data_cleaning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import os\n",
    "from functools import reduce"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gather data from csv files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get list of files in directory\n",
    "csv_files = [csv for csv in os.listdir() if csv.startswith('cart')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create list of df\n",
    "df_list= [pd.read_csv(x) for x in csv_files]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[                                                  Item  Price        Date\n",
       " 821                                    1  Gold \"5\"1 ea   6.00  2020-04-17\n",
       " 828                  10-Inch Round Roaster 4-7 lbs1 ea   9.98  2020-04-17\n",
       " 794                               18ct Forks, Gold1 ea   1.25  2020-04-17\n",
       " 808                  3MCommand Hooks Value Pack, S1 ea  10.98  2020-04-17\n",
       " 810                         3MPainter's Tape 36 mm1 ea   7.98  2020-04-17\n",
       " ..                                                 ...    ...         ...\n",
       " 423  ZeroodlePremium Shirataki Penne With Oat Fiber...   4.48  2020-04-17\n",
       " 216                         Ziggy'sChicken Strips200 g   5.00  2020-04-17\n",
       " 221                   Ziggy'sPotato & Egg Salad1.25 kg   4.98  2020-04-17\n",
       " 972                                           Zucchini   1.22  2020-04-17\n",
       " 695   uTemp 10 Second Flex Tip Digital Thermometer1 ea  14.98  2020-04-17\n",
       " \n",
       " [760 rows x 3 columns],\n",
       "                                                     Item  Price        Date\n",
       " 24249          \"It's a boy\" Cake Topper Blue Glitter1 ea   2.50  2020-04-26\n",
       " 24893         \"It's a girl\" Cake Topper Pink Glitter1 ea   2.50  2020-04-26\n",
       " 15387                    #10 6MM Bamboo Needles 35MM1 ea   4.98  2020-04-26\n",
       " 16593                  #10 6MM Knitting Needles 35MM1 ea   5.48  2020-04-26\n",
       " 15741                    #11 8MM Bamboo Needles 35MM1 ea   5.48  2020-04-26\n",
       " ...                                                  ...    ...         ...\n",
       " 20391  uSwim Putty Buddies Floating Silicone Ear Plug...   6.48  2020-04-26\n",
       " 20361                  uSwim Soft Silicone Ear Plugs4 ea   4.48  2020-04-26\n",
       " 21670                      uSwim Soft Wax Ear Plugs12 ea   6.98  2020-04-26\n",
       " 21511                 uTravel Anti-Nausea Wristbands1 ea  14.98  2020-04-26\n",
       " 21685                       uTravel Travel Ear Plugs2 ea   7.48  2020-04-26\n",
       " \n",
       " [16556 rows x 3 columns],\n",
       "                                                    Item  Price        Date\n",
       " 24316        \"It's a girl\" Cake Topper Pink Glitter1 ea   2.50  2020-04-22\n",
       " 16739                 #10 6MM Knitting Needles 35MM1 ea   5.48  2020-04-22\n",
       " 16465                   #11 8MM Bamboo Needles 35MM1 ea   5.48  2020-04-22\n",
       " 16009            #2/4/5/8 Crochet Hooks, Value Pack1 ea   8.98  2020-04-22\n",
       " 16868            #3/4/6/7 Crochet Hooks, Value Pack1 ea   8.98  2020-04-22\n",
       " ...                                                 ...    ...         ...\n",
       " 20502                 uSwim Soft Silicone Ear Plugs4 ea   4.48  2020-04-22\n",
       " 20670                     uSwim Soft Wax Ear Plugs12 ea   6.98  2020-04-22\n",
       " 20998  uTemp 10 Second Flex Tip Digital Thermometer1 ea  14.98  2020-04-22\n",
       " 21292          uTherm Children's Animal Thermometer1 ea  14.98  2020-04-22\n",
       " 21514                uTravel Anti-Nausea Wristbands1 ea  14.98  2020-04-22\n",
       " \n",
       " [16279 rows x 3 columns],\n",
       "                                               Item  Price        Date\n",
       " 1118            18ct Assorted Cutlery , Purple1 ea   1.25  2020-03-17\n",
       " 165                 6\" Chocolate Truffle Cake600 g  12.00  2020-03-17\n",
       " 1061                 A VogelEchinacea Lozenges30 g   3.98  2020-03-17\n",
       " 174   ACEArtisan Crisps, Olive Oil & Sea Salt180 g   4.98  2020-03-17\n",
       " 173     ACEBake Your Own White Demi-Baguettes400 g   4.28  2020-03-17\n",
       " ...                                            ...    ...         ...\n",
       " 218                       Ziggy'sGarlic Roast Beef   1.78  2020-03-17\n",
       " 207                    Ziggy'sMozzarella Ball340 g   5.00  2020-03-17\n",
       " 21            Ziggy'sOil & Vinegar Coleslaw1.25 kg   4.48  2020-03-17\n",
       " 1759                                      Zucchini   1.53  2020-03-17\n",
       " 1609        two-biteCinnamon Rolls, Large Tub510 g   6.98  2020-03-17\n",
       " \n",
       " [1147 rows x 3 columns]]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Iterate over df_list and change Price label according to Date\n",
    "for df in df_list:\n",
    "    df.sort_values('Item', inplace=True)\n",
    "    df.drop_duplicates('Item', inplace=True)\n",
    "    df['Price'] = [x.strip('$c') for x in df['Price']]\n",
    "    \n",
    "    for x in df['Price']:\n",
    "        df['Price'] = df['Price'].astype(float)\n",
    "\n",
    "    #date = pd.to_datetime(df['Date']).max().strftime('%m-%d-%Y') # grab max date\n",
    "    #df.rename(columns={'Price': date}, inplace=True) # change column label to date\n",
    "    #df.drop(columns='Date', inplace=True) # Remove columns no longer needed\n",
    "\n",
    "df_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat(df_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Item</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24249</th>\n",
       "      <td>\"It's a boy\" Cake Topper Blue Glitter1 ea</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2020-04-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24893</th>\n",
       "      <td>\"It's a girl\" Cake Topper Pink Glitter1 ea</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2020-04-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24316</th>\n",
       "      <td>\"It's a girl\" Cake Topper Pink Glitter1 ea</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2020-04-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15387</th>\n",
       "      <td>#10 6MM Bamboo Needles 35MM1 ea</td>\n",
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       "      <td>2020-04-26</td>\n",
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       "      <th>16739</th>\n",
       "      <td>#10 6MM Knitting Needles 35MM1 ea</td>\n",
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       "      <td>2020-04-22</td>\n",
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       "      <th>20998</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>21292</th>\n",
       "      <td>uTherm Children's Animal Thermometer1 ea</td>\n",
       "      <td>14.98</td>\n",
       "      <td>2020-04-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21511</th>\n",
       "      <td>uTravel Anti-Nausea Wristbands1 ea</td>\n",
       "      <td>14.98</td>\n",
       "      <td>2020-04-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21514</th>\n",
       "      <td>uTravel Anti-Nausea Wristbands1 ea</td>\n",
       "      <td>14.98</td>\n",
       "      <td>2020-04-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21685</th>\n",
       "      <td>uTravel Travel Ear Plugs2 ea</td>\n",
       "      <td>7.48</td>\n",
       "      <td>2020-04-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>34742 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   Item  Price        Date\n",
       "24249         \"It's a boy\" Cake Topper Blue Glitter1 ea   2.50  2020-04-26\n",
       "24893        \"It's a girl\" Cake Topper Pink Glitter1 ea   2.50  2020-04-26\n",
       "24316        \"It's a girl\" Cake Topper Pink Glitter1 ea   2.50  2020-04-22\n",
       "15387                   #10 6MM Bamboo Needles 35MM1 ea   4.98  2020-04-26\n",
       "16739                 #10 6MM Knitting Needles 35MM1 ea   5.48  2020-04-22\n",
       "...                                                 ...    ...         ...\n",
       "20998  uTemp 10 Second Flex Tip Digital Thermometer1 ea  14.98  2020-04-22\n",
       "21292          uTherm Children's Animal Thermometer1 ea  14.98  2020-04-22\n",
       "21511                uTravel Anti-Nausea Wristbands1 ea  14.98  2020-04-26\n",
       "21514                uTravel Anti-Nausea Wristbands1 ea  14.98  2020-04-22\n",
       "21685                      uTravel Travel Ear Plugs2 ea   7.48  2020-04-26\n",
       "\n",
       "[34742 rows x 3 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('Item')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <td>\"It's a girl\" Cake Topper Pink Glitter1 ea</td>\n",
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       "      <th>15387</th>\n",
       "      <td>#10 6MM Bamboo Needles 35MM1 ea</td>\n",
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       "      <td>uTherm Children's Animal Thermometer1 ea</td>\n",
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       "      <td>2020-04-22</td>\n",
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       "      <td>uTravel Anti-Nausea Wristbands1 ea</td>\n",
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      "text/plain": [
       "                                                   Item  Price        Date\n",
       "24249         \"It's a boy\" Cake Topper Blue Glitter1 ea   2.50  2020-04-26\n",
       "24316        \"It's a girl\" Cake Topper Pink Glitter1 ea   2.50  2020-04-22\n",
       "15387                   #10 6MM Bamboo Needles 35MM1 ea   4.98  2020-04-26\n",
       "16739                 #10 6MM Knitting Needles 35MM1 ea   5.48  2020-04-22\n",
       "16465                   #11 8MM Bamboo Needles 35MM1 ea   5.48  2020-04-22\n",
       "...                                                 ...    ...         ...\n",
       "20670                     uSwim Soft Wax Ear Plugs12 ea   6.98  2020-04-22\n",
       "20998  uTemp 10 Second Flex Tip Digital Thermometer1 ea  14.98  2020-04-22\n",
       "21292          uTherm Children's Animal Thermometer1 ea  14.98  2020-04-22\n",
       "21514                uTravel Anti-Nausea Wristbands1 ea  14.98  2020-04-22\n",
       "21685                      uTravel Travel Ear Plugs2 ea   7.48  2020-04-26\n",
       "\n",
       "[22219 rows x 3 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop_duplicates(['Item'], keep='last').sort_values('Item')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_main = df.pivot(index='Item',\n",
    "        columns='Date',\n",
    "         values='Price'\n",
    "        ).fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Date</th>\n",
       "      <th>2020-03-17</th>\n",
       "      <th>2020-04-17</th>\n",
       "      <th>2020-04-22</th>\n",
       "      <th>2020-04-26</th>\n",
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       "      <th>\"It's a boy\" Cake Topper Blue Glitter1 ea</th>\n",
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       "      <th>\"It's a girl\" Cake Topper Pink Glitter1 ea</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.50</td>\n",
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       "      <th>#10 6MM Bamboo Needles 35MM1 ea</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>#10 6MM Knitting Needles 35MM1 ea</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>uSwim Soft Wax Ear Plugs12 ea</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.98</td>\n",
       "      <td>6.98</td>\n",
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       "    <tr>\n",
       "      <th>uTemp 10 Second Flex Tip Digital Thermometer1 ea</th>\n",
       "      <td>0.0</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.98</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>uTherm Children's Animal Thermometer1 ea</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.98</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uTravel Anti-Nausea Wristbands1 ea</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uTravel Travel Ear Plugs2 ea</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22219 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Date                                              2020-03-17  2020-04-17  \\\n",
       "Item                                                                       \n",
       "\"It's a boy\" Cake Topper Blue Glitter1 ea                0.0        0.00   \n",
       "\"It's a girl\" Cake Topper Pink Glitter1 ea               0.0        0.00   \n",
       "#10 6MM Bamboo Needles 35MM1 ea                          0.0        0.00   \n",
       "#10 6MM Knitting Needles 35MM1 ea                        0.0        0.00   \n",
       "#11 8MM Bamboo Needles 35MM1 ea                          0.0        0.00   \n",
       "...                                                      ...         ...   \n",
       "uSwim Soft Wax Ear Plugs12 ea                            0.0        0.00   \n",
       "uTemp 10 Second Flex Tip Digital Thermometer1 ea         0.0       14.98   \n",
       "uTherm Children's Animal Thermometer1 ea                 0.0        0.00   \n",
       "uTravel Anti-Nausea Wristbands1 ea                       0.0        0.00   \n",
       "uTravel Travel Ear Plugs2 ea                             0.0        0.00   \n",
       "\n",
       "Date                                              2020-04-22  2020-04-26  \n",
       "Item                                                                      \n",
       "\"It's a boy\" Cake Topper Blue Glitter1 ea               0.00        2.50  \n",
       "\"It's a girl\" Cake Topper Pink Glitter1 ea              2.50        2.50  \n",
       "#10 6MM Bamboo Needles 35MM1 ea                         0.00        4.98  \n",
       "#10 6MM Knitting Needles 35MM1 ea                       5.48        5.48  \n",
       "#11 8MM Bamboo Needles 35MM1 ea                         5.48        5.48  \n",
       "...                                                      ...         ...  \n",
       "uSwim Soft Wax Ear Plugs12 ea                           6.98        6.98  \n",
       "uTemp 10 Second Flex Tip Digital Thermometer1 ea       14.98        0.00  \n",
       "uTherm Children's Animal Thermometer1 ea               14.98        0.00  \n",
       "uTravel Anti-Nausea Wristbands1 ea                     14.98       14.98  \n",
       "uTravel Travel Ear Plugs2 ea                            0.00        7.48  \n",
       "\n",
       "[22219 rows x 4 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_main"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2030e81ac0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_main.sample(20).plot(kind='bar', rot=90, legend=False)"
   ]
  },
  {
   "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}