├── .gitignore
├── Airbnb Listings - New York.ipynb
├── Airbnb Occupancy Rates - New York.ipynb
├── Airbnb Reviews - New York.ipynb
├── Best Buy Camera Products.ipynb
├── Coronavirus Visualization.ipynb
├── Grubhub NYC Restaurants.ipynb
├── Home Depot Products.ipynb
├── Instagram Comments Analysis - Cute Dog.ipynb
├── Instagram Election Day 2019.ipynb
├── Instagram Followers Analysis - The Rock.ipynb
├── Instagram Halloween Hashtag Likes.ipynb
├── Instagram Hashtag Analysis - Cats vs. Dogs of Instagram.ipynb
├── Instagram Location Analysis - New York vs. London.ipynb
├── Instagram Most Followed by Location.ipynb
├── Instagram Post Likers - Record Breaking Egg.ipynb
├── Instagram Repost Bot Detection.ipynb
└── Twitter Followers - Trump vs. Obama.ipynb


/.gitignore:
--------------------------------------------------------------------------------
1 | .ipynb_checkpoints/


--------------------------------------------------------------------------------
/Home Depot Products.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 21,
  6 |    "metadata": {},
  7 |    "outputs": [],
  8 |    "source": [
  9 |     "import os\n",
 10 |     "import pandas as pd\n",
 11 |     "import numpy as np\n",
 12 |     "import matplotlib.pyplot as plt\n",
 13 |     "import matplotlib.dates as mdates\n",
 14 |     "\n",
 15 |     "plt.style.use('default')\n",
 16 |     "plt.style.use('dark_background')"
 17 |    ]
 18 |   },
 19 |   {
 20 |    "cell_type": "code",
 21 |    "execution_count": 35,
 22 |    "metadata": {},
 23 |    "outputs": [
 24 |     {
 25 |      "data": {
 26 |       "text/html": [
 27 |        "<div>\n",
 28 |        "<style scoped>\n",
 29 |        "    .dataframe tbody tr th:only-of-type {\n",
 30 |        "        vertical-align: middle;\n",
 31 |        "    }\n",
 32 |        "\n",
 33 |        "    .dataframe tbody tr th {\n",
 34 |        "        vertical-align: top;\n",
 35 |        "    }\n",
 36 |        "\n",
 37 |        "    .dataframe thead th {\n",
 38 |        "        text-align: right;\n",
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 40 |        "</style>\n",
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 42 |        "  <thead>\n",
 43 |        "    <tr style=\"text-align: right;\">\n",
 44 |        "      <th></th>\n",
 45 |        "      <th>input.category_id</th>\n",
 46 |        "      <th>input.start_index</th>\n",
 47 |        "      <th>skus.productId</th>\n",
 48 |        "      <th>skus.itemId</th>\n",
 49 |        "      <th>skus.productUrl</th>\n",
 50 |        "      <th>skus.availabilityType</th>\n",
 51 |        "      <th>skus.info.brandName</th>\n",
 52 |        "      <th>skus.info.productLabel</th>\n",
 53 |        "      <th>skus.info.modelNumber</th>\n",
 54 |        "      <th>skus.info.productType</th>\n",
 55 |        "      <th>...</th>\n",
 56 |        "      <th>templates[0].Content[0].Content[0].Content[0].options.content</th>\n",
 57 |        "      <th>templates[0].Content[0].Content[0].Content[0].options.isDragDisabled</th>\n",
 58 |        "      <th>templates[0].Content[0].Content[0].Content[0].Content[0].isCertonaContent</th>\n",
 59 |        "      <th>templates[0].Content[0].Content[0].Content[0].Content[0].type</th>\n",
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 63 |        "      <th>templates[0].Content[0].Content[0].Content[0].isBanner</th>\n",
 64 |        "      <th>templates[0].Content[0].Content[0].Content[0].isGuidedNavigationSlot</th>\n",
 65 |        "      <th>source</th>\n",
 66 |        "    </tr>\n",
 67 |        "  </thead>\n",
 68 |        "  <tbody>\n",
 69 |        "    <tr>\n",
 70 |        "      <td>0</td>\n",
 71 |        "      <td>5yc1vZ2fkoo1o</td>\n",
 72 |        "      <td>NaN</td>\n",
 73 |        "      <td>311129304</td>\n",
 74 |        "      <td>311129304</td>\n",
 75 |        "      <td>/p/Google-Nest-Hello-Doorbell-with-Nest-Hub-Ch...</td>\n",
 76 |        "      <td>Online</td>\n",
 77 |        "      <td>Google</td>\n",
 78 |        "      <td>Nest Hello Doorbell with Nest Hub Charcoal</td>\n",
 79 |        "      <td>VBRQGNHH2019CL</td>\n",
 80 |        "      <td>MERCHANDISE</td>\n",
 81 |        "      <td>...</td>\n",
 82 |        "      <td>NaN</td>\n",
 83 |        "      <td>NaN</td>\n",
 84 |        "      <td>NaN</td>\n",
 85 |        "      <td>NaN</td>\n",
 86 |        "      <td>NaN</td>\n",
 87 |        "      <td>NaN</td>\n",
 88 |        "      <td>NaN</td>\n",
 89 |        "      <td>NaN</td>\n",
 90 |        "      <td>NaN</td>\n",
 91 |        "      <td>solr-v7</td>\n",
 92 |        "    </tr>\n",
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 97 |        "      <td>303404169</td>\n",
 98 |        "      <td>308645311</td>\n",
 99 |        "      <td>/p/Schlage-Camelot-Aged-Bronze-Connect-Smart-L...</td>\n",
100 |        "      <td>Online</td>\n",
101 |        "      <td>Schlage</td>\n",
102 |        "      <td>Camelot Aged Bronze Connect Smart Lock with Al...</td>\n",
103 |        "      <td>BE469ZP V CAM716 + FE285 V CAM 716 ACC C</td>\n",
104 |        "      <td>MERCHANDISE</td>\n",
105 |        "      <td>...</td>\n",
106 |        "      <td>NaN</td>\n",
107 |        "      <td>NaN</td>\n",
108 |        "      <td>NaN</td>\n",
109 |        "      <td>NaN</td>\n",
110 |        "      <td>NaN</td>\n",
111 |        "      <td>NaN</td>\n",
112 |        "      <td>NaN</td>\n",
113 |        "      <td>NaN</td>\n",
114 |        "      <td>NaN</td>\n",
115 |        "      <td>solr-v7</td>\n",
116 |        "    </tr>\n",
117 |        "    <tr>\n",
118 |        "      <td>2</td>\n",
119 |        "      <td>5yc1vZ2fkoo1o</td>\n",
120 |        "      <td>NaN</td>\n",
121 |        "      <td>206391087</td>\n",
122 |        "      <td>206391087</td>\n",
123 |        "      <td>/p/Google-Nest-Learning-Thermostat-3rd-Gen-in-...</td>\n",
124 |        "      <td>Shared</td>\n",
125 |        "      <td>Google</td>\n",
126 |        "      <td>Nest Learning Thermostat 3rd Gen in Stainless ...</td>\n",
127 |        "      <td>T3007ES</td>\n",
128 |        "      <td>MERCHANDISE</td>\n",
129 |        "      <td>...</td>\n",
130 |        "      <td>NaN</td>\n",
131 |        "      <td>NaN</td>\n",
132 |        "      <td>NaN</td>\n",
133 |        "      <td>NaN</td>\n",
134 |        "      <td>NaN</td>\n",
135 |        "      <td>NaN</td>\n",
136 |        "      <td>NaN</td>\n",
137 |        "      <td>NaN</td>\n",
138 |        "      <td>NaN</td>\n",
139 |        "      <td>solr-v7</td>\n",
140 |        "    </tr>\n",
141 |        "    <tr>\n",
142 |        "      <td>3</td>\n",
143 |        "      <td>5yc1vZ2fkoo1o</td>\n",
144 |        "      <td>NaN</td>\n",
145 |        "      <td>311575394</td>\n",
146 |        "      <td>302714540</td>\n",
147 |        "      <td>/p/Google-Nest-Thermostat-E-T4000ES/302714540</td>\n",
148 |        "      <td>Shared</td>\n",
149 |        "      <td>Google</td>\n",
150 |        "      <td>Nest Thermostat E</td>\n",
151 |        "      <td>T4000ES</td>\n",
152 |        "      <td>MERCHANDISE</td>\n",
153 |        "      <td>...</td>\n",
154 |        "      <td>NaN</td>\n",
155 |        "      <td>NaN</td>\n",
156 |        "      <td>NaN</td>\n",
157 |        "      <td>NaN</td>\n",
158 |        "      <td>NaN</td>\n",
159 |        "      <td>NaN</td>\n",
160 |        "      <td>NaN</td>\n",
161 |        "      <td>NaN</td>\n",
162 |        "      <td>NaN</td>\n",
163 |        "      <td>solr-v7</td>\n",
164 |        "    </tr>\n",
165 |        "    <tr>\n",
166 |        "      <td>4</td>\n",
167 |        "      <td>5yc1vZ2fkoo1o</td>\n",
168 |        "      <td>NaN</td>\n",
169 |        "      <td>300382476</td>\n",
170 |        "      <td>300382476</td>\n",
171 |        "      <td>/p/Google-Nest-Cam-Outdoor-Security-Camera-2-P...</td>\n",
172 |        "      <td>Online</td>\n",
173 |        "      <td>Google</td>\n",
174 |        "      <td>Nest Cam Outdoor Security Camera (2-Pack)</td>\n",
175 |        "      <td>NC2400ES</td>\n",
176 |        "      <td>MERCHANDISE</td>\n",
177 |        "      <td>...</td>\n",
178 |        "      <td>NaN</td>\n",
179 |        "      <td>NaN</td>\n",
180 |        "      <td>NaN</td>\n",
181 |        "      <td>NaN</td>\n",
182 |        "      <td>NaN</td>\n",
183 |        "      <td>NaN</td>\n",
184 |        "      <td>NaN</td>\n",
185 |        "      <td>NaN</td>\n",
186 |        "      <td>NaN</td>\n",
187 |        "      <td>solr-v7</td>\n",
188 |        "    </tr>\n",
189 |        "    <tr>\n",
190 |        "      <td>...</td>\n",
191 |        "      <td>...</td>\n",
192 |        "      <td>...</td>\n",
193 |        "      <td>...</td>\n",
194 |        "      <td>...</td>\n",
195 |        "      <td>...</td>\n",
196 |        "      <td>...</td>\n",
197 |        "      <td>...</td>\n",
198 |        "      <td>...</td>\n",
199 |        "      <td>...</td>\n",
200 |        "      <td>...</td>\n",
201 |        "      <td>...</td>\n",
202 |        "      <td>...</td>\n",
203 |        "      <td>...</td>\n",
204 |        "      <td>...</td>\n",
205 |        "      <td>...</td>\n",
206 |        "      <td>...</td>\n",
207 |        "      <td>...</td>\n",
208 |        "      <td>...</td>\n",
209 |        "      <td>...</td>\n",
210 |        "      <td>...</td>\n",
211 |        "      <td>...</td>\n",
212 |        "    </tr>\n",
213 |        "    <tr>\n",
214 |        "      <td>125</td>\n",
215 |        "      <td>5yc1vZ2fkoo1o</td>\n",
216 |        "      <td>96.0</td>\n",
217 |        "      <td>310903639</td>\n",
218 |        "      <td>310903639</td>\n",
219 |        "      <td>/p/JBL-Link-Portable-in-Black-JBLLINKPORBLKAM/...</td>\n",
220 |        "      <td>Shared</td>\n",
221 |        "      <td>JBL</td>\n",
222 |        "      <td>Link Portable in Black</td>\n",
223 |        "      <td>JBLLINKPORBLKAM</td>\n",
224 |        "      <td>MERCHANDISE</td>\n",
225 |        "      <td>...</td>\n",
226 |        "      <td>NaN</td>\n",
227 |        "      <td>NaN</td>\n",
228 |        "      <td>NaN</td>\n",
229 |        "      <td>NaN</td>\n",
230 |        "      <td>NaN</td>\n",
231 |        "      <td>NaN</td>\n",
232 |        "      <td>NaN</td>\n",
233 |        "      <td>NaN</td>\n",
234 |        "      <td>NaN</td>\n",
235 |        "      <td>solr-v7</td>\n",
236 |        "    </tr>\n",
237 |        "    <tr>\n",
238 |        "      <td>126</td>\n",
239 |        "      <td>5yc1vZ2fkoo1o</td>\n",
240 |        "      <td>96.0</td>\n",
241 |        "      <td>311538984</td>\n",
242 |        "      <td>311538984</td>\n",
243 |        "      <td>/p/SWANN-DVR-5580-8-Channel-4K-UHD-2TB-DVR-Sur...</td>\n",
244 |        "      <td>Online</td>\n",
245 |        "      <td>SWANN</td>\n",
246 |        "      <td>DVR-5580 8-Channel 4K UHD 2TB DVR Surveillance...</td>\n",
247 |        "      <td>SWDVK-855804WL-US</td>\n",
248 |        "      <td>MERCHANDISE</td>\n",
249 |        "      <td>...</td>\n",
250 |        "      <td>NaN</td>\n",
251 |        "      <td>NaN</td>\n",
252 |        "      <td>NaN</td>\n",
253 |        "      <td>NaN</td>\n",
254 |        "      <td>NaN</td>\n",
255 |        "      <td>NaN</td>\n",
256 |        "      <td>NaN</td>\n",
257 |        "      <td>NaN</td>\n",
258 |        "      <td>NaN</td>\n",
259 |        "      <td>solr-v7</td>\n",
260 |        "    </tr>\n",
261 |        "    <tr>\n",
262 |        "      <td>127</td>\n",
263 |        "      <td>5yc1vZ2fkoo1o</td>\n",
264 |        "      <td>96.0</td>\n",
265 |        "      <td>312109005</td>\n",
266 |        "      <td>311336531</td>\n",
267 |        "      <td>/p/Google-Nest-Mini-2nd-Gen-Charcoal-GA00781-U...</td>\n",
268 |        "      <td>Shared</td>\n",
269 |        "      <td>Google</td>\n",
270 |        "      <td>Nest Mini (2nd Gen) Charcoal</td>\n",
271 |        "      <td>GA00781-US</td>\n",
272 |        "      <td>MERCHANDISE</td>\n",
273 |        "      <td>...</td>\n",
274 |        "      <td>NaN</td>\n",
275 |        "      <td>NaN</td>\n",
276 |        "      <td>NaN</td>\n",
277 |        "      <td>NaN</td>\n",
278 |        "      <td>NaN</td>\n",
279 |        "      <td>NaN</td>\n",
280 |        "      <td>NaN</td>\n",
281 |        "      <td>NaN</td>\n",
282 |        "      <td>NaN</td>\n",
283 |        "      <td>solr-v7</td>\n",
284 |        "    </tr>\n",
285 |        "    <tr>\n",
286 |        "      <td>128</td>\n",
287 |        "      <td>5yc1vZ2fkoo1o</td>\n",
288 |        "      <td>96.0</td>\n",
289 |        "      <td>311285998</td>\n",
290 |        "      <td>311285998</td>\n",
291 |        "      <td>/p/Arlo-Pro-2-Wire-Free-HD-Security-Camera-Whi...</td>\n",
292 |        "      <td>Shared</td>\n",
293 |        "      <td>Arlo</td>\n",
294 |        "      <td>Pro 2 - Wire Free HD Security Camera White</td>\n",
295 |        "      <td>VMS4120P-100NAS</td>\n",
296 |        "      <td>MERCHANDISE</td>\n",
297 |        "      <td>...</td>\n",
298 |        "      <td>NaN</td>\n",
299 |        "      <td>NaN</td>\n",
300 |        "      <td>NaN</td>\n",
301 |        "      <td>NaN</td>\n",
302 |        "      <td>NaN</td>\n",
303 |        "      <td>NaN</td>\n",
304 |        "      <td>NaN</td>\n",
305 |        "      <td>NaN</td>\n",
306 |        "      <td>NaN</td>\n",
307 |        "      <td>solr-v7</td>\n",
308 |        "    </tr>\n",
309 |        "    <tr>\n",
310 |        "      <td>129</td>\n",
311 |        "      <td>5yc1vZ2fkoo1o</td>\n",
312 |        "      <td>96.0</td>\n",
313 |        "      <td>311227729</td>\n",
314 |        "      <td>311227729</td>\n",
315 |        "      <td>/p/Ring-720P-Wi-Fi-Video-Wired-and-Wireless-Sm...</td>\n",
316 |        "      <td>Online</td>\n",
317 |        "      <td>Ring</td>\n",
318 |        "      <td>720P Wi-Fi Video Wired and Wireless Smart Door...</td>\n",
319 |        "      <td>8VR2Y9-0ENH</td>\n",
320 |        "      <td>MERCHANDISE</td>\n",
321 |        "      <td>...</td>\n",
322 |        "      <td>NaN</td>\n",
323 |        "      <td>NaN</td>\n",
324 |        "      <td>NaN</td>\n",
325 |        "      <td>NaN</td>\n",
326 |        "      <td>NaN</td>\n",
327 |        "      <td>NaN</td>\n",
328 |        "      <td>NaN</td>\n",
329 |        "      <td>NaN</td>\n",
330 |        "      <td>NaN</td>\n",
331 |        "      <td>solr-v7</td>\n",
332 |        "    </tr>\n",
333 |        "  </tbody>\n",
334 |        "</table>\n",
335 |        "<p>130 rows × 164 columns</p>\n",
336 |        "</div>"
337 |       ],
338 |       "text/plain": [
339 |        "    input.category_id  input.start_index  skus.productId  skus.itemId  \\\n",
340 |        "0       5yc1vZ2fkoo1o                NaN       311129304    311129304   \n",
341 |        "1       5yc1vZ2fkoo1o                NaN       303404169    308645311   \n",
342 |        "2       5yc1vZ2fkoo1o                NaN       206391087    206391087   \n",
343 |        "3       5yc1vZ2fkoo1o                NaN       311575394    302714540   \n",
344 |        "4       5yc1vZ2fkoo1o                NaN       300382476    300382476   \n",
345 |        "..                ...                ...             ...          ...   \n",
346 |        "125     5yc1vZ2fkoo1o               96.0       310903639    310903639   \n",
347 |        "126     5yc1vZ2fkoo1o               96.0       311538984    311538984   \n",
348 |        "127     5yc1vZ2fkoo1o               96.0       312109005    311336531   \n",
349 |        "128     5yc1vZ2fkoo1o               96.0       311285998    311285998   \n",
350 |        "129     5yc1vZ2fkoo1o               96.0       311227729    311227729   \n",
351 |        "\n",
352 |        "                                       skus.productUrl skus.availabilityType  \\\n",
353 |        "0    /p/Google-Nest-Hello-Doorbell-with-Nest-Hub-Ch...                Online   \n",
354 |        "1    /p/Schlage-Camelot-Aged-Bronze-Connect-Smart-L...                Online   \n",
355 |        "2    /p/Google-Nest-Learning-Thermostat-3rd-Gen-in-...                Shared   \n",
356 |        "3        /p/Google-Nest-Thermostat-E-T4000ES/302714540                Shared   \n",
357 |        "4    /p/Google-Nest-Cam-Outdoor-Security-Camera-2-P...                Online   \n",
358 |        "..                                                 ...                   ...   \n",
359 |        "125  /p/JBL-Link-Portable-in-Black-JBLLINKPORBLKAM/...                Shared   \n",
360 |        "126  /p/SWANN-DVR-5580-8-Channel-4K-UHD-2TB-DVR-Sur...                Online   \n",
361 |        "127  /p/Google-Nest-Mini-2nd-Gen-Charcoal-GA00781-U...                Shared   \n",
362 |        "128  /p/Arlo-Pro-2-Wire-Free-HD-Security-Camera-Whi...                Shared   \n",
363 |        "129  /p/Ring-720P-Wi-Fi-Video-Wired-and-Wireless-Sm...                Online   \n",
364 |        "\n",
365 |        "    skus.info.brandName                             skus.info.productLabel  \\\n",
366 |        "0                Google         Nest Hello Doorbell with Nest Hub Charcoal   \n",
367 |        "1               Schlage  Camelot Aged Bronze Connect Smart Lock with Al...   \n",
368 |        "2                Google  Nest Learning Thermostat 3rd Gen in Stainless ...   \n",
369 |        "3                Google                                  Nest Thermostat E   \n",
370 |        "4                Google          Nest Cam Outdoor Security Camera (2-Pack)   \n",
371 |        "..                  ...                                                ...   \n",
372 |        "125                 JBL                             Link Portable in Black   \n",
373 |        "126               SWANN  DVR-5580 8-Channel 4K UHD 2TB DVR Surveillance...   \n",
374 |        "127              Google                       Nest Mini (2nd Gen) Charcoal   \n",
375 |        "128                Arlo         Pro 2 - Wire Free HD Security Camera White   \n",
376 |        "129                Ring  720P Wi-Fi Video Wired and Wireless Smart Door...   \n",
377 |        "\n",
378 |        "                        skus.info.modelNumber skus.info.productType  ...  \\\n",
379 |        "0                              VBRQGNHH2019CL           MERCHANDISE  ...   \n",
380 |        "1    BE469ZP V CAM716 + FE285 V CAM 716 ACC C           MERCHANDISE  ...   \n",
381 |        "2                                     T3007ES           MERCHANDISE  ...   \n",
382 |        "3                                     T4000ES           MERCHANDISE  ...   \n",
383 |        "4                                    NC2400ES           MERCHANDISE  ...   \n",
384 |        "..                                        ...                   ...  ...   \n",
385 |        "125                           JBLLINKPORBLKAM           MERCHANDISE  ...   \n",
386 |        "126                         SWDVK-855804WL-US           MERCHANDISE  ...   \n",
387 |        "127                                GA00781-US           MERCHANDISE  ...   \n",
388 |        "128                           VMS4120P-100NAS           MERCHANDISE  ...   \n",
389 |        "129                               8VR2Y9-0ENH           MERCHANDISE  ...   \n",
390 |        "\n",
391 |        "    templates[0].Content[0].Content[0].Content[0].options.content  \\\n",
392 |        "0                                                  NaN              \n",
393 |        "1                                                  NaN              \n",
394 |        "2                                                  NaN              \n",
395 |        "3                                                  NaN              \n",
396 |        "4                                                  NaN              \n",
397 |        "..                                                 ...              \n",
398 |        "125                                                NaN              \n",
399 |        "126                                                NaN              \n",
400 |        "127                                                NaN              \n",
401 |        "128                                                NaN              \n",
402 |        "129                                                NaN              \n",
403 |        "\n",
404 |        "    templates[0].Content[0].Content[0].Content[0].options.isDragDisabled  \\\n",
405 |        "0                                                  NaN                     \n",
406 |        "1                                                  NaN                     \n",
407 |        "2                                                  NaN                     \n",
408 |        "3                                                  NaN                     \n",
409 |        "4                                                  NaN                     \n",
410 |        "..                                                 ...                     \n",
411 |        "125                                                NaN                     \n",
412 |        "126                                                NaN                     \n",
413 |        "127                                                NaN                     \n",
414 |        "128                                                NaN                     \n",
415 |        "129                                                NaN                     \n",
416 |        "\n",
417 |        "    templates[0].Content[0].Content[0].Content[0].Content[0].isCertonaContent  \\\n",
418 |        "0                                                  NaN                          \n",
419 |        "1                                                  NaN                          \n",
420 |        "2                                                  NaN                          \n",
421 |        "3                                                  NaN                          \n",
422 |        "4                                                  NaN                          \n",
423 |        "..                                                 ...                          \n",
424 |        "125                                                NaN                          \n",
425 |        "126                                                NaN                          \n",
426 |        "127                                                NaN                          \n",
427 |        "128                                                NaN                          \n",
428 |        "129                                                NaN                          \n",
429 |        "\n",
430 |        "    templates[0].Content[0].Content[0].Content[0].Content[0].type  \\\n",
431 |        "0                                                  NaN              \n",
432 |        "1                                                  NaN              \n",
433 |        "2                                                  NaN              \n",
434 |        "3                                                  NaN              \n",
435 |        "4                                                  NaN              \n",
436 |        "..                                                 ...              \n",
437 |        "125                                                NaN              \n",
438 |        "126                                                NaN              \n",
439 |        "127                                                NaN              \n",
440 |        "128                                                NaN              \n",
441 |        "129                                                NaN              \n",
442 |        "\n",
443 |        "    templates[0].Content[0].Content[0].Content[0].Content[0].options.parentID  \\\n",
444 |        "0                                                  NaN                          \n",
445 |        "1                                                  NaN                          \n",
446 |        "2                                                  NaN                          \n",
447 |        "3                                                  NaN                          \n",
448 |        "4                                                  NaN                          \n",
449 |        "..                                                 ...                          \n",
450 |        "125                                                NaN                          \n",
451 |        "126                                                NaN                          \n",
452 |        "127                                                NaN                          \n",
453 |        "128                                                NaN                          \n",
454 |        "129                                                NaN                          \n",
455 |        "\n",
456 |        "     templates[0].Content[0].Content[0].Content[0].Content[0].options.schemaTypes  \\\n",
457 |        "0                                                  NaN                              \n",
458 |        "1                                                  NaN                              \n",
459 |        "2                                                  NaN                              \n",
460 |        "3                                                  NaN                              \n",
461 |        "4                                                  NaN                              \n",
462 |        "..                                                 ...                              \n",
463 |        "125                                                NaN                              \n",
464 |        "126                                                NaN                              \n",
465 |        "127                                                NaN                              \n",
466 |        "128                                                NaN                              \n",
467 |        "129                                                NaN                              \n",
468 |        "\n",
469 |        "    templates[0].Content[0].Content[0].Content[0].Content[0].options.colNumber  \\\n",
470 |        "0                                                  NaN                           \n",
471 |        "1                                                  NaN                           \n",
472 |        "2                                                  NaN                           \n",
473 |        "3                                                  NaN                           \n",
474 |        "4                                                  NaN                           \n",
475 |        "..                                                 ...                           \n",
476 |        "125                                                NaN                           \n",
477 |        "126                                                NaN                           \n",
478 |        "127                                                NaN                           \n",
479 |        "128                                                NaN                           \n",
480 |        "129                                                NaN                           \n",
481 |        "\n",
482 |        "    templates[0].Content[0].Content[0].Content[0].isBanner  \\\n",
483 |        "0                                                  NaN       \n",
484 |        "1                                                  NaN       \n",
485 |        "2                                                  NaN       \n",
486 |        "3                                                  NaN       \n",
487 |        "4                                                  NaN       \n",
488 |        "..                                                 ...       \n",
489 |        "125                                                NaN       \n",
490 |        "126                                                NaN       \n",
491 |        "127                                                NaN       \n",
492 |        "128                                                NaN       \n",
493 |        "129                                                NaN       \n",
494 |        "\n",
495 |        "    templates[0].Content[0].Content[0].Content[0].isGuidedNavigationSlot  \\\n",
496 |        "0                                                  NaN                     \n",
497 |        "1                                                  NaN                     \n",
498 |        "2                                                  NaN                     \n",
499 |        "3                                                  NaN                     \n",
500 |        "4                                                  NaN                     \n",
501 |        "..                                                 ...                     \n",
502 |        "125                                                NaN                     \n",
503 |        "126                                                NaN                     \n",
504 |        "127                                                NaN                     \n",
505 |        "128                                                NaN                     \n",
506 |        "129                                                NaN                     \n",
507 |        "\n",
508 |        "      source  \n",
509 |        "0    solr-v7  \n",
510 |        "1    solr-v7  \n",
511 |        "2    solr-v7  \n",
512 |        "3    solr-v7  \n",
513 |        "4    solr-v7  \n",
514 |        "..       ...  \n",
515 |        "125  solr-v7  \n",
516 |        "126  solr-v7  \n",
517 |        "127  solr-v7  \n",
518 |        "128  solr-v7  \n",
519 |        "129  solr-v7  \n",
520 |        "\n",
521 |        "[130 rows x 164 columns]"
522 |       ]
523 |      },
524 |      "execution_count": 35,
525 |      "metadata": {},
526 |      "output_type": "execute_result"
527 |     }
528 |    ],
529 |    "source": [
530 |     "products = pd.read_csv('smart_home_gifts.csv')\n",
531 |     "\n",
532 |     "products"
533 |    ]
534 |   },
535 |   {
536 |    "cell_type": "code",
537 |    "execution_count": 33,
538 |    "metadata": {},
539 |    "outputs": [
540 |     {
541 |      "data": {
542 |       "text/plain": [
543 |        "<matplotlib.axes._subplots.AxesSubplot at 0x12037e810>"
544 |       ]
545 |      },
546 |      "execution_count": 33,
547 |      "metadata": {},
548 |      "output_type": "execute_result"
549 |     },
550 |     {
551 |      "data": {
552 |       "image/png": 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\n",
553 |       "text/plain": [
554 |        "<Figure size 640x480 with 1 Axes>"
555 |       ]
556 |      },
557 |      "metadata": {},
558 |      "output_type": "display_data"
559 |     }
560 |    ],
561 |    "source": [
562 |     "products.groupby('skus.info.brandName')['skus.ratingsReviews.totalReviews'] \\\n",
563 |     "    .sum() \\\n",
564 |     "    .sort_values(ascending=False) \\\n",
565 |     "    .head(5) \\\n",
566 |     "    .plot(kind='barh')"
567 |    ]
568 |   },
569 |   {
570 |    "cell_type": "code",
571 |    "execution_count": 31,
572 |    "metadata": {},
573 |    "outputs": [
574 |     {
575 |      "data": {
576 |       "image/png": 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\n",
577 |       "text/plain": [
578 |        "<Figure size 640x480 with 1 Axes>"
579 |       ]
580 |      },
581 |      "metadata": {},
582 |      "output_type": "display_data"
583 |     }
584 |    ],
585 |    "source": [
586 |     "products.groupby('skus.info.brandName')['skus.storeSku.pricing.percentageOff'] \\\n",
587 |     "    .mean() \\\n",
588 |     "    .sort_values(ascending=False) \\\n",
589 |     "    .plot(kind='pie')\n",
590 |     "\n",
591 |     "plt.axis('off')\n",
592 |     "plt.show()\n",
593 |     "plt.close()"
594 |    ]
595 |   },
596 |   {
597 |    "cell_type": "code",
598 |    "execution_count": null,
599 |    "metadata": {},
600 |    "outputs": [],
601 |    "source": []
602 |   }
603 |  ],
604 |  "metadata": {
605 |   "kernelspec": {
606 |    "display_name": "Python 3",
607 |    "language": "python",
608 |    "name": "python3"
609 |   },
610 |   "language_info": {
611 |    "codemirror_mode": {
612 |     "name": "ipython",
613 |     "version": 3
614 |    },
615 |    "file_extension": ".py",
616 |    "mimetype": "text/x-python",
617 |    "name": "python",
618 |    "nbconvert_exporter": "python",
619 |    "pygments_lexer": "ipython3",
620 |    "version": "3.7.4"
621 |   }
622 |  },
623 |  "nbformat": 4,
624 |  "nbformat_minor": 2
625 | }
626 | 


--------------------------------------------------------------------------------
/Instagram Post Likers - Record Breaking Egg.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 32,
  6 |    "metadata": {},
  7 |    "outputs": [],
  8 |    "source": [
  9 |     "import os\n",
 10 |     "import pandas as pd\n",
 11 |     "import numpy as np\n",
 12 |     "import matplotlib.pyplot as plt\n",
 13 |     "import matplotlib.dates as mdates\n",
 14 |     "\n",
 15 |     "plt.style.use('default')\n",
 16 |     "plt.style.use('dark_background')"
 17 |    ]
 18 |   },
 19 |   {
 20 |    "cell_type": "code",
 21 |    "execution_count": 33,
 22 |    "metadata": {},
 23 |    "outputs": [
 24 |     {
 25 |      "data": {
 26 |       "text/plain": [
 27 |        "(100000, 25)"
 28 |       ]
 29 |      },
 30 |      "execution_count": 33,
 31 |      "metadata": {},
 32 |      "output_type": "execute_result"
 33 |     }
 34 |    ],
 35 |    "source": [
 36 |     "likers = pd.read_csv('egg_likers.csv')\n",
 37 |     "\n",
 38 |     "likers.shape"
 39 |    ]
 40 |   },
 41 |   {
 42 |    "cell_type": "code",
 43 |    "execution_count": 44,
 44 |    "metadata": {},
 45 |    "outputs": [
 46 |     {
 47 |      "data": {
 48 |       "text/plain": [
 49 |        "<matplotlib.axes._subplots.AxesSubplot at 0x117ad9f50>"
 50 |       ]
 51 |      },
 52 |      "execution_count": 44,
 53 |      "metadata": {},
 54 |      "output_type": "execute_result"
 55 |     },
 56 |     {
 57 |      "data": {
 58 |       "image/png": 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\n",
 59 |       "text/plain": [
 60 |        "<Figure size 640x480 with 1 Axes>"
 61 |       ]
 62 |      },
 63 |      "metadata": {},
 64 |      "output_type": "display_data"
 65 |     }
 66 |    ],
 67 |    "source": [
 68 |     "likers['data.shortcode_media.edge_liked_by.edges.node.is_private'] \\\n",
 69 |     "    .value_counts() \\\n",
 70 |     "    .sort_index(ascending=True) \\\n",
 71 |     "    .plot(kind='pie', labels=['Public', 'Private'])"
 72 |    ]
 73 |   },
 74 |   {
 75 |    "cell_type": "code",
 76 |    "execution_count": 35,
 77 |    "metadata": {},
 78 |    "outputs": [
 79 |     {
 80 |      "data": {
 81 |       "text/plain": [
 82 |        "14"
 83 |       ]
 84 |      },
 85 |      "execution_count": 35,
 86 |      "metadata": {},
 87 |      "output_type": "execute_result"
 88 |     }
 89 |    ],
 90 |    "source": [
 91 |     "email_regex = \"\"\"(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|\"(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21\\x23-\\x5b\\x5d-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])*\")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\\[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-]*[a-z0-9]:(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21-\\x5a\\x53-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])+)\\])\"\"\"\n",
 92 |     "\n",
 93 |     "email_users = likers.loc[likers['data.shortcode_media.edge_liked_by.edges.node.full_name'].str.count(email_regex) > 0].copy()\n",
 94 |     "email_users.shape[0]"
 95 |    ]
 96 |   },
 97 |   {
 98 |    "cell_type": "code",
 99 |    "execution_count": 36,
100 |    "metadata": {},
101 |    "outputs": [],
102 |    "source": [
103 |     "likers['username_length'] = likers['data.shortcode_media.edge_liked_by.edges.node.username'].str.count('')\n",
104 |     "likers['username_length'] = np.where(\n",
105 |     "    likers['username_length'] > 255,\n",
106 |     "    255,\n",
107 |     "    likers['username_length']\n",
108 |     ")"
109 |    ]
110 |   },
111 |   {
112 |    "cell_type": "code",
113 |    "execution_count": 38,
114 |    "metadata": {},
115 |    "outputs": [
116 |     {
117 |      "data": {
118 |       "text/plain": [
119 |        "<matplotlib.axes._subplots.AxesSubplot at 0x112b5fe50>"
120 |       ]
121 |      },
122 |      "execution_count": 38,
123 |      "metadata": {},
124 |      "output_type": "execute_result"
125 |     },
126 |     {
127 |      "data": {
128 |       "image/png": 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\n",
129 |       "text/plain": [
130 |        "<Figure size 2000x500 with 1 Axes>"
131 |       ]
132 |      },
133 |      "metadata": {},
134 |      "output_type": "display_data"
135 |     }
136 |    ],
137 |    "source": [
138 |     "likers['username_length'] \\\n",
139 |     "    .value_counts() \\\n",
140 |     "    .sort_index(ascending=True) \\\n",
141 |     "    .plot(kind='bar', figsize=(20,5))"
142 |    ]
143 |   },
144 |   {
145 |    "cell_type": "code",
146 |    "execution_count": null,
147 |    "metadata": {},
148 |    "outputs": [],
149 |    "source": []
150 |   }
151 |  ],
152 |  "metadata": {
153 |   "kernelspec": {
154 |    "display_name": "Python 3",
155 |    "language": "python",
156 |    "name": "python3"
157 |   },
158 |   "language_info": {
159 |    "codemirror_mode": {
160 |     "name": "ipython",
161 |     "version": 3
162 |    },
163 |    "file_extension": ".py",
164 |    "mimetype": "text/x-python",
165 |    "name": "python",
166 |    "nbconvert_exporter": "python",
167 |    "pygments_lexer": "ipython3",
168 |    "version": "3.7.4"
169 |   }
170 |  },
171 |  "nbformat": 4,
172 |  "nbformat_minor": 2
173 | }
174 | 


--------------------------------------------------------------------------------