gsc_ext.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "# v5.00"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nYD-rya2B9sP",
        "outputId": "826d8d73-ff41-42f1-8eaa-3a32ce3b2b83",
        "tags": [
          "def"
        ]
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]     /home/gs/nltk_data...\n",
            "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
            "[nltk_data]       date!\n",
            "[nltk_data] Downloading package omw to /home/gs/nltk_data...\n",
            "[nltk_data]   Package omw is already up-to-date!\n",
            "[nltk_data] Downloading package punkt to /home/gs/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package stopwords to /home/gs/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package wordnet to /home/gs/nltk_data...\n",
            "[nltk_data]   Package wordnet is already up-to-date!\n",
            "2023-11-24 09:39:11.403536: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2023-11-24 09:39:15.204929: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
          ]
        }
      ],
      "source": [
        "# ----------- Importazione delle librerie standard e di terze parti -----------\n",
        "# Moduli per la manipolazione dei dati e per operazioni matematiche\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import math\n",
        "import re\n",
        "import json\n",
        "from collections import Counter\n",
        "from operator import itemgetter\n",
        "import string\n",
        "# Moduli per le operazioni con le date\n",
        "import datetime\n",
        "from datetime import datetime, timedelta\n",
        "import time\n",
        "# Moduli per la gestione dei file e delle directory\n",
        "import os\n",
        "# Moduli per la visualizzazione dei dati\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "# Moduli per la gestione delle richieste HTTP e per la manipolazione del HTML\n",
        "import requests\n",
        "from fake_useragent import UserAgent\n",
        "from bs4 import BeautifulSoup\n",
        "from lxml import html\n",
        "# Moduli per la gestione delle interfacce utente\n",
        "import tkinter as tk\n",
        "from tkinter import messagebox\n",
        "# Moduli per l'apprendimento automatico e l'analisi del testo\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem import PorterStemmer\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "from nltk.stem.snowball import SnowballStemmer\n",
        "from nltk.tokenize import word_tokenize\n",
        "# Scarica i pacchetti necessari di nltk se non sono già presenti\n",
        "nltk.download('averaged_perceptron_tagger')\n",
        "nltk.download('omw')\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')\n",
        "nltk.download('wordnet')\n",
        "# Moduli specifici per l'analisi e la manipolazione del testo in italiano\n",
        "import spacy\n",
        "#nlp = spacy.load(\"it_core_news_lg\")\n",
        "\n",
        "# python -m spacy download it_core_news_lg\n",
        "nlp = spacy.load(\"it_core_news_lg\", disable=[\"tagger\", \"parser\", \"entityrecognizer\"])\n",
        "# update\n",
        "# python -m spacy download it_core_news_lg\n",
        "stemmer = SnowballStemmer(\"italian\")\n",
        "stopwords = stopwords.words('italian')\n",
        "# Modulo per l'interazione con l'API di OpenAI\n",
        "import openai\n",
        "# Modulo per l'interazione con Google Search Console\n",
        "# pip install git+https://github.com/joshcarty/google-searchconsole\n",
        "import searchconsole\n",
        "# Modulo per la visualizzazione della barra di avanzamento\n",
        "from tqdm import tqdm"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "from dotenv import load_dotenv\n",
        "import os\n",
        "load_dotenv()  # Carica le variabili d'ambiente dal file .env\n",
        "api_key = os.getenv(\"openai.api_key\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "# OPZIONI\n",
        "#################################################################\n",
        "## DATI GSC - number of days to split into segments min 3 max 365\n",
        "giorni = 30 # valore da 1 a 480\n",
        "# filtri URL per chiamate GSC\n",
        "contains_gsc = \"\"\n",
        "# filtro COUNTRY, un solo valore - sigle country https://en.wikipedia.org/wiki/ISO_3166-1_alpha-3\n",
        "countryCall=\"\" # ITA, USA, GBR, DEU, FRA, ...\n",
        "## BRAND ###############################################################\n",
        "query_brand = \"\"\n",
        "#################################################################\n",
        "## HTTP CRAWLER - massime richieste crawler, min 1\n",
        "counter_max = 1\n",
        "# pausa tra una chiamata http e l'altra del title crawler\n",
        "attesa=1\n",
        "# Opzioni per la scelta dell'User-Agent per la scansione\n",
        "user_agent_option = 'fixed'  # Opzioni: 'random', 'chrome', 'fixed'\n",
        "# filtri URL da scansionare | separatore\n",
        "include=\"\"\n",
        "exclude=\"\"\n",
        "## PREVISIONI ################################################\n",
        "previsioni = 'no' # si/no\n",
        "## FORMATTAZIONE ###############################################################\n",
        "formattazione = 'no' # si/no\n",
        "## FILTRI ###############################################################\n",
        "min_imp = 100 # valore libero da 1 a infinito\n",
        "max_pos = 100 # 1-100"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_cKyxRbmFGuj",
        "outputId": "48aa1d73-0d47-45f7-bf4d-80bd97851383"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Please visit this URL to authorize this application: https://accounts.google.com/o/oauth2/auth?response_type=code&client_id=615773305903-ieefueojceq5624v7e9otk5clcneulpm.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost%3A8080%2F&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fwebmasters.readonly&state=gnrbSPtDXPFDm9CpXilGtWV1SA6mLZ&access_type=offline\n"
          ]
        }
      ],
      "source": [
        "# Get the absolute path of the credentials file\n",
        "creds_path = os.path.abspath(\"client_secret_.json\")\n",
        "# Load the client configuration from the file\n",
        "with open(creds_path, 'r') as f:\n",
        "    client_config = json.load(f)\n",
        "# Authenticate with the Search Console API\n",
        "#account = searchconsole.authenticate(client_config=client_config, serialize='credentials.json', flow='console')\n",
        "account = searchconsole.authenticate(client_config=client_config, serialize='credentials.json', flow='web')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Hai selezionato la proprietà https://www.evemilano.com/\n"
          ]
        }
      ],
      "source": [
        "# Crea una finestra di dialogo per mostrare le proprietà filtrate\n",
        "\n",
        "import tkinter as tk\n",
        "from tkinter import messagebox\n",
        "\n",
        "# Funzione per mostrare le proprietà filtrate\n",
        "def show_properties(properties):\n",
        "    def select_property():\n",
        "        nonlocal selected\n",
        "        try:\n",
        "            selected = int(lb.curselection()[0])\n",
        "            root.destroy()\n",
        "        except:\n",
        "            messagebox.showerror(\"Errore\", \"Devi selezionare una proprietà.\")\n",
        "\n",
        "    root = tk.Tk()\n",
        "    root.title(\"Proprietà filtrate\")\n",
        "    root.geometry(\"640x480\")\n",
        "    lb = tk.Listbox(root)\n",
        "    for prop in properties:\n",
        "        lb.insert(tk.END, prop.url)\n",
        "    lb.pack(fill=tk.BOTH, expand=True)\n",
        "    select_button = tk.Button(root, text=\"Seleziona\", command=select_property)\n",
        "    select_button.pack(side=tk.BOTTOM, pady=10)\n",
        "    selected = None\n",
        "    root.mainloop()\n",
        "    return selected\n",
        "\n",
        "while True:\n",
        "    # Chiede all'utente di inserire una parola chiave\n",
        "    keyword = input(\"Inserisci la parola chiave per il filtro (oppure digita 'exit' per uscire): \")\n",
        "    if keyword.lower() == 'exit':\n",
        "        print(\"Script interrotto dall'utente.\")\n",
        "        break\n",
        "\n",
        "    # Filtra le proprietà in base alla parola chiave\n",
        "    filtered_properties = [prop for prop in account.webproperties if keyword in prop.url]\n",
        "    \n",
        "    # Gestisce i casi di nessuna proprietà trovata\n",
        "    if len(filtered_properties) == 0:\n",
        "        print(\"Nessuna proprietà trovata. Riprova.\")\n",
        "        continue\n",
        "\n",
        "    # Mostra la finestra con le proprietà filtrate\n",
        "    selected_index = show_properties(filtered_properties)\n",
        "    if selected_index is None:\n",
        "        print(\"Nessuna proprietà selezionata.\")\n",
        "    else:\n",
        "        webproperty = filtered_properties[selected_index]\n",
        "        print(f\"Hai selezionato la proprietà {webproperty.url}\")\n",
        "        break\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Esiste. L'URL https://www.evemilano.com/ ha restituito uno status code 200\n"
          ]
        }
      ],
      "source": [
        "# se profilo GSC dominio, trasforma in URL\n",
        "if webproperty.url.startswith(\"sc-domain:\"):\n",
        "    url = \"https://\" + webproperty.url[len(\"sc-domain:\"):]\n",
        "    # prova a connetterti al sito\n",
        "    try:\n",
        "        response = requests.get(url)\n",
        "        if response.status_code == 200:\n",
        "            print(f\"Esiste. L'URL {url} ha restituito uno status code {response.status_code}\")\n",
        "        else:\n",
        "            print(f\"Non raggiungibile. L'URL {url} ha restituito uno status code {response.status_code}\")\n",
        "    except requests.exceptions.ConnectionError as e:\n",
        "        print(f\"Errore di connessione: {e}\")\n",
        "else:\n",
        "    url = webproperty.url\n",
        "    # prova a connetterti al sito\n",
        "    try:\n",
        "        response = requests.get(webproperty.url)\n",
        "        if response.status_code == 200:\n",
        "            print(f\"Esiste. L'URL {webproperty.url} ha restituito uno status code {response.status_code}\")\n",
        "        else:\n",
        "            print(f\"Non raggiungibile. L'URL {webproperty.url} ha restituito uno status code {response.status_code}\")\n",
        "    except requests.exceptions.ConnectionError as e:\n",
        "        print(f\"Errore di connessione: {e}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KeGcx62OTrBe",
        "outputId": "66df7916-a8f5-42c3-b4ae-cb951f927eb7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<searchconsole.account.WebProperty(url='https://www.evemilano.com/')>"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "##########################################\n",
        "# opzione UX selezione sito web da lista #\n",
        "##########################################\n",
        "# usare pagina di selezione sito web già presente in altri tool sul server\n",
        "\n",
        "# webproperty=account[str(property_name)]\n",
        "# https://github.com/joshcarty/google-searchconsole\n",
        "\n",
        "def extract_gsc_data(webproperty, start, stop, countryCall, contains_gsc, *args):\n",
        " if webproperty is not None:\n",
        "   print(f'Extracting data for {webproperty}')\n",
        "   gsc_data = webproperty.query.range(start, stop).dimension(*args).filter('country',countryCall,'contains').filter('page',contains_gsc,'contains').get()\n",
        "   return gsc_data\n",
        " else:\n",
        "   print('Webproperty not found, please select the correct one')\n",
        "   return None\n",
        "\n",
        "webproperty"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "GSC_EXT_evemilano.com_30days_1crawls_20231124_0939\n",
            "output/evemilano.com\n",
            "GSC_EXT_evemilano.com_30days_1crawls_20231124_0939.xlsx\n"
          ]
        }
      ],
      "source": [
        "# crea pattern filename\n",
        "# Ripulisci il nome della proprietà\n",
        "property_name = webproperty.url.replace('https://', '').replace('http://', '').replace('www.', '').replace('/', '')\n",
        "# Ottieni la data e l'ora corrente\n",
        "now = datetime.now()\n",
        "# Formatta la data e l'ora in una stringa\n",
        "now_str = now.strftime(\"%Y%m%d_%H%M\")\n",
        "# crea filename pattern\n",
        "file_name= f\"GSC_EXT_{property_name}_{giorni}days_{counter_max}crawls_{now_str}\"\n",
        "file_name = file_name.replace(\":\", \"-\")\n",
        "\n",
        "print(file_name)\n",
        "\n",
        "# Specifica la cartella di output\n",
        "output_dir = \"output\"\n",
        "if not os.path.exists(output_dir):\n",
        "    os.makedirs(output_dir)\n",
        "# Crea il nome del file\n",
        "filename = f\"{file_name}.xlsx\"\n",
        "# crea cartella della property\n",
        "new_output_dir = f\"{output_dir}/{property_name}\"\n",
        "# Replace \":\" with \"-\" in filename\n",
        "new_output_dir=new_output_dir.replace(\":\", \"-\")\n",
        "filename=filename.replace(\":\", \"-\")\n",
        "# Crea la cartella se non esiste\n",
        "os.makedirs(new_output_dir, exist_ok=True)\n",
        "print(new_output_dir)\n",
        "print(filename)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1633
        },
        "id": "Rem1-UiSKOYL",
        "outputId": "e5d59b01-2786-4228-c24d-5695c0cafe71"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requests from 2023-10-24 00:00:00 to 2023-10-24 23:59:59 (1/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-10-25 00:00:00 to 2023-10-25 23:59:59 (2/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-10-26 00:00:00 to 2023-10-26 23:59:59 (3/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-10-27 00:00:00 to 2023-10-27 23:59:59 (4/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-10-28 00:00:00 to 2023-10-28 23:59:59 (5/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-10-29 00:00:00 to 2023-10-29 23:59:59 (6/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-10-30 00:00:00 to 2023-10-30 23:59:59 (7/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-10-31 00:00:00 to 2023-10-31 23:59:59 (8/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-01 00:00:00 to 2023-11-01 23:59:59 (9/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-02 00:00:00 to 2023-11-02 23:59:59 (10/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-03 00:00:00 to 2023-11-03 23:59:59 (11/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-04 00:00:00 to 2023-11-04 23:59:59 (12/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-05 00:00:00 to 2023-11-05 23:59:59 (13/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-06 00:00:00 to 2023-11-06 23:59:59 (14/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-07 00:00:00 to 2023-11-07 23:59:59 (15/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-08 00:00:00 to 2023-11-08 23:59:59 (16/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-09 00:00:00 to 2023-11-09 23:59:59 (17/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-10 00:00:00 to 2023-11-10 23:59:59 (18/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-11 00:00:00 to 2023-11-11 23:59:59 (19/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-12 00:00:00 to 2023-11-12 23:59:59 (20/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-13 00:00:00 to 2023-11-13 23:59:59 (21/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-14 00:00:00 to 2023-11-14 23:59:59 (22/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-15 00:00:00 to 2023-11-15 23:59:59 (23/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-16 00:00:00 to 2023-11-16 23:59:59 (24/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-17 00:00:00 to 2023-11-17 23:59:59 (25/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-18 00:00:00 to 2023-11-18 23:59:59 (26/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-19 00:00:00 to 2023-11-19 23:59:59 (27/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-20 00:00:00 to 2023-11-20 23:59:59 (28/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-21 00:00:00 to 2023-11-21 23:59:59 (29/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-22 00:00:00 to 2023-11-22 23:59:59 (30/30)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "No data found for period 2023-11-22 00:00:00 to 2023-11-22 23:59:59.\n",
            "Rows: 136018\n"
          ]
        },
        {
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>cdata xml</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>26.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fail2ban</td>\n",
              "      <td>https://www.evemilano.com/fail2ban/</td>\n",
              "      <td>3</td>\n",
              "      <td>26</td>\n",
              "      <td>0.115385</td>\n",
              "      <td>4.692308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>regular expression</td>\n",
              "      <td>https://www.evemilano.com/come-funzionano-le-e...</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>0.075000</td>\n",
              "      <td>4.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>eliminare caratteri da una stringa excel</td>\n",
              "      <td>https://www.evemilano.com/rimuovere-ultimo-car...</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>eliminare un carattere da una cella excel</td>\n",
              "      <td>https://www.evemilano.com/rimuovere-ultimo-car...</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>eve milano</td>\n",
              "      <td>https://www.evemilano.com/</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>excel eliminare ultimo carattere</td>\n",
              "      <td>https://www.evemilano.com/rimuovere-ultimo-car...</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>regex .*</td>\n",
              "      <td>https://www.evemilano.com/come-funzionano-le-e...</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>rel noopener</td>\n",
              "      <td>https://www.evemilano.com/noreferrer-noopener/</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>ssh chiave pubblica e privata</td>\n",
              "      <td>https://www.evemilano.com/guida-chiavi-ssh/</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.500000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                       query   \n",
              "0                                  cdata xml  \\\n",
              "1                                   fail2ban   \n",
              "2                         regular expression   \n",
              "3   eliminare caratteri da una stringa excel   \n",
              "4  eliminare un carattere da una cella excel   \n",
              "5                                 eve milano   \n",
              "6           excel eliminare ultimo carattere   \n",
              "7                                   regex .*   \n",
              "8                               rel noopener   \n",
              "9              ssh chiave pubblica e privata   \n",
              "\n",
              "                                                page  clicks  impressions   \n",
              "0               https://www.evemilano.com/cdata-xml/       4            6  \\\n",
              "1                https://www.evemilano.com/fail2ban/       3           26   \n",
              "2  https://www.evemilano.com/come-funzionano-le-e...       3           40   \n",
              "3  https://www.evemilano.com/rimuovere-ultimo-car...       2            5   \n",
              "4  https://www.evemilano.com/rimuovere-ultimo-car...       2            3   \n",
              "5                         https://www.evemilano.com/       2            3   \n",
              "6  https://www.evemilano.com/rimuovere-ultimo-car...       2            2   \n",
              "7  https://www.evemilano.com/come-funzionano-le-e...       2            2   \n",
              "8     https://www.evemilano.com/noreferrer-noopener/       2            6   \n",
              "9        https://www.evemilano.com/guida-chiavi-ssh/       2            2   \n",
              "\n",
              "        ctr   position  \n",
              "0  0.666667  26.666667  \n",
              "1  0.115385   4.692308  \n",
              "2  0.075000   4.900000  \n",
              "3  0.400000   1.000000  \n",
              "4  0.666667   1.000000  \n",
              "5  0.666667   1.000000  \n",
              "6  1.000000   1.000000  \n",
              "7  1.000000   1.000000  \n",
              "8  0.333333   3.000000  \n",
              "9  1.000000   2.500000  "
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per generare l'intervallo di date\n",
        "def get_date_range(num_days_back):\n",
        "    today = datetime.now()\n",
        "    start_date = today - timedelta(days=num_days_back+1)\n",
        "    end_date = today - timedelta(days=1)  # la data finale è ieri\n",
        "    return start_date.strftime('%Y-%m-%d'), end_date.strftime('%Y-%m-%d')\n",
        "\n",
        "# Imposta il periodo di tempo\n",
        "start_date, end_date = get_date_range(giorni)\n",
        "\n",
        "# Converti le date in formato datetime se sono stringhe\n",
        "if type(start_date) == str:\n",
        "    start_date = datetime.strptime(start_date, '%Y-%m-%d')\n",
        "if type(end_date) == str:\n",
        "    end_date = datetime.strptime(end_date, '%Y-%m-%d')\n",
        "\n",
        "# Crea segmenti di un giorno\n",
        "date_segments = [(start_date + timedelta(days=i), start_date + timedelta(days=i + 1) - timedelta(seconds=1))\n",
        "                 for i in range((end_date - start_date).days)]\n",
        "\n",
        "total_segments = len(date_segments)  # Calcola il numero totale di segmenti\n",
        "\n",
        "# Lista per memorizzare i dati di ogni segmento\n",
        "segment_data = []\n",
        "max_attempts = 3  # Numero massimo di tentativi per chiamata\n",
        "\n",
        "# Ciclo su ogni segmento di date\n",
        "for index, (start, end) in enumerate(date_segments):\n",
        "#for start, end in date_segments:\n",
        "    completed = False\n",
        "    attempts = 0\n",
        "    no_data_found = False\n",
        "\n",
        "    while not completed and attempts < max_attempts:\n",
        "        try:\n",
        "            #print(f'Requests from {start} to {end}')\n",
        "            print(f'Requests from {start} to {end} ({index + 1}/{total_segments})')\n",
        "            #ex = extract_gsc_data(webproperty, start, end, countryCall,'query', 'page', 'country','device')\n",
        "            ex = extract_gsc_data(webproperty, start, end, countryCall,contains_gsc,'query', 'page')\n",
        "        except Exception as e:\n",
        "            print(f\"Error: {e}\")\n",
        "            attempts += 1\n",
        "            print(f\"Retrying, attempt {attempts}/{max_attempts}...\")\n",
        "        else:\n",
        "            if ex:\n",
        "                segment_data.append(ex.to_dataframe())\n",
        "                completed = True\n",
        "            else:\n",
        "                no_data_found = True\n",
        "                break  # Interrompi il ciclo while se non vengono trovati dati\n",
        "    if no_data_found:\n",
        "        print(f\"No data found for period {start} to {end}.\")\n",
        "\n",
        "# Concatenazione dei dati\n",
        "final_data = pd.concat(segment_data, ignore_index=True)    \n",
        "print(f'Rows: {final_data.shape[0]}')\n",
        "final_data.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 2125\n",
            "Somma totale delle impressions: 321128\n"
          ]
        }
      ],
      "source": [
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_data['clicks'].sum()\n",
        "total_impressions = final_data['impressions'].sum()\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_hKfTPD6mBkw",
        "outputId": "fdb92a71-71dc-41d5-d37e-4ada736be255"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "115844 righe\n",
            "Somma totale dei clicks: 2120\n",
            "Somma totale delle impressions: 282432\n"
          ]
        },
        {
          "data": {
            "text/html": [
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>cdata xml</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fail2ban</td>\n",
              "      <td>https://www.evemilano.com/fail2ban/</td>\n",
              "      <td>3</td>\n",
              "      <td>26</td>\n",
              "      <td>0.115385</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>regular expression</td>\n",
              "      <td>https://www.evemilano.com/come-funzionano-le-e...</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>0.075000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>eliminare caratteri da una stringa excel</td>\n",
              "      <td>https://www.evemilano.com/rimuovere-ultimo-car...</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>eliminare un carattere da una cella excel</td>\n",
              "      <td>https://www.evemilano.com/rimuovere-ultimo-car...</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136013</th>\n",
              "      <td>your money your life google</td>\n",
              "      <td>https://www.evemilano.com/ymyl/</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136014</th>\n",
              "      <td>youtube account google</td>\n",
              "      <td>https://www.evemilano.com/account-google-ads/</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136015</th>\n",
              "      <td>youtube org</td>\n",
              "      <td>https://www.evemilano.com/schema-youtube/</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136016</th>\n",
              "      <td>حقخءغ</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136017</th>\n",
              "      <td>ما هو البروكسي</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>115844 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                            query   \n",
              "0                                       cdata xml  \\\n",
              "1                                        fail2ban   \n",
              "2                              regular expression   \n",
              "3        eliminare caratteri da una stringa excel   \n",
              "4       eliminare un carattere da una cella excel   \n",
              "...                                           ...   \n",
              "136013                your money your life google   \n",
              "136014                     youtube account google   \n",
              "136015                                youtube org   \n",
              "136016                                      حقخءغ   \n",
              "136017                             ما هو البروكسي   \n",
              "\n",
              "                                                     page  clicks   \n",
              "0                    https://www.evemilano.com/cdata-xml/       4  \\\n",
              "1                     https://www.evemilano.com/fail2ban/       3   \n",
              "2       https://www.evemilano.com/come-funzionano-le-e...       3   \n",
              "3       https://www.evemilano.com/rimuovere-ultimo-car...       2   \n",
              "4       https://www.evemilano.com/rimuovere-ultimo-car...       2   \n",
              "...                                                   ...     ...   \n",
              "136013                    https://www.evemilano.com/ymyl/       0   \n",
              "136014      https://www.evemilano.com/account-google-ads/       0   \n",
              "136015          https://www.evemilano.com/schema-youtube/       0   \n",
              "136016            https://www.evemilano.com/proxy-server/       0   \n",
              "136017            https://www.evemilano.com/proxy-server/       0   \n",
              "\n",
              "        impressions       ctr  position  \n",
              "0                 6  0.666667        26  \n",
              "1                26  0.115385         4  \n",
              "2                40  0.075000         4  \n",
              "3                 5  0.400000         1  \n",
              "4                 3  0.666667         1  \n",
              "...             ...       ...       ...  \n",
              "136013            1  0.000000         8  \n",
              "136014            1  0.000000        20  \n",
              "136015            1  0.000000        39  \n",
              "136016            1  0.000000        12  \n",
              "136017            1  0.000000         1  \n",
              "\n",
              "[115844 rows x 6 columns]"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# pulizia db raw \n",
        "# final_data contiene tutte le chiamate alle API\n",
        "final_data1=final_data.copy()\n",
        "######################################\n",
        "\n",
        "# funzione di verifica idoneità del df e pulizia righe\n",
        "def drop_rows_with_hash_and_empty_query(df):\n",
        "    # Controlla se le COLONNE necessarie sono presenti nel DataFrame\n",
        "    if 'page' not in df.columns or 'query' not in df.columns:\n",
        "        print(\"Il DataFrame non ha le colonne necessarie ('page' o 'query'). Operazione interrotta.\")\n",
        "        return df\n",
        "    # Rimuovi righe con '#' nel campo 'page'\n",
        "    df = df[~df['page'].str.contains(\"#\")]\n",
        "    # Rimuovi righe con valori NaN, Null o vuoti nel campo 'query'\n",
        "    df = df[df['query'].notnull() & (df['query'].str.strip() != '')]\n",
        "    return df\n",
        "\n",
        "# Controlla se il DataFrame esiste e ha almeno una riga\n",
        "if 'final_data1' in locals() and not final_data1.empty:\n",
        "    final_data1 = drop_rows_with_hash_and_empty_query(final_data1) # pulisci il dataframe\n",
        "    # print e show\n",
        "    print(f'{final_data1.shape[0]} righe')\n",
        "    final_data1.head(1)\n",
        "else:\n",
        "    print(\"Il DataFrame non esiste o è vuoto. Operazione interrotta.\")\n",
        "    raise SystemExit\n",
        "\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_data1['clicks'].sum()\n",
        "total_impressions = final_data1['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "# formatta position in numero intero\n",
        "final_data1['position'] = final_data1['position'].astype(int)\n",
        "final_data1.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Funzione per calcolare la media ponderata\n",
        "def weighted_mean(values, weights):\n",
        "    return np.sum(values * weights) / np.sum(weights)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [],
      "source": [
        "# funzione formatta ctr\n",
        "def format_ctr(value):\n",
        "    if isinstance(value, float):\n",
        "        return value / 100  # Converti il valore percentuale in float\n",
        "    return value"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Copiando i dati per la lavorazione...\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Calcolando il CTR...\n",
            "Ordinando la tabella pivot per impressions...\n",
            "Formattando e rinominando la colonna 'position'...\n",
            "Applicando la formattazione al CTR...\n",
            "Ordinando le colonne...\n",
            "Calcolando la somma totale di clicks e impressions...\n",
            "Somma totale dei clicks: 2120\n",
            "Somma totale delle impressions: 282432\n",
            "Rows: 20455\n"
          ]
        },
        {
          "data": {
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              "<style scoped>\n",
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              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "      <th></th>\n",
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              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>proxy</th>\n",
              "      <th>https://www.evemilano.com/proxy-server/</th>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>web archive</th>\n",
              "      <th>https://www.evemilano.com/web-archive/</th>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>webarchive</th>\n",
              "      <th>https://www.evemilano.com/web-archive/</th>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gdpr significato</th>\n",
              "      <th>https://www.evemilano.com/gdpr/</th>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>agenzia seo</th>\n",
              "      <th>https://www.evemilano.com/servizi-seo/agenzia/</th>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                 clicks   \n",
              "query            page                                                     \n",
              "proxy            https://www.evemilano.com/proxy-server/              1  \\\n",
              "web archive      https://www.evemilano.com/web-archive/              23   \n",
              "webarchive       https://www.evemilano.com/web-archive/              11   \n",
              "gdpr significato https://www.evemilano.com/gdpr/                      0   \n",
              "agenzia seo      https://www.evemilano.com/servizi-seo/agenzia/       0   \n",
              "\n",
              "                                                                 impressions   \n",
              "query            page                                                          \n",
              "proxy            https://www.evemilano.com/proxy-server/                6930  \\\n",
              "web archive      https://www.evemilano.com/web-archive/                 6059   \n",
              "webarchive       https://www.evemilano.com/web-archive/                 4216   \n",
              "gdpr significato https://www.evemilano.com/gdpr/                        3074   \n",
              "agenzia seo      https://www.evemilano.com/servizi-seo/agenzia/         2567   \n",
              "\n",
              "                                                                  ctr   \n",
              "query            page                                                   \n",
              "proxy            https://www.evemilano.com/proxy-server/        0.01%  \\\n",
              "web archive      https://www.evemilano.com/web-archive/         0.38%   \n",
              "webarchive       https://www.evemilano.com/web-archive/         0.26%   \n",
              "gdpr significato https://www.evemilano.com/gdpr/                0.00%   \n",
              "agenzia seo      https://www.evemilano.com/servizi-seo/agenzia/ 0.00%   \n",
              "\n",
              "                                                                 weighted avg position  \n",
              "query            page                                                                   \n",
              "proxy            https://www.evemilano.com/proxy-server/                             8  \n",
              "web archive      https://www.evemilano.com/web-archive/                              4  \n",
              "webarchive       https://www.evemilano.com/web-archive/                              4  \n",
              "gdpr significato https://www.evemilano.com/gdpr/                                     9  \n",
              "agenzia seo      https://www.evemilano.com/servizi-seo/agenzia/                     87  "
            ]
          },
          "execution_count": 65,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# tabella pivot query uniche da API\n",
        "print(\"Copiando i dati per la lavorazione...\")\n",
        "final_data2=final_data1.copy()\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "print(\"Creando la tabella pivot...\")\n",
        "# Creazione della tabella pivot\n",
        "export_api_pvt = final_data2.pivot_table(\n",
        "    index=['query', 'page'], \n",
        "    values=['clicks', 'impressions', 'position'], \n",
        "    aggfunc={\n",
        "        'clicks': 'sum', \n",
        "        'impressions': 'sum',\n",
        "        'position': lambda x: weighted_mean(x, final_data2.loc[x.index, 'impressions'])\n",
        "    }\n",
        ")\n",
        "\n",
        "# Calcolo del CTR direttamente sul pivot table\n",
        "print(\"Calcolando il CTR...\")\n",
        "export_api_pvt['ctr'] = (export_api_pvt['clicks'] / export_api_pvt['impressions']) * 100\n",
        "\n",
        "# Ordina la tabella pivot in base alle impressions\n",
        "print(\"Ordinando la tabella pivot per impressions...\")\n",
        "export_api_pvt.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "\n",
        "# rinomina e formatta position\n",
        "print(\"Formattando e rinominando la colonna 'position'...\")\n",
        "export_api_pvt['position'] = export_api_pvt['position'].astype(int)\n",
        "export_api_pvt = export_api_pvt.rename(columns={'position': 'weighted avg position'})\n",
        "\n",
        "\n",
        "# Apply the formatting to the CTR column\n",
        "print(\"Applicando la formattazione al CTR...\")\n",
        "export_api_pvt['ctr'] = export_api_pvt['ctr'].apply(format_ctr)\n",
        "\n",
        "# ordina le colonne\n",
        "print(\"Ordinando le colonne...\")\n",
        "export_api_pvt = export_api_pvt.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "print(\"Calcolando la somma totale di clicks e impressions...\")\n",
        "total_clicks = export_api_pvt['clicks'].sum()\n",
        "total_impressions = export_api_pvt['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(export_api_pvt.shape[0]))\n",
        "export_api_pvt.head(10)\n",
        "\n",
        "\n",
        "# test con media calcolata fuori dalla pivot\n",
        "# da testare su larghi dataset\n",
        "if False:\n",
        "\n",
        "    # tabella pivot query uniche da API\n",
        "    # test speed senza vecchia funzione LAMBDA\n",
        "\n",
        "    print(\"Copiando i dati per la lavorazione...\")\n",
        "    final_data2=final_data1.copy()\n",
        "\n",
        "    # Calcola la posizione ponderata (weighted position) per ogni riga in final_data2\n",
        "    final_data2['weighted_position'] = final_data2['position'] * final_data2['impressions']\n",
        "\n",
        "    # Modifica la tabella pivot per usare il nuovo calcolo\n",
        "    export_api_pvt = final_data2.pivot_table(\n",
        "        index=['query', 'page'], \n",
        "        values=['clicks', 'impressions', 'weighted_position'], \n",
        "        aggfunc={\n",
        "            'clicks': 'sum', \n",
        "            'impressions': 'sum',\n",
        "            'weighted_position': 'sum'\n",
        "        }\n",
        "    )\n",
        "\n",
        "    # Calcola la posizione finale ponderata\n",
        "    export_api_pvt['position'] = export_api_pvt['weighted_position'] / export_api_pvt['impressions']\n",
        "    export_api_pvt.drop(columns=['weighted_position'], inplace=True)\n",
        "\n",
        "    # Calcolo del CTR direttamente sul pivot table\n",
        "    print(\"Calcolando il CTR...\")\n",
        "    export_api_pvt['ctr'] = (export_api_pvt['clicks'] / export_api_pvt['impressions']) * 100\n",
        "\n",
        "    # Ordina la tabella pivot in base alle impressions\n",
        "    print(\"Ordinando la tabella pivot per impressions...\")\n",
        "    export_api_pvt.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "\n",
        "    # rinomina e formatta position\n",
        "    print(\"Formattando e rinominando la colonna 'position'...\")\n",
        "    export_api_pvt = export_api_pvt.rename(columns={'position': 'weighted avg position'})\n",
        "    export_api_pvt['weighted avg position'] = export_api_pvt['weighted avg position'].astype(int)\n",
        "\n",
        "    # Apply the formatting to the CTR column \n",
        "    print(\"Applicando la formattazione al CTR...\")\n",
        "    export_api_pvt['ctr'] = export_api_pvt['ctr'].apply(format_ctr)\n",
        "\n",
        "    # ordina le colonne\n",
        "    print(\"Ordinando le colonne...\")\n",
        "    export_api_pvt = export_api_pvt.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "    # Stampa la somma totale dei clicks e delle impressions\n",
        "    print(\"Calcolando la somma totale di clicks e impressions...\")\n",
        "    total_clicks = export_api_pvt['clicks'].sum()\n",
        "    total_impressions = export_api_pvt['impressions'].sum()\n",
        "\n",
        "    print(\"Somma totale dei clicks:\", total_clicks)\n",
        "    print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "    # Mostra la tabella pivot ordinata\n",
        "    print(\"Rows: \" + str(export_api_pvt.shape[0]))\n",
        "    export_api_pvt.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "id": "qJIsogadT_oc",
        "outputId": "1af54fb2-b7fc-4ab5-a923-4982fcaefb6d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Rows: 20455\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.000144</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.003796</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.002609</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions   \n",
              "0        proxy  https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1  web archive   https://www.evemilano.com/web-archive/      23         6059   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/      11         4216   \n",
              "\n",
              "        ctr  weighted avg position  \n",
              "0  0.000144                      8  \n",
              "1  0.003796                      4  \n",
              "2  0.002609                      4  "
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# crea foglio raw\n",
        "raw_df = export_api_pvt.copy()\n",
        "raw_df = raw_df.reset_index()\n",
        "print(\"Rows: \" + str(raw_df.shape[0]))\n",
        "raw_df.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Preparazione dei dati\n",
            "Conversione colonna query in stringa\n",
            "Creazione colonna conta caratteri\n",
            "Rimozione stopword e applica stemming in un unico passaggio\n",
            "Conteggio stemmi e ordinamento per frequenza\n",
            "Mappatura degli stemmi alle loro posizioni nella lista ordinata\n",
            "Creazione della nuova colonna ordinando gli stemmi per frequenza\n",
            "Creazione della nuova colonna Stemma più frequente\n",
            "Eliminazione colonna Stemming\n",
            "Somma totale dei clicks: 2120\n",
            "Somma totale delle impressions: 282432\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.000144</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.003796</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.002609</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9</td>\n",
              "      <td>16</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>87</td>\n",
              "      <td>11</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>proxy significato</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>2</td>\n",
              "      <td>2401</td>\n",
              "      <td>0.000833</td>\n",
              "      <td>9</td>\n",
              "      <td>17</td>\n",
              "      <td>signific proxy</td>\n",
              "      <td>signific</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               query                                            page  clicks   \n",
              "0              proxy         https://www.evemilano.com/proxy-server/       1  \\\n",
              "1        web archive          https://www.evemilano.com/web-archive/      23   \n",
              "2         webarchive          https://www.evemilano.com/web-archive/      11   \n",
              "3   gdpr significato                 https://www.evemilano.com/gdpr/       0   \n",
              "4        agenzia seo  https://www.evemilano.com/servizi-seo/agenzia/       0   \n",
              "5  proxy significato         https://www.evemilano.com/proxy-server/       2   \n",
              "\n",
              "   impressions       ctr  weighted avg position  Char Ordered by frequency   \n",
              "0         6930  0.000144                      8     5                proxy  \\\n",
              "1         6059  0.003796                      4    11           web archiv   \n",
              "2         4216  0.002609                      4    10               webarc   \n",
              "3         3074  0.000000                      9    16        signific gdpr   \n",
              "4         2567  0.000000                     87    11            seo agenz   \n",
              "5         2401  0.000833                      9    17       signific proxy   \n",
              "\n",
              "  Strongest word stem  \n",
              "0               proxy  \n",
              "1                 web  \n",
              "2              webarc  \n",
              "3            signific  \n",
              "4                 seo  \n",
              "5            signific  "
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# PULIZIA E embedding delle query\n",
        "###################################################################################\n",
        "print(\"Preparazione dei dati\")\n",
        "print(\"Conversione colonna query in stringa\")\n",
        "raw_df['query'] = raw_df['query'].fillna('').apply(str)\n",
        "print(\"Creazione colonna conta caratteri\")\n",
        "raw_df['Char'] = raw_df['query'].apply(len)  \n",
        "\n",
        "print(\"Rimozione stopword e applica stemming in un unico passaggio\")\n",
        "raw_df['Stemming'] = raw_df['query'].apply(\n",
        "    lambda x: ' '.join([stemmer.stem(word) for word in x.split() if word.lower() not in stopwords]))\n",
        "\n",
        "print(\"Conteggio stemmi e ordinamento per frequenza\")\n",
        "stem_counts = Counter(' '.join(raw_df['Stemming']).split())\n",
        "sorted_stems = sorted(stem_counts.items(), key=itemgetter(1), reverse=True)\n",
        "\n",
        "print(\"Mappatura degli stemmi alle loro posizioni nella lista ordinata\")\n",
        "stem_position_dict = {stem: i for i, (stem, _) in enumerate(sorted_stems)}\n",
        "\n",
        "print(\"Creazione della nuova colonna ordinando gli stemmi per frequenza\")\n",
        "raw_df['Ordered by frequency'] = raw_df['Stemming'].apply(\n",
        "    lambda x: ' '.join(sorted(x.split(), key=stem_position_dict.get)))\n",
        "\n",
        "print(\"Creazione della nuova colonna Stemma più frequente\")\n",
        "raw_df['Strongest word stem'] = raw_df['Ordered by frequency'].str.split().str[0]\n",
        "\n",
        "print(\"Eliminazione colonna Stemming\")\n",
        "raw_df = raw_df.drop([ 'Stemming'], axis=1)\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_df['clicks'].sum()\n",
        "total_impressions = raw_df['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "raw_df.head(6)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Elaborazione dei testi con SpaCy avviata\n",
            "Estrazione sostantivi\n",
            "Somma totale dei clicks: 2120\n",
            "Somma totale delle impressions: 282432\n",
            "classificazione Spacy terminata\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.000144</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.003796</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.002609</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions   \n",
              "0        proxy  https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1  web archive   https://www.evemilano.com/web-archive/      23         6059   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/      11         4216   \n",
              "\n",
              "        ctr  weighted avg position  Char Ordered by frequency   \n",
              "0  0.000144                      8     5                proxy  \\\n",
              "1  0.003796                      4    11           web archiv   \n",
              "2  0.002609                      4    10               webarc   \n",
              "\n",
              "  Strongest word stem spacy_nouns  \n",
              "0               proxy       proxy  \n",
              "1                 web         web  \n",
              "2              webarc  webarchive  "
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# classificazione spacy versione ottimizzata con pipe\n",
        "print('Elaborazione dei testi con SpaCy avviata')\n",
        "# Elaborazione dei testi in batch utilizzando il metodo pipe di Spacy, che è più efficiente rispetto all'elaborazione dei testi uno alla volta\n",
        "# batch_size può essere regolato in base alla quantità di memoria disponibile\n",
        "spacy_analysis = list(nlp.pipe(raw_df['query'], batch_size=1000))\n",
        "\n",
        "# Con questa modifica, la colonna spacy_nouns conterrà tutti i sostantivi presenti nella query, separati da uno spazio. \n",
        "# Se non ci sono sostantivi in una particolare query, il valore sarà 'other'.\n",
        "# Estrai tutti i sostantivi\n",
        "def extract_nouns(doc):\n",
        "    return ' '.join([token.text for token in doc if token.pos_ == 'NOUN'])\n",
        "# Applica la funzione per estrarre sostantivi a ogni documento\n",
        "print('Estrazione sostantivi')\n",
        "raw_df['spacy_nouns'] = [extract_nouns(doc) if any(token.pos_ == 'NOUN' for token in doc) else 'other' for doc in spacy_analysis]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_df['clicks'].sum()\n",
        "total_impressions = raw_df['impressions'].sum()\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "print('classificazione Spacy terminata')\n",
        "raw_df.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con trending topic\n",
            "Calcolo del CTR direttamente sul pivot table\n",
            "Somma totale dei clicks: 1431\n",
            "Somma totale delle impressions: 222303\n",
            "Rows: 334\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>query</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trending Topics</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>other</th>\n",
              "      <td>568</td>\n",
              "      <td>39397</td>\n",
              "      <td>0.014417</td>\n",
              "      <td>28</td>\n",
              "      <td>4291</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>proxy</th>\n",
              "      <td>4</td>\n",
              "      <td>11174</td>\n",
              "      <td>0.000358</td>\n",
              "      <td>8</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>web</th>\n",
              "      <td>27</td>\n",
              "      <td>7282</td>\n",
              "      <td>0.003708</td>\n",
              "      <td>5</td>\n",
              "      <td>150</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 clicks  impressions       ctr  weighted avg position  query\n",
              "Trending Topics                                                             \n",
              "other               568        39397  0.014417                     28   4291\n",
              "proxy                 4        11174  0.000358                      8     95\n",
              "web                  27         7282  0.003708                      5    150"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#pvt spacy - trending topic table\n",
        "print('Creazione tabella pivot con trending topic')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "pvt_spacy = raw_df.pivot_table(\n",
        "    index='spacy_nouns', \n",
        "    values=['clicks', 'impressions', 'weighted avg position', 'query'], \n",
        "    aggfunc={\n",
        "        'clicks': 'sum',\n",
        "        'impressions': 'sum',\n",
        "        'weighted avg position': lambda x: weighted_mean(x, raw_df.loc[x.index, 'impressions']),\n",
        "        'query': 'count'  # Conteggio delle query\n",
        "    }\n",
        ")\n",
        "print('Calcolo del CTR direttamente sul pivot table')\n",
        "# Calcolo del CTR direttamente sul pivot table\n",
        "pvt_spacy['ctr'] = (pvt_spacy['clicks'] / pvt_spacy['impressions']) * 100\n",
        "\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "pvt_spacy.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "pvt_spacy = pvt_spacy.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position','query'])\n",
        "\n",
        "# Applica la formattazione alla colonna CTR\n",
        "pvt_spacy['ctr'] = pvt_spacy['ctr'].apply(format_ctr)\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "pvt_spacy['weighted avg position'] = pvt_spacy['weighted avg position'].astype(int)\n",
        "\n",
        "# Rinomina la colonna 'spacy_noun' in 'Trending Topics'\n",
        "pvt_spacy.index = pvt_spacy.index.rename(\"Trending Topics\")\n",
        "\n",
        "# cancella i topic con meno di 2 query\n",
        "pvt_spacy = pvt_spacy[pvt_spacy['query'] >= 2]\n",
        "# cancella i topic con meno di 100 impressions\n",
        "pvt_spacy = pvt_spacy[pvt_spacy['impressions'] >= 100]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = pvt_spacy['clicks'].sum()\n",
        "total_impressions = pvt_spacy['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(pvt_spacy.shape[0]))\n",
        "pvt_spacy.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con trending stemming\n",
            "Somma totale dei clicks: 1882\n",
            "Somma totale delle impressions: 267648\n",
            "Rows: 181\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>query</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trending Stemming</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>seo</th>\n",
              "      <td>24</td>\n",
              "      <td>39325</td>\n",
              "      <td>0.000610</td>\n",
              "      <td>51</td>\n",
              "      <td>1474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>googl</th>\n",
              "      <td>57</td>\n",
              "      <td>38258</td>\n",
              "      <td>0.001490</td>\n",
              "      <td>43</td>\n",
              "      <td>2979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>web</th>\n",
              "      <td>61</td>\n",
              "      <td>24417</td>\n",
              "      <td>0.002498</td>\n",
              "      <td>34</td>\n",
              "      <td>767</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   clicks  impressions       ctr  weighted avg position  query\n",
              "Trending Stemming                                                             \n",
              "seo                    24        39325  0.000610                     51   1474\n",
              "googl                  57        38258  0.001490                     43   2979\n",
              "web                    61        24417  0.002498                     34    767"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#pvt spacy trending stemming\n",
        "print('Creazione tabella pivot con trending stemming')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "pvt_stem = raw_df.pivot_table(\n",
        "    index='Strongest word stem', \n",
        "    values=['clicks', 'impressions', 'weighted avg position', 'query'], \n",
        "    aggfunc={\n",
        "        'clicks': 'sum',\n",
        "        'impressions': 'sum',\n",
        "        'weighted avg position': lambda x: weighted_mean(x, raw_df.loc[x.index, 'impressions']),\n",
        "        'query': 'count'  # Conteggio delle query\n",
        "    }\n",
        ")\n",
        "\n",
        "# Calcolo del CTR direttamente sul pivot table\n",
        "pvt_stem['ctr'] = (pvt_stem['clicks'] / pvt_stem['impressions']) * 100\n",
        "\n",
        "\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "pvt_stem.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "pvt_stem = pvt_stem.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position', 'query'])\n",
        "\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "pvt_stem['weighted avg position'] = pvt_stem['weighted avg position'].astype(int)\n",
        "# Applica la formattazione alla colonna CTR\n",
        "pvt_stem['ctr'] = pvt_stem['ctr'].apply(format_ctr)\n",
        "\n",
        "\n",
        "# Rinomina la colonna 'Strongest word stem' in 'Trending Stemming'\n",
        "pvt_stem.index = pvt_stem.index.rename(\"Trending Stemming\")\n",
        "\n",
        "# Filtra gli stemmi con meno di 2 query e meno di 100 impressions\n",
        "pvt_stem = pvt_stem[pvt_stem['query'] >= 2]\n",
        "pvt_stem = pvt_stem[pvt_stem['impressions'] >= 100]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = pvt_stem['clicks'].sum()\n",
        "total_impressions = pvt_stem['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(pvt_stem.shape[0]))\n",
        "pvt_stem.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [],
      "source": [
        "# calcolo brand per rimozione query brand e calcolo CTR medio del sito web"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Rows: 2\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>counts</th>\n",
              "      <th>Count %</th>\n",
              "      <th>Total Clicks</th>\n",
              "      <th>Clicks %</th>\n",
              "      <th>Total Impressions</th>\n",
              "      <th>Imp %</th>\n",
              "      <th>ctr</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cats</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Non-branded</th>\n",
              "      <td>19046</td>\n",
              "      <td>99.97%</td>\n",
              "      <td>2082</td>\n",
              "      <td>98.58%</td>\n",
              "      <td>273993</td>\n",
              "      <td>99.86%</td>\n",
              "      <td>75.99%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brand</th>\n",
              "      <td>5</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>30</td>\n",
              "      <td>1.42%</td>\n",
              "      <td>375</td>\n",
              "      <td>0.14%</td>\n",
              "      <td>800.00%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             counts  Count %  Total Clicks  Clicks %  Total Impressions   \n",
              "cats                                                                      \n",
              "Non-branded   19046   99.97%          2082    98.58%             273993  \\\n",
              "Brand             5    0.03%            30     1.42%                375   \n",
              "\n",
              "             Imp %     ctr  \n",
              "cats                        \n",
              "Non-branded 99.86%  75.99%  \n",
              "Brand        0.14% 800.00%  "
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# inizio analisi BRAND\n",
        "# Rimuove i duplicati basati sulla colonna 'query'\n",
        "raw_df_unique = raw_df.copy().drop_duplicates(subset=['query'])\n",
        "\n",
        "# Aggiunge una colonna 'Brand/Non-branded' che indica se la query contiene il termine del brand\n",
        "raw_df_unique['Brand/Non-branded'] = np.where(\n",
        "   raw_df_unique['query'].str.contains(query_brand, regex=True, case=False), 'Brand', 'Non-branded'\n",
        ")\n",
        "# Aggiunge una colonna 'Brand/Non-branded' che indica se la query contiene il termine del brand\n",
        "# anche alla lista con i duplicati che servirà per la cannibalizzazione\n",
        "raw_df['Brand/Non-branded'] = np.where(\n",
        "   raw_df['query'].str.contains(query_brand, regex=True, case=False), 'Brand', 'Non-branded'\n",
        ")\n",
        "# Calcola il conteggio dei valori nella colonna 'Brand/Non-branded'\n",
        "brand_count_df = raw_df_unique['Brand/Non-branded'].value_counts().rename_axis('cats').to_frame('counts')\n",
        "# Calcola la percentuale del conteggio rispetto al totale\n",
        "brand_count_df['Count %'] = brand_count_df['counts']/sum(brand_count_df['counts'])\n",
        "pd.options.display.float_format = '{:.2%}'.format\n",
        "# Calcola la somma dei click e delle impressioni per ciascuna categoria\n",
        "clicks_by_category = raw_df_unique.groupby('Brand/Non-branded')['clicks'].sum()\n",
        "# Calcola la somma delle impressioni per ciascuna categoria\n",
        "impressions_by_category = raw_df_unique.groupby('Brand/Non-branded')['impressions'].sum()\n",
        "# Aggiungi le colonne 'Total Clicks' e 'Total Impressions' al dataframe brand_count_df\n",
        "brand_count_df['Total Clicks'] = clicks_by_category\n",
        "brand_count_df['Clicks %'] = brand_count_df['Total Clicks']/sum(brand_count_df['Total Clicks'])\n",
        "brand_count_df['Total Impressions'] = impressions_by_category\n",
        "brand_count_df['Imp %'] = brand_count_df['Total Impressions']/sum(brand_count_df['Total Impressions'])\n",
        "\n",
        "\n",
        "# Calcola il CTR e aggiungi come colonna al dataframe\n",
        "brand_count_df['ctr'] = (brand_count_df['Total Clicks'] / brand_count_df['Total Impressions']) * 100\n",
        "\n",
        "print(\"Rows: \" + str(brand_count_df.shape[0]))\n",
        "brand_count_df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Scegli uno degli stili stampati e sostituiscilo in plt.style.use()\n",
        "# #print(plt.style.available)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax1 = plt.subplots(figsize=(10, 6))  # Aumenta la dimensione per una migliore leggibilità\n",
        "\n",
        "# Imposta lo stile del grafico\n",
        "#plt.style.use('seaborn-v0_8-poster')\n",
        "\n",
        "# Crea le posizioni delle barre\n",
        "bar_width = 0.35\n",
        "x_pos_counts = np.arange(len(brand_count_df.index))\n",
        "x_pos_clicks = x_pos_counts + bar_width\n",
        "\n",
        "# Crea l'asse Y1 per il numero di query (counts)\n",
        "ax1.bar(x_pos_counts, brand_count_df['counts'], label='Counts', alpha=0.8, color='#1f77b4', width=bar_width)\n",
        "ax1.set_xlabel('Category', fontsize=12)\n",
        "ax1.set_ylabel('Counts', fontsize=12, color='#1f77b4')\n",
        "ax1.tick_params(axis='y', labelcolor='#1f77b4')\n",
        "ax1.set_xticks(x_pos_counts)\n",
        "ax1.set_xticklabels(brand_count_df.index, fontsize=10)\n",
        "\n",
        "# Crea un secondo asse Y per i click\n",
        "ax2 = ax1.twinx()\n",
        "ax2.bar(x_pos_clicks, brand_count_df['Total Clicks'], label='Total Clicks', alpha=0.8, color='#ff7f0e', width=bar_width)\n",
        "ax2.set_ylabel('Clicks', fontsize=12, color='#ff7f0e')\n",
        "ax2.tick_params(axis='y', labelcolor='#ff7f0e')\n",
        "\n",
        "# Aggiungi le etichette dei valori\n",
        "for i, val in enumerate(brand_count_df['counts']):\n",
        "    ax1.annotate(f'{val:.0f}', (x_pos_counts[i], val), ha='center', va='bottom', fontsize=10)\n",
        "\n",
        "for i, val in enumerate(brand_count_df['Total Clicks']):\n",
        "    ax2.annotate(f'{val:.0f}', (x_pos_clicks[i], val), ha='center', va='bottom', fontsize=10)\n",
        "\n",
        "# Aggiungi la legenda\n",
        "fig.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05), ncol=2, fontsize=10)\n",
        "\n",
        "# Titolo del grafico\n",
        "plt.title('Comparison of Clicks and Counts for Brand and Non-branded Queries', fontsize=14)\n",
        "\n",
        "# Salva il grafico con risoluzione più alta\n",
        "plt.savefig(f'{new_output_dir}/{file_name}_clicks_and_count_brand_not_branded.png', bbox_inches='tight', dpi=300)\n",
        "\n",
        "plt.show()\n",
        "plt.close(fig)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "La categoria 'Brand' ha 1 righe.\n"
          ]
        }
      ],
      "source": [
        "# brand pie\n",
        "###############################################################\n",
        "\n",
        "# Metodo 2: Conteggio delle righe per la categoria \"Brand\"\n",
        "brand_row_count = (brand_count_df.index == 'Brand').sum()\n",
        "if brand_row_count == 0:\n",
        "    print(\"La categoria 'Brand' ha zero righe.\")\n",
        "else:\n",
        "    print(f\"La categoria 'Brand' ha {brand_row_count} righe.\")\n",
        "    def create_pie_chart(data, labels, title, ax):\n",
        "        explode = (0.1, 0)  # esplode la prima fetta\n",
        "        #colors = ['orange', 'purple']  # usa colori personalizzati\n",
        "        colors = ['#ff7f0e','#1f77b4']  # usa colori personalizzati\n",
        "        ax.pie(data, explode=explode, labels=labels, autopct='%1.2f%%', shadow=True, colors=colors, startangle=140)\n",
        "        ax.axis('equal')\n",
        "        ax.set_title(title)\n",
        "\n",
        "        fig, (axa, axb) = plt.subplots(1, 2, figsize=(12, 6))\n",
        "\n",
        "        create_pie_chart(brand_count_df['counts'], brand_count_df.index, 'Counts for Brand and Non-Brand Queries', axa)\n",
        "        create_pie_chart(brand_count_df['Total Clicks'], brand_count_df.index, 'Clicks for Brand and Non-Brand Queries', axb)\n",
        "\n",
        "        # Aggiungi la firma\n",
        "        axa.text(0.05, 0.05, 'by evemilano.com', transform=axa.transAxes, fontsize=10,\n",
        "                verticalalignment='bottom', horizontalalignment='right', color='grey', alpha=0.5)\n",
        "\n",
        "        # Mostra i grafici\n",
        "        plt.tight_layout()\n",
        "        #plt.savefig(f'{output_dir}/GSC_EXT_{property_name}_{now_str}_pie_graph.png')\n",
        "        plt.savefig(f'{new_output_dir}/{file_name}_pie_graph.png')\n",
        "        plt.show()\n",
        "        plt.close(fig)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {},
      "outputs": [],
      "source": [
        "# creazione database sole query BRAND e NO BRAND\n",
        "#####################################\n",
        "if brand_row_count == 0:\n",
        "    print(\"La categoria 'Brand' ha zero righe.\")\n",
        "\n",
        "\n",
        "    #df_nobrand = raw_df.loc[raw_df['Brand/Non-branded'] == 'Non-branded']\n",
        "    df_nobrand = raw_df.loc[raw_df['Brand/Non-branded'] == 'Non-branded'].copy()\n",
        "    # Compila i valori vuoti\n",
        "    df_nobrand.fillna(0, inplace = True)\n",
        "    # Arrotonda i valori di posizione\n",
        "    #df_nobrand['position'] = df_nobrand['position'].round().astype(int)\n",
        "    df_nobrand.loc[:, 'weighted avg position'] = df_nobrand['weighted avg position'].round().astype(int)\n",
        "    # Crea un dataframe per le query brand\n",
        "    df_brand = raw_df.loc[raw_df['Brand/Non-branded'] == 'Brand']\n",
        "\n",
        "\n",
        "    # Stampa la somma totale dei clicks e delle impressions\n",
        "    total_clicks = df_brand['clicks'].sum()\n",
        "    total_impressions = df_brand['impressions'].sum()\n",
        "\n",
        "    print(\"Somma totale dei clicks:\", total_clicks)\n",
        "    print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    print(\"Rows: \" + str(df_brand.shape[0]))\n",
        "    df_brand.head(12)\n",
        "else: \n",
        "    df_nobrand = raw_df.copy()\n",
        "    df_brand = pd.DataFrame()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {},
      "outputs": [],
      "source": [
        "# vecchio metodo per il database delle query brand\n",
        "# somma tutte le impression di query * URL (conta impressione e click anche dei sitelink)\n",
        "# script bloccato da if False:\n",
        "if False:\n",
        "    # crea pivot brand (!)\n",
        "    # Crea una copia del dataframe df_brand\n",
        "    df_brand_pivot = df_brand.copy()\n",
        "    # Elimina la colonna \"page\"\n",
        "    df_brand_pivot.drop(columns=['page'], inplace=True)\n",
        "    # Crea la pivot table\n",
        "\n",
        "\n",
        "    # Creazione della tabella pivot\n",
        "    pivot_b = df_brand_pivot.pivot_table(\n",
        "        index='query', \n",
        "        values=['clicks', 'impressions', 'weighted avg position'], \n",
        "        aggfunc={\n",
        "            'clicks': 'sum',\n",
        "            'impressions': 'sum',\n",
        "            'weighted avg position': lambda x: weighted_mean(x, df_brand_pivot.loc[x.index, 'impressions']),\n",
        "        }\n",
        "    )\n",
        "\n",
        "    # Calcolo del CTR\n",
        "    pivot_b['ctr'] = (pivot_b['clicks'] / pivot_b['impressions']) \n",
        "\n",
        "    # Riordina le colonne\n",
        "    sorted_pivot = pivot_b.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "    # Ordina la pivot table per 'impressions' in ordine decrescente\n",
        "    sorted_pivot = sorted_pivot.sort_values(by='impressions', ascending=False)\n",
        "    # Arrotonda i valori nella colonna 'position' e li converte in interi\n",
        "    sorted_pivot['weighted avg position'] = sorted_pivot['weighted avg position'].round().astype(int)\n",
        "    # Mostra le prime righe della pivot table\n",
        "    print(\"Rows: \" + str(sorted_pivot.shape[0]))\n",
        "\n",
        "    sorted_pivot.head(5)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "La categoria 'Brand' ha zero righe.\n"
          ]
        }
      ],
      "source": [
        "# pvt brand mantenendo solo la prima query per impression (rimuove i sitelink) come fa google search console\n",
        "\n",
        "if brand_row_count == 1:\n",
        "    print(\"La categoria 'Brand' ha zero righe.\")\n",
        "else:\n",
        "    # Ordina il DataFrame per 'query' e 'impressions' in ordine decrescente\n",
        "    df_brand_sorted = df_brand.sort_values(by=['query', 'impressions'], ascending=[True, False])\n",
        "\n",
        "    # Rimuovi i duplicati, mantenendo solo la prima occorrenza (quella con il massimo di 'impressions')\n",
        "    df_brand_unique = df_brand_sorted.drop_duplicates(subset='query')\n",
        "\n",
        "    # Crea la pivot table\n",
        "    pivot_b = df_brand_unique.pivot_table(\n",
        "        index='query', \n",
        "        values=['clicks', 'impressions', 'weighted avg position'], \n",
        "        aggfunc={\n",
        "            'clicks': 'sum',\n",
        "            'impressions': 'sum',\n",
        "            'weighted avg position': lambda x: weighted_mean(x, df_brand_unique.loc[x.index, 'impressions']),\n",
        "        }\n",
        "    )\n",
        "\n",
        "    # Calcolo del CTR\n",
        "    #pivot_b['ctr'] = (pivot_b['clicks'] / pivot_b['impressions']) * 100\n",
        "    pivot_b['ctr'] = (pivot_b['clicks'] / pivot_b['impressions']) \n",
        "\n",
        "    # Riordina le colonne\n",
        "    sorted_pivot = pivot_b.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "\n",
        "    # Ordina la pivot table per 'impressions' in ordine decrescente\n",
        "    sorted_pivot = sorted_pivot.sort_values(by='impressions', ascending=False)\n",
        "\n",
        "    # Arrotonda i valori nella colonna 'weighted avg position' e li converte in interi\n",
        "    sorted_pivot['weighted avg position'] = sorted_pivot['weighted avg position'].round().astype(int)\n",
        "\n",
        "\n",
        "\n",
        "    # Stampa la somma totale dei clicks e delle impressions\n",
        "    total_clicks = sorted_pivot['clicks'].sum()\n",
        "    total_impressions = sorted_pivot['impressions'].sum()\n",
        "\n",
        "    print(\"Somma totale dei clicks:\", total_clicks)\n",
        "    print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "\n",
        "    print(\"Rows: \" + str(sorted_pivot.shape[0]))\n",
        "\n",
        "    # Mostra le prime righe della pivot table\n",
        "    # EXPORT PVT BRAND\n",
        "    sorted_pivot.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot base URL\n",
            "Somma totale dei clicks: 2125\n",
            "Somma totale delle impressions: 321128\n",
            "Rows: 831\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>page</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/web-archive/</th>\n",
              "      <td>49</td>\n",
              "      <td>14366</td>\n",
              "      <td>0.34%</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/proxy-server/</th>\n",
              "      <td>5</td>\n",
              "      <td>14341</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-web-marketing/</th>\n",
              "      <td>0</td>\n",
              "      <td>8790</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/pubblicita-google/consulenza-adwords/</th>\n",
              "      <td>0</td>\n",
              "      <td>6878</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/come-trovare-indirizzo-ip-sito-web/</th>\n",
              "      <td>105</td>\n",
              "      <td>6654</td>\n",
              "      <td>1.58%</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/gdpr/</th>\n",
              "      <td>2</td>\n",
              "      <td>6582</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-seo/posizionamento-siti/</th>\n",
              "      <td>0</td>\n",
              "      <td>6310</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-seo/</th>\n",
              "      <td>1</td>\n",
              "      <td>6149</td>\n",
              "      <td>0.02%</td>\n",
              "      <td>51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/guide-seo/motori-di-ricerca/</th>\n",
              "      <td>10</td>\n",
              "      <td>6128</td>\n",
              "      <td>0.16%</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-seo/agenzia/</th>\n",
              "      <td>0</td>\n",
              "      <td>4572</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                    clicks  impressions   ctr   \n",
              "page                                                                            \n",
              "https://www.evemilano.com/web-archive/                  49        14366 0.34%  \\\n",
              "https://www.evemilano.com/proxy-server/                  5        14341 0.03%   \n",
              "https://www.evemilano.com/servizi-web-marketing/         0         8790 0.00%   \n",
              "https://www.evemilano.com/pubblicita-google/con...       0         6878 0.00%   \n",
              "https://www.evemilano.com/come-trovare-indirizz...     105         6654 1.58%   \n",
              "https://www.evemilano.com/gdpr/                          2         6582 0.03%   \n",
              "https://www.evemilano.com/servizi-seo/posiziona...       0         6310 0.00%   \n",
              "https://www.evemilano.com/servizi-seo/                   1         6149 0.02%   \n",
              "https://www.evemilano.com/guide-seo/motori-di-r...      10         6128 0.16%   \n",
              "https://www.evemilano.com/servizi-seo/agenzia/           0         4572 0.00%   \n",
              "\n",
              "                                                    weighted avg position  \n",
              "page                                                                       \n",
              "https://www.evemilano.com/web-archive/                                  7  \n",
              "https://www.evemilano.com/proxy-server/                                10  \n",
              "https://www.evemilano.com/servizi-web-marketing/                       41  \n",
              "https://www.evemilano.com/pubblicita-google/con...                     36  \n",
              "https://www.evemilano.com/come-trovare-indirizz...                     17  \n",
              "https://www.evemilano.com/gdpr/                                        11  \n",
              "https://www.evemilano.com/servizi-seo/posiziona...                     51  \n",
              "https://www.evemilano.com/servizi-seo/                                 51  \n",
              "https://www.evemilano.com/guide-seo/motori-di-r...                     28  \n",
              "https://www.evemilano.com/servizi-seo/agenzia/                         71  "
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Tabella Raw URL con pivot\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "print('Creazione tabella pivot base URL')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "final_pivot_tableP = final_data.pivot_table(index=['page'], values=['clicks', 'impressions', 'position'], \n",
        "                                            aggfunc={\n",
        "                                                'clicks': 'sum', \n",
        "                                                'impressions': 'sum', \n",
        "                                                'position': lambda x: weighted_mean(x, final_data.loc[x.index, 'impressions'])\n",
        "                                            })\n",
        "# Calcolo del CTR\n",
        "final_pivot_tableP['ctr'] = (final_pivot_tableP['clicks'] / final_pivot_tableP['impressions']) \n",
        "\n",
        "\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "final_pivot_tableP.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "final_pivot_tableP = final_pivot_tableP.rename(columns={'position': 'weighted avg position'})\n",
        "final_pivot_tableP = final_pivot_tableP.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "final_pivot_tableP['weighted avg position'] = final_pivot_tableP['weighted avg position'].astype(int)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_pivot_tableP['clicks'].sum()\n",
        "total_impressions = final_pivot_tableP['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "print(\"Rows: \" + str(final_pivot_tableP.shape[0]))\n",
        "final_pivot_tableP.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot base QUERY\n",
            "Calcolo del CTR\n",
            "Somma totale dei clicks: 2125\n",
            "Somma totale delle impressions: 321128\n",
            "Rows: 19051\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>query</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>proxy</th>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>web archive</th>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>webarchive</th>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             clicks  impressions   ctr  weighted avg position\n",
              "query                                                        \n",
              "proxy             1         6930 0.01%                      9\n",
              "web archive      23         6059 0.38%                      5\n",
              "webarchive       11         4216 0.26%                      5"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# tabella raw query\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "print('Creazione tabella pivot base QUERY')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "query_pivot_tableP = final_data.pivot_table(index=['query'], values=['clicks', 'impressions',  'position'], \n",
        "                                            aggfunc={\n",
        "                                                'clicks': 'sum', \n",
        "                                                'impressions': 'sum', \n",
        "                                                'position': lambda x: weighted_mean(x, final_data.loc[x.index, 'impressions'])\n",
        "                                            })\n",
        "\n",
        "# Calcolo del CTR\n",
        "print('Calcolo del CTR')\n",
        "query_pivot_tableP['ctr'] = (query_pivot_tableP['clicks'] / query_pivot_tableP['impressions']) * 100\n",
        "\n",
        "# Applica la formattazione alla colonna CTR\n",
        "query_pivot_tableP['ctr'] = query_pivot_tableP['ctr'].apply(format_ctr)\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "query_pivot_tableP['position'] = query_pivot_tableP['position'].astype(int)\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "query_pivot_tableP.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "query_pivot_tableP = query_pivot_tableP.reindex(columns=['clicks', 'impressions', 'ctr', 'position'])\n",
        "\n",
        "# Rinomina la colonna 'ctr' in 'Weighted Average CTR' e 'position' in 'Weighted Average Position'\n",
        "query_pivot_tableP = query_pivot_tableP.rename(columns={'position': 'weighted avg position'})\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = query_pivot_tableP['clicks'].sum()\n",
        "total_impressions = query_pivot_tableP['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(query_pivot_tableP.shape[0]))\n",
        "query_pivot_tableP.head(3)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>position</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>query_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>12.67%</td>\n",
              "      <td>1070</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>8.33%</td>\n",
              "      <td>426</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>5.34%</td>\n",
              "      <td>492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>510</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>1.28%</td>\n",
              "      <td>551</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>0.74%</td>\n",
              "      <td>525</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>0.62%</td>\n",
              "      <td>477</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>473</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>547</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>0.16%</td>\n",
              "      <td>611</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   position  website avg ctr by pos  query_count\n",
              "0         1                  12.67%         1070\n",
              "1         2                   8.33%          426\n",
              "2         3                   5.34%          492\n",
              "3         4                   1.08%          510\n",
              "4         5                   1.28%          551\n",
              "5         6                   0.74%          525\n",
              "6         7                   0.62%          477\n",
              "7         8                   0.22%          473\n",
              "8         9                   0.24%          547\n",
              "9        10                   0.16%          611"
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# CALCOLO TABELLA WEBSITE CTR BY POS per chiavi NOBRAND\n",
        "# Verifica il tipo di dati della colonna 'ctr'\n",
        "if df_nobrand['ctr'].dtype == 'O':  # 'O' sta per 'object', che è tipicamente usato per le stringhe in pandas\n",
        "    # Converti la colonna 'ctr' da percentuale (stringa) a float\n",
        "    df_nobrand['ctr'] = df_nobrand['ctr'].str.rstrip('%').astype('float') / 100\n",
        "\n",
        "# Funzione per calcolare la media ponderata\n",
        "def weighted_mean(values, weights):\n",
        "    return np.sum(values * weights) / np.sum(weights)\n",
        "\n",
        "# Raggruppa per 'Weighted Avg Position' e calcola la media ponderata del CTR\n",
        "query_analysis = df_nobrand.groupby('weighted avg position').apply(\n",
        "    lambda x: weighted_mean(x['ctr'], x['impressions'])\n",
        ").reset_index()\n",
        "\n",
        "# Rinomina le colonne\n",
        "query_analysis = query_analysis.rename(\n",
        "    columns={0: 'website avg ctr by pos', 'weighted avg position': 'position'}\n",
        ")\n",
        "\n",
        "query_analysis['position'] = np.round(query_analysis['position'].astype(float).astype(int))\n",
        "\n",
        "# Conta le query per ciascuna posizione in df_nobrand\n",
        "query_count = df_nobrand.groupby('weighted avg position').size().reset_index(name='query_count')\n",
        "\n",
        "# Converti 'Weighted Avg Position' in valori interi per il merge\n",
        "query_count['weighted avg position'] = np.round(query_count['weighted avg position'].astype(float) ).astype(int)\n",
        "\n",
        "# Aggiungi la colonna query_count a query_analysis\n",
        "query_analysis = query_analysis.merge(query_count, left_on='position', right_on='weighted avg position', how='left')\n",
        "\n",
        "# Rimuovi la colonna aggiuntiva 'Weighted Avg Position' risultante dal merge\n",
        "query_analysis.drop('weighted avg position', axis=1, inplace=True)\n",
        "\n",
        "# Ordina i risultati per 'position'\n",
        "query_analysis.sort_values(by='position', ascending=True, inplace=True)\n",
        "\n",
        "# Visualizza i risultati\n",
        "query_analysis.head(10)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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pDGDMFigSAWRLw4ZJbdpIN29KvXubXwEAAAAAcBWRkZLbf5o5d3cpPt6aPKlBkQggW7LZpNmzpUKFpN27zb/SAAAAAADgKjp2lMaOlX74QTp6VFqyRJoyRerSxepkKaNIBJBtFSlilomS9M470ooVlsYBAAAAAMBhpk2Tunc37wtQoYL0zDPSkCHS669bnSxlFIkAsrV27aT//c9cHjBAOn/e0jgAAAAAADiEr680dap07Jh044b011/SG29Inp5WJ0sZRSKAbG/CBKlyZencOWngQMkwrE4EAAAAAEDOQ5EIINvz9pa++ELy8pKWLZPee8/qRAAAAAAA5DwUiQCcQuXK0sSJ5vKzz5o3YAEAAAAAAFmHIhGA03jiCXPOxKgoqU8fcw4JAAAAAACQNSgSATgNm02aNcu8m/OePdLzz1udCAAAAACAnIMiEYBTKVxYmj3bXJ42zZwzEQAAAAAAZD6KRABOp00bafhwc3ngQPNuzgAAAAAAIHNRJAJwSuPHS1WrSufPSwMGSPHxVicCAAAAAMC1USQCcEre3tL8+ebXFSvMy5wBAAAAAEDmoUgE4LQqVZImTTKXn3tO2rXL2jwAAAAAALgyikQATu3xx6UOHaToaKl3b+nGDasTAQAAAADgmigSATg1m0369FMpMFDau1d69lmrEwEAAAAA4JooEgE4vUKFpDlzzOX335e+/97aPAAAAAAAuCKKRAAuoVUr6cknzeWBA6UzZ6zNAwAAAACAq6FIBOAyxo2TqlWT/v5bGjBAio+3OhEAAAAAAK6DIhGAy/DykubPl7y9pZUrpXfesToRAAAAAACugyIRgEupWFF6+21z+YUXpLAwS+MAAAAAAOAyKBIBuJwhQ6ROnaToaKlPHyky0upEAAAAAAA4P4pEAC7HZpM+/lgKCpL27ZOeecbqRAAAAAAAOD+KRAAuqWBBac4cc3n6dOm776zNAwAAAACAs6NIBOCyWraUnn7aXH7oIen0aWvzAAAAAADgzCgSAbi0sWOl6tWlixel/v2l+HirEwEAAAAA4JwoEgG4NC8v6YsvpNy5pZ9++veOzgAAAAAAIG0oEgG4vPLlpalTzeWRI6UdOyyNAwAAAACAU6JIBJAjPPKI1KWLFBMj9ekjRUZanQgAAAAAAOdCkQggR7DZpI8+koKDpf37paeesjoRAAAAAADOhSIRQI5RoIA0d65ZKs6YIS1ZYnUiAAAAAACcB0UigByleXPpmWfM5Ycflk6dsjYPAAAAAADOgiIRQI7zxhvS3XdLly5J/ftL8fFWJwIAAAAAIPujSASQ43h6SvPnS3nySKtXS5MnW50IAAAAAIDsjyIRQI5Urpz0zjvm8ksvSdu3W5sHAAAAAIDsziFF4tydcxUVG5VkfXRctObunOuIUwCAww0aJHXtKsXESL17S9evW50IAAAAAIDsyyFF4sBvB+pq1NUk669FXdPAbwc64hQA4HA2m/TRR1LRotKff0ojRlidCAAAAACA7MshRaJhGLLJlmT9yfCT8vfyd8QpACBT5M8vffaZWSp+/LG0aJHViQAAAAAAyJ48MvLkGjNqyCabbDabms9tLg+3fw8XZ8TpyOUjalOmTYZDAkBmatZMeu456a23pEcekerWlUJCrE4FAAAAAED2kqEisXO5zpKksLNhal26tXw8fezbPN09VSKghLpV7JahgACQFcaMMe/g/PvvUr9+0qpVkru71akAAAAAAMg+MlQkjm46WpJUIqCEelbuKW8Pb4eEAoCs5ukpzZ8v1aghrV0rTZokPf+81akAAAAAAMg+HDJHYv/q/eXt4a3ouGidDD+p41ePJ3oAgDMIDZXefddcfvllc3QiAAAAAAAwZWhEYoKDFw/qoe8e0q8nfk203jAM2Ww2xY2Kc8RpACDTDRwoLV8uff211KePtH275ONz5+cBAAAAAODqHFIkDvh2gDzcPPR97+8V5BuU7B2cAcAZ2GzSzJnSb79JBw9Kw4dLn3xidSoAAAAAAKznkCIx7GyYtg3epvIFyzvicABgqXz5pM8/N+/m/OmnUtu2UvfuVqcCAAAAAMBaDpkjsWKhivo78m9HHAoAsoUmTaQXXjCXH3lEOnHC2jwAAAAAAFjNIUXiWy3e0nOrntO6o+t0MfKiwqPCEz0AwBm99ppUu7Z05Yr04INSHNO9AgAAAAByMIdc2txibgtJUvO5zROt52YrAJxZrlzS/PlSjRrSzz9LEyZII0danQoAAABAVhuydIjVEVzSjI4zrI6ANHJIkbi2/1pHHAYAsp0yZaRp08y7OY8aJTVvLtWpY3UqAAAAAACynkOKxCYlmjjiMACQLfXvLy1fLn35pdSnj7Rjh+Tra3UqAAAAAACylkOKxPXH1t92e+PijR1xGrtT4af0/E/Pa/mh5YqMiVSZ/GU0q9Ms1QquJcm8pHr0utH6aPtHunLzihoUa6Dp7acrtECo/RiXblzS/5b/T0sPLJWbzU3dKnTTO23fkY+nj0OzAnB+Npv04YfSpk3SX39Jw4ZJs2ZZnQoAAAAAgKzlkCKx6eymSdbZbDb7siPnSLx847IafNpAzUo20/K+y1UoTyEdvHRQ+bzz2feZsHGC3t38ruZ0nqOS+UrqlbWvqPXnrbV36F55e3hLkvou7qsz185o1YOrFBMfo4HfDtTgpYM1v9t8h2UF4Dry5ZM+/1xq1kyaPVtq21bq0cPqVAAAAAAA3FlUlOTllfHjOKRIvPz85UTfx8THaMeZHXpl7Ssae+9YR5zC7q2Nb6mYfzHN6vTvcKCS+Uralw3D0NTNU/Vy45fVqXwnSdLcznNVZFIRfbP/G/Wq3Ev7LuzTikMrtPWRrfZRjNPaTlO7ee00qdUkBfsGOzQzANfQuLH04ovSG29IgwdL99wj3XWX1akAAAAAAEhs+XJpwQJpwwbpxAkpPl7Km9e8mWirVuZ9AILTUX+5OSKcv7d/okfBPAXVsnRLvdXiLT3303OOOIXddwe+U62gWrr/q/tVeGJh1ZhRQx9t+8i+/ciVIzobcVYtSrVIlK9uSF1tOrFJkrTp5CYFeAfYS0RJalGqhdxsbtp8cnOK546KilJ4eLj9ce3aNYe+NgDZ36hRUt260tWr0gMPSHHclB4AAAAAkE0sWSKVLSs99JDk4SE9/7y0eLH044/Sxx9LTZpIP/0klSolPfqodOFC2o7vkCIxJUV8iujA3wcceszDlw9r+u/TFZo/VD8+8KMeq/WYhq0YpjlhcyRJZyPOmufOWyRxlrxFdPb6Wfs+hfMWTrTdw81D+XPntz8/OePGjZO/v7/9UbFiRUe+NABOIFcuad48ycfH/MvO+PFWJwIAAAAAwDRhgvT229KpU9Inn0hDhkgdO0otWpjTc40ZI61da87/HxBgTuGVFg65tHnXuV2JvjcMQ2cizmj8L+NVPbC6I05hF2/Eq1ZwLb3Z/E1JUo2gGtpzfo8+3Pah+lfv79Bz/dfIkSP11FNP2b8/deoUZSKQA5UuLb3/vnk359GjpebNzcucAQAAAACw0qZNqduvaNH0DYxxSJFY/cPqstlsMgwj0fp7Qu7Rp50+dcQp7IJ8g1SxUOLyrkLBClq0b5EkKdAnUJJ07vo5BfkG2fc5d/2cqhepbt/n/PXziY4RGx+rSzcu2Z+fHC8vL3ndMjNleHh4hl4LAOf14IP/zjnRt6+0Y4fk52d1KgAAAAAAknf9ujk9V0Y+uzqkSDwy/Eii791sbiqUt5D9DsmO1KBYAx24mPhy6T8v/qni/sUlSSUDSirQJ1CrD6+2j4YMjwrX5pOb9VitxyRJ9ULq6crNK9p2eptqBteUJK05skbxRrzqhtR1eGYArsdmk6ZPN//ac/iw9L//SXPmWJ0KAAAAAIDE9u6V+vWTtm83P8tWrCjNmiXVqnXn5/6XQ+ZILB5QPNGjmH+xTCkRJenJe57Ubyd/05sb3tShS4c0f/d8zdw+U0NrD5Uk2Ww2jag7Qm9seEPfHfhOu8/tVr8l/RTsG6zO5TtLkioUqqA2ZdrokaWPaMupLdp4fKOeWPaEelXuxR2bAaRawnwSbm7S3Lnm6EQAAAAAALKTIUOkJ56QIiKkixelrl3NqbrSw2E3W/n56M/q+EVHlXm3jMq8W0b3fXGfNhzb4KjD29UuWltLei7RF3u+UOUPKuv19a9rauup6lu1r32f5xo8p//V+Z8GLx2s2h/VVkR0hFY8sCJRuTmv6zyVL1hezec2V7v57dTwroaa2XGmw/MCcG0NG0ovv2wuP/qodOyYtXkAAAAAADlbp07mzVYSXLgg3XeflCePOSCmXTvp3Ln0HdshlzZ/vutzDfx2oLpW6KphdYdJkjae2Kjmc5trdufZ6lOljyNOY9ehbAd1KNshxe02m01jmo3RmGZjUtwnf+78mt9tvkNzAciZXnlFWrXKvMz5gQfMO2B5OORfVwAAAAAA0uaBB6R775WGDjWn4XriCalSJalJEykmRlqzRnr66fQd2yEjEsduGKsJLSZoYfeFGlZ3mIbVHaaF3RdqfIvxen396444BQBkWx4e0rx5kq+v9Msv0rhxVicCAAAAAORU998vbdlizo14zz1SgwbSypXm10aNzOWEK+vSyiFF4uHLh9WxXMck6+8rd5+OXD6SzDMAwLWULCl98IG5/Npr5uhEAAAAAACs4O8vffihNHmyOR/i7NnSoEHSiBFS7drpP65DisRifsW0+vDqJOt/OvyTivkXc8QpACDbe+ABqU8fKS5O6ttXCg+3OhEAAAAAICe6dEnatk2qUsX86ucn1aghLVuWseM6ZBavp+s9rWErhinsbJjqF6svyZwjcXbYbL3T5h1HnAIAnMIHH0i//iodOWLOR/HZZ1YnAgAAAADkJPPnSw8/bJaHN29Kc+dKo0dLPXuaNwmdPVuaNk0qUiTtx3bIiMTHaj+mBd0WaPf53Rrx4wiN+HGE9pzfo4XdF2pIrSGOOAUAOAV/f3O+RDc36fPPzX/AAQAAAADIKiNHSp9+Kp09K61ebd4gVJLKl5fWrZNatpTq1UvfsR12X9EuFbqoS4UujjocADit+vWlUaOkV1+VHnvM/Ae6ZEmrUwEAAAAAcoKICKlcOXO5dGkpMjLx9kcekTp1St+xMzQi8fKNy5q2eZrCo5JOBHb15tUUtwGAq3vpJfOOWOHh5tyJsbFWJwIAAAAA5AT9+0vt25tz+NepIz34YNJ9ChdO37EzVCS+t+U9rT++Xn5efkm2+Xv7a8PxDZq2eVpGTgEATsnDw7y02c/PnDPxjTesTgQAAAAAyAmmTJFmzDBvrvLee+YVc46SoSJx0b5FerTmoyluH1JziL7e93VGTgEATqtECWn6dHP59deljRstjQMAAAAAyCE6dpSefVZq1cqxx81QkfjX5b8UWiA0xe2hBUL116W/MnIKAHBqffqYlzbHx0t9+0pXr1qdCAAAAADgqhYsSP2+J06kfcBLhopEd5u7Tl87neL209dOy83mkBtDA4DTev9982Yrx45Jjz9udRoAAAAAgKuaPl2qUEGaMEHaty/p9qtXpWXLzEEvd98tXbyYtuNnqOWrEVRD3+z/JsXtS/YtUY2gGhk5BQA4PT8/af58yd3d/Pr551YnAgAAAAC4op9/lt56S1q1Sqpc2fw8GhoqVakihYRIBQpIDz0k3XWXtGePdN99aTu+R0bCPVH7CfVa1EshfiF6rNZjcndzlyTFxcfpg60f6O3f3tb8bvMzcgoAcAn33CONHm1Ocvv441L9+lKpUlanAgAAAAC4mvvuMx9//y398ot5ddyNG1LBguYNWGrUkNzSObQwQ0Vit4rd9NyZ5zRs+TC9tOYllcpnfio+fPmwIqIj9Gz9Z9W9YveMnAIAXMaLL0orV5r/kPftK61fL+XKZXUqAAAAAIArKlhQ6tzZscfM8ASGY5uP1W8P/6YB1QYo2DdYQT5BGlh9oDYN2qTxLcY7IiMAuAR3d/OyZn9/6bffzDs5AwAAAADgLDI0IjFBnaJ1VKdoHUccCgBcWvHi0ocfSr17S2PHSi1bSo0aWZ0KAAAAAIA745bKAJDFevWS+veX4uOlBx6QrlyxOhEAAAAAAHdGkQgAFpg2TSpdWjp+XHrsMckwrE4EAAAAAMDtUSQCgAV8faV588x5ExcskD77zOpEAAAAAICc4vff0/c8ikQAsEjdutJrr5nLQ4dKf/1lbR4AAAAAgOuIiJBu3Ei8LixM6tjR/DyaHg4pEkevHa1jV4454lAAkKO88ILUuLH5D3yfPlJMjNWJAAAAAADO7MQJqV49yd/ffDz1lBQZKfXrZxaIefNKv/6avmM7pEj89sC3Kv1uaTWf21zzd89XVGyUIw4LAC7P3d28rDkgQNqy5d8RigAAAAAApMezz0o3b0rvvCM1bGh+bdJE8vMzr4RbsMDiEYlhj4Zp6yNbValQJQ1fMVyBkwP12PePaeuprY44PAC4tLvukmbMMJfffFNav97aPAAAAAAA57V+vTR9uvTEE2ZpaBhS377Se+9JISEZO7aHYyJKNYJqqEZQDU1uNVlL/1yqWWGz1ODTBipfsLwG1RikAdUHyN/b31GnAwCX0qOHtGKFNGuW9MAD0s6dUr58VqcCnMeQpUOsjuCSZnScYXUEAAAApNG5c1LJkuZy4cJSnjxS27aOObbDb7ZiyFBMXIyi46JlyFC+3Pn03tb3VOztYlq4Z6GjTwcALuPdd6UyZcz5LB591PyrEQAAAAAAaeXmlnjZ09Mxx3XYiMRtp7dpVtgsfbHnC3m5e6lftX56v937KpO/jCRp2uZpGrZimHpW7umoUwKAS/HxkebPl+rXl7780vyL0YABVqcCAABAZmA0feZgND1gDkopW1ay2czvIyKkGjUSl4uSdOlS2o/tkCKxyvQq2v/3frUq3Uqf3PeJOpbtKHc390T79K7SW8NXDHfE6QDAZdWuLY0ZI734ojmfRYMGUmio1akAAAAAAM5i1qzMO7ZDisQeFXvooRoPqahf0RT3KZinoOJHxzvidADg0p57TvrxR+nnn80JcTdulHLlsjoVAAAAAMAZlCxpXunm4bDrkP+V4TkSY+JiNHvnbIVHhTsiDwDkeO7u0mefmTdb2bpVGj3a6kQAAAAAAGfRrFn6LltOjQwXibncc+lm7E1HZAEA/KNYMWnmTHN5/Hhp3TpL4wAAAAAAnERm3rjTIXdtHlp7qN7a+JZi42MdcTgAgKTu3aVBg8z/CTz4YOb9RQkAAAAA4FoSbrTiaA65Wnrr6a1afXi1Vv61UlWKVFHeXHkTbV/cc7EjTgMAOc7UqdL69dLBg9KQIebdnDPrfwgAAAAAANcwYIDk5XX7fRano65zSJEY4B2gbhW7OeJQAIBb+PhI8+dL9epJX38tffqpOUoRAAAAAICU+PpKuXM7/rgOKRJndcrE+0oDQA5Xq5b0xhvSCy9Iw4ZJjRpJZctanQoAAAAAkFGnTknPPy8tXy5FRkplykizZpmfAzPi3XelwoUdk/FWDpkjUZJi42P10+GfNOP3GboWdU2SdPraaUVERzjqFACQYz37rHnnrchIqU8fKTra6kQAAAAAgIy4fFlq0EDKlcssEvfulSZPlvLly9hxM3M6LIeMSDx25ZjazGuj41ePKyo2Si1Lt5Svl6/e+uUtRcVF6cMOHzriNACQY7m5SXPnStWqSdu2SaNGmXdzBgAAAAA4p7fekooVM0cgJihZMuPHzfZ3bR6+YrhqBdfS5ecvK3eufy/A7lKhi1YfWe2IUwBAjhcSIn38sbk8YYK0dq21eQAAAAAASV27dk3h4eH2R1RUVLL7ffedeQnz/feblyHXqCF99FHGz792rZQ/f8aPkxyHFIkbjm/Qy41elqe7Z6L1JQJK6FT4KUecAgAgqUsX6ZFHzL8wPfigdPGi1YkAAAAAALeqWLGi/P397Y9x48Ylu9/hw9L06VJoqPTjj9Jjj5nz4s+Zk7Hzx8VJVatK4eFJt129KlWqJG3YkL5jO+TS5ngjXnFGXJL1J8NPytfL1xGnAAD84+23pfXrpQMHzFJx0aLMnQMDAAAAAJB6e/fuVdGiRe3fe3l5JbtffLw5IvHNN83va9SQ9uyRPvxQ6t8//ed/5x3zs6KfX9Jt/v7SkCHSlCnmjTzTyiFFYqvSrTT1t6ma2XGmJMkmmyKiIzR63Wi1C23niFMAAP6RN680f750zz3SkiXm5c6PPGJ1KgBIvSFLh1gdwSXN6DjD6ggAAECSr6+v/JJr8f4jKEiqWDHxugoVzMEiGREWdvs59Vu1kiZNSt+xHXJp8+RWk7XxxEZVfL+ibsbeVJ/FfVRiqnlZ81st3nLEKQAAt7j7bmnsWHN5xAhzdCIAAAAAwHk0aJD0s9yff0rFi2fsuOfOmXeCTomHh3ThQvqO7ZARiSF+Idr56E4t2LNAu87tUkR0hAbVGKS+VfomuvkKAMBxnn7anEdj9WqpTx9p0ybJ0/POzwMAAAAAWO/JJ6X69c1Lm3v0kLZskWbONB8ZUbSoeYl0mTLJb9+1yxwNmR4OKRIlycPNQw9UfcBRhwMA3IGbmzR3rjmJ7vbt0ssvm3dzBgAAAABkf7Vrm9NVjRwpjRkjlSwpTZ0q9e2bseO2aye98orUpo3k7Z14240b0ujRUocO6Tu2Q4rEuTvn3nZ7v2r9HHEaAMB/BAdLn3wide4sTZwotW4tNW9udSoAAAAAQGp06JD+Ui8lL78sLV4slS0rPfGEVK6cuX7/fun99827Or/0UvqO7ZAicfiK4Ym+j4mLUWRMpDzdPZUnVx6KRADIRJ06mXfdmjFD6tdP2rlTKljQ6lQAAAAAACsUKSL9+qv02GPmaEfDMNfbbObgk/ffN/dJD4cUiZefv5xk3cGLB/XYD4/p2frPOuIUAIDbmDJF+vln8y9MDz9sDo+32axOBQAAAACwQvHi0rJl0uXL0qFDZpkYGirly5ex4zrkrs3JCS0QqvEtxicZrQgAcLw8eaT58807c337bcYn5wUAAAAAOL98+cy5GOvUyXiJKGVikSiZN2A5fe10Zp4CAPCPGjWkcePM5SeflPbtszYPAAAAAMC1OOTS5u8OfJfoe8MwdCbijN7b8p4a3NXAEacAAKTCk09KP/4orVol9ekj/fab5OVldSrnNGTpEKsjuKQZHWdYHQEAAABAOjmkSOy8oHOi7202mwrlKaR7S96rya0mO+IUAIBUcHOT5syRqlaVwsLMO3FNmmR1KgAAAACAK3BIkRg/Ot4RhwEAOEBQkPTJJ+bdnCdPNu/K1bKl1akAAAAAAM7OoXMk/h35t8Kjwh15SABAOtx3n/TYY+Zyv37ShQvW5gEAAAAAOL8MF4lXbl7R0B+GquCEgioyqYjyvZVPgZMCNfKnkYqMiXRERgBAOkyaJFWoIJ09Kw0aJBmG1YkAAAAAAM4sQ5c2X7pxSfU+qadT4afUt0pfVShUQZK098JeTdsyTasOr9IvD/2iXed26beTv2lY3WEOCQ0AuLM8eaQvvpDq1JGWLpU+/PDfUYoAAAAAAKRVhorEMT+Pkae7p/4a9peK+BRJvK3ZGLX6rJUeXPKgVv61Uu+2eTdDQQEAaVetmvTWW+bdnJ96SmrSRKpY0epUAAAAAABnlKFLm7/Z/40mtZyUpESUpECfQE1oOUGL9i7SU/c8pf7V+2fkVACAdBo2zLzhys2bUp8+UlSU1YkAAAAAAM4oQ0XimYgzqlS4UorbKxeuLDebm0Y3HZ2R0wAAMsDNTZo9WypUSNq5Uxo50upEAAAAAABnlKEisWCegjp65WiK249cPqLCeQtn5BQAAAcIDJQ+/dRcfvttacUKa/MAAAAAAJxPhorE1qVb66U1Lyk6LjrJtqjYKL2y9hW1KdMmI6cAADhIhw7S0KHm8oAB0vnzlsYBAAAAADiZjN1spdkY1ZpZS6HTQjW09lCVL1hehmFo39/79MHWDxQVF6W5XeY6KisAOLUhS4dYHUGxTXMp39KROne8qGp32KXWL78vm83qVBkzo+MMqyMAAAAAQI6QoRGJIX4h2jRokyoWqqiRq0eq84LO6rKwi15a85IqFqqojQ9t1F3+dzkqKwAggzy8YnTv05/IPVeMjm+tqr3LmlodCQAAAADgJDI0IlGSSuYrqeV9l+vyjcs6eOmgJKlM/jLKnzt/hsMBAByvQMlTqjtgkX79qJd+m9VNQVUOKP9dZ6yOBQAAAADI5jI0IvFW+XLnU52idVSnaB1KRADI5ip1WKtiNXcrLtpTayY+rNjoDP9dCQAAAADg4hxWJAIAnIfNJjUZNke5/cN16ViItszpanUkAAAAAEA2R5EIADlUnnzX1GT4HEnSnqXNdXxbJYsTAQAAAACyM4pEAMjB7qq1R5U6rJEk/Tx1gCIu+un07rI69HNtnd5dVvFxTn5LZwAAAACAwzApFgDkcHUHLNLp3eV0+VhRLRw8VnExnvZteQtcUv1HvlTJ+jssTAgAAAAAyA4YkQgAOZyHZ6zKt/hFkpGoRJSk6xfzadX4ITryaw1rwgEAAAAAsg1GJAJADhcfZ9Oub1qmsNUmydCvH/dQ8bphcnM3sjIaAMBiQ5YOsTqCy5rRcYbVEQAASDNGJAJADnd2b6iuX8wvszRMjk3X/86vs3tDszIWAAAAACCboUgEgBwu8pK/Q/cDAAAAALgmLm0GgBwuT/6rDt0PAABYg0vRMweXoQPAvxiRCAA5XGDFg8pb4JKklOY/NJS34CUFVjyYlbEAAAAAANkMRSIA5HBu7obqP/LlP9/9t0w0v6//8JfcaAUAAAAAcjiKRACAStbfoZYvzFDeApf/s8Wmci02qmT9HZbkAgAAAABkH8yRCACQZJaJxeuG6ezeUEVe8tf5g8W157uWOr6timKjcsnDK8bqiAAAAAAACzEiEQBg5+ZuKLjKnyrTZKvq9l8in0IXdeOyv/b92MjqaAAAAAAAi1EkAgCS5Z4rTjXuXy5JClvURrFRuSxOBAAAAACwEkUiACBFZZv/Kp/Cf+vGZX/tXdHY6jgAAAAAAAtRJAIAUnTrqMSdi1ozKhEAAAAAcjCKRADAbZVr/qt8C/+tG1f8tXd5E6vjAAAAAAAsQpEIALgtN4941eixTJI5KjHmpqfFiQAAAAAAVqBIBADcUdl7N8m3yAXduOrHqEQAAAAAyKEoEgEAd5RoVOLiVoxKBAAAAIAciCIRAJAqZZv9Jt/AC7p51U97lzW1Og4AAAAAIItRJAIAUsXNI1533zoq8YaXxYkAAAAAAFmJIhEAkGqhzX6TX+B53Qz31R/LmCsRAAAAAHISikQAQKq5ucfr7p4/SJJ2LWFUIgAAAADkJBSJAIA0KdN0i/yCzpmjEn9oanUcAAAAAEAWoUgEAKSJOSrxn7kSl7RSdCSjEgEAAAAgJ6BIBACkWZkmW+QffE5R13z0xw/NrI4DAAAAAMgCFIkAgDRLNFfiNy0VHeltcSIAAAAAQGajSAQApEvpxlvlX/SsOSrxe0YlAgAAAICro0gEAKQLoxIBAAAAIGehSAQApFvpRv+MSozIqz1L77U6DgAAAAAgE1EkAgDSzc3dUM1e30uSdn3TQtHXGZUIAAAAAK6KIhEAkCGlGv6ugGKnFX2dUYkAAAAA4MooEgEAGeLmbvw7V+K3LRQVkdviRAAAAACAzECRCADIsFINtt0yKrG51XEAAAAAAJmAIhEAkGHmXInmqMTd3zVnVCIAAAAAuCAPqwMASL8hS4dYHcElzeg4w+oITqlUg23avqC9Lp8I1u7vmqtWn++tjgQAAAAAcCBGJAIAHMLmZuju3mZ5uPu7FoqKyGNxIgAAAACAI1EkAgAcplT97cpX/JRiInNr93fMlQgAAAAAroQiEQDgMDY3QzV7JYxKbM6oRAAAAABwIRSJAACHKllvh/IXP6mYyNza9U0Lq+MAAAAAAByEIhEA4FC3zpW4Z+m9unmNUYkAAAAA4AooEgEADlfynjDlL3FCMTdya/e3La2OAwAAAABwAIpEAIDD2dwM1bx1VGJ4XosTAQAAAAAyiiIRAJApStTdqQIlTyjmhrd2fcOoRAAAAABwdhSJAIBMYY5KXCpJ+uOHZoxKBAAAAAAnR5EIAMg0xevuVIGSx81RiUsYlQgAAAAAzowiEQCQaWw2/TtX4g/NdOOqj8WJAAAAAADp5fRF4vhfxsv2mk0jVoywr7sZe1NDfxiqAhMKyOdNH3X7spvORZxL9LzjV4+r/fz2yjM2jwpPLKxnVz6r2PjYLE4PAK6veN2dKlj6mGJvMlciAAAAADgzpy4St57aqhnbZqhqkaqJ1j+54kkt/XOpvrr/K/084GedvnZaXb/sat8eFx+n9vPbKzouWr8O+lVzOs/R7J2zNWrtqKx+CQDg8m4dlfjHD00ZlQgAAAAATsppi8SI6Aj1XdxXH3X8SPm889nXX715VZ/s+ERTWk/RvSXvVc3gmprVaZZ+PfGrfjv5myRp5V8rtffCXn3e5XNVD6yutqFt9Xqz1/X+1vcVHRdt1UsCAJd1V+1dKljGHJW4c3Erq+MAAAAAANLBaYvEocuGqn1oe7Uo1SLR+m1ntikmPibR+vIFy+su/7u06cQmSdKmk5tUpXAVFfEpYt+ndenWCo8K1x/n/0jxnFFRUQoPD7c/rl275uBXBQCuyRyVaN7Bee+yprpxxdfiRAAAAACAtHLKInHBngXafma7xrUYl2Tb2Yiz8nT3VIB3QKL1RfIW0dmIs/Z9bi0RJdm/T9gnOePGjZO/v7/9UbFixQy+EgDIOe6qtVuFQo8oNspLO5cwKhEAAAAAnI3TFYknrp7Q8BXDNa/rPHl7eGfpuUeOHKmrV6/aH3v37s3S8wOAM/vvXImRlxmVCAAAAADOxOmKxG1ntun89fO6e8bd8hjjIY8xHvr52M96d/O78hjjoSJ5iyg6LlpXbl5J9Lxz188p0CdQkhToE5jkLs4J3yfskxwvLy/5+fnZH76+fAgGgLQoVnOPCpU9orhoT+1iVCIAAAAAOBWnKxKbl2yu3Y/tVtijYfZHreBa6lu1r305l1surT682v6cA38f0PGrx1WvWD1JUr2Qetp9frfOXz9v32fV4VXy8/JTxUJcrgwAmeXWuRL/WNZUkZf9LE4EAAAAAEgtD6sDpJWvl68qF66caF3eXHlVIHcB+/pBNQbpqZVPKX/u/PLz8tP/lv9P9ULq6Z6QeyRJrUq3UsVCFfXgkgc1ocUEnY04q5fXvKyhtYfKy8Mry18TAOQkxe7+Q4XLHtb5P0tp5+LWqjfoK6sjAQAAAABSwelGJKbG223eVofQDur2ZTc1nt1YgT6BWtxzsX27u5u7vu/9vdxt7qr3ST09sOQB9avWT2OajbEwNQDkDLfOlbh3eWNGJQIAAACAk3C6EYnJWTdgXaLvvT289X779/V++/dTfE7xgOJa1ndZJicDACQn5O4/VLjcYZ0/UEphi1qr/sOMSgQAAACA7M4lRyQCALI3m02q1ec7SdK+FY0VeYlRiQAAAACQ3VEkAgAsUbT6PhUp/5fioj0VtqiN1XEAAAAAAHdAkQgAsMStd3Det6Kxrl/0tzgRAAAAAOB2KBIBAJYpWn2filQ4pLiYXIxKBAAAAIBsjiIRAGAZc65Ec1Ti/h8b6frFAGsDAQAAAABSRJEIALBUcNX9Cqx40ByV+DWjEgEAAAAgu6JIBABYKtFciT82VMTfAdYGAgAAAAAkiyIRAGC54KoHFFTpT8XH5lLY122tjgMAAAAASAZFIgDAcreOSty/soEiLuSzOBEAAAAA4L8oEgEA2UJw1T8VVPnAP6MSmSsRAAAAALIbikQAQLZRs/f3kqT9qxoyKhEAAAAAshmKRABAthFc5U8FVTmg+FgP7fiKuRIBAAAA5Azjx5tTPo0YYXWS26NIBABkK7X+mSvxwE8NdO18fovTAAAAAEDm2rpVmjFDqlrV6iR3RpEIAMhWgiofVHDV/YxKBAAAAODyIiKkvn2ljz6S8jnB7E4UiQCAbKfmraMSzxWwOA0AAAAApN61a9cUHh5uf0RFRaW479ChUvv2UosWWRgwAygSAQDZTlClQypabZ+MOHdGJQIAAABwKhUrVpS/v7/9MW7cuGT3W7BA2r5dSmFztuRhdQAAAJJTs/dSndpZQQdW11f17svlF3jR6kgAAAAAcEd79+5V0aJF7d97eXkl2efECWn4cGnVKsnbOyvTZQwjEgEA2VJgxb9UtPref0YltrM6DgAAAACkiq+vr/z8/OyP5IrEbduk8+elu++WPDzMx88/S+++ay7HxVkQPBUoEgEA2VbCXIl/rqmn8LMFLU4DAAAAAI7RvLm0e7cUFvbvo1Yt88YrYWGSu7u1+VJCkQgAyLYCKxxWSI0/zFGJXzJXIgAAAADX4OsrVa6c+JE3r1SggLmcXVEkAgCytZq9v5f0z6jEM4xKBAAAAACrUCQCALK1IuX/GZUY767tXzJXIgAAAADXtG6dNHWq1SlujyIRAJDt1erznSTp4Np7dPV0IYvTAAAAAEDORJEIAMj2Cpc7qmI1d8uId9cORiUCAAAAgCUoEgEATiFhrsSD6+oyKhEAAAAALECRCABwCoXLHlWxWuaoxO0L21sdBwAAAAByHIpEAIDTqNl7qSTp0M91deVUYYvTAAAAAEDOQpEIAHAahUOP6a5au2TEuzFXIgAAAABkMYpEAIBTSZgr8dDPdXXlZBGL0wAAAABAzkGRCABwKoVCj+muOjtlxLsxVyIAAAAAZCGKRACA06n1z1yJf22orf37LQ4DAAAAADkERSIAwOkULH1CxeuEyYh30+uvW50GAAAAAHIGikQAgFNKmCvxiy+kffssDgMAAAAAOQBFIgDAKRUsfUIl7tkhw5DGjLE6DQAAAAC4PopEAIDTuruXOSpx4UJp716LwwAAAACAi6NIBAA4rYKlTqpLFzEqEQAAAACyAEUiAMCpjR5tfv3yS+mPP6zNAgAAAACujCIRAODUqlWTunZlVCIAAAAAZDaKRACA00sYlfjVV9KePdZmAQAAAABXRZEIAHB6VatK3buboxJfe83qNAAAAADgmigSAQAuIWFU4tdfS7t3W5sFAAAAAFwRRSIAwCVUrizdf7+5zKhEAAAAAHA8ikQAgMsYPVqy2aRFi6SdO61OAwAAAACuhSIRAOAyKlWSevQwlxmVCAAAAACORZEIAHApo0aZoxKXLJHCwqxOAwAAAACugyIRAOBSKlaUevY0lxmVCAAAAACOQ5EIAHA5CaMSv/lG2rHD6jQAAAAA4BooEgEALqdCBalXL3OZUYkAAAAA4BgUiQAAlzRqlOTmJn37rbR9u9VpAAAAAMD5USQCAFxS+fJS797m8quvWhoFAAAAAFwCRSIAwGW98oo5KnHpUmnbNqvTAAAAAIBzo0gEALiscuWkPn3MZUYlAgAAAEDGUCQCAFxawqjE77+Xtm61Og0AAAAAOC+KRACASytbVnrgAXOZOzgDAAAAwP/bu/fwKOs7//+veyYzSSbnAzkfIQQIBIKASugqVjyguNq6VfenVm21dr/47Vrbfi/ttuq2tVr3V9erXetpW+2utUr3W21LrYqcPCBnAuFgCCaBkBPknEwOk8zM949JJhkCJIGEySTPx3XdFzP33If3nTFVXn1/Pp9zR5AIAJj0fvADyWyW/vpXaft2f1cDAAAAAIGJIBEAMOnNnDnQlchciQAAAABwbggSAQBTQn9X4t/+Jm3b5u9qAAAAACDwECQCAKaEnBzpzjs9r+lKBAAAAIDRI0gEAEwZ/V2J774rffqpv6sBAAAAgMBCkAgAmDJmzJDuusvzmq5EAAAAABgdgkQAwJTyL/8iBQVJ778vbdni72oAAAAAIHAQJAIAppTp0+lKBAAAAIBzQZAIAJhyfvADT1fiunXSJ5/4uxoAAAAACAwEiQCAKScrS7rnHs9ruhIBAAAAYGQIEgEAU9L3v+/pSvzgA+njj/1dDQAAAABMfASJAIApKStL+trXPK8fe8yvpQAAAABAQCBIBABMWd//vmSxSBs2SB9+6O9qAAAAAGBiI0gEAExZmZkDXYnMlQgAAAAAZ0eQCACY0vq7EjdulDZv9nc1AAAAADBxESQCAKa0jAzp3ns9r+lKBAAAAIAzI0gEAEx5jzwiWa3Spk2eDQAAAAAwFEEiAGDKS08f6Ep87DHJ7fZvPQAAAAAwEREkAgCgga7EDz/0zJcIAAAAAPBFkAgAgKS0NOm++zyvH3+crkQAAAAAOBVBIgAAfR55RAoOlj76SKreN9vf5QAAAADAhEKQCABAn9RU6Rvf8Lze+foNdCUCAAAAwCAEiQAADPLww56uxLpDOaraS1ciAAAAAPQjSAQAYJCUFOn++z2vd9GVCAAAAABeBIkAAJzi4Ycls9Whus9yVFU0x9/lAAAAAMCEQJAIAMApkpOlOdd+KEna9Xu6EgEAAABAIkgEAOC0Cr78Xl9X4gwd35Pn73IAAAAAwO8IEgEAOA1bbKvyVvZ1JTJXIgAAAAAQJAIAcCYL+roSTxyeruO75/q7HAAAAADwK4JEAADOwBbTqryVmyVJO5krEQAAAMAUR5AIAMBZ9Hclnjycrcpd8/xdDgAAAAD4DUEiAABnYYtp09zrN0mSdv1+FV2JAAAAAKYsgkQAAIax4EvvKyi4WydLs1W5k65EAAAAAFMTQSIAAMMIjW5T3nWbJEm7mCsRAAAAwBRFkAgAwAgs+PL7Cgrp0skjWTq2Y76/ywEAAACAC44gEQCAEQiNameuRAAAAABTGkEiAAAjtOBLnq7E+s8zdXQ7XYkAAAAAphaCRAAARigk0q5512+UxFyJAAAAAKYegkQAAEZh/pfWyRLapYayDB3dtsDf5QAAAADABUOQCADAKIRE2jXX25XIXIkAAAAApg6CRAAARmn+TetkCe1UQ3mGKrYW+LscAAAAALggCBIBABilkEi75t3g6Urc/cYquV2GnysCAAAAgPFHkAgAwDnIv7G/KzGdrkQAAAAAUwJBIgAA5yAkokPzbtggqW+uRLoSAQAAAExyBIkAAJyj+Td9IIutU41H01ROVyIAAACASY4gEQCAcxQc3qH8v18vSdr1+xvoSgQAAAAwqREkAgBwHvL/fr2sYR1qOpqq8i0L/V0OAAAAAIwbgkQAAM5DcHiH5t3Q15XICs4AAAAAJjGCRAAAzpO3K/FYqsq2XOTvcgAAAABgXBAkAgBwnoLDO71zJe7+/Sq5nHQlAgAAAJh8CBIBABgD+X//gaxhdjVVpqjsk0X+LgcAAAAAxhxBIgAAY8Aa1qX5N34gSdr95vV0JQIAAACYdAgSAQAYI/Nu2CBrmF3NlSkq+3ixv8sBAAAAgDFFkAgAwBixhnVp/k10JQIAAACYnAgSAQAYQ/Nu2KDgcLuajyfTlQgAAABgUiFIBABgDFltXcq/aZ0kadcbrOAMAAAAYPIgSAQAYIzNW7VRwRHtaqlK0ucfXuzvcgAAAABgTBAkAgAwxqy2Ls3v60rcveY6uZz86xYAAABA4AvIv9k8+dGTWvLyEkU8GaGEf0vQTW/cpJL6Ep9junq7tPqvqxX3dJzCfxqum9fcrLr2Op9jjrUc0/WvXy/bEzYl/FuCvvf+99Tr6r2QjwIAmKTmXj/QlXjkwyX+LgcAAADABPPkk9KSJVJEhJSQIN10k1RSMuxpfhWQQeLmo5u1eslqbf36Vq27c516XD26+rWrZXfYvcd8+91v6y+H/6I/fOUP2nz3ZlW3VevLa77s/dzpcur616+Xw+nQlq9v0W9v+q1e3fuqHt34qD8eCQAwyVht3VrwpfclSbvfuJ6uRAAAAAA+Nm+WVq+Wtm6V1q2Tenqkq6+W7Pbhz/WXgPxbzbt3vKu7C+7W3IS5WpC0QK/e+KqOtRzTrppdkqSWrhb9es+v9cw1z+iL2V/UopRFeuXGV7Slcou2Ht8qSXr/8/d18ORBvfal11SQVKCVM1fqx1f8WM/teE4Op8OfjwcAmCTmXr9JIZFtaq1J1JHNzJUIAAAAYMC770p33y3NnSstWCC9+qp07Ji0a5e/KzuzgAwST9XS3SJJig2NlSTtqtmlHlePVkxf4T1mdvxsZURl6NPKTyVJnx7/VPkJ+UoMT/Qec82Ma9Ta3aoDJw6c9j7d3d1qbW31bm1tbeP1SACAScAS2q35/V2JbzJXIgAAADAVtLW1+eRH3d3dIzqvxRNvKTZ2HIs7TwH/NxqX26UH331Qy9KXaV7CPElSbXutrGarokOifY5NDEtUbXut95jBIaIk7/v+Y0715JNPKioqyrvl5eWN8dMAACabuddt9nYllm66xN/lAAAAABhneXl5PvnRk08+Oew5Lpf04IPSsmXSvHnjX+O5CvggcfVfV2v/if164x/eGPd7PfLII2ppafFuBw8eHPd7AgACmyW0Wwu+3N+VeL1cvQH/r14AAAAAZ3Hw4EGf/OiRRx4Z9pzVq6X9+6U3xj/eOi8B/beZB955QGtL12rjXRuVFpnm3Z8UniSH06Hmrmaf4+vsdUoKT/Iec+oqzv3v+485VXBwsCIjI71bRETEGD4NAGCyyrtuk0KiWtVWO02lmy71dzkAAAAAxlFERIRPfhQcHHzW4x94QFq7Vtq4UUpLO+uhfheQQaLb7dYD7zygtz57Sxu+ukHZMdk+ny9KXiSLyaL1Zeu9+0rqS3Ss5ZiWpi+VJC1NW6riE8U6YT/hPWZd2TpFBkcqbxpDlgEAY8cS4hjUlXgdXYkAAAAA5HZ7QsS33pI2bJCys4c/x98C8m8yq99Zrdf2vabXv/y6IoIjVNteq9r2WnX2dEqSokKi9PWFX9dD7z+kjeUbtat6l+750z1amrZUl6Z5OkGunnG18qbl6c637tTe2r1678h7+sGGH2j1ktUKDjp7UgwAwGjlrdys0KhWtdVN0+ENS/1dDgAAAAA/W71aeu016fXXpYgIqbbWs3V2+ruyMwvIIPH5nc+rpbtFy3+7XMk/T/Zubx5403vMv1/771o1c5VuXnOzLnv1MiWFJ+mPt/7R+7nZZNbaf1wrs2HW0l8v1R1v3aGvLviqfnTFj/zwRACAyc4S4tCCm9+TJO1ZQ1ciAAAAMNU9/7xnpebly6Xk5IHtzTeHPdVvgvxdwLlwP+Ye9piQoBA9d/1zeu765854TGZ0pt65/Z2xLA0AgDPKW7lZe/94tdpOxOvwhqWaffUn/i4JAAAAgJ+4h4+3JhzaIQAAuECCgnu8XYm711wnZ4/ZzxUBAAAAwMgRJAIAcAHlXfuhQmNa1N7XlQgAAAAAgYIgEQCACygouEcFN78ryTNXIl2JAAAAAAIFQSIAABfYnGs+ki22We0n41SyvtDf5QAAAADAiBAkAgBwgdGVCAAAACAQESQCAOAHs/u6Eu31sSr5YJm/ywEAAACAYREkAgDgB0HWXhX8Q19X4h9WytkT5OeKAAAAAODsCBIBAPCT2Vd/pLC4JtnrY/XZOroSAQAAAExsBIkAAPjJ4K7EIroSAQAAAExwBIkAAPjRrKs+9nQlNsTos/e/4O9yAAAAAOCMCBIBAPCjIGuvCr7yN0nSnj9cq14HXYkAAAAAJiaCRAAA/Gz2VZ8oLL5RHY10JQIAAACYuAgSAQDwM7OlVwv7uhKL/oeuRAAAAAATE0EiAAATwKwVWwa6Et/7O3+XAwAAAABDECQCADABmC29WnjLO5Kkov97rXq7LX6uCAAAAAB8ESQCADBBzLpyi8KnNaijMVqH6EoEAAAAMMEQJAIAMEGYLc6BuRLpSgQAAAAwwRAkAgAwgeReuUXhCfXqbIrSoXcv83c5AAAAAOBFkAgAwARitjh1kXeuxGvoSgQAAAAwYRAkAgAwweR+8VNFJNSrszlKB/92ub/LAQAAAABJBIkAAEw4piCXdwXnvXQlAgAAAJggCBIBAJiAcr/4qSIST6qzJVIH36ErEQAAAID/ESQCADABDe5KLPrjNerpsvq5IgAAAABTHUEiAAATVO4VWxWRdFJdLZE6+M5yf5cDAAAAYIojSAQAYIIyBbl00a1/lSTt/ePVdCUGOJfTUHVxro5sXqLq4ly5nIa/SwIAAABGJcjfBQAAgDObuXyb9rx5nVprE3Tgr8tVcPP7/i4J56B8y0JtefkW2RtivfvC4hpVeN8aZRfu8WNlAAAAwMjRkQgAwARmMg90Je5762r1dAb7uSKMVvmWhVr31P2yN8T47Lc3xGjdU/erfMtCP1UGAAAAjA5BIgAAE1zO8u2KSqlTV2uEDjBXYkDp6bLokxdv63t36lBmz/st/3kLw5wBAAAQEBjaDADABGcyu7Tw1r9q079/TXv/eLXyVm6S1dbt77KmLLfLUHe7TR1NUepoilRHU5Q6+153Nkd693c2Ram7PWyYqxmy18fq+J48ZSw+cEHqBwAAAM4VQSIAAAEg57Id2vPm9WqpTtSBv16hhV95198lTTq93RafELCjOVIdjVHecLCzKdKzrylKbqd5TO/97o8fUOKsciXnlyhl3mEl5R1RUHDPmN4DAAAAOF8EiQAABID+uRI3/vvXtO/tqzT3+o10JY6Ay2moqzVcnc1R6mj0hIOdTf1dg77hYE9H6KiuHRzRLltsi2zRLQqNaZUtplW2mBbZYloUGu1531ITr/efeGD4i7lNqvtshuo+m6GiP1wnU1CvEnLLlZJfopT8EiXMKidYBAAAgN8RJAIAECBmXLZdu9dcp5aqJB1Y+0UtvOVv/i7Jb9rapNragW3/uisGugn7Ogk7mqPU1RIht2vkU0KbrY6+MLBVoX1/eoPC2BbZoj37Q6PaZLY4h71eVGqtwuIa+xZaOd08iG6FxTdp1RM/V+3BmareN0vVxbNkr49V7cGZqj04U7vfXCWzpUcJs8qUkn/YGyyaLb0j/4EBAAAAY4AgEQCAAGEyuz1dic983dOVuGqjrLYuf5c1Znp7pbo634CwtlaqqRm6z24/9ezbTndJD8Ol0Kg2TzgYPahrsK+LMLTvvS2mVZbQLhljuO6JyexW4X1rtO6p+yW55RsmuiVJhfeuUVRyvaKS6zXryk/ldktttfGqLp7Vt+WqozFGNftnqWb/LO36/Q0yWx1KnF3m7VicNrNiRMEmAAAAcD4IEgEACCAz/m6H9qy5Ts3Hk7V/7RW6aIJ3JbrdksMe6u0S/H37mUPC+nrP8SMVHi4lJUnJyVKVa6cnGIz2dA6Gxni6B20xLQqJapfJ7Bq/hxxGduEeXfXwi9ry8i2yN8R694fFN6nw3jXKLtzjc7xhSJHJ9YpMrtfsqz+R2y21VCd4g8Wa4lx1Nkepet9sVe+bLUkKCu5W4pzPBwWLR/36zAAAAJicCBIBAAgg/V2JG35+r/a9dZXisivV0xEqW2yLkvJKZTKPIok7D86eIHU2R4xo5WJnj8V73tphrms2S4mJAwFhUpLv1r8vMdETJPa7/y8vj8+DjpHswj3KvKRItQdnqqMxalTfl2FI0aknFJ16QnnXfiS3W2o+nuQJFvfNUs3+XHW1RqiqKE9VRXmSJEtol5LySpWSf1jJ+SWKn15JsAgAAIDzRpAIAECAmf6Fndr66pfV0RCr9378v737w+IaVXjf0A63kXK7pe62sBGtXNzdFj78BQexhtlli2lVQU7ykFBw8Pu4OMk08ikNA4rJ7FZK/uHzvo5hSDHptYpJr9Xc6zbL7TLUVJk8ECwemKnutnBV7spX5a58SZLF1qnkuaXejsXYrOMXLHQGAADA5EGQCABAgDm6rUAdDTFD9tsbYrTuqft11cMv+oSJvd2Wvk7Bs69c3NkcKVfvyP/TwBTU65lz8NSVi6NbPMOL+1YuDo1u9a44/OINL57/DwA+DJNbsZnVis2s1rxVG+V2GWqoSFVN3/yKNQdy5bDbdGzHfB3bMV+SFBxuV9LgYDGzWoaJYBEAAABnR5AIAEAAcTkNbXn5ljN8akhya8O/36Npf7nCExw2RamnI3RU9wiOaD/zysUxrX0LlbQoOLxjTBcmwdgwTG7FTz+u+OnHlX/jermchhrK01VTnOuZY/HATHW3h+notgId3VYgyfOdJ8/zrAidMr9EMek1fLcAAAAYgiARAIAAUntwps+CHUMZcnYHq/bALJ+9ZqtjIBw808rF0Z7PWP13cjGZ3ZqWc0zTco5p/pc+kMtpUv3nGd6FW2oO5qi7LVwVn16kik8vkiSFRLUqZd5hPX9cuuIKadYsESwCAACAIBEAgEDS0Rg1ouPyrt+g6ct2e1cutti6CIIgSTKZXUrIrVBCboUKbn5Prl6TTh7JUvU+z1Do2kM56mqJVNkni/W/PvGck5QkLV/uCRWvuELKySFYBAAAmIoIEgEACCC22JYRHTe9cI9S5pWOczWYDExBLiXOLlPi7DItvOVvcvaYdbLUEyxG1NyoLVuk2lrpjTc8mySlpnoCxf5wMTubYBEAAGAqIEgEACCAJOWVKiyuUfaGGHnmRDyVW2HxTUrKI0TEuTFbnErK+1xJeZ/rxRtuVFeXtG2btHGjZ9u6Vaqqkl57zbNJUkbGQLfi8uVSZqZfHwEAAADjxOTvAgAAwMiZzG4V3rem792pq+x63hfeu0YmMyvwYmyEhEiXXy49/ri0ebPU3Cx98IH0gx9Iy5ZJQUHSsWPSb38r3X23lJUlTZ8uff3rnqCxqsq/9QMAAGDs0JEIAECAyS7co6seflFbXr7FZ+GVsPgmFd67RtmFe/xYHSa70FDpyis9myTZ7dInn0ibNnk6FnfskMrLPdtvfuM5ZubMgWHQy5f7qXAAAACcN4JEAAACUHbhHmVeUqTagzPV0RglW2yLkvJK6UTEBRcWJl19tWeTpLY26eOPPaHipk3Srl1Saalne/llzzHRaY8red5hpcwvUcq8wwqNbvNb/QAAABg5gkQAAAKUyexWSv5hf5cB+IiIkFau9GyS1NIiffTRwByLRUVS8/FkNR9P1qF3L5ckxWRUKSX/sJLzPcFiSKTdfw8AAACAMyJIBAAAwLiJipJWrfJsktTUJN32//9K1cWzVF2cq8aKdDUdS1XTsVQd+OsVkqTYrEql5B9WSn6JkueVKji8w49PAAAAgH4EiQAAALhgYmKkrEv3KuvSvZKkrtYw1ezP9QaLTcdS1ViRrsaKdO3/y5WS4VJc9nGl5JcoZX6JkvNKZQ3r8vNTAAAATE0EiQAAAPCbkEi7sgv3eBcJ6myOUPX+XNUUe8LF5uPJaijLUENZhor/dJUMk0vx0495hkHPL1HSnCOy2rr9/BQAAABTA0EiAAAAJozQ6DbN+MIuzfjCLklSR2NkX7fiLNXsz1VLdaJOHsnSySNZ2vfWNTJMTk2beVQp8zzBYuKcz2UJcfj5KQAAACYngkQAAABMWLbYVuVcvkM5l++QJLXXR6umbxh09f5ZaqudphMl03WiZLqK/u9KmYJ6NW1mhXeOxcTZnysouMfPTwEAADA5ECQCAAAgYITHN2vmFds084ptkqS2E7HeYdDVxbPUfjJOdYdyVHcoR3vWXCdTUI8SZ5V7hkLnH1bCrDIFWXuHvY/Laaj24Ex1NEbJFtuipLxSmczu8X48AACACY0gEQAAAAErIqFREVduVe6VW+V2S2118Z5uxeJZqimeJXtDjGoO5KrmQK52vyGZrQ4lzirzLt4ybWaFzBanzzXLtyzUlpdvkb0h1rsvLK5Rhfet8c7lCAAAMBURJAIAAGBSMAwpMqlekUn1mn3VFrndUmtNgjdYrC6epc6mKFUXz1Z18WzpdU+wmDTniGco9PwStddHa/3T3xhybXtDjNY9db+uevhFwkQAADBlESQCAABgUjIMKSrlhKJSTmjONR/L7ZZaqhJVvW+Wqvd75lnsaolU1d48Ve3N6zurf/iycerVJLm15T9vUeYlRQxzBgAAUxJBIgAAAKYEw5Ci0+oUnVanvOs+lNstNVUme4LF4lmqKpqjns7Qs11B9vpYvfnNHyksrkVWW6csti7Pn6Fdsva/tnXJGtoli61T1rBOWUMH9gcFO2ScmlECAAAECIJEAAAATEmGIcVm1Cg2o0bzVm1S6aYl2vjMvcOe11aXoLa6hHO7p8klS2inrLauvsCx7/UpgaM3iDw1qAzrlCW0U5YQhwwTXZEAAODCIkgEAAAAJIXFtYzouEvu/h9FJDbI0RGino5QOTpD1NMRIseprztC+16HqKczVG6XSW6XSQ57mBz2sPMr1nDJEtotq62zL3TsUsV/SJGRni0qauD12baICMlsPr9SJgJW2QYA4MIgSAQAAAAkJeWVKiyuUfaGGA2dI1GS3AqLb1L+jR+MOqRyu6XebuspgWNoXxg5EDx6QseQQSFkaN/7gWPcTrPkNqmnI1Q9HaGy993j/ZJze+7w8DMHjTsbbjll2PbQLsn+fSaz69wKOE+ssg0AwIVDkAgAAABIMpndKrxvjdY9db88i64MDhM9wWHhvWvOqdPNMCRLiEOWEIdssa3nXKPbLTkdFm+X4+Ag8o7Z/0utrfJuLS3yeX/q1t3tuWZ7u2errj7dHa8ccW1mq8PTIRk20CV5usDRGto3fNt7nG84abY4R3zP8i0L+74vX6yyDQDA+CBIBAAAAPpkF+7RVQ+/OLTDLb5Jhff6v8PNMKSg4B4FBfdIMW0+n915w+iu1d0ttbWdPXB8Y9c7A52TnSFy2EPl6BwYsu3oCJXTYZUkOR1WdTqs6myOOq9nNFt6POFifxgZ1jkQPg4KIi0h3dr1+1X9P5lTrsIq2wAAjAeCRAAAAGCQ7MI9yrykaNLPuRcc7Nni4898TNlf/jTsdVy9Jt+h2n1Dsz2h42n293dRdoYOGtYdot6uEEmSs8ciZ4tFXS2R5/mEnlW2j25foOylRed5LQAAIBEkAgAAAEOYzG6l5B/2dxkBwRTkUkhEh0IiOs7rOi6noZ7OUwPHoQvY9AeRjUdTdLJ0+rDXXffkP8kW26S46ccVl12p+OxKxU0/rsikk6x8DQDAKBEkAgAAAPA7k9mt4PBOBYd3Smoa9vjq4lyt/ZfvjODKLnU0xqijMUaVO/O9ey2hXYrN6gsXp1cqbnqlYjKqFWTtPfeHAABgkiNIBAAAABBwRrrK9j/88l/VXJmihrI01ZdlqKE8TY1HU9XTGaK6QzmqO5TjPcMwORWdXjsQLmZXKi77uEIi7ae5PgAAUw9BIgAAAICAM9JVtoPDupQ4u0yJs8u8n7qcJrVUJaqhvC9c7AsZu9vC1XQ0VU1HU3Vk06Xe48PiGxU//Zh3eHRcdqUiEhtknC6/BABgEiNIBAAAABCQznWVbZPZpZiMGsVk1Cjn8h2SJLdb6miMVn1ZuhrK0tVQnqaGsnS11ibIXh/bt3BLgfca1rAOb8diXF/3Ykx6jcwW57g+MwAA/kSQCAAAACBgjdUq24YhhcU1KyyuWZlLir37HfYQNVSkqaE83du52HQsRQ67TTX7Z6lm/yzvsaagXsWkVw8s7NIXMFrDusbseQEA8CeCRAAAAAABbTxX2baGdSl57hElzz3i3efsMav5eJIaytM9HYx9IaPDHqaG8gw1lGf4XCMi8aS3c7E/XHS7xdBoAEDAIUgEAAAAgFEwW5yKy65SXHaVcr+4VZJnaHT7yVg1lA0KF8vT1H4iXm1109RWN00VWxd6r/Hu96SCAmnhQs+fBQXS7NlSEH9DAwBMYPxrCgAAAADOk2FIEQmNikhoVNale737u9psaixPU335wNyLTZUpamw0a8MGacOGgWsEB0v5+QPBYkGBtGCBFB5+oZ8GAIDTI0gEAAAAgHESEtGhlPmHlTJ/YOh1ryNIq7OfU1GRVFQk7dkj7d0rtbVJO3d6tn6GIeXk+IaLCxdKSUkMjQYAXHgEiQAAAABwAQVZe3XRRdJFFw3sc7mk8vKBYLE/ZKyqkkpLPdsf/jBwfEKCb7BYUCC5nMaoF5kBAGA0CBIBAAAAwM9MJmnGDM92880D+0+eHAgV+7fPPpNOnJDef9+z9TNbf6G4LM+iLnHTKxWfXanYrCoFBfdc2IcBAExaBIkAAAAAMEFNmyZddZVn69fRIe3fL5+h0fv2SR0dVp04PF0nDk/3HmuYXIpKrfWsGp3dv2r0cYVGt13wZwEABD6CRAAAAAAIIDabdPHFnq2f0yn9fy89qobyvlWj+7bOlkg1V6aouTJFn384cIIttklx0/vCxWxPB2NkUr0ME0OjAQBnRpAIAAAAAAHObJai0+oUnVanGX83sFpLR1PkQLBY7lk1uqU6QR2NMepojFHlznzvsZbQLsVmDepcnF6pmIxqBVl7/fFImABcTkO1B2eqozFKttgWJeWVMg8nMMURJAIAAADAJGWLaVXGogPKWHTAu6+nM1gNFameYLHMEy42Hk1VT2eI6g7lqO5QjvdYw+RUdHqt4qcf8w6PjpteqZCIjnOqh2AqcJRvWagtL98ie0Osd19YXKMK71uj7MI9fqwMgD8RJAIAAADAFGIJ7VbSnDIlzSnz7nM5TWquShzoXCzzDJHubgtX09FUNR1NVenGgWuExTd6wsXpAx2M4QkNMowz35dgKnCUb1modU/dP2S/vSFG6566X1c9/CLfGTBFESQCAAAAwBRnMrsUm1Gj2IwazVy+XZLkdkv2hmhPsPh5uurLPSFjW+002etjZa+P1dHtBd5rWMM6PB2L2Z6Vo+OnVyo6rUZmi5NgKoC4nIa2vHxL37tTk2FDkltb/vMWZV5SRDcpMAURJAIAAAAAhjAMKTy+WeHxzcpcUuzd77CHeOdbrO/rYGw6liKH3aaa/bNUs3+W91hTUK+i06rVWpPYf9VT76LzCabcbsntMiS3IXffJrcht8skt1t9+01yuwZ95jZO+37wsZL6rmFo3z7J5fLcy+Ua2E59P9p9ZdsvOn1tPvX0febqq63/mfpqO+0zuQy5dcozuTXoGn2faeCcwfdrb4j26Ro9zT8ZstfH6pOXblNcZpXMwT0KsvbIbHUoyNqjoGCHzNZB+4J7FGR1KCjYIVOQa1TfL0aHqQNwIRAkAgAAAABGzBrWpeR5pUqeV+rd5+wxq/l4shrK0jydi30Bo8NuU2NFxjBX9ARTv73j5zKbXYNCMVNfuOUJ9XxCP3nCtAvhf8btykM7NAPJob8tH/U5hsmpoOCB0NETODr69nlem08JI4OsjrOGlUHBDpmDHd5jq6ul0FDPFhyssw63n0yYOgAXCkEiAAAAAOC8mC3OvsVYjitXWyV5uu7aT8Rp/9rlKv7T1cNeo8cepp7xLlSSYXJJhltG3ybDLcPk6nstGYZLhmngs6iQSJlM8m6GobO+H+kxRxoPS6b+Ojz37K/PMNyez+T27O+vd/Drvro95wy6xpBnG/T6jO/7fyZS24kYHV7/hWF/jikLDsoa2i2nw6Jeh0W9Dquc3Z7XTofVs6/bKqfD6j3H7TKrp9Osns6Q8flyJb0x6LVhSCEhA8HiaDebbeB12YGFA8GmtccnEB0cbPZ/jxcSUwfgQiJIBAAAAACMOcOQIhIblHlx8YiCxMu+9aoScyvOEPQNCtI0+L1vkDZ8cDb653jxhhdHf9II3P+Xn4/Ldc+Xy2moqihP9oYYDR2KLkluhcU36brHfzGiYbNut7xho9NhVW+3pe+9J2x0dvf92Rc8Dg4iPcGk7+f953re933u3W+RyxEil2vg3p2dnu38fXNER5mCenw6LIOsPX0dlY5BHZgDYeTA/h6fzsqRDhmX4WZOS1xQBIkAAAAAgHGTlFeqsLjGYYOp3Cu2EnRMACazW4X3renrcHPL9zvzfD+F964Z8XdlGPKEXsE9kjrGutwhXlj1onp6BgLEsdr2HT8yEIj2BZ79gaardyBacfVa5Oi1SPZxf1QPwym5zWc7QPb6WNUenKmU/MMXqChMZgSJAAAAAIBxM9bBFMZfduEeXfXwi0Pn3ItvUuG9E3vOPcOQrFbPFhU1dte9/y//dsbPXE5joIvy1M7Ks3Vgej8fPBTc4tNheboh44OHi589RBzQ0TiGPwxMaQSJAAAAAIBxFcjB1FSVXbhHmZcUsQrwCJjMbplCu2UJ7b4g9xs8XLx632x98LPhF+6xxbZcgMowFRAkAgAAAADGHcFU4DGZ3QyHnYAGDxfPunTPiKYOSMorPc1nwOiZ/F0AAAAAAGBq6A+mci7foZT8w4SIwHnqnzrA49TfJ6YOwNgjSAQAAAAAAAhQ/VMHhMU1+ewPi2/SVQ+/yNQBAeC556SsLCkkRLrkEmn7dn9XdGYMbQYAAAAAAAhgTB0QuN58U3roIemFFzwh4rPPStdcI5WUSAkJ/q5uKDoSAQAAAAAAAhxTBwSmZ56R7rtPuuceKS/PEyjabNJvfuPvyk6PIBEAAAAAAAAYI21tbWptbfVu3d2nX9Hb4ZB27ZJWrBjYZzJ53n/66QUqdpQIEgEAAAAAAIAxkpeXp6ioKO/25JNPnva4+nrJ6ZQSE333JyZKtbUXoNBzwByJAAAAAAAAwBg5ePCgUlNTve+Dg4P9WM3YIkgEAAAAAAAAxkhERIQiIyOHPS4+XjKbpbo63/11dVJS0jgVd54Y2gwAAAAAAABcYFartGiRtH79wD6Xy/N+6VL/1XU2dCQCAAAAAAAAfvDQQ9Jdd0mLF0sXXyw9+6xkt3tWcZ6ICBIBAAAAAAAAP7j1VunkSenRRz0LrBQUSO++O3QBlomCIBEAAAAAAADwkwce8GyBYFRzJBYVFenIkSPjVcuEU1FRoZ07d3rff/bZZ9q/f78fKwIAAAAAAAD8g47Es0hPT/dZrhsAAAAAAACYqggSz8JsNstsNvu7DAAAAAAAAMDvRh0kut1ulZaWqra2ViaTSSkpKcrKypJhGKqoqNDJkye1ZMkSn3N27typuLg4ZWdnn/aadrtdn3/+uVpaWmQymRQbG6ucnBxZLBZVV1eroqJCS5culWEY3nOKi4tlsVg0e/ZsSVJ9fb0qKirU0dEhq9WqpKQkZWZmes/ZtGmTcnNz1dDQoKamJoWEhGjWrFmyWq0qKSlRa2urwsPDNWfOHIWGhkryDG2ur6/X4sWLT1t3S0uLJGnXrl2qqKhQVFSUcnJyvOd3dXVp69atmjt3rqqqqtTa2qrQ0FDl5uYqKirKe52TJ0+qvLxcnZ2dCg4OVmpqqtLT08/6HVRWVqqmpkZdXV2yWq1KSUlRZmamJKm9vV1HjhxRa2urTCaTpk2bppycHG8o+tlnn6m3t1cRERE6fvy43G630tLSlJmZqeDWYFk6LHIbbnVHdKvX1nvGOgAAAAAAADB1jGqOREmqra2VYRhatGiRcnJyvIGWJCUnJ8tut6u1tdV7fFtbm9rb25WUlHTa6/X29qqoqEjh4eFatGiR5s+fL4fDoQMHDkiSpk2bpp6eHjU3N3vP6enpUWNjoxL7lrBpbm7WoUOHlJaWpiVLlig3N1e1tbU6evSoz72OHj2qxMRELV68WDabTYcOHVJJSYkyMjK0aNEiSVJpaemIfxZOp1OSNG/ePBUUFEiS9u/fL7fb7XNceXm50tPTfe7bf0xbW5sOHDighIQELVmyRFlZWSovL1dtbe0Z71tWVqZjx44pMzNTF198sfLy8mS1Wr017du3T0FBQVq0aJHmzp2rpqamIc/V1NQkh8OhhQsXasaMGaqoqFBxcbHcJrfs8Xb12HoU0hIiw2mcrgQAAAAAAABMMaMOEoODgzVjxgzZbDYlJiYqLS1Nx48f934WGxvrE4LV1tYqOjra26V3qqqqKoWHh2v69Omy2WyKiIjQ7Nmz1dzcrI6ODlksFsXFxamurs57zsmTJ2WxWBQdHS3JExBmZGQoKSlJoaGhio2NVXZ2tqqrq33ulZSUpISEBNlsNmVkZKirq0uJiYmKjY1VWFiY0tLSfALL4cTGxnqfOzw8XLNnz5bdbldHR4fPcenp6YqLi5PNZlNWVpa6urrU2dkpSaqsrFRMTIyysrJks9mUlJSk1NRUHTt27LT37O3tVVVVlWbMmOF93qioKCUnJ0u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            "text/plain": [
              "<Figure size 1500x900 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# gfx test 2 invertito\n",
        "\n",
        "# Assumi che query_analysis sia già definito e caricato\n",
        "\n",
        "# Assicurati che il DataFrame sia ordinato in base alla 'position'\n",
        "query_analysis = query_analysis.sort_values(by='position')\n",
        "\n",
        "# Seleziona solo le prime 10 posizioni\n",
        "top_10_query_analysis = query_analysis.head(10)\n",
        "\n",
        "# Imposta le dimensioni del grafico\n",
        "plt.figure(figsize=(15, 9))\n",
        "\n",
        "# Crea l'asse per il conteggio delle query\n",
        "ax1 = plt.gca()  # Get current axis\n",
        "ax1.bar(top_10_query_analysis['position'], top_10_query_analysis['query_count'], color='g', alpha=0.6, label='Query Count')\n",
        "ax1.set_xlabel('Position')\n",
        "ax1.set_ylabel('Query Count', color='g')\n",
        "ax1.tick_params(axis='y', labelcolor='g')\n",
        "\n",
        "# Crea un secondo asse per il CTR\n",
        "ax2 = ax1.twinx()  # Crea un secondo asse che condivide lo stesso asse x\n",
        "ax2.plot(top_10_query_analysis['position'], top_10_query_analysis['website avg ctr by pos'] * 100, color='b', marker='o', label='CTR')\n",
        "#ax2.plot(top_10_query_analysis['position'], top_10_query_analysis['website avg ctr by pos'], color='b', marker='o', label='CTR')\n",
        "ax2.set_ylabel('CTR (%)', color='b')\n",
        "ax2.tick_params(axis='y', labelcolor='b')\n",
        "\n",
        "# Aggiungi titoli e legenda\n",
        "plt.title('Query Count and CTR by Position (Top 10 Positions)')\n",
        "ax1.legend(loc='upper left')\n",
        "ax2.legend(loc='upper right')\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "# Aggiungi la firma\n",
        "ax1.text(0.05, 0.005, 'by evemilano.com', transform=ax1.transAxes, fontsize=10,\n",
        "        verticalalignment='bottom', horizontalalignment='right', color='grey', alpha=0.5)\n",
        "\n",
        "# Mostra il grafico\n",
        "plt.show()\n",
        "\n",
        "# Salva l'immagine\n",
        "file_name = 'output_file_name'  # Sostituisci con il nome del file di output desiderato\n",
        "plt.savefig(f'{new_output_dir}/{file_name}_query_count_and_ctr_by_position.png', bbox_inches='tight')\n",
        "\n",
        "\n",
        "# Chiudi la figura per liberare memoria\n",
        "plt.close()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Missing positions in mapping: []\n",
            "Somma totale dei clicks: 2125\n",
            "Somma totale delle impressions: 321128\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>49</td>\n",
              "      <td>14366</td>\n",
              "      <td>0.34%</td>\n",
              "      <td>7</td>\n",
              "      <td>0.62%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>5</td>\n",
              "      <td>14341</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>10</td>\n",
              "      <td>0.16%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.evemilano.com/servizi-web-marketing/</td>\n",
              "      <td>0</td>\n",
              "      <td>8790</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>41</td>\n",
              "      <td>0.22%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/co...</td>\n",
              "      <td>0</td>\n",
              "      <td>6878</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>36</td>\n",
              "      <td>0.06%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>105</td>\n",
              "      <td>6654</td>\n",
              "      <td>1.58%</td>\n",
              "      <td>17</td>\n",
              "      <td>0.03%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>2</td>\n",
              "      <td>6582</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>11</td>\n",
              "      <td>0.20%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>https://www.evemilano.com/servizi-seo/posizion...</td>\n",
              "      <td>0</td>\n",
              "      <td>6310</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>51</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>https://www.evemilano.com/servizi-seo/</td>\n",
              "      <td>1</td>\n",
              "      <td>6149</td>\n",
              "      <td>0.02%</td>\n",
              "      <td>51</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>https://www.evemilano.com/guide-seo/motori-di-...</td>\n",
              "      <td>10</td>\n",
              "      <td>6128</td>\n",
              "      <td>0.16%</td>\n",
              "      <td>28</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>4572</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>71</td>\n",
              "      <td>0.14%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                page  clicks  impressions   \n",
              "0             https://www.evemilano.com/web-archive/      49        14366  \\\n",
              "1            https://www.evemilano.com/proxy-server/       5        14341   \n",
              "2   https://www.evemilano.com/servizi-web-marketing/       0         8790   \n",
              "3  https://www.evemilano.com/pubblicita-google/co...       0         6878   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...     105         6654   \n",
              "5                    https://www.evemilano.com/gdpr/       2         6582   \n",
              "6  https://www.evemilano.com/servizi-seo/posizion...       0         6310   \n",
              "7             https://www.evemilano.com/servizi-seo/       1         6149   \n",
              "8  https://www.evemilano.com/guide-seo/motori-di-...      10         6128   \n",
              "9     https://www.evemilano.com/servizi-seo/agenzia/       0         4572   \n",
              "\n",
              "    ctr  weighted avg position  website avg ctr by pos  \n",
              "0 0.34%                      7                   0.62%  \n",
              "1 0.03%                     10                   0.16%  \n",
              "2 0.00%                     41                   0.22%  \n",
              "3 0.00%                     36                   0.06%  \n",
              "4 1.58%                     17                   0.03%  \n",
              "5 0.03%                     11                   0.20%  \n",
              "6 0.00%                     51                   0.00%  \n",
              "7 0.02%                     51                   0.00%  \n",
              "8 0.16%                     28                   0.00%  \n",
              "9 0.00%                     71                   0.14%  "
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# file raw scaricabile con posizione media del sito web\n",
        "raw_dfP = final_pivot_tableP.copy()\n",
        "raw_dfP = raw_dfP.reset_index()\n",
        "# Assicurati che la colonna 'position' in query_analysis sia dello stesso tipo di 'weighted avg position' in raw_dfP\n",
        "query_analysis['position'] = query_analysis['position'].astype(int)\n",
        "\n",
        "# Crea un dizionario per il mapping\n",
        "ctr_mapping = dict(zip(query_analysis['position'], query_analysis['website avg ctr by pos']))\n",
        "\n",
        "# Applica il mapping\n",
        "raw_dfP['website avg ctr by pos'] = raw_dfP['weighted avg position'].map(ctr_mapping)\n",
        "\n",
        "# Verifica se ci sono valori mancanti (NaN) e il motivo\n",
        "missing_positions = raw_dfP[raw_dfP['website avg ctr by pos'].isna()]['weighted avg position'].unique()\n",
        "print(\"Missing positions in mapping:\", missing_positions)\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_dfP['clicks'].sum()\n",
        "total_impressions = raw_dfP['impressions'].sum()\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "# Visualizza il risultato\n",
        "raw_dfP.head(10)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Rows: 831\n",
            "Somma totale dei clicks: 2125\n",
            "Somma totale delle impressions: 321128\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>49</td>\n",
              "      <td>14366</td>\n",
              "      <td>0.34%</td>\n",
              "      <td>0.62%</td>\n",
              "      <td>lower</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>5</td>\n",
              "      <td>14341</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>0.16%</td>\n",
              "      <td>lower</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.evemilano.com/servizi-web-marketing/</td>\n",
              "      <td>0</td>\n",
              "      <td>8790</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               page  clicks  impressions   \n",
              "0            https://www.evemilano.com/web-archive/      49        14366  \\\n",
              "1           https://www.evemilano.com/proxy-server/       5        14341   \n",
              "2  https://www.evemilano.com/servizi-web-marketing/       0         8790   \n",
              "\n",
              "    ctr  website avg ctr by pos comparison  weighted avg position  \n",
              "0 0.34%                   0.62%      lower                      7  \n",
              "1 0.03%                   0.16%      lower                     10  \n",
              "2 0.00%                   0.22%      lower                     41  "
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per confrontare i CTR\n",
        "def compare_ctr(row):\n",
        "    if row['ctr'] > row['website avg ctr by pos']:\n",
        "        return 'greater'\n",
        "    elif row['ctr'] < row['website avg ctr by pos']:\n",
        "        return 'lower'\n",
        "    else:\n",
        "        return 'equal'\n",
        "\n",
        "# Applica la funzione a ciascuna riga per creare la colonna 'comparison'\n",
        "raw_dfP['comparison'] = raw_dfP.apply(compare_ctr, axis=1)\n",
        "\n",
        "print(\"Rows: \" + str(raw_dfP.shape[0]))\n",
        "# Specifica il nuovo ordine delle colonne\n",
        "new_columns_order = ['page', 'clicks', 'impressions', 'ctr', 'website avg ctr by pos', 'comparison', 'weighted avg position']\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_dfP['clicks'].sum()\n",
        "total_impressions = raw_dfP['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Riordina le colonne in raw_dfP\n",
        "raw_dfP = raw_dfP.reindex(columns=new_columns_order)\n",
        "\n",
        "raw_dfP.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con le cartelle di primo livello\n",
            "Somma totale dei clicks: 1291\n",
            "Somma totale delle impressions: 199850\n"
          ]
        },
        {
          "data": {
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              "    }\n",
              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>url count</th>\n",
              "      <th>ctr</th>\n",
              "      <th>click/URL</th>\n",
              "      <th>imp/URL</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>first_level_folder</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>come-funzionano-le-espressioni-regolari-regex</th>\n",
              "      <td>74</td>\n",
              "      <td>5480</td>\n",
              "      <td>13</td>\n",
              "      <td>1.35%</td>\n",
              "      <td>569.23%</td>\n",
              "      <td>42153.85%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>servizi-seo</th>\n",
              "      <td>5</td>\n",
              "      <td>27668</td>\n",
              "      <td>13</td>\n",
              "      <td>0.02%</td>\n",
              "      <td>38.46%</td>\n",
              "      <td>212830.77%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>redirect</th>\n",
              "      <td>14</td>\n",
              "      <td>3702</td>\n",
              "      <td>11</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>127.27%</td>\n",
              "      <td>33654.55%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>corsi</th>\n",
              "      <td>2</td>\n",
              "      <td>7860</td>\n",
              "      <td>11</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>18.18%</td>\n",
              "      <td>71454.55%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>category</th>\n",
              "      <td>0</td>\n",
              "      <td>1353</td>\n",
              "      <td>11</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>12300.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>disavow-tool</th>\n",
              "      <td>0</td>\n",
              "      <td>383</td>\n",
              "      <td>3</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>12766.67%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>contatti</th>\n",
              "      <td>0</td>\n",
              "      <td>1006</td>\n",
              "      <td>3</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>33533.33%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>wordpress-index-o-noindex-sulle-categorie</th>\n",
              "      <td>6</td>\n",
              "      <td>233</td>\n",
              "      <td>3</td>\n",
              "      <td>2.58%</td>\n",
              "      <td>200.00%</td>\n",
              "      <td>7766.67%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>blog-aziendali-wordpress</th>\n",
              "      <td>0</td>\n",
              "      <td>1920</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>96000.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>servizi-web-marketing</th>\n",
              "      <td>0</td>\n",
              "      <td>9940</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>497000.00%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>95 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               clicks  impressions  url count   \n",
              "first_level_folder                                                              \n",
              "come-funzionano-le-espressioni-regolari-regex      74         5480         13  \\\n",
              "servizi-seo                                         5        27668         13   \n",
              "redirect                                           14         3702         11   \n",
              "corsi                                               2         7860         11   \n",
              "category                                            0         1353         11   \n",
              "...                                               ...          ...        ...   \n",
              "disavow-tool                                        0          383          3   \n",
              "contatti                                            0         1006          3   \n",
              "wordpress-index-o-noindex-sulle-categorie           6          233          3   \n",
              "blog-aziendali-wordpress                            0         1920          2   \n",
              "servizi-web-marketing                               0         9940          2   \n",
              "\n",
              "                                                ctr  click/URL    imp/URL  \n",
              "first_level_folder                                                         \n",
              "come-funzionano-le-espressioni-regolari-regex 1.35%    569.23%  42153.85%  \n",
              "servizi-seo                                   0.02%     38.46% 212830.77%  \n",
              "redirect                                      0.38%    127.27%  33654.55%  \n",
              "corsi                                         0.03%     18.18%  71454.55%  \n",
              "category                                      0.00%      0.00%  12300.00%  \n",
              "...                                             ...        ...        ...  \n",
              "disavow-tool                                  0.00%      0.00%  12766.67%  \n",
              "contatti                                      0.00%      0.00%  33533.33%  \n",
              "wordpress-index-o-noindex-sulle-categorie     2.58%    200.00%   7766.67%  \n",
              "blog-aziendali-wordpress                      0.00%      0.00%  96000.00%  \n",
              "servizi-web-marketing                         0.00%      0.00% 497000.00%  \n",
              "\n",
              "[95 rows x 6 columns]"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Tabella pivot con le cartelle di primo livello\n",
        "print('Creazione tabella pivot con le cartelle di primo livello')\n",
        "# Definisci una funzione lambda per estrarre la cartella di primo livello dall'URL\n",
        "get_first_level_folder = lambda url: url.split('/')[3]\n",
        "\n",
        "# Crea una nuova colonna nel dataframe con la cartella di primo livello per ogni URL\n",
        "raw_dfP['first_level_folder'] = raw_dfP['page'].apply(get_first_level_folder)\n",
        "\n",
        "# Raggruppa il dataframe in base alla cartella di primo livello e calcola le somme di 'clicks' e 'impressions' e il conteggio degli URL\n",
        "trending_folders = raw_dfP.groupby('first_level_folder').agg({'clicks': 'sum', 'impressions': 'sum', 'page': 'count'})\n",
        "\n",
        "# Rinomina la colonna 'page' in 'count'\n",
        "trending_folders.rename(columns={'page': 'url count'}, inplace=True)\n",
        "\n",
        "# Calcola CTR medio\n",
        "trending_folders['ctr'] = trending_folders['clicks'] / trending_folders['impressions']\n",
        "\n",
        "# Utilizza .loc per creare nuove colonne\n",
        "trending_folders.loc[:, 'click/URL'] = trending_folders['clicks'] / trending_folders['url count']\n",
        "trending_folders.loc[:, 'imp/URL'] = trending_folders['impressions'] / trending_folders['url count']\n",
        "\n",
        "# Ordina il dataframe risultante in base alle impressions\n",
        "trending_folders.sort_values('url count', ascending=False, inplace=True)\n",
        "\n",
        "# cancella righe se non hanno almeno 2 URL in cartella\n",
        "trending_folders = trending_folders[trending_folders['url count'] >= 2]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = trending_folders['clicks'].sum()\n",
        "total_impressions = trending_folders['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "trending_folders"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 352
        },
        "id": "UJQJjtJ9fna5",
        "outputId": "be6f847f-5b2d-43fa-e869-d37f5b2d4b18"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 483\n",
            "Somma totale delle impressions: 125299\n",
            "413\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions   \n",
              "0        proxy  https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1  web archive   https://www.evemilano.com/web-archive/      23         6059   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/      11         4216   \n",
              "\n",
              "    ctr  position  Char Ordered by frequency Strongest word stem spacy_nouns   \n",
              "0 0.01%         8     5                proxy               proxy       proxy  \\\n",
              "1 0.38%         4    11           web archiv                 web         web   \n",
              "2 0.26%         4    10               webarc              webarc  webarchive   \n",
              "\n",
              "  Brand/Non-branded  \n",
              "0       Non-branded  \n",
              "1       Non-branded  \n",
              "2       Non-branded  "
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Applico filtri al dataframe nobrand\n",
        "##########################################\n",
        "# rimuovo le query deboli\n",
        "\n",
        "# formattazione position\n",
        "\n",
        "# opzioni impostate a inizio script position e impressions\n",
        "#df_new = df_nobrand.loc[(raw_df['Weighted Avg Position'] <= max_pos) & (raw_df['impressions'] >= min_imp),:]\n",
        "df_new = df_nobrand.loc[(raw_df['weighted avg position'] <= max_pos) & (raw_df['impressions'] >= min_imp),:].copy()\n",
        "\n",
        "\n",
        "# Rimuovi il simbolo di percentuale e converti in float, poi in int\n",
        "df_new['weighted avg position'] = df_new['weighted avg position'].astype(int)\n",
        "\n",
        "# rinomina colonna position\n",
        "df_new = df_new.rename(columns={'weighted avg position': 'position'})\n",
        "\n",
        "# ordino i dati per impressioni e click\n",
        "df_new = df_new.sort_values(by=['impressions', 'clicks'],ascending=False)\n",
        "\n",
        "if 'match_queries' in df_new.columns:\n",
        "    df_new = df_new.drop(columns=['match_queries'])\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = df_new['clicks'].sum()\n",
        "total_impressions = df_new['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "print(df_new.shape[0])\n",
        "df_new.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>9</td>\n",
              "      <td>16</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>87</td>\n",
              "      <td>11</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              query                                            page  clicks   \n",
              "0             proxy         https://www.evemilano.com/proxy-server/       1  \\\n",
              "1       web archive          https://www.evemilano.com/web-archive/      23   \n",
              "2        webarchive          https://www.evemilano.com/web-archive/      11   \n",
              "3  gdpr significato                 https://www.evemilano.com/gdpr/       0   \n",
              "4       agenzia seo  https://www.evemilano.com/servizi-seo/agenzia/       0   \n",
              "\n",
              "   impressions   ctr  position  Char Ordered by frequency Strongest word stem   \n",
              "0         6930 0.01%         8     5                proxy               proxy  \\\n",
              "1         6059 0.38%         4    11           web archiv                 web   \n",
              "2         4216 0.26%         4    10               webarc              webarc   \n",
              "3         3074 0.00%         9    16        signific gdpr            signific   \n",
              "4         2567 0.00%        87    11            seo agenz                 seo   \n",
              "\n",
              "  spacy_nouns Brand/Non-branded  website avg ctr by pos comparison  \n",
              "0       proxy       Non-branded                   0.22%      lower  \n",
              "1         web       Non-branded                   1.08%      lower  \n",
              "2  webarchive       Non-branded                   1.08%      lower  \n",
              "3        gdpr       Non-branded                   0.24%      lower  \n",
              "4     agenzia       Non-branded                   0.00%      equal  "
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# implementa colonna avg_ctr_by_pos e comparison\n",
        "##################################################\n",
        "\n",
        "# Assicurati che 'position' in df_new e 'position' in query_analysis siano dello stesso tipo di dati\n",
        "df_new['position'] = df_new['position'].astype(int)\n",
        "query_analysis['position'] = query_analysis['position'].astype(int)\n",
        "\n",
        "# Crea un dizionario per il mapping da query_analysis\n",
        "ctr_mapping = dict(zip(query_analysis['position'], query_analysis['website avg ctr by pos']))\n",
        "\n",
        "merged_df=df_new.copy()\n",
        "# Applica il mapping per ottenere 'website avg ctr by pos' in df_new\n",
        "merged_df['website avg ctr by pos'] = merged_df['position'].map(ctr_mapping)\n",
        "\n",
        "# Applica la funzione a ciascuna riga per creare la colonna 'comparison'\n",
        "merged_df['comparison'] = merged_df.apply(compare_ctr, axis=1)\n",
        "\n",
        "# Visualizza il DataFrame aggiornato\n",
        "merged_df.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eHGrdA_KmkpZ",
        "outputId": "f7f3a367-71bd-4a71-efcb-c53da4b033f9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "413\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>termini_singoli</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>[proxy]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   query                                     page  clicks  impressions   ctr   \n",
              "0  proxy  https://www.evemilano.com/proxy-server/       1         6930 0.01%  \\\n",
              "\n",
              "   position  Char Ordered by frequency Strongest word stem spacy_nouns   \n",
              "0         8     5                proxy               proxy       proxy  \\\n",
              "\n",
              "  Brand/Non-branded  website avg ctr by pos comparison termini_singoli  \n",
              "0       Non-branded                   0.22%      lower         [proxy]  "
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# nuova colonna con termini singoli\n",
        "# crea una copia\n",
        "merged_df2 = merged_df.copy()\n",
        "# creare una nuova colonna che contiene solo i termini singoli di ciascuna riga, senza stopword\n",
        "merged_df2[\"termini_singoli\"] = merged_df2[\"query\"].str.split()\n",
        "# rimuovi stopwords\n",
        "merged_df2[\"termini_singoli\"] = merged_df2[\"termini_singoli\"].apply(lambda x: [term for term in x if term not in stopwords])\n",
        "print(merged_df2.shape[0])\n",
        "merged_df2.head(1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VRDu8fjLf-4q",
        "outputId": "0fa8a567-6e8a-4d5f-f530-3dfd1017cc54"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 413/413 [00:00<00:00, 231367.38it/s]\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Single keywords: ['proxy', 'web', 'archive', 'webarchive', 'gdpr', 'significato', 'agenzia', 'seo', 'proxy', 'significato', 'gdpr', 'acronimo', \"l'indirizzo\", 'completo', 'sito', 'crawler', 'servizi', 'seo', 'posizionamento', 'siti', 'web', 'consulenza', 'web', 'marketing', 'consulenza', 'seo', 'consulente', 'web', 'marketing', 'seo', 'copywriting', 'regular', 'expression', 'proxy', 'server', 'certbot', 'motori', 'ricerca', 'usati', 'google', 'search', 'console', 'link', 'building', 'consulente', 'google', 'ads', 'seo', 'audit', 'agenzia', 'seo', 'milano', 'consulente', 'seo', 'milano', 'consulente', 'web', 'canonical', 'pubblicità', 'google', 'motori', 'ricerca', 'reindirizzamento', 'posizionamento', 'siti', 'consulenza', 'google', 'ads', 'protocollo', 'http', 'python', 'venv', 'consulenza', 'web', 'kpi', 'significato', 'google', 'cache', 'consulenza', 'seo', 'marketing', 'corso', 'seo', 'preventivo', 'seo', 'ipv4', 'ipv6', 'redirect', 'dns', 'significato', 'consulente', 'adwords', 'audit', 'seo', 'adsense', 'fail2ban', 'register', 'google', 'tag', 'manager', 'posizionamento', 'sito', 'web', 'esperto', 'google', 'ads', 'consulenza', 'adwords', 'servizi', 'web', 'marketing', 'motore', 'ricerca', 'frequenza', 'rimbalzo', 'word2vec', 'target', 'blank', 'sistrix', 'posizionamento', 'siti', 'internet', 'consulente', 'google', 'regex', 'seo', 'milano', 'embeddati', 'analisi', 'competitor', 'consulenza', 'seo', 'trovare', 'indirizzo', 'ip', 'archive', 'web', 'blog', 'aziendale', 'proxy', \"cos'è\", 'consulenze', 'seo', 'img', 'src', 'gdpr,', 'acronimo', 'consulenza', 'seo', 'professionale', 'eliminare', 'spazi', 'vuoti', 'excel', 'gestione', 'campagne', 'adwords', 'google', 'adsense', 'agenzia', 'google', 'ads', 'gestione', 'campagne', 'google', 'ads', 'consulente', 'seo', 'web', 'marketing', 'pay', 'click', 'hosting', 'gratis', 'pubblicità', 'google', 'web', 'marketing', 'consulenza', 'cloudflare', \"l'indirizzo\", 'sito', 'ppc', 'redirect', 'html', 'search', 'console', 'gdpr', 'cosa', 'significa', 'webmaster', 'alerts', 'rendering', 'significato', 'gtmetrix', 'agenzia', 'link', 'building', 'esperto', 'adwords', 'servizio', 'seo', 'posizionamento', 'sito', 'gestione', 'campagne', 'google', 'seo', 'significato', 'consulenza', 'seo', 'web', 'marketing', \"cos'è\", 'spider?', 'indirizzo', 'ip', 'campagne', 'pay', 'click', 'python', 'virtual', 'environment', 'posizionamento', 'sito', 'internet', 'strumenti', 'seo', 'agenzie', 'web', 'xml', 'cdata', 'annulla', 'spazi', 'excel', 'analisi', 'competitor', 'servizio', 'hosting', 'cdata', 'posizionamento', 'web', \"cos'è\", 'proxy', 'url', 'esempio', 'src', 'significato', 'domini', 'dns', \"cos'è\", 'spider', 'cdn', 'venv', 'internet', 'archive', 'qual', \"l'obiettivo\", 'comune', 'cosiddetto', 'poisoning', 'seo?', 'noscript', 'migrazione', 'seo', 'agenzie', 'seo', 'indicizzazione', 'sito', 'web', 'servizi', 'web', 'marketing', 'funnel', 'conversione', '<meta', 'charset=\"utf-8\">', 'corso', 'google', 'analytics', 'campagne', 'ppc', 'consulenza', 'analytics', 'agenzia', 'adwords', 'parole', 'chiave', 'google', 'elimina', 'spazi', 'excel', 'pagerank', 'ipv4', 'vs', 'ipv6', 'consulenza', 'google', 'analytics', 'consulente', 'web', 'marketing', 'copywriting', 'seo', 'tag', 'manager', 'consulenza', 'seo', 'milano', 'cloud', 'storage', 'indicizzare', 'sito', 'indicizzazione', 'google', 'consulenza', 'seo', 'prezzi', 'web.archive', 'cdata', 'xml', 'agenzie', 'seo', 'milano', 'mcc', 'google', 'wayback', 'machine', 'archive.org', 'indicizzazione', 'sito', 'pwa', 'cache', 'google', 'biddare', 'prezzi', 'consulenza', 'seo', 'archive', 'consulente', 'seo', 'consulente', 'google', 'adwords', 'dns', 'cosa', 'serve', 'bounce', 'rate', 'http', 'header', 'google', 'my', 'business', 'crawler', 'serve', 'corso', 'seo', 'online', 'web', 'marketing', 'consulente', 'consulenza', 'marketing', 'web', 'analisi', 'kpi', 'venv', 'python', 'sacheli', 'srl', 'one', 'signal', 'dati', 'strutturati', 'corso', 'seo', 'avanzato', 'agenzia', 'seo', 'milano', 'hosting', 'gratuito', 'virtual', 'environment', 'python', \"cos'è\", 'proxy', 'consulenza', 'web', 'analytics', 'progettazione', 'ecommerce', 'consulente', 'web', 'marketing', 'milano', '\"/redirect.php?url=\"', 'esperto', 'google', 'adwords', 'corsi', 'seo', 'rendering', 'google', 'alert', 'seo', 'consulenza', 'google', 'advertising', 'valore', 'sito', 'cancella', 'cronologia', 'kpi', 'indicizzare', 'sito', 'strumenti', 'webmaster', 'campagna', 'ppc', 'logrotate', \"cos'è\", 'server', 'proxy', 'prestashop', 'screaming', 'frog', 'vs', 'ahrefs', 'prezzi', 'seo', 'indicizzazione', 'siti', 'web', 'servizi', 'seo', 'copywriting', 'keyword', 'effectiveness', 'index', 'blog', 'aziendali', 'biddare', 'significato', 'agenzia', 'specializzata', 'seo', 'gdpr', 'audit', 'sito', 'web', 'differenza', 'ipv4', 'ipv6', 'consulente', 'ads', 'posizionamento', 'seo', 'milano', 'sitemap', 'corsi', 'seo', 'certificati', 'ipv4', \"cos'è\", 'ricerca', 'parole', 'chiave', 'gestione', 'blog', 'aziendale', 'analisi', 'keywords', 'dns', 'server', 'indicizzazione', 'sito', 'google', 'consulente', 'seo', 'milano', 'google', 'adwords', 'costi', \"cos'è\", 'server', 'proxy', 'python', 'environment', 'screaming', 'frog', 'vs', 'moz', 'indirizzo', 'web,', 'cos’è', '“dominio', 'secondo', 'livello”?', 'google', 'parole', 'chiave', 'url', 'rewrite', 'keep', 'alive', 'dynamic', 'search', 'ads', 'servizio', 'hosting', 'analisi', 'seo', 'competitor', 'professionista', 'seo', 'gestione', 'google', 'ads', 'dominio', 'primo', 'livello', 'esempio', 'anchor', 'text', 'annulla', 'spazi', 'inglese', 'agenzia', 'seo', 'italia', 'corso', 'google', 'ads', 'seo', 'checklist', 'agenzia', 'copywriting', 'consulente', 'seo', 'web', 'marketing', 'corsi', 'google', 'analytics', 'annulla', 'spazi', 'excel', 'inglese', 'google', 'immagini', 'espressione', 'regolare', 'servizio', 'link', 'building', 'lycos', 'motore', 'ricerca', 'redirect', '301', 'kpi', 'cosa', 'consulenze', 'web', 'marketing', \"cos'è\", 'proxy', 'fare', 'pubblicità', 'google', 'dati', 'strutturati', 'google', 'esperto', 'google', 'analytics', 'togliere', 'spazi', 'excel', 'costi', 'seo', 'meta', 'charset=', 'utf-8', 'consulenza', 'seo', 'audit', 'corso', 'copywriting', 'agenzia', 'google', 'adwords', 'seo', 'prestashop', 'header', 'http', 'espressioni', 'regolari', 'corso', 'analytics', 'screaming', 'frog', 'crawler', 'serve', 'a…', 'valutazione', 'sito', 'web', 'servizi', 'link', 'building', 'web', 'agency', 'seo', 'web.archive.org', 'chrome', 'devtools', 'agenzia', 'web', 'analytics', 'wordpress', 'debug', 'cpa', \"cos'è\", 'consulenza', 'seo', 'online', 'indirizzo', 'ip', 'consulenza', 'internet', 'marketing', 'consulenza', 'digital', 'analytics', 'create', 'virtual', 'environment', 'python', 'assistenza', 'google', 'ads', 'consulenza', 'marketing', 'online', 'cpa', 'target', 'redirect', 'url', 'dominio', 'wordpress', 'redirect', '302', 'google', 'ads', 'costi', 'analisi', 'sito', 'web', 'google', 'consulenza', 'google', 'adwords', 'sviluppo', 'wordpress', 'milano', 'indicizzare', 'sito', 'google', 'content', 'audit', 'verifica', 'indirizzo', 'ip', 'servizi', 'seo', 'copywriting', 'crawl', 'budget', 'agenzia', 'certificata', 'google', 'analizzare', 'sito', 'web', 'consulente', 'sito', 'web', 'migliori', 'strumenti', 'seo', 'campagna', 'pay', 'click', 'google', 'adwords', 'costi', 'certificazione', 'google', 'analytics', 'tail', 'linux', 'seo', 'analisi', 'online', 'strumenti', 'webmaster', 'consulenza', 'google', 'esperto', 'seo', 'milano', 'http', 'redirect', 'posizionamento', 'motori', 'ricerca', 'milano', 'cloud', 'gratis', 'google', 'analytics', 'corso', 'gestione', 'campagne', 'google', 'adwords', 'migrare', 'sito', 'wordpress', 'excel', 'eliminare', 'spazi', 'vuoti', 'seo', 'audit', 'avanzato', 'ottimizzazione', 'seo', 'milano', 'crawler', 'serve', 'srcset', 'posizionamento', 'siti', 'web', 'milano', 'migrazione', 'wordpress', 'ipv4', 'ipv6', 'migrazione', 'sito', 'wordpress', 'risorse', 'webmaster', 'nginx', 'vs', 'apache', 'consulenza', 'posizionamento', 'google', 'spider', \"cos'è\", 'motori', 'ricerca', 'internazionali', 'gestione', 'campagna', 'google', 'ads', 'consulente', 'seo', 'copywriter', 'agenzia', 'ppc', 'jquery', 'cdn', 'google', 'virtualenv', 'python', 'parole', 'chiavi', 'google', 'consulenza', 'seo', 'sito', 'web', 'posizionamento', 'online', 'aumentare', 'traffico', 'sito', 'web', 'meta', 'tag', 'robots', 'txt', 'kpi', 'aziendali', 'archive.org', 'analisi', 'competitors', 'hreflang', 'indirizzo', 'ipv4', 'debug', 'wordpress', 'pay', 'click', 'advertising', 'seo', 'prezzi', 'seo', 'avanzato', 'payperclick', \"cos'è\", 'spider', 'penalizzazioni', 'google', 'creare', 'blog', 'wordpress', 'gratis', 'cpanel', 'progressive', 'web', 'app', 'consulente', 'strategie', 'web', 'marketing', 'cerca', 'google', 'digita', 'url', 'mobile', 'advertising', 'dominio', 'secondo', 'livello', 'python', 'env', 'linkbuilding', 'miglior', 'seo', 'server', 'dns', 'consulenti', 'adwords', 'hosting', 'wordpress', 'gratis', 'tag', 'canonical', 'fattori', 'ranking', 'disavow', 'corso', 'seo', 'copywriting', 'yahoo', 'motore', 'ricerca', 'progettazione', 'commerce', 'cloud', 'free', 'corso', 'seo', 'base', 'indicizzare', 'sito', 'google', 'pay', 'click', 'funziona', 'pay', 'click', 'marketing', 'risorse', 'webmaster', 'servizi', 'seo', 'professionali', 'trova', 'indirizzo', 'ip', 'parole', 'correlate', 'servizi', 'webmaster', 'script', 'defer', 'web', 'archive', 'machine', 'preventivo', 'google', 'ads', 'corso', 'seo', 'google', 'google', 'pay', 'click', 'archivio', 'cloud', 'register.it', 'cloud', 'online', 'google', 'pubblicità', 'account', 'google', 'ads', 'dominio', 'secondo', 'livello', 'dominio', 'primo', 'livello', 'consulenza', 'seo', 'costi', 'schema.org', 'analisi', 'parole', 'chiave', 'seo', \"cos'è\", 'frequenza', 'rimbalzo', 'page', 'rank', 'noindex', 'backlinks', 'html', 'redirect', 'seo', 'web', 'agency', 'analisi', 'parole', 'chiave', 'status', 'code', 'canonical', 'url', 'my', 'business', 'google', 'gestione', 'campagne', 'pay', 'click', 'sito', 'gratis', 'wordpress', 'intento', 'ricerca', 'creare', 'blog', 'gratis', 'wordpress', 'creare', 'blog', 'gratis', 'wordpress', 'hosting', 'web', 'gratis', 'agenzia', 'seo', 'web', 'marketing', 'gestione', 'adwords', 'google', 'pagerank', 'corso', 'google', 'analytics', 'hosting', 'free']\n",
            "Recurrence of keywords: [('seo', 68), ('google', 61), ('web', 40), ('consulenza', 28), ('sito', 23), ('marketing', 19), ('consulente', 18), ('agenzia', 14), ('ads', 14), ('milano', 14), ('adwords', 14), (\"cos'è\", 13), ('posizionamento', 12), ('corso', 12), ('analytics', 12), ('wordpress', 12), ('analisi', 10), ('proxy', 9), ('ricerca', 9), ('gestione', 9), ('significato', 8), ('servizi', 8), ('python', 8), ('pay', 8), ('click', 8), ('gratis', 8), ('copywriting', 7), ('redirect', 7), ('indirizzo', 7), ('spazi', 7), ('campagne', 7), ('hosting', 7), ('parole', 7), ('audit', 6), ('ipv4', 6), ('blog', 6), ('excel', 6), ('webmaster', 6), ('online', 6), ('archive', 5), ('siti', 5), ('server', 5), ('kpi', 5), ('dns', 5), ('esperto', 5), ('ip', 5), ('url', 5), ('indicizzazione', 5), ('chiave', 5), ('cloud', 5), ('costi', 5), ('dominio', 5), ('gdpr', 4), ('crawler', 4), ('motori', 4), ('link', 4), ('building', 4), ('pubblicità', 4), ('http', 4), ('ipv6', 4), ('tag', 4), ('internet', 4), ('ppc', 4), ('servizio', 4), ('environment', 4), ('strumenti', 4), ('vs', 4), ('indicizzare', 4), ('prezzi', 4), ('serve', 4), ('livello', 4), ('search', 3), ('canonical', 3), ('venv', 3), ('motore', 3), ('competitor', 3), ('cosa', 3), ('virtual', 3), ('agenzie', 3), ('cdata', 3), ('annulla', 3), ('spider', 3), ('migrazione', 3), ('avanzato', 3), ('corsi', 3), ('advertising', 3), ('campagna', 3), ('screaming', 3), ('frog', 3), ('secondo', 3), ('creare', 3), ('acronimo', 2), (\"l'indirizzo\", 2), ('console', 2), ('cache', 2), ('preventivo', 2), ('adsense', 2), ('manager', 2), ('frequenza', 2), ('rimbalzo', 2), ('target', 2), ('aziendale', 2), ('consulenze', 2), ('src', 2), ('eliminare', 2), ('vuoti', 2), ('html', 2), ('rendering', 2), ('xml', 2), ('esempio', 2), ('cdn', 2), ('pagerank', 2), ('machine', 2), ('archive.org', 2), ('biddare', 2), ('header', 2), ('my', 2), ('business', 2), ('dati', 2), ('strutturati', 2), ('progettazione', 2), ('prestashop', 2), ('aziendali', 2), ('primo', 2), ('inglese', 2), ('meta', 2), ('agency', 2), ('debug', 2), ('cpa', 2), ('risorse', 2), ('free', 2), ('webarchive', 1), ('completo', 1), ('regular', 1), ('expression', 1), ('certbot', 1), ('usati', 1), ('reindirizzamento', 1), ('protocollo', 1), ('fail2ban', 1), ('register', 1), ('word2vec', 1), ('blank', 1), ('sistrix', 1), ('regex', 1), ('embeddati', 1), ('trovare', 1), ('img', 1), ('gdpr,', 1), ('professionale', 1), ('cloudflare', 1), ('significa', 1), ('alerts', 1), ('gtmetrix', 1), ('spider?', 1), ('domini', 1), ('qual', 1), (\"l'obiettivo\", 1), ('comune', 1), ('cosiddetto', 1), ('poisoning', 1), ('seo?', 1), ('noscript', 1), ('funnel', 1), ('conversione', 1), ('<meta', 1), ('charset=\"utf-8\">', 1), ('elimina', 1), ('storage', 1), ('web.archive', 1), ('mcc', 1), ('wayback', 1), ('pwa', 1), ('bounce', 1), ('rate', 1), ('sacheli', 1), ('srl', 1), ('one', 1), ('signal', 1), ('gratuito', 1), ('ecommerce', 1), ('\"/redirect.php?url=\"', 1), ('alert', 1), ('valore', 1), ('cancella', 1), ('cronologia', 1), ('logrotate', 1), ('ahrefs', 1), ('keyword', 1), ('effectiveness', 1), ('index', 1), ('specializzata', 1), ('differenza', 1), ('sitemap', 1), ('certificati', 1), ('keywords', 1), ('moz', 1), ('web,', 1), ('cos’è', 1), ('“dominio', 1), ('livello”?', 1), ('rewrite', 1), ('keep', 1), ('alive', 1), ('dynamic', 1), ('professionista', 1), ('anchor', 1), ('text', 1), ('italia', 1), ('checklist', 1), ('immagini', 1), ('espressione', 1), ('regolare', 1), ('lycos', 1), ('301', 1), ('fare', 1), ('togliere', 1), ('charset=', 1), ('utf-8', 1), ('espressioni', 1), ('regolari', 1), ('a…', 1), ('valutazione', 1), ('web.archive.org', 1), ('chrome', 1), ('devtools', 1), ('digital', 1), ('create', 1), ('assistenza', 1), ('302', 1), ('sviluppo', 1), ('content', 1), ('verifica', 1), ('crawl', 1), ('budget', 1), ('certificata', 1), ('analizzare', 1), ('migliori', 1), ('certificazione', 1), ('tail', 1), ('linux', 1), ('migrare', 1), ('ottimizzazione', 1), ('srcset', 1), ('nginx', 1), ('apache', 1), ('internazionali', 1), ('copywriter', 1), ('jquery', 1), ('virtualenv', 1), ('chiavi', 1), ('aumentare', 1), ('traffico', 1), ('robots', 1), ('txt', 1), ('competitors', 1), ('hreflang', 1), ('payperclick', 1), ('penalizzazioni', 1), ('cpanel', 1), ('progressive', 1), ('app', 1), ('strategie', 1), ('cerca', 1), ('digita', 1), ('mobile', 1), ('env', 1), ('linkbuilding', 1), ('miglior', 1), ('consulenti', 1), ('fattori', 1), ('ranking', 1), ('disavow', 1), ('yahoo', 1), ('commerce', 1), ('base', 1), ('funziona', 1), ('professionali', 1), ('trova', 1), ('correlate', 1), ('script', 1), ('defer', 1), ('archivio', 1), ('register.it', 1), ('account', 1), ('schema.org', 1), ('page', 1), ('rank', 1), ('noindex', 1), ('backlinks', 1), ('status', 1), ('code', 1), ('intento', 1)]\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Calcolo ricorrenze: 100%|██████████| 413/413 [00:00<00:00, 4889.00it/s]"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "413\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>main_query</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarchive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>9</td>\n",
              "      <td>16</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>significato</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>87</td>\n",
              "      <td>11</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>seo</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              query                                            page  clicks   \n",
              "0             proxy         https://www.evemilano.com/proxy-server/       1  \\\n",
              "1       web archive          https://www.evemilano.com/web-archive/      23   \n",
              "2        webarchive          https://www.evemilano.com/web-archive/      11   \n",
              "3  gdpr significato                 https://www.evemilano.com/gdpr/       0   \n",
              "4       agenzia seo  https://www.evemilano.com/servizi-seo/agenzia/       0   \n",
              "\n",
              "   impressions   ctr  position  Char Ordered by frequency Strongest word stem   \n",
              "0         6930 0.01%         8     5                proxy               proxy  \\\n",
              "1         6059 0.38%         4    11           web archiv                 web   \n",
              "2         4216 0.26%         4    10               webarc              webarc   \n",
              "3         3074 0.00%         9    16        signific gdpr            signific   \n",
              "4         2567 0.00%        87    11            seo agenz                 seo   \n",
              "\n",
              "  spacy_nouns Brand/Non-branded  website avg ctr by pos comparison   \n",
              "0       proxy       Non-branded                   0.22%      lower  \\\n",
              "1         web       Non-branded                   1.08%      lower   \n",
              "2  webarchive       Non-branded                   1.08%      lower   \n",
              "3        gdpr       Non-branded                   0.24%      lower   \n",
              "4     agenzia       Non-branded                   0.00%      equal   \n",
              "\n",
              "    main_query  \n",
              "0        proxy  \n",
              "1          web  \n",
              "2   webarchive  \n",
              "3  significato  \n",
              "4          seo  "
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# CALCOLO DEI TERMINI PIU FREQUENTI #\n",
        "#####################################\n",
        "merged_df3 = pd.DataFrame()\n",
        "merged_df3 = merged_df2.copy()\n",
        "# Crea una lista vuota per inserire i termini singoli\n",
        "terms = []\n",
        "# Itera su ogni riga della colonna \"termini_singoli\"\n",
        "for row in tqdm(merged_df3['termini_singoli']):\n",
        "    # Estrae tutti gli elementi della lista\n",
        "    for term in row:\n",
        "        # Aggiunge il termine alla lista\n",
        "        terms.append(term)\n",
        "print(\"Single keywords: \"+str(terms))\n",
        "# Conta quante volte ogni termine appare nella lista\n",
        "term_counts = Counter(terms)\n",
        "# Ordina i termini in base al numero di occorrenze\n",
        "sorted_terms = sorted(term_counts.items(), key=lambda x: x[1], reverse=True)\n",
        "print(\"Recurrence of keywords: \"+str(sorted_terms))\n",
        "# crea una nuova colonna nel dataframe\n",
        "merged_df3['main_query'] = None\n",
        "# Creare un dizionario di termini e frequenze\n",
        "term_freq = dict(sorted_terms)\n",
        "for index, row in tqdm(merged_df3.iterrows(), total=merged_df3.shape[0], desc=\"Calcolo ricorrenze\"):\n",
        "  terms = row['termini_singoli']\n",
        "  max_term = None\n",
        "  max_freq = 0\n",
        "  # Utilizzare il dizionario per ottenere la frequenza dei termini\n",
        "  for term in terms:\n",
        "    freq = term_freq.get(term, 0)\n",
        "    if freq > max_freq:\n",
        "      max_term = term\n",
        "      max_freq = freq\n",
        "  # crea la colonna main_query\n",
        "  merged_df3.at[index, 'main_query'] = max_term\n",
        "# cancella colonna usata per calcoli\n",
        "del merged_df3[\"termini_singoli\"]\n",
        "print(merged_df3.shape[0])\n",
        "merged_df3.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_6PXLAbBAWJM",
        "outputId": "8101284e-b1be-4353-c60b-eb46c5fbf111"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "413\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>main_query</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>folder_lv4</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions   \n",
              "0        proxy  https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1  web archive   https://www.evemilano.com/web-archive/      23         6059   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/      11         4216   \n",
              "\n",
              "    ctr  position  Char Ordered by frequency Strongest word stem spacy_nouns   \n",
              "0 0.01%         8     5                proxy               proxy       proxy  \\\n",
              "1 0.38%         4    11           web archiv                 web         web   \n",
              "2 0.26%         4    10               webarc              webarc  webarchive   \n",
              "\n",
              "  Brand/Non-branded  website avg ctr by pos comparison  main_query   \n",
              "0       Non-branded                   0.22%      lower       proxy  \\\n",
              "1       Non-branded                   1.08%      lower         web   \n",
              "2       Non-branded                   1.08%      lower  webarchive   \n",
              "\n",
              "     folder_lv1 folder_lv2 folder_lv3 folder_lv4  \n",
              "0  proxy-server                                   \n",
              "1   web-archive                                   \n",
              "2   web-archive                                   "
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# crea 3 colonne con split URL path\n",
        "###################################\n",
        "# crea copia db\n",
        "merged_df4 = merged_df3.copy()\n",
        "# funzione per splittare url ad ogni /\n",
        "def extract_folders(url):\n",
        "    try:\n",
        "        # Utilizziamo un'espressione regolare per estrarre le cartelle logiche dall'URL\n",
        "        match = re.match(r'https?://[^/]+(/.*)', url)\n",
        "        if match:\n",
        "            path = match.group(1)\n",
        "            folders = path.split('/')\n",
        "            # Se l'URL ha meno di 3 cartelle, aggiungiamo le cartelle mancanti\n",
        "            while len(folders) < 3:\n",
        "                folders.append('')\n",
        "            # Restituiamo la lista di cartelle\n",
        "            return folders\n",
        "        else:\n",
        "            # L'URL non ha un percorso valido, restituisci una lista vuota\n",
        "            return [''] * 3\n",
        "    except:\n",
        "        # In caso di errore, restituisci una lista vuota\n",
        "        print(f\"Errore: Impossibile estrarre cartelle da {url}\")\n",
        "        return [''] * 3\n",
        "\n",
        "# Creiamo le nuove colonne del DataFrame utilizzando il metodo apply\n",
        "folders = merged_df4['page'].apply(extract_folders)\n",
        "merged_df4['folder_lv1'] = folders.apply(lambda x: x[1] if len(x) > 1 else '')\n",
        "merged_df4['folder_lv2'] = folders.apply(lambda x: x[2] if len(x) > 2 else '')\n",
        "merged_df4['folder_lv3'] = folders.apply(lambda x: x[3] if len(x) > 3 else '')\n",
        "merged_df4['folder_lv4'] = folders.apply(lambda x: x[4] if len(x) > 4 else '')\n",
        "print(merged_df4.shape[0])\n",
        "merged_df4.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yyAlQdD24bSN",
        "outputId": "e9c30bcb-644f-4332-e577-78fe6fda1a23"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Processing completed.3\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
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              "      <th>main_query</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>folder_lv4</th>\n",
              "      <th>top_5_queries</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
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              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.22%</td>\n",
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              "      <td>proxy</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions   \n",
              "0        proxy  https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1  web archive   https://www.evemilano.com/web-archive/      23         6059   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/      11         4216   \n",
              "\n",
              "    ctr  position  Char Ordered by frequency Strongest word stem spacy_nouns   \n",
              "0 0.01%         8     5                proxy               proxy       proxy  \\\n",
              "1 0.38%         4    11           web archiv                 web         web   \n",
              "2 0.26%         4    10               webarc              webarc  webarchive   \n",
              "\n",
              "  Brand/Non-branded  website avg ctr by pos comparison  main_query   \n",
              "0       Non-branded                   0.22%      lower       proxy  \\\n",
              "1       Non-branded                   1.08%      lower         web   \n",
              "2       Non-branded                   1.08%      lower  webarchive   \n",
              "\n",
              "     folder_lv1 folder_lv2 folder_lv3 folder_lv4   \n",
              "0  proxy-server                                   \\\n",
              "1   web-archive                                    \n",
              "2   web-archive                                    \n",
              "\n",
              "                                       top_5_queries  \n",
              "0  proxy, proxy significato, proxy server, proxy ...  \n",
              "1  web archive, webarchive, archive web, internet...  \n",
              "2  web archive, webarchive, archive web, internet...  "
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# aggiungi colonna con 5 termini più frequenti per l'URL\n",
        "########################################################\n",
        "# copia db\n",
        "merged_df5 = merged_df4.copy()\n",
        "# crea una nuova colonna vuota\n",
        "merged_df5 = merged_df5.assign(top_5_queries='')\n",
        "\n",
        "# per ogni URL mostra le 5 parole chiave con maggiori impressioni\n",
        "df_grouped = merged_df5.groupby('page').apply(lambda x: x.nlargest(5, 'impressions')['query'].tolist())\n",
        "# crea nuova colonna top_5_queries\n",
        "merged_df5['top_5_queries'] = merged_df5['page'].map(df_grouped)\n",
        "# unisci le 5 parole chiave in una stringa separata da virgola\n",
        "\n",
        "total_rows = merged_df5.shape[0]\n",
        "for i, row in merged_df5.iterrows():\n",
        "    progress = f\"Processing row {i+1}/{total_rows}\"\n",
        "    print(progress, end='\\r')\n",
        "    merged_df5.at[i, 'top_5_queries'] = ', '.join(row['top_5_queries'])\n",
        "\n",
        "# trasforma il valore posizione in intero\n",
        "merged_df5['position'] = merged_df5['position'].astype(int)\n",
        "\n",
        "print(\"Processing completed.\")\n",
        "merged_df5.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iqw-n64BqK_1",
        "outputId": "f0796b75-eb9c-45a1-bbf0-030aad2ffc7a"
      },
      "outputs": [],
      "source": [
        "# riorganizza le colonne FINAL OUTPUT\n",
        "final_df = merged_df5.copy()\n",
        "# Crea una lista delle colonne nell'ordine desiderato\n",
        "column_order = [\"query\", \"Char\", \"page\", \"clicks\", \"impressions\", \"position\", \"ctr\",\"website avg ctr by pos\", \"comparison\", \"Ordered by frequency\", \"Strongest word stem\",\"spacy_nouns\",\"main_query\",\"top_5_queries\",\"folder_lv1\",\"folder_lv2\",\"folder_lv3\",\"Brand/Non-branded\"]\n",
        "\n",
        "\n",
        "# Utilizza il metodo reindex per riordinare le colonne del dataframe\n",
        "final_df = final_df.reindex(columns=column_order)\n",
        "#final_df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 483\n",
            "Somma totale delle impressions: 125299\n"
          ]
        },
        {
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "    </tr>\n",
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              "      <td>1.08%</td>\n",
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              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>10</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>4</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>significato</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, acronim...</td>\n",
              "      <td>gdpr</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>87</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia seo, agenzia seo milano, agenzie seo m...</td>\n",
              "      <td>servizi-seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>408</th>\n",
              "      <td>agenzia seo web marketing</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.evemilano.com/about-me/collaborazi...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>88</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>seo web agenz marketing</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia web marketing</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzie web, agenzie seo, sacheli srl, web age...</td>\n",
              "      <td>about-me</td>\n",
              "      <td>collaborazioni-agenzie</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>409</th>\n",
              "      <td>gestione adwords</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/ge...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>45</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.04%</td>\n",
              "      <td>lower</td>\n",
              "      <td>adwords gestion</td>\n",
              "      <td>adwords</td>\n",
              "      <td>gestione</td>\n",
              "      <td>adwords</td>\n",
              "      <td>gestione campagne adwords, gestione campagne g...</td>\n",
              "      <td>pubblicita-google</td>\n",
              "      <td>gestione-campagne-adwords</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>410</th>\n",
              "      <td>google pagerank</td>\n",
              "      <td>15</td>\n",
              "      <td>https://www.evemilano.com/pagerank/</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>27</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.09%</td>\n",
              "      <td>lower</td>\n",
              "      <td>googl pagerank</td>\n",
              "      <td>googl</td>\n",
              "      <td>google</td>\n",
              "      <td>google</td>\n",
              "      <td>pagerank, page rank, google pagerank</td>\n",
              "      <td>pagerank</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>411</th>\n",
              "      <td>corso di google analytics</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.evemilano.com/corsi/corso-google-a...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>35</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.04%</td>\n",
              "      <td>lower</td>\n",
              "      <td>googl cors analytics</td>\n",
              "      <td>googl</td>\n",
              "      <td>corso analytics</td>\n",
              "      <td>google</td>\n",
              "      <td>corso google analytics, corsi google analytics...</td>\n",
              "      <td>corsi</td>\n",
              "      <td>corso-google-analytics</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>412</th>\n",
              "      <td>hosting free</td>\n",
              "      <td>12</td>\n",
              "      <td>https://www.evemilano.com/blog-hosting-wordpre...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>86</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>hosting fre</td>\n",
              "      <td>hosting</td>\n",
              "      <td>hosting</td>\n",
              "      <td>hosting</td>\n",
              "      <td>hosting gratis, hosting gratuito, creare un bl...</td>\n",
              "      <td>blog-hosting-wordpress-gratis</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>413 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                         query  Char   \n",
              "0                        proxy     5  \\\n",
              "1                  web archive    11   \n",
              "2                   webarchive    10   \n",
              "3             gdpr significato    16   \n",
              "4                  agenzia seo    11   \n",
              "..                         ...   ...   \n",
              "408  agenzia seo web marketing    25   \n",
              "409           gestione adwords    16   \n",
              "410            google pagerank    15   \n",
              "411  corso di google analytics    25   \n",
              "412               hosting free    12   \n",
              "\n",
              "                                                  page  clicks  impressions   \n",
              "0              https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1               https://www.evemilano.com/web-archive/      23         6059   \n",
              "2               https://www.evemilano.com/web-archive/      11         4216   \n",
              "3                      https://www.evemilano.com/gdpr/       0         3074   \n",
              "4       https://www.evemilano.com/servizi-seo/agenzia/       0         2567   \n",
              "..                                                 ...     ...          ...   \n",
              "408  https://www.evemilano.com/about-me/collaborazi...       0          100   \n",
              "409  https://www.evemilano.com/pubblicita-google/ge...       0          100   \n",
              "410                https://www.evemilano.com/pagerank/       0          100   \n",
              "411  https://www.evemilano.com/corsi/corso-google-a...       0          100   \n",
              "412  https://www.evemilano.com/blog-hosting-wordpre...       0          100   \n",
              "\n",
              "     position   ctr  website avg ctr by pos comparison   \n",
              "0           8 0.01%                   0.22%      lower  \\\n",
              "1           4 0.38%                   1.08%      lower   \n",
              "2           4 0.26%                   1.08%      lower   \n",
              "3           9 0.00%                   0.24%      lower   \n",
              "4          87 0.00%                   0.00%      equal   \n",
              "..        ...   ...                     ...        ...   \n",
              "408        88 0.00%                   0.00%      equal   \n",
              "409        45 0.00%                   0.04%      lower   \n",
              "410        27 0.00%                   0.09%      lower   \n",
              "411        35 0.00%                   0.04%      lower   \n",
              "412        86 0.00%                   0.00%      equal   \n",
              "\n",
              "        Ordered by frequency Strongest word stem            spacy_nouns   \n",
              "0                      proxy               proxy                  proxy  \\\n",
              "1                 web archiv                 web                    web   \n",
              "2                     webarc              webarc             webarchive   \n",
              "3              signific gdpr            signific                   gdpr   \n",
              "4                  seo agenz                 seo                agenzia   \n",
              "..                       ...                 ...                    ...   \n",
              "408  seo web agenz marketing                 seo  agenzia web marketing   \n",
              "409          adwords gestion             adwords               gestione   \n",
              "410           googl pagerank               googl                 google   \n",
              "411     googl cors analytics               googl        corso analytics   \n",
              "412              hosting fre             hosting                hosting   \n",
              "\n",
              "      main_query                                      top_5_queries   \n",
              "0          proxy  proxy, proxy significato, proxy server, proxy ...  \\\n",
              "1            web  web archive, webarchive, archive web, internet...   \n",
              "2     webarchive  web archive, webarchive, archive web, internet...   \n",
              "3    significato  gdpr significato, gdpr acronimo, gdpr, acronim...   \n",
              "4            seo  agenzia seo, agenzia seo milano, agenzie seo m...   \n",
              "..           ...                                                ...   \n",
              "408          seo  agenzie web, agenzie seo, sacheli srl, web age...   \n",
              "409      adwords  gestione campagne adwords, gestione campagne g...   \n",
              "410       google               pagerank, page rank, google pagerank   \n",
              "411       google  corso google analytics, corsi google analytics...   \n",
              "412      hosting  hosting gratis, hosting gratuito, creare un bl...   \n",
              "\n",
              "                        folder_lv1                 folder_lv2 folder_lv3   \n",
              "0                     proxy-server                                        \\\n",
              "1                      web-archive                                         \n",
              "2                      web-archive                                         \n",
              "3                             gdpr                                         \n",
              "4                      servizi-seo                    agenzia              \n",
              "..                             ...                        ...        ...   \n",
              "408                       about-me     collaborazioni-agenzie              \n",
              "409              pubblicita-google  gestione-campagne-adwords              \n",
              "410                       pagerank                                         \n",
              "411                          corsi     corso-google-analytics              \n",
              "412  blog-hosting-wordpress-gratis                                         \n",
              "\n",
              "    Brand/Non-branded  \n",
              "0         Non-branded  \n",
              "1         Non-branded  \n",
              "2         Non-branded  \n",
              "3         Non-branded  \n",
              "4         Non-branded  \n",
              "..                ...  \n",
              "408       Non-branded  \n",
              "409       Non-branded  \n",
              "410       Non-branded  \n",
              "411       Non-branded  \n",
              "412       Non-branded  \n",
              "\n",
              "[413 rows x 18 columns]"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_df['clicks'].sum()\n",
        "total_impressions = final_df['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "final_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>clicks</th>\n",
              "      <th>ctr</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>agenzia seo milano</th>\n",
              "      <th>https://www.evemilano.com/</th>\n",
              "      <td>1</td>\n",
              "      <td>0.54%</td>\n",
              "      <td>186</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>agenzia seo milano</th>\n",
              "      <th>https://www.evemilano.com/servizi-seo/agenzia/</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>672</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>consulenza seo</th>\n",
              "      <th>https://www.evemilano.com/</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>385</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>consulenza seo</th>\n",
              "      <th>https://www.evemilano.com/servizi-seo/</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1204</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>google adwords costi</th>\n",
              "      <th>https://www.evemilano.com/pubblicita-google/costo-adwords/</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>157</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>google adwords costi</th>\n",
              "      <th>https://www.evemilano.com/quanto-investire-google-adwords/</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>123</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                         clicks   \n",
              "query                page                                                         \n",
              "agenzia seo milano   https://www.evemilano.com/                               1  \\\n",
              "agenzia seo milano   https://www.evemilano.com/servizi-seo/agenzia/           0   \n",
              "consulenza seo       https://www.evemilano.com/                               0   \n",
              "consulenza seo       https://www.evemilano.com/servizi-seo/                   0   \n",
              "google adwords costi https://www.evemilano.com/pubblicita-google/cos...       0   \n",
              "google adwords costi https://www.evemilano.com/quanto-investire-goog...       0   \n",
              "\n",
              "                                                                          ctr   \n",
              "query                page                                                       \n",
              "agenzia seo milano   https://www.evemilano.com/                         0.54%  \\\n",
              "agenzia seo milano   https://www.evemilano.com/servizi-seo/agenzia/     0.00%   \n",
              "consulenza seo       https://www.evemilano.com/                         0.00%   \n",
              "consulenza seo       https://www.evemilano.com/servizi-seo/             0.00%   \n",
              "google adwords costi https://www.evemilano.com/pubblicita-google/cos... 0.00%   \n",
              "google adwords costi https://www.evemilano.com/quanto-investire-goog... 0.00%   \n",
              "\n",
              "                                                                         impressions   \n",
              "query                page                                                              \n",
              "agenzia seo milano   https://www.evemilano.com/                                  186  \\\n",
              "agenzia seo milano   https://www.evemilano.com/servizi-seo/agenzia/              672   \n",
              "consulenza seo       https://www.evemilano.com/                                  385   \n",
              "consulenza seo       https://www.evemilano.com/servizi-seo/                     1204   \n",
              "google adwords costi https://www.evemilano.com/pubblicita-google/cos...          157   \n",
              "google adwords costi https://www.evemilano.com/quanto-investire-goog...          123   \n",
              "\n",
              "                                                                         position  \n",
              "query                page                                                          \n",
              "agenzia seo milano   https://www.evemilano.com/                                46  \n",
              "agenzia seo milano   https://www.evemilano.com/servizi-seo/agenzia/            46  \n",
              "consulenza seo       https://www.evemilano.com/                                64  \n",
              "consulenza seo       https://www.evemilano.com/servizi-seo/                    82  \n",
              "google adwords costi https://www.evemilano.com/pubblicita-google/cos...        17  \n",
              "google adwords costi https://www.evemilano.com/quanto-investire-goog...        95  "
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Cannibalizzazione\n",
        "df_cann = final_df.copy()\n",
        "# Calcola la somma delle 'impressions' per ogni 'query'\n",
        "impressions_sums = df_cann.groupby('query')['impressions'].sum()\n",
        "# Crea una nuova colonna nel DataFrame per queste somme\n",
        "df_cann['impressions_sum'] = df_cann['query'].map(impressions_sums)\n",
        "# Crea la tabella pivot utilizzando anche la nuova colonna\n",
        "cann_pivot_table = df_cann.pivot_table(index=['query', 'page'], values=['clicks', 'impressions', 'ctr', 'position', 'impressions_sum'])\n",
        "# Ordina le righe in base alla somma delle 'impressions', quindi in base alle 'impressions' per pagina\n",
        "cann_pivot_table_sorted = cann_pivot_table.sort_values(['impressions_sum', 'impressions','query'], ascending=[False, False, False])\n",
        "# Filtra le righe per mostrare solo le query che appaiono almeno due volte\n",
        "cann_filtered_table = cann_pivot_table_sorted.groupby('query').filter(lambda x: len(x) > 1)\n",
        "# Imposta l'opzione 'multi_sparse' su False per ripetere query in ogni riga\n",
        "pd.set_option('display.multi_sparse', False)\n",
        "# Rimuovi la colonna 'impressions_sum'\n",
        "cann_filtered_table = cann_filtered_table.drop(columns='impressions_sum')\n",
        "# ordina e formatta\n",
        "cann_filtered_table = cann_filtered_table.sort_values(by=['query', 'page', 'clicks', 'impressions', 'ctr', 'position'])\n",
        "# Formatta 'clicks', 'impressions', e 'position' come interi\n",
        "cann_filtered_table['clicks'] = cann_filtered_table['clicks'].astype(int)\n",
        "cann_filtered_table['impressions'] = cann_filtered_table['impressions'].astype(int)\n",
        "cann_filtered_table['position'] = cann_filtered_table['position'].astype(int)\n",
        "# Formatta 'ctr' con 5 decimali\n",
        "# Visualizza il DataFrame aggiornato\n",
        "cann_filtered_table.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "2qG0PR2diFUs"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 162\n",
            "Somma totale delle impressions: 103813\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>Char</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>5</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>8</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>proxy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>signific gdpr</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>87</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>seo agenz</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>proxy significato</td>\n",
              "      <td>17</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>2</td>\n",
              "      <td>2401</td>\n",
              "      <td>9</td>\n",
              "      <td>0.08%</td>\n",
              "      <td>signific proxy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>gdpr acronimo</td>\n",
              "      <td>13</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>1</td>\n",
              "      <td>1915</td>\n",
              "      <td>10</td>\n",
              "      <td>0.05%</td>\n",
              "      <td>gdpr acronim</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>408</th>\n",
              "      <td>agenzia seo web marketing</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.evemilano.com/about-me/collaborazi...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>88</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>seo web agenz marketing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>409</th>\n",
              "      <td>gestione adwords</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/ge...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>45</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>adwords gestion</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>410</th>\n",
              "      <td>google pagerank</td>\n",
              "      <td>15</td>\n",
              "      <td>https://www.evemilano.com/pagerank/</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>27</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>googl pagerank</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>411</th>\n",
              "      <td>corso di google analytics</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.evemilano.com/corsi/corso-google-a...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>35</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>googl cors analytics</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>412</th>\n",
              "      <td>hosting free</td>\n",
              "      <td>12</td>\n",
              "      <td>https://www.evemilano.com/blog-hosting-wordpre...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>86</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>hosting fre</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>363 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                         query  Char   \n",
              "0                        proxy     5  \\\n",
              "3             gdpr significato    16   \n",
              "4                  agenzia seo    11   \n",
              "5            proxy significato    17   \n",
              "6                gdpr acronimo    13   \n",
              "..                         ...   ...   \n",
              "408  agenzia seo web marketing    25   \n",
              "409           gestione adwords    16   \n",
              "410            google pagerank    15   \n",
              "411  corso di google analytics    25   \n",
              "412               hosting free    12   \n",
              "\n",
              "                                                  page  clicks  impressions   \n",
              "0              https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "3                      https://www.evemilano.com/gdpr/       0         3074   \n",
              "4       https://www.evemilano.com/servizi-seo/agenzia/       0         2567   \n",
              "5              https://www.evemilano.com/proxy-server/       2         2401   \n",
              "6                      https://www.evemilano.com/gdpr/       1         1915   \n",
              "..                                                 ...     ...          ...   \n",
              "408  https://www.evemilano.com/about-me/collaborazi...       0          100   \n",
              "409  https://www.evemilano.com/pubblicita-google/ge...       0          100   \n",
              "410                https://www.evemilano.com/pagerank/       0          100   \n",
              "411  https://www.evemilano.com/corsi/corso-google-a...       0          100   \n",
              "412  https://www.evemilano.com/blog-hosting-wordpre...       0          100   \n",
              "\n",
              "     position   ctr     Ordered by frequency  \n",
              "0           8 0.01%                    proxy  \n",
              "3           9 0.00%            signific gdpr  \n",
              "4          87 0.00%                seo agenz  \n",
              "5           9 0.08%           signific proxy  \n",
              "6          10 0.05%             gdpr acronim  \n",
              "..        ...   ...                      ...  \n",
              "408        88 0.00%  seo web agenz marketing  \n",
              "409        45 0.00%          adwords gestion  \n",
              "410        27 0.00%           googl pagerank  \n",
              "411        35 0.00%     googl cors analytics  \n",
              "412        86 0.00%              hosting fre  \n",
              "\n",
              "[363 rows x 8 columns]"
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Foglio Improve, solo posizioni > 6\n",
        "df_improve = final_df.copy()\n",
        "df_improve = df_improve[df_improve['position'] >= 6]\n",
        "# rimuovi colonne inutili\n",
        "df_improve = df_improve.drop(columns=['website avg ctr by pos', 'Brand/Non-branded', 'comparison', 'main_query','top_5_queries','Strongest word stem','spacy_nouns','folder_lv1', 'folder_lv2', 'folder_lv3'])\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = df_improve['clicks'].sum()\n",
        "total_impressions = df_improve['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "df_improve"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Debug - URL: https://www.evemilano.com/web-archive/ - Debug - Include: True - Exclude: False\n",
            "{'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36'}\n",
            "Request 1/1 - https://www.evemilano.com/web-archive/ - Cos’è Web Archive? Scopri i suoi utilizzi pratici\n",
            "Debug - URL: https://www.evemilano.com/proxy-server/ - Debug - Include: True - Exclude: False\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>Char</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>main_query</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>tag title</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>5</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>8</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>4</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>10</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>4</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>significato</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, acronim...</td>\n",
              "      <td>gdpr</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>87</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia seo, agenzia seo milano, agenzie seo m...</td>\n",
              "      <td>servizi-seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              query  Char                                            page   \n",
              "0             proxy     5         https://www.evemilano.com/proxy-server/  \\\n",
              "1       web archive    11          https://www.evemilano.com/web-archive/   \n",
              "2        webarchive    10          https://www.evemilano.com/web-archive/   \n",
              "3  gdpr significato    16                 https://www.evemilano.com/gdpr/   \n",
              "4       agenzia seo    11  https://www.evemilano.com/servizi-seo/agenzia/   \n",
              "\n",
              "   clicks  impressions  position   ctr  website avg ctr by pos comparison   \n",
              "0       1         6930         8 0.01%                   0.22%      lower  \\\n",
              "1      23         6059         4 0.38%                   1.08%      lower   \n",
              "2      11         4216         4 0.26%                   1.08%      lower   \n",
              "3       0         3074         9 0.00%                   0.24%      lower   \n",
              "4       0         2567        87 0.00%                   0.00%      equal   \n",
              "\n",
              "  Ordered by frequency Strongest word stem spacy_nouns   main_query   \n",
              "0                proxy               proxy       proxy        proxy  \\\n",
              "1           web archiv                 web         web          web   \n",
              "2               webarc              webarc  webarchive   webarchive   \n",
              "3        signific gdpr            signific        gdpr  significato   \n",
              "4            seo agenz                 seo     agenzia          seo   \n",
              "\n",
              "                                       top_5_queries    folder_lv1 folder_lv2   \n",
              "0  proxy, proxy significato, proxy server, proxy ...  proxy-server             \\\n",
              "1  web archive, webarchive, archive web, internet...   web-archive              \n",
              "2  web archive, webarchive, archive web, internet...   web-archive              \n",
              "3  gdpr significato, gdpr acronimo, gdpr, acronim...          gdpr              \n",
              "4  agenzia seo, agenzia seo milano, agenzie seo m...   servizi-seo    agenzia   \n",
              "\n",
              "  folder_lv3 Brand/Non-branded   \n",
              "0                  Non-branded  \\\n",
              "1                  Non-branded   \n",
              "2                  Non-branded   \n",
              "3                  Non-branded   \n",
              "4                  Non-branded   \n",
              "\n",
              "                                           tag title  \n",
              "0                                                     \n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici  \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici  \n",
              "3                                                     \n",
              "4                                                     "
            ]
          },
          "execution_count": 47,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per ottenere un User-Agent casuale   \n",
        "def get_random_user_agent():\n",
        "    ua = UserAgent()\n",
        "    if user_agent_option == 'random':\n",
        "        return ua.random\n",
        "    elif user_agent_option == 'chrome':\n",
        "        return ua.chrome\n",
        "    elif user_agent_option == 'fixed':\n",
        "        return 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36'\n",
        "    else:\n",
        "        print(\"Opzione User-Agent non valida. Utilizzo di un User-Agent casuale.\")\n",
        "        return ua.random\n",
        "    \n",
        "# Funzione per estrarre il tag title da un URL\n",
        "def extract_title(url, session):\n",
        "    headers = {'User-Agent': get_random_user_agent()}\n",
        "    try:\n",
        "        response = session.get(url, headers=headers)\n",
        "        response.raise_for_status()\n",
        "        if 'text/html' not in response.headers.get('Content-Type', ''):\n",
        "            print(f\"Skipping non-HTML content at {url}\")\n",
        "            return None\n",
        "        #soup = BeautifulSoup(response.content, 'html.parser')\n",
        "\n",
        "        try:\n",
        "            soup = BeautifulSoup(response.content, 'html.parser', from_encoding=response.encoding)\n",
        "            print(headers)\n",
        "        except Exception as e:\n",
        "            print(f\"Error Details:\")\n",
        "            print(f\"  - URL: {url}\")\n",
        "            print(f\"  - Exception Type: {type(e).__name__}\")\n",
        "            print(f\"  - Exception Message: {str(e)}\")\n",
        "            if hasattr(e, 'response') and e.response is not None:\n",
        "                print(f\"  - HTTP Status Code: {e.response.status_code}\")\n",
        "                print(f\"  - HTTP Headers: {e.response.headers}\")\n",
        "\n",
        "        title_tag = soup.find('title')\n",
        "        return title_tag.get_text().strip() if title_tag else None\n",
        "    except requests.exceptions.RequestException as e:\n",
        "        print(f\"Error accessing {url}: {e}\")\n",
        "        return None\n",
        "\n",
        "# Funzione per aggiornare raw_dfP con il tag title\n",
        "def update_raw_df_with_titles(raw_dfP, counter_max, include=\"\", exclude=\"\"):\n",
        "    # Converti le stringhe include ed exclude in liste, se non sono vuote\n",
        "    include_list = None if not include else include.split(\"|\")\n",
        "    exclude_list = exclude.split(\"|\") if exclude else None\n",
        "\n",
        "    session = requests.Session()\n",
        "    raw_dfP['tag title'] = ''\n",
        "    counter = 0\n",
        "    total_requests = min(counter_max, len(raw_dfP))  # Il minimo tra counter_max e la lunghezza di raw_dfP\n",
        "    for i, row in raw_dfP.iterrows():\n",
        "        url = row['page']\n",
        "        # Se include_list è None, ignora il filtro di inclusione\n",
        "        should_include = include_list is None or any(folder in url for folder in include_list)\n",
        "        should_exclude = exclude_list is not None and any(folder in url for folder in exclude_list)\n",
        "\n",
        "        # Aggiungi stampe di debug per verificare il processo di filtraggio\n",
        "        print(f\"Debug - URL: {url} - Debug - Include: {should_include} - Exclude: {should_exclude}\")\n",
        "\n",
        "        # Incrementa il contatore solo se l'URL rispetta i criteri di include ed exclude\n",
        "        if should_include and not should_exclude:\n",
        "            if counter >= counter_max:\n",
        "                break\n",
        "            title = extract_title(url, session)\n",
        "            if title:\n",
        "                raw_dfP.at[i, 'tag title'] = title\n",
        "            print(f'Request {counter+1}/{total_requests} - {url} - {raw_dfP.at[i, \"tag title\"]}')\n",
        "            counter += 1\n",
        "            time.sleep(attesa)  # Rate limiting\n",
        "    session.close()\n",
        "    return raw_dfP\n",
        "\n",
        "# Funzione per eseguire il VLOOKUP-like operation\n",
        "def vlookup_titles_into_merged_df(merged_df7, raw_dfP):\n",
        "    # Creare un dizionario di URL e tag title da raw_dfP\n",
        "    title_dict = pd.Series(raw_dfP['tag title'].values, index=raw_dfP['page']).to_dict()\n",
        "    # Mappare il tag title su merged_df7 usando il dizionario\n",
        "    merged_df7['tag title'] = merged_df7['page'].map(title_dict)\n",
        "    return merged_df7\n",
        "\n",
        "# Eseguire le operazioni\n",
        "# Aggiorna raw_dfP con i tag title, passando le variabili include ed exclude\n",
        "raw_dfP = update_raw_df_with_titles(raw_dfP, counter_max, include, exclude)\n",
        "\n",
        "merged_df7= final_df.copy()\n",
        "\n",
        "# Unire i tag title in merged_df7\n",
        "merged_df7 = vlookup_titles_into_merged_df(merged_df7, raw_dfP)\n",
        "\n",
        "# Visualizzare le prime righe per confermare\n",
        "merged_df7.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>Char</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>main_query</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>tag title</th>\n",
              "      <th>check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>5</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>8</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>4</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>10</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>4</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>significato</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, acronim...</td>\n",
              "      <td>gdpr</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>87</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia seo, agenzia seo milano, agenzie seo m...</td>\n",
              "      <td>servizi-seo</td>\n",
              "      <td>agenzia</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              query  Char                                            page   \n",
              "0             proxy     5         https://www.evemilano.com/proxy-server/  \\\n",
              "1       web archive    11          https://www.evemilano.com/web-archive/   \n",
              "2        webarchive    10          https://www.evemilano.com/web-archive/   \n",
              "3  gdpr significato    16                 https://www.evemilano.com/gdpr/   \n",
              "4       agenzia seo    11  https://www.evemilano.com/servizi-seo/agenzia/   \n",
              "\n",
              "   clicks  impressions  position   ctr  website avg ctr by pos comparison   \n",
              "0       1         6930         8 0.01%                   0.22%      lower  \\\n",
              "1      23         6059         4 0.38%                   1.08%      lower   \n",
              "2      11         4216         4 0.26%                   1.08%      lower   \n",
              "3       0         3074         9 0.00%                   0.24%      lower   \n",
              "4       0         2567        87 0.00%                   0.00%      equal   \n",
              "\n",
              "  Ordered by frequency Strongest word stem spacy_nouns   main_query   \n",
              "0                proxy               proxy       proxy        proxy  \\\n",
              "1           web archiv                 web         web          web   \n",
              "2               webarc              webarc  webarchive   webarchive   \n",
              "3        signific gdpr            signific        gdpr  significato   \n",
              "4            seo agenz                 seo     agenzia          seo   \n",
              "\n",
              "                                       top_5_queries    folder_lv1 folder_lv2   \n",
              "0  proxy, proxy significato, proxy server, proxy ...  proxy-server             \\\n",
              "1  web archive, webarchive, archive web, internet...   web-archive              \n",
              "2  web archive, webarchive, archive web, internet...   web-archive              \n",
              "3  gdpr significato, gdpr acronimo, gdpr, acronim...          gdpr              \n",
              "4  agenzia seo, agenzia seo milano, agenzie seo m...   servizi-seo    agenzia   \n",
              "\n",
              "  folder_lv3 Brand/Non-branded   \n",
              "0                  Non-branded  \\\n",
              "1                  Non-branded   \n",
              "2                  Non-branded   \n",
              "3                  Non-branded   \n",
              "4                  Non-branded   \n",
              "\n",
              "                                           tag title   \n",
              "0                                                     \\\n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici   \n",
              "3                                                      \n",
              "4                                                      \n",
              "\n",
              "                                          check  \n",
              "0                                          N.A.  \n",
              "1  Missing 3: web.archive, internet, webarchive  \n",
              "2  Missing 3: web.archive, internet, webarchive  \n",
              "3                                          N.A.  \n",
              "4                                          N.A.  "
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per verificare la presenza delle parole chiave\n",
        "def check_keywords_in_title(row):\n",
        "    # Rimuovi la punteggiatura dalle parole chiave e convertile in minuscolo, poi rimuovi le stopwords.\n",
        "    keywords = set(word.lower().strip(string.punctuation) for phrase in row['top_5_queries'].split(',') \n",
        "                   for word in phrase.lower().split() if word.lower().strip(string.punctuation) not in stopwords)\n",
        "    \n",
        "    # Rimuovi la punteggiatura dal titolo, convertilo in minuscolo e rimuovi le stopwords.\n",
        "    title_words = set(word.lower().strip(string.punctuation) for word in row['tag title'].split() \n",
        "                      if word.lower().strip(string.punctuation) not in stopwords) \\\n",
        "                  if pd.notnull(row['tag title']) else set()\n",
        "    \n",
        "    # Se il titolo è vuoto, restituisci 'N.A.'\n",
        "    if not title_words:\n",
        "        return 'N.A.'\n",
        "\n",
        "    # Trova quali parole chiave mancano nel titolo\n",
        "    missing = keywords - title_words\n",
        "\n",
        "    # Restituisci il risultato appropriato\n",
        "    if not missing:\n",
        "        return 'Ok'\n",
        "    else:\n",
        "        return f\"Missing {len(missing)}: {', '.join(missing)}\"\n",
        "\n",
        "# Applica la funzione a ciascuna riga del DataFrame e crea la colonna 'check'\n",
        "merged_df7['check'] = merged_df7.apply(check_keywords_in_title, axis=1)\n",
        "\n",
        "# Mostra le prime righe per confermare che la colonna 'check' è stata creata correttamente\n",
        "merged_df7.head()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {},
      "outputs": [],
      "source": [
        "# riorganizza colonne del foglio \"Check tag title\"\n",
        "# Crea una lista delle colonne nell'ordine desiderato\n",
        "column_order = [\"query\", \"page\", \"clicks\", \"impressions\", \"position\", \"ctr\",\"website avg ctr by pos\",\"comparison\", \"Brand/Non-branded\",\"main_query\",\"top_5_queries\",\"tag title\",\"check\",]\n",
        "merged_df8 = merged_df7.reindex(columns=column_order)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l4p0DYQy2_Y4",
        "outputId": "7681f890-e40f-4fd5-bb8f-baf350256f5e"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>main_query</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>tag title</th>\n",
              "      <th>tag title len</th>\n",
              "      <th>check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>8</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>4</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>4</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions   \n",
              "0        proxy  https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1  web archive   https://www.evemilano.com/web-archive/      23         6059   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/      11         4216   \n",
              "\n",
              "   position   ctr  website avg ctr by pos comparison Brand/Non-branded   \n",
              "0         8 0.01%                   0.22%      lower       Non-branded  \\\n",
              "1         4 0.38%                   1.08%      lower       Non-branded   \n",
              "2         4 0.26%                   1.08%      lower       Non-branded   \n",
              "\n",
              "   main_query                                      top_5_queries   \n",
              "0       proxy  proxy, proxy significato, proxy server, proxy ...  \\\n",
              "1         web  web archive, webarchive, archive web, internet...   \n",
              "2  webarchive  web archive, webarchive, archive web, internet...   \n",
              "\n",
              "                                           tag title  tag title len   \n",
              "0                                                                 0  \\\n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "\n",
              "                                          check  \n",
              "0                                          N.A.  \n",
              "1  Missing 3: web.archive, internet, webarchive  \n",
              "2  Missing 3: web.archive, internet, webarchive  "
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# conta caratteri\n",
        "# Creare la nuova colonna \"tag title length\" con la lunghezza della stringa in \"tag title\"\n",
        "merged_df8.insert(merged_df8.columns.get_loc(\"tag title\")+1, \"tag title len\", merged_df8[\"tag title\"].apply(lambda x: len(str(x))))\n",
        "merged_df8.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yppDziF_3MIP",
        "outputId": "0d438ce8-8157-409f-f7f5-741971bff6d9"
      },
      "outputs": [],
      "source": [
        "# ottieni tag title da gpt\n",
        "#################################\n",
        "# setup richiesta gtp\n",
        "# nuovo dataframe\n",
        "merged_df8b = merged_df8.copy()\n",
        "\n",
        "# creo dizionario delle risposte di gpt per evitare chiamate doppie\n",
        "gpt_responses = {}\n",
        "# Inizializza un contatore per il numero totale di token\n",
        "total_tokens_used = 0\n",
        "# Inizializza un contatore per le chiamate API effettive\n",
        "actual_api_calls = 0\n",
        "\n",
        "def improve_tag_title(row, gpt_responses):\n",
        "    global total_tokens_used  , actual_api_calls      \n",
        "    top_5_queries = row['top_5_queries']\n",
        "\n",
        "    # Ottieni il tag title e l'URL dalla riga corrente\n",
        "    tag_title = row[\"tag title\"]\n",
        "    page_url = row[\"page\"]\n",
        "\n",
        "    # Controllo se tag_title è presente e non vuoto\n",
        "    if not tag_title:\n",
        "        return None\n",
        "\n",
        "    # Controllo per saltare la chiamata GPT quando comparison è 'greater' o check è 'Ok'\n",
        "    #if row[\"comparison\"] == \"greater\" or \"Missing\" not in row[\"check\"]:\n",
        "    #    #return row[\"tag title\"]\n",
        "    #    return None\n",
        "\n",
        "    # Verifica se l'URL è già stato processato\n",
        "    if page_url in gpt_responses:\n",
        "        return gpt_responses[page_url]  # Usa il tag title migliorato se disponibile\n",
        "\n",
        "    prompt = (      \n",
        "        f\"Sto cercando di migliorare il tag title per una pagina web. Il tag title attuale è: {tag_title}.\\n\"\n",
        "        f\"Le parole chiave più importanti e pertinenti alla pagina sono: {top_5_queries}.\\n\"\n",
        "        f\"Crea un nuovo tag title che incorpori queste parole chiave in modo naturale e coinvolgente. Il tag title dovrebbe:\\n\"\n",
        "        f\"1) avere al massimo 65 caratteri, spazi inclusi. Assicurati che la tua risposta non superi questo limite.\\n\"\n",
        "        f\"2) non includere il nome del brand.\\n\"\n",
        "        f\"3) non utilizzare lettere maiuscole inutili, simboli, apici o virgolette.\\n\"\n",
        "        f\"4) essere presentato da solo, senza alcuna spiegazione o contenuto aggiuntivo.\\n\"\n",
        "        f\"5) essere scritto nella stessa lingua del tag title fornito.\\n\"\n",
        "        f\"Per favore, segui scrupolosamente tutte queste regole nella tua risposta. Se non sei sicuro, conferma che hai seguito tutte le regole nel tuo messaggio.\"\n",
        "    )\n",
        "\n",
        "    try:\n",
        "        # Modifica la struttura dell'input per utilizzare il formato chat\n",
        "        response = openai.ChatCompletion.create(\n",
        "        #from openai import OpenAI\n",
        "        #client = OpenAI()\n",
        "        #response = client.completion.create(\n",
        "            model=\"gpt-4\",\n",
        "            #model=\"gpt-4-1106-preview\",\t\n",
        "            messages=[\n",
        "                {\"role\": \"system\", \"content\": \"Comportati come se fossi un SEO copywriter professionista.\"},\n",
        "                {\"role\": \"user\", \"content\": prompt}\n",
        "            ],\n",
        "            max_tokens=1000,\n",
        "            temperature=0.4,\n",
        "            top_p=1,\n",
        "            frequency_penalty=0.1,\n",
        "            presence_penalty=0.1\n",
        "        )\n",
        "         # Aggiungi il numero di token utilizzati per questa risposta al totale\n",
        "        total_tokens_used += response['usage']['total_tokens'] \n",
        "        actual_api_calls += 1  # Incrementa il contatore per le chiamate API effettive\n",
        "\n",
        "    # eccezioni errori gpt\n",
        "    except Exception as e:\n",
        "        print(f\"Error occured while calling OpenAI API: {e}\")\n",
        "        return None\n",
        "\n",
        "    improved_tag_title = response.choices[0].message.content.strip().lower()\n",
        "    #gpt_responses[tag_title] = improved_tag_title\n",
        "    # modifica per usare come chiave di confronto l'URL\n",
        "    gpt_responses[page_url] = improved_tag_title\n",
        "\n",
        "# SLEEP\n",
        "    time.sleep(1)\n",
        "    #time.sleep(5)\n",
        "    return improved_tag_title"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Processed row 413/413 | 2023-11-24 09:42:16 | 284 tokens.\n",
            "Total tokens used: 284\n",
            "Actual API calls made: 1\n"
          ]
        }
      ],
      "source": [
        "# chiamate API gpt\n",
        "# Dopo la definizione della funzione, esegui il loop per migliorare i tag title\n",
        "merged_df8b.reset_index(drop=True, inplace=True)\n",
        "processed_rows = 0\n",
        "\n",
        "for index, row in merged_df8b.iterrows():\n",
        "    # Passa la riga corrente e il dizionario delle risposte a improve_tag_title\n",
        "    new_tag_title = improve_tag_title(row, gpt_responses)\n",
        "\n",
        "    # Assegna il nuovo tag title alla riga corrente\n",
        "    merged_df8b.at[index, \"new tag title\"] = new_tag_title\n",
        "    # Aggiorna il dizionario gpt_responses con la risposta ricevuta\n",
        "    gpt_responses[row[\"page\"]] = new_tag_title\n",
        "    # Stampa il progresso\n",
        "    #print(f\"\\rProcessed row {index+1}/{len(merged_df8b)} | {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} | {total_tokens_used} tokens.\", end=\"\", flush=True)\n",
        "    processed_rows += 1  # Incrementa il contatore di righe processate\n",
        "    print(f\"\\rProcessed row {processed_rows}/{len(merged_df8b)} | {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} | {total_tokens_used} tokens.\", end=\"\", flush=True)\n",
        "\n",
        "# Aggiungi qui il nuovo blocco di codice per assicurarti di aggiornare tutte le righe\n",
        "for index, row in merged_df8b.iterrows():\n",
        "    page_url = row[\"page\"]\n",
        "    if page_url in gpt_responses:\n",
        "        merged_df8b.at[index, \"new tag title\"] = gpt_responses[page_url]\n",
        "\n",
        "\n",
        "# Stampa il totale dei token utilizzati\n",
        "print(f\"\\nTotal tokens used: {total_tokens_used}\")\n",
        "print(f\"Actual API calls made: {actual_api_calls}\")\n",
        "\n",
        "# https://platform.openai.com/account/usage"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 483\n",
            "Somma totale delle impressions: 125299\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>main_query</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>tag title</th>\n",
              "      <th>tag title len</th>\n",
              "      <th>check</th>\n",
              "      <th>new tag title</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>8</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>4</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "      <td>scopri web archive: utilizzo pratico di webarc...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>4</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "      <td>scopri web archive: utilizzo pratico di webarc...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions   \n",
              "0        proxy  https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1  web archive   https://www.evemilano.com/web-archive/      23         6059   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/      11         4216   \n",
              "\n",
              "   position   ctr  website avg ctr by pos comparison Brand/Non-branded   \n",
              "0         8 0.01%                   0.22%      lower       Non-branded  \\\n",
              "1         4 0.38%                   1.08%      lower       Non-branded   \n",
              "2         4 0.26%                   1.08%      lower       Non-branded   \n",
              "\n",
              "   main_query                                      top_5_queries   \n",
              "0       proxy  proxy, proxy significato, proxy server, proxy ...  \\\n",
              "1         web  web archive, webarchive, archive web, internet...   \n",
              "2  webarchive  web archive, webarchive, archive web, internet...   \n",
              "\n",
              "                                           tag title  tag title len   \n",
              "0                                                                 0  \\\n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "\n",
              "                                          check   \n",
              "0                                          N.A.  \\\n",
              "1  Missing 3: web.archive, internet, webarchive   \n",
              "2  Missing 3: web.archive, internet, webarchive   \n",
              "\n",
              "                                       new tag title  \n",
              "0                                               None  \n",
              "1  scopri web archive: utilizzo pratico di webarc...  \n",
              "2  scopri web archive: utilizzo pratico di webarc...  "
            ]
          },
          "execution_count": 53,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# ordina le colonne del foglio check tag title\n",
        "column_order3 = [\n",
        "    \"query\",\n",
        "    \"page\",\n",
        "    \"clicks\",\n",
        "    \"impressions\",\n",
        "    \"position\",\n",
        "    \"ctr\",\n",
        "    \"website avg ctr by pos\",\n",
        "    \"comparison\",\n",
        "    \"Brand/Non-branded\",\n",
        "    \"main_query\",\n",
        "    \"top_5_queries\",\n",
        "    \"tag title\",\n",
        "    \"tag title len\",\n",
        "    \"check\",\n",
        "    \"new tag title\"\n",
        "]\n",
        "# reindex\n",
        "merged_df9 = merged_df8b.reindex(columns=column_order3)\n",
        "\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = merged_df9['clicks'].sum()\n",
        "total_impressions = merged_df9['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "merged_df9.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Pulizia new tag title\n",
        "def clean_and_capitalize(x):\n",
        "    if pd.isna(x) or x is None:\n",
        "        return None\n",
        "    else:\n",
        "        # Rimuovi eventuali virgolette singole e doppie e converti la prima lettera di ogni parola in maiuscolo\n",
        "        x = x.replace('\"', '').replace(\"'\", '').capitalize()\n",
        "        # Rimuovi eventuali segni di punteggiatura alla fine della stringa (compresi i punti)\n",
        "        x = x.rstrip(string.punctuation.replace('.', ''))\n",
        "        return x\n",
        "\n",
        "merged_df9['new tag title'] = merged_df9['new tag title'].apply(clean_and_capitalize)\n",
        "#display(merged_df9)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1lzLXAgX4OVt",
        "outputId": "0ee30891-2fca-455b-db85-a1fd65d79c1b"
      },
      "outputs": [],
      "source": [
        "# Conta caratteri new tag title\n",
        "# Creare la nuova colonna \"tag title length\" con la lunghezza della stringa in \"tag title\"\n",
        "merged_df9b=merged_df9.copy()\n",
        "merged_df9b.insert(merged_df9b.columns.get_loc(\"new tag title\")+1, \"new tag title len\", merged_df9b[\"new tag title\"].apply(lambda x: len(str(x))))\n",
        "#merged_df9b.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7qjtrcUY5WDQ",
        "outputId": "123dffe0-72c6-4005-c3ea-9bb81d4a9049"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 483\n",
            "Somma totale delle impressions: 125299\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
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              "      <th>check</th>\n",
              "      <th>new tag title</th>\n",
              "      <th>new tag title len</th>\n",
              "      <th>diff</th>\n",
              "      <th>diff_check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>8</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>0.22%</td>\n",
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              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>4</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "      <td>Scopri web archive: utilizzo pratico di webarc...</td>\n",
              "      <td>69</td>\n",
              "      <td>20</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>4</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "      <td>Scopri web archive: utilizzo pratico di webarc...</td>\n",
              "      <td>69</td>\n",
              "      <td>20</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, acronim...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>87</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>agenzia seo, agenzia seo milano, agenzie seo m...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>408</th>\n",
              "      <td>agenzia seo web marketing</td>\n",
              "      <td>https://www.evemilano.com/about-me/collaborazi...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>88</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>agenzie web, agenzie seo, sacheli srl, web age...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>409</th>\n",
              "      <td>gestione adwords</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/ge...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>45</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.04%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gestione campagne adwords, gestione campagne g...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>410</th>\n",
              "      <td>google pagerank</td>\n",
              "      <td>https://www.evemilano.com/pagerank/</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>27</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.09%</td>\n",
              "      <td>lower</td>\n",
              "      <td>pagerank, page rank, google pagerank</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>411</th>\n",
              "      <td>corso di google analytics</td>\n",
              "      <td>https://www.evemilano.com/corsi/corso-google-a...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>35</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.04%</td>\n",
              "      <td>lower</td>\n",
              "      <td>corso google analytics, corsi google analytics...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>412</th>\n",
              "      <td>hosting free</td>\n",
              "      <td>https://www.evemilano.com/blog-hosting-wordpre...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>86</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>hosting gratis, hosting gratuito, creare un bl...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>413 rows × 16 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                         query   \n",
              "0                        proxy  \\\n",
              "1                  web archive   \n",
              "2                   webarchive   \n",
              "3             gdpr significato   \n",
              "4                  agenzia seo   \n",
              "..                         ...   \n",
              "408  agenzia seo web marketing   \n",
              "409           gestione adwords   \n",
              "410            google pagerank   \n",
              "411  corso di google analytics   \n",
              "412               hosting free   \n",
              "\n",
              "                                                  page  clicks  impressions   \n",
              "0              https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1               https://www.evemilano.com/web-archive/      23         6059   \n",
              "2               https://www.evemilano.com/web-archive/      11         4216   \n",
              "3                      https://www.evemilano.com/gdpr/       0         3074   \n",
              "4       https://www.evemilano.com/servizi-seo/agenzia/       0         2567   \n",
              "..                                                 ...     ...          ...   \n",
              "408  https://www.evemilano.com/about-me/collaborazi...       0          100   \n",
              "409  https://www.evemilano.com/pubblicita-google/ge...       0          100   \n",
              "410                https://www.evemilano.com/pagerank/       0          100   \n",
              "411  https://www.evemilano.com/corsi/corso-google-a...       0          100   \n",
              "412  https://www.evemilano.com/blog-hosting-wordpre...       0          100   \n",
              "\n",
              "     position   ctr  website avg ctr by pos comparison   \n",
              "0           8 0.01%                   0.22%      lower  \\\n",
              "1           4 0.38%                   1.08%      lower   \n",
              "2           4 0.26%                   1.08%      lower   \n",
              "3           9 0.00%                   0.24%      lower   \n",
              "4          87 0.00%                   0.00%      equal   \n",
              "..        ...   ...                     ...        ...   \n",
              "408        88 0.00%                   0.00%      equal   \n",
              "409        45 0.00%                   0.04%      lower   \n",
              "410        27 0.00%                   0.09%      lower   \n",
              "411        35 0.00%                   0.04%      lower   \n",
              "412        86 0.00%                   0.00%      equal   \n",
              "\n",
              "                                         top_5_queries   \n",
              "0    proxy, proxy significato, proxy server, proxy ...  \\\n",
              "1    web archive, webarchive, archive web, internet...   \n",
              "2    web archive, webarchive, archive web, internet...   \n",
              "3    gdpr significato, gdpr acronimo, gdpr, acronim...   \n",
              "4    agenzia seo, agenzia seo milano, agenzie seo m...   \n",
              "..                                                 ...   \n",
              "408  agenzie web, agenzie seo, sacheli srl, web age...   \n",
              "409  gestione campagne adwords, gestione campagne g...   \n",
              "410               pagerank, page rank, google pagerank   \n",
              "411  corso google analytics, corsi google analytics...   \n",
              "412  hosting gratis, hosting gratuito, creare un bl...   \n",
              "\n",
              "                                             tag title  tag title len   \n",
              "0                                                                   0  \\\n",
              "1    Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2    Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "3                                                                   0   \n",
              "4                                                                   0   \n",
              "..                                                 ...            ...   \n",
              "408                                                                 0   \n",
              "409                                                                 0   \n",
              "410                                                                 0   \n",
              "411                                                                 0   \n",
              "412                                                                 0   \n",
              "\n",
              "                                            check   \n",
              "0                                            N.A.  \\\n",
              "1    Missing 3: web.archive, internet, webarchive   \n",
              "2    Missing 3: web.archive, internet, webarchive   \n",
              "3                                            N.A.   \n",
              "4                                            N.A.   \n",
              "..                                            ...   \n",
              "408                                          N.A.   \n",
              "409                                          N.A.   \n",
              "410                                          N.A.   \n",
              "411                                          N.A.   \n",
              "412                                          N.A.   \n",
              "\n",
              "                                         new tag title  new tag title len   \n",
              "0                                                 None                  4  \\\n",
              "1    Scopri web archive: utilizzo pratico di webarc...                 69   \n",
              "2    Scopri web archive: utilizzo pratico di webarc...                 69   \n",
              "3                                                 None                  4   \n",
              "4                                                 None                  4   \n",
              "..                                                 ...                ...   \n",
              "408                                               None                  4   \n",
              "409                                               None                  4   \n",
              "410                                               None                  4   \n",
              "411                                               None                  4   \n",
              "412                                               None                  4   \n",
              "\n",
              "     diff       diff_check  \n",
              "0       4             N.A.  \n",
              "1      20  From Opt to Opt  \n",
              "2      20  From Opt to Opt  \n",
              "3       4             N.A.  \n",
              "4       4             N.A.  \n",
              "..    ...              ...  \n",
              "408     4             N.A.  \n",
              "409     4             N.A.  \n",
              "410     4             N.A.  \n",
              "411     4             N.A.  \n",
              "412     4             N.A.  \n",
              "\n",
              "[413 rows x 16 columns]"
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Calcolo differenza tag title\n",
        "merged_df10 = merged_df9b.copy()\n",
        "merged_df10.insert(merged_df10.columns.get_loc(\"new tag title len\") + 1, \"diff\", merged_df10[\"new tag title len\"] - merged_df10[\"tag title len\"])\n",
        "\n",
        "# aggiungi colonna diff_check shorter longer\n",
        "\n",
        "# analisi dei nuovi tag title e creazione etichetta diff_check\n",
        "def apply_label(row):\n",
        "    # Aggiungere il controllo per verificare che entrambi i titoli siano stringhe non vuote.\n",
        "    if pd.notnull(row['tag title']) and row['tag title'].strip() and \\\n",
        "       pd.notnull(row['new tag title']) and row['new tag title'].strip():\n",
        "        tag_title_len = row['tag title len']\n",
        "        new_tag_title_len = row['new tag title len']\n",
        "\n",
        "        if tag_title_len > 70 and 45 <= new_tag_title_len <= 70:\n",
        "            return \"From Long to Opt\"\n",
        "        elif tag_title_len < 45 and 45 <= new_tag_title_len <= 70:\n",
        "            return \"From Short to Opt\"\n",
        "        elif 45 <= tag_title_len <= 70 and 45 <= new_tag_title_len <= 70:\n",
        "            return \"From Opt to Opt\"\n",
        "        elif tag_title_len > 70 and new_tag_title_len > 70:\n",
        "            return \"From Long to Long\"\n",
        "        elif tag_title_len < 45 and new_tag_title_len > 70:\n",
        "            return \"From Short to Long\"\n",
        "        elif 45 <= tag_title_len <= 70 and new_tag_title_len > 70:\n",
        "            return \"From Opt to Long\"\n",
        "        elif tag_title_len > 70 and new_tag_title_len < 45:\n",
        "            return \"From Long to Short\"\n",
        "        elif tag_title_len < 45 and new_tag_title_len < 45:\n",
        "            return \"From Short to Short\"\n",
        "        elif 45 <= tag_title_len <= 70 and new_tag_title_len < 45:\n",
        "            return \"From Opt to Short\"\n",
        "    # Se una delle colonne è vuota, restituisci \"Unlabeled\" o un altro valore appropriato.\n",
        "    return \"N.A.\"\n",
        "\n",
        "# Applica la funzione solo alle righe con valori non vuoti per le colonne specificate\n",
        "merged_df10['diff_check'] = merged_df10.apply(apply_label, axis=1)\n",
        "\n",
        "\n",
        "# pulizia colonne inutili\n",
        "merged_df10 = merged_df10.drop(columns=['Brand/Non-branded', 'main_query'])\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = merged_df10['clicks'].sum()\n",
        "total_impressions = merged_df10['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "merged_df10\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {},
      "outputs": [],
      "source": [
        "# test 1 pytorch\n",
        "df_torch = merged_df10.copy()\n",
        "\n",
        "if previsioni == 'si':\n",
        "    import torch\n",
        "    import torch.nn as nn\n",
        "    import torch.optim as optim\n",
        "    from torch.utils.data import Dataset, DataLoader\n",
        "    from sklearn.model_selection import train_test_split\n",
        "    from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "    # Preparazione dei dati\n",
        "    # Estrae le colonne 'impressions', 'position', 'ctr' come input e 'clicks' come target\n",
        "    data = df_torch[['impressions','position','ctr']].values\n",
        "    target = df_torch['clicks'].values\n",
        "\n",
        "    # Normalizzazione dei dati e del target\n",
        "    # È importante normalizzare i dati per migliorare le prestazioni e la stabilità dell'addestramento del modello\n",
        "    scaler_x = StandardScaler()\n",
        "    scaler_y = StandardScaler()\n",
        "    # Applicazione della normalizzazione\n",
        "    data = scaler_x.fit_transform(data)\n",
        "    target = scaler_y.fit_transform(target.reshape(-1, 1))\n",
        "\n",
        "    # Divisione dei dati in set di addestramento e di test\n",
        "    # Il 70% dei dati viene utilizzato per l'addestramento, il 30% per il test\n",
        "    data_train, data_test, target_train, target_test = train_test_split(data, target, test_size=0.3, random_state=42)\n",
        "\n",
        "    # Questa classe consente di gestire facilmente i dati durante l'addestramento e il test\n",
        "    class ClickPredictionDataset(Dataset):\n",
        "        def __init__(self, data, target):\n",
        "            self.data = torch.FloatTensor(data)\n",
        "            self.target = torch.FloatTensor(target)\n",
        "\n",
        "        def __len__(self):\n",
        "            return len(self.data)\n",
        "\n",
        "        def __getitem__(self, idx):\n",
        "            return self.data[idx], self.target[idx]\n",
        "\n",
        "    # Creazione di istanze del dataset per addestramento e test\n",
        "    train_dataset = ClickPredictionDataset(data_train, target_train)\n",
        "    test_dataset = ClickPredictionDataset(data_test, target_test)\n",
        "    # Creazione dei DataLoader per gestire i batch di dati durante l'addestramento\n",
        "    train_dataloader = DataLoader(train_dataset, batch_size=100, shuffle=True)\n",
        "    test_dataloader = DataLoader(test_dataset, batch_size=100)\n",
        "\n",
        "    # Creazione del modello\n",
        "    # Definizione del modello di rete neurale\n",
        "    class ClickPredictionModel(nn.Module):\n",
        "        def __init__(self, input_size, hidden_size, output_size):\n",
        "            super(ClickPredictionModel, self).__init__()\n",
        "            self.fc1 = nn.Linear(input_size, hidden_size)  # 1 strato lineare\n",
        "            self.fc2 = nn.Linear(hidden_size, output_size)  # 2 strato lineare\n",
        "\n",
        "        def forward(self, x):\n",
        "            x = torch.relu(self.fc1(x)) # applicazione della funzione di attivazione ReLU\n",
        "            x = self.fc2(x) # output dal secondo strato\n",
        "            return x\n",
        "\n",
        "    # Impostazione delle dimensioni del modello\n",
        "    input_size = data.shape[1]\n",
        "    # \n",
        "    # hidden size 64, 128, 256, 512\n",
        "    hidden_size = 512\n",
        "    output_size = 1\n",
        "    model = ClickPredictionModel(input_size, hidden_size, output_size)\n",
        "\n",
        "    # Verifica se esiste un modello salvato da caricare\n",
        "    try:\n",
        "        model.load_state_dict(torch.load('model.pth'))\n",
        "        print(\"Model loaded successfully\")\n",
        "    except FileNotFoundError:\n",
        "        print(\"No previous model found, starting training from scratch\")\n",
        "    # Imposta il modello in modalità addestramento\n",
        "    model.train()  # Set the model to training mode\n",
        "\n",
        "    # Definizione della funzione di perdita e dell'ottimizzatore\n",
        "    criterion = nn.MSELoss() # Funzione di perdita Mean Squared Error\n",
        "    optimizer = optim.Adam(model.parameters(), lr=0.005) # Addestramento del modello\n",
        "    num_epochs = 100\n",
        "\n",
        "    for epoch in range(num_epochs):\n",
        "        # Fase di addestramento\n",
        "        # Training\n",
        "        model.train()\n",
        "        train_losses = []\n",
        "        for inputs, targets in train_dataloader:\n",
        "            # Forward pass\n",
        "            outputs = model(inputs)\n",
        "            loss = criterion(outputs, targets)\n",
        "\n",
        "            # Backward pass e ottimizzazione\n",
        "            optimizer.zero_grad()\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "\n",
        "            train_losses.append(loss.item())\n",
        "            \n",
        "        # Validation\n",
        "        # Fase di validazione\n",
        "        model.eval()\n",
        "        val_losses = []\n",
        "        with torch.no_grad():\n",
        "            for inputs, targets in test_dataloader:\n",
        "                outputs = model(inputs)\n",
        "                loss = criterion(outputs, targets)\n",
        "                val_losses.append(loss.item())\n",
        "            \n",
        "        if (epoch + 1) % 10 == 0:\n",
        "            print(f'Epoch: {epoch+1}, Training Loss: {np.mean(train_losses):.4f}, Validation Loss: {np.mean(val_losses):.4f}')\n",
        "\n",
        "    # Save the model\n",
        "    torch.save(model.state_dict(), 'model.pth')\n",
        "    model.eval()\n",
        "\n",
        "    # Creazione del set di dati per la posizione 1\n",
        "    data_pos1 = df_torch[['impressions','position','ctr']].copy()\n",
        "    data_pos1['position'] = 1\n",
        "    data_pos1 = scaler_x.transform(data_pos1.values)  # usa lo scaler già addestrato\n",
        "\n",
        "    # Previsione dei click per posizione 1\n",
        "    with torch.no_grad():\n",
        "        inputs = torch.FloatTensor(data_pos1)\n",
        "        predicted_clicks_pos1 = model(inputs).numpy()\n",
        "\n",
        "    # Aggiunta della colonna con la stima dei click per posizione 1 al dataframe\n",
        "    df_torch['estimated_clicks_pos1'] = scaler_y.inverse_transform(predicted_clicks_pos1)\n",
        "    df_torch['estimated_clicks_pos1'] = df_torch['estimated_clicks_pos1'].round().astype(int)\n",
        "    df_torch.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website avg ctr by pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>tag title</th>\n",
              "      <th>tag title len</th>\n",
              "      <th>check</th>\n",
              "      <th>new tag title</th>\n",
              "      <th>new tag title len</th>\n",
              "      <th>diff</th>\n",
              "      <th>diff_check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>1</td>\n",
              "      <td>6930</td>\n",
              "      <td>8</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>23</td>\n",
              "      <td>6059</td>\n",
              "      <td>4</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "      <td>Scopri web archive: utilizzo pratico di webarc...</td>\n",
              "      <td>69</td>\n",
              "      <td>20</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>11</td>\n",
              "      <td>4216</td>\n",
              "      <td>4</td>\n",
              "      <td>0.26%</td>\n",
              "      <td>1.08%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, internet, webarchive</td>\n",
              "      <td>Scopri web archive: utilizzo pratico di webarc...</td>\n",
              "      <td>69</td>\n",
              "      <td>20</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>3074</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, acronim...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2567</td>\n",
              "      <td>87</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>agenzia seo, agenzia seo milano, agenzie seo m...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>proxy significato</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>2</td>\n",
              "      <td>2401</td>\n",
              "      <td>9</td>\n",
              "      <td>0.08%</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>gdpr acronimo</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>1</td>\n",
              "      <td>1915</td>\n",
              "      <td>10</td>\n",
              "      <td>0.05%</td>\n",
              "      <td>0.16%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, acronim...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1774</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.24%</td>\n",
              "      <td>lower</td>\n",
              "      <td>l'indirizzo completo di un sito, trovare indir...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>crawler</td>\n",
              "      <td>https://www.evemilano.com/spider/</td>\n",
              "      <td>0</td>\n",
              "      <td>1516</td>\n",
              "      <td>11</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.20%</td>\n",
              "      <td>lower</td>\n",
              "      <td>crawler, che cos'è uno spider?, che cos'è uno ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>servizi seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/</td>\n",
              "      <td>1</td>\n",
              "      <td>1414</td>\n",
              "      <td>14</td>\n",
              "      <td>0.07%</td>\n",
              "      <td>0.34%</td>\n",
              "      <td>lower</td>\n",
              "      <td>servizi seo, consulenza seo, consulenza seo ma...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             query   \n",
              "0                            proxy  \\\n",
              "1                      web archive   \n",
              "2                       webarchive   \n",
              "3                 gdpr significato   \n",
              "4                      agenzia seo   \n",
              "5                proxy significato   \n",
              "6                    gdpr acronimo   \n",
              "7  l'indirizzo completo di un sito   \n",
              "8                          crawler   \n",
              "9                      servizi seo   \n",
              "\n",
              "                                                page  clicks  impressions   \n",
              "0            https://www.evemilano.com/proxy-server/       1         6930  \\\n",
              "1             https://www.evemilano.com/web-archive/      23         6059   \n",
              "2             https://www.evemilano.com/web-archive/      11         4216   \n",
              "3                    https://www.evemilano.com/gdpr/       0         3074   \n",
              "4     https://www.evemilano.com/servizi-seo/agenzia/       0         2567   \n",
              "5            https://www.evemilano.com/proxy-server/       2         2401   \n",
              "6                    https://www.evemilano.com/gdpr/       1         1915   \n",
              "7  https://www.evemilano.com/come-trovare-indiriz...       0         1774   \n",
              "8                  https://www.evemilano.com/spider/       0         1516   \n",
              "9             https://www.evemilano.com/servizi-seo/       1         1414   \n",
              "\n",
              "   position   ctr  website avg ctr by pos comparison   \n",
              "0         8 0.01%                   0.22%      lower  \\\n",
              "1         4 0.38%                   1.08%      lower   \n",
              "2         4 0.26%                   1.08%      lower   \n",
              "3         9 0.00%                   0.24%      lower   \n",
              "4        87 0.00%                   0.00%      equal   \n",
              "5         9 0.08%                   0.24%      lower   \n",
              "6        10 0.05%                   0.16%      lower   \n",
              "7         9 0.00%                   0.24%      lower   \n",
              "8        11 0.00%                   0.20%      lower   \n",
              "9        14 0.07%                   0.34%      lower   \n",
              "\n",
              "                                       top_5_queries   \n",
              "0  proxy, proxy significato, proxy server, proxy ...  \\\n",
              "1  web archive, webarchive, archive web, internet...   \n",
              "2  web archive, webarchive, archive web, internet...   \n",
              "3  gdpr significato, gdpr acronimo, gdpr, acronim...   \n",
              "4  agenzia seo, agenzia seo milano, agenzie seo m...   \n",
              "5  proxy, proxy significato, proxy server, proxy ...   \n",
              "6  gdpr significato, gdpr acronimo, gdpr, acronim...   \n",
              "7  l'indirizzo completo di un sito, trovare indir...   \n",
              "8  crawler, che cos'è uno spider?, che cos'è uno ...   \n",
              "9  servizi seo, consulenza seo, consulenza seo ma...   \n",
              "\n",
              "                                           tag title  tag title len   \n",
              "0                                                                 0  \\\n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "3                                                                 0   \n",
              "4                                                                 0   \n",
              "5                                                                 0   \n",
              "6                                                                 0   \n",
              "7                                                                 0   \n",
              "8                                                                 0   \n",
              "9                                                                 0   \n",
              "\n",
              "                                          check   \n",
              "0                                          N.A.  \\\n",
              "1  Missing 3: web.archive, internet, webarchive   \n",
              "2  Missing 3: web.archive, internet, webarchive   \n",
              "3                                          N.A.   \n",
              "4                                          N.A.   \n",
              "5                                          N.A.   \n",
              "6                                          N.A.   \n",
              "7                                          N.A.   \n",
              "8                                          N.A.   \n",
              "9                                          N.A.   \n",
              "\n",
              "                                       new tag title  new tag title len  diff   \n",
              "0                                               None                  4     4  \\\n",
              "1  Scopri web archive: utilizzo pratico di webarc...                 69    20   \n",
              "2  Scopri web archive: utilizzo pratico di webarc...                 69    20   \n",
              "3                                               None                  4     4   \n",
              "4                                               None                  4     4   \n",
              "5                                               None                  4     4   \n",
              "6                                               None                  4     4   \n",
              "7                                               None                  4     4   \n",
              "8                                               None                  4     4   \n",
              "9                                               None                  4     4   \n",
              "\n",
              "        diff_check  \n",
              "0             N.A.  \n",
              "1  From Opt to Opt  \n",
              "2  From Opt to Opt  \n",
              "3             N.A.  \n",
              "4             N.A.  \n",
              "5             N.A.  \n",
              "6             N.A.  \n",
              "7             N.A.  \n",
              "8             N.A.  \n",
              "9             N.A.  "
            ]
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_torch.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "okE0TzM3SYYw",
        "outputId": "5fe8de9c-4d5d-4ff6-f50d-0ffb95906a7c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Saving pvt_spacy...\n",
            "Saving pvt_stem...\n",
            "Saving trending_folders...\n",
            "Saving raw_df...\n",
            "Saving query_pivot_tableP...\n",
            "Saving raw_dfP...\n",
            "Saving brand_count_df...\n",
            "Saving df_brand...\n",
            "Saving sorted_pivot...\n",
            "Saving query_analysis...\n",
            "Saving final_df...\n",
            "Saving cann_filtered_table...\n",
            "Saving df_improve...\n",
            "Saving df_torch...\n",
            "File output_file_name salvato in output/evemilano.com/GSC_EXT_evemilano.com_30days_1crawls_20231124_0939.xlsx\n"
          ]
        }
      ],
      "source": [
        "# Salvataggio Export\n",
        "######################################################\n",
        "# Specifica il percorso completo del file di output\n",
        "filepath = os.path.join(new_output_dir, filename)\n",
        "# colleziona dataframe da esportare\n",
        "dataframes = {\n",
        "  'pvt_spacy': 'Trending Topics',\n",
        "  'pvt_stem' : 'Trending Stems',\n",
        "  'trending_folders':'Trending Folders',  \n",
        "  'raw_df': 'Raw data',\n",
        "  'query_pivot_tableP':'Query data',\n",
        "  'raw_dfP': 'URL data',\n",
        "  'brand_count_df': 'Brand table',\n",
        "  'df_brand': 'Brand queries',\n",
        "  'sorted_pivot': 'Pvt brand',\n",
        "  'query_analysis': 'CTR by pos',\n",
        "  'final_df': 'Main output',\n",
        "  'cann_filtered_table': 'Cannibal',\n",
        "  'df_improve': 'Improve',\n",
        "  'df_torch': 'Check title'\n",
        "}\n",
        "\n",
        "# Limite massimo di righe ed URL di Excel\n",
        "max_urls_in_sheets = 65530\n",
        "max_rows = 1048575\n",
        "\n",
        "# Esporta il DataFrame in un file Excel nella cartella di output\n",
        "with pd.ExcelWriter(filepath) as writer:\n",
        "    for df_name, sheet_name in dataframes.items():\n",
        "        print(f\"Saving {df_name}...\")\n",
        "        if df_name in locals():\n",
        "            df = locals()[df_name]\n",
        "            lunghezzatot = len(df)\n",
        "            \n",
        "            # Converti gli URL in stringhe nel DataFrame (modifica il nome della colonna qui)\n",
        "            if 'page' in df.columns:  \n",
        "                df['page'] = df['page'].astype(str)\n",
        "                url_count = df['page'].nunique() if 'page' in df.columns else 0\n",
        "\n",
        "                # Controlla il numero di URL e esporta in CSV se necessario\n",
        "                if url_count > max_urls_in_sheets:\n",
        "                    print('Exporting to CSV due to high URL count...')\n",
        "                    csv_filename = f\"{filename}_{sheet_name}.csv\"\n",
        "                    csv_filepath = os.path.join(new_output_dir, csv_filename)\n",
        "                    df.to_csv(csv_filepath, index=False)\n",
        "                    print(f\"DataFrame {df_name} with high URL count saved as CSV in {csv_filepath}\")\n",
        "                    continue  # Salta l'esportazione in Excel per questo DataFrame\n",
        "            \n",
        "            # Se il DataFrame ha più righe del limite massimo, troncalo al limite massimo\n",
        "            if len(df) > max_rows:\n",
        "                # esporta in csv i df troppo grandi\n",
        "                print('Exporting to CSV due to high ROW count...')\n",
        "                csv_filename = f\"{filename}_{sheet_name}.csv\"  # Nome del file CSV\n",
        "                csv_filepath = os.path.join(new_output_dir, csv_filename)  # Percorso del file CSV\n",
        "                df.to_csv(csv_filepath, index=False)  # Esporta in CSV\n",
        "                print(f\"Full DataFrame {df_name} saved as CSV in {csv_filepath}\")\n",
        "                #print(f\"Truncating {df_name} to the first {max_rows} rows on total {lunghezzatot}.\")\n",
        "                # formattazine migliaia\n",
        "                print(f\"Truncating {df_name} to the first {max_rows:,} rows on total {lunghezzatot:,}.\")\n",
        "                df = df.iloc[:max_rows]\n",
        "            index_option = True  # Imposta a True per i fogli con indice, False altrimenti\n",
        "            if sheet_name in ['Raw data', 'URL data', 'Brand queries', 'Main output', 'Improve', 'Check title',]:\n",
        "                index_option = False\n",
        "            df.to_excel(writer, sheet_name=sheet_name, index=index_option)\n",
        "# Stampa un messaggio di conferma\n",
        "print(f'File {file_name} salvato in {filepath}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {},
      "outputs": [],
      "source": [
        "if formattazione == 'si':\n",
        "    from openpyxl import load_workbook\n",
        "    from openpyxl.styles import NamedStyle\n",
        "    from openpyxl.formatting.rule import ColorScaleRule\n",
        "    from openpyxl.styles import Color\n",
        "\n",
        "    # Definisci gli stili\n",
        "    thousands_style = NamedStyle(name='thousands', number_format='#,##0')\n",
        "    percent_style = NamedStyle(name='percent', number_format='0.00%')\n",
        "    integer_style = NamedStyle(name='integer', number_format='0')\n",
        "\n",
        "    # Carica il workbook esistente\n",
        "    print('loading workbook')\n",
        "    workbook = load_workbook(filepath)\n",
        "    print('workbook loaded')\n",
        "    # Definisci la mappatura della colonna al suo stile e alla formattazione condizionale\n",
        "    column_formats = {\n",
        "        # FF0000 rosso - FFFFFF bianco - 00FF00 verde\n",
        "        'clicks': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'query': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'url count': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'impressions': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'ctr': (percent_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'website avg ctr by pos': (percent_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'avg position': (integer_style, '00FF00', 'FFFFFF', 'FF0000'),\n",
        "        'position': (integer_style, '00FF00', 'FFFFFF', 'FF0000'),  # Inverti per 'avg position'\n",
        "        'weighted avg position': (integer_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'tag title len': (thousands_style, 'FF0000', 'FFFFFF', 'FF0000'),\n",
        "        'new tag title': (thousands_style, 'FF0000', 'FFFFFF', 'FF0000'),\n",
        "        'diff': (thousands_style, 'FF0000', 'FFFFFF', 'FF0000'),\n",
        "\n",
        "    }\n",
        "    print('formatting')\n",
        "    # Applica la formattazione specifica a tutte le colonne desiderate in tutti i fogli\n",
        "    for sheet_name in workbook.sheetnames:\n",
        "        sheet = workbook[sheet_name]\n",
        "        \n",
        "        # Aggiungi gli stili al workbook se non sono già stati aggiunti\n",
        "        if thousands_style.name not in workbook.named_styles:\n",
        "            workbook.add_named_style(thousands_style)\n",
        "        if percent_style.name not in workbook.named_styles:\n",
        "            workbook.add_named_style(percent_style)\n",
        "        if integer_style.name not in workbook.named_styles:\n",
        "            workbook.add_named_style(integer_style)\n",
        "        \n",
        "        for col_info in sheet.iter_cols(min_row=1, max_row=sheet.max_row):\n",
        "            #print(f'Formatting {col_info} in {sheet}')\n",
        "            col_name = sheet.cell(row=1, column=col_info[0].column).value\n",
        "            if col_name and col_name.lower() in column_formats:\n",
        "                col_values = [cell.value for cell in col_info if isinstance(cell.value, (int, float))]\n",
        "                if col_values:  # Assicurati che ci siano valori numerici nella colonna\n",
        "                    min_val = min(col_values)\n",
        "                    max_val = max(col_values)\n",
        "                    mid_val = (min_val + max_val) / 2  # Calcolo del valore medio per il bianco\n",
        "\n",
        "                    # Formattazione condizionale con tre colori\n",
        "                    # Ottieni lo stile e i colori dalla mappatura\n",
        "                    style, start_color, mid_color, end_color = column_formats[col_name.lower()]\n",
        "\n",
        "                    # Formattazione condizionale con tre colori\n",
        "                    color_scale_rule = ColorScaleRule(start_type='num', start_value=min_val, start_color=start_color,\n",
        "                                                    mid_type='num', mid_value=mid_val, mid_color=mid_color,\n",
        "                                                    end_type='num', end_value=max_val, end_color=end_color)\n",
        "                    col_letter = col_info[0].column_letter\n",
        "                    sheet.conditional_formatting.add(f\"{col_letter}2:{col_letter}{sheet.max_row}\", color_scale_rule)\n",
        "\n",
        "                    # Applica lo stile di formattazione numerica\n",
        "                    for cell in col_info[1:]:  # Saltare l'intestazione\n",
        "                        cell.style = style\n",
        "\n",
        "    # Salva le modifiche al workbook\n",
        "    workbook.save(filepath)\n",
        "    print('DONE!')\n"
      ]
    }
  ],
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    },
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