provincial-gdp-by-industry-API.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": false
   },
   "source": [
    "## Provincial GDP by Industry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": false
   },
   "source": [
    "This notebook explores gross domestic product [data released by Statistics Canada on 2018-05-02](http://www.statcan.gc.ca/daily-quotidien/180502/dq180502a-eng.htm). The objective is to generate an overview of the 🇨🇦 economy, separated by provinces and industry sectors. The amounts are in `Chained (2007) dollars` (Millions).\n",
    "\n",
    "Specific Questions I want to understand:\n",
    "\n",
    "+ What are the top 10 industry sector line items in Canada? \n",
    "+ What are the top 10 industry sector line items in each province?\n",
    "\n",
    "Data was downladed directly from the API via the reference number: \"36-10-0402-01\"\n",
    "\n",
    "Full table in .csv format can be found [here](https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3610040201) \n",
    "\n",
    "> Author: [J. Colliander](http://colliand.com)  \n",
    "> Date: 2018-05-03\n",
    "\n",
    "> Modified by: Laura Gutierrez Funderburk\n",
    "> Date: 2019-02-07\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hidden": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt \n",
    "import requests\n",
    "\n",
    "\n",
    "from tqdm import tnrange, tqdm_notebook\n",
    "from time import sleep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run -i ./StatsCan/helpers.py\n",
    "%run -i ./StatsCan/scwds.py\n",
    "%run -i ./StatsCan/sc.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "27ab9fe395cf464db018eaa8daa49dd0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Downloading Dataset', max=1, style=ProgressStyle(description_…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "PARSING DATA AS PANDAS DATAFRAME\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REF_DATE</th>\n",
       "      <th>GEO</th>\n",
       "      <th>Value</th>\n",
       "      <th>North American Industry Classification System (NAICS)</th>\n",
       "      <th>SCALAR_FACTOR</th>\n",
       "      <th>VALUE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>All industries</td>\n",
       "      <td>millions</td>\n",
       "      <td>9570.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Goods-producing industries</td>\n",
       "      <td>millions</td>\n",
       "      <td>2361.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Service-producing industries</td>\n",
       "      <td>millions</td>\n",
       "      <td>7208.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Industrial production</td>\n",
       "      <td>millions</td>\n",
       "      <td>1386.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Non-durable manufacturing industries</td>\n",
       "      <td>millions</td>\n",
       "      <td>488.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Durable manufacturing industries</td>\n",
       "      <td>millions</td>\n",
       "      <td>81.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Information and communication technology sector</td>\n",
       "      <td>millions</td>\n",
       "      <td>334.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Information and communication technology, manu...</td>\n",
       "      <td>millions</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Information and communication technology, serv...</td>\n",
       "      <td>millions</td>\n",
       "      <td>334.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Energy sector</td>\n",
       "      <td>millions</td>\n",
       "      <td>441.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    REF_DATE                        GEO            Value  \\\n",
       "0 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "1 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "2 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "3 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "4 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "5 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "6 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "7 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "8 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "9 1997-01-01  Newfoundland and Labrador  Current dollars   \n",
       "\n",
       "  North American Industry Classification System (NAICS) SCALAR_FACTOR   VALUE  \n",
       "0                                     All industries         millions  9570.0  \n",
       "1                         Goods-producing industries         millions  2361.2  \n",
       "2                       Service-producing industries         millions  7208.8  \n",
       "3                              Industrial production         millions  1386.9  \n",
       "4               Non-durable manufacturing industries         millions   488.8  \n",
       "5                   Durable manufacturing industries         millions    81.9  \n",
       "6    Information and communication technology sector         millions   334.9  \n",
       "7  Information and communication technology, manu...         millions     0.8  \n",
       "8  Information and communication technology, serv...         millions   334.0  \n",
       "9                                      Energy sector         millions   441.8  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "productId = \"36-10-0402-01\"\n",
    "\n",
    "download_tables(productId);\n",
    "\n",
    "df = zip_table_to_dataframe(productId)\n",
    "\n",
    "# OPTIONAL\n",
    "# REMOVE COLUMNS\n",
    "df2 = df.drop(columns=[\"DGUID\",\"UOM_ID\",\"UOM\",\"SCALAR_ID\",\"VECTOR\",\"COORDINATE\",\"STATUS\",\"TERMINATED\",\\\n",
    "              \"DECIMALS\",\"SYMBOL\"])\n",
    "\n",
    "df2.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df2.rename(columns={'North American Industry Classification System (NAICS)': 'NAICS'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "subcategories_year = df.iloc[:,0].unique()\n",
    "\n",
    "subcategories_geog = df.iloc[:,1].unique()\n",
    "\n",
    "subcategories_value = df.iloc[:,3].unique()\n",
    "\n",
    "subcategories_NAICS = df.iloc[:,4].unique()\n",
    "\n",
    "sort_subcategories_NAICS = sorted(subcategories_NAICS)\n",
    "\n",
    "sort_subcategories_year = sorted(subcategories_year)\n",
    "\n",
    "sort_subcategories_geog = sorted(subcategories_geog)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cc802f3e9fb14bd689d66d3862859f07",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(button_style='success', description='View Data Subset', layout=Layout(height='30px', width='15%'), styl…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "5438d1268de445709a14cc4fd3b41c19",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='NAICS category:', options=('Aboriginal public administration', 'Accommodation and food s…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "0f3e1488bbc24073892f01d59efee005",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Location category:', options=('Alberta', 'British Columbia', 'Manitoba', 'New Brunswick'…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ca81cf9547854e21b7b92f3ce4eb872f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Year category:', options=(numpy.datetime64('1997-01-01T00:00:00.000000000'), numpy.datet…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "IPython.notebook.execute_cell_range(IPython.notebook.get_selected_index()+1,IPython.notebook.get_selected_index()+3)"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "IPython.notebook.execute_cell_range(IPython.notebook.get_selected_index()+1,IPython.notebook.get_selected_index()+3)"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "IPython.notebook.execute_cell_range(IPython.notebook.get_selected_index()+1,IPython.notebook.get_selected_index()+3)"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ipywidgets import widgets, VBox, HBox, Button\n",
    "from ipywidgets import Button, Layout, widgets\n",
    "from IPython.display import display, Javascript, Markdown, HTML\n",
    "\n",
    "def rerun_cell( b ):\n",
    "    \n",
    "    display(Javascript('IPython.notebook.execute_cell_range(IPython.notebook.get_selected_index()+1,IPython.notebook.get_selected_index()+3)'))    \n",
    "\n",
    "style = {'description_width': 'initial'}\n",
    "\n",
    "MD_button = widgets.Button(\n",
    "    button_style='success',\n",
    "    description=\"View Data Subset\", \n",
    "    layout=Layout(width='15%', height='30px'),\n",
    "    style=style\n",
    ")    \n",
    "MD_button.on_click( rerun_cell )\n",
    "display(MD_button)\n",
    "\n",
    "NAICS_dp = widgets.Dropdown(\n",
    "    options = sort_subcategories_NAICS, \n",
    "    description ='NAICS category:', \n",
    "    style = style, \n",
    "    disabled=False\n",
    ")\n",
    "\n",
    "\n",
    "geog_dp = widgets.Dropdown(\n",
    "    options = sort_subcategories_geog, \n",
    "    description ='Location category:', \n",
    "    style = style, \n",
    "    disabled=False\n",
    ")\n",
    "\n",
    "value_dp = widgets.Dropdown(\n",
    "    options = subcategories_value, \n",
    "    description ='Value category:', \n",
    "    style = style, \n",
    "    disabled=False\n",
    ")\n",
    "\n",
    "year_dp = widgets.Dropdown(\n",
    "    options = sort_subcategories_year, \n",
    "    description ='Year category:', \n",
    "    style = style, \n",
    "    disabled=False\n",
    ")\n",
    "\n",
    "MD_button.on_click( rerun_cell )\n",
    "display(NAICS_dp)\n",
    "display(geog_dp)\n",
    "display(year_dp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REF_DATE</th>\n",
       "      <th>GEO</th>\n",
       "      <th>Value</th>\n",
       "      <th>NAICS</th>\n",
       "      <th>SCALAR_FACTOR</th>\n",
       "      <th>VALUE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>246079</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>British Columbia</td>\n",
       "      <td>Current dollars</td>\n",
       "      <td>Aboriginal public administration</td>\n",
       "      <td>millions</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246399</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>British Columbia</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Aboriginal public administration</td>\n",
       "      <td>millions</td>\n",
       "      <td>632.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246719</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>British Columbia</td>\n",
       "      <td>Contributions to percent change</td>\n",
       "      <td>Aboriginal public administration</td>\n",
       "      <td>units</td>\n",
       "      <td>0.004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         REF_DATE               GEO                            Value  \\\n",
       "246079 2016-01-01  British Columbia                  Current dollars   \n",
       "246399 2016-01-01  British Columbia           Chained (2012) dollars   \n",
       "246719 2016-01-01  British Columbia  Contributions to percent change   \n",
       "\n",
       "                                   NAICS SCALAR_FACTOR    VALUE  \n",
       "246079  Aboriginal public administration      millions      NaN  \n",
       "246399  Aboriginal public administration      millions  632.600  \n",
       "246719  Aboriginal public administration        units     0.004  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df3 = df2.loc[(df2['REF_DATE'] == year_dp.value) & (df2['GEO'] == geog_dp.value) & \\\n",
    "            (df2[\"NAICS\"] ==NAICS_dp.value) ]\n",
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# df4 = df2.loc[(df2[\"REF_DATE\"] == \"2013-01-01\") & (df2[\"REF_DATE\"] <=  \"2017-01-01\")]\n",
    "\n",
    "def get_year_pd(dataframe,year):\n",
    "    df_year = dataframe.loc[(dataframe[\"REF_DATE\"] == str(year))]\n",
    "    df4 = df_year.rename(index=str, columns={\"VALUE\": year.split(\"-\")[0],\"GEO\":\"Geography\"})\n",
    "    df4 = df4.drop(columns=\"REF_DATE\")\n",
    "\n",
    "\n",
    "    columnsTitles = ['Geography', 'Value', 'NAICS',\\\n",
    "                    year.split(\"-\")[0]]\n",
    "\n",
    "    df4 = df4.reindex(columns=columnsTitles)\n",
    "\n",
    "    return df4\n",
    "df_2013 = get_year_pd(df2,\"2013-01-01\")\n",
    "df_2014 = get_year_pd(df2,\"2014-01-01\")\n",
    "df_2015 = get_year_pd(df2,\"2015-01-01\")\n",
    "df_2016 = get_year_pd(df2,\"2016-01-01\")\n",
    "df_2017 = get_year_pd(df2,\"2017-01-01\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_2013_ = df_2013.loc[df_2013['Value'] == 'Chained (2012) dollars']\n",
    "df_2014_ = df_2014.loc[df_2014['Value'] == 'Chained (2012) dollars']\n",
    "df_2015_ = df_2015.loc[df_2015['Value'] == 'Chained (2012) dollars']\n",
    "df_2016_ = df_2016.loc[df_2016['Value'] == 'Chained (2012) dollars']\n",
    "df_2017_ = df_2017.loc[df_2017['Value'] == 'Chained (2012) dollars']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = pd.merge(pd.merge(pd.merge(pd.merge(df_2013_,df_2014_),df_2015_),df_2016_),df_2017_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        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>Geography</th>\n",
       "      <th>Value</th>\n",
       "      <th>NAICS</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>All industries</td>\n",
       "      <td>31460.7</td>\n",
       "      <td>31116.5</td>\n",
       "      <td>30779.1</td>\n",
       "      <td>31308.3</td>\n",
       "      <td>31585.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Goods-producing industries</td>\n",
       "      <td>16013.7</td>\n",
       "      <td>15375.4</td>\n",
       "      <td>14904.4</td>\n",
       "      <td>15486.6</td>\n",
       "      <td>15779.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Service-producing industries</td>\n",
       "      <td>15465.7</td>\n",
       "      <td>15749.7</td>\n",
       "      <td>15857.5</td>\n",
       "      <td>15885.2</td>\n",
       "      <td>15908.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Industrial production</td>\n",
       "      <td>12475.0</td>\n",
       "      <td>11556.1</td>\n",
       "      <td>10876.1</td>\n",
       "      <td>11913.2</td>\n",
       "      <td>12550.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Non-durable manufacturing industries</td>\n",
       "      <td>625.5</td>\n",
       "      <td>570.4</td>\n",
       "      <td>568.4</td>\n",
       "      <td>560.8</td>\n",
       "      <td>594.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Durable manufacturing industries</td>\n",
       "      <td>258.2</td>\n",
       "      <td>292.9</td>\n",
       "      <td>362.6</td>\n",
       "      <td>317.1</td>\n",
       "      <td>352.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Information and communication technology sector</td>\n",
       "      <td>699.6</td>\n",
       "      <td>709.3</td>\n",
       "      <td>751.4</td>\n",
       "      <td>754.3</td>\n",
       "      <td>762.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Information and communication technology, manu...</td>\n",
       "      <td>10.7</td>\n",
       "      <td>10.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.5</td>\n",
       "      <td>11.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Information and communication technology, serv...</td>\n",
       "      <td>689.0</td>\n",
       "      <td>699.2</td>\n",
       "      <td>742.3</td>\n",
       "      <td>744.9</td>\n",
       "      <td>751.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Newfoundland and Labrador</td>\n",
       "      <td>Chained (2012) dollars</td>\n",
       "      <td>Energy sector</td>\n",
       "      <td>9028.7</td>\n",
       "      <td>8442.8</td>\n",
       "      <td>7281.4</td>\n",
       "      <td>8676.5</td>\n",
       "      <td>9288.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Geography                   Value  \\\n",
       "0  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "1  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "2  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "3  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "4  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "5  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "6  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "7  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "8  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "9  Newfoundland and Labrador  Chained (2012) dollars   \n",
       "\n",
       "                                               NAICS     2013     2014  \\\n",
       "0                                     All industries  31460.7  31116.5   \n",
       "1                         Goods-producing industries  16013.7  15375.4   \n",
       "2                       Service-producing industries  15465.7  15749.7   \n",
       "3                              Industrial production  12475.0  11556.1   \n",
       "4               Non-durable manufacturing industries    625.5    570.4   \n",
       "5                   Durable manufacturing industries    258.2    292.9   \n",
       "6    Information and communication technology sector    699.6    709.3   \n",
       "7  Information and communication technology, manu...     10.7     10.1   \n",
       "8  Information and communication technology, serv...    689.0    699.2   \n",
       "9                                      Energy sector   9028.7   8442.8   \n",
       "\n",
       "      2015     2016     2017  \n",
       "0  30779.1  31308.3  31585.2  \n",
       "1  14904.4  15486.6  15779.5  \n",
       "2  15857.5  15885.2  15908.7  \n",
       "3  10876.1  11913.2  12550.5  \n",
       "4    568.4    560.8    594.0  \n",
       "5    362.6    317.1    352.3  \n",
       "6    751.4    754.3    762.6  \n",
       "7      7.8      8.5     11.3  \n",
       "8    742.3    744.9    751.7  \n",
       "9   7281.4   8676.5   9288.2  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "hidden": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NAICS\n",
       "All industries                                     1812598.3\n",
       "Service-producing industries                       1269816.9\n",
       "Goods-producing industries                          541881.1\n",
       "Industrial production                               373043.0\n",
       "Public sector                                       344986.5\n",
       "Real estate and rental and leasing                  228649.1\n",
       "Real estate                                         215160.0\n",
       "Manufacturing                                       189013.6\n",
       "Energy sector                                       163787.0\n",
       "Owner-occupied dwellings                            144503.8\n",
       "Construction                                        140961.9\n",
       "Mining, quarrying, and oil and gas extraction       137422.1\n",
       "Health care and social assistance                   126040.4\n",
       "Public administration                               121394.5\n",
       "Finance and insurance                               117322.7\n",
       "Health care                                         113077.9\n",
       "Professional, scientific and technical services     104205.4\n",
       "Durable manufacturing industries                    102221.1\n",
       "Educational services                                 97669.0\n",
       "Wholesale trade                                      94613.2\n",
       "Oil and gas extraction                               92080.5\n",
       "Retail trade                                         89663.1\n",
       "Non-durable manufacturing industries                 86875.0\n",
       "Transportation and warehousing                       79093.3\n",
       "Information and communication technology sector      77853.4\n",
       "Name: 2015, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Industry sectors sorted by total value across all provinces and territories\n",
    "new_df.groupby(['NAICS']).sum()['2015'].sort_values(ascending=False).head(n=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7efdb73ab668>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## GDP vs Provinces\n",
    "pd.pivot_table(new_df,index=['Geography'], \n",
    "               aggfunc = sum, \n",
    "               values = ['2017','2016','2015','2014','2013']).sort_values(by=['2017'], \n",
    "                ascending=[False]).plot(kind='bar', figsize=(10,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7efdbc701978>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 2017 Single Largest GDP Sector Sorted\n",
    "pd.pivot_table(new_df,index=['NAICS'], \n",
    "               aggfunc = sum, values = ['2017','2016','2015','2014','2013']).sort_values(by=['2017'], \n",
    "                ascending=[False]).head(n=10).plot(kind='bar', figsize=(10,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>2017</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Geography</th>\n",
       "      <th>NAICS</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Ontario</th>\n",
       "      <th>All industries</th>\n",
       "      <td>711993.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Service-producing industries</th>\n",
       "      <td>546241.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quebec</th>\n",
       "      <th>All industries</th>\n",
       "      <td>355036.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alberta</th>\n",
       "      <th>All industries</th>\n",
       "      <td>327379.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quebec</th>\n",
       "      <th>Service-producing industries</th>\n",
       "      <td>258421.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>British Columbia</th>\n",
       "      <th>All industries</th>\n",
       "      <td>238790.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alberta</th>\n",
       "      <th>Service-producing industries</th>\n",
       "      <td>182585.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>British Columbia</th>\n",
       "      <th>Service-producing industries</th>\n",
       "      <td>181892.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ontario</th>\n",
       "      <th>Goods-producing industries</th>\n",
       "      <td>165684.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alberta</th>\n",
       "      <th>Goods-producing industries</th>\n",
       "      <td>143306.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ontario</th>\n",
       "      <th>Public sector</th>\n",
       "      <td>138594.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alberta</th>\n",
       "      <th>Industrial production</th>\n",
       "      <td>114868.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ontario</th>\n",
       "      <th>Industrial production</th>\n",
       "      <td>110293.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alberta</th>\n",
       "      <th>Energy sector</th>\n",
       "      <td>97579.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quebec</th>\n",
       "      <th>Goods-producing industries</th>\n",
       "      <td>96635.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Ontario</th>\n",
       "      <th>Real estate and rental and leasing</th>\n",
       "      <td>92404.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manufacturing</th>\n",
       "      <td>88031.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Real estate</th>\n",
       "      <td>87110.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alberta</th>\n",
       "      <th>Mining, quarrying, and oil and gas extraction</th>\n",
       "      <td>84032.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saskatchewan</th>\n",
       "      <th>All industries</th>\n",
       "      <td>81125.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quebec</th>\n",
       "      <th>Public sector</th>\n",
       "      <td>76759.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alberta</th>\n",
       "      <th>Oil and gas extraction</th>\n",
       "      <td>74589.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quebec</th>\n",
       "      <th>Industrial production</th>\n",
       "      <td>68981.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ontario</th>\n",
       "      <th>Finance and insurance</th>\n",
       "      <td>66888.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manitoba</th>\n",
       "      <th>All industries</th>\n",
       "      <td>61866.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    2017\n",
       "Geography        NAICS                                                  \n",
       "Ontario          All industries                                 711993.5\n",
       "                 Service-producing industries                   546241.1\n",
       "Quebec           All industries                                 355036.9\n",
       "Alberta          All industries                                 327379.0\n",
       "Quebec           Service-producing industries                   258421.8\n",
       "British Columbia All industries                                 238790.4\n",
       "Alberta          Service-producing industries                   182585.3\n",
       "British Columbia Service-producing industries                   181892.4\n",
       "Ontario          Goods-producing industries                     165684.9\n",
       "Alberta          Goods-producing industries                     143306.5\n",
       "Ontario          Public sector                                  138594.7\n",
       "Alberta          Industrial production                          114868.6\n",
       "Ontario          Industrial production                          110293.5\n",
       "Alberta          Energy sector                                   97579.1\n",
       "Quebec           Goods-producing industries                      96635.9\n",
       "Ontario          Real estate and rental and leasing              92404.5\n",
       "                 Manufacturing                                   88031.8\n",
       "                 Real estate                                     87110.3\n",
       "Alberta          Mining, quarrying, and oil and gas extraction   84032.9\n",
       "Saskatchewan     All industries                                  81125.1\n",
       "Quebec           Public sector                                   76759.2\n",
       "Alberta          Oil and gas extraction                          74589.0\n",
       "Quebec           Industrial production                           68981.1\n",
       "Ontario          Finance and insurance                           66888.1\n",
       "Manitoba         All industries                                  61866.2"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 2017 GDP vs Sector separated by Geography and sorted by maximum value\n",
    "pd.pivot_table(new_df,index=['Geography', 'NAICS'], \n",
    "               aggfunc = max, values = ['2017']).sort_values(by=['2017'], ascending=[False]).head(n=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7efdbc6606d8>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 2017 Individual Lines Items in the GDP breakdown of Geography X Sector\n",
    "pd.pivot_table(new_df,index=['Geography','NAICS'], \n",
    "               aggfunc = sum, values = ['2017','2016','2015','2014','2013']).sort_values(by='2017', ascending=False).head(n=10).plot(\n",
    "                kind='bar', figsize=(10, 6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": false
   },
   "source": [
    "The GDP from `Alberta, Oil and gas extraction [211]` is comparable to the GDP from `Ontario, Real estate [531]`. The GDP from `British Columbia (66), Real Estate [531]` is about half the size of the contribution from Alberta Oil and Gas and Ontario Real Estate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": false
   },
   "source": [
    "## Analyze Provincial GDP across Sectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Newfoundland and Labrador, Prince Edward Island, Nova Scotia, New Brunswick, Quebec, ..., Alberta, British Columbia, Yukon, Northwest Territories, Nunavut]\n",
       "Length: 13\n",
       "Categories (13, object): [Newfoundland and Labrador, Prince Edward Island, Nova Scotia, New Brunswick, ..., British Columbia, Yukon, Northwest Territories, Nunavut]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df['Geography'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "hidden": false
   },
   "outputs": [],
   "source": [
    "provinces = ['Newfoundland and Labrador', 'Prince Edward Island', 'Nova Scotia',\n",
    "       'New Brunswick', 'Quebec', 'Ontario', 'Manitoba', 'Saskatchewan',\n",
    "       'Alberta', 'British Columbia (66)', 'Yukon',\n",
    "       'Northwest Territories', 'Nunavut']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "hidden": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7efdbc4c6b38>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "whichprovince = 'British Columbia'\n",
    "pd.pivot_table(new_df.loc[new_df['Geography']== whichprovince],index=['NAICS'], \n",
    "               aggfunc = sum, values = ['2017','2016','2015','2014','2013']).sort_values(by='2017', ascending=False).head(n=20).plot(\n",
    "                kind='bar', cmap=\"viridis\", figsize=(16, 10), title= whichprovince)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7efdbc384630>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "whichprovince = 'Alberta'\n",
    "pd.pivot_table(new_df.loc[new_df['Geography']== whichprovince],index=['NAICS'], \n",
    "               aggfunc = sum, values = ['2017','2016','2015','2014','2013']).sort_values(by='2017', ascending=False).head(n=20).plot(\n",
    "                kind='bar', cmap=\"viridis\", figsize=(12, 7), title= whichprovince)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7efdbc22b400>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "whichprovince = 'Alberta'\n",
    "pd.pivot_table(new_df.loc[new_df['Geography']== whichprovince],index=['NAICS'], \n",
    "               aggfunc = sum, values = ['2017']).sort_values(by='2017', ascending=False).head(n=15).plot(\n",
    "                kind='pie', subplots=True, title= whichprovince, legend=False, figsize=(6,6), autopct='%1.1f%%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7efdbc1abb38>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "whichprovince = 'Ontario'\n",
    "pd.pivot_table(new_df.loc[new_df['Geography']== whichprovince],index=['NAICS'], \n",
    "               aggfunc = sum, values = ['2017']).sort_values(by='2017', ascending=False).head(n=10).plot(\n",
    "                kind='pie', subplots=True, title= whichprovince, legend=False, figsize=(6,6), autopct='%1.1f%%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7efdbc089e48>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "whichprovince = 'British Columbia'\n",
    "pd.pivot_table(new_df.loc[new_df['Geography']== whichprovince],index=['NAICS'], \n",
    "               aggfunc = sum, values = ['2017']).sort_values(by='2017', ascending=False).head(n=10).plot(\n",
    "                kind='pie', subplots=True, \n",
    "                title= whichprovince, legend=False, autopct='%1.1f%%', radius=1, figsize =(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "hidden": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"100%\"\n",
       "            height=\"500\"\n",
       "            src=\"pivottablejs.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7efdbc3026d8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## This code creates a pivot table. Drag the column headings and play with the drop down menus to explore.\n",
    "from pivottablejs import pivot_ui\n",
    "pivot_ui(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}