Datasets:
albertvillanova
/
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
-118.19
34.65
33
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326
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314
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32
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500,001
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34.21
41
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228
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225
6.553
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34.2
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34
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34.12
36
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34.12
35
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34.11
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34.11
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34.11
26
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34.1
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41
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530
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537
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34.08
38
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263
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34.07
42
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34.06
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555
159
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163
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34.05
47
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264
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260
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34.05
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302
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34.05
43
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266
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-118.19
34.05
42
1,291
345
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332
1.9083
119,200
-118.19
34.05
41
1,098
264
1,178
245
2.1058
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-118.19
34.05
37
349
79
276
64
3.2125
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-118.19
34.05
35
1,296
307
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276
2.7432
135,200
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34.04
43
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34.04
40
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34.04
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34.04
34
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34.03
52
1,053
246
1,036
249
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136,700
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34.03
50
1,183
246
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231
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34.03
42
2,250
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1.9719
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34.03
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525
136
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34.02
45
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432
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34.02
44
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34.02
40
474
124
546
121
2.3438
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34.02
34
1,478
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33.99
42
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33.99
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33.98
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33.98
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33.97
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520
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33.96
40
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296
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292
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33.96
28
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33.95
44
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271
850
269
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33.95
42
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33.95
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33.95
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33.94
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33.94
45
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33.93
44
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342
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33.93
40
1,334
276
1,226
278
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-118.19
33.92
43
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487
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139,400
-118.19
33.92
36
1,356
314
1,469
300
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33.92
35
915
241
1,153
252
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33.91
35
2,695
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2,935
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2.0134
132,400
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33.91
33
915
225
826
212
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117,400
-118.19
33.9
36
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543
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33.9
36
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33.9
32
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33.89
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33.89
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33.87
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33.87
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33.86
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33.86
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33.85
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302
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287
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33.85
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-118.19
33.84
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1,228
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2.25
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33.83
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411
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33.83
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-118.19
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33.81
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1,835
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33.8
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33.8
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-118.19
33.8
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33.79
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33.79
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142,600
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33.79
37
1,834
551
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-118.19
33.79
30
3,107
994
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33.78
8
992
393
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2.5544
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