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Datasets:
misikoff
/
zillow

Tasks:
Tabular Regression
Time Series Forecasting
Languages:
English
License:
Dataset card Files Community
misikoff commited on
Commit
9e59b6e
•
1 Parent(s): b4bf4a4

fix: treat date as date

Browse files
Files changed (4) hide show
  1. .gitignore +3 -1
  2. processed/sales/final5.jsonl +2 -2
  3. processors/sales.ipynb +362 -411
  4. zillow.py +1 -1
.gitignore CHANGED
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processed/sales/final5.jsonl CHANGED
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processors/sales.ipynb CHANGED
@@ -96,17 +96,16 @@
96
  " <th>StateName</th>\n",
97
  " <th>Home Type</th>\n",
98
  " <th>Date</th>\n",
99
- " <th>Mean Sale to List Ratio (Smoothed)</th>\n",
100
  " <th>Median Sale to List Ratio</th>\n",
101
  " <th>Median Sale Price</th>\n",
102
- " <th>% Sold Below List (Smoothed)</th>\n",
103
  " <th>Median Sale Price (Smoothed) (Seasonally Adjusted)</th>\n",
104
- " <th>% Sold Below List</th>\n",
105
  " <th>Median Sale Price (Smoothed)</th>\n",
 
106
  " <th>Median Sale to List Ratio (Smoothed)</th>\n",
107
  " <th>% Sold Above List</th>\n",
108
- " <th>Nowcast</th>\n",
109
  " <th>Mean Sale to List Ratio</th>\n",
 
110
  " <th>% Sold Above List (Smoothed)</th>\n",
111
  " </tr>\n",
112
  " </thead>\n",
@@ -121,7 +120,6 @@
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  " <td>SFR</td>\n",
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  " <td>2008-02-02</td>\n",
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  " <td>NaN</td>\n",
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- " <td>NaN</td>\n",
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  " <td>172000.0</td>\n",
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  " <td>NaN</td>\n",
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  " <td>NaN</td>\n",
@@ -143,7 +141,6 @@
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  " <td>NaN</td>\n",
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- " <td>NaN</td>\n",
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  " <td>165400.0</td>\n",
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  " <td>NaN</td>\n",
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  " <td>NaN</td>\n",
@@ -165,7 +162,6 @@
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@@ -187,12 +183,11 @@
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@@ -207,12 +202,11 @@
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  " <td>country</td>\n",
208
  " <td>NaN</td>\n",
209
  " <td>SFR</td>\n",
210
- " <td>2008-02-29</td>\n",
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- " <td>NaN</td>\n",
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- " <td>NaN</td>\n",
213
- " <td>NaN</td>\n",
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  " <td>NaN</td>\n",
 
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  " <td>NaN</td>\n",
 
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@@ -241,229 +235,210 @@
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- " <td>Ottawa, IL</td>\n",
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  " <td>msa</td>\n",
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  " <td>all homes</td>\n",
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  " <td>msa</td>\n",
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- " <td>Ottawa, IL</td>\n",
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  " <td>msa</td>\n",
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  " <td>all homes</td>\n",
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  " <td>msa</td>\n",
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  " <td>all homes</td>\n",
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  " </tr>\n",
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  " </tbody>\n",
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  "</table>\n",
358
- "<p>504608 rows × 19 columns</p>\n",
359
  "</div>"
360
  ],
361
  "text/plain": [
362
- " RegionID SizeRank RegionName RegionType StateName Home Type \\\n",
363
- "0 102001 0 United States country NaN SFR \n",
364
- "1 102001 0 United States country NaN SFR \n",
365
- "2 102001 0 United States country NaN SFR \n",
366
- "3 102001 0 United States country NaN SFR \n",
367
- "4 102001 0 United States country NaN SFR \n",
368
- "... ... ... ... ... ... ... \n",
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- "504603 845167 296 Ottawa, IL msa IL all homes \n",
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372
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- "504607 845167 296 Ottawa, IL msa IL all homes \n",
374
- "\n",
375
- " Date Mean Sale to List Ratio (Smoothed) \\\n",
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- "0 2008-02-02 NaN \n",
377
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378
- "2 2008-02-16 NaN \n",
379
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380
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381
- "... ... ... \n",
382
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383
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384
- "504605 2023-09-30 0.968028 \n",
385
- "504606 2023-10-31 0.962485 \n",
386
- "504607 2023-11-30 0.967126 \n",
387
  "\n",
388
- " Median Sale to List Ratio Median Sale Price \\\n",
389
- "0 NaN 172000.0 \n",
390
- "1 NaN 165400.0 \n",
391
- "2 NaN 168000.0 \n",
392
- "3 NaN 165000.0 \n",
393
- "4 NaN NaN \n",
394
- "... ... ... \n",
395
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396
- "504604 NaN NaN \n",
397
- "504605 NaN NaN \n",
398
- "504606 NaN NaN \n",
399
- "504607 NaN NaN \n",
400
  "\n",
401
- " % Sold Below List (Smoothed) \\\n",
402
- "0 NaN \n",
403
- "1 NaN \n",
404
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405
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406
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407
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408
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409
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410
- "504605 0.531140 \n",
411
- "504606 0.558836 \n",
412
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413
  "\n",
414
- " Median Sale Price (Smoothed) (Seasonally Adjusted) % Sold Below List \\\n",
415
- "0 NaN NaN \n",
416
- "1 NaN NaN \n",
417
- "2 NaN NaN \n",
418
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419
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420
- "... ... ... \n",
421
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422
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423
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424
- "504606 131159.0 0.574468 \n",
425
- "504607 129291.0 0.543210 \n",
426
  "\n",
427
- " Median Sale Price (Smoothed) Median Sale to List Ratio (Smoothed) \\\n",
428
- "0 NaN NaN \n",
429
- "1 NaN NaN \n",
430
- "2 NaN NaN \n",
431
- "3 167600.0 NaN \n",
432
- "4 NaN NaN \n",
433
- "... ... ... \n",
434
- "504603 133500.0 0.985172 \n",
435
- "504604 131833.0 0.987383 \n",
436
- "504605 132333.0 0.991072 \n",
437
- "504606 134667.0 0.985657 \n",
438
- "504607 131000.0 0.990886 \n",
439
  "\n",
440
- " % Sold Above List Nowcast Mean Sale to List Ratio \\\n",
441
- "0 NaN NaN NaN \n",
442
- "1 NaN NaN NaN \n",
443
- "2 NaN NaN NaN \n",
444
- "3 NaN NaN NaN \n",
445
- "4 NaN NaN NaN \n",
446
- "... ... ... ... \n",
447
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448
- "504604 0.294778 NaN 0.959261 \n",
449
- "504605 0.285128 NaN 0.965595 \n",
450
- "504606 0.272350 NaN 0.962599 \n",
451
- "504607 0.280538 NaN 0.973184 \n",
452
  "\n",
453
- " % Sold Above List (Smoothed) \n",
454
- "0 NaN \n",
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- "1 NaN \n",
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462
- "504605 0.285128 \n",
463
- "504606 0.272350 \n",
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- "504607 0.280538 \n",
465
  "\n",
466
- "[504608 rows x 19 columns]"
467
  ]
468
  },
469
  "execution_count": 3,
@@ -529,7 +504,7 @@
529
  },
530
  {
531
  "cell_type": "code",
532
- "execution_count": 4,
533
  "metadata": {},
534
  "outputs": [
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  {
@@ -560,17 +535,16 @@
560
  " <th>State</th>\n",
561
  " <th>Home Type</th>\n",
562
  " <th>Date</th>\n",
563
- " <th>Mean Sale to List Ratio (Smoothed)</th>\n",
564
  " <th>Median Sale to List Ratio</th>\n",
565
  " <th>Median Sale Price</th>\n",
566
- " <th>% Sold Below List (Smoothed)</th>\n",
567
  " <th>Median Sale Price (Smoothed) (Seasonally Adjusted)</th>\n",
568
- " <th>% Sold Below List</th>\n",
569
  " <th>Median Sale Price (Smoothed)</th>\n",
 
570
  " <th>Median Sale to List Ratio (Smoothed)</th>\n",
571
  " <th>% Sold Above List</th>\n",
572
- " <th>Nowcast</th>\n",
573
  " <th>Mean Sale to List Ratio</th>\n",
 
574
  " <th>% Sold Above List (Smoothed)</th>\n",
575
  " </tr>\n",
576
  " </thead>\n",
@@ -585,7 +559,6 @@
585
  " <td>SFR</td>\n",
586
  " <td>2008-02-02</td>\n",
587
  " <td>NaN</td>\n",
588
- " <td>NaN</td>\n",
589
  " <td>172000.0</td>\n",
590
  " <td>NaN</td>\n",
591
  " <td>NaN</td>\n",
@@ -607,7 +580,6 @@
607
  " <td>SFR</td>\n",
608
  " <td>2008-02-09</td>\n",
609
  " <td>NaN</td>\n",
610
- " <td>NaN</td>\n",
611
  " <td>165400.0</td>\n",
612
  " <td>NaN</td>\n",
613
  " <td>NaN</td>\n",
@@ -629,7 +601,6 @@
629
  " <td>SFR</td>\n",
630
  " <td>2008-02-16</td>\n",
631
  " <td>NaN</td>\n",
632
- " <td>NaN</td>\n",
633
  " <td>168000.0</td>\n",
634
  " <td>NaN</td>\n",
635
  " <td>NaN</td>\n",
@@ -651,12 +622,11 @@
651
  " <td>SFR</td>\n",
652
  " <td>2008-02-23</td>\n",
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  " <td>NaN</td>\n",
 
654
  " <td>NaN</td>\n",
655
- " <td>165000.0</td>\n",
656
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657
  " <td>NaN</td>\n",
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  " <td>NaN</td>\n",
659
- " <td>167600.0</td>\n",
660
  " <td>NaN</td>\n",
661
  " <td>NaN</td>\n",
662
  " <td>NaN</td>\n",
@@ -671,12 +641,11 @@
671
  " <td>country</td>\n",
672
  " <td>NaN</td>\n",
673
  " <td>SFR</td>\n",
674
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675
- " <td>NaN</td>\n",
676
- " <td>NaN</td>\n",
677
- " <td>NaN</td>\n",
678
  " <td>NaN</td>\n",
 
679
  " <td>NaN</td>\n",
 
680
  " <td>NaN</td>\n",
681
  " <td>NaN</td>\n",
682
  " <td>NaN</td>\n",
@@ -705,232 +674,213 @@
705
  " <td>...</td>\n",
706
  " <td>...</td>\n",
707
  " <td>...</td>\n",
708
- " <td>...</td>\n",
709
  " </tr>\n",
710
  " <tr>\n",
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- " <th>504603</th>\n",
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- " <td>845167</td>\n",
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- " <td>Ottawa, IL</td>\n",
715
  " <td>msa</td>\n",
716
- " <td>IL</td>\n",
717
  " <td>all homes</td>\n",
718
- " <td>2023-07-31</td>\n",
719
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720
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731
  " </tr>\n",
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  " <tr>\n",
733
- " <th>504604</th>\n",
734
- " <td>845167</td>\n",
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736
- " <td>Ottawa, IL</td>\n",
737
  " <td>msa</td>\n",
738
- " <td>IL</td>\n",
739
  " <td>all homes</td>\n",
740
- " <td>2023-08-31</td>\n",
741
- " <td>0.971893</td>\n",
742
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751
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- " <td>0.294778</td>\n",
753
  " </tr>\n",
754
  " <tr>\n",
755
- " <th>504605</th>\n",
756
- " <td>845167</td>\n",
757
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758
- " <td>Ottawa, IL</td>\n",
759
  " <td>msa</td>\n",
760
- " <td>IL</td>\n",
761
  " <td>all homes</td>\n",
762
- " <td>2023-09-30</td>\n",
763
- " <td>0.968028</td>\n",
764
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765
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774
- " <td>0.285128</td>\n",
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  " </tr>\n",
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  " <tr>\n",
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- " <th>504606</th>\n",
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- " <td>845167</td>\n",
779
- " <td>296</td>\n",
780
- " <td>Ottawa, IL</td>\n",
781
  " <td>msa</td>\n",
782
- " <td>IL</td>\n",
783
  " <td>all homes</td>\n",
784
- " <td>2023-10-31</td>\n",
785
- " <td>0.962485</td>\n",
786
- " <td>NaN</td>\n",
787
- " <td>NaN</td>\n",
788
- " <td>0.558836</td>\n",
789
- " <td>131159.0</td>\n",
790
- " <td>0.574468</td>\n",
791
- " <td>134667.0</td>\n",
792
- " <td>0.985657</td>\n",
793
- " <td>0.272350</td>\n",
794
- " <td>NaN</td>\n",
795
- " <td>0.962599</td>\n",
796
- " <td>0.272350</td>\n",
797
  " </tr>\n",
798
  " <tr>\n",
799
- " <th>504607</th>\n",
800
- " <td>845167</td>\n",
801
- " <td>296</td>\n",
802
- " <td>Ottawa, IL</td>\n",
803
  " <td>msa</td>\n",
804
- " <td>IL</td>\n",
805
  " <td>all homes</td>\n",
806
- " <td>2023-11-30</td>\n",
807
- " <td>0.967126</td>\n",
808
- " <td>NaN</td>\n",
809
- " <td>NaN</td>\n",
810
- " <td>0.539226</td>\n",
811
- " <td>129291.0</td>\n",
812
- " <td>0.543210</td>\n",
813
- " <td>131000.0</td>\n",
814
- " <td>0.990886</td>\n",
815
- " <td>0.280538</td>\n",
816
- " <td>NaN</td>\n",
817
- " <td>0.973184</td>\n",
818
- " <td>0.280538</td>\n",
819
  " </tr>\n",
820
  " </tbody>\n",
821
  "</table>\n",
822
- "<p>504608 rows × 19 columns</p>\n",
823
  "</div>"
824
  ],
825
  "text/plain": [
826
- " Region ID Size Rank Region Region Type State Home Type \\\n",
827
- "0 102001 0 United States country NaN SFR \n",
828
- "1 102001 0 United States country NaN SFR \n",
829
- "2 102001 0 United States country NaN SFR \n",
830
- "3 102001 0 United States country NaN SFR \n",
831
- "4 102001 0 United States country NaN SFR \n",
832
- "... ... ... ... ... ... ... \n",
833
- "504603 845167 296 Ottawa, IL msa IL all homes \n",
834
- "504604 845167 296 Ottawa, IL msa IL all homes \n",
835
- "504605 845167 296 Ottawa, IL msa IL all homes \n",
836
- "504606 845167 296 Ottawa, IL msa IL all homes \n",
837
- "504607 845167 296 Ottawa, IL msa IL all homes \n",
838
- "\n",
839
- " Date Mean Sale to List Ratio (Smoothed) \\\n",
840
- "0 2008-02-02 NaN \n",
841
- "1 2008-02-09 NaN \n",
842
- "2 2008-02-16 NaN \n",
843
- "3 2008-02-23 NaN \n",
844
- "4 2008-02-29 NaN \n",
845
- "... ... ... \n",
846
- "504603 2023-07-31 0.976219 \n",
847
- "504604 2023-08-31 0.971893 \n",
848
- "504605 2023-09-30 0.968028 \n",
849
- "504606 2023-10-31 0.962485 \n",
850
- "504607 2023-11-30 0.967126 \n",
851
  "\n",
852
- " Median Sale to List Ratio Median Sale Price \\\n",
853
- "0 NaN 172000.0 \n",
854
- "1 NaN 165400.0 \n",
855
- "2 NaN 168000.0 \n",
856
- "3 NaN 165000.0 \n",
857
- "4 NaN NaN \n",
858
- "... ... ... \n",
859
- "504603 NaN NaN \n",
860
- "504604 NaN NaN \n",
861
- "504605 NaN NaN \n",
862
- "504606 NaN NaN \n",
863
- "504607 NaN NaN \n",
864
  "\n",
865
- " % Sold Below List (Smoothed) \\\n",
866
- "0 NaN \n",
867
- "1 NaN \n",
868
- "2 NaN \n",
869
- "3 NaN \n",
870
- "4 NaN \n",
871
- "... ... \n",
872
- "504603 0.554969 \n",
873
- "504604 0.541090 \n",
874
- "504605 0.531140 \n",
875
- "504606 0.558836 \n",
876
- "504607 0.539226 \n",
877
  "\n",
878
- " Median Sale Price (Smoothed) (Seasonally Adjusted) % Sold Below List \\\n",
879
- "0 NaN NaN \n",
880
- "1 NaN NaN \n",
881
- "2 NaN NaN \n",
882
- "3 NaN NaN \n",
883
- "4 NaN NaN \n",
884
- "... ... ... \n",
885
- "504603 127574.0 0.491379 \n",
886
- "504604 125089.0 0.602041 \n",
887
- "504605 127199.0 0.500000 \n",
888
- "504606 131159.0 0.574468 \n",
889
- "504607 129291.0 0.543210 \n",
890
  "\n",
891
- " Median Sale Price (Smoothed) Median Sale to List Ratio (Smoothed) \\\n",
892
- "0 NaN NaN \n",
893
- "1 NaN NaN \n",
894
- "2 NaN NaN \n",
895
- "3 167600.0 NaN \n",
896
- "4 NaN NaN \n",
897
- "... ... ... \n",
898
- "504603 133500.0 0.985172 \n",
899
- "504604 131833.0 0.987383 \n",
900
- "504605 132333.0 0.991072 \n",
901
- "504606 134667.0 0.985657 \n",
902
- "504607 131000.0 0.990886 \n",
903
  "\n",
904
- " % Sold Above List Nowcast Mean Sale to List Ratio \\\n",
905
- "0 NaN NaN NaN \n",
906
- "1 NaN NaN NaN \n",
907
- "2 NaN NaN NaN \n",
908
- "3 NaN NaN NaN \n",
909
- "4 NaN NaN NaN \n",
910
- "... ... ... ... \n",
911
- "504603 0.312332 NaN 0.979227 \n",
912
- "504604 0.294778 NaN 0.959261 \n",
913
- "504605 0.285128 NaN 0.965595 \n",
914
- "504606 0.272350 NaN 0.962599 \n",
915
- "504607 0.280538 NaN 0.973184 \n",
916
  "\n",
917
- " % Sold Above List (Smoothed) \n",
918
- "0 NaN \n",
919
- "1 NaN \n",
920
- "2 NaN \n",
921
- "3 NaN \n",
922
- "4 NaN \n",
923
- "... ... \n",
924
- "504603 0.312332 \n",
925
- "504604 0.294778 \n",
926
- "504605 0.285128 \n",
927
- "504606 0.272350 \n",
928
- "504607 0.280538 \n",
929
  "\n",
930
- "[504608 rows x 19 columns]"
931
  ]
932
  },
933
- "execution_count": 4,
934
  "metadata": {},
935
  "output_type": "execute_result"
936
  }
@@ -947,12 +897,13 @@
947
  " }\n",
948
  ")\n",
949
  "\n",
 
950
  "final_df.sort_values(by=[\"Region ID\", \"Home Type\", \"Date\"])"
951
  ]
952
  },
953
  {
954
  "cell_type": "code",
955
- "execution_count": 5,
956
  "metadata": {},
957
  "outputs": [],
958
  "source": [
 
96
  " <th>StateName</th>\n",
97
  " <th>Home Type</th>\n",
98
  " <th>Date</th>\n",
 
99
  " <th>Median Sale to List Ratio</th>\n",
100
  " <th>Median Sale Price</th>\n",
 
101
  " <th>Median Sale Price (Smoothed) (Seasonally Adjusted)</th>\n",
 
102
  " <th>Median Sale Price (Smoothed)</th>\n",
103
+ " <th>% Sold Below List (Smoothed)</th>\n",
104
  " <th>Median Sale to List Ratio (Smoothed)</th>\n",
105
  " <th>% Sold Above List</th>\n",
106
+ " <th>Mean Sale to List Ratio (Smoothed)</th>\n",
107
  " <th>Mean Sale to List Ratio</th>\n",
108
+ " <th>% Sold Below List</th>\n",
109
  " <th>% Sold Above List (Smoothed)</th>\n",
110
  " </tr>\n",
111
  " </thead>\n",
 
120
  " <td>SFR</td>\n",
121
  " <td>2008-02-02</td>\n",
122
  " <td>NaN</td>\n",
 
123
  " <td>172000.0</td>\n",
124
  " <td>NaN</td>\n",
125
  " <td>NaN</td>\n",
 
141
  " <td>SFR</td>\n",
142
  " <td>2008-02-09</td>\n",
143
  " <td>NaN</td>\n",
 
144
  " <td>165400.0</td>\n",
145
  " <td>NaN</td>\n",
146
  " <td>NaN</td>\n",
 
162
  " <td>SFR</td>\n",
163
  " <td>2008-02-16</td>\n",
164
  " <td>NaN</td>\n",
 
165
  " <td>168000.0</td>\n",
166
  " <td>NaN</td>\n",
167
  " <td>NaN</td>\n",
 
183
  " <td>SFR</td>\n",
184
  " <td>2008-02-23</td>\n",
185
  " <td>NaN</td>\n",
186
+ " <td>167600.0</td>\n",
187
  " <td>NaN</td>\n",
188
+ " <td>167600.0</td>\n",
 
189
  " <td>NaN</td>\n",
190
  " <td>NaN</td>\n",
 
191
  " <td>NaN</td>\n",
192
  " <td>NaN</td>\n",
193
  " <td>NaN</td>\n",
 
202
  " <td>country</td>\n",
203
  " <td>NaN</td>\n",
204
  " <td>SFR</td>\n",
205
+ " <td>2008-03-01</td>\n",
 
 
 
206
  " <td>NaN</td>\n",
207
+ " <td>168100.0</td>\n",
208
  " <td>NaN</td>\n",
209
+ " <td>168100.0</td>\n",
210
  " <td>NaN</td>\n",
211
  " <td>NaN</td>\n",
212
  " <td>NaN</td>\n",
 
235
  " <td>...</td>\n",
236
  " <td>...</td>\n",
237
  " <td>...</td>\n",
 
238
  " </tr>\n",
239
  " <tr>\n",
240
+ " <th>255019</th>\n",
241
+ " <td>845160</td>\n",
242
+ " <td>198</td>\n",
243
+ " <td>Prescott Valley, AZ</td>\n",
244
  " <td>msa</td>\n",
245
+ " <td>AZ</td>\n",
246
  " <td>all homes</td>\n",
247
+ " <td>2023-11-11</td>\n",
248
+ " <td>0.985132</td>\n",
249
+ " <td>515000.0</td>\n",
250
+ " <td>480020.0</td>\n",
251
+ " <td>480020.0</td>\n",
252
+ " <td>0.651221</td>\n",
253
+ " <td>0.982460</td>\n",
254
+ " <td>0.080000</td>\n",
255
+ " <td>0.978546</td>\n",
256
+ " <td>0.983288</td>\n",
257
+ " <td>0.680000</td>\n",
258
+ " <td>0.119711</td>\n",
 
259
  " </tr>\n",
260
  " <tr>\n",
261
+ " <th>255020</th>\n",
262
+ " <td>845160</td>\n",
263
+ " <td>198</td>\n",
264
+ " <td>Prescott Valley, AZ</td>\n",
265
  " <td>msa</td>\n",
266
+ " <td>AZ</td>\n",
267
  " <td>all homes</td>\n",
268
+ " <td>2023-11-18</td>\n",
269
+ " <td>0.972559</td>\n",
270
+ " <td>510000.0</td>\n",
271
+ " <td>476901.0</td>\n",
272
+ " <td>476901.0</td>\n",
273
+ " <td>0.659583</td>\n",
274
+ " <td>0.980362</td>\n",
275
+ " <td>0.142857</td>\n",
276
+ " <td>0.972912</td>\n",
277
+ " <td>0.958341</td>\n",
278
+ " <td>0.625000</td>\n",
279
+ " <td>0.120214</td>\n",
 
280
  " </tr>\n",
281
  " <tr>\n",
282
+ " <th>255021</th>\n",
283
+ " <td>845160</td>\n",
284
+ " <td>198</td>\n",
285
+ " <td>Prescott Valley, AZ</td>\n",
286
  " <td>msa</td>\n",
287
+ " <td>AZ</td>\n",
288
  " <td>all homes</td>\n",
289
+ " <td>2023-11-25</td>\n",
290
+ " <td>0.979644</td>\n",
291
+ " <td>484500.0</td>\n",
292
+ " <td>496540.0</td>\n",
293
+ " <td>496540.0</td>\n",
294
+ " <td>0.669387</td>\n",
295
+ " <td>0.979179</td>\n",
296
+ " <td>0.088235</td>\n",
297
+ " <td>0.971177</td>\n",
298
+ " <td>0.973797</td>\n",
299
+ " <td>0.705882</td>\n",
300
+ " <td>0.107185</td>\n",
 
301
  " </tr>\n",
302
  " <tr>\n",
303
+ " <th>255022</th>\n",
304
+ " <td>845160</td>\n",
305
+ " <td>198</td>\n",
306
+ " <td>Prescott Valley, AZ</td>\n",
307
  " <td>msa</td>\n",
308
+ " <td>AZ</td>\n",
309
  " <td>all homes</td>\n",
310
+ " <td>2023-12-02</td>\n",
311
+ " <td>0.978261</td>\n",
312
+ " <td>538000.0</td>\n",
313
+ " <td>510491.0</td>\n",
314
+ " <td>510491.0</td>\n",
315
+ " <td>0.678777</td>\n",
316
+ " <td>0.978899</td>\n",
317
+ " <td>0.126761</td>\n",
318
+ " <td>0.970576</td>\n",
319
+ " <td>0.966876</td>\n",
320
+ " <td>0.704225</td>\n",
321
+ " <td>0.109463</td>\n",
 
322
  " </tr>\n",
323
  " <tr>\n",
324
+ " <th>255023</th>\n",
325
+ " <td>845160</td>\n",
326
+ " <td>198</td>\n",
327
+ " <td>Prescott Valley, AZ</td>\n",
328
  " <td>msa</td>\n",
329
+ " <td>AZ</td>\n",
330
  " <td>all homes</td>\n",
331
+ " <td>2023-12-09</td>\n",
332
+ " <td>0.981498</td>\n",
333
+ " <td>485000.0</td>\n",
334
+ " <td>503423.0</td>\n",
335
+ " <td>503423.0</td>\n",
336
+ " <td>0.658777</td>\n",
337
+ " <td>0.977990</td>\n",
338
+ " <td>0.100000</td>\n",
339
+ " <td>0.970073</td>\n",
340
+ " <td>0.981278</td>\n",
341
+ " <td>0.600000</td>\n",
342
+ " <td>0.114463</td>\n",
 
343
  " </tr>\n",
344
  " </tbody>\n",
345
  "</table>\n",
346
+ "<p>255024 rows × 18 columns</p>\n",
347
  "</div>"
348
  ],
349
  "text/plain": [
350
+ " RegionID SizeRank RegionName RegionType StateName \\\n",
351
+ "0 102001 0 United States country NaN \n",
352
+ "1 102001 0 United States country NaN \n",
353
+ "2 102001 0 United States country NaN \n",
354
+ "3 102001 0 United States country NaN \n",
355
+ "4 102001 0 United States country NaN \n",
356
+ "... ... ... ... ... ... \n",
357
+ "255019 845160 198 Prescott Valley, AZ msa AZ \n",
358
+ "255020 845160 198 Prescott Valley, AZ msa AZ \n",
359
+ "255021 845160 198 Prescott Valley, AZ msa AZ \n",
360
+ "255022 845160 198 Prescott Valley, AZ msa AZ \n",
361
+ "255023 845160 198 Prescott Valley, AZ msa AZ \n",
 
 
 
 
 
 
 
 
 
 
 
 
 
362
  "\n",
363
+ " Home Type Date Median Sale to List Ratio Median Sale Price \\\n",
364
+ "0 SFR 2008-02-02 NaN 172000.0 \n",
365
+ "1 SFR 2008-02-09 NaN 165400.0 \n",
366
+ "2 SFR 2008-02-16 NaN 168000.0 \n",
367
+ "3 SFR 2008-02-23 NaN 167600.0 \n",
368
+ "4 SFR 2008-03-01 NaN 168100.0 \n",
369
+ "... ... ... ... ... \n",
370
+ "255019 all homes 2023-11-11 0.985132 515000.0 \n",
371
+ "255020 all homes 2023-11-18 0.972559 510000.0 \n",
372
+ "255021 all homes 2023-11-25 0.979644 484500.0 \n",
373
+ "255022 all homes 2023-12-02 0.978261 538000.0 \n",
374
+ "255023 all homes 2023-12-09 0.981498 485000.0 \n",
375
  "\n",
376
+ " Median Sale Price (Smoothed) (Seasonally Adjusted) \\\n",
377
+ "0 NaN \n",
378
+ "1 NaN \n",
379
+ "2 NaN \n",
380
+ "3 NaN \n",
381
+ "4 NaN \n",
382
+ "... ... \n",
383
+ "255019 480020.0 \n",
384
+ "255020 476901.0 \n",
385
+ "255021 496540.0 \n",
386
+ "255022 510491.0 \n",
387
+ "255023 503423.0 \n",
388
  "\n",
389
+ " Median Sale Price (Smoothed) % Sold Below List (Smoothed) \\\n",
390
+ "0 NaN NaN \n",
391
+ "1 NaN NaN \n",
392
+ "2 NaN NaN \n",
393
+ "3 167600.0 NaN \n",
394
+ "4 168100.0 NaN \n",
395
+ "... ... ... \n",
396
+ "255019 480020.0 0.651221 \n",
397
+ "255020 476901.0 0.659583 \n",
398
+ "255021 496540.0 0.669387 \n",
399
+ "255022 510491.0 0.678777 \n",
400
+ "255023 503423.0 0.658777 \n",
401
  "\n",
402
+ " Median Sale to List Ratio (Smoothed) % Sold Above List \\\n",
403
+ "0 NaN NaN \n",
404
+ "1 NaN NaN \n",
405
+ "2 NaN NaN \n",
406
+ "3 NaN NaN \n",
407
+ "4 NaN NaN \n",
408
+ "... ... ... \n",
409
+ "255019 0.982460 0.080000 \n",
410
+ "255020 0.980362 0.142857 \n",
411
+ "255021 0.979179 0.088235 \n",
412
+ "255022 0.978899 0.126761 \n",
413
+ "255023 0.977990 0.100000 \n",
414
  "\n",
415
+ " Mean Sale to List Ratio (Smoothed) Mean Sale to List Ratio \\\n",
416
+ "0 NaN NaN \n",
417
+ "1 NaN NaN \n",
418
+ "2 NaN NaN \n",
419
+ "3 NaN NaN \n",
420
+ "4 NaN NaN \n",
421
+ "... ... ... \n",
422
+ "255019 0.978546 0.983288 \n",
423
+ "255020 0.972912 0.958341 \n",
424
+ "255021 0.971177 0.973797 \n",
425
+ "255022 0.970576 0.966876 \n",
426
+ "255023 0.970073 0.981278 \n",
427
  "\n",
428
+ " % Sold Below List % Sold Above List (Smoothed) \n",
429
+ "0 NaN NaN \n",
430
+ "1 NaN NaN \n",
431
+ "2 NaN NaN \n",
432
+ "3 NaN NaN \n",
433
+ "4 NaN NaN \n",
434
+ "... ... ... \n",
435
+ "255019 0.680000 0.119711 \n",
436
+ "255020 0.625000 0.120214 \n",
437
+ "255021 0.705882 0.107185 \n",
438
+ "255022 0.704225 0.109463 \n",
439
+ "255023 0.600000 0.114463 \n",
440
  "\n",
441
+ "[255024 rows x 18 columns]"
442
  ]
443
  },
444
  "execution_count": 3,
 
504
  },
505
  {
506
  "cell_type": "code",
507
+ "execution_count": 6,
508
  "metadata": {},
509
  "outputs": [
510
  {
 
535
  " <th>State</th>\n",
536
  " <th>Home Type</th>\n",
537
  " <th>Date</th>\n",
 
538
  " <th>Median Sale to List Ratio</th>\n",
539
  " <th>Median Sale Price</th>\n",
 
540
  " <th>Median Sale Price (Smoothed) (Seasonally Adjusted)</th>\n",
 
541
  " <th>Median Sale Price (Smoothed)</th>\n",
542
+ " <th>% Sold Below List (Smoothed)</th>\n",
543
  " <th>Median Sale to List Ratio (Smoothed)</th>\n",
544
  " <th>% Sold Above List</th>\n",
545
+ " <th>Mean Sale to List Ratio (Smoothed)</th>\n",
546
  " <th>Mean Sale to List Ratio</th>\n",
547
+ " <th>% Sold Below List</th>\n",
548
  " <th>% Sold Above List (Smoothed)</th>\n",
549
  " </tr>\n",
550
  " </thead>\n",
 
559
  " <td>SFR</td>\n",
560
  " <td>2008-02-02</td>\n",
561
  " <td>NaN</td>\n",
 
562
  " <td>172000.0</td>\n",
563
  " <td>NaN</td>\n",
564
  " <td>NaN</td>\n",
 
580
  " <td>SFR</td>\n",
581
  " <td>2008-02-09</td>\n",
582
  " <td>NaN</td>\n",
 
583
  " <td>165400.0</td>\n",
584
  " <td>NaN</td>\n",
585
  " <td>NaN</td>\n",
 
601
  " <td>SFR</td>\n",
602
  " <td>2008-02-16</td>\n",
603
  " <td>NaN</td>\n",
 
604
  " <td>168000.0</td>\n",
605
  " <td>NaN</td>\n",
606
  " <td>NaN</td>\n",
 
622
  " <td>SFR</td>\n",
623
  " <td>2008-02-23</td>\n",
624
  " <td>NaN</td>\n",
625
+ " <td>167600.0</td>\n",
626
  " <td>NaN</td>\n",
627
+ " <td>167600.0</td>\n",
 
628
  " <td>NaN</td>\n",
629
  " <td>NaN</td>\n",
 
630
  " <td>NaN</td>\n",
631
  " <td>NaN</td>\n",
632
  " <td>NaN</td>\n",
 
641
  " <td>country</td>\n",
642
  " <td>NaN</td>\n",
643
  " <td>SFR</td>\n",
644
+ " <td>2008-03-01</td>\n",
 
 
 
645
  " <td>NaN</td>\n",
646
+ " <td>168100.0</td>\n",
647
  " <td>NaN</td>\n",
648
+ " <td>168100.0</td>\n",
649
  " <td>NaN</td>\n",
650
  " <td>NaN</td>\n",
651
  " <td>NaN</td>\n",
 
674
  " <td>...</td>\n",
675
  " <td>...</td>\n",
676
  " <td>...</td>\n",
 
677
  " </tr>\n",
678
  " <tr>\n",
679
+ " <th>255019</th>\n",
680
+ " <td>845160</td>\n",
681
+ " <td>198</td>\n",
682
+ " <td>Prescott Valley, AZ</td>\n",
683
  " <td>msa</td>\n",
684
+ " <td>AZ</td>\n",
685
  " <td>all homes</td>\n",
686
+ " <td>2023-11-11</td>\n",
687
+ " <td>0.985132</td>\n",
688
+ " <td>515000.0</td>\n",
689
+ " <td>480020.0</td>\n",
690
+ " <td>480020.0</td>\n",
691
+ " <td>0.651221</td>\n",
692
+ " <td>0.982460</td>\n",
693
+ " <td>0.080000</td>\n",
694
+ " <td>0.978546</td>\n",
695
+ " <td>0.983288</td>\n",
696
+ " <td>0.680000</td>\n",
697
+ " <td>0.119711</td>\n",
 
698
  " </tr>\n",
699
  " <tr>\n",
700
+ " <th>255020</th>\n",
701
+ " <td>845160</td>\n",
702
+ " <td>198</td>\n",
703
+ " <td>Prescott Valley, AZ</td>\n",
704
  " <td>msa</td>\n",
705
+ " <td>AZ</td>\n",
706
  " <td>all homes</td>\n",
707
+ " <td>2023-11-18</td>\n",
708
+ " <td>0.972559</td>\n",
709
+ " <td>510000.0</td>\n",
710
+ " <td>476901.0</td>\n",
711
+ " <td>476901.0</td>\n",
712
+ " <td>0.659583</td>\n",
713
+ " <td>0.980362</td>\n",
714
+ " <td>0.142857</td>\n",
715
+ " <td>0.972912</td>\n",
716
+ " <td>0.958341</td>\n",
717
+ " <td>0.625000</td>\n",
718
+ " <td>0.120214</td>\n",
 
719
  " </tr>\n",
720
  " <tr>\n",
721
+ " <th>255021</th>\n",
722
+ " <td>845160</td>\n",
723
+ " <td>198</td>\n",
724
+ " <td>Prescott Valley, AZ</td>\n",
725
  " <td>msa</td>\n",
726
+ " <td>AZ</td>\n",
727
  " <td>all homes</td>\n",
728
+ " <td>2023-11-25</td>\n",
729
+ " <td>0.979644</td>\n",
730
+ " <td>484500.0</td>\n",
731
+ " <td>496540.0</td>\n",
732
+ " <td>496540.0</td>\n",
733
+ " <td>0.669387</td>\n",
734
+ " <td>0.979179</td>\n",
735
+ " <td>0.088235</td>\n",
736
+ " <td>0.971177</td>\n",
737
+ " <td>0.973797</td>\n",
738
+ " <td>0.705882</td>\n",
739
+ " <td>0.107185</td>\n",
 
740
  " </tr>\n",
741
  " <tr>\n",
742
+ " <th>255022</th>\n",
743
+ " <td>845160</td>\n",
744
+ " <td>198</td>\n",
745
+ " <td>Prescott Valley, AZ</td>\n",
746
  " <td>msa</td>\n",
747
+ " <td>AZ</td>\n",
748
  " <td>all homes</td>\n",
749
+ " <td>2023-12-02</td>\n",
750
+ " <td>0.978261</td>\n",
751
+ " <td>538000.0</td>\n",
752
+ " <td>510491.0</td>\n",
753
+ " <td>510491.0</td>\n",
754
+ " <td>0.678777</td>\n",
755
+ " <td>0.978899</td>\n",
756
+ " <td>0.126761</td>\n",
757
+ " <td>0.970576</td>\n",
758
+ " <td>0.966876</td>\n",
759
+ " <td>0.704225</td>\n",
760
+ " <td>0.109463</td>\n",
 
761
  " </tr>\n",
762
  " <tr>\n",
763
+ " <th>255023</th>\n",
764
+ " <td>845160</td>\n",
765
+ " <td>198</td>\n",
766
+ " <td>Prescott Valley, AZ</td>\n",
767
  " <td>msa</td>\n",
768
+ " <td>AZ</td>\n",
769
  " <td>all homes</td>\n",
770
+ " <td>2023-12-09</td>\n",
771
+ " <td>0.981498</td>\n",
772
+ " <td>485000.0</td>\n",
773
+ " <td>503423.0</td>\n",
774
+ " <td>503423.0</td>\n",
775
+ " <td>0.658777</td>\n",
776
+ " <td>0.977990</td>\n",
777
+ " <td>0.100000</td>\n",
778
+ " <td>0.970073</td>\n",
779
+ " <td>0.981278</td>\n",
780
+ " <td>0.600000</td>\n",
781
+ " <td>0.114463</td>\n",
 
782
  " </tr>\n",
783
  " </tbody>\n",
784
  "</table>\n",
785
+ "<p>255024 rows × 18 columns</p>\n",
786
  "</div>"
787
  ],
788
  "text/plain": [
789
+ " Region ID Size Rank Region Region Type State \\\n",
790
+ "0 102001 0 United States country NaN \n",
791
+ "1 102001 0 United States country NaN \n",
792
+ "2 102001 0 United States country NaN \n",
793
+ "3 102001 0 United States country NaN \n",
794
+ "4 102001 0 United States country NaN \n",
795
+ "... ... ... ... ... ... \n",
796
+ "255019 845160 198 Prescott Valley, AZ msa AZ \n",
797
+ "255020 845160 198 Prescott Valley, AZ msa AZ \n",
798
+ "255021 845160 198 Prescott Valley, AZ msa AZ \n",
799
+ "255022 845160 198 Prescott Valley, AZ msa AZ \n",
800
+ "255023 845160 198 Prescott Valley, AZ msa AZ \n",
 
 
 
 
 
 
 
 
 
 
 
 
 
801
  "\n",
802
+ " Home Type Date Median Sale to List Ratio Median Sale Price \\\n",
803
+ "0 SFR 2008-02-02 NaN 172000.0 \n",
804
+ "1 SFR 2008-02-09 NaN 165400.0 \n",
805
+ "2 SFR 2008-02-16 NaN 168000.0 \n",
806
+ "3 SFR 2008-02-23 NaN 167600.0 \n",
807
+ "4 SFR 2008-03-01 NaN 168100.0 \n",
808
+ "... ... ... ... ... \n",
809
+ "255019 all homes 2023-11-11 0.985132 515000.0 \n",
810
+ "255020 all homes 2023-11-18 0.972559 510000.0 \n",
811
+ "255021 all homes 2023-11-25 0.979644 484500.0 \n",
812
+ "255022 all homes 2023-12-02 0.978261 538000.0 \n",
813
+ "255023 all homes 2023-12-09 0.981498 485000.0 \n",
814
  "\n",
815
+ " Median Sale Price (Smoothed) (Seasonally Adjusted) \\\n",
816
+ "0 NaN \n",
817
+ "1 NaN \n",
818
+ "2 NaN \n",
819
+ "3 NaN \n",
820
+ "4 NaN \n",
821
+ "... ... \n",
822
+ "255019 480020.0 \n",
823
+ "255020 476901.0 \n",
824
+ "255021 496540.0 \n",
825
+ "255022 510491.0 \n",
826
+ "255023 503423.0 \n",
827
  "\n",
828
+ " Median Sale Price (Smoothed) % Sold Below List (Smoothed) \\\n",
829
+ "0 NaN NaN \n",
830
+ "1 NaN NaN \n",
831
+ "2 NaN NaN \n",
832
+ "3 167600.0 NaN \n",
833
+ "4 168100.0 NaN \n",
834
+ "... ... ... \n",
835
+ "255019 480020.0 0.651221 \n",
836
+ "255020 476901.0 0.659583 \n",
837
+ "255021 496540.0 0.669387 \n",
838
+ "255022 510491.0 0.678777 \n",
839
+ "255023 503423.0 0.658777 \n",
840
  "\n",
841
+ " Median Sale to List Ratio (Smoothed) % Sold Above List \\\n",
842
+ "0 NaN NaN \n",
843
+ "1 NaN NaN \n",
844
+ "2 NaN NaN \n",
845
+ "3 NaN NaN \n",
846
+ "4 NaN NaN \n",
847
+ "... ... ... \n",
848
+ "255019 0.982460 0.080000 \n",
849
+ "255020 0.980362 0.142857 \n",
850
+ "255021 0.979179 0.088235 \n",
851
+ "255022 0.978899 0.126761 \n",
852
+ "255023 0.977990 0.100000 \n",
853
  "\n",
854
+ " Mean Sale to List Ratio (Smoothed) Mean Sale to List Ratio \\\n",
855
+ "0 NaN NaN \n",
856
+ "1 NaN NaN \n",
857
+ "2 NaN NaN \n",
858
+ "3 NaN NaN \n",
859
+ "4 NaN NaN \n",
860
+ "... ... ... \n",
861
+ "255019 0.978546 0.983288 \n",
862
+ "255020 0.972912 0.958341 \n",
863
+ "255021 0.971177 0.973797 \n",
864
+ "255022 0.970576 0.966876 \n",
865
+ "255023 0.970073 0.981278 \n",
866
  "\n",
867
+ " % Sold Below List % Sold Above List (Smoothed) \n",
868
+ "0 NaN NaN \n",
869
+ "1 NaN NaN \n",
870
+ "2 NaN NaN \n",
871
+ "3 NaN NaN \n",
872
+ "4 NaN NaN \n",
873
+ "... ... ... \n",
874
+ "255019 0.680000 0.119711 \n",
875
+ "255020 0.625000 0.120214 \n",
876
+ "255021 0.705882 0.107185 \n",
877
+ "255022 0.704225 0.109463 \n",
878
+ "255023 0.600000 0.114463 \n",
879
  "\n",
880
+ "[255024 rows x 18 columns]"
881
  ]
882
  },
883
+ "execution_count": 6,
884
  "metadata": {},
885
  "output_type": "execute_result"
886
  }
 
897
  " }\n",
898
  ")\n",
899
  "\n",
900
+ "final_df[\"Date\"] = pd.to_datetime(final_df[\"Date\"])\n",
901
  "final_df.sort_values(by=[\"Region ID\", \"Home Type\", \"Date\"])"
902
  ]
903
  },
904
  {
905
  "cell_type": "code",
906
+ "execution_count": 7,
907
  "metadata": {},
908
  "outputs": [],
909
  "source": [
zillow.py CHANGED
@@ -209,7 +209,7 @@ class Zillow(datasets.GeneratorBasedBuilder):
209
  num_classes=2,
210
  names=["SFR", "all homes"],
211
  ),
212
- "Date": datasets.Value(dtype="string", id="Date"),
213
  "Mean Sale to List Ratio (Smoothed)": datasets.Value(
214
  dtype="float32", id="Mean Sale to List Ratio (Smoothed)"
215
  ),
 
209
  num_classes=2,
210
  names=["SFR", "all homes"],
211
  ),
212
+ "Date": datasets.Value(dtype="date32", id="Date"),
213
  "Mean Sale to List Ratio (Smoothed)": datasets.Value(
214
  dtype="float32", id="Mean Sale to List Ratio (Smoothed)"
215
  ),