4) Waffle-Charts and-Regression-Plots.ipynb

{
  "metadata": {
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "version_major": 2,
        "version_minor": 0,
        "state": {}
      }
    },
    "kernelspec": {
      "name": "python",
      "display_name": "Python (Pyodide)",
      "language": "python"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "python",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8"
    }
  },
  "nbformat_minor": 4,
  "nbformat": 4,
  "cells": [
    {
      "cell_type": "markdown",
      "source": "<center>\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/labs/Module%204/logo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n</center>\n\n# Waffle Charts and Regression Plots\n\nEstimated time needed: **30** minutes\n\n## Objectives\n\nAfter completing this lab you will be able to:\n\n*   Waffle charts\n*   Create regression plots with Seaborn library\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "## Table of Contents\n\n<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n\n1.  [Exploring Datasets with *p*andas](#0)<br>\n2.  [Downloading and Prepping Data](#2)<br>\n3.  [Visualizing Data using Matplotlib](#4) <br>\n4.  [Waffle Charts](#6) <br>\n5.  [Word Clouds](#8) <br>\n6.  [Regression Plots](#10) <br>\n\n</div>\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "jp-MarkdownHeadingCollapsed": true,
        "tags": []
      }
    },
    {
      "cell_type": "markdown",
      "source": "# Exploring Datasets with *pandas* and Matplotlib<a id=\"0\"></a>\n\nToolkits: The course heavily relies on [*pandas*](http://pandas.pydata.org/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2021-01-01) and [*Numpy*](http://www.numpy.org/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2021-01-01) for data wrangling, analysis, and visualization. The primary plotting library we will explore in the course is [Matplotlib](http://matplotlib.org/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2021-01-01).\n\nDataset: Immigration to Canada from 1980 to 2013 - [International migration flows to and from selected countries - The 2015 revision](http://www.un.org/en/development/desa/population/migration/data/empirical2/migrationflows.shtml?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2021-01-01) from United Nation's website\n\nThe dataset contains annual data on the flows of international migrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous / next residence both for foreigners and nationals. In this lab, we will focus on the Canadian Immigration data.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "# Downloading and Prepping Data <a id=\"2\"></a>\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "The first thing we'll do is install **openpyxl** (formerly **xlrd**), a module that *pandas* requires to read Excel files.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "import piplite\n\nawait piplite.install(['openpyxl==3.0.9', 'seaborn'])",
      "metadata": {
        "trusted": true
      },
      "execution_count": 74,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "Import Primary Modules:\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "import numpy as np  # useful for many scientific computing in Python\nimport pandas as pd # primary data structure library\nfrom PIL import Image # converting images into arrays",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "Download the Canadian Immigration dataset and read it into a *pandas* dataframe.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "from js import fetch\nimport io\n\nURL = 'https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/Canada.xlsx'\nresp = await fetch(URL)\ntext = io.BytesIO((await resp.arrayBuffer()).to_py())\n\ndf_can = pd.read_excel(\n    text,\n    sheet_name='Canada by Citizenship',\n    skiprows=range(20),\n    skipfooter=2)\n\nprint('Data downloaded and read into a dataframe!')",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 76,
      "outputs": [
        {
          "name": "stdout",
          "text": "Data downloaded and read into a dataframe!\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Let's take a look at the first five items in our dataset\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "df_can.head()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 77,
      "outputs": [
        {
          "execution_count": 77,
          "output_type": "execute_result",
          "data": {
            "text/plain": "         Type    Coverage          OdName  AREA AreaName   REG  \\\n0  Immigrants  Foreigners     Afghanistan   935     Asia  5501   \n1  Immigrants  Foreigners         Albania   908   Europe   925   \n2  Immigrants  Foreigners         Algeria   903   Africa   912   \n3  Immigrants  Foreigners  American Samoa   909  Oceania   957   \n4  Immigrants  Foreigners         Andorra   908   Europe   925   \n\n           RegName  DEV             DevName  1980  ...  2004  2005  2006  \\\n0    Southern Asia  902  Developing regions    16  ...  2978  3436  3009   \n1  Southern Europe  901   Developed regions     1  ...  1450  1223   856   \n2  Northern Africa  902  Developing regions    80  ...  3616  3626  4807   \n3        Polynesia  902  Developing regions     0  ...     0     0     1   \n4  Southern Europe  901   Developed regions     0  ...     0     0     1   \n\n   2007  2008  2009  2010  2011  2012  2013  \n0  2652  2111  1746  1758  2203  2635  2004  \n1   702   560   716   561   539   620   603  \n2  3623  4005  5393  4752  4325  3774  4331  \n3     0     0     0     0     0     0     0  \n4     1     0     0     0     0     1     1  \n\n[5 rows x 43 columns]",
            "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>Type</th>\n      <th>Coverage</th>\n      <th>OdName</th>\n      <th>AREA</th>\n      <th>AreaName</th>\n      <th>REG</th>\n      <th>RegName</th>\n      <th>DEV</th>\n      <th>DevName</th>\n      <th>1980</th>\n      <th>...</th>\n      <th>2004</th>\n      <th>2005</th>\n      <th>2006</th>\n      <th>2007</th>\n      <th>2008</th>\n      <th>2009</th>\n      <th>2010</th>\n      <th>2011</th>\n      <th>2012</th>\n      <th>2013</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Immigrants</td>\n      <td>Foreigners</td>\n      <td>Afghanistan</td>\n      <td>935</td>\n      <td>Asia</td>\n      <td>5501</td>\n      <td>Southern Asia</td>\n      <td>902</td>\n      <td>Developing regions</td>\n      <td>16</td>\n      <td>...</td>\n      <td>2978</td>\n      <td>3436</td>\n      <td>3009</td>\n      <td>2652</td>\n      <td>2111</td>\n      <td>1746</td>\n      <td>1758</td>\n      <td>2203</td>\n      <td>2635</td>\n      <td>2004</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Immigrants</td>\n      <td>Foreigners</td>\n      <td>Albania</td>\n      <td>908</td>\n      <td>Europe</td>\n      <td>925</td>\n      <td>Southern Europe</td>\n      <td>901</td>\n      <td>Developed regions</td>\n      <td>1</td>\n      <td>...</td>\n      <td>1450</td>\n      <td>1223</td>\n      <td>856</td>\n      <td>702</td>\n      <td>560</td>\n      <td>716</td>\n      <td>561</td>\n      <td>539</td>\n      <td>620</td>\n      <td>603</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Immigrants</td>\n      <td>Foreigners</td>\n      <td>Algeria</td>\n      <td>903</td>\n      <td>Africa</td>\n      <td>912</td>\n      <td>Northern Africa</td>\n      <td>902</td>\n      <td>Developing regions</td>\n      <td>80</td>\n      <td>...</td>\n      <td>3616</td>\n      <td>3626</td>\n      <td>4807</td>\n      <td>3623</td>\n      <td>4005</td>\n      <td>5393</td>\n      <td>4752</td>\n      <td>4325</td>\n      <td>3774</td>\n      <td>4331</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Immigrants</td>\n      <td>Foreigners</td>\n      <td>American Samoa</td>\n      <td>909</td>\n      <td>Oceania</td>\n      <td>957</td>\n      <td>Polynesia</td>\n      <td>902</td>\n      <td>Developing regions</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Immigrants</td>\n      <td>Foreigners</td>\n      <td>Andorra</td>\n      <td>908</td>\n      <td>Europe</td>\n      <td>925</td>\n      <td>Southern Europe</td>\n      <td>901</td>\n      <td>Developed regions</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 43 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Let's find out how many entries there are in our dataset\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # print the dimensions of the dataframe\nprint(df_can.shape)",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 78,
      "outputs": [
        {
          "name": "stdout",
          "text": "(195, 43)\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Clean up data. We will make some modifications to the original dataset to make it easier to create our visualizations. Refer to *Introduction to Matplotlib and Line Plots* and *Area Plots, Histograms, and Bar Plots* for a detailed description of this preprocessing.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # clean up the dataset to remove unnecessary columns (eg. REG) \ndf_can.drop(['AREA','REG','DEV','Type','Coverage'], axis = 1, inplace = True)\n\n  # let's rename the columns so that they make sense\ndf_can.rename (columns = {'OdName':'Country', 'AreaName':'Continent','RegName':'Region'}, inplace = True)\n\n  # for sake of consistency, let's also make all column labels of type string\ndf_can.columns = list(map(str, df_can.columns))\n\n  # set the country name as index - useful for quickly looking up countries using .loc method\ndf_can.set_index('Country', inplace = True)\n\n  # add total column\ndf_can['Total'] =  df_can.sum (axis = 1)\n\n  # years that we will be using in this lesson - useful for plotting later on\nyears = list(map(str, range(1980, 2014)))\nprint ('data dimensions:', df_can.shape)",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 79,
      "outputs": [
        {
          "name": "stderr",
          "text": "<ipython-input-79-92cc0d23d11f>:14: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.\n  df_can['Total'] =  df_can.sum (axis = 1)\n",
          "output_type": "stream"
        },
        {
          "name": "stdout",
          "text": "data dimensions: (195, 38)\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "# Visualizing Data using Matplotlib<a id=\"4\"></a>\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "Import and setup `matplotlib`:\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "%matplotlib inline\n\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\nimport matplotlib.patches as mpatches # needed for waffle Charts\n\nmpl.style.use('ggplot') # optional: for ggplot-like style\n\n  # check for latest version of Matplotlib\nprint ('Matplotlib version: ', mpl.__version__) # >= 2.0.0",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 80,
      "outputs": [
        {
          "name": "stdout",
          "text": "Matplotlib version:  3.5.2\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "# Waffle Charts <a id=\"6\"></a>\n\nA `waffle chart` is an interesting visualization that is normally created to display progress toward goals. It is commonly an effective option when you are trying to add interesting visualization features to a visual that consists mainly of cells, such as an Excel dashboard.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "Let's revisit the previous case study about Denmark, Norway, and Sweden.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # let's create a new dataframe for these three countries \ndf_dsn = df_can.loc[['Denmark', 'Norway', 'Sweden'], :]\n\n  # let's take a look at our dataframe\ndf_dsn",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 81,
      "outputs": [
        {
          "execution_count": 81,
          "output_type": "execute_result",
          "data": {
            "text/plain": "        Continent           Region            DevName  1980  1981  1982  1983  \\\nCountry                                                                         \nDenmark    Europe  Northern Europe  Developed regions   272   293   299   106   \nNorway     Europe  Northern Europe  Developed regions   116    77   106    51   \nSweden     Europe  Northern Europe  Developed regions   281   308   222   176   \n\n         1984  1985  1986  ...  2005  2006  2007  2008  2009  2010  2011  \\\nCountry                    ...                                             \nDenmark    93    73    93  ...    62   101    97   108    81    92    93   \nNorway     31    54    56  ...    57    53    73    66    75    46    49   \nSweden    128   158   187  ...   205   139   193   165   167   159   134   \n\n         2012  2013  Total  \nCountry                     \nDenmark    94    81   3901  \nNorway     53    59   2327  \nSweden    140   140   5866  \n\n[3 rows x 38 columns]",
            "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>Continent</th>\n      <th>Region</th>\n      <th>DevName</th>\n      <th>1980</th>\n      <th>1981</th>\n      <th>1982</th>\n      <th>1983</th>\n      <th>1984</th>\n      <th>1985</th>\n      <th>1986</th>\n      <th>...</th>\n      <th>2005</th>\n      <th>2006</th>\n      <th>2007</th>\n      <th>2008</th>\n      <th>2009</th>\n      <th>2010</th>\n      <th>2011</th>\n      <th>2012</th>\n      <th>2013</th>\n      <th>Total</th>\n    </tr>\n    <tr>\n      <th>Country</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></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>Denmark</th>\n      <td>Europe</td>\n      <td>Northern Europe</td>\n      <td>Developed regions</td>\n      <td>272</td>\n      <td>293</td>\n      <td>299</td>\n      <td>106</td>\n      <td>93</td>\n      <td>73</td>\n      <td>93</td>\n      <td>...</td>\n      <td>62</td>\n      <td>101</td>\n      <td>97</td>\n      <td>108</td>\n      <td>81</td>\n      <td>92</td>\n      <td>93</td>\n      <td>94</td>\n      <td>81</td>\n      <td>3901</td>\n    </tr>\n    <tr>\n      <th>Norway</th>\n      <td>Europe</td>\n      <td>Northern Europe</td>\n      <td>Developed regions</td>\n      <td>116</td>\n      <td>77</td>\n      <td>106</td>\n      <td>51</td>\n      <td>31</td>\n      <td>54</td>\n      <td>56</td>\n      <td>...</td>\n      <td>57</td>\n      <td>53</td>\n      <td>73</td>\n      <td>66</td>\n      <td>75</td>\n      <td>46</td>\n      <td>49</td>\n      <td>53</td>\n      <td>59</td>\n      <td>2327</td>\n    </tr>\n    <tr>\n      <th>Sweden</th>\n      <td>Europe</td>\n      <td>Northern Europe</td>\n      <td>Developed regions</td>\n      <td>281</td>\n      <td>308</td>\n      <td>222</td>\n      <td>176</td>\n      <td>128</td>\n      <td>158</td>\n      <td>187</td>\n      <td>...</td>\n      <td>205</td>\n      <td>139</td>\n      <td>193</td>\n      <td>165</td>\n      <td>167</td>\n      <td>159</td>\n      <td>134</td>\n      <td>140</td>\n      <td>140</td>\n      <td>5866</td>\n    </tr>\n  </tbody>\n</table>\n<p>3 rows × 38 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Unfortunately, unlike R, `waffle` charts are not built into any of the Python visualization libraries. Therefore, we will learn how to create them from scratch.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "**Step 1.** The first step into creating a waffle chart is determing the proportion of each category with respect to the total.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # compute the proportion of each category with respect to the total\ntotal_values = df_dsn['Total'].sum()\ncategory_proportions = df_dsn['Total'] / total_values\n\n  # print out proportions\npd.DataFrame({\"Category Proportion\": category_proportions})",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 82,
      "outputs": [
        {
          "execution_count": 82,
          "output_type": "execute_result",
          "data": {
            "text/plain": "         Category Proportion\nCountry                     \nDenmark             0.322557\nNorway              0.192409\nSweden              0.485034",
            "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>Category Proportion</th>\n    </tr>\n    <tr>\n      <th>Country</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Denmark</th>\n      <td>0.322557</td>\n    </tr>\n    <tr>\n      <th>Norway</th>\n      <td>0.192409</td>\n    </tr>\n    <tr>\n      <th>Sweden</th>\n      <td>0.485034</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "**Step 2.** The second step is defining the overall size of the `waffle` chart.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "width = 40 # width of chart\nheight = 10 # height of chart\n\ntotal_num_tiles = width * height # total number of tiles\n\nprint(f'Total number of tiles is {total_num_tiles}.')",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 83,
      "outputs": [
        {
          "name": "stdout",
          "text": "Total number of tiles is 400.\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "**Step 3.** The third step is using the proportion of each category to determe it respective number of tiles\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # compute the number of tiles for each category\ntiles_per_category = (category_proportions * total_num_tiles).round().astype(int)\n\n  # print out number of tiles per category\npd.DataFrame({\"Number of tiles\": tiles_per_category})",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 84,
      "outputs": [
        {
          "execution_count": 84,
          "output_type": "execute_result",
          "data": {
            "text/plain": "         Number of tiles\nCountry                 \nDenmark              129\nNorway                77\nSweden               194",
            "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>Number of tiles</th>\n    </tr>\n    <tr>\n      <th>Country</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Denmark</th>\n      <td>129</td>\n    </tr>\n    <tr>\n      <th>Norway</th>\n      <td>77</td>\n    </tr>\n    <tr>\n      <th>Sweden</th>\n      <td>194</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Based on the calculated proportions, Denmark will occupy 129 tiles of the `waffle` chart, Norway will occupy 77 tiles, and Sweden will occupy 194 tiles.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "**Step 4.** The fourth step is creating a matrix that resembles the `waffle` chart and populating it.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # initialize the waffle chart as an empty matrix\nwaffle_chart = np.zeros((height, width), dtype = np.uint)\n\n  # define indices to loop through waffle chart\ncategory_index = 0\ntile_index = 0\n\n  # populate the waffle chart\nfor col in range(width):\n    for row in range(height):\n        tile_index += 1\n\n          # if the number of tiles populated for the current category is equal to its corresponding allocated tiles...\n        if tile_index > sum(tiles_per_category[0:category_index]):\n            # ...proceed to the next category\n            category_index += 1       \n            \n          # set the class value to an integer, which increases with class\n        waffle_chart[row, col] = category_index\n        \nprint ('Waffle chart populated!')",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 85,
      "outputs": [
        {
          "name": "stdout",
          "text": "Waffle chart populated!\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Let's take a peek at how the matrix looks like.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "waffle_chart",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 86,
      "outputs": [
        {
          "execution_count": 86,
          "output_type": "execute_result",
          "data": {
            "text/plain": "array([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3,\n        3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]],\n      dtype=uint32)"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "As expected, the matrix consists of three categories and the total number of each category's instances matches the total number of tiles allocated to each category.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "**Step 5.** Map the `waffle` chart matrix into a visual.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # instantiate a new figure object\nfig = plt.figure()\n\n  # use matshow to display the waffle chart\ncolormap = plt.cm.coolwarm\nplt.matshow(waffle_chart, cmap=colormap)\nplt.colorbar()\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "tags": [],
        "trusted": true
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 0 Axes>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1600x400 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "**Step 6.** Prettify the chart.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # instantiate a new figure object\nfig = plt.figure()\n\n  # use matshow to display the waffle chart\ncolormap = plt.cm.coolwarm\nplt.matshow(waffle_chart, cmap=colormap)\nplt.colorbar()\n\n  # get the axis\nax = plt.gca()\n\n  # set minor ticks\nax.set_xticks(np.arange(-.5, (width), 1), minor=True)\nax.set_yticks(np.arange(-.5, (height), 1), minor=True)\n    \n  # add gridlines based on minor ticks\nax.grid(which='minor', color='w', linestyle='-', linewidth=2)\n\nplt.xticks([])\nplt.yticks([])\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 0 Axes>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1600x400 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "**Step 7.** Create a legend and add it to chart.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # instantiate a new figure object\nfig = plt.figure()\n\n  # use matshow to display the waffle chart\ncolormap = plt.cm.coolwarm\nplt.matshow(waffle_chart, cmap=colormap)\nplt.colorbar()\n\n  # get the axis\nax = plt.gca()\n\n  # set minor ticks\nax.set_xticks(np.arange(-.5, (width), 1), minor=True)\nax.set_yticks(np.arange(-.5, (height), 1), minor=True)\n    \n  # add gridlines based on minor ticks\nax.grid(which='minor', color='w', linestyle='-', linewidth=2)\n\nplt.xticks([])\nplt.yticks([])\n\n  # compute cumulative sum of individual categories to match color schemes between chart and legend\nvalues_cumsum = np.cumsum(df_dsn['Total'])\ntotal_values = values_cumsum[len(values_cumsum) - 1]\n\n  # create legend\nlegend_handles = []\nfor i, category in enumerate(df_dsn.index.values):\n    label_str = category + ' (' + str(df_dsn['Total'][i]) + ')'\n    color_val = colormap(float(values_cumsum[i])/total_values)\n    legend_handles.append(mpatches.Patch(color=color_val, label=label_str))\n\n  # add legend to chart\nplt.legend(handles=legend_handles,\n           loc='lower center', \n           ncol=len(df_dsn.index.values),\n           bbox_to_anchor=(0., -0.2, 0.95, .1)\n          )\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 0 Axes>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1600x400 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "And there you go! What a good looking *delicious* `waffle` chart, don't you think?\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "Now it would very inefficient to repeat these seven steps every time we wish to create a `waffle` chart. So let's combine all seven steps into one function called *create_waffle_chart*. This function would take the following parameters as input:\n\n> 1.  **categories**: Unique categories or classes in dataframe.\n> 2.  **values**: Values corresponding to categories or classes.\n> 3.  **height**: Defined height of waffle chart.\n> 4.  **width**: Defined width of waffle chart.\n> 5.  **colormap**: Colormap class\n> 6.  **value_sign**: In order to make our function more generalizable, we will add this parameter to address signs that could be associated with a value such as %, $, and so on. **value_sign** has a default value of empty string.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "def create_waffle_chart(categories, values, height, width, colormap, value_sign=''):\n\n      # compute the proportion of each category with respect to the total\n    total_values = sum(values)\n    category_proportions = [(float(value) / total_values) for value in values]\n\n      # compute the total number of tiles\n    total_num_tiles = width * height # total number of tiles\n    print ('Total number of tiles is', total_num_tiles)\n    \n      # compute the number of tiles for each catagory\n    tiles_per_category = [round(proportion * total_num_tiles) for proportion in category_proportions]\n\n      # print out number of tiles per category\n    for i, tiles in enumerate(tiles_per_category):\n        print (df_dsn.index.values[i] + ': ' + str(tiles))\n    \n      # initialize the waffle chart as an empty matrix\n    waffle_chart = np.zeros((height, width))\n\n      # define indices to loop through waffle chart\n    category_index = 0\n    tile_index = 0\n\n      # populate the waffle chart\n    for col in range(width):\n        for row in range(height):\n            tile_index += 1\n\n              # if the number of tiles populated for the current category \n              # is equal to its corresponding allocated tiles...\n            if tile_index > sum(tiles_per_category[0:category_index]):\n                   # ...proceed to the next category\n                category_index += 1       \n            \n            # set the class value to an integer, which increases with class\n            waffle_chart[row, col] = category_index\n    \n      # instantiate a new figure object\n    fig = plt.figure()\n\n      # use matshow to display the waffle chart\n    colormap = plt.cm.coolwarm\n    plt.matshow(waffle_chart, cmap=colormap)\n    plt.colorbar()\n\n      # get the axis\n    ax = plt.gca()\n\n      # set minor ticks\n    ax.set_xticks(np.arange(-.5, (width), 1), minor=True)\n    ax.set_yticks(np.arange(-.5, (height), 1), minor=True)\n    \n      # add dridlines based on minor ticks\n    ax.grid(which='minor', color='w', linestyle='-', linewidth=2)\n\n    plt.xticks([])\n    plt.yticks([])\n\n      # compute cumulative sum of individual categories to match color schemes between chart and legend\n    values_cumsum = np.cumsum(values)\n    total_values = values_cumsum[len(values_cumsum) - 1]\n\n      # create legend\n    legend_handles = []\n    for i, category in enumerate(categories):\n        if value_sign == '%':\n            label_str = category + ' (' + str(values[i]) + value_sign + ')'\n        else:\n            label_str = category + ' (' + value_sign + str(values[i]) + ')'\n            \n        color_val = colormap(float(values_cumsum[i])/total_values)\n        legend_handles.append(mpatches.Patch(color=color_val, label=label_str))\n\n      # add legend to chart\n    plt.legend(\n        handles=legend_handles,\n        loc='lower center', \n        ncol=len(categories),\n        bbox_to_anchor=(0., -0.2, 0.95, .1)\n    )\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "Now to create a `waffle` chart, all we have to do is call the function `create_waffle_chart`. Let's define the input parameters:\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "width = 40 # width of chart\nheight = 10 # height of chart\n\ncategories = df_dsn.index.values # categories\nvalues = df_dsn['Total'] # correponding values of categories\n\ncolormap = plt.cm.coolwarm # color map class",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 91,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "And now let's call our function to create a `waffle` chart.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "create_waffle_chart(categories, values, height, width, colormap)",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 92,
      "outputs": [
        {
          "name": "stdout",
          "text": "Total number of tiles is 400\nDenmark: 129\nNorway: 77\nSweden: 194\n",
          "output_type": "stream"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 0 Axes>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1600x400 with 2 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "There seems to be a new Python package for generating `waffle charts` called [PyWaffle](https://github.com/ligyxy/PyWaffle), but it looks like the repository is still being built. But feel free to check it out and play with it.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "df_can.head()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 93,
      "outputs": [
        {
          "execution_count": 93,
          "output_type": "execute_result",
          "data": {
            "text/plain": "               Continent           Region             DevName  1980  1981  \\\nCountry                                                                     \nAfghanistan         Asia    Southern Asia  Developing regions    16    39   \nAlbania           Europe  Southern Europe   Developed regions     1     0   \nAlgeria           Africa  Northern Africa  Developing regions    80    67   \nAmerican Samoa   Oceania        Polynesia  Developing regions     0     1   \nAndorra           Europe  Southern Europe   Developed regions     0     0   \n\n                1982  1983  1984  1985  1986  ...  2005  2006  2007  2008  \\\nCountry                                       ...                           \nAfghanistan       39    47    71   340   496  ...  3436  3009  2652  2111   \nAlbania            0     0     0     0     1  ...  1223   856   702   560   \nAlgeria           71    69    63    44    69  ...  3626  4807  3623  4005   \nAmerican Samoa     0     0     0     0     0  ...     0     1     0     0   \nAndorra            0     0     0     0     2  ...     0     1     1     0   \n\n                2009  2010  2011  2012  2013  Total  \nCountry                                              \nAfghanistan     1746  1758  2203  2635  2004  58639  \nAlbania          716   561   539   620   603  15699  \nAlgeria         5393  4752  4325  3774  4331  69439  \nAmerican Samoa     0     0     0     0     0      6  \nAndorra            0     0     0     1     1     15  \n\n[5 rows x 38 columns]",
            "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>Continent</th>\n      <th>Region</th>\n      <th>DevName</th>\n      <th>1980</th>\n      <th>1981</th>\n      <th>1982</th>\n      <th>1983</th>\n      <th>1984</th>\n      <th>1985</th>\n      <th>1986</th>\n      <th>...</th>\n      <th>2005</th>\n      <th>2006</th>\n      <th>2007</th>\n      <th>2008</th>\n      <th>2009</th>\n      <th>2010</th>\n      <th>2011</th>\n      <th>2012</th>\n      <th>2013</th>\n      <th>Total</th>\n    </tr>\n    <tr>\n      <th>Country</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></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>Afghanistan</th>\n      <td>Asia</td>\n      <td>Southern Asia</td>\n      <td>Developing regions</td>\n      <td>16</td>\n      <td>39</td>\n      <td>39</td>\n      <td>47</td>\n      <td>71</td>\n      <td>340</td>\n      <td>496</td>\n      <td>...</td>\n      <td>3436</td>\n      <td>3009</td>\n      <td>2652</td>\n      <td>2111</td>\n      <td>1746</td>\n      <td>1758</td>\n      <td>2203</td>\n      <td>2635</td>\n      <td>2004</td>\n      <td>58639</td>\n    </tr>\n    <tr>\n      <th>Albania</th>\n      <td>Europe</td>\n      <td>Southern Europe</td>\n      <td>Developed regions</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>1223</td>\n      <td>856</td>\n      <td>702</td>\n      <td>560</td>\n      <td>716</td>\n      <td>561</td>\n      <td>539</td>\n      <td>620</td>\n      <td>603</td>\n      <td>15699</td>\n    </tr>\n    <tr>\n      <th>Algeria</th>\n      <td>Africa</td>\n      <td>Northern Africa</td>\n      <td>Developing regions</td>\n      <td>80</td>\n      <td>67</td>\n      <td>71</td>\n      <td>69</td>\n      <td>63</td>\n      <td>44</td>\n      <td>69</td>\n      <td>...</td>\n      <td>3626</td>\n      <td>4807</td>\n      <td>3623</td>\n      <td>4005</td>\n      <td>5393</td>\n      <td>4752</td>\n      <td>4325</td>\n      <td>3774</td>\n      <td>4331</td>\n      <td>69439</td>\n    </tr>\n    <tr>\n      <th>American Samoa</th>\n      <td>Oceania</td>\n      <td>Polynesia</td>\n      <td>Developing regions</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>Andorra</th>\n      <td>Europe</td>\n      <td>Southern Europe</td>\n      <td>Developed regions</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>15</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 38 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "And what was the total immigration from 1980 to 2013?\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "total_immigration = df_can['Total'].sum()\ntotal_immigration",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 94,
      "outputs": [
        {
          "execution_count": 94,
          "output_type": "execute_result",
          "data": {
            "text/plain": "6409153"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "# Regression Plots <a id=\"10\"></a>\n\n> Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. You can learn more about *seaborn* by following this [link](https://seaborn.pydata.org/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2021-01-01) and more about *seaborn* regression plots by following this [link](http://seaborn.pydata.org/generated/seaborn.regplot.html?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2021-01-01).\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "In lab *Pie Charts, Box Plots, Scatter Plots, and Bubble Plots*, we learned how to create a scatter plot and then fit a regression line. It took \\~20 lines of code to create the scatter plot along with the regression fit. In this final section, we will explore *seaborn* and see how efficient it is to create regression lines and fits using this library!\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "Let's first install *seaborn*\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # install seaborn\n  # !pip3 install seaborn\n\n  # import library\nimport seaborn as sns\n\nprint('Seaborn installed and imported!')",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 95,
      "outputs": [
        {
          "name": "stdout",
          "text": "Seaborn installed and imported!\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Create a new dataframe that stores that total number of landed immigrants to Canada per year from 1980 to 2013.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "  # we can use the sum() method to get the total population per year\ndf_tot = pd.DataFrame(df_can[years].sum(axis=0))\n\n  # change the years to type float (useful for regression later on)\ndf_tot.index = map(float, df_tot.index)\n\n  # reset the index to put in back in as a column in the df_tot dataframe\ndf_tot.reset_index(inplace=True)\n\n  # rename columns\ndf_tot.columns = ['year', 'total']\n\n  # view the final dataframe\ndf_tot.head()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 96,
      "outputs": [
        {
          "execution_count": 96,
          "output_type": "execute_result",
          "data": {
            "text/plain": "     year   total\n0  1980.0   99137\n1  1981.0  110563\n2  1982.0  104271\n3  1983.0   75550\n4  1984.0   73417",
            "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>year</th>\n      <th>total</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1980.0</td>\n      <td>99137</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1981.0</td>\n      <td>110563</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1982.0</td>\n      <td>104271</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1983.0</td>\n      <td>75550</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1984.0</td>\n      <td>73417</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "With *seaborn*, generating a regression plot is as simple as calling the **regplot** function.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "sns.regplot(x='year', y='total', data=df_tot)",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "scrolled": true,
        "trusted": true
      },
      "execution_count": 97,
      "outputs": [
        {
          "execution_count": 97,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<AxesSubplot:xlabel='year', ylabel='total'>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "This is not magic; it is *seaborn*! You can also customize the color of the scatter plot and regression line. Let's change the color to green.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "sns.regplot(x='year', y='total', data=df_tot, color='green')\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "You can always customize the marker shape, so instead of circular markers, let's use `+`.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "ax = sns.regplot(x='year', y='total', data=df_tot, color='green', marker='+')\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Let's blow up the plot a little so that it is more appealing to the sight.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "plt.figure(figsize=(15, 10))\nsns.regplot(x='year', y='total', data=df_tot, color='green', marker='+')\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1500x1000 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "And let's increase the size of markers so they match the new size of the figure, and add a title and x- and y-labels.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "plt.figure(figsize=(15, 10))\nax = sns.regplot(x='year', y='total', data=df_tot, color='green', marker='+', scatter_kws={'s': 200})\n\nax.set(xlabel='Year', ylabel='Total Immigration') # add x- and y-labels\nax.set_title('Total Immigration to Canada from 1980 - 2013') # add title\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1500x1000 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "And finally increase the font size of the tickmark labels, the title, and the x- and y-labels so they don't feel left out!\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "plt.figure(figsize=(15, 10))\n\nsns.set(font_scale=1.5)\n\nax = sns.regplot(x='year', y='total', data=df_tot, color='green', marker='+', scatter_kws={'s': 200})\nax.set(xlabel='Year', ylabel='Total Immigration')\nax.set_title('Total Immigration to Canada from 1980 - 2013')\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1500x1000 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Amazing! A complete scatter plot with a regression fit with 5 lines of code only. Isn't this really amazing?\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "If you are not a big fan of the purple background, you can easily change the style to a white plain background.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "plt.figure(figsize=(15, 10))\n\nsns.set(font_scale=1.5)\nsns.set_style('ticks')  # change background to white background\n\nax = sns.regplot(x='year', y='total', data=df_tot, color='green', marker='+', scatter_kws={'s': 200})\nax.set(xlabel='Year', ylabel='Total Immigration')\nax.set_title('Total Immigration to Canada from 1980 - 2013')\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1500x1000 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Or to a white background with gridlines.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": "plt.figure(figsize=(15, 10))\n\nsns.set(font_scale=1.5)\nsns.set_style('whitegrid')\n\nax = sns.regplot(x='year', y='total', data=df_tot, color='green', marker='+', scatter_kws={'s': 200})\nax.set(xlabel='Year', ylabel='Total Immigration')\nax.set_title('Total Immigration to Canada from 1980 - 2013')\nplt.show()",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1500x1000 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "**Question**: Use seaborn to create a scatter plot with a regression line to visualize the total immigration from Denmark, Sweden, and Norway to Canada from 1980 to 2013.\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    },
    {
      "cell_type": "code",
      "source": " # create df_countries dataframe\ndf_countries = df_can.loc[['Denmark', 'Norway', 'Sweden'], years].transpose()\n\n    # create df_total by summing across three countries for each year\ndf_total = pd.DataFrame(df_countries.sum(axis=1))\n\n    # reset index in place\ndf_total.reset_index(inplace=True)\n\n    # rename columns\ndf_total.columns = ['year', 'total']\n\n    # change column year from string to int to create scatter plot\ndf_total['year'] = df_total['year'].astype(int)\n\n    # define figure size\nplt.figure(figsize=(15, 10))\n\n    # define background style and font size\nsns.set(font_scale=1.5)\nsns.set_style('whitegrid')\n\n    # generate plot and add title and axes labels\nax = sns.regplot(x='year', y='total', data=df_total, color='green', marker='+', scatter_kws={'s': 200})\nax.set(xlabel='Year', ylabel='Total Immigration')\nax.set_title('Total Immigrationn from Denmark, Sweden, and Norway to Canada from 1980 - 2013')",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        },
        "trusted": true
      },
      "execution_count": 105,
      "outputs": [
        {
          "execution_count": 105,
          "output_type": "execute_result",
          "data": {
            "text/plain": "Text(0.5, 1.0, 'Total Immigrationn from Denmark, Sweden, and Norway to Canada from 1980 - 2013')"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1500x1000 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### Thank you for completing this lab!\n\n## Author\n\n<a href=\"https://www.linkedin.com/in/aklson/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2021-01-01\" target=\"_blank\">Alex Aklson</a>\n\n## Change Log\n\n| Date (YYYY-MM-DD) | Version | Changed By    | Change Description                 |\n| ----------------- | ------- | ------------- | ---------------------------------- |\n| 2021-05-19        | 2.3     | Weiqing Wang  | Fixed typos and code smells        |\n| 2021-01-21        | 2.2     | Lakshmi Holla | Updated TOC markdown cell          |\n| 2020-11-03        | 2.1     | Lakshmi Holla | Changed URL of excel file          |\n| 2020-08-27        | 2.0     | Lavanya       | Moved lab to course repo in GitLab |\n\n## <h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n",
      "metadata": {
        "button": false,
        "new_sheet": false,
        "run_control": {
          "read_only": false
        }
      }
    }
  ]
}