Datasets:
albertvillanova
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tmp-csv

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longitude
float64
-124.35
-114.31
latitude
float64
32.5
42
housing_median_age
float64
1
52
total_rooms
float64
2
37.9k
total_bedrooms
float64
1
6.45k
population
float64
3
35.7k
households
float64
1
6.08k
median_income
float64
0.5
15
median_house_value
float64
15k
500k
-118.44
34.22
41
1,582
399
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378
2.825
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41
1,030
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223
3.8083
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34.22
39
1,529
344
913
314
3.325
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34.22
36
1,191
266
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34.21
37
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36
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35
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17
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37
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344
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5
243,600
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19
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835
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34.18
35
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270
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256
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34.18
33
2,127
414
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391
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286,100
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34.18
17
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29
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15
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36
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224
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14
520
292
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213
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13
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807
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22
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34.05
20
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34.05
18
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1,192
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1,036
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500,001
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34.05
15
5,368
1,312
2,269
1,232
5.7097
316,700
-118.44
34.04
31
2,670
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347,800
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34.04
16
18
6
3
4
0.536
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34.03
41
1,164
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251
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37
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37
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488
224
3.625
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1,039
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3.125
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34.02
39
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632
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617
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34.02
37
1,592
308
783
321
6.2583
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-118.44
34.02
32
2,242
490
921
461
4.0429
500,001
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34.01
43
1,408
246
651
240
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34.01
42
2,061
396
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34.01
41
1,309
221
534
228
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34
44
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353
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314
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34
44
1,462
338
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341
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34
41
1,562
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34
40
1,287
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34
22
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33.99
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4.3333
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33.96
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37.7
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35.62
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16
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34.44
16
13,406
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4.6861
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-118.45
34.31
9
1,739
358
820
323
4.0556
182,500
-118.45
34.31
28
1,532
287
977
275
4.4773
173,100
-118.45
34.3
35
4,085
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160,200
-118.45
34.3
27
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2,661
623
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152,100
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34.29
30
762
228
840
226
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34.28
38
1,527
332
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340
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-118.45
34.28
36
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34.27
35
1,579
300
1,012
265
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195,900
-118.45
34.27
33
1,194
229
839
230
3.705
185,800
-118.45
34.26
35
1,724
311
992
315
4.8359
195,600
-118.45
34.26
35
1,637
300
894
302
4.175
209,600
-118.45
34.25
34
2,094
380
1,207
380
5.2801
212,300
-118.45
34.24
7
3,299
794
2,343
647
3.0865
205,900
-118.45
34.24
11
9,053
2,193
7,096
2,038
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136,500
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34.23
15
5,738
1,767
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1,581
2.3584
157,600
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34.22
8
2,609
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185,700
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34.22
24
3,442
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34.21
30
2,331
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195,600
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34.2
19
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18
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230,800
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34.19
11
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855
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34.18
39
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380
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34.18
22
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158,300
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34.17
33
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34.17
21
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34.16
22
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3.6171
318,300
-118.45
34.16
22
4,982
1,358
2,237
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34.15
20
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1,334
753
4.5656
478,400
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34.15
10
1,091
260
517
266
4.1727
332,600
-118.45
34.14
33
1,741
274
588
267
7.9625
490,800
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34.1
31
6,675
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34.08
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1,500
176
384
145
7.1576
500,001
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34.07
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34.06
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204
34
1,154
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9.337
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34.06
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3,367
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2,667
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34.05
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4,099
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275,000
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34.04
23
3,771
1,321
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277,500
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34.04
22
3,319
1,045
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940
3.6673
283,300
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34.04
19
3,330
1,010
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915
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393,800
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34.03
45
727
168
520
175
2.6528
300,000
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34.03
41
1,240
320
711
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3.3482
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