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Datasets:
misikoff
/
zillow

Tasks:
Tabular Regression
Time Series Forecasting
Languages:
English
License:
Dataset card Files Community
misikoff commited on
Commit
4b69ce5
•
1 Parent(s): a460052

fix: incorporate other geographies for rentals

Browse files
Files changed (2) hide show
  1. processed/rentals/final.jsonl +2 -2
  2. processors/rentals.ipynb +806 -240
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processors/rentals.ipynb CHANGED
@@ -25,7 +25,7 @@
25
  },
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  {
27
  "cell_type": "code",
28
- "execution_count": 79,
29
  "metadata": {},
30
  "outputs": [
31
  {
@@ -55,71 +55,107 @@
55
  " <th>RegionType</th>\n",
56
  " <th>StateName</th>\n",
57
  " <th>Home Type</th>\n",
 
 
 
 
58
  " <th>Date</th>\n",
59
  " <th>Rent (Smoothed)</th>\n",
 
60
  " <th>Rent (Smoothed) (Seasonally Adjusted)</th>\n",
 
61
  " </tr>\n",
62
  " </thead>\n",
63
  " <tbody>\n",
64
  " <tr>\n",
65
  " <th>0</th>\n",
66
- " <td>102001</td>\n",
67
- " <td>0</td>\n",
68
- " <td>United States</td>\n",
69
- " <td>country</td>\n",
70
- " <td>NaN</td>\n",
71
- " <td>SFR</td>\n",
 
 
 
 
72
  " <td>2015-01-31</td>\n",
73
- " <td>1251.119548</td>\n",
74
- " <td>1253.380721</td>\n",
 
 
75
  " </tr>\n",
76
  " <tr>\n",
77
  " <th>1</th>\n",
78
- " <td>102001</td>\n",
79
- " <td>0</td>\n",
80
- " <td>United States</td>\n",
81
- " <td>country</td>\n",
82
- " <td>NaN</td>\n",
83
- " <td>SFR</td>\n",
 
 
 
 
84
  " <td>2015-02-28</td>\n",
85
- " <td>1257.678915</td>\n",
86
- " <td>1258.745304</td>\n",
 
 
87
  " </tr>\n",
88
  " <tr>\n",
89
  " <th>2</th>\n",
90
- " <td>102001</td>\n",
91
- " <td>0</td>\n",
92
- " <td>United States</td>\n",
93
- " <td>country</td>\n",
94
- " <td>NaN</td>\n",
95
- " <td>SFR</td>\n",
 
 
 
 
96
  " <td>2015-03-31</td>\n",
97
- " <td>1266.242657</td>\n",
98
- " <td>1263.914519</td>\n",
 
 
99
  " </tr>\n",
100
  " <tr>\n",
101
  " <th>3</th>\n",
102
- " <td>102001</td>\n",
103
- " <td>0</td>\n",
104
- " <td>United States</td>\n",
105
- " <td>country</td>\n",
106
- " <td>NaN</td>\n",
107
- " <td>SFR</td>\n",
 
 
 
 
108
  " <td>2015-04-30</td>\n",
109
- " <td>1276.548397</td>\n",
110
- " <td>1269.232278</td>\n",
 
 
111
  " </tr>\n",
112
  " <tr>\n",
113
  " <th>4</th>\n",
114
- " <td>102001</td>\n",
115
- " <td>0</td>\n",
116
- " <td>United States</td>\n",
117
- " <td>country</td>\n",
118
- " <td>NaN</td>\n",
119
- " <td>SFR</td>\n",
 
 
 
 
120
  " <td>2015-05-31</td>\n",
121
- " <td>1286.191645</td>\n",
122
- " <td>1273.346695</td>\n",
 
 
123
  " </tr>\n",
124
  " <tr>\n",
125
  " <th>...</th>\n",
@@ -132,103 +168,165 @@
132
  " <td>...</td>\n",
133
  " <td>...</td>\n",
134
  " <td>...</td>\n",
 
 
 
 
 
 
135
  " </tr>\n",
136
  " <tr>\n",
137
- " <th>96007</th>\n",
138
- " <td>845167</td>\n",
139
- " <td>296</td>\n",
140
- " <td>Ottawa, IL</td>\n",
141
- " <td>msa</td>\n",
142
- " <td>IL</td>\n",
143
- " <td>multifamily</td>\n",
144
- " <td>2023-08-31</td>\n",
145
  " <td>NaN</td>\n",
146
  " <td>NaN</td>\n",
 
 
 
 
 
 
147
  " </tr>\n",
148
  " <tr>\n",
149
- " <th>96008</th>\n",
150
- " <td>845167</td>\n",
151
- " <td>296</td>\n",
152
- " <td>Ottawa, IL</td>\n",
153
- " <td>msa</td>\n",
154
- " <td>IL</td>\n",
155
- " <td>multifamily</td>\n",
156
- " <td>2023-09-30</td>\n",
 
157
  " <td>NaN</td>\n",
158
  " <td>NaN</td>\n",
 
 
 
 
 
159
  " </tr>\n",
160
  " <tr>\n",
161
- " <th>96009</th>\n",
162
- " <td>845167</td>\n",
163
- " <td>296</td>\n",
164
- " <td>Ottawa, IL</td>\n",
165
- " <td>msa</td>\n",
166
- " <td>IL</td>\n",
167
- " <td>multifamily</td>\n",
168
- " <td>2023-10-31</td>\n",
169
  " <td>NaN</td>\n",
170
  " <td>NaN</td>\n",
 
 
 
 
 
 
171
  " </tr>\n",
172
  " <tr>\n",
173
- " <th>96010</th>\n",
174
- " <td>845167</td>\n",
175
- " <td>296</td>\n",
176
- " <td>Ottawa, IL</td>\n",
177
- " <td>msa</td>\n",
178
- " <td>IL</td>\n",
179
- " <td>multifamily</td>\n",
 
 
 
 
180
  " <td>2023-11-30</td>\n",
181
- " <td>802.086919</td>\n",
182
- " <td>802.086919</td>\n",
 
 
183
  " </tr>\n",
184
  " <tr>\n",
185
- " <th>96011</th>\n",
186
- " <td>845167</td>\n",
187
- " <td>296</td>\n",
188
- " <td>Ottawa, IL</td>\n",
189
- " <td>msa</td>\n",
190
- " <td>IL</td>\n",
191
- " <td>multifamily</td>\n",
 
 
 
 
192
  " <td>2023-12-31</td>\n",
193
- " <td>800.000000</td>\n",
194
- " <td>800.000000</td>\n",
 
 
195
  " </tr>\n",
196
  " </tbody>\n",
197
  "</table>\n",
198
- "<p>96012 rows × 9 columns</p>\n",
199
  "</div>"
200
  ],
201
  "text/plain": [
202
- " RegionID SizeRank RegionName RegionType StateName Home Type \\\n",
203
- "0 102001 0 United States country NaN SFR \n",
204
- "1 102001 0 United States country NaN SFR \n",
205
- "2 102001 0 United States country NaN SFR \n",
206
- "3 102001 0 United States country NaN SFR \n",
207
- "4 102001 0 United States country NaN SFR \n",
208
- "... ... ... ... ... ... ... \n",
209
- "96007 845167 296 Ottawa, IL msa IL multifamily \n",
210
- "96008 845167 296 Ottawa, IL msa IL multifamily \n",
211
- "96009 845167 296 Ottawa, IL msa IL multifamily \n",
212
- "96010 845167 296 Ottawa, IL msa IL multifamily \n",
213
- "96011 845167 296 Ottawa, IL msa IL multifamily \n",
214
  "\n",
215
- " Date Rent (Smoothed) Rent (Smoothed) (Seasonally Adjusted) \n",
216
- "0 2015-01-31 1251.119548 1253.380721 \n",
217
- "1 2015-02-28 1257.678915 1258.745304 \n",
218
- "2 2015-03-31 1266.242657 1263.914519 \n",
219
- "3 2015-04-30 1276.548397 1269.232278 \n",
220
- "4 2015-05-31 1286.191645 1273.346695 \n",
221
- "... ... ... ... \n",
222
- "96007 2023-08-31 NaN NaN \n",
223
- "96008 2023-09-30 NaN NaN \n",
224
- "96009 2023-10-31 NaN NaN \n",
225
- "96010 2023-11-30 802.086919 802.086919 \n",
226
- "96011 2023-12-31 800.000000 800.000000 \n",
227
  "\n",
228
- "[96012 rows x 9 columns]"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
229
  ]
230
  },
231
- "execution_count": 79,
232
  "metadata": {},
233
  "output_type": "execute_result"
234
  }
@@ -236,14 +334,6 @@
236
  "source": [
237
  "# base cols RegionID,SizeRank,RegionName,RegionType,StateName\n",
238
  "\n",
239
- "exclude_columns = [\n",
240
- " \"RegionID\",\n",
241
- " \"SizeRank\",\n",
242
- " \"RegionName\",\n",
243
- " \"RegionType\",\n",
244
- " \"StateName\",\n",
245
- " \"Home Type\",\n",
246
- "]\n",
247
  "\n",
248
  "data_frames = []\n",
249
  "\n",
@@ -251,11 +341,63 @@
251
  " if filename.endswith(\".csv\"):\n",
252
  " # print(\"processing \" + filename)\n",
253
  " cur_df = pd.read_csv(os.path.join(FULL_DATA_DIR_PATH, filename))\n",
 
 
 
 
 
 
 
 
254
  "\n",
255
  " if \"_sfrcondomfr_\" in filename:\n",
256
  " cur_df[\"Home Type\"] = \"all homes plus multifamily\"\n",
257
  " # skip for now\n",
258
- " continue\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
259
  " elif \"_sfr_\" in filename:\n",
260
  " cur_df[\"Home Type\"] = \"SFR\"\n",
261
  " elif \"_mfr_\" in filename:\n",
@@ -267,7 +409,6 @@
267
  " smoothed = \"_sm_\" in filename\n",
268
  " seasonally_adjusted = \"_sa_\" in filename\n",
269
  "\n",
270
- " # if \"_mlp_\" in filename:\n",
271
  " col_name = \"Rent\"\n",
272
  " if smoothed:\n",
273
  " col_name += \" (Smoothed)\"\n",
@@ -334,7 +475,347 @@
334
  },
335
  {
336
  "cell_type": "code",
337
- "execution_count": 80,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
338
  "metadata": {},
339
  "outputs": [
340
  {
@@ -362,73 +843,103 @@
362
  " <th>Size Rank</th>\n",
363
  " <th>Region</th>\n",
364
  " <th>Region Type</th>\n",
365
- " <th>State</th>\n",
366
  " <th>Home Type</th>\n",
 
 
 
 
367
  " <th>Date</th>\n",
368
  " <th>Rent (Smoothed)</th>\n",
369
  " <th>Rent (Smoothed) (Seasonally Adjusted)</th>\n",
 
 
370
  " </tr>\n",
371
  " </thead>\n",
372
  " <tbody>\n",
373
  " <tr>\n",
374
  " <th>0</th>\n",
375
- " <td>102001</td>\n",
376
- " <td>0</td>\n",
377
- " <td>United States</td>\n",
378
- " <td>country</td>\n",
379
- " <td>NaN</td>\n",
380
- " <td>SFR</td>\n",
 
 
 
381
  " <td>2015-01-31</td>\n",
382
- " <td>1251.119548</td>\n",
383
- " <td>1253.380721</td>\n",
 
 
384
  " </tr>\n",
385
  " <tr>\n",
386
- " <th>108</th>\n",
387
- " <td>102001</td>\n",
388
- " <td>0</td>\n",
389
- " <td>United States</td>\n",
390
- " <td>country</td>\n",
 
 
 
 
 
 
 
 
391
  " <td>NaN</td>\n",
392
- " <td>multifamily</td>\n",
393
- " <td>2015-01-31</td>\n",
394
- " <td>1230.637976</td>\n",
395
- " <td>1230.637976</td>\n",
396
  " </tr>\n",
397
  " <tr>\n",
398
- " <th>1</th>\n",
399
- " <td>102001</td>\n",
400
- " <td>0</td>\n",
401
- " <td>United States</td>\n",
402
- " <td>country</td>\n",
 
 
 
 
 
 
 
 
403
  " <td>NaN</td>\n",
404
- " <td>SFR</td>\n",
405
- " <td>2015-02-28</td>\n",
406
- " <td>1257.678915</td>\n",
407
- " <td>1258.745304</td>\n",
408
  " </tr>\n",
409
  " <tr>\n",
410
- " <th>109</th>\n",
411
- " <td>102001</td>\n",
412
- " <td>0</td>\n",
413
- " <td>United States</td>\n",
414
- " <td>country</td>\n",
 
 
 
 
 
 
 
 
415
  " <td>NaN</td>\n",
416
- " <td>multifamily</td>\n",
417
- " <td>2015-02-28</td>\n",
418
- " <td>1236.170604</td>\n",
419
- " <td>1236.170604</td>\n",
420
  " </tr>\n",
421
  " <tr>\n",
422
- " <th>2</th>\n",
423
- " <td>102001</td>\n",
424
- " <td>0</td>\n",
425
- " <td>United States</td>\n",
426
- " <td>country</td>\n",
 
 
 
 
 
 
 
 
427
  " <td>NaN</td>\n",
428
- " <td>SFR</td>\n",
429
- " <td>2015-03-31</td>\n",
430
- " <td>1266.242657</td>\n",
431
- " <td>1263.914519</td>\n",
432
  " </tr>\n",
433
  " <tr>\n",
434
  " <th>...</th>\n",
@@ -441,126 +952,181 @@
441
  " <td>...</td>\n",
442
  " <td>...</td>\n",
443
  " <td>...</td>\n",
 
 
 
 
 
444
  " </tr>\n",
445
  " <tr>\n",
446
- " <th>96007</th>\n",
447
- " <td>845167</td>\n",
448
- " <td>296</td>\n",
449
- " <td>Ottawa, IL</td>\n",
450
- " <td>msa</td>\n",
451
- " <td>IL</td>\n",
452
- " <td>multifamily</td>\n",
453
- " <td>2023-08-31</td>\n",
 
454
  " <td>NaN</td>\n",
 
 
 
 
455
  " <td>NaN</td>\n",
456
  " </tr>\n",
457
  " <tr>\n",
458
- " <th>96008</th>\n",
459
- " <td>845167</td>\n",
460
- " <td>296</td>\n",
461
- " <td>Ottawa, IL</td>\n",
462
- " <td>msa</td>\n",
463
- " <td>IL</td>\n",
464
- " <td>multifamily</td>\n",
465
- " <td>2023-09-30</td>\n",
466
  " <td>NaN</td>\n",
467
  " <td>NaN</td>\n",
 
 
 
 
 
 
468
  " </tr>\n",
469
  " <tr>\n",
470
- " <th>96009</th>\n",
471
- " <td>845167</td>\n",
472
- " <td>296</td>\n",
473
- " <td>Ottawa, IL</td>\n",
474
- " <td>msa</td>\n",
475
- " <td>IL</td>\n",
476
- " <td>multifamily</td>\n",
477
- " <td>2023-10-31</td>\n",
 
478
  " <td>NaN</td>\n",
 
 
 
 
479
  " <td>NaN</td>\n",
480
  " </tr>\n",
481
  " <tr>\n",
482
- " <th>96010</th>\n",
483
- " <td>845167</td>\n",
484
- " <td>296</td>\n",
485
- " <td>Ottawa, IL</td>\n",
486
- " <td>msa</td>\n",
487
- " <td>IL</td>\n",
488
- " <td>multifamily</td>\n",
 
 
 
489
  " <td>2023-11-30</td>\n",
490
- " <td>802.086919</td>\n",
491
- " <td>802.086919</td>\n",
 
 
492
  " </tr>\n",
493
  " <tr>\n",
494
- " <th>96011</th>\n",
495
- " <td>845167</td>\n",
496
- " <td>296</td>\n",
497
- " <td>Ottawa, IL</td>\n",
498
- " <td>msa</td>\n",
499
- " <td>IL</td>\n",
500
- " <td>multifamily</td>\n",
 
 
 
501
  " <td>2023-12-31</td>\n",
502
- " <td>800.000000</td>\n",
503
- " <td>800.000000</td>\n",
 
 
504
  " </tr>\n",
505
  " </tbody>\n",
506
  "</table>\n",
507
- "<p>96012 rows × 9 columns</p>\n",
508
  "</div>"
509
  ],
510
  "text/plain": [
511
- " Region ID Size Rank Region Region Type State Home Type \\\n",
512
- "0 102001 0 United States country NaN SFR \n",
513
- "108 102001 0 United States country NaN multifamily \n",
514
- "1 102001 0 United States country NaN SFR \n",
515
- "109 102001 0 United States country NaN multifamily \n",
516
- "2 102001 0 United States country NaN SFR \n",
517
- "... ... ... ... ... ... ... \n",
518
- "96007 845167 296 Ottawa, IL msa IL multifamily \n",
519
- "96008 845167 296 Ottawa, IL msa IL multifamily \n",
520
- "96009 845167 296 Ottawa, IL msa IL multifamily \n",
521
- "96010 845167 296 Ottawa, IL msa IL multifamily \n",
522
- "96011 845167 296 Ottawa, IL msa IL multifamily \n",
 
 
 
 
 
 
 
 
 
 
 
 
 
523
  "\n",
524
- " Date Rent (Smoothed) Rent (Smoothed) (Seasonally Adjusted) \n",
525
- "0 2015-01-31 1251.119548 1253.380721 \n",
526
- "108 2015-01-31 1230.637976 1230.637976 \n",
527
- "1 2015-02-28 1257.678915 1258.745304 \n",
528
- "109 2015-02-28 1236.170604 1236.170604 \n",
529
- "2 2015-03-31 1266.242657 1263.914519 \n",
530
- "... ... ... ... \n",
531
- "96007 2023-08-31 NaN NaN \n",
532
- "96008 2023-09-30 NaN NaN \n",
533
- "96009 2023-10-31 NaN NaN \n",
534
- "96010 2023-11-30 802.086919 802.086919 \n",
535
- "96011 2023-12-31 800.000000 800.000000 \n",
536
  "\n",
537
- "[96012 rows x 9 columns]"
 
 
 
 
 
 
 
 
 
 
 
 
 
538
  ]
539
  },
540
- "execution_count": 80,
541
  "metadata": {},
542
  "output_type": "execute_result"
543
  }
544
  ],
545
  "source": [
546
- "final_df = combined_df\n",
547
  "final_df = final_df.rename(\n",
548
  " columns={\n",
549
  " \"RegionID\": \"Region ID\",\n",
550
  " \"SizeRank\": \"Size Rank\",\n",
551
  " \"RegionName\": \"Region\",\n",
552
  " \"RegionType\": \"Region Type\",\n",
553
- " \"StateName\": \"State\",\n",
 
554
  " }\n",
555
  ")\n",
556
  "\n",
557
- "# sort by region id and date\n",
558
- "final_df.sort_values(by=[\"Region ID\", \"Date\", \"Home Type\"])"
559
  ]
560
  },
561
  {
562
  "cell_type": "code",
563
- "execution_count": 81,
564
  "metadata": {},
565
  "outputs": [],
566
  "source": [
 
25
  },
26
  {
27
  "cell_type": "code",
28
+ "execution_count": 26,
29
  "metadata": {},
30
  "outputs": [
31
  {
 
55
  " <th>RegionType</th>\n",
56
  " <th>StateName</th>\n",
57
  " <th>Home Type</th>\n",
58
+ " <th>State</th>\n",
59
+ " <th>Metro</th>\n",
60
+ " <th>StateCodeFIPS</th>\n",
61
+ " <th>MunicipalCodeFIPS</th>\n",
62
  " <th>Date</th>\n",
63
  " <th>Rent (Smoothed)</th>\n",
64
+ " <th>CountyName</th>\n",
65
  " <th>Rent (Smoothed) (Seasonally Adjusted)</th>\n",
66
+ " <th>City</th>\n",
67
  " </tr>\n",
68
  " </thead>\n",
69
  " <tbody>\n",
70
  " <tr>\n",
71
  " <th>0</th>\n",
72
+ " <td>66</td>\n",
73
+ " <td>146</td>\n",
74
+ " <td>Ada County</td>\n",
75
+ " <td>county</td>\n",
76
+ " <td>ID</td>\n",
77
+ " <td>all homes plus multifamily</td>\n",
78
+ " <td>ID</td>\n",
79
+ " <td>Boise City, ID</td>\n",
80
+ " <td>16.0</td>\n",
81
+ " <td>1.0</td>\n",
82
  " <td>2015-01-31</td>\n",
83
+ " <td>927.493763</td>\n",
84
+ " <td>NaN</td>\n",
85
+ " <td>927.493763</td>\n",
86
+ " <td>NaN</td>\n",
87
  " </tr>\n",
88
  " <tr>\n",
89
  " <th>1</th>\n",
90
+ " <td>66</td>\n",
91
+ " <td>146</td>\n",
92
+ " <td>Ada County</td>\n",
93
+ " <td>county</td>\n",
94
+ " <td>ID</td>\n",
95
+ " <td>all homes plus multifamily</td>\n",
96
+ " <td>ID</td>\n",
97
+ " <td>Boise City, ID</td>\n",
98
+ " <td>16.0</td>\n",
99
+ " <td>1.0</td>\n",
100
  " <td>2015-02-28</td>\n",
101
+ " <td>931.690623</td>\n",
102
+ " <td>NaN</td>\n",
103
+ " <td>931.690623</td>\n",
104
+ " <td>NaN</td>\n",
105
  " </tr>\n",
106
  " <tr>\n",
107
  " <th>2</th>\n",
108
+ " <td>66</td>\n",
109
+ " <td>146</td>\n",
110
+ " <td>Ada County</td>\n",
111
+ " <td>county</td>\n",
112
+ " <td>ID</td>\n",
113
+ " <td>all homes plus multifamily</td>\n",
114
+ " <td>ID</td>\n",
115
+ " <td>Boise City, ID</td>\n",
116
+ " <td>16.0</td>\n",
117
+ " <td>1.0</td>\n",
118
  " <td>2015-03-31</td>\n",
119
+ " <td>932.568601</td>\n",
120
+ " <td>NaN</td>\n",
121
+ " <td>932.568601</td>\n",
122
+ " <td>NaN</td>\n",
123
  " </tr>\n",
124
  " <tr>\n",
125
  " <th>3</th>\n",
126
+ " <td>66</td>\n",
127
+ " <td>146</td>\n",
128
+ " <td>Ada County</td>\n",
129
+ " <td>county</td>\n",
130
+ " <td>ID</td>\n",
131
+ " <td>all homes plus multifamily</td>\n",
132
+ " <td>ID</td>\n",
133
+ " <td>Boise City, ID</td>\n",
134
+ " <td>16.0</td>\n",
135
+ " <td>1.0</td>\n",
136
  " <td>2015-04-30</td>\n",
137
+ " <td>933.148134</td>\n",
138
+ " <td>NaN</td>\n",
139
+ " <td>933.148134</td>\n",
140
+ " <td>NaN</td>\n",
141
  " </tr>\n",
142
  " <tr>\n",
143
  " <th>4</th>\n",
144
+ " <td>66</td>\n",
145
+ " <td>146</td>\n",
146
+ " <td>Ada County</td>\n",
147
+ " <td>county</td>\n",
148
+ " <td>ID</td>\n",
149
+ " <td>all homes plus multifamily</td>\n",
150
+ " <td>ID</td>\n",
151
+ " <td>Boise City, ID</td>\n",
152
+ " <td>16.0</td>\n",
153
+ " <td>1.0</td>\n",
154
  " <td>2015-05-31</td>\n",
155
+ " <td>941.045724</td>\n",
156
+ " <td>NaN</td>\n",
157
+ " <td>941.045724</td>\n",
158
+ " <td>NaN</td>\n",
159
  " </tr>\n",
160
  " <tr>\n",
161
  " <th>...</th>\n",
 
168
  " <td>...</td>\n",
169
  " <td>...</td>\n",
170
  " <td>...</td>\n",
171
+ " <td>...</td>\n",
172
+ " <td>...</td>\n",
173
+ " <td>...</td>\n",
174
+ " <td>...</td>\n",
175
+ " <td>...</td>\n",
176
+ " <td>...</td>\n",
177
  " </tr>\n",
178
  " <tr>\n",
179
+ " <th>1258735</th>\n",
180
+ " <td>857850</td>\n",
181
+ " <td>713</td>\n",
182
+ " <td>Cherry Hill</td>\n",
183
+ " <td>city</td>\n",
184
+ " <td>NJ</td>\n",
185
+ " <td>all homes plus multifamily</td>\n",
186
+ " <td>NaN</td>\n",
187
  " <td>NaN</td>\n",
188
  " <td>NaN</td>\n",
189
+ " <td>NaN</td>\n",
190
+ " <td>2023-08-31</td>\n",
191
+ " <td>2291.604800</td>\n",
192
+ " <td>Camden County</td>\n",
193
+ " <td>2244.961006</td>\n",
194
+ " <td>NaN</td>\n",
195
  " </tr>\n",
196
  " <tr>\n",
197
+ " <th>1258736</th>\n",
198
+ " <td>857850</td>\n",
199
+ " <td>713</td>\n",
200
+ " <td>Cherry Hill</td>\n",
201
+ " <td>city</td>\n",
202
+ " <td>NJ</td>\n",
203
+ " <td>all homes plus multifamily</td>\n",
204
+ " <td>NaN</td>\n",
205
+ " <td>NaN</td>\n",
206
  " <td>NaN</td>\n",
207
  " <td>NaN</td>\n",
208
+ " <td>2023-09-30</td>\n",
209
+ " <td>2296.188906</td>\n",
210
+ " <td>Camden County</td>\n",
211
+ " <td>2254.213172</td>\n",
212
+ " <td>NaN</td>\n",
213
  " </tr>\n",
214
  " <tr>\n",
215
+ " <th>1258737</th>\n",
216
+ " <td>857850</td>\n",
217
+ " <td>713</td>\n",
218
+ " <td>Cherry Hill</td>\n",
219
+ " <td>city</td>\n",
220
+ " <td>NJ</td>\n",
221
+ " <td>all homes plus multifamily</td>\n",
222
+ " <td>NaN</td>\n",
223
  " <td>NaN</td>\n",
224
  " <td>NaN</td>\n",
225
+ " <td>NaN</td>\n",
226
+ " <td>2023-10-31</td>\n",
227
+ " <td>2292.270938</td>\n",
228
+ " <td>Camden County</td>\n",
229
+ " <td>2261.540446</td>\n",
230
+ " <td>NaN</td>\n",
231
  " </tr>\n",
232
  " <tr>\n",
233
+ " <th>1258738</th>\n",
234
+ " <td>857850</td>\n",
235
+ " <td>713</td>\n",
236
+ " <td>Cherry Hill</td>\n",
237
+ " <td>city</td>\n",
238
+ " <td>NJ</td>\n",
239
+ " <td>all homes plus multifamily</td>\n",
240
+ " <td>NaN</td>\n",
241
+ " <td>NaN</td>\n",
242
+ " <td>NaN</td>\n",
243
+ " <td>NaN</td>\n",
244
  " <td>2023-11-30</td>\n",
245
+ " <td>2253.417140</td>\n",
246
+ " <td>Camden County</td>\n",
247
+ " <td>2257.956024</td>\n",
248
+ " <td>NaN</td>\n",
249
  " </tr>\n",
250
  " <tr>\n",
251
+ " <th>1258739</th>\n",
252
+ " <td>857850</td>\n",
253
+ " <td>713</td>\n",
254
+ " <td>Cherry Hill</td>\n",
255
+ " <td>city</td>\n",
256
+ " <td>NJ</td>\n",
257
+ " <td>all homes plus multifamily</td>\n",
258
+ " <td>NaN</td>\n",
259
+ " <td>NaN</td>\n",
260
+ " <td>NaN</td>\n",
261
+ " <td>NaN</td>\n",
262
  " <td>2023-12-31</td>\n",
263
+ " <td>2280.830303</td>\n",
264
+ " <td>Camden County</td>\n",
265
+ " <td>2280.830303</td>\n",
266
+ " <td>NaN</td>\n",
267
  " </tr>\n",
268
  " </tbody>\n",
269
  "</table>\n",
270
+ "<p>1258740 rows × 15 columns</p>\n",
271
  "</div>"
272
  ],
273
  "text/plain": [
274
+ " RegionID SizeRank RegionName RegionType StateName \\\n",
275
+ "0 66 146 Ada County county ID \n",
276
+ "1 66 146 Ada County county ID \n",
277
+ "2 66 146 Ada County county ID \n",
278
+ "3 66 146 Ada County county ID \n",
279
+ "4 66 146 Ada County county ID \n",
280
+ "... ... ... ... ... ... \n",
281
+ "1258735 857850 713 Cherry Hill city NJ \n",
282
+ "1258736 857850 713 Cherry Hill city NJ \n",
283
+ "1258737 857850 713 Cherry Hill city NJ \n",
284
+ "1258738 857850 713 Cherry Hill city NJ \n",
285
+ "1258739 857850 713 Cherry Hill city NJ \n",
286
  "\n",
287
+ " Home Type State Metro StateCodeFIPS \\\n",
288
+ "0 all homes plus multifamily ID Boise City, ID 16.0 \n",
289
+ "1 all homes plus multifamily ID Boise City, ID 16.0 \n",
290
+ "2 all homes plus multifamily ID Boise City, ID 16.0 \n",
291
+ "3 all homes plus multifamily ID Boise City, ID 16.0 \n",
292
+ "4 all homes plus multifamily ID Boise City, ID 16.0 \n",
293
+ "... ... ... ... ... \n",
294
+ "1258735 all homes plus multifamily NaN NaN NaN \n",
295
+ "1258736 all homes plus multifamily NaN NaN NaN \n",
296
+ "1258737 all homes plus multifamily NaN NaN NaN \n",
297
+ "1258738 all homes plus multifamily NaN NaN NaN \n",
298
+ "1258739 all homes plus multifamily NaN NaN NaN \n",
299
  "\n",
300
+ " MunicipalCodeFIPS Date Rent (Smoothed) CountyName \\\n",
301
+ "0 1.0 2015-01-31 927.493763 NaN \n",
302
+ "1 1.0 2015-02-28 931.690623 NaN \n",
303
+ "2 1.0 2015-03-31 932.568601 NaN \n",
304
+ "3 1.0 2015-04-30 933.148134 NaN \n",
305
+ "4 1.0 2015-05-31 941.045724 NaN \n",
306
+ "... ... ... ... ... \n",
307
+ "1258735 NaN 2023-08-31 2291.604800 Camden County \n",
308
+ "1258736 NaN 2023-09-30 2296.188906 Camden County \n",
309
+ "1258737 NaN 2023-10-31 2292.270938 Camden County \n",
310
+ "1258738 NaN 2023-11-30 2253.417140 Camden County \n",
311
+ "1258739 NaN 2023-12-31 2280.830303 Camden County \n",
312
+ "\n",
313
+ " Rent (Smoothed) (Seasonally Adjusted) City \n",
314
+ "0 927.493763 NaN \n",
315
+ "1 931.690623 NaN \n",
316
+ "2 932.568601 NaN \n",
317
+ "3 933.148134 NaN \n",
318
+ "4 941.045724 NaN \n",
319
+ "... ... ... \n",
320
+ "1258735 2244.961006 NaN \n",
321
+ "1258736 2254.213172 NaN \n",
322
+ "1258737 2261.540446 NaN \n",
323
+ "1258738 2257.956024 NaN \n",
324
+ "1258739 2280.830303 NaN \n",
325
+ "\n",
326
+ "[1258740 rows x 15 columns]"
327
  ]
328
  },
329
+ "execution_count": 26,
330
  "metadata": {},
331
  "output_type": "execute_result"
332
  }
 
334
  "source": [
335
  "# base cols RegionID,SizeRank,RegionName,RegionType,StateName\n",
336
  "\n",
 
 
 
 
 
 
 
 
337
  "\n",
338
  "data_frames = []\n",
339
  "\n",
 
341
  " if filename.endswith(\".csv\"):\n",
342
  " # print(\"processing \" + filename)\n",
343
  " cur_df = pd.read_csv(os.path.join(FULL_DATA_DIR_PATH, filename))\n",
344
+ " exclude_columns = [\n",
345
+ " \"RegionID\",\n",
346
+ " \"SizeRank\",\n",
347
+ " \"RegionName\",\n",
348
+ " \"RegionType\",\n",
349
+ " \"StateName\",\n",
350
+ " \"Home Type\",\n",
351
+ " ]\n",
352
  "\n",
353
  " if \"_sfrcondomfr_\" in filename:\n",
354
  " cur_df[\"Home Type\"] = \"all homes plus multifamily\"\n",
355
  " # skip for now\n",
356
+ " # continue\n",
357
+ " # change column type to string\n",
358
+ " cur_df[\"RegionName\"] = cur_df[\"RegionName\"].astype(str)\n",
359
+ " if \"City\" in filename:\n",
360
+ " exclude_columns = [\n",
361
+ " \"RegionID\",\n",
362
+ " \"SizeRank\",\n",
363
+ " \"RegionName\",\n",
364
+ " \"RegionType\",\n",
365
+ " \"StateName\",\n",
366
+ " \"Home Type\",\n",
367
+ " # City Specific\n",
368
+ " \"State\",\n",
369
+ " \"Metro\",\n",
370
+ " \"CountyName\",\n",
371
+ " ]\n",
372
+ " elif \"Zip\" in filename:\n",
373
+ " exclude_columns = [\n",
374
+ " \"RegionID\",\n",
375
+ " \"SizeRank\",\n",
376
+ " \"RegionName\",\n",
377
+ " \"RegionType\",\n",
378
+ " \"StateName\",\n",
379
+ " \"Home Type\",\n",
380
+ " # Zip Specific\n",
381
+ " \"State\",\n",
382
+ " \"City\",\n",
383
+ " \"Metro\",\n",
384
+ " \"CountyName\",\n",
385
+ " ]\n",
386
+ " elif \"County\" in filename:\n",
387
+ " exclude_columns = [\n",
388
+ " \"RegionID\",\n",
389
+ " \"SizeRank\",\n",
390
+ " \"RegionName\",\n",
391
+ " \"RegionType\",\n",
392
+ " \"StateName\",\n",
393
+ " \"Home Type\",\n",
394
+ " # County Specific\n",
395
+ " \"State\",\n",
396
+ " \"Metro\",\n",
397
+ " \"StateCodeFIPS\",\n",
398
+ " \"MunicipalCodeFIPS\",\n",
399
+ " ]\n",
400
+ "\n",
401
  " elif \"_sfr_\" in filename:\n",
402
  " cur_df[\"Home Type\"] = \"SFR\"\n",
403
  " elif \"_mfr_\" in filename:\n",
 
409
  " smoothed = \"_sm_\" in filename\n",
410
  " seasonally_adjusted = \"_sa_\" in filename\n",
411
  "\n",
 
412
  " col_name = \"Rent\"\n",
413
  " if smoothed:\n",
414
  " col_name += \" (Smoothed)\"\n",
 
475
  },
476
  {
477
  "cell_type": "code",
478
+ "execution_count": 27,
479
+ "metadata": {},
480
+ "outputs": [
481
+ {
482
+ "data": {
483
+ "text/plain": [
484
+ "Index(['RegionID', 'SizeRank', 'RegionName', 'RegionType', 'StateName',\n",
485
+ " 'Home Type', 'State', 'Metro', 'StateCodeFIPS', 'MunicipalCodeFIPS',\n",
486
+ " 'Date', 'Rent (Smoothed)', 'CountyName',\n",
487
+ " 'Rent (Smoothed) (Seasonally Adjusted)', 'City'],\n",
488
+ " dtype='object')"
489
+ ]
490
+ },
491
+ "execution_count": 27,
492
+ "metadata": {},
493
+ "output_type": "execute_result"
494
+ }
495
+ ],
496
+ "source": [
497
+ "combined_df.columns\n",
498
+ "# combined_df[\"RegionType\"].unique()\n",
499
+ "\n",
500
+ "# combined_df"
501
+ ]
502
+ },
503
+ {
504
+ "cell_type": "code",
505
+ "execution_count": 32,
506
+ "metadata": {},
507
+ "outputs": [
508
+ {
509
+ "data": {
510
+ "text/html": [
511
+ "<div>\n",
512
+ "<style scoped>\n",
513
+ " .dataframe tbody tr th:only-of-type {\n",
514
+ " vertical-align: middle;\n",
515
+ " }\n",
516
+ "\n",
517
+ " .dataframe tbody tr th {\n",
518
+ " vertical-align: top;\n",
519
+ " }\n",
520
+ "\n",
521
+ " .dataframe thead th {\n",
522
+ " text-align: right;\n",
523
+ " }\n",
524
+ "</style>\n",
525
+ "<table border=\"1\" class=\"dataframe\">\n",
526
+ " <thead>\n",
527
+ " <tr style=\"text-align: right;\">\n",
528
+ " <th></th>\n",
529
+ " <th>RegionID</th>\n",
530
+ " <th>SizeRank</th>\n",
531
+ " <th>RegionName</th>\n",
532
+ " <th>RegionType</th>\n",
533
+ " <th>Home Type</th>\n",
534
+ " <th>State</th>\n",
535
+ " <th>Metro</th>\n",
536
+ " <th>StateCodeFIPS</th>\n",
537
+ " <th>MunicipalCodeFIPS</th>\n",
538
+ " <th>Date</th>\n",
539
+ " <th>Rent (Smoothed)</th>\n",
540
+ " <th>Rent (Smoothed) (Seasonally Adjusted)</th>\n",
541
+ " <th>City</th>\n",
542
+ " <th>County</th>\n",
543
+ " </tr>\n",
544
+ " </thead>\n",
545
+ " <tbody>\n",
546
+ " <tr>\n",
547
+ " <th>0</th>\n",
548
+ " <td>66</td>\n",
549
+ " <td>146</td>\n",
550
+ " <td>Ada County</td>\n",
551
+ " <td>county</td>\n",
552
+ " <td>all homes plus multifamily</td>\n",
553
+ " <td>Ada County</td>\n",
554
+ " <td>Boise City, ID</td>\n",
555
+ " <td>16.0</td>\n",
556
+ " <td>1.0</td>\n",
557
+ " <td>2015-01-31</td>\n",
558
+ " <td>927.493763</td>\n",
559
+ " <td>927.493763</td>\n",
560
+ " <td>NaN</td>\n",
561
+ " <td>Ada County</td>\n",
562
+ " </tr>\n",
563
+ " <tr>\n",
564
+ " <th>1</th>\n",
565
+ " <td>66</td>\n",
566
+ " <td>146</td>\n",
567
+ " <td>Ada County</td>\n",
568
+ " <td>county</td>\n",
569
+ " <td>all homes plus multifamily</td>\n",
570
+ " <td>Ada County</td>\n",
571
+ " <td>Boise City, ID</td>\n",
572
+ " <td>16.0</td>\n",
573
+ " <td>1.0</td>\n",
574
+ " <td>2015-02-28</td>\n",
575
+ " <td>931.690623</td>\n",
576
+ " <td>931.690623</td>\n",
577
+ " <td>NaN</td>\n",
578
+ " <td>Ada County</td>\n",
579
+ " </tr>\n",
580
+ " <tr>\n",
581
+ " <th>2</th>\n",
582
+ " <td>66</td>\n",
583
+ " <td>146</td>\n",
584
+ " <td>Ada County</td>\n",
585
+ " <td>county</td>\n",
586
+ " <td>all homes plus multifamily</td>\n",
587
+ " <td>Ada County</td>\n",
588
+ " <td>Boise City, ID</td>\n",
589
+ " <td>16.0</td>\n",
590
+ " <td>1.0</td>\n",
591
+ " <td>2015-03-31</td>\n",
592
+ " <td>932.568601</td>\n",
593
+ " <td>932.568601</td>\n",
594
+ " <td>NaN</td>\n",
595
+ " <td>Ada County</td>\n",
596
+ " </tr>\n",
597
+ " <tr>\n",
598
+ " <th>3</th>\n",
599
+ " <td>66</td>\n",
600
+ " <td>146</td>\n",
601
+ " <td>Ada County</td>\n",
602
+ " <td>county</td>\n",
603
+ " <td>all homes plus multifamily</td>\n",
604
+ " <td>Ada County</td>\n",
605
+ " <td>Boise City, ID</td>\n",
606
+ " <td>16.0</td>\n",
607
+ " <td>1.0</td>\n",
608
+ " <td>2015-04-30</td>\n",
609
+ " <td>933.148134</td>\n",
610
+ " <td>933.148134</td>\n",
611
+ " <td>NaN</td>\n",
612
+ " <td>Ada County</td>\n",
613
+ " </tr>\n",
614
+ " <tr>\n",
615
+ " <th>4</th>\n",
616
+ " <td>66</td>\n",
617
+ " <td>146</td>\n",
618
+ " <td>Ada County</td>\n",
619
+ " <td>county</td>\n",
620
+ " <td>all homes plus multifamily</td>\n",
621
+ " <td>Ada County</td>\n",
622
+ " <td>Boise City, ID</td>\n",
623
+ " <td>16.0</td>\n",
624
+ " <td>1.0</td>\n",
625
+ " <td>2015-05-31</td>\n",
626
+ " <td>941.045724</td>\n",
627
+ " <td>941.045724</td>\n",
628
+ " <td>NaN</td>\n",
629
+ " <td>Ada County</td>\n",
630
+ " </tr>\n",
631
+ " <tr>\n",
632
+ " <th>...</th>\n",
633
+ " <td>...</td>\n",
634
+ " <td>...</td>\n",
635
+ " <td>...</td>\n",
636
+ " <td>...</td>\n",
637
+ " <td>...</td>\n",
638
+ " <td>...</td>\n",
639
+ " <td>...</td>\n",
640
+ " <td>...</td>\n",
641
+ " <td>...</td>\n",
642
+ " <td>...</td>\n",
643
+ " <td>...</td>\n",
644
+ " <td>...</td>\n",
645
+ " <td>...</td>\n",
646
+ " <td>...</td>\n",
647
+ " </tr>\n",
648
+ " <tr>\n",
649
+ " <th>1258735</th>\n",
650
+ " <td>857850</td>\n",
651
+ " <td>713</td>\n",
652
+ " <td>Cherry Hill</td>\n",
653
+ " <td>city</td>\n",
654
+ " <td>all homes plus multifamily</td>\n",
655
+ " <td>Camden County</td>\n",
656
+ " <td>NaN</td>\n",
657
+ " <td>NaN</td>\n",
658
+ " <td>NaN</td>\n",
659
+ " <td>2023-08-31</td>\n",
660
+ " <td>2291.604800</td>\n",
661
+ " <td>2244.961006</td>\n",
662
+ " <td>Cherry Hill</td>\n",
663
+ " <td>NaN</td>\n",
664
+ " </tr>\n",
665
+ " <tr>\n",
666
+ " <th>1258736</th>\n",
667
+ " <td>857850</td>\n",
668
+ " <td>713</td>\n",
669
+ " <td>Cherry Hill</td>\n",
670
+ " <td>city</td>\n",
671
+ " <td>all homes plus multifamily</td>\n",
672
+ " <td>Camden County</td>\n",
673
+ " <td>NaN</td>\n",
674
+ " <td>NaN</td>\n",
675
+ " <td>NaN</td>\n",
676
+ " <td>2023-09-30</td>\n",
677
+ " <td>2296.188906</td>\n",
678
+ " <td>2254.213172</td>\n",
679
+ " <td>Cherry Hill</td>\n",
680
+ " <td>NaN</td>\n",
681
+ " </tr>\n",
682
+ " <tr>\n",
683
+ " <th>1258737</th>\n",
684
+ " <td>857850</td>\n",
685
+ " <td>713</td>\n",
686
+ " <td>Cherry Hill</td>\n",
687
+ " <td>city</td>\n",
688
+ " <td>all homes plus multifamily</td>\n",
689
+ " <td>Camden County</td>\n",
690
+ " <td>NaN</td>\n",
691
+ " <td>NaN</td>\n",
692
+ " <td>NaN</td>\n",
693
+ " <td>2023-10-31</td>\n",
694
+ " <td>2292.270938</td>\n",
695
+ " <td>2261.540446</td>\n",
696
+ " <td>Cherry Hill</td>\n",
697
+ " <td>NaN</td>\n",
698
+ " </tr>\n",
699
+ " <tr>\n",
700
+ " <th>1258738</th>\n",
701
+ " <td>857850</td>\n",
702
+ " <td>713</td>\n",
703
+ " <td>Cherry Hill</td>\n",
704
+ " <td>city</td>\n",
705
+ " <td>all homes plus multifamily</td>\n",
706
+ " <td>Camden County</td>\n",
707
+ " <td>NaN</td>\n",
708
+ " <td>NaN</td>\n",
709
+ " <td>NaN</td>\n",
710
+ " <td>2023-11-30</td>\n",
711
+ " <td>2253.417140</td>\n",
712
+ " <td>2257.956024</td>\n",
713
+ " <td>Cherry Hill</td>\n",
714
+ " <td>NaN</td>\n",
715
+ " </tr>\n",
716
+ " <tr>\n",
717
+ " <th>1258739</th>\n",
718
+ " <td>857850</td>\n",
719
+ " <td>713</td>\n",
720
+ " <td>Cherry Hill</td>\n",
721
+ " <td>city</td>\n",
722
+ " <td>all homes plus multifamily</td>\n",
723
+ " <td>Camden County</td>\n",
724
+ " <td>NaN</td>\n",
725
+ " <td>NaN</td>\n",
726
+ " <td>NaN</td>\n",
727
+ " <td>2023-12-31</td>\n",
728
+ " <td>2280.830303</td>\n",
729
+ " <td>2280.830303</td>\n",
730
+ " <td>Cherry Hill</td>\n",
731
+ " <td>NaN</td>\n",
732
+ " </tr>\n",
733
+ " </tbody>\n",
734
+ "</table>\n",
735
+ "<p>1258740 rows × 14 columns</p>\n",
736
+ "</div>"
737
+ ],
738
+ "text/plain": [
739
+ " RegionID SizeRank RegionName RegionType \\\n",
740
+ "0 66 146 Ada County county \n",
741
+ "1 66 146 Ada County county \n",
742
+ "2 66 146 Ada County county \n",
743
+ "3 66 146 Ada County county \n",
744
+ "4 66 146 Ada County county \n",
745
+ "... ... ... ... ... \n",
746
+ "1258735 857850 713 Cherry Hill city \n",
747
+ "1258736 857850 713 Cherry Hill city \n",
748
+ "1258737 857850 713 Cherry Hill city \n",
749
+ "1258738 857850 713 Cherry Hill city \n",
750
+ "1258739 857850 713 Cherry Hill city \n",
751
+ "\n",
752
+ " Home Type State Metro \\\n",
753
+ "0 all homes plus multifamily Ada County Boise City, ID \n",
754
+ "1 all homes plus multifamily Ada County Boise City, ID \n",
755
+ "2 all homes plus multifamily Ada County Boise City, ID \n",
756
+ "3 all homes plus multifamily Ada County Boise City, ID \n",
757
+ "4 all homes plus multifamily Ada County Boise City, ID \n",
758
+ "... ... ... ... \n",
759
+ "1258735 all homes plus multifamily Camden County NaN \n",
760
+ "1258736 all homes plus multifamily Camden County NaN \n",
761
+ "1258737 all homes plus multifamily Camden County NaN \n",
762
+ "1258738 all homes plus multifamily Camden County NaN \n",
763
+ "1258739 all homes plus multifamily Camden County NaN \n",
764
+ "\n",
765
+ " StateCodeFIPS MunicipalCodeFIPS Date Rent (Smoothed) \\\n",
766
+ "0 16.0 1.0 2015-01-31 927.493763 \n",
767
+ "1 16.0 1.0 2015-02-28 931.690623 \n",
768
+ "2 16.0 1.0 2015-03-31 932.568601 \n",
769
+ "3 16.0 1.0 2015-04-30 933.148134 \n",
770
+ "4 16.0 1.0 2015-05-31 941.045724 \n",
771
+ "... ... ... ... ... \n",
772
+ "1258735 NaN NaN 2023-08-31 2291.604800 \n",
773
+ "1258736 NaN NaN 2023-09-30 2296.188906 \n",
774
+ "1258737 NaN NaN 2023-10-31 2292.270938 \n",
775
+ "1258738 NaN NaN 2023-11-30 2253.417140 \n",
776
+ "1258739 NaN NaN 2023-12-31 2280.830303 \n",
777
+ "\n",
778
+ " Rent (Smoothed) (Seasonally Adjusted) City County \n",
779
+ "0 927.493763 NaN Ada County \n",
780
+ "1 931.690623 NaN Ada County \n",
781
+ "2 932.568601 NaN Ada County \n",
782
+ "3 933.148134 NaN Ada County \n",
783
+ "4 941.045724 NaN Ada County \n",
784
+ "... ... ... ... \n",
785
+ "1258735 2244.961006 Cherry Hill NaN \n",
786
+ "1258736 2254.213172 Cherry Hill NaN \n",
787
+ "1258737 2261.540446 Cherry Hill NaN \n",
788
+ "1258738 2257.956024 Cherry Hill NaN \n",
789
+ "1258739 2280.830303 Cherry Hill NaN \n",
790
+ "\n",
791
+ "[1258740 rows x 14 columns]"
792
+ ]
793
+ },
794
+ "execution_count": 32,
795
+ "metadata": {},
796
+ "output_type": "execute_result"
797
+ }
798
+ ],
799
+ "source": [
800
+ "final_df = combined_df\n",
801
+ "\n",
802
+ "for index, row in final_df.iterrows():\n",
803
+ " if row[\"RegionType\"] == \"city\":\n",
804
+ " final_df.at[index, \"City\"] = row[\"RegionName\"]\n",
805
+ " elif row[\"RegionType\"] == \"county\":\n",
806
+ " final_df.at[index, \"County\"] = row[\"RegionName\"]\n",
807
+ "\n",
808
+ "# coalesce State and StateName columns\n",
809
+ "final_df[\"State\"] = final_df[\"State\"].combine_first(final_df[\"StateName\"])\n",
810
+ "final_df[\"State\"] = final_df[\"County\"].combine_first(final_df[\"CountyName\"])\n",
811
+ "\n",
812
+ "final_df = final_df.drop(columns=[\"StateName\", \"CountyName\"])\n",
813
+ "final_df"
814
+ ]
815
+ },
816
+ {
817
+ "cell_type": "code",
818
+ "execution_count": 33,
819
  "metadata": {},
820
  "outputs": [
821
  {
 
843
  " <th>Size Rank</th>\n",
844
  " <th>Region</th>\n",
845
  " <th>Region Type</th>\n",
 
846
  " <th>Home Type</th>\n",
847
+ " <th>State</th>\n",
848
+ " <th>Metro</th>\n",
849
+ " <th>State Code FIPS</th>\n",
850
+ " <th>Municipal Code FIPS</th>\n",
851
  " <th>Date</th>\n",
852
  " <th>Rent (Smoothed)</th>\n",
853
  " <th>Rent (Smoothed) (Seasonally Adjusted)</th>\n",
854
+ " <th>City</th>\n",
855
+ " <th>County</th>\n",
856
  " </tr>\n",
857
  " </thead>\n",
858
  " <tbody>\n",
859
  " <tr>\n",
860
  " <th>0</th>\n",
861
+ " <td>66</td>\n",
862
+ " <td>146</td>\n",
863
+ " <td>Ada County</td>\n",
864
+ " <td>county</td>\n",
865
+ " <td>all homes plus multifamily</td>\n",
866
+ " <td>Ada County</td>\n",
867
+ " <td>Boise City, ID</td>\n",
868
+ " <td>16.0</td>\n",
869
+ " <td>1.0</td>\n",
870
  " <td>2015-01-31</td>\n",
871
+ " <td>927.493763</td>\n",
872
+ " <td>927.493763</td>\n",
873
+ " <td>NaN</td>\n",
874
+ " <td>Ada County</td>\n",
875
  " </tr>\n",
876
  " <tr>\n",
877
+ " <th>1</th>\n",
878
+ " <td>66</td>\n",
879
+ " <td>146</td>\n",
880
+ " <td>Ada County</td>\n",
881
+ " <td>county</td>\n",
882
+ " <td>all homes plus multifamily</td>\n",
883
+ " <td>Ada County</td>\n",
884
+ " <td>Boise City, ID</td>\n",
885
+ " <td>16.0</td>\n",
886
+ " <td>1.0</td>\n",
887
+ " <td>2015-02-28</td>\n",
888
+ " <td>931.690623</td>\n",
889
+ " <td>931.690623</td>\n",
890
  " <td>NaN</td>\n",
891
+ " <td>Ada County</td>\n",
 
 
 
892
  " </tr>\n",
893
  " <tr>\n",
894
+ " <th>2</th>\n",
895
+ " <td>66</td>\n",
896
+ " <td>146</td>\n",
897
+ " <td>Ada County</td>\n",
898
+ " <td>county</td>\n",
899
+ " <td>all homes plus multifamily</td>\n",
900
+ " <td>Ada County</td>\n",
901
+ " <td>Boise City, ID</td>\n",
902
+ " <td>16.0</td>\n",
903
+ " <td>1.0</td>\n",
904
+ " <td>2015-03-31</td>\n",
905
+ " <td>932.568601</td>\n",
906
+ " <td>932.568601</td>\n",
907
  " <td>NaN</td>\n",
908
+ " <td>Ada County</td>\n",
 
 
 
909
  " </tr>\n",
910
  " <tr>\n",
911
+ " <th>3</th>\n",
912
+ " <td>66</td>\n",
913
+ " <td>146</td>\n",
914
+ " <td>Ada County</td>\n",
915
+ " <td>county</td>\n",
916
+ " <td>all homes plus multifamily</td>\n",
917
+ " <td>Ada County</td>\n",
918
+ " <td>Boise City, ID</td>\n",
919
+ " <td>16.0</td>\n",
920
+ " <td>1.0</td>\n",
921
+ " <td>2015-04-30</td>\n",
922
+ " <td>933.148134</td>\n",
923
+ " <td>933.148134</td>\n",
924
  " <td>NaN</td>\n",
925
+ " <td>Ada County</td>\n",
 
 
 
926
  " </tr>\n",
927
  " <tr>\n",
928
+ " <th>4</th>\n",
929
+ " <td>66</td>\n",
930
+ " <td>146</td>\n",
931
+ " <td>Ada County</td>\n",
932
+ " <td>county</td>\n",
933
+ " <td>all homes plus multifamily</td>\n",
934
+ " <td>Ada County</td>\n",
935
+ " <td>Boise City, ID</td>\n",
936
+ " <td>16.0</td>\n",
937
+ " <td>1.0</td>\n",
938
+ " <td>2015-05-31</td>\n",
939
+ " <td>941.045724</td>\n",
940
+ " <td>941.045724</td>\n",
941
  " <td>NaN</td>\n",
942
+ " <td>Ada County</td>\n",
 
 
 
943
  " </tr>\n",
944
  " <tr>\n",
945
  " <th>...</th>\n",
 
952
  " <td>...</td>\n",
953
  " <td>...</td>\n",
954
  " <td>...</td>\n",
955
+ " <td>...</td>\n",
956
+ " <td>...</td>\n",
957
+ " <td>...</td>\n",
958
+ " <td>...</td>\n",
959
+ " <td>...</td>\n",
960
  " </tr>\n",
961
  " <tr>\n",
962
+ " <th>1258735</th>\n",
963
+ " <td>857850</td>\n",
964
+ " <td>713</td>\n",
965
+ " <td>Cherry Hill</td>\n",
966
+ " <td>city</td>\n",
967
+ " <td>all homes plus multifamily</td>\n",
968
+ " <td>Camden County</td>\n",
969
+ " <td>NaN</td>\n",
970
+ " <td>NaN</td>\n",
971
  " <td>NaN</td>\n",
972
+ " <td>2023-08-31</td>\n",
973
+ " <td>2291.604800</td>\n",
974
+ " <td>2244.961006</td>\n",
975
+ " <td>Cherry Hill</td>\n",
976
  " <td>NaN</td>\n",
977
  " </tr>\n",
978
  " <tr>\n",
979
+ " <th>1258736</th>\n",
980
+ " <td>857850</td>\n",
981
+ " <td>713</td>\n",
982
+ " <td>Cherry Hill</td>\n",
983
+ " <td>city</td>\n",
984
+ " <td>all homes plus multifamily</td>\n",
985
+ " <td>Camden County</td>\n",
 
986
  " <td>NaN</td>\n",
987
  " <td>NaN</td>\n",
988
+ " <td>NaN</td>\n",
989
+ " <td>2023-09-30</td>\n",
990
+ " <td>2296.188906</td>\n",
991
+ " <td>2254.213172</td>\n",
992
+ " <td>Cherry Hill</td>\n",
993
+ " <td>NaN</td>\n",
994
  " </tr>\n",
995
  " <tr>\n",
996
+ " <th>1258737</th>\n",
997
+ " <td>857850</td>\n",
998
+ " <td>713</td>\n",
999
+ " <td>Cherry Hill</td>\n",
1000
+ " <td>city</td>\n",
1001
+ " <td>all homes plus multifamily</td>\n",
1002
+ " <td>Camden County</td>\n",
1003
+ " <td>NaN</td>\n",
1004
+ " <td>NaN</td>\n",
1005
  " <td>NaN</td>\n",
1006
+ " <td>2023-10-31</td>\n",
1007
+ " <td>2292.270938</td>\n",
1008
+ " <td>2261.540446</td>\n",
1009
+ " <td>Cherry Hill</td>\n",
1010
  " <td>NaN</td>\n",
1011
  " </tr>\n",
1012
  " <tr>\n",
1013
+ " <th>1258738</th>\n",
1014
+ " <td>857850</td>\n",
1015
+ " <td>713</td>\n",
1016
+ " <td>Cherry Hill</td>\n",
1017
+ " <td>city</td>\n",
1018
+ " <td>all homes plus multifamily</td>\n",
1019
+ " <td>Camden County</td>\n",
1020
+ " <td>NaN</td>\n",
1021
+ " <td>NaN</td>\n",
1022
+ " <td>NaN</td>\n",
1023
  " <td>2023-11-30</td>\n",
1024
+ " <td>2253.417140</td>\n",
1025
+ " <td>2257.956024</td>\n",
1026
+ " <td>Cherry Hill</td>\n",
1027
+ " <td>NaN</td>\n",
1028
  " </tr>\n",
1029
  " <tr>\n",
1030
+ " <th>1258739</th>\n",
1031
+ " <td>857850</td>\n",
1032
+ " <td>713</td>\n",
1033
+ " <td>Cherry Hill</td>\n",
1034
+ " <td>city</td>\n",
1035
+ " <td>all homes plus multifamily</td>\n",
1036
+ " <td>Camden County</td>\n",
1037
+ " <td>NaN</td>\n",
1038
+ " <td>NaN</td>\n",
1039
+ " <td>NaN</td>\n",
1040
  " <td>2023-12-31</td>\n",
1041
+ " <td>2280.830303</td>\n",
1042
+ " <td>2280.830303</td>\n",
1043
+ " <td>Cherry Hill</td>\n",
1044
+ " <td>NaN</td>\n",
1045
  " </tr>\n",
1046
  " </tbody>\n",
1047
  "</table>\n",
1048
+ "<p>1258740 rows × 14 columns</p>\n",
1049
  "</div>"
1050
  ],
1051
  "text/plain": [
1052
+ " Region ID Size Rank Region Region Type \\\n",
1053
+ "0 66 146 Ada County county \n",
1054
+ "1 66 146 Ada County county \n",
1055
+ "2 66 146 Ada County county \n",
1056
+ "3 66 146 Ada County county \n",
1057
+ "4 66 146 Ada County county \n",
1058
+ "... ... ... ... ... \n",
1059
+ "1258735 857850 713 Cherry Hill city \n",
1060
+ "1258736 857850 713 Cherry Hill city \n",
1061
+ "1258737 857850 713 Cherry Hill city \n",
1062
+ "1258738 857850 713 Cherry Hill city \n",
1063
+ "1258739 857850 713 Cherry Hill city \n",
1064
+ "\n",
1065
+ " Home Type State Metro \\\n",
1066
+ "0 all homes plus multifamily Ada County Boise City, ID \n",
1067
+ "1 all homes plus multifamily Ada County Boise City, ID \n",
1068
+ "2 all homes plus multifamily Ada County Boise City, ID \n",
1069
+ "3 all homes plus multifamily Ada County Boise City, ID \n",
1070
+ "4 all homes plus multifamily Ada County Boise City, ID \n",
1071
+ "... ... ... ... \n",
1072
+ "1258735 all homes plus multifamily Camden County NaN \n",
1073
+ "1258736 all homes plus multifamily Camden County NaN \n",
1074
+ "1258737 all homes plus multifamily Camden County NaN \n",
1075
+ "1258738 all homes plus multifamily Camden County NaN \n",
1076
+ "1258739 all homes plus multifamily Camden County NaN \n",
1077
  "\n",
1078
+ " State Code FIPS Municipal Code FIPS Date Rent (Smoothed) \\\n",
1079
+ "0 16.0 1.0 2015-01-31 927.493763 \n",
1080
+ "1 16.0 1.0 2015-02-28 931.690623 \n",
1081
+ "2 16.0 1.0 2015-03-31 932.568601 \n",
1082
+ "3 16.0 1.0 2015-04-30 933.148134 \n",
1083
+ "4 16.0 1.0 2015-05-31 941.045724 \n",
1084
+ "... ... ... ... ... \n",
1085
+ "1258735 NaN NaN 2023-08-31 2291.604800 \n",
1086
+ "1258736 NaN NaN 2023-09-30 2296.188906 \n",
1087
+ "1258737 NaN NaN 2023-10-31 2292.270938 \n",
1088
+ "1258738 NaN NaN 2023-11-30 2253.417140 \n",
1089
+ "1258739 NaN NaN 2023-12-31 2280.830303 \n",
1090
  "\n",
1091
+ " Rent (Smoothed) (Seasonally Adjusted) City County \n",
1092
+ "0 927.493763 NaN Ada County \n",
1093
+ "1 931.690623 NaN Ada County \n",
1094
+ "2 932.568601 NaN Ada County \n",
1095
+ "3 933.148134 NaN Ada County \n",
1096
+ "4 941.045724 NaN Ada County \n",
1097
+ "... ... ... ... \n",
1098
+ "1258735 2244.961006 Cherry Hill NaN \n",
1099
+ "1258736 2254.213172 Cherry Hill NaN \n",
1100
+ "1258737 2261.540446 Cherry Hill NaN \n",
1101
+ "1258738 2257.956024 Cherry Hill NaN \n",
1102
+ "1258739 2280.830303 Cherry Hill NaN \n",
1103
+ "\n",
1104
+ "[1258740 rows x 14 columns]"
1105
  ]
1106
  },
1107
+ "execution_count": 33,
1108
  "metadata": {},
1109
  "output_type": "execute_result"
1110
  }
1111
  ],
1112
  "source": [
 
1113
  "final_df = final_df.rename(\n",
1114
  " columns={\n",
1115
  " \"RegionID\": \"Region ID\",\n",
1116
  " \"SizeRank\": \"Size Rank\",\n",
1117
  " \"RegionName\": \"Region\",\n",
1118
  " \"RegionType\": \"Region Type\",\n",
1119
+ " \"StateCodeFIPS\": \"State Code FIPS\",\n",
1120
+ " \"MunicipalCodeFIPS\": \"Municipal Code FIPS\",\n",
1121
  " }\n",
1122
  ")\n",
1123
  "\n",
1124
+ "final_df"
 
1125
  ]
1126
  },
1127
  {
1128
  "cell_type": "code",
1129
+ "execution_count": 35,
1130
  "metadata": {},
1131
  "outputs": [],
1132
  "source": [