code/project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Effect of Social Media Presence on Stock Price of the Coca Cola (KO) Stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: yahoo-finance in /srv/app/venv/lib/python3.6/site-packages\n",
      "Requirement already satisfied: simplejson in /srv/app/venv/lib/python3.6/site-packages (from yahoo-finance)\n",
      "Requirement already satisfied: pytz in /srv/app/venv/lib/python3.6/site-packages (from yahoo-finance)\n",
      "Requirement already satisfied: urllib3 in /srv/app/venv/lib/python3.6/site-packages\n",
      "Requirement already satisfied: bs4 in /srv/app/venv/lib/python3.6/site-packages\n",
      "Requirement already satisfied: beautifulsoup4 in /srv/app/venv/lib/python3.6/site-packages (from bs4)\n",
      "Requirement already satisfied: pandas in /srv/app/venv/lib/python3.6/site-packages\n",
      "Requirement already satisfied: python-dateutil>=2 in /srv/app/venv/lib/python3.6/site-packages (from pandas)\n",
      "Requirement already satisfied: pytz>=2011k in /srv/app/venv/lib/python3.6/site-packages (from pandas)\n",
      "Requirement already satisfied: numpy>=1.7.0 in /srv/app/venv/lib/python3.6/site-packages (from pandas)\n",
      "Requirement already satisfied: six>=1.5 in /srv/app/venv/lib/python3.6/site-packages (from python-dateutil>=2->pandas)\n",
      "Requirement already satisfied: seaborn in /srv/app/venv/lib/python3.6/site-packages\n",
      "Requirement already satisfied: pandas-datareader in /srv/app/venv/lib/python3.6/site-packages\n",
      "Requirement already satisfied: requests-file in /srv/app/venv/lib/python3.6/site-packages (from pandas-datareader)\n",
      "Requirement already satisfied: requests-ftp in /srv/app/venv/lib/python3.6/site-packages (from pandas-datareader)\n",
      "Requirement already satisfied: requests>=2.3.0 in /srv/app/venv/lib/python3.6/site-packages (from pandas-datareader)\n",
      "Requirement already satisfied: pandas>=0.17.0 in /srv/app/venv/lib/python3.6/site-packages (from pandas-datareader)\n",
      "Requirement already satisfied: six in /srv/app/venv/lib/python3.6/site-packages (from requests-file->pandas-datareader)\n",
      "Requirement already satisfied: pytz>=2011k in /srv/app/venv/lib/python3.6/site-packages (from pandas>=0.17.0->pandas-datareader)\n",
      "Requirement already satisfied: numpy>=1.7.0 in /srv/app/venv/lib/python3.6/site-packages (from pandas>=0.17.0->pandas-datareader)\n",
      "Requirement already satisfied: python-dateutil>=2 in /srv/app/venv/lib/python3.6/site-packages (from pandas>=0.17.0->pandas-datareader)\n",
      "Requirement already satisfied: plotly in /srv/app/venv/lib/python3.6/site-packages\n",
      "Requirement already satisfied: six in /srv/app/venv/lib/python3.6/site-packages (from plotly)\n",
      "Requirement already satisfied: decorator>=4.0.6 in /srv/app/venv/lib/python3.6/site-packages (from plotly)\n",
      "Requirement already satisfied: requests in /srv/app/venv/lib/python3.6/site-packages (from plotly)\n",
      "Requirement already satisfied: nbformat>=4.2 in /srv/app/venv/lib/python3.6/site-packages (from plotly)\n",
      "Requirement already satisfied: pytz in /srv/app/venv/lib/python3.6/site-packages (from plotly)\n",
      "Requirement already satisfied: jupyter-core in /srv/app/venv/lib/python3.6/site-packages (from nbformat>=4.2->plotly)\n",
      "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /srv/app/venv/lib/python3.6/site-packages (from nbformat>=4.2->plotly)\n",
      "Requirement already satisfied: ipython-genutils in /srv/app/venv/lib/python3.6/site-packages (from nbformat>=4.2->plotly)\n",
      "Requirement already satisfied: traitlets>=4.1 in /srv/app/venv/lib/python3.6/site-packages (from nbformat>=4.2->plotly)\n"
     ]
    }
   ],
   "source": [
    "!pip3 install yahoo-finance\n",
    "!pip3 install urllib3\n",
    "!pip3 install bs4\n",
    "!pip3 install pandas\n",
    "!pip3 install seaborn\n",
    "!pip3 install pandas-datareader\n",
    "!pip3 install plotly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from datascience import *\n",
    "import csv\n",
    "import urllib.request\n",
    "import pandas as pd\n",
    "import pandas_datareader.data as fetch\n",
    "import datetime\n",
    "import seaborn as sbn\n",
    "\n",
    "# These lines do some fancy plotting magic\n",
    "import matplotlib\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing Social Media Follower Data\n",
    "The code below is where we imported the social media follower data over time, which was done in Excel and exported as a CSV, and then imported as a Python array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('cocacoladata.csv', 'r') as f:\n",
    "  reader = csv.reader(f)\n",
    "  followers = list(reader)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting Stock Data\n",
    "The code below is a method that we wrote to get stock price for the Coca Cola (KO) stock over time using the Yahoo Finance API. The method in question takes in a symbol, start date, and end date, meaning that it can be used for any stock symbol over any period of time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#followers\n",
    "def adj_price(symbols, start_date, end_date):\n",
    "    stock_adj_price = pd.DataFrame()\n",
    "    for s in symbols:\n",
    "        try:\n",
    "            data = fetch.DataReader(s, 'yahoo', start_date, end_date)\n",
    "            stock_adj_price[s] = data['Adj Close']\n",
    "        except:\n",
    "            print('Failed to fetch stock data from Yahoo Finance.')\n",
    "    return stock_adj_price"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing our method\n",
    "In this piece of the code, we graph the stock price over time (which has points for every day that the stock market was open) from 2008 to 2017."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Vo4OPLWK6e4D/34f76go6xU9v7IgOvnbYrqbs/n8NjC/m0IWzLQcDg+yx599ClXPBLjz0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\n1vciku58lo8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f61b8aad9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start_date = datetime.datetime(2008, 1, 1)\n",
    "end_date = datetime.datetime(2017, 11, 1)\n",
    "symbols = ['KO']\n",
    "adj_price_portfolio = adj_price(symbols, start_date, end_date)\n",
    "\n",
    "adj_price_portfolio.plot()\n",
    "plt.xlabel('Date') # X-Axis label\n",
    "plt.ylabel('Adjusted Price') # Y-Axis label\n",
    "#plt.tight_layout()  # Removes padding\n",
    "plt.show() # Show the plot window"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning\n",
    "Because we don't want stock price data every day, but only once per month, this is the cell where we clean the data so that we only get a price for once per month, and place it into a Python array instead of a list. The cell below is where we create the table for social media followers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "prices = [adj_price_portfolio['KO'][i] for i in range(len(adj_price_portfolio['KO']))]\n",
    "final_stock = make_array()\n",
    "prices = prices[::21]\n",
    "for price in prices:\n",
    "    final_stock = np.append(final_stock, price)\n",
    "final_stock = np.append(final_stock, 45.5)\n",
    "stock = final_stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Number</th> <th>Twitter Followers</th> <th>Instagram Followers</th> <th>YouTube Followers</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>1     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>2     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>3     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>4     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>5     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>6     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>7     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>8     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>9     </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>10    </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>11    </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>12    </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>13    </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>14    </td> <td>0                </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>15    </td> <td>178              </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>16    </td> <td>356              </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>17    </td> <td>534              </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>18    </td> <td>3690.5           </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>19    </td> <td>5144             </td> <td>0                  </td> <td>0                </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>20    </td> <td>8605             </td> <td>0                  </td> <td>142              </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>21    </td> <td>10635            </td> <td>0                  </td> <td>218              </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>22    </td> <td>11592.5          </td> <td>0                  </td> <td>959.25           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>23    </td> <td>16942.5          </td> <td>0                  </td> <td>1700.5           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>24    </td> <td>22292.5          </td> <td>0                  </td> <td>2441.75          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>25    </td> <td>27642.5          </td> <td>0                  </td> <td>3183             </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>26    </td> <td>32992.5          </td> <td>0                  </td> <td>4385             </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>27    </td> <td>38342.5          </td> <td>0                  </td> <td>5073.5           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>28    </td> <td>43692.5          </td> <td>0                  </td> <td>5762             </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>29    </td> <td>49042.5          </td> <td>0                  </td> <td>10295            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>30    </td> <td>54392.5          </td> <td>0                  </td> <td>10295            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>31    </td> <td>87133            </td> <td>0                  </td> <td>10295            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>32    </td> <td>108239           </td> <td>0                  </td> <td>10295            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>33    </td> <td>138734           </td> <td>0                  </td> <td>12545.9          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>34    </td> <td>153922           </td> <td>0                  </td> <td>14796.7          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>35    </td> <td>170200           </td> <td>0                  </td> <td>17047.6          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>36    </td> <td>181720           </td> <td>0                  </td> <td>19298.4          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>37    </td> <td>201540           </td> <td>0                  </td> <td>21549.3          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>38    </td> <td>224972           </td> <td>0                  </td> <td>23800.1          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>39    </td> <td>248273           </td> <td>0                  </td> <td>26051            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>40    </td> <td>271574           </td> <td>0                  </td> <td>28007            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>41    </td> <td>294875           </td> <td>0                  </td> <td>30688.8          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>42    </td> <td>318177           </td> <td>0                  </td> <td>33370.5          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>43    </td> <td>341478           </td> <td>0                  </td> <td>36052.2          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>44    </td> <td>364779           </td> <td>0                  </td> <td>38734            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>45    </td> <td>388081           </td> <td>0                  </td> <td>41270            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>46    </td> <td>411382           </td> <td>0                  </td> <td>45666            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>47    </td> <td>434684           </td> <td>0                  </td> <td>50062            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>48    </td> <td>454708           </td> <td>0                  </td> <td>54458            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>49    </td> <td>475546           </td> <td>0                  </td> <td>56808.2          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>50    </td> <td>495014           </td> <td>0                  </td> <td>59158.5          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>51    </td> <td>514481           </td> <td>0                  </td> <td>61508.8          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>52    </td> <td>533948           </td> <td>0                  </td> <td>63859            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>53    </td> <td>553415           </td> <td>0                  </td> <td>67792.8          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>54    </td> <td>572882           </td> <td>0                  </td> <td>71726.6          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>55    </td> <td>588892           </td> <td>0                  </td> <td>75660.4          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>56    </td> <td>604901           </td> <td>0                  </td> <td>79594.2          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>57    </td> <td>620910           </td> <td>0                  </td> <td>83528            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>58    </td> <td>620923           </td> <td>0                  </td> <td>88183            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>59    </td> <td>646667           </td> <td>7871.07            </td> <td>93419.5          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>60    </td> <td>660009           </td> <td>15742.1            </td> <td>98656            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>61    </td> <td>673351           </td> <td>23613.2            </td> <td>103501           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>62    </td> <td>685950           </td> <td>31484.3            </td> <td>109892           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>63    </td> <td>698548           </td> <td>39355.4            </td> <td>116282           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>64    </td> <td>769308           </td> <td>47226.4            </td> <td>122673           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>65    </td> <td>1.00738e+06      </td> <td>55097.5            </td> <td>140243           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>66    </td> <td>1.24546e+06      </td> <td>62968.6            </td> <td>146480           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>67    </td> <td>1.48354e+06      </td> <td>70839.6            </td> <td>152716           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>68    </td> <td>1.79569e+06      </td> <td>78710.7            </td> <td>162816           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>69    </td> <td>1.98717e+06      </td> <td>86581.8            </td> <td>172917           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>70    </td> <td>2.13502e+06      </td> <td>94452.9            </td> <td>183017           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>71    </td> <td>2.20316e+06      </td> <td>102324             </td> <td>193118           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>72    </td> <td>2.24986e+06      </td> <td>110195             </td> <td>203218           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>73    </td> <td>2.315e+06        </td> <td>114058             </td> <td>221182           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>74    </td> <td>2.33921e+06      </td> <td>129512             </td> <td>221182           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>75    </td> <td>2.37e+06         </td> <td>144965             </td> <td>253812           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>76    </td> <td>2.42e+06         </td> <td>160418             </td> <td>286442           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>77    </td> <td>2.51224e+06      </td> <td>175872             </td> <td>319072           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>78    </td> <td>2.59e+06         </td> <td>211250             </td> <td>351702           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>79    </td> <td>2.635e+06        </td> <td>246629             </td> <td>384332           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>80    </td> <td>2.67e+06         </td> <td>282008             </td> <td>416962           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>81    </td> <td>2.71e+06         </td> <td>317386             </td> <td>449592           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>82    </td> <td>2.75e+06         </td> <td>352764             </td> <td>482222           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>83    </td> <td>2.8e+06          </td> <td>388143             </td> <td>514852           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>84    </td> <td>2.815e+06        </td> <td>423522             </td> <td>547482           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>85    </td> <td>2.86e+06         </td> <td>458900             </td> <td>580112           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>86    </td> <td>2.89e+06         </td> <td>485800             </td> <td>612742           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>87    </td> <td>2.92333e+06      </td> <td>549500             </td> <td>645372           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>88    </td> <td>2.95667e+06      </td> <td>613200             </td> <td>678002           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>89    </td> <td>2.99e+06         </td> <td>613600             </td> <td>710632           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>90    </td> <td>3.03e+06         </td> <td>684067             </td> <td>743262           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>91    </td> <td>3.07e+06         </td> <td>754533             </td> <td>775891           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>92    </td> <td>3.08e+06         </td> <td>825000             </td> <td>808521           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>93    </td> <td>3.115e+06        </td> <td>861000             </td> <td>841151           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>94    </td> <td>3.12e+06         </td> <td>897000             </td> <td>873781           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>95    </td> <td>3.14e+06         </td> <td>957200             </td> <td>906411           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>96    </td> <td>3.17e+06         </td> <td>1.0174e+06         </td> <td>939041           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>97    </td> <td>3.19e+06         </td> <td>1.0776e+06         </td> <td>971671           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>98    </td> <td>3.205e+06        </td> <td>1.1378e+06         </td> <td>1.0043e+06       </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>99    </td> <td>3.215e+06        </td> <td>1.198e+06          </td> <td>1.03693e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>100   </td> <td>3.24e+06         </td> <td>1.2582e+06         </td> <td>1.06956e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>101   </td> <td>3.25e+06         </td> <td>1.3184e+06         </td> <td>1.10219e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>102   </td> <td>3.26e+06         </td> <td>1.3786e+06         </td> <td>1.13482e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>103   </td> <td>3.27e+06         </td> <td>1.4388e+06         </td> <td>1.16745e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>104   </td> <td>3.28e+06         </td> <td>1.499e+06          </td> <td>1.20008e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>105   </td> <td>3.285e+06        </td> <td>1.5592e+06         </td> <td>1.23271e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>106   </td> <td>3.29e+06         </td> <td>1.6194e+06         </td> <td>1.26534e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>107   </td> <td>3.31e+06         </td> <td>1.6796e+06         </td> <td>1.30618e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>108   </td> <td>3.31e+06         </td> <td>1.7398e+06         </td> <td>1.34702e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>109   </td> <td>3.33e+06         </td> <td>1.8e+06            </td> <td>1.38786e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>110   </td> <td>3.335e+06        </td> <td>1.9e+06            </td> <td>1.42871e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>111   </td> <td>3.35e+06         </td> <td>1.9e+06            </td> <td>1.43596e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>112   </td> <td>3.355e+06        </td> <td>2e+06              </td> <td>1.54821e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>113   </td> <td>3.36e+06         </td> <td>2.1e+06            </td> <td>1.55348e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>114   </td> <td>3.37e+06         </td> <td>2.1e+06            </td> <td>1.55874e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>115   </td> <td>3.38e+06         </td> <td>2.125e+06          </td> <td>1.57247e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>116   </td> <td>3.39e+06         </td> <td>2.15e+06           </td> <td>1.5862e+06       </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>117   </td> <td>3.39e+06         </td> <td>2.175e+06          </td> <td>1.64813e+06      </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "        <tr>\n",
       "            <td>118   </td> <td>3.4e+06          </td> <td>2.2e+06            </td> <td>1.7e+06          </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "twitter = make_array()\n",
    "instagram = make_array()\n",
    "youtube = make_array()\n",
    "\n",
    "for month in followers:\n",
    "    twitter = np.append(twitter, float(month[1]))\n",
    "    instagram = np.append(instagram, float(month[3]))\n",
    "    youtube = np.append(youtube, float(month[2]))\n",
    "    \n",
    "follower_data = Table().with_columns(\n",
    "    \"Number\", np.arange(119),\n",
    "    #\"Date\", dates_array,\n",
    "    \"Twitter Followers\", twitter,\n",
    "    \"Instagram Followers\", instagram,\n",
    "    \"YouTube Followers\", youtube\n",
    ")\n",
    "\n",
    "follower_data.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Analysis\n",
    "In this cell, we did some data analysis where we calculated the growth rate for each set of months for social media followers for Twitter, Instagram, and YouTube, as well as stock data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_growth = [((twitter[i+1] - twitter[i])/twitter[i]) for i in range(0, 118) if twitter[i] != 0]\n",
    "twitter_growth = [0 for i in range(15)] + twitter_growth\n",
    "#print(len(twitter_growth))\n",
    "\n",
    "instagram_growth = [((instagram[i+1] - instagram[i])/instagram[i]) for i in range(0, 118) if instagram[i] != 0]\n",
    "instagram_growth = [0 for i in range(59)] + instagram_growth\n",
    "#print(len(instagram_growth))\n",
    "\n",
    "youtube_growth = [((youtube[i+1] - youtube[i])/youtube[i]) for i in range(0, 118) if youtube[i] != 0]\n",
    "youtube_growth = [0 for i in range(20)] + youtube_growth\n",
    "#print(len(youtube_growth))\n",
    "\n",
    "stock_growth = [((stock[i+1] - stock[i])/stock[i]) for i in range(0, 118) if stock[i] != 0]\n",
    "#print(len(stock_growth))\n",
    "\n",
    "twitter_growth_a = make_array()\n",
    "for dat1 in twitter_growth:\n",
    "    twitter_growth_a = np.append(twitter_growth_a, dat1)\n",
    "    \n",
    "instagram_growth_a = make_array()\n",
    "for dat2 in instagram_growth:\n",
    "    instagram_growth_a = np.append(instagram_growth_a, dat2)\n",
    "    \n",
    "youtube_growth_a = make_array()\n",
    "for dat3 in youtube_growth:\n",
    "    youtube_growth_a = np.append(youtube_growth_a, dat3)\n",
    "    \n",
    "stock_growth_a = make_array()\n",
    "for dat4 in stock_growth:\n",
    "    stock_growth_a = np.append(stock_growth_a, dat4 * 5)\n",
    "    \n",
    "dates_list = [[str(day) + \"/\" + str(year) for day in range(1, 13)] for year in range(2008, 2018)]\n",
    "\n",
    "dates_list_2 = []\n",
    "for year in dates_list:\n",
    "    dates_list_2 += year\n",
    "dates_list_2.pop()\n",
    "\n",
    "dates_array = make_array()\n",
    "for year in dates_list_2:\n",
    "    dates_array = np.append(dates_array, year)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Visualization\n",
    "In this stage, we have all the data how we want it, and need to start visualizing it. First, we put all of the data in a Python table so it can be graphed. We also adjusted the offsets so that the lines of the graph would be overlaid and trends could be properly compared."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"stock_data.plot('Months Since January 2008')\\nplt.xlabel('Months since January 2008')\\nplt.ylabel('Stock Price')\""
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aiSCzJtPHxwcrKyulwKVHjx7s37+fli1b4uLiQtOmTalfv36h96V6tzYpO4rPxtsBl4KJ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\nAKCXrQ/GBExBVPx5LV9FALA1d2zSOq2NvcQZXDZXY+CKhRawMrNtV53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peU6knB+BQGgU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3/LQ1V0HiXlW/53sT7r0mOuOyKhaP1xcPBhUqgHPQKdxX2dBUGoM0SyKFSLPEMOm0tsl9Or1T02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\nn4HRVIRWU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ATw3nvvMWzYsEoJsq7qFNqdTqHdbcoVRaGBd5BlTqOiKMQfj8O3xG0Cm9dv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\nFmIYWmDo0KEYjUZWr15NQUEBa9asYeTIk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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f61c05d4160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "follower_data = Table().with_columns(\n",
    "    \"Months Since January 2008\", np.arange(119),\n",
    "    #\"Date\", dates_array,\n",
    "    \"Twitter Followers\", twitter / 100000,\n",
    "    \"Instagram Followers\", instagram / 100000,\n",
    "    \"YouTube Followers\", youtube / 100000,\n",
    "    \"KO Stock Price ($)\", stock - 15,\n",
    ")\n",
    "follower_data.plot('Months Since January 2008')\n",
    "plt.xlabel('Months since January 2008')\n",
    "plt.ylabel('Followers (millions), Stock Price')\n",
    "plt.title('Stock Price vs. Follower Count over Time')\n",
    "\n",
    "stock_data = Table().with_columns(\n",
    "    \"Months Since January 2008\", np.arange(119),\n",
    "    \"KO Stock Price ($)\", stock\n",
    ")\n",
    "\n",
    "\"\"\"stock_data.plot('Months Since January 2008')\n",
    "plt.xlabel('Months since January 2008')\n",
    "plt.ylabel('Stock Price')\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below is a different visualization in which we can see the growth rate over the months that we gathered data for. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f61b8e64320>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QK/E1MjIiKSkpw/PPnj3L8bs1kXd0Jbm6kmEhhBBFS506dShbtiwhISGEhYVRq1YtunTp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\n1JCQEKytrfHz88PGx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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f61b87189e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "follower_data_growth = Table().with_columns(\n",
    "    \"Months Since January 2008\", np.arange(118),\n",
    "    \"Date\", dates_array[1:],\n",
    "    \"Twitter Follower Growth\", twitter_growth_a,\n",
    "    \"Instagram Follower Growth\", instagram_growth_a,\n",
    "    \"YouTube Follower Growth\", youtube_growth_a,\n",
    "    \"KO Stock Growth\", stock_growth_a\n",
    ")\n",
    "follower_data_growth.drop(1).plot('Months Since January 2008')\n",
    "plt.xlabel('Months since January 2008')\n",
    "plt.ylabel('Percent Growth of Stock/Followers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data(row_count):\n",
    "    temp = follower_data_growth.take(np.arange(row_count, row_count + 20))\n",
    "    return temp.drop(1).plot('Months Since January 2008')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7f99d71b0fbb40e9917135b0225cb476",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>interactive</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in Jupyter Notebook or JupyterLab, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another notebook frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "interactive(children=(IntSlider(value=0, description='row_count', max=20), Output()), _dom_classes=('widget-interact',))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "_ = widgets.interact(get_data, \n",
    "                     row_count=widgets.IntSlider(min=0, max=20, value=0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}