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diff --git a/notebooks/nasa-apod.ipynb b/notebooks/nasa-apod.ipynb
deleted file mode 100644
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-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "90700fdc-fcc7-4e54-8c9e-449879d8c66d",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Securely Using API Keys\n",
-    "\n",
-    "> The following are (opinionated) best practices to store and use API keys in your source code. If you disagree, please consider [contributing](https://github.com/worldbank/template/issues/new/choose). "
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "ac0ed1c0",
-   "metadata": {},
-   "source": [
-    "## Environment Variables\n",
-    "\n",
-    "An [environment variable](https://en.wikipedia.org/wiki/Environment_variable) is a dynamic-named value that can be used to store information on a computer. For instance, an environment variable can be used to store settings and/or privileged information (e.g. API keys) on your local computer or server.\n",
-    "\n",
-    "To set a environment variable to a new value, in **Unix-like** systems, you must pass a `name` and a `value` pair as shown below in the terminal.\n",
-    "\n",
-    "```shell\n",
-    "export SECRET_API_KEY = <MY-SECRET_API_KEY>\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "080bd097-f128-4759-946d-793368230804",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "The `value` is acessible by the `name` without being exposed throughout the sytem. In particular, in [Python](https://python.org), the value can be retrieve as follows."
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "8d023b4e-496b-440c-91a7-199bceb44d7d",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "```python\n",
-    "secret_api_key = os.getenv(\"SECRET_API_KEY\")\n",
-    "```"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "54a99582-d509-4ab8-be42-ddb4921c0f45",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Alternatively, it is customary to use a `.env` file to organize and load environments variables as needed. Packages such as [dotenv](https://www.npmjs.com/package/dotenv) and [python-dotenv](https://pypi.org/project/python-dotenv/) will automatically  load environments variables for you from the `.env` file.\n",
-    "\n",
-    "```shell\n",
-    "source .env\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3c0cc26a-2a99-49b0-a406-d57f31fff8ee",
-   "metadata": {},
-   "source": [
-    "With [Python](https://python.org),"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "960398ce-eadb-45e3-b160-53e6c9250dd0",
-   "metadata": {
-    "tags": [
-     "remove_output"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "from dotenv import load_dotenv\n",
-    "\n",
-    "load_dotenv()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bda573d0-c877-42e6-8ee5-3000b780b4b7",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "With [Jupyter](https://jupyter.org),"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "2e700464-b50d-4b06-b0aa-afaafa17e68e",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "%load_ext dotenv\n",
-    "%dotenv"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "660db869",
-   "metadata": {},
-   "source": [
-    "The <span style=\"color:#3EACAD\">template</span>  includes `.env.example` as an example; to use, simply rename it to `.env` and add your settings and secrets to it. Please note that `.env` **must** never be commited/versioned (for example, to GitHub) and **should** ignored on `.gitignore`. "
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "74484f7e",
-   "metadata": {},
-   "source": [
-    "```{tip}\n",
-    "While environments variables are a convenient way to minimize the security risk, it is important to emphasize secrets are still stored in plaintext in your computer. It is strongly recommended to use instead a secret manager, such as [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/) or [1Password](https://developer.1password.com/docs/cli/secret-references).\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "14e89727",
-   "metadata": {},
-   "source": [
-    "## Astronomy Picture of the Day"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b4c0f3e8-7756-41bb-aa21-cc2eee5ff67f",
-   "metadata": {},
-   "source": [
-    "One of the most popular APIs is NASA's [Astronomy Picture of the Day](https://apod.nasa.gov/apod/astropix.html). Let's see in the following example how to use the NASA API with a secret API key."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "d797ef77-6ca4-4f9d-a1f8-abbfd9884b07",
-   "metadata": {
-    "tags": [
-     "hide-cell"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "\n",
-    "import httpx\n",
-    "from IPython.core.display import HTML\n",
-    "from IPython.display import Image"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ece37244",
-   "metadata": {},
-   "source": [
-    "First, you will have to [generate your API key](https://api.nasa.gov) and set up the environment variable `NASA_API_KEY` with its value. Now you are ready to use it in your code. For instance, in this example, we assign it to `api_key`. Please note that the value is never exposed and the notebook can be securely shared with anyone. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "7b914e66-7ae8-4d8b-9621-d6dc5ec49631",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "api_key = os.getenv(\"NASA_API_KEY\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "10b5b12a",
-   "metadata": {},
-   "source": [
-    "Now, we are ready to make the request to the NASA API. According to the [documentation](https://github.com/nasa/apod-api#docs), the `api_key` is passed a parameter to the GET request. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "1990c3b9-f145-4c1f-bbb5-82f50801a011",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "async with httpx.AsyncClient() as client:\n",
-    "    r = await client.get(\n",
-    "        \"https://api.nasa.gov/planetary/apod\", params={\"api_key\": api_key}\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e952e343",
-   "metadata": {},
-   "source": [
-    "Voilà!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "bd1cb597-0144-43e8-bed8-12145a831a0c",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"https://apod.nasa.gov/apod/image/2302/jonesemberson1.jpg\"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "Image(url=r.json()[\"hdurl\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8c7cb67e-c7ba-4ed3-bee0-36d303c1517d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "ce6d896885f4e28373aa2ff7c44f136ed5a497e2abd203a79a632f5859ed7bb5"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/notebooks/world-bank-api.ipynb b/notebooks/world-bank-api.ipynb
deleted file mode 100644
index 4b103ac..0000000
--- a/notebooks/world-bank-api.ipynb
+++ /dev/null
@@ -1,708 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "90700fdc-fcc7-4e54-8c9e-449879d8c66d",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Indicators Example\n",
-    "\n",
-    "> The following is an example of a [Jupyter notebook](https://jupyter.org) - a tutorial of how to retrieve data from the [World Bank Indicators API](https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation) - that illustrates how to use computational content with the [template](https://worldbank.github.io/template). "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e0d992a6-f656-45ce-a025-f824901e8797",
-   "metadata": {},
-   "source": [
-    "## Requirements"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "1811080b-c4c6-43cb-9e46-5cfa65d54abf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import itertools\n",
-    "\n",
-    "import bokeh\n",
-    "import pandas\n",
-    "import requests\n",
-    "from bokeh.palettes import Spectral6\n",
-    "from bokeh.plotting import figure, output_notebook, show"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fb8d2738-535e-4957-b82a-987891955a7f",
-   "metadata": {},
-   "source": [
-    "## Retrieve Data\n",
-    "\n",
-    "In this example, we retrieve **Population, total** (`SP.POP.TOTL`) from the [World Bank Indicators](https://data.worldbank.org/indicator) for [BRICS](https://infobrics.org)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "c955864a-1889-4f7f-a29e-108b0534846b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "url = \"https://api.worldbank.org/v2/country/chn;bra;ind;rus;zaf/indicator/SP.POP.TOTL?format=json&per_page=10000\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6b5aac7c-bf80-4daa-a4a4-eebe8edc97bb",
-   "metadata": {},
-   "source": [
-    "Let's use [requests](https://requests.readthedocs.io) to send a GET request,"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "8d699f28-853a-40a1-8ea9-8dd566962454",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "r = requests.get(url)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a21cf193-ec13-45b8-9726-bb960ac8586a",
-   "metadata": {},
-   "source": [
-    "Now, let's normalize and create `pandas.DataFrame` from the response,"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "3dc152b2-95ba-473a-a416-2c4d5bac7622",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# normalize\n",
-    "data = pandas.json_normalize(r.json()[-1])\n",
-    "\n",
-    "# create dataframe\n",
-    "df = pandas.DataFrame.from_dict(data)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "241904c0-35b9-4e43-a3f9-f97738ea9fd1",
-   "metadata": {},
-   "source": [
-    "```{tip}\n",
-    "Alternatively, the World Bank API supports downloading the data as an [archive](http://api.worldbank.org/v2/country/all/indicator/SP.POP.TOTL?date=2000&source=2&downloadformat=csv). \n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bae3462b-f49c-4b8a-badb-8f580b4fc268",
-   "metadata": {},
-   "source": [
-    "Let's take a look at the dataframe, "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "c0bbef2d-495c-4140-b8ac-45ee47772142",
-   "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>countryiso3code</th>\n",
-       "      <th>BRA</th>\n",
-       "      <th>CHN</th>\n",
-       "      <th>IND</th>\n",
-       "      <th>RUS</th>\n",
-       "      <th>ZAF</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</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>1960</th>\n",
-       "      <td>73.092515</td>\n",
-       "      <td>667.070</td>\n",
-       "      <td>445.954579</td>\n",
-       "      <td>119.897000</td>\n",
-       "      <td>16.520441</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1961</th>\n",
-       "      <td>75.330008</td>\n",
-       "      <td>660.330</td>\n",
-       "      <td>456.351876</td>\n",
-       "      <td>121.236000</td>\n",
-       "      <td>16.989464</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1962</th>\n",
-       "      <td>77.599218</td>\n",
-       "      <td>665.770</td>\n",
-       "      <td>467.024193</td>\n",
-       "      <td>122.591000</td>\n",
-       "      <td>17.503133</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1963</th>\n",
-       "      <td>79.915555</td>\n",
-       "      <td>682.335</td>\n",
-       "      <td>477.933619</td>\n",
-       "      <td>123.960000</td>\n",
-       "      <td>18.042215</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964</th>\n",
-       "      <td>82.262794</td>\n",
-       "      <td>698.355</td>\n",
-       "      <td>489.059309</td>\n",
-       "      <td>125.345000</td>\n",
-       "      <td>18.603097</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017</th>\n",
-       "      <td>208.504960</td>\n",
-       "      <td>1396.215</td>\n",
-       "      <td>1354.195680</td>\n",
-       "      <td>144.496739</td>\n",
-       "      <td>56.641209</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018</th>\n",
-       "      <td>210.166592</td>\n",
-       "      <td>1402.760</td>\n",
-       "      <td>1369.003306</td>\n",
-       "      <td>144.477859</td>\n",
-       "      <td>57.339635</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019</th>\n",
-       "      <td>211.782878</td>\n",
-       "      <td>1407.745</td>\n",
-       "      <td>1383.112050</td>\n",
-       "      <td>144.406261</td>\n",
-       "      <td>58.087055</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020</th>\n",
-       "      <td>213.196304</td>\n",
-       "      <td>1411.100</td>\n",
-       "      <td>1396.387127</td>\n",
-       "      <td>144.073139</td>\n",
-       "      <td>58.801927</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2021</th>\n",
-       "      <td>214.326223</td>\n",
-       "      <td>1412.360</td>\n",
-       "      <td>1407.563842</td>\n",
-       "      <td>143.449286</td>\n",
-       "      <td>59.392255</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>62 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "countryiso3code         BRA       CHN          IND         RUS        ZAF\n",
-       "date                                                                     \n",
-       "1960              73.092515   667.070   445.954579  119.897000  16.520441\n",
-       "1961              75.330008   660.330   456.351876  121.236000  16.989464\n",
-       "1962              77.599218   665.770   467.024193  122.591000  17.503133\n",
-       "1963              79.915555   682.335   477.933619  123.960000  18.042215\n",
-       "1964              82.262794   698.355   489.059309  125.345000  18.603097\n",
-       "...                     ...       ...          ...         ...        ...\n",
-       "2017             208.504960  1396.215  1354.195680  144.496739  56.641209\n",
-       "2018             210.166592  1402.760  1369.003306  144.477859  57.339635\n",
-       "2019             211.782878  1407.745  1383.112050  144.406261  58.087055\n",
-       "2020             213.196304  1411.100  1396.387127  144.073139  58.801927\n",
-       "2021             214.326223  1412.360  1407.563842  143.449286  59.392255\n",
-       "\n",
-       "[62 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = df.pivot_table(values=\"value\", index=\"date\", columns=\"countryiso3code\")\n",
-    "df = df / 1e6 # scaling\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "27f26a03-6d7a-4c86-8a02-1ea341d7ac5b",
-   "metadata": {},
-   "source": [
-    "## Visualization"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "38e8582b-2a51-4908-8356-76cb6158fdc3",
-   "metadata": {},
-   "source": [
-    "Let's now plot the data as a time series using [Bokeh](https://docs.bokeh.org)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "78041d94-56a6-43ff-a307-8e8a3b377858",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div class=\"bk-root\">\n",
-       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
-       "        <span id=\"1002\">Loading BokehJS ...</span>\n",
-       "    </div>\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "(function(root) {\n",
-       "  function now() {\n",
-       "    return new Date();\n",
-       "  }\n",
-       "\n",
-       "  const force = true;\n",
-       "\n",
-       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
-       "    root._bokeh_onload_callbacks = [];\n",
-       "    root._bokeh_is_loading = undefined;\n",
-       "  }\n",
-       "\n",
-       "const JS_MIME_TYPE = 'application/javascript';\n",
-       "  const HTML_MIME_TYPE = 'text/html';\n",
-       "  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
-       "  const CLASS_NAME = 'output_bokeh rendered_html';\n",
-       "\n",
-       "  /**\n",
-       "   * Render data to the DOM node\n",
-       "   */\n",
-       "  function render(props, node) {\n",
-       "    const script = document.createElement(\"script\");\n",
-       "    node.appendChild(script);\n",
-       "  }\n",
-       "\n",
-       "  /**\n",
-       "   * Handle when an output is cleared or removed\n",
-       "   */\n",
-       "  function handleClearOutput(event, handle) {\n",
-       "    const cell = handle.cell;\n",
-       "\n",
-       "    const id = cell.output_area._bokeh_element_id;\n",
-       "    const server_id = cell.output_area._bokeh_server_id;\n",
-       "    // Clean up Bokeh references\n",
-       "    if (id != null && id in Bokeh.index) {\n",
-       "      Bokeh.index[id].model.document.clear();\n",
-       "      delete Bokeh.index[id];\n",
-       "    }\n",
-       "\n",
-       "    if (server_id !== undefined) {\n",
-       "      // Clean up Bokeh references\n",
-       "      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
-       "      cell.notebook.kernel.execute(cmd_clean, {\n",
-       "        iopub: {\n",
-       "          output: function(msg) {\n",
-       "            const id = msg.content.text.trim();\n",
-       "            if (id in Bokeh.index) {\n",
-       "              Bokeh.index[id].model.document.clear();\n",
-       "              delete Bokeh.index[id];\n",
-       "            }\n",
-       "          }\n",
-       "        }\n",
-       "      });\n",
-       "      // Destroy server and session\n",
-       "      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
-       "      cell.notebook.kernel.execute(cmd_destroy);\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  /**\n",
-       "   * Handle when a new output is added\n",
-       "   */\n",
-       "  function handleAddOutput(event, handle) {\n",
-       "    const output_area = handle.output_area;\n",
-       "    const output = handle.output;\n",
-       "\n",
-       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
-       "    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
-       "      return\n",
-       "    }\n",
-       "\n",
-       "    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
-       "\n",
-       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
-       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
-       "      // store reference to embed id on output_area\n",
-       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
-       "    }\n",
-       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
-       "      const bk_div = document.createElement(\"div\");\n",
-       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
-       "      const script_attrs = bk_div.children[0].attributes;\n",
-       "      for (let i = 0; i < script_attrs.length; i++) {\n",
-       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
-       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
-       "      }\n",
-       "      // store reference to server id on output_area\n",
-       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  function register_renderer(events, OutputArea) {\n",
-       "\n",
-       "    function append_mime(data, metadata, element) {\n",
-       "      // create a DOM node to render to\n",
-       "      const toinsert = this.create_output_subarea(\n",
-       "        metadata,\n",
-       "        CLASS_NAME,\n",
-       "        EXEC_MIME_TYPE\n",
-       "      );\n",
-       "      this.keyboard_manager.register_events(toinsert);\n",
-       "      // Render to node\n",
-       "      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
-       "      render(props, toinsert[toinsert.length - 1]);\n",
-       "      element.append(toinsert);\n",
-       "      return toinsert\n",
-       "    }\n",
-       "\n",
-       "    /* Handle when an output is cleared or removed */\n",
-       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
-       "    events.on('delete.Cell', handleClearOutput);\n",
-       "\n",
-       "    /* Handle when a new output is added */\n",
-       "    events.on('output_added.OutputArea', handleAddOutput);\n",
-       "\n",
-       "    /**\n",
-       "     * Register the mime type and append_mime function with output_area\n",
-       "     */\n",
-       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
-       "      /* Is output safe? */\n",
-       "      safe: true,\n",
-       "      /* Index of renderer in `output_area.display_order` */\n",
-       "      index: 0\n",
-       "    });\n",
-       "  }\n",
-       "\n",
-       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
-       "  if (root.Jupyter !== undefined) {\n",
-       "    const events = require('base/js/events');\n",
-       "    const OutputArea = require('notebook/js/outputarea').OutputArea;\n",
-       "\n",
-       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
-       "      register_renderer(events, OutputArea);\n",
-       "    }\n",
-       "  }\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
-       "    root._bokeh_timeout = Date.now() + 5000;\n",
-       "    root._bokeh_failed_load = false;\n",
-       "  }\n",
-       "\n",
-       "  const NB_LOAD_WARNING = {'data': {'text/html':\n",
-       "     \"<div style='background-color: #fdd'>\\n\"+\n",
-       "     \"<p>\\n\"+\n",
-       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
-       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
-       "     \"</p>\\n\"+\n",
-       "     \"<ul>\\n\"+\n",
-       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
-       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
-       "     \"</ul>\\n\"+\n",
-       "     \"<code>\\n\"+\n",
-       "     \"from bokeh.resources import INLINE\\n\"+\n",
-       "     \"output_notebook(resources=INLINE)\\n\"+\n",
-       "     \"</code>\\n\"+\n",
-       "     \"</div>\"}};\n",
-       "\n",
-       "  function display_loaded() {\n",
-       "    const el = document.getElementById(\"1002\");\n",
-       "    if (el != null) {\n",
-       "      el.textContent = \"BokehJS is loading...\";\n",
-       "    }\n",
-       "    if (root.Bokeh !== undefined) {\n",
-       "      if (el != null) {\n",
-       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
-       "      }\n",
-       "    } else if (Date.now() < root._bokeh_timeout) {\n",
-       "      setTimeout(display_loaded, 100)\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  function run_callbacks() {\n",
-       "    try {\n",
-       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
-       "        if (callback != null)\n",
-       "          callback();\n",
-       "      });\n",
-       "    } finally {\n",
-       "      delete root._bokeh_onload_callbacks\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
-       "  }\n",
-       "\n",
-       "  function load_libs(css_urls, js_urls, callback) {\n",
-       "    if (css_urls == null) css_urls = [];\n",
-       "    if (js_urls == null) js_urls = [];\n",
-       "\n",
-       "    root._bokeh_onload_callbacks.push(callback);\n",
-       "    if (root._bokeh_is_loading > 0) {\n",
-       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
-       "      return null;\n",
-       "    }\n",
-       "    if (js_urls == null || js_urls.length === 0) {\n",
-       "      run_callbacks();\n",
-       "      return null;\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
-       "\n",
-       "    function on_load() {\n",
-       "      root._bokeh_is_loading--;\n",
-       "      if (root._bokeh_is_loading === 0) {\n",
-       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
-       "        run_callbacks()\n",
-       "      }\n",
-       "    }\n",
-       "\n",
-       "    function on_error(url) {\n",
-       "      console.error(\"failed to load \" + url);\n",
-       "    }\n",
-       "\n",
-       "    for (let i = 0; i < css_urls.length; i++) {\n",
-       "      const url = css_urls[i];\n",
-       "      const element = document.createElement(\"link\");\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error.bind(null, url);\n",
-       "      element.rel = \"stylesheet\";\n",
-       "      element.type = \"text/css\";\n",
-       "      element.href = url;\n",
-       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
-       "      document.body.appendChild(element);\n",
-       "    }\n",
-       "\n",
-       "    for (let i = 0; i < js_urls.length; i++) {\n",
-       "      const url = js_urls[i];\n",
-       "      const element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error.bind(null, url);\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "  };\n",
-       "\n",
-       "  function inject_raw_css(css) {\n",
-       "    const element = document.createElement(\"style\");\n",
-       "    element.appendChild(document.createTextNode(css));\n",
-       "    document.body.appendChild(element);\n",
-       "  }\n",
-       "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n",
-       "  const css_urls = [];\n",
-       "\n",
-       "  const inline_js = [    function(Bokeh) {\n",
-       "      Bokeh.set_log_level(\"info\");\n",
-       "    },\n",
-       "function(Bokeh) {\n",
-       "    }\n",
-       "  ];\n",
-       "\n",
-       "  function run_inline_js() {\n",
-       "    if (root.Bokeh !== undefined || force === true) {\n",
-       "          for (let i = 0; i < inline_js.length; i++) {\n",
-       "      inline_js[i].call(root, root.Bokeh);\n",
-       "    }\n",
-       "if (force === true) {\n",
-       "        display_loaded();\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
-       "      setTimeout(run_inline_js, 100);\n",
-       "    } else if (!root._bokeh_failed_load) {\n",
-       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
-       "      root._bokeh_failed_load = true;\n",
-       "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
-       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  if (root._bokeh_is_loading === 0) {\n",
-       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
-       "    run_inline_js();\n",
-       "  } else {\n",
-       "    load_libs(css_urls, js_urls, function() {\n",
-       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "      run_inline_js();\n",
-       "    });\n",
-       "  }\n",
-       "}(window));"
-      ],
-      "application/vnd.bokehjs_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
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-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "  <div class=\"bk-root\" id=\"4d4ccb98-b0a7-4ec4-9327-87b553eb7e33\" data-root-id=\"1003\"></div>\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "(function(root) {\n",
-       "  function embed_document(root) {\n",
-       "  const docs_json = 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total (World 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Application\",\"version\":\"2.4.3\"}};\n",
-       "  const render_items = [{\"docid\":\"76a88bd2-d1e2-4b96-a4aa-feed715948c8\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"4d4ccb98-b0a7-4ec4-9327-87b553eb7e33\"}}];\n",
-       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "  }\n",
-       "  if (root.Bokeh !== undefined) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    let attempts = 0;\n",
-       "    const timer = setInterval(function(root) {\n",
-       "      if (root.Bokeh !== undefined) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else {\n",
-       "        attempts++;\n",
-       "        if (attempts > 100) {\n",
-       "          clearInterval(timer);\n",
-       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
-       "        }\n",
-       "      }\n",
-       "    }, 10, root)\n",
-       "  }\n",
-       "})(window);"
-      ],
-      "application/vnd.bokehjs_exec.v0+json": ""
-     },
-     "metadata": {
-      "application/vnd.bokehjs_exec.v0+json": {
-       "id": "1003"
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "output_notebook()\n",
-    "\n",
-    "p = figure(title=\"Population, total (World Bank)\", width=700, height=600)\n",
-    "\n",
-    "# colors\n",
-    "colors = itertools.cycle(Spectral6)\n",
-    "\n",
-    "# plotting the line graph\n",
-    "for column, color in zip(df.columns, colors):\n",
-    "    p.line(\n",
-    "        df.index,\n",
-    "        df[column],\n",
-    "        legend_label=column,\n",
-    "        color=color,\n",
-    "        line_width=2,\n",
-    "    )\n",
-    "\n",
-    "p.legend.location = \"right\"\n",
-    "p.legend.click_policy = \"mute\"\n",
-    "p.title.text_font_size = \"12pt\"\n",
-    "\n",
-    "p.xaxis.axis_label = \"Year\"\n",
-    "p.yaxis.axis_label = \"Population, total (in millions)\"\n",
-    "\n",
-    "show(p)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.10"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "b6702b69e93007336b96338c5a331192f07cedff01d36d4dcfa0f842adb718ad"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/notebooks/world-bank-package.ipynb b/notebooks/world-bank-package.ipynb
deleted file mode 100644
index cdfcb67..0000000
--- a/notebooks/world-bank-package.ipynb
+++ /dev/null
@@ -1,813 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "90700fdc-fcc7-4e54-8c9e-449879d8c66d",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Package Example\n",
-    "\n",
-    "> The following is an example of on how to use and distribute the source code of your project as a [Python package](https://packaging.python.org) using the <span style=\"color:#3EACAD\">template</span>."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "14e89727",
-   "metadata": {},
-   "source": [
-    "## Usage"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b4c0f3e8-7756-41bb-aa21-cc2eee5ff67f",
-   "metadata": {},
-   "source": [
-    "Unlike the [previous example](https://worldbank.github.io/template/notebooks/world-bank-api.html), where the source code was contained on the Jupyter notebok itself, we (re)use a Python package - the [datalab](https://github.com/worldbank/template/tree/main/src/datalab) Python package - which will let us (re)use any attributes and methods in the following example.\n",
-    "\n",
-    "Let's start by importing `WorldBankIndicatorsAPI`, a Pyhton API wrapper class created to faciliate the usage of the [World Bank Indicators API](https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "d797ef77-6ca4-4f9d-a1f8-abbfd9884b07",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from datalab.indicators import WorldBankIndicatorsAPI"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "17f380e4-3854-4af6-940c-7afe9723a59a",
-   "metadata": {},
-   "source": [
-    "Let's continue by creating the API object. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "f911a5c3-6994-45a6-a049-4b398f5890c0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "api = WorldBankIndicatorsAPI()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7fa96741-f4cd-4504-a5f8-6467f9a2345e",
-   "metadata": {},
-   "source": [
-    "The `api` wrapper object is now ready to use! We will invoke its `query` method to retrieve data from the [World Bank Indicators API](https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation). To learn how to use it, such as information about  method signature, valid parameters and return value, we read `help`. Since [PEP 257](https://peps.python.org/pep-0257), Python offers *doctrings*, which are an easy and standard to create code documentation and it is a good practice adopt it. Documentating the source code is crucial to create a maintainable reliable and reproducicle code base and project.\n",
-    "\n",
-    "Let's see the `query` method's *docstring* as shown below."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "fb6ca314-d161-40e1-a376-a3013a0711eb",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Help on method query in module datalab.indicators:\n",
-      "\n",
-      "query(indicator, country: list = 'all', params: dict = {}) method of datalab.indicators.WorldBankIndicatorsAPI instance\n",
-      "    Retrieve a response, valid JSON response or error, from the World Bank Indicators API.\n",
-      "    \n",
-      "    See also:\n",
-      "        https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation\n",
-      "    \n",
-      "    Parameters\n",
-      "    ----------\n",
-      "    indicator : str\n",
-      "        World Bank API Indicator.\n",
-      "    country : list, optional\n",
-      "        List of countries. The country name is converted to ISO 3166-1 alpha-3 country code.\n",
-      "    params : dict, optional\n",
-      "         World Bank API Indicator Query Strings.\n",
-      "    \n",
-      "    Returns\n",
-      "    -------\n",
-      "    pandas.core.frame.DataFrame\n",
-      "        Return a Pandas DataFrame obtained with response data from World Bank Indicators API.\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "help(api.query)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e82fc342-165d-42d6-b3dc-7534c215ca1f",
-   "metadata": {},
-   "source": [
-    "The `query` method allows us to select an **indicator** (e.g, [World Development Indicators](https://datatopics.worldbank.org/world-development-indicators)), a list of countries and [query parameters](https://datahelpdesk.worldbank.org/knowledgebase/articles/898581#query-strings). Note that contrary to the [previous example](https://worldbank.github.io/template/notebooks/world-bank-api.html), the method expets a list of country names and converts them to [ISO 3166-1 alpha-3](https://www.iso.org/iso-3166-country-codes.html) automatically."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "23b0a1eb-73c1-42e7-8903-98e362ef86de",
-   "metadata": {},
-   "source": [
-    "Let's invoke the `query` method and retrieve the results for `SP.POP.TOTL` for the [BRICS](https://infobrics.org) (as before)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "7fb7daea-c5cf-42ea-b746-a565dd9ac4e1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = api.query(\n",
-    "    \"SP.POP.TOTL\", country=[\"Brazil\", \"China\", \"India\", \"Russia\", \"South Africa\"]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "46662c1b-4c19-424b-8a61-f651cb486c5b",
-   "metadata": {},
-   "source": [
-    "**Voilà!** We just (re)used the [datalab](https://github.com/worldbank/template/tree/main/src/datalab) Python package in our example delegating the maintenance and logic, making the notebook easier to understand and reproduce. \n",
-    "\n",
-    "```{tip}\n",
-    "In addition, the `<span style=\"color:#3EACAD\">template</span>` makes any Python package automatically [pip installable](https://packaging.python.org/en/latest/tutorials/installing-packages/) and acessible to *anyone* and from *anywhere*!\n",
-    "\n",
-    "To install from source:\n",
-    "\n",
-    "\tpip install git+https://github.com/worldbank/template.git\n",
-    "\n",
-    "To install from version:\n",
-    "\n",
-    "\tpip install git+https://github.com/worldbank/template.git@v0.1.0\n",
-    "\t\n",
-    "\n",
-    "When distributing a project release, it is strongly recommended to adhere to release management good practices. It is recommended to create checklists, adopt versioning (e.g, [semantic versioning](https://semver.org/) and to release on [Python Package Index](https://pypi.org/) (instead of GitHub).\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "80887da5-0474-48b3-8c71-fbe3dbd3a8e8",
-   "metadata": {},
-   "source": [
-    "```{tip}\n",
-    "The <span style=\"color:#3EACAD\">template</span> will automatically find and install any local `src` packages as long as the `setup.cfg` file is up-to-date.\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "daa4319a-8936-4195-b1fc-aad9c008325b",
-   "metadata": {},
-   "source": [
-    "```{caution}\n",
-    "The `datalab` Python package shoudl be used for demonstration purposes only. For support, please see the [World Bank Indicators API Documentation](https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation).\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e9f14239",
-   "metadata": {},
-   "source": [
-    "Finally, let's take a look at the retrieved data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "b1d7cf70-bf0e-4c12-ae0d-fd26349291db",
-   "metadata": {
-    "tags": [
-     "remove-cell"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "df = df.pivot_table(values=\"value\", index=\"date\", columns=\"country.value\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "699a0495-4f06-479c-b517-58336110547f",
-   "metadata": {
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "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>country.value</th>\n",
-       "      <th>Brazil</th>\n",
-       "      <th>China</th>\n",
-       "      <th>India</th>\n",
-       "      <th>Russian Federation</th>\n",
-       "      <th>South Africa</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</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>1960</th>\n",
-       "      <td>73092515</td>\n",
-       "      <td>667070000</td>\n",
-       "      <td>445954579</td>\n",
-       "      <td>119897000</td>\n",
-       "      <td>16520441</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1961</th>\n",
-       "      <td>75330008</td>\n",
-       "      <td>660330000</td>\n",
-       "      <td>456351876</td>\n",
-       "      <td>121236000</td>\n",
-       "      <td>16989464</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1962</th>\n",
-       "      <td>77599218</td>\n",
-       "      <td>665770000</td>\n",
-       "      <td>467024193</td>\n",
-       "      <td>122591000</td>\n",
-       "      <td>17503133</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1963</th>\n",
-       "      <td>79915555</td>\n",
-       "      <td>682335000</td>\n",
-       "      <td>477933619</td>\n",
-       "      <td>123960000</td>\n",
-       "      <td>18042215</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964</th>\n",
-       "      <td>82262794</td>\n",
-       "      <td>698355000</td>\n",
-       "      <td>489059309</td>\n",
-       "      <td>125345000</td>\n",
-       "      <td>18603097</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017</th>\n",
-       "      <td>208504960</td>\n",
-       "      <td>1396215000</td>\n",
-       "      <td>1354195680</td>\n",
-       "      <td>144496739</td>\n",
-       "      <td>56641209</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018</th>\n",
-       "      <td>210166592</td>\n",
-       "      <td>1402760000</td>\n",
-       "      <td>1369003306</td>\n",
-       "      <td>144477859</td>\n",
-       "      <td>57339635</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019</th>\n",
-       "      <td>211782878</td>\n",
-       "      <td>1407745000</td>\n",
-       "      <td>1383112050</td>\n",
-       "      <td>144406261</td>\n",
-       "      <td>58087055</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020</th>\n",
-       "      <td>213196304</td>\n",
-       "      <td>1411100000</td>\n",
-       "      <td>1396387127</td>\n",
-       "      <td>144073139</td>\n",
-       "      <td>58801927</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2021</th>\n",
-       "      <td>214326223</td>\n",
-       "      <td>1412360000</td>\n",
-       "      <td>1407563842</td>\n",
-       "      <td>143449286</td>\n",
-       "      <td>59392255</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>62 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "country.value     Brazil       China       India  Russian Federation  \\\n",
-       "date                                                                   \n",
-       "1960            73092515   667070000   445954579           119897000   \n",
-       "1961            75330008   660330000   456351876           121236000   \n",
-       "1962            77599218   665770000   467024193           122591000   \n",
-       "1963            79915555   682335000   477933619           123960000   \n",
-       "1964            82262794   698355000   489059309           125345000   \n",
-       "...                  ...         ...         ...                 ...   \n",
-       "2017           208504960  1396215000  1354195680           144496739   \n",
-       "2018           210166592  1402760000  1369003306           144477859   \n",
-       "2019           211782878  1407745000  1383112050           144406261   \n",
-       "2020           213196304  1411100000  1396387127           144073139   \n",
-       "2021           214326223  1412360000  1407563842           143449286   \n",
-       "\n",
-       "country.value  South Africa  \n",
-       "date                         \n",
-       "1960               16520441  \n",
-       "1961               16989464  \n",
-       "1962               17503133  \n",
-       "1963               18042215  \n",
-       "1964               18603097  \n",
-       "...                     ...  \n",
-       "2017               56641209  \n",
-       "2018               57339635  \n",
-       "2019               58087055  \n",
-       "2020               58801927  \n",
-       "2021               59392255  \n",
-       "\n",
-       "[62 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c5daa85a-004d-4e93-be84-72d064d0b83b",
-   "metadata": {},
-   "source": [
-    "## Visualization\n",
-    "\n",
-    "As before, let's now plot the data as a time series using [Bokeh](https://docs.bokeh.org)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "5d6be794-9e37-4ee2-94df-b40dff3ace6a",
-   "metadata": {
-    "tags": [
-     "hide-input"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div class=\"bk-root\">\n",
-       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
-       "        <span id=\"1002\">Loading BokehJS ...</span>\n",
-       "    </div>\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "(function(root) {\n",
-       "  function now() {\n",
-       "    return new Date();\n",
-       "  }\n",
-       "\n",
-       "  const force = true;\n",
-       "\n",
-       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
-       "    root._bokeh_onload_callbacks = [];\n",
-       "    root._bokeh_is_loading = undefined;\n",
-       "  }\n",
-       "\n",
-       "const JS_MIME_TYPE = 'application/javascript';\n",
-       "  const HTML_MIME_TYPE = 'text/html';\n",
-       "  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
-       "  const CLASS_NAME = 'output_bokeh rendered_html';\n",
-       "\n",
-       "  /**\n",
-       "   * Render data to the DOM node\n",
-       "   */\n",
-       "  function render(props, node) {\n",
-       "    const script = document.createElement(\"script\");\n",
-       "    node.appendChild(script);\n",
-       "  }\n",
-       "\n",
-       "  /**\n",
-       "   * Handle when an output is cleared or removed\n",
-       "   */\n",
-       "  function handleClearOutput(event, handle) {\n",
-       "    const cell = handle.cell;\n",
-       "\n",
-       "    const id = cell.output_area._bokeh_element_id;\n",
-       "    const server_id = cell.output_area._bokeh_server_id;\n",
-       "    // Clean up Bokeh references\n",
-       "    if (id != null && id in Bokeh.index) {\n",
-       "      Bokeh.index[id].model.document.clear();\n",
-       "      delete Bokeh.index[id];\n",
-       "    }\n",
-       "\n",
-       "    if (server_id !== undefined) {\n",
-       "      // Clean up Bokeh references\n",
-       "      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
-       "      cell.notebook.kernel.execute(cmd_clean, {\n",
-       "        iopub: {\n",
-       "          output: function(msg) {\n",
-       "            const id = msg.content.text.trim();\n",
-       "            if (id in Bokeh.index) {\n",
-       "              Bokeh.index[id].model.document.clear();\n",
-       "              delete Bokeh.index[id];\n",
-       "            }\n",
-       "          }\n",
-       "        }\n",
-       "      });\n",
-       "      // Destroy server and session\n",
-       "      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
-       "      cell.notebook.kernel.execute(cmd_destroy);\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  /**\n",
-       "   * Handle when a new output is added\n",
-       "   */\n",
-       "  function handleAddOutput(event, handle) {\n",
-       "    const output_area = handle.output_area;\n",
-       "    const output = handle.output;\n",
-       "\n",
-       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
-       "    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
-       "      return\n",
-       "    }\n",
-       "\n",
-       "    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
-       "\n",
-       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
-       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
-       "      // store reference to embed id on output_area\n",
-       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
-       "    }\n",
-       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
-       "      const bk_div = document.createElement(\"div\");\n",
-       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
-       "      const script_attrs = bk_div.children[0].attributes;\n",
-       "      for (let i = 0; i < script_attrs.length; i++) {\n",
-       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
-       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
-       "      }\n",
-       "      // store reference to server id on output_area\n",
-       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  function register_renderer(events, OutputArea) {\n",
-       "\n",
-       "    function append_mime(data, metadata, element) {\n",
-       "      // create a DOM node to render to\n",
-       "      const toinsert = this.create_output_subarea(\n",
-       "        metadata,\n",
-       "        CLASS_NAME,\n",
-       "        EXEC_MIME_TYPE\n",
-       "      );\n",
-       "      this.keyboard_manager.register_events(toinsert);\n",
-       "      // Render to node\n",
-       "      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
-       "      render(props, toinsert[toinsert.length - 1]);\n",
-       "      element.append(toinsert);\n",
-       "      return toinsert\n",
-       "    }\n",
-       "\n",
-       "    /* Handle when an output is cleared or removed */\n",
-       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
-       "    events.on('delete.Cell', handleClearOutput);\n",
-       "\n",
-       "    /* Handle when a new output is added */\n",
-       "    events.on('output_added.OutputArea', handleAddOutput);\n",
-       "\n",
-       "    /**\n",
-       "     * Register the mime type and append_mime function with output_area\n",
-       "     */\n",
-       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
-       "      /* Is output safe? */\n",
-       "      safe: true,\n",
-       "      /* Index of renderer in `output_area.display_order` */\n",
-       "      index: 0\n",
-       "    });\n",
-       "  }\n",
-       "\n",
-       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
-       "  if (root.Jupyter !== undefined) {\n",
-       "    const events = require('base/js/events');\n",
-       "    const OutputArea = require('notebook/js/outputarea').OutputArea;\n",
-       "\n",
-       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
-       "      register_renderer(events, OutputArea);\n",
-       "    }\n",
-       "  }\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
-       "    root._bokeh_timeout = Date.now() + 5000;\n",
-       "    root._bokeh_failed_load = false;\n",
-       "  }\n",
-       "\n",
-       "  const NB_LOAD_WARNING = {'data': {'text/html':\n",
-       "     \"<div style='background-color: #fdd'>\\n\"+\n",
-       "     \"<p>\\n\"+\n",
-       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
-       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
-       "     \"</p>\\n\"+\n",
-       "     \"<ul>\\n\"+\n",
-       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
-       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
-       "     \"</ul>\\n\"+\n",
-       "     \"<code>\\n\"+\n",
-       "     \"from bokeh.resources import INLINE\\n\"+\n",
-       "     \"output_notebook(resources=INLINE)\\n\"+\n",
-       "     \"</code>\\n\"+\n",
-       "     \"</div>\"}};\n",
-       "\n",
-       "  function display_loaded() {\n",
-       "    const el = document.getElementById(\"1002\");\n",
-       "    if (el != null) {\n",
-       "      el.textContent = \"BokehJS is loading...\";\n",
-       "    }\n",
-       "    if (root.Bokeh !== undefined) {\n",
-       "      if (el != null) {\n",
-       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
-       "      }\n",
-       "    } else if (Date.now() < root._bokeh_timeout) {\n",
-       "      setTimeout(display_loaded, 100)\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  function run_callbacks() {\n",
-       "    try {\n",
-       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
-       "        if (callback != null)\n",
-       "          callback();\n",
-       "      });\n",
-       "    } finally {\n",
-       "      delete root._bokeh_onload_callbacks\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
-       "  }\n",
-       "\n",
-       "  function load_libs(css_urls, js_urls, callback) {\n",
-       "    if (css_urls == null) css_urls = [];\n",
-       "    if (js_urls == null) js_urls = [];\n",
-       "\n",
-       "    root._bokeh_onload_callbacks.push(callback);\n",
-       "    if (root._bokeh_is_loading > 0) {\n",
-       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
-       "      return null;\n",
-       "    }\n",
-       "    if (js_urls == null || js_urls.length === 0) {\n",
-       "      run_callbacks();\n",
-       "      return null;\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
-       "\n",
-       "    function on_load() {\n",
-       "      root._bokeh_is_loading--;\n",
-       "      if (root._bokeh_is_loading === 0) {\n",
-       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
-       "        run_callbacks()\n",
-       "      }\n",
-       "    }\n",
-       "\n",
-       "    function on_error(url) {\n",
-       "      console.error(\"failed to load \" + url);\n",
-       "    }\n",
-       "\n",
-       "    for (let i = 0; i < css_urls.length; i++) {\n",
-       "      const url = css_urls[i];\n",
-       "      const element = document.createElement(\"link\");\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error.bind(null, url);\n",
-       "      element.rel = \"stylesheet\";\n",
-       "      element.type = \"text/css\";\n",
-       "      element.href = url;\n",
-       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
-       "      document.body.appendChild(element);\n",
-       "    }\n",
-       "\n",
-       "    for (let i = 0; i < js_urls.length; i++) {\n",
-       "      const url = js_urls[i];\n",
-       "      const element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error.bind(null, url);\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "  };\n",
-       "\n",
-       "  function inject_raw_css(css) {\n",
-       "    const element = document.createElement(\"style\");\n",
-       "    element.appendChild(document.createTextNode(css));\n",
-       "    document.body.appendChild(element);\n",
-       "  }\n",
-       "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n",
-       "  const css_urls = [];\n",
-       "\n",
-       "  const inline_js = [    function(Bokeh) {\n",
-       "      Bokeh.set_log_level(\"info\");\n",
-       "    },\n",
-       "function(Bokeh) {\n",
-       "    }\n",
-       "  ];\n",
-       "\n",
-       "  function run_inline_js() {\n",
-       "    if (root.Bokeh !== undefined || force === true) {\n",
-       "          for (let i = 0; i < inline_js.length; i++) {\n",
-       "      inline_js[i].call(root, root.Bokeh);\n",
-       "    }\n",
-       "if (force === true) {\n",
-       "        display_loaded();\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
-       "      setTimeout(run_inline_js, 100);\n",
-       "    } else if (!root._bokeh_failed_load) {\n",
-       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
-       "      root._bokeh_failed_load = true;\n",
-       "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
-       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  if (root._bokeh_is_loading === 0) {\n",
-       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
-       "    run_inline_js();\n",
-       "  } else {\n",
-       "    load_libs(css_urls, js_urls, function() {\n",
-       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "      run_inline_js();\n",
-       "    });\n",
-       "  }\n",
-       "}(window));"
-      ],
-      "application/vnd.bokehjs_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "  <div class=\"bk-root\" id=\"756bcecf-5d05-4b33-b3f9-817acf206cf6\" data-root-id=\"1003\"></div>\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "(function(root) {\n",
-       "  function embed_document(root) {\n",
-       "  const docs_json = {\"27a5602b-a100-49a8-be71-4c1a30cbf69c\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1014\"}],\"center\":[{\"id\":\"1017\"},{\"id\":\"1021\"},{\"id\":\"1052\"}],\"left\":[{\"id\":\"1018\"}],\"renderers\":[{\"id\":\"1040\"},{\"id\":\"1058\"},{\"id\":\"1077\"},{\"id\":\"1098\"},{\"id\":\"1121\"}],\"title\":{\"id\":\"1004\"},\"toolbar\":{\"id\":\"1029\"},\"width\":700,\"x_range\":{\"id\":\"1006\"},\"x_scale\":{\"id\":\"1010\"},\"y_range\":{\"id\":\"1008\"},\"y_scale\":{\"id\":\"1012\"}},\"id\":\"1003\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#fc8d59\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1119\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1113\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"Population, total (World Bank)\",\"text_font_size\":\"12pt\"},\"id\":\"1004\",\"type\":\"Title\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#fee08b\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1097\",\"type\":\"Line\"},{\"attributes\":{\"axis\":{\"id\":\"1014\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1017\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1114\",\"type\":\"Selection\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1094\"},\"glyph\":{\"id\":\"1095\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1097\"},\"nonselection_glyph\":{\"id\":\"1096\"},\"view\":{\"id\":\"1099\"}},\"id\":\"1098\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#99d594\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1056\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1138\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"label\":{\"value\":\"Russian Federation\"},\"renderers\":[{\"id\":\"1098\"}]},\"id\":\"1116\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1139\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1027\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1070\",\"type\":\"Selection\"},{\"attributes\":{\"label\":{\"value\":\"Brazil\"},\"renderers\":[{\"id\":\"1040\"}]},\"id\":\"1053\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1069\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#99d594\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1057\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1090\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis\":{\"id\":\"1018\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1021\",\"type\":\"Grid\"},{\"attributes\":{\"label\":{\"value\":\"South 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total (in millions)\",\"coordinates\":null,\"formatter\":{\"id\":\"1044\"},\"group\":null,\"major_label_policy\":{\"id\":\"1045\"},\"ticker\":{\"id\":\"1019\"}},\"id\":\"1018\",\"type\":\"LinearAxis\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#3288bd\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1039\",\"type\":\"Line\"},{\"attributes\":{\"source\":{\"id\":\"1117\"}},\"id\":\"1122\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1010\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1036\"},\"glyph\":{\"id\":\"1037\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1039\"},\"nonselection_glyph\":{\"id\":\"1038\"},\"view\":{\"id\":\"1041\"}},\"id\":\"1040\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1117\"},\"glyph\":{\"id\":\"1118\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1120\"},\"nonselection_glyph\":{\"id\":\"1119\"},\"view\":{\"id\":\"1122\"}},\"id\":\"1121\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"click_policy\":\"mute\",\"coordinates\":null,\"group\":null,\"items\":[{\"id\":\"1053\"},{\"id\":\"1072\"},{\"id\":\"1093\"},{\"id\":\"1116\"},{\"id\":\"1141\"}],\"location\":\"right\"},\"id\":\"1052\",\"type\":\"Legend\"},{\"attributes\":{\"axis_label\":\"Year\",\"coordinates\":null,\"formatter\":{\"id\":\"1047\"},\"group\":null,\"major_label_policy\":{\"id\":\"1048\"},\"ticker\":{\"id\":\"1015\"}},\"id\":\"1014\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data\":{\"x\":[\"1960\",\"1961\",\"1962\",\"1963\",\"1964\",\"1965\",\"1966\",\"1967\",\"1968\",\"1969\",\"1970\",\"1971\",\"1972\",\"1973\",\"1974\",\"1975\",\"1976\",\"1977\",\"1978\",\"1979\",\"1980\",\"1981\",\"1982\",\"1983\",\"1984\",\"1985\",\"1986\",\"1987\",\"1988\",\"1989\",\"1990\",\"1991\",\"1992\",\"1993\",\"1994\",\"1995\",\"1996\",\"1997\",\"1998\",\"1999\",\"2000\",\"2001\",\"2002\",\"2003\",\"2004\",\"2005\",\"2006\",\"2007\",\"2008\",\"2009\",\"2010\",\"2011\",\"2012\",\"2013\",\"2014\",\"2015\",\"2016\",\"2017\",\"2018\",\"2019\",\"2020\",\"2021\"],\"y\":[667070000,660330000,665770000,682335000,698355000,715185000,735400000,754550000,774510000,796025000,818315000,841105000,862030000,881940000,900350000,916395000,930685000,943455000,956165000,969005000,981235000,993885000,1008630000,1023310000,1036825000,1051040000,1066790000,1084035000,1101630000,1118650000,1135185000,1150780000,1164970000,1178440000,1191835000,1204855000,1217550000,1230075000,1241935000,1252735000,1262645000,1271850000,1280400000,1288400000,1296075000,1303720000,1311020000,1317885000,1324655000,1331260000,1337705000,1345035000,1354190000,1363240000,1371860000,1379860000,1387790000,1396215000,1402760000,1407745000,1411100000,1412360000]},\"selected\":{\"id\":\"1070\"},\"selection_policy\":{\"id\":\"1069\"}},\"id\":\"1054\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":\"#3288bd\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1037\",\"type\":\"Line\"},{\"attributes\":{\"label\":{\"value\":\"China\"},\"renderers\":[{\"id\":\"1058\"}]},\"id\":\"1072\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1006\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1015\",\"type\":\"BasicTicker\"}],\"root_ids\":[\"1003\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
-       "  const render_items = [{\"docid\":\"27a5602b-a100-49a8-be71-4c1a30cbf69c\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"756bcecf-5d05-4b33-b3f9-817acf206cf6\"}}];\n",
-       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "  }\n",
-       "  if (root.Bokeh !== undefined) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    let attempts = 0;\n",
-       "    const timer = setInterval(function(root) {\n",
-       "      if (root.Bokeh !== undefined) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else {\n",
-       "        attempts++;\n",
-       "        if (attempts > 100) {\n",
-       "          clearInterval(timer);\n",
-       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
-       "        }\n",
-       "      }\n",
-       "    }, 10, root)\n",
-       "  }\n",
-       "})(window);"
-      ],
-      "application/vnd.bokehjs_exec.v0+json": ""
-     },
-     "metadata": {
-      "application/vnd.bokehjs_exec.v0+json": {
-       "id": "1003"
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import itertools\n",
-    "\n",
-    "import bokeh\n",
-    "from bokeh.palettes import Spectral6\n",
-    "from bokeh.plotting import figure, output_notebook, show\n",
-    "\n",
-    "output_notebook()\n",
-    "\n",
-    "# instantiating the figure object\n",
-    "p = figure(title=\"Population, total (World Bank)\", width=700, height=600)\n",
-    "\n",
-    "# colors\n",
-    "colors = itertools.cycle(Spectral6)\n",
-    "\n",
-    "# plotting the line graph\n",
-    "for column, color in zip(df.columns, colors):\n",
-    "    p.line(\n",
-    "        df.index,\n",
-    "        df[column],\n",
-    "        legend_label=column,\n",
-    "        color=color,\n",
-    "        line_width=2,\n",
-    "    )\n",
-    "\n",
-    "p.legend.location = \"right\"\n",
-    "p.legend.click_policy = \"mute\"\n",
-    "p.title.text_font_size = \"12pt\"\n",
-    "\n",
-    "p.xaxis.axis_label = \"Year\"\n",
-    "p.yaxis.axis_label = \"Population, total (in millions)\"\n",
-    "\n",
-    "show(p)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.10"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "b6702b69e93007336b96338c5a331192f07cedff01d36d4dcfa0f842adb718ad"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/static/.DS_Store b/static/.DS_Store
deleted file mode 100644
index 80dc61d..0000000
Binary files a/static/.DS_Store and /dev/null differ