Overview

Dataset statistics

Number of variables64
Number of observations200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.8 KiB
Average record size in memory572.7 B

Variable types

Numeric61
Text2
Categorical1

Alerts

HOUS_CLSS is highly imbalanced (50.0%)Imbalance
HOUS_ADDR has unique valuesUnique
ROAD_ADDR has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:15:08.790042
Analysis finished2023-12-10 06:15:10.086638
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

HOUS_ID
Real number (ℝ)

Distinct193
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1700054 × 1018
Minimum1.1680101 × 1018
Maximum1.1710106 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:10.220532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1680101 × 1018
5-th percentile1.1680101 × 1018
Q11.1680108 × 1018
median1.1710102 × 1018
Q31.1710105 × 1018
95-th percentile1.1710106 × 1018
Maximum1.1710106 × 1018
Range3.0005 × 1015
Interquartile range (IQR)2.9997 × 1015

Descriptive statistics

Standard deviation1.4194466 × 1015
Coefficient of variation (CV)0.0012131966
Kurtosis-1.5190259
Mean1.1700054 × 1018
Median Absolute Deviation (MAD)3.0000136 × 1011
Skewness-0.70446118
Sum-5.8065848 × 1018
Variance2.0148286 × 1030
MonotonicityNot monotonic
2023-12-10T15:15:10.474351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1171010200000070000 5
 
2.5%
1171010400001660000 2
 
1.0%
1171010400001510000 2
 
1.0%
1171010200000170006 2
 
1.0%
1171010100003270002 1
 
0.5%
1168010300012340003 1
 
0.5%
1171010600000130013 1
 
0.5%
1171010600000150008 1
 
0.5%
1171010600000260009 1
 
0.5%
1171010100003270016 1
 
0.5%
Other values (183) 183
91.5%
ValueCountFrequency (%)
1168010100006450005 1
0.5%
1168010100006550003 1
0.5%
1168010100006550022 1
0.5%
1168010100006560011 1
0.5%
1168010100006560024 1
0.5%
1168010100006560029 1
0.5%
1168010100006570002 1
0.5%
1168010100006570028 1
0.5%
1168010100006580018 1
0.5%
1168010100006600009 1
0.5%
ValueCountFrequency (%)
1171010600000350010 1
0.5%
1171010600000340027 1
0.5%
1171010600000340014 1
0.5%
1171010600000340001 1
0.5%
1171010600000320016 1
0.5%
1171010600000320013 1
0.5%
1171010600000320001 1
0.5%
1171010600000310007 1
0.5%
1171010600000300002 1
0.5%
1171010600000290010 1
0.5%

BLD_CD
Real number (ℝ)

Distinct131
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1700054 × 1024
Minimum1.1680101 × 1024
Maximum1.1710106 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:10.704729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1680101 × 1024
5-th percentile1.1680101 × 1024
Q11.1680108 × 1024
median1.1710102 × 1024
Q31.1710105 × 1024
95-th percentile1.1710106 × 1024
Maximum1.1710106 × 1024
Range3.0005 × 1021
Interquartile range (IQR)2.9997 × 1021

Descriptive statistics

Standard deviation1.4194466 × 1021
Coefficient of variation (CV)0.0012131966
Kurtosis-1.5190259
Mean1.1700054 × 1024
Median Absolute Deviation (MAD)3.0000136 × 1017
Skewness-0.70446118
Sum2.3400109 × 1026
Variance2.0148286 × 1042
MonotonicityNot monotonic
2023-12-10T15:15:10.945413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.16801060010901e+24 6
 
3.0%
1.17101020010007e+24 6
 
3.0%
1.1710105001015e+24 5
 
2.5%
1.168010600109e+24 5
 
2.5%
1.17101040010118e+24 4
 
2.0%
1.17101010010327e+24 3
 
1.5%
1.17101050010005e+24 3
 
1.5%
1.17101010010321e+24 3
 
1.5%
1.16801010010656e+24 3
 
1.5%
1.17101060010032e+24 3
 
1.5%
Other values (121) 159
79.5%
ValueCountFrequency (%)
1.16801010010645e+24 1
 
0.5%
1.16801010010655e+24 2
1.0%
1.16801010010656e+24 3
1.5%
1.16801010010657e+24 2
1.0%
1.16801010010658e+24 1
 
0.5%
1.1680101001066e+24 2
1.0%
1.16801030010209e+24 1
 
0.5%
1.1680103001021e+24 1
 
0.5%
1.16801030010211e+24 1
 
0.5%
1.16801030010215e+24 1
 
0.5%
ValueCountFrequency (%)
1.17101060010035e+24 1
 
0.5%
1.17101060010034e+24 3
1.5%
1.17101060010032e+24 3
1.5%
1.17101060010031e+24 1
 
0.5%
1.1710106001003e+24 1
 
0.5%
1.17101060010029e+24 2
1.0%
1.17101060010028e+24 3
1.5%
1.17101060010027e+24 1
 
0.5%
1.17101060010026e+24 1
 
0.5%
1.17101060010015e+24 1
 
0.5%

POP_00
Real number (ℝ)

Distinct77
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.49235
Minimum0.09
Maximum27.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:11.201247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.25
Q10.405
median0.51
Q30.72
95-th percentile9.133
Maximum27.02
Range26.93
Interquartile range (IQR)0.315

Descriptive statistics

Standard deviation3.5185328
Coefficient of variation (CV)2.3577129
Kurtosis21.906794
Mean1.49235
Median Absolute Deviation (MAD)0.165
Skewness4.4267122
Sum298.47
Variance12.380073
MonotonicityNot monotonic
2023-12-10T15:15:11.433758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.56 9
 
4.5%
0.41 9
 
4.5%
0.84 8
 
4.0%
0.34 7
 
3.5%
0.49 7
 
3.5%
0.25 7
 
3.5%
0.5 6
 
3.0%
0.68 6
 
3.0%
0.46 6
 
3.0%
0.45 5
 
2.5%
Other values (67) 130
65.0%
ValueCountFrequency (%)
0.09 1
 
0.5%
0.12 2
 
1.0%
0.16 1
 
0.5%
0.19 2
 
1.0%
0.22 1
 
0.5%
0.24 1
 
0.5%
0.25 7
3.5%
0.27 3
1.5%
0.28 4
2.0%
0.29 1
 
0.5%
ValueCountFrequency (%)
27.02 1
0.5%
19.46 1
0.5%
18.92 1
0.5%
15.13 2
1.0%
11.62 1
0.5%
11.35 2
1.0%
10.35 1
0.5%
10.14 1
0.5%
9.08 1
0.5%
7.75 1
0.5%

POP_05
Real number (ℝ)

Distinct76
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6348
Minimum0.08
Maximum28.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:11.638596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.21
Q10.37
median0.51
Q30.77
95-th percentile11.974
Maximum28.69
Range28.61
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation3.9481193
Coefficient of variation (CV)2.4150473
Kurtosis18.517968
Mean1.6348
Median Absolute Deviation (MAD)0.18
Skewness4.1405453
Sum326.96
Variance15.587646
MonotonicityNot monotonic
2023-12-10T15:15:11.886735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37 12
 
6.0%
0.47 11
 
5.5%
0.42 11
 
5.5%
1.0 9
 
4.5%
0.52 8
 
4.0%
0.41 8
 
4.0%
0.58 7
 
3.5%
0.51 7
 
3.5%
0.33 6
 
3.0%
0.88 6
 
3.0%
Other values (66) 115
57.5%
ValueCountFrequency (%)
0.08 1
 
0.5%
0.1 2
1.0%
0.17 1
 
0.5%
0.18 1
 
0.5%
0.2 4
2.0%
0.21 4
2.0%
0.22 1
 
0.5%
0.23 3
1.5%
0.24 1
 
0.5%
0.25 1
 
0.5%
ValueCountFrequency (%)
28.69 1
0.5%
20.66 1
0.5%
20.09 1
0.5%
17.95 1
0.5%
16.07 2
1.0%
12.31 1
0.5%
12.06 1
0.5%
12.05 2
1.0%
11.97 1
0.5%
10.8 1
0.5%

POP_10
Real number (ℝ)

Distinct82
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.67015
Minimum0.09
Maximum30.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:12.110179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.22
Q10.3975
median0.53
Q30.8825
95-th percentile10.3395
Maximum30.29
Range30.2
Interquartile range (IQR)0.485

Descriptive statistics

Standard deviation3.9459503
Coefficient of variation (CV)2.3626323
Kurtosis21.791683
Mean1.67015
Median Absolute Deviation (MAD)0.19
Skewness4.4026562
Sum334.03
Variance15.570524
MonotonicityNot monotonic
2023-12-10T15:15:12.389525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.96 10
 
5.0%
0.42 8
 
4.0%
0.47 8
 
4.0%
0.37 7
 
3.5%
0.48 7
 
3.5%
0.43 6
 
3.0%
0.29 6
 
3.0%
0.52 6
 
3.0%
0.41 6
 
3.0%
0.54 5
 
2.5%
Other values (72) 131
65.5%
ValueCountFrequency (%)
0.09 1
 
0.5%
0.12 2
 
1.0%
0.19 1
 
0.5%
0.21 4
2.0%
0.22 4
2.0%
0.23 1
 
0.5%
0.24 1
 
0.5%
0.26 5
2.5%
0.27 1
 
0.5%
0.29 6
3.0%
ValueCountFrequency (%)
30.29 1
0.5%
21.81 1
0.5%
21.2 1
0.5%
16.96 2
1.0%
12.72 2
1.0%
12.17 1
0.5%
11.71 1
0.5%
11.47 1
0.5%
10.28 1
0.5%
8.6 1
0.5%

POP_15
Real number (ℝ)

Distinct83
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.12055
Minimum0.12
Maximum33.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:12.609463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.37
Q10.57
median0.75
Q31.27
95-th percentile13.025
Maximum33.15
Range33.03
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation4.4326651
Coefficient of variation (CV)2.0903375
Kurtosis18.982154
Mean2.12055
Median Absolute Deviation (MAD)0.25
Skewness4.1145498
Sum424.11
Variance19.64852
MonotonicityNot monotonic
2023-12-10T15:15:12.831116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72 17
 
8.5%
0.64 11
 
5.5%
0.58 8
 
4.0%
1.27 8
 
4.0%
0.43 7
 
3.5%
0.56 7
 
3.5%
0.96 7
 
3.5%
0.8 6
 
3.0%
0.53 6
 
3.0%
0.6 5
 
2.5%
Other values (73) 118
59.0%
ValueCountFrequency (%)
0.12 1
 
0.5%
0.16 2
1.0%
0.26 1
 
0.5%
0.3 3
1.5%
0.33 1
 
0.5%
0.36 1
 
0.5%
0.37 3
1.5%
0.38 1
 
0.5%
0.39 1
 
0.5%
0.4 1
 
0.5%
ValueCountFrequency (%)
33.15 1
0.5%
23.87 1
0.5%
23.2 1
0.5%
18.56 2
1.0%
15.6 1
0.5%
15.29 1
0.5%
13.92 2
1.0%
13.69 1
0.5%
12.99 1
0.5%
11.46 1
0.5%

POP_20
Real number (ℝ)

Distinct91
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.74255
Minimum0.31
Maximum37.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:13.062121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.31
5-th percentile0.6695
Q10.96
median1.2
Q31.61
95-th percentile14.331
Maximum37.79
Range37.48
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation5.0980268
Coefficient of variation (CV)1.8588638
Kurtosis17.703072
Mean2.74255
Median Absolute Deviation (MAD)0.29
Skewness3.9843288
Sum548.51
Variance25.989877
MonotonicityNot monotonic
2023-12-10T15:15:13.274466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.58 9
 
4.5%
1.03 8
 
4.0%
1.11 6
 
3.0%
1.32 6
 
3.0%
1.05 6
 
3.0%
1.15 6
 
3.0%
0.84 6
 
3.0%
0.96 5
 
2.5%
1.21 5
 
2.5%
0.99 5
 
2.5%
Other values (81) 138
69.0%
ValueCountFrequency (%)
0.31 1
 
0.5%
0.4 1
 
0.5%
0.42 2
1.0%
0.48 3
1.5%
0.6 1
 
0.5%
0.62 1
 
0.5%
0.66 1
 
0.5%
0.67 1
 
0.5%
0.69 3
1.5%
0.72 1
 
0.5%
ValueCountFrequency (%)
37.79 1
0.5%
27.21 1
0.5%
26.45 1
0.5%
21.16 2
1.0%
19.39 1
0.5%
19.0 1
0.5%
17.02 1
0.5%
15.87 2
1.0%
14.25 1
0.5%
11.82 1
0.5%

POP_25
Real number (ℝ)

Distinct98
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.70855
Minimum0.47
Maximum42.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:13.503946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.47
5-th percentile1.015
Q11.57
median1.96
Q32.6375
95-th percentile17.928
Maximum42.61
Range42.14
Interquartile range (IQR)1.0675

Descriptive statistics

Standard deviation5.8289519
Coefficient of variation (CV)1.5717604
Kurtosis15.961314
Mean3.70855
Median Absolute Deviation (MAD)0.455
Skewness3.806569
Sum741.71
Variance33.97668
MonotonicityNot monotonic
2023-12-10T15:15:13.714972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.73 8
 
4.0%
1.72 8
 
4.0%
2.05 7
 
3.5%
2.02 6
 
3.0%
1.94 6
 
3.0%
1.84 6
 
3.0%
1.98 5
 
2.5%
1.64 5
 
2.5%
1.54 5
 
2.5%
1.76 5
 
2.5%
Other values (88) 139
69.5%
ValueCountFrequency (%)
0.47 1
 
0.5%
0.67 1
 
0.5%
0.71 1
 
0.5%
0.78 1
 
0.5%
0.88 3
1.5%
0.9 2
1.0%
0.92 1
 
0.5%
1.02 1
 
0.5%
1.07 2
1.0%
1.1 2
1.0%
ValueCountFrequency (%)
42.61 1
0.5%
30.68 1
0.5%
29.83 1
0.5%
25.31 1
0.5%
23.86 2
1.0%
21.03 1
0.5%
20.6 1
0.5%
19.43 1
0.5%
18.46 1
0.5%
17.9 2
1.0%

POP_30
Real number (ℝ)

Distinct95
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.69975
Minimum0.5
Maximum43.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:13.914908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.005
Q11.55
median1.97
Q32.64
95-th percentile18.35
Maximum43.69
Range43.19
Interquartile range (IQR)1.09

Descriptive statistics

Standard deviation5.8267095
Coefficient of variation (CV)1.5748928
Kurtosis17.4642
Mean3.69975
Median Absolute Deviation (MAD)0.45
Skewness3.9427387
Sum739.95
Variance33.950543
MonotonicityNot monotonic
2023-12-10T15:15:14.134321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.55 8
 
4.0%
1.97 8
 
4.0%
1.74 7
 
3.5%
1.95 6
 
3.0%
1.76 6
 
3.0%
1.82 5
 
2.5%
1.6 5
 
2.5%
1.52 5
 
2.5%
1.98 5
 
2.5%
1.16 4
 
2.0%
Other values (85) 141
70.5%
ValueCountFrequency (%)
0.5 1
 
0.5%
0.66 1
 
0.5%
0.73 1
 
0.5%
0.83 1
 
0.5%
0.84 1
 
0.5%
0.88 2
1.0%
0.91 3
1.5%
1.01 1
 
0.5%
1.1 3
1.5%
1.14 1
 
0.5%
ValueCountFrequency (%)
43.69 1
0.5%
31.46 1
0.5%
30.58 1
0.5%
24.8 1
0.5%
24.47 2
1.0%
19.54 1
0.5%
18.98 1
0.5%
18.59 1
0.5%
18.35 2
1.0%
16.65 1
0.5%

POP_35
Real number (ℝ)

Distinct91
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.98125
Minimum0.52
Maximum52.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:14.352740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.52
5-th percentile1.0125
Q11.59
median1.84
Q32.46
95-th percentile21.851
Maximum52.52
Range52
Interquartile range (IQR)0.87

Descriptive statistics

Standard deviation6.9934168
Coefficient of variation (CV)1.7565882
Kurtosis17.933843
Mean3.98125
Median Absolute Deviation (MAD)0.365
Skewness3.9806483
Sum796.25
Variance48.907878
MonotonicityNot monotonic
2023-12-10T15:15:14.598964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.71 13
 
6.5%
1.84 11
 
5.5%
1.92 7
 
3.5%
1.59 6
 
3.0%
2.13 6
 
3.0%
1.79 6
 
3.0%
1.87 5
 
2.5%
1.49 5
 
2.5%
1.45 5
 
2.5%
1.66 5
 
2.5%
Other values (81) 131
65.5%
ValueCountFrequency (%)
0.52 1
 
0.5%
0.61 1
 
0.5%
0.76 1
 
0.5%
0.82 2
1.0%
0.83 3
1.5%
0.85 1
 
0.5%
0.87 1
 
0.5%
1.02 1
 
0.5%
1.04 1
 
0.5%
1.07 2
1.0%
ValueCountFrequency (%)
52.52 1
0.5%
37.82 1
0.5%
36.77 1
0.5%
29.41 2
1.0%
23.06 1
0.5%
22.53 1
0.5%
22.07 1
0.5%
22.06 2
1.0%
21.84 1
0.5%
19.77 1
0.5%

POP_40
Real number (ℝ)

Distinct92
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.32355
Minimum0.43
Maximum46.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:14.833147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.43
5-th percentile0.74
Q11.18
median1.48
Q31.945
95-th percentile17.29
Maximum46.92
Range46.49
Interquartile range (IQR)0.765

Descriptive statistics

Standard deviation6.2485443
Coefficient of variation (CV)1.8800813
Kurtosis18.412587
Mean3.32355
Median Absolute Deviation (MAD)0.32
Skewness4.0356437
Sum664.71
Variance39.044305
MonotonicityNot monotonic
2023-12-10T15:15:15.012916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.18 15
 
7.5%
1.33 13
 
6.5%
1.6 8
 
4.0%
1.16 8
 
4.0%
1.48 7
 
3.5%
1.04 5
 
2.5%
1.5 5
 
2.5%
1.99 5
 
2.5%
1.4 4
 
2.0%
1.03 4
 
2.0%
Other values (82) 126
63.0%
ValueCountFrequency (%)
0.43 1
 
0.5%
0.44 1
 
0.5%
0.57 2
1.0%
0.59 3
1.5%
0.72 1
 
0.5%
0.73 1
 
0.5%
0.74 2
1.0%
0.83 1
 
0.5%
0.84 1
 
0.5%
0.87 1
 
0.5%
ValueCountFrequency (%)
46.92 1
0.5%
33.78 1
0.5%
32.84 1
0.5%
26.27 2
1.0%
22.33 1
0.5%
19.71 2
1.0%
19.59 1
0.5%
19.19 1
0.5%
17.19 1
0.5%
16.03 1
0.5%

POP_45
Real number (ℝ)

Distinct92
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.59395
Minimum0.38
Maximum53.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:15.237494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.38
5-th percentile0.839
Q11.25
median1.51
Q32.1325
95-th percentile18.0395
Maximum53.01
Range52.63
Interquartile range (IQR)0.8825

Descriptive statistics

Standard deviation6.9342546
Coefficient of variation (CV)1.9294243
Kurtosis19.915597
Mean3.59395
Median Absolute Deviation (MAD)0.375
Skewness4.1741399
Sum718.79
Variance48.083886
MonotonicityNot monotonic
2023-12-10T15:15:15.452564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.25 11
 
5.5%
1.8 9
 
4.5%
1.31 7
 
3.5%
1.41 6
 
3.0%
1.09 5
 
2.5%
1.4 5
 
2.5%
1.12 5
 
2.5%
1.47 5
 
2.5%
1.35 4
 
2.0%
1.58 4
 
2.0%
Other values (82) 139
69.5%
ValueCountFrequency (%)
0.38 1
 
0.5%
0.5 2
1.0%
0.53 1
 
0.5%
0.62 3
1.5%
0.7 1
 
0.5%
0.78 1
 
0.5%
0.82 1
 
0.5%
0.84 1
 
0.5%
0.87 1
 
0.5%
0.89 1
 
0.5%
ValueCountFrequency (%)
53.01 1
0.5%
38.16 1
0.5%
37.1 1
0.5%
29.68 2
1.0%
22.26 2
1.0%
22.06 1
0.5%
21.61 1
0.5%
19.36 1
0.5%
17.97 1
0.5%
17.33 1
0.5%

HOUS_ADDR
Text

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:15.963911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length26.03
Min length19

Characters and Unicode

Total characters5206
Distinct characters206
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 풍납동 146-2번지 삼성월드빌
2nd row서울특별시 송파구 풍납동 148-10번지 담터그린빌
3rd row서울특별시 송파구 풍납동 151-28번지
4th row서울특별시 송파구 삼전동 28-25번지 양지주택
5th row서울특별시 송파구 삼전동 29-5번지 유로빌라 A동
ValueCountFrequency (%)
서울특별시 200
20.2%
송파구 133
 
13.4%
강남구 67
 
6.8%
송파동 41
 
4.1%
석촌동 28
 
2.8%
논현동 28
 
2.8%
잠실동 26
 
2.6%
삼전동 26
 
2.6%
1동 16
 
1.6%
대치동 14
 
1.4%
Other values (352) 410
41.5%
2023-12-10T15:15:16.732782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
789
 
15.2%
1 270
 
5.2%
256
 
4.9%
210
 
4.0%
202
 
3.9%
202
 
3.9%
201
 
3.9%
200
 
3.8%
200
 
3.8%
200
 
3.8%
Other values (196) 2476
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3324
63.8%
Decimal Number 892
 
17.1%
Space Separator 789
 
15.2%
Dash Punctuation 184
 
3.5%
Uppercase Letter 17
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
256
 
7.7%
210
 
6.3%
202
 
6.1%
202
 
6.1%
201
 
6.0%
200
 
6.0%
200
 
6.0%
200
 
6.0%
200
 
6.0%
193
 
5.8%
Other values (176) 1260
37.9%
Decimal Number
ValueCountFrequency (%)
1 270
30.3%
2 127
14.2%
3 95
 
10.7%
0 70
 
7.8%
6 63
 
7.1%
5 63
 
7.1%
7 62
 
7.0%
9 53
 
5.9%
8 46
 
5.2%
4 43
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 5
29.4%
B 3
17.6%
L 2
 
11.8%
I 2
 
11.8%
H 2
 
11.8%
J 1
 
5.9%
G 1
 
5.9%
C 1
 
5.9%
Space Separator
ValueCountFrequency (%)
789
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3324
63.8%
Common 1865
35.8%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
256
 
7.7%
210
 
6.3%
202
 
6.1%
202
 
6.1%
201
 
6.0%
200
 
6.0%
200
 
6.0%
200
 
6.0%
200
 
6.0%
193
 
5.8%
Other values (176) 1260
37.9%
Common
ValueCountFrequency (%)
789
42.3%
1 270
 
14.5%
- 184
 
9.9%
2 127
 
6.8%
3 95
 
5.1%
0 70
 
3.8%
6 63
 
3.4%
5 63
 
3.4%
7 62
 
3.3%
9 53
 
2.8%
Other values (2) 89
 
4.8%
Latin
ValueCountFrequency (%)
A 5
29.4%
B 3
17.6%
L 2
 
11.8%
I 2
 
11.8%
H 2
 
11.8%
J 1
 
5.9%
G 1
 
5.9%
C 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3324
63.8%
ASCII 1882
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
789
41.9%
1 270
 
14.3%
- 184
 
9.8%
2 127
 
6.7%
3 95
 
5.0%
0 70
 
3.7%
6 63
 
3.3%
5 63
 
3.3%
7 62
 
3.3%
9 53
 
2.8%
Other values (10) 106
 
5.6%
Hangul
ValueCountFrequency (%)
256
 
7.7%
210
 
6.3%
202
 
6.1%
202
 
6.1%
201
 
6.0%
200
 
6.0%
200
 
6.0%
200
 
6.0%
200
 
6.0%
193
 
5.8%
Other values (176) 1260
37.9%

POP_50
Real number (ℝ)

Distinct95
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2554
Minimum0.3
Maximum48.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:17.310297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.7495
Q11.11
median1.385
Q31.88
95-th percentile16.6805
Maximum48.07
Range47.77
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation6.3520253
Coefficient of variation (CV)1.9512273
Kurtosis19.413738
Mean3.2554
Median Absolute Deviation (MAD)0.375
Skewness4.1478791
Sum651.08
Variance40.348226
MonotonicityNot monotonic
2023-12-10T15:15:17.522802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.27 8
 
4.0%
1.84 8
 
4.0%
1.01 6
 
3.0%
1.13 6
 
3.0%
1.31 5
 
2.5%
1.17 5
 
2.5%
1.2 5
 
2.5%
1.61 5
 
2.5%
1.16 5
 
2.5%
1.46 4
 
2.0%
Other values (85) 143
71.5%
ValueCountFrequency (%)
0.3 1
 
0.5%
0.4 2
1.0%
0.55 1
 
0.5%
0.58 3
1.5%
0.72 1
 
0.5%
0.73 1
 
0.5%
0.74 1
 
0.5%
0.75 1
 
0.5%
0.77 2
1.0%
0.79 1
 
0.5%
ValueCountFrequency (%)
48.07 1
0.5%
34.61 1
0.5%
33.65 1
0.5%
26.92 2
1.0%
22.49 1
0.5%
22.03 1
0.5%
20.19 2
1.0%
19.73 1
0.5%
16.52 1
0.5%
13.95 1
0.5%

POP_55
Real number (ℝ)

Distinct95
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3238
Minimum0.3
Maximum53.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:17.725586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.73
Q11.07
median1.375
Q31.9125
95-th percentile17.559
Maximum53.01
Range52.71
Interquartile range (IQR)0.8425

Descriptive statistics

Standard deviation6.9049391
Coefficient of variation (CV)2.0774231
Kurtosis21.081042
Mean3.3238
Median Absolute Deviation (MAD)0.365
Skewness4.329005
Sum664.76
Variance47.678183
MonotonicityNot monotonic
2023-12-10T15:15:17.934683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.93 8
 
4.0%
0.98 7
 
3.5%
1.13 6
 
3.0%
1.27 6
 
3.0%
1.22 6
 
3.0%
1.25 5
 
2.5%
1.07 5
 
2.5%
1.17 5
 
2.5%
1.32 5
 
2.5%
0.76 5
 
2.5%
Other values (85) 142
71.0%
ValueCountFrequency (%)
0.3 1
 
0.5%
0.4 2
 
1.0%
0.61 4
2.0%
0.64 1
 
0.5%
0.68 1
 
0.5%
0.73 2
 
1.0%
0.74 2
 
1.0%
0.76 5
2.5%
0.78 1
 
0.5%
0.79 1
 
0.5%
ValueCountFrequency (%)
53.01 1
0.5%
38.16 1
0.5%
37.1 1
0.5%
29.68 2
1.0%
23.67 1
0.5%
23.19 1
0.5%
22.26 2
1.0%
20.77 1
0.5%
17.39 1
0.5%
13.44 1
0.5%

POP_60
Real number (ℝ)

Distinct89
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0721
Minimum0.28
Maximum52.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:18.157064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.28
5-th percentile0.63
Q10.93
median1.185
Q31.6425
95-th percentile15.9835
Maximum52.26
Range51.98
Interquartile range (IQR)0.7125

Descriptive statistics

Standard deviation6.7205515
Coefficient of variation (CV)2.1876083
Kurtosis22.540884
Mean3.0721
Median Absolute Deviation (MAD)0.295
Skewness4.4733481
Sum614.42
Variance45.165813
MonotonicityNot monotonic
2023-12-10T15:15:18.400266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.14 11
 
5.5%
1.76 8
 
4.0%
0.67 7
 
3.5%
0.89 7
 
3.5%
0.93 6
 
3.0%
1.02 6
 
3.0%
1.07 5
 
2.5%
1.01 5
 
2.5%
1.1 5
 
2.5%
1.52 4
 
2.0%
Other values (79) 136
68.0%
ValueCountFrequency (%)
0.28 1
 
0.5%
0.37 2
 
1.0%
0.45 1
 
0.5%
0.53 3
1.5%
0.54 1
 
0.5%
0.6 1
 
0.5%
0.63 2
 
1.0%
0.67 7
3.5%
0.69 1
 
0.5%
0.71 1
 
0.5%
ValueCountFrequency (%)
52.26 1
0.5%
37.63 1
0.5%
36.59 1
0.5%
29.27 2
1.0%
21.95 2
1.0%
21.54 1
0.5%
21.1 1
0.5%
18.9 1
0.5%
15.83 1
0.5%
12.81 1
0.5%

POP_65
Real number (ℝ)

Distinct81
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.04715
Minimum0.2
Maximum34.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:18.607732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.42
Q10.645
median0.82
Q31.0825
95-th percentile10.3295
Maximum34.3
Range34.1
Interquartile range (IQR)0.4375

Descriptive statistics

Standard deviation4.4089531
Coefficient of variation (CV)2.153703
Kurtosis22.415976
Mean2.04715
Median Absolute Deviation (MAD)0.205
Skewness4.4537007
Sum409.43
Variance19.438868
MonotonicityNot monotonic
2023-12-10T15:15:18.796626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.14 10
 
5.0%
0.67 9
 
4.5%
0.7 8
 
4.0%
0.79 8
 
4.0%
0.81 7
 
3.5%
0.61 7
 
3.5%
0.88 7
 
3.5%
0.71 6
 
3.0%
0.59 5
 
2.5%
1.01 5
 
2.5%
Other values (71) 128
64.0%
ValueCountFrequency (%)
0.2 1
 
0.5%
0.27 2
1.0%
0.3 1
 
0.5%
0.35 3
1.5%
0.36 1
 
0.5%
0.4 1
 
0.5%
0.42 2
1.0%
0.43 1
 
0.5%
0.44 1
 
0.5%
0.45 4
2.0%
ValueCountFrequency (%)
34.3 1
0.5%
24.69 1
0.5%
24.01 1
0.5%
19.21 2
1.0%
14.41 2
1.0%
13.92 1
0.5%
13.64 1
0.5%
12.22 1
0.5%
10.23 1
0.5%
9.02 1
0.5%

POP_70
Real number (ℝ)

Distinct72
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.46355
Minimum0.16
Maximum23.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:19.000100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.16
5-th percentile0.33
Q10.48
median0.605
Q30.78
95-th percentile6.705
Maximum23.83
Range23.67
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation3.035738
Coefficient of variation (CV)2.0742291
Kurtosis22.913325
Mean1.46355
Median Absolute Deviation (MAD)0.135
Skewness4.485282
Sum292.71
Variance9.2157054
MonotonicityNot monotonic
2023-12-10T15:15:19.184159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54 23
 
11.5%
0.48 11
 
5.5%
0.74 11
 
5.5%
0.6 8
 
4.0%
0.61 8
 
4.0%
0.67 8
 
4.0%
0.65 8
 
4.0%
0.49 8
 
4.0%
0.42 7
 
3.5%
0.47 7
 
3.5%
Other values (62) 101
50.5%
ValueCountFrequency (%)
0.16 1
 
0.5%
0.22 2
1.0%
0.27 3
1.5%
0.28 1
 
0.5%
0.3 1
 
0.5%
0.32 1
 
0.5%
0.33 4
2.0%
0.34 1
 
0.5%
0.36 2
1.0%
0.37 4
2.0%
ValueCountFrequency (%)
23.83 1
0.5%
17.16 1
0.5%
16.68 1
0.5%
13.35 2
1.0%
10.01 2
1.0%
9.04 1
0.5%
8.86 1
0.5%
7.94 1
0.5%
6.64 1
0.5%
6.16 1
0.5%

POP_75
Real number (ℝ)

Distinct69
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9532
Minimum0.12
Maximum15.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:19.376511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.23
Q10.32
median0.4
Q30.5025
95-th percentile4.3625
Maximum15.81
Range15.69
Interquartile range (IQR)0.1825

Descriptive statistics

Standard deviation1.9835116
Coefficient of variation (CV)2.0808976
Kurtosis24.462753
Mean0.9532
Median Absolute Deviation (MAD)0.08
Skewness4.630983
Sum190.64
Variance3.9343184
MonotonicityNot monotonic
2023-12-10T15:15:19.579189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.36 14
 
7.0%
0.32 11
 
5.5%
0.43 11
 
5.5%
0.37 10
 
5.0%
0.45 9
 
4.5%
0.35 9
 
4.5%
0.27 9
 
4.5%
0.41 7
 
3.5%
0.33 7
 
3.5%
0.31 6
 
3.0%
Other values (59) 107
53.5%
ValueCountFrequency (%)
0.12 1
 
0.5%
0.15 2
 
1.0%
0.18 3
 
1.5%
0.19 2
 
1.0%
0.2 1
 
0.5%
0.23 3
 
1.5%
0.24 3
 
1.5%
0.25 1
 
0.5%
0.27 9
4.5%
0.29 6
3.0%
ValueCountFrequency (%)
15.81 1
0.5%
11.39 1
0.5%
11.07 1
0.5%
8.86 2
1.0%
6.64 2
1.0%
5.24 1
0.5%
5.13 1
0.5%
4.6 1
0.5%
4.35 1
0.5%
4.0 1
0.5%

POP_80_OVER
Real number (ℝ)

Distinct69
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.06305
Minimum0.11
Maximum20.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:19.786603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.2
Q10.3
median0.38
Q30.5225
95-th percentile4.9475
Maximum20.27
Range20.16
Interquartile range (IQR)0.2225

Descriptive statistics

Standard deviation2.5299407
Coefficient of variation (CV)2.3798888
Kurtosis26.124825
Mean1.06305
Median Absolute Deviation (MAD)0.1
Skewness4.8197575
Sum212.61
Variance6.4006002
MonotonicityNot monotonic
2023-12-10T15:15:20.004754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.33 15
 
7.5%
0.3 10
 
5.0%
0.48 10
 
5.0%
0.41 9
 
4.5%
0.54 9
 
4.5%
0.32 8
 
4.0%
0.35 7
 
3.5%
0.37 6
 
3.0%
0.4 6
 
3.0%
0.26 5
 
2.5%
Other values (59) 115
57.5%
ValueCountFrequency (%)
0.11 1
 
0.5%
0.15 3
1.5%
0.16 3
1.5%
0.18 1
 
0.5%
0.19 1
 
0.5%
0.2 2
 
1.0%
0.21 2
 
1.0%
0.22 2
 
1.0%
0.23 1
 
0.5%
0.24 5
2.5%
ValueCountFrequency (%)
20.27 1
0.5%
14.59 1
0.5%
14.19 1
0.5%
11.35 2
1.0%
8.51 2
1.0%
6.67 1
0.5%
6.53 1
0.5%
5.85 1
0.5%
4.9 1
0.5%
4.26 1
0.5%

POP_M
Real number (ℝ)

Distinct104
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.60005
Minimum2.28
Maximum306.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:20.261684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.28
5-th percentile4.7895
Q17.3
median8.9
Q311.51
95-th percentile101.048
Maximum306.98
Range304.7
Interquartile range (IQR)4.21

Descriptive statistics

Standard deviation40.135475
Coefficient of variation (CV)1.9483193
Kurtosis20.139346
Mean20.60005
Median Absolute Deviation (MAD)2.02
Skewness4.2112148
Sum4120.01
Variance1610.8564
MonotonicityNot monotonic
2023-12-10T15:15:20.498880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.88 8
 
4.0%
7.3 6
 
3.0%
8.21 6
 
3.0%
7.66 5
 
2.5%
8.52 5
 
2.5%
7.57 5
 
2.5%
7.78 5
 
2.5%
9.12 5
 
2.5%
6.7 5
 
2.5%
9.52 4
 
2.0%
Other values (94) 146
73.0%
ValueCountFrequency (%)
2.28 1
 
0.5%
3.04 2
1.0%
3.35 1
 
0.5%
3.83 3
1.5%
4.66 1
 
0.5%
4.73 1
 
0.5%
4.78 1
 
0.5%
4.79 1
 
0.5%
4.86 1
 
0.5%
5.34 2
1.0%
ValueCountFrequency (%)
306.98 1
0.5%
221.02 1
0.5%
214.88 1
0.5%
171.91 2
1.0%
133.29 1
0.5%
130.57 1
0.5%
128.93 2
1.0%
116.97 1
0.5%
100.21 1
0.5%
97.93 1
0.5%

POP_M_00
Real number (ℝ)

Distinct57
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.777
Minimum0.04
Maximum14.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:20.695103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.13
Q10.2
median0.27
Q30.3825
95-th percentile4.8075
Maximum14.07
Range14.03
Interquartile range (IQR)0.1825

Descriptive statistics

Standard deviation1.8317521
Coefficient of variation (CV)2.3574672
Kurtosis21.913026
Mean0.777
Median Absolute Deviation (MAD)0.08
Skewness4.4267808
Sum155.4
Variance3.3553156
MonotonicityNot monotonic
2023-12-10T15:15:20.905293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.17 13
 
6.5%
0.23 12
 
6.0%
0.44 10
 
5.0%
0.13 10
 
5.0%
0.26 10
 
5.0%
0.22 10
 
5.0%
0.28 9
 
4.5%
0.33 8
 
4.0%
0.24 8
 
4.0%
0.39 7
 
3.5%
Other values (47) 103
51.5%
ValueCountFrequency (%)
0.04 1
 
0.5%
0.06 2
 
1.0%
0.08 1
 
0.5%
0.1 2
 
1.0%
0.11 2
 
1.0%
0.13 10
5.0%
0.14 3
 
1.5%
0.15 2
 
1.0%
0.16 4
 
2.0%
0.17 13
6.5%
ValueCountFrequency (%)
14.07 1
0.5%
10.13 1
0.5%
9.85 1
0.5%
7.88 2
1.0%
5.92 1
0.5%
5.91 2
1.0%
5.44 1
0.5%
5.33 1
0.5%
4.78 1
0.5%
4.0 1
0.5%

POP_M_05
Real number (ℝ)

Distinct61
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8129
Minimum0.04
Maximum13.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:21.119184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.11
Q10.19
median0.26
Q30.4025
95-th percentile5.67
Maximum13.51
Range13.47
Interquartile range (IQR)0.2125

Descriptive statistics

Standard deviation1.916827
Coefficient of variation (CV)2.3580108
Kurtosis16.89841
Mean0.8129
Median Absolute Deviation (MAD)0.09
Skewness3.9899833
Sum162.58
Variance3.6742257
MonotonicityNot monotonic
2023-12-10T15:15:21.338590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19 12
 
6.0%
0.21 12
 
6.0%
0.26 9
 
4.5%
0.2 9
 
4.5%
0.53 8
 
4.0%
0.17 8
 
4.0%
0.23 8
 
4.0%
0.28 7
 
3.5%
0.27 7
 
3.5%
0.25 6
 
3.0%
Other values (51) 114
57.0%
ValueCountFrequency (%)
0.04 1
 
0.5%
0.06 2
 
1.0%
0.09 1
 
0.5%
0.1 5
2.5%
0.11 5
2.5%
0.12 6
3.0%
0.13 4
2.0%
0.14 3
1.5%
0.15 2
 
1.0%
0.16 6
3.0%
ValueCountFrequency (%)
13.51 1
0.5%
9.73 1
0.5%
9.46 1
0.5%
9.29 1
0.5%
7.57 2
1.0%
6.44 1
0.5%
6.31 1
0.5%
6.19 1
0.5%
5.67 2
1.0%
5.65 1
0.5%

ROAD_ADDR
Text

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:21.887661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length25.93
Min length17

Characters and Unicode

Total characters5186
Distinct characters217
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 풍성로25나길 18 삼성월드빌
2nd row서울특별시 송파구 바람드리20길 8 담터그린빌
3rd row서울특별시 송파구 풍성로25다길 8
4th row서울특별시 송파구 백제고분로22길 4-14 양지주택
5th row서울특별시 송파구 백제고분로22길 8-14 유로빌라 A동
ValueCountFrequency (%)
서울특별시 200
 
20.2%
송파구 133
 
13.4%
강남구 67
 
6.8%
1동 16
 
1.6%
백제고분로18길 12
 
1.2%
백제고분로22길 10
 
1.0%
28 7
 
0.7%
9 7
 
0.7%
석촌호수로18길 6
 
0.6%
25 6
 
0.6%
Other values (385) 525
53.1%
2023-12-10T15:15:22.680349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
789
 
15.2%
1 256
 
4.9%
203
 
3.9%
202
 
3.9%
202
 
3.9%
201
 
3.9%
201
 
3.9%
200
 
3.9%
200
 
3.9%
191
 
3.7%
Other values (207) 2541
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3310
63.8%
Decimal Number 975
 
18.8%
Space Separator 789
 
15.2%
Dash Punctuation 95
 
1.8%
Uppercase Letter 17
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
203
 
6.1%
202
 
6.1%
202
 
6.1%
201
 
6.1%
201
 
6.1%
200
 
6.0%
200
 
6.0%
191
 
5.8%
163
 
4.9%
151
 
4.6%
Other values (187) 1396
42.2%
Decimal Number
ValueCountFrequency (%)
1 256
26.3%
2 158
16.2%
3 134
13.7%
4 85
 
8.7%
6 73
 
7.5%
8 66
 
6.8%
0 66
 
6.8%
7 55
 
5.6%
5 51
 
5.2%
9 31
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 5
29.4%
B 3
17.6%
L 2
 
11.8%
I 2
 
11.8%
H 2
 
11.8%
J 1
 
5.9%
C 1
 
5.9%
G 1
 
5.9%
Space Separator
ValueCountFrequency (%)
789
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3310
63.8%
Common 1859
35.8%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
203
 
6.1%
202
 
6.1%
202
 
6.1%
201
 
6.1%
201
 
6.1%
200
 
6.0%
200
 
6.0%
191
 
5.8%
163
 
4.9%
151
 
4.6%
Other values (187) 1396
42.2%
Common
ValueCountFrequency (%)
789
42.4%
1 256
 
13.8%
2 158
 
8.5%
3 134
 
7.2%
- 95
 
5.1%
4 85
 
4.6%
6 73
 
3.9%
8 66
 
3.6%
0 66
 
3.6%
7 55
 
3.0%
Other values (2) 82
 
4.4%
Latin
ValueCountFrequency (%)
A 5
29.4%
B 3
17.6%
L 2
 
11.8%
I 2
 
11.8%
H 2
 
11.8%
J 1
 
5.9%
C 1
 
5.9%
G 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3310
63.8%
ASCII 1876
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
789
42.1%
1 256
 
13.6%
2 158
 
8.4%
3 134
 
7.1%
- 95
 
5.1%
4 85
 
4.5%
6 73
 
3.9%
8 66
 
3.5%
0 66
 
3.5%
7 55
 
2.9%
Other values (10) 99
 
5.3%
Hangul
ValueCountFrequency (%)
203
 
6.1%
202
 
6.1%
202
 
6.1%
201
 
6.1%
201
 
6.1%
200
 
6.0%
200
 
6.0%
191
 
5.8%
163
 
4.9%
151
 
4.6%
Other values (187) 1396
42.2%

POP_M_10
Real number (ℝ)

Distinct64
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8874
Minimum0.04
Maximum16.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:22.927868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.11
Q10.2
median0.27
Q30.46
95-th percentile5.341
Maximum16.74
Range16.7
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation2.1560993
Coefficient of variation (CV)2.4296814
Kurtosis22.986905
Mean0.8874
Median Absolute Deviation (MAD)0.11
Skewness4.5173777
Sum177.48
Variance4.6487641
MonotonicityNot monotonic
2023-12-10T15:15:23.161074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25 18
 
9.0%
0.19 11
 
5.5%
0.2 10
 
5.0%
0.22 9
 
4.5%
0.11 9
 
4.5%
0.29 9
 
4.5%
0.49 8
 
4.0%
0.27 7
 
3.5%
0.15 6
 
3.0%
0.32 5
 
2.5%
Other values (54) 108
54.0%
ValueCountFrequency (%)
0.04 1
 
0.5%
0.05 2
 
1.0%
0.1 1
 
0.5%
0.11 9
4.5%
0.12 4
 
2.0%
0.13 4
 
2.0%
0.15 6
3.0%
0.16 5
2.5%
0.18 4
 
2.0%
0.19 11
5.5%
ValueCountFrequency (%)
16.74 1
0.5%
12.05 1
0.5%
11.72 1
0.5%
9.37 2
1.0%
7.03 2
1.0%
6.25 1
0.5%
6.06 1
0.5%
5.93 1
0.5%
5.31 1
0.5%
4.45 1
0.5%

POP_M_15
Real number (ℝ)

Distinct75
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.09095
Minimum0.06
Maximum16.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:23.386216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.18
Q10.29
median0.39
Q30.65
95-th percentile6.9845
Maximum16.85
Range16.79
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation2.2662103
Coefficient of variation (CV)2.0772815
Kurtosis18.542493
Mean1.09095
Median Absolute Deviation (MAD)0.13
Skewness4.0713461
Sum218.19
Variance5.1357091
MonotonicityNot monotonic
2023-12-10T15:15:23.603982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.36 10
 
5.0%
0.32 9
 
4.5%
0.28 9
 
4.5%
0.29 8
 
4.0%
0.66 8
 
4.0%
0.33 7
 
3.5%
0.39 6
 
3.0%
0.24 6
 
3.0%
0.4 6
 
3.0%
0.31 5
 
2.5%
Other values (65) 126
63.0%
ValueCountFrequency (%)
0.06 1
 
0.5%
0.08 2
 
1.0%
0.14 1
 
0.5%
0.16 4
2.0%
0.18 4
2.0%
0.19 2
 
1.0%
0.2 1
 
0.5%
0.21 5
2.5%
0.22 1
 
0.5%
0.23 2
 
1.0%
ValueCountFrequency (%)
16.85 1
0.5%
12.13 1
0.5%
11.8 1
0.5%
9.44 2
1.0%
8.06 1
0.5%
7.89 1
0.5%
7.08 2
1.0%
7.07 1
0.5%
6.98 1
0.5%
5.92 1
0.5%

POP_M_20
Real number (ℝ)

Distinct81
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2955
Minimum0.13
Maximum18.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:24.190681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.13
5-th percentile0.3195
Q10.46
median0.55
Q30.785
95-th percentile6.679
Maximum18.11
Range17.98
Interquartile range (IQR)0.325

Descriptive statistics

Standard deviation2.4274152
Coefficient of variation (CV)1.8737284
Kurtosis18.145864
Mean1.2955
Median Absolute Deviation (MAD)0.15
Skewness4.0222316
Sum259.1
Variance5.8923445
MonotonicityNot monotonic
2023-12-10T15:15:24.446470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.47 12
 
6.0%
0.55 11
 
5.5%
0.53 10
 
5.0%
0.74 8
 
4.0%
0.64 8
 
4.0%
0.43 7
 
3.5%
0.59 6
 
3.0%
0.4 6
 
3.0%
0.36 6
 
3.0%
0.46 5
 
2.5%
Other values (71) 121
60.5%
ValueCountFrequency (%)
0.13 1
 
0.5%
0.17 2
1.0%
0.21 1
 
0.5%
0.23 3
1.5%
0.29 1
 
0.5%
0.3 1
 
0.5%
0.31 1
 
0.5%
0.32 3
1.5%
0.34 1
 
0.5%
0.35 3
1.5%
ValueCountFrequency (%)
18.11 1
0.5%
13.04 1
0.5%
12.68 1
0.5%
10.14 2
1.0%
9.03 1
0.5%
8.85 1
0.5%
7.92 1
0.5%
7.61 2
1.0%
6.63 1
0.5%
5.65 1
0.5%

POP_M_25
Real number (ℝ)

Distinct85
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7607
Minimum0.25
Maximum21.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:24.681035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.4585
Q10.73
median0.91
Q31.2
95-th percentile8.9765
Maximum21.68
Range21.43
Interquartile range (IQR)0.47

Descriptive statistics

Standard deviation2.9107811
Coefficient of variation (CV)1.6531954
Kurtosis17.294348
Mean1.7607
Median Absolute Deviation (MAD)0.22
Skewness3.9372077
Sum352.14
Variance8.4726467
MonotonicityNot monotonic
2023-12-10T15:15:24.905121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.83 14
 
7.0%
0.86 10
 
5.0%
0.77 7
 
3.5%
0.91 7
 
3.5%
0.68 6
 
3.0%
0.73 6
 
3.0%
0.92 6
 
3.0%
0.78 6
 
3.0%
0.94 5
 
2.5%
0.67 5
 
2.5%
Other values (75) 128
64.0%
ValueCountFrequency (%)
0.25 1
 
0.5%
0.31 1
 
0.5%
0.36 1
 
0.5%
0.39 3
1.5%
0.41 2
1.0%
0.42 1
 
0.5%
0.43 1
 
0.5%
0.46 1
 
0.5%
0.49 1
 
0.5%
0.51 2
1.0%
ValueCountFrequency (%)
21.68 1
0.5%
15.61 1
0.5%
15.17 1
0.5%
12.14 2
1.0%
11.61 1
0.5%
10.22 1
0.5%
10.01 1
0.5%
9.1 2
1.0%
8.97 1
0.5%
8.65 1
0.5%

POP_M_30
Real number (ℝ)

Distinct79
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.71175
Minimum0.27
Maximum19.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:25.147605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.27
5-th percentile0.469
Q10.72
median0.92
Q31.29
95-th percentile8.25
Maximum19.64
Range19.37
Interquartile range (IQR)0.57

Descriptive statistics

Standard deviation2.629081
Coefficient of variation (CV)1.5359024
Kurtosis17.124071
Mean1.71175
Median Absolute Deviation (MAD)0.22
Skewness3.9116217
Sum342.35
Variance6.9120668
MonotonicityNot monotonic
2023-12-10T15:15:25.367699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72 12
 
6.0%
0.82 8
 
4.0%
0.86 8
 
4.0%
0.88 8
 
4.0%
0.7 7
 
3.5%
1.21 6
 
3.0%
0.99 6
 
3.0%
0.92 6
 
3.0%
0.94 6
 
3.0%
0.97 6
 
3.0%
Other values (69) 127
63.5%
ValueCountFrequency (%)
0.27 1
 
0.5%
0.3 1
 
0.5%
0.35 1
 
0.5%
0.39 1
 
0.5%
0.4 2
1.0%
0.44 3
1.5%
0.45 1
 
0.5%
0.47 1
 
0.5%
0.52 2
1.0%
0.53 2
1.0%
ValueCountFrequency (%)
19.64 1
0.5%
14.14 1
0.5%
13.75 1
0.5%
11.4 1
0.5%
11.0 2
1.0%
9.22 1
0.5%
8.78 1
0.5%
8.6 1
0.5%
8.25 2
1.0%
7.7 1
0.5%

POP_M_35
Real number (ℝ)

Distinct83
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.88205
Minimum0.27
Maximum24.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:25.596448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.27
5-th percentile0.45
Q10.77
median0.9
Q31.21
95-th percentile9.7195
Maximum24.02
Range23.75
Interquartile range (IQR)0.44

Descriptive statistics

Standard deviation3.2172414
Coefficient of variation (CV)1.7094346
Kurtosis17.373658
Mean1.88205
Median Absolute Deviation (MAD)0.18
Skewness3.9264224
Sum376.41
Variance10.350643
MonotonicityNot monotonic
2023-12-10T15:15:25.857230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.83 18
 
9.0%
0.68 10
 
5.0%
0.9 9
 
4.5%
0.72 8
 
4.0%
0.88 6
 
3.0%
0.78 6
 
3.0%
0.79 6
 
3.0%
1.04 6
 
3.0%
0.97 6
 
3.0%
0.94 5
 
2.5%
Other values (73) 120
60.0%
ValueCountFrequency (%)
0.27 1
 
0.5%
0.28 1
 
0.5%
0.38 3
1.5%
0.4 1
 
0.5%
0.41 3
1.5%
0.45 2
1.0%
0.52 3
1.5%
0.58 3
1.5%
0.59 2
1.0%
0.62 2
1.0%
ValueCountFrequency (%)
24.02 1
0.5%
17.29 1
0.5%
16.81 1
0.5%
13.45 2
1.0%
11.06 1
0.5%
10.83 1
0.5%
10.71 1
0.5%
10.09 2
1.0%
9.7 1
0.5%
9.15 1
0.5%

POP_M_40
Real number (ℝ)

Distinct80
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5772
Minimum0.2
Maximum21.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:26.124930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.369
Q10.585
median0.7
Q30.9125
95-th percentile8.4795
Maximum21.53
Range21.33
Interquartile range (IQR)0.3275

Descriptive statistics

Standard deviation2.9053486
Coefficient of variation (CV)1.8420927
Kurtosis17.408646
Mean1.5772
Median Absolute Deviation (MAD)0.14
Skewness3.9413707
Sum315.44
Variance8.4410504
MonotonicityNot monotonic
2023-12-10T15:15:26.375157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 12
 
6.0%
0.65 8
 
4.0%
0.79 8
 
4.0%
0.49 7
 
3.5%
0.82 7
 
3.5%
0.69 7
 
3.5%
0.56 6
 
3.0%
0.63 6
 
3.0%
0.8 5
 
2.5%
0.52 5
 
2.5%
Other values (70) 129
64.5%
ValueCountFrequency (%)
0.2 1
 
0.5%
0.23 1
 
0.5%
0.27 2
1.0%
0.3 3
1.5%
0.35 3
1.5%
0.37 1
 
0.5%
0.39 1
 
0.5%
0.41 1
 
0.5%
0.42 3
1.5%
0.45 1
 
0.5%
ValueCountFrequency (%)
21.53 1
0.5%
15.5 1
0.5%
15.07 1
0.5%
12.06 2
1.0%
10.79 1
0.5%
9.63 1
0.5%
9.43 1
0.5%
9.04 2
1.0%
8.45 1
0.5%
7.55 1
0.5%

POP_M_45
Real number (ℝ)

Distinct85
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6729
Minimum0.19
Maximum23.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:26.611468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.4
Q10.6075
median0.72
Q31.03
95-th percentile8.858
Maximum23.61
Range23.42
Interquartile range (IQR)0.4225

Descriptive statistics

Standard deviation3.1208977
Coefficient of variation (CV)1.8655614
Kurtosis18.829274
Mean1.6729
Median Absolute Deviation (MAD)0.17
Skewness4.0640717
Sum334.58
Variance9.7400026
MonotonicityNot monotonic
2023-12-10T15:15:26.824598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.53 15
 
7.5%
0.61 12
 
6.0%
0.63 8
 
4.0%
0.82 8
 
4.0%
0.55 7
 
3.5%
0.76 7
 
3.5%
1.03 6
 
3.0%
0.79 6
 
3.0%
0.62 6
 
3.0%
0.72 6
 
3.0%
Other values (75) 119
59.5%
ValueCountFrequency (%)
0.19 1
 
0.5%
0.26 3
1.5%
0.3 3
1.5%
0.33 1
 
0.5%
0.38 1
 
0.5%
0.4 2
1.0%
0.41 1
 
0.5%
0.44 1
 
0.5%
0.45 1
 
0.5%
0.46 1
 
0.5%
ValueCountFrequency (%)
23.61 1
0.5%
17.0 1
0.5%
16.53 1
0.5%
13.22 2
1.0%
10.07 1
0.5%
9.92 2
1.0%
9.86 1
0.5%
9.2 1
0.5%
8.84 1
0.5%
7.67 1
0.5%

POP_M_50
Real number (ℝ)

Distinct78
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.54085
Minimum0.14
Maximum21.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:27.071531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.369
Q10.53
median0.66
Q30.9
95-th percentile7.964
Maximum21.86
Range21.72
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation2.9288852
Coefficient of variation (CV)1.9008244
Kurtosis18.220402
Mean1.54085
Median Absolute Deviation (MAD)0.18
Skewness4.0279381
Sum308.17
Variance8.5783686
MonotonicityNot monotonic
2023-12-10T15:15:27.304417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.62 10
 
5.0%
0.6 9
 
4.5%
0.66 8
 
4.0%
0.88 8
 
4.0%
0.77 7
 
3.5%
0.55 6
 
3.0%
0.53 6
 
3.0%
0.56 6
 
3.0%
0.49 5
 
2.5%
0.54 5
 
2.5%
Other values (68) 130
65.0%
ValueCountFrequency (%)
0.14 1
 
0.5%
0.19 2
1.0%
0.27 1
 
0.5%
0.28 3
1.5%
0.34 1
 
0.5%
0.35 2
1.0%
0.37 2
1.0%
0.38 1
 
0.5%
0.4 3
1.5%
0.41 2
1.0%
ValueCountFrequency (%)
21.86 1
0.5%
15.74 1
0.5%
15.3 1
0.5%
12.24 2
1.0%
10.75 1
0.5%
10.53 1
0.5%
9.43 1
0.5%
9.18 2
1.0%
7.9 1
0.5%
7.03 1
0.5%

POP_M_55
Real number (ℝ)

Distinct74
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.58055
Minimum0.15
Maximum25.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:27.526043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.359
Q10.51
median0.655
Q30.88
95-th percentile8.2295
Maximum25.58
Range25.43
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation3.3143416
Coefficient of variation (CV)2.0969546
Kurtosis21.570784
Mean1.58055
Median Absolute Deviation (MAD)0.16
Skewness4.3744734
Sum316.11
Variance10.98486
MonotonicityNot monotonic
2023-12-10T15:15:27.743946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.59 11
 
5.5%
0.66 10
 
5.0%
0.91 8
 
4.0%
0.57 8
 
4.0%
0.51 8
 
4.0%
0.46 7
 
3.5%
0.58 7
 
3.5%
0.73 7
 
3.5%
0.79 6
 
3.0%
0.72 6
 
3.0%
Other values (64) 122
61.0%
ValueCountFrequency (%)
0.15 1
 
0.5%
0.19 2
 
1.0%
0.29 3
1.5%
0.3 2
 
1.0%
0.33 1
 
0.5%
0.34 1
 
0.5%
0.36 5
2.5%
0.38 5
2.5%
0.39 2
 
1.0%
0.4 1
 
0.5%
ValueCountFrequency (%)
25.58 1
0.5%
18.41 1
0.5%
17.9 1
0.5%
14.32 2
1.0%
11.1 1
0.5%
10.87 1
0.5%
10.74 2
1.0%
9.74 1
0.5%
8.15 1
0.5%
6.28 1
0.5%

ADMI_CD
Real number (ℝ)

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11700557
Minimum11680510
Maximum11710710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:27.929715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11680510
5-th percentile11680521
Q111680640
median11710590
Q311710610
95-th percentile11710650
Maximum11710710
Range30200
Interquartile range (IQR)29970

Descriptive statistics

Standard deviation14203.44
Coefficient of variation (CV)0.0012139115
Kurtosis-1.5189582
Mean11700557
Median Absolute Deviation (MAD)60
Skewness-0.70447032
Sum2.3401113 × 109
Variance2.0173772 × 108
MonotonicityNot monotonic
2023-12-10T15:15:28.134868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
11710600 28
14.0%
11710610 26
13.0%
11710650 26
13.0%
11710590 24
12.0%
11710580 17
8.5%
11680531 14
7.0%
11680521 14
7.0%
11680630 14
7.0%
11680690 12
6.0%
11680640 11
 
5.5%
Other values (4) 14
7.0%
ValueCountFrequency (%)
11680510 2
 
1.0%
11680521 14
7.0%
11680531 14
7.0%
11680630 14
7.0%
11680640 11
 
5.5%
11680690 12
6.0%
11710510 3
 
1.5%
11710580 17
8.5%
11710590 24
12.0%
11710600 28
14.0%
ValueCountFrequency (%)
11710710 7
 
3.5%
11710690 2
 
1.0%
11710650 26
13.0%
11710610 26
13.0%
11710600 28
14.0%
11710590 24
12.0%
11710580 17
8.5%
11710510 3
 
1.5%
11680690 12
6.0%
11680640 11
 
5.5%

POP_M_60
Real number (ℝ)

Distinct74
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.43355
Minimum0.13
Maximum24.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:28.365527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.13
5-th percentile0.29
Q10.44
median0.55
Q30.7625
95-th percentile7.401
Maximum24.8
Range24.67
Interquartile range (IQR)0.3225

Descriptive statistics

Standard deviation3.175809
Coefficient of variation (CV)2.2153458
Kurtosis23.010432
Mean1.43355
Median Absolute Deviation (MAD)0.14
Skewness4.5196277
Sum286.71
Variance10.085763
MonotonicityNot monotonic
2023-12-10T15:15:28.592208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.61 9
 
4.5%
0.48 9
 
4.5%
0.38 8
 
4.0%
0.81 8
 
4.0%
0.33 7
 
3.5%
0.49 7
 
3.5%
0.43 6
 
3.0%
0.54 6
 
3.0%
0.58 6
 
3.0%
0.51 6
 
3.0%
Other values (64) 128
64.0%
ValueCountFrequency (%)
0.13 1
 
0.5%
0.17 2
 
1.0%
0.21 1
 
0.5%
0.24 3
1.5%
0.26 1
 
0.5%
0.29 4
2.0%
0.3 1
 
0.5%
0.31 1
 
0.5%
0.32 1
 
0.5%
0.33 7
3.5%
ValueCountFrequency (%)
24.8 1
0.5%
17.85 1
0.5%
17.36 1
0.5%
13.89 2
1.0%
10.41 2
1.0%
9.98 1
0.5%
9.77 1
0.5%
8.75 1
0.5%
7.33 1
0.5%
5.97 1
0.5%

POP_M_65
Real number (ℝ)

Distinct66
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9947
Minimum0.09
Maximum17.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:28.803164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.1995
Q10.2975
median0.38
Q30.5
95-th percentile5.19
Maximum17.56
Range17.47
Interquartile range (IQR)0.2025

Descriptive statistics

Standard deviation2.2473728
Coefficient of variation (CV)2.2593473
Kurtosis23.197585
Mean0.9947
Median Absolute Deviation (MAD)0.11
Skewness4.5400824
Sum198.94
Variance5.0506843
MonotonicityNot monotonic
2023-12-10T15:15:29.032389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27 13
 
6.5%
0.43 12
 
6.0%
0.31 11
 
5.5%
0.34 11
 
5.5%
0.35 11
 
5.5%
0.38 10
 
5.0%
0.57 9
 
4.5%
0.5 9
 
4.5%
0.47 8
 
4.0%
0.3 8
 
4.0%
Other values (56) 98
49.0%
ValueCountFrequency (%)
0.09 1
 
0.5%
0.12 3
1.5%
0.15 1
 
0.5%
0.17 3
1.5%
0.18 1
 
0.5%
0.19 1
 
0.5%
0.2 1
 
0.5%
0.21 6
3.0%
0.22 3
1.5%
0.23 4
2.0%
ValueCountFrequency (%)
17.56 1
0.5%
12.64 1
0.5%
12.29 1
0.5%
9.83 2
1.0%
7.37 2
1.0%
7.0 1
0.5%
6.86 1
0.5%
6.14 1
0.5%
5.14 1
0.5%
4.29 1
0.5%

POP_M_70
Real number (ℝ)

Distinct57
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71715
Minimum0.08
Maximum11.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:29.229721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.15
Q10.23
median0.29
Q30.3825
95-th percentile3.686
Maximum11.58
Range11.5
Interquartile range (IQR)0.1525

Descriptive statistics

Standard deviation1.5052292
Coefficient of variation (CV)2.0989043
Kurtosis21.252591
Mean0.71715
Median Absolute Deviation (MAD)0.07
Skewness4.3372134
Sum143.43
Variance2.265715
MonotonicityNot monotonic
2023-12-10T15:15:29.453564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.23 20
 
10.0%
0.26 17
 
8.5%
0.21 12
 
6.0%
0.41 11
 
5.5%
0.3 11
 
5.5%
0.38 8
 
4.0%
0.29 8
 
4.0%
0.32 7
 
3.5%
0.36 7
 
3.5%
0.35 6
 
3.0%
Other values (47) 93
46.5%
ValueCountFrequency (%)
0.08 1
 
0.5%
0.1 2
 
1.0%
0.12 4
2.0%
0.14 1
 
0.5%
0.15 5
2.5%
0.16 1
 
0.5%
0.17 5
2.5%
0.18 2
 
1.0%
0.19 2
 
1.0%
0.2 5
2.5%
ValueCountFrequency (%)
11.58 1
0.5%
8.34 1
0.5%
8.11 1
0.5%
6.49 2
1.0%
4.97 1
0.5%
4.87 1
0.5%
4.86 2
1.0%
4.37 1
0.5%
3.65 1
0.5%
3.15 1
0.5%

POP_M_75
Real number (ℝ)

Distinct52
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45995
Minimum0.06
Maximum7.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:30.028589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.11
Q10.15
median0.19
Q30.24
95-th percentile2.2005
Maximum7.65
Range7.59
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.95816119
Coefficient of variation (CV)2.0831855
Kurtosis24.616089
Mean0.45995
Median Absolute Deviation (MAD)0.04
Skewness4.6453092
Sum91.99
Variance0.91807286
MonotonicityNot monotonic
2023-12-10T15:15:30.270095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.18 22
 
11.0%
0.15 16
 
8.0%
0.2 13
 
6.5%
0.22 12
 
6.0%
0.14 12
 
6.0%
0.19 11
 
5.5%
0.24 11
 
5.5%
0.13 10
 
5.0%
0.16 10
 
5.0%
0.17 8
 
4.0%
Other values (42) 75
37.5%
ValueCountFrequency (%)
0.06 1
 
0.5%
0.08 2
 
1.0%
0.09 5
 
2.5%
0.1 1
 
0.5%
0.11 3
 
1.5%
0.12 4
 
2.0%
0.13 10
5.0%
0.14 12
6.0%
0.15 16
8.0%
0.16 10
5.0%
ValueCountFrequency (%)
7.65 1
0.5%
5.51 1
0.5%
5.35 1
0.5%
4.28 2
1.0%
3.21 2
1.0%
2.51 1
0.5%
2.46 1
0.5%
2.21 1
0.5%
2.2 1
0.5%
1.85 1
0.5%

POP_M_80_OVER
Real number (ℝ)

Distinct45
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4048
Minimum0.04
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:30.460052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.0795
Q10.11
median0.14
Q30.19
95-th percentile1.693
Maximum8.2
Range8.16
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation1.0072316
Coefficient of variation (CV)2.4882204
Kurtosis28.360102
Mean0.4048
Median Absolute Deviation (MAD)0.04
Skewness5.0384084
Sum80.96
Variance1.0145155
MonotonicityNot monotonic
2023-12-10T15:15:30.700259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.13 23
 
11.5%
0.11 17
 
8.5%
0.14 15
 
7.5%
0.1 15
 
7.5%
0.18 13
 
6.5%
0.15 13
 
6.5%
0.16 13
 
6.5%
0.12 12
 
6.0%
0.08 8
 
4.0%
0.09 7
 
3.5%
Other values (35) 64
32.0%
ValueCountFrequency (%)
0.04 1
 
0.5%
0.06 7
 
3.5%
0.07 2
 
1.0%
0.08 8
 
4.0%
0.09 7
 
3.5%
0.1 15
7.5%
0.11 17
8.5%
0.12 12
6.0%
0.13 23
11.5%
0.14 15
7.5%
ValueCountFrequency (%)
8.2 1
0.5%
5.91 1
0.5%
5.74 1
0.5%
4.59 2
1.0%
3.45 2
1.0%
2.21 1
0.5%
2.17 1
0.5%
1.94 1
0.5%
1.68 1
0.5%
1.63 1
0.5%

POP_W
Real number (ℝ)

Distinct104
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5426
Minimum2.63
Maximum336.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:30.901165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.63
5-th percentile5.3045
Q18.13
median9.82
Q312.535
95-th percentile108.326
Maximum336.27
Range333.64
Interquartile range (IQR)4.405

Descriptive statistics

Standard deviation43.834436
Coefficient of variation (CV)1.9445155
Kurtosis20.343517
Mean22.5426
Median Absolute Deviation (MAD)2.18
Skewness4.2279853
Sum4508.52
Variance1921.4578
MonotonicityNot monotonic
2023-12-10T15:15:31.070316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.66 8
 
4.0%
9.14 6
 
3.0%
8.13 6
 
3.0%
9.35 5
 
2.5%
8.28 5
 
2.5%
8.73 5
 
2.5%
7.25 5
 
2.5%
8.31 5
 
2.5%
7.1 4
 
2.0%
10.2 4
 
2.0%
Other values (94) 147
73.5%
ValueCountFrequency (%)
2.63 1
 
0.5%
3.4 1
 
0.5%
3.51 2
1.0%
4.14 3
1.5%
4.82 1
 
0.5%
5.18 1
 
0.5%
5.2 1
 
0.5%
5.31 1
 
0.5%
5.46 1
 
0.5%
5.67 1
 
0.5%
ValueCountFrequency (%)
336.27 1
0.5%
242.11 1
0.5%
235.39 1
0.5%
188.31 2
1.0%
142.84 1
0.5%
141.23 2
1.0%
139.93 1
0.5%
125.35 1
0.5%
107.43 1
0.5%
104.95 1
0.5%

POP_W_00
Real number (ℝ)

Distinct58
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71475
Minimum0.05
Maximum12.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:31.248512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.12
Q10.19
median0.24
Q30.35
95-th percentile4.335
Maximum12.95
Range12.9
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation1.6872573
Coefficient of variation (CV)2.3606258
Kurtosis21.884158
Mean0.71475
Median Absolute Deviation (MAD)0.07
Skewness4.4251948
Sum142.95
Variance2.8468371
MonotonicityNot monotonic
2023-12-10T15:15:31.484246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.22 13
 
6.5%
0.19 13
 
6.5%
0.24 9
 
4.5%
0.35 9
 
4.5%
0.12 9
 
4.5%
0.23 8
 
4.0%
0.27 8
 
4.0%
0.4 8
 
4.0%
0.26 8
 
4.0%
0.29 8
 
4.0%
Other values (48) 107
53.5%
ValueCountFrequency (%)
0.05 1
 
0.5%
0.06 2
 
1.0%
0.08 1
 
0.5%
0.09 2
 
1.0%
0.11 1
 
0.5%
0.12 9
4.5%
0.13 1
 
0.5%
0.14 6
3.0%
0.15 5
2.5%
0.16 7
3.5%
ValueCountFrequency (%)
12.95 1
0.5%
9.33 1
0.5%
9.07 1
0.5%
7.25 2
1.0%
5.7 1
0.5%
5.44 2
1.0%
4.91 1
0.5%
4.81 1
0.5%
4.31 1
0.5%
3.8 1
0.5%

POP_W_05
Real number (ℝ)

Distinct59
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8228
Minimum0.04
Maximum15.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:31.675481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.1
Q10.1875
median0.26
Q30.39
95-th percentile5.7515
Maximum15.18
Range15.14
Interquartile range (IQR)0.2025

Descriptive statistics

Standard deviation2.0361016
Coefficient of variation (CV)2.4746009
Kurtosis20.22729
Mean0.8228
Median Absolute Deviation (MAD)0.095
Skewness4.2995903
Sum164.56
Variance4.1457097
MonotonicityNot monotonic
2023-12-10T15:15:31.831704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.21 23
 
11.5%
0.26 11
 
5.5%
0.18 9
 
4.5%
0.27 9
 
4.5%
0.48 9
 
4.5%
0.1 8
 
4.0%
0.16 8
 
4.0%
0.36 8
 
4.0%
0.24 7
 
3.5%
0.3 7
 
3.5%
Other values (49) 101
50.5%
ValueCountFrequency (%)
0.04 1
 
0.5%
0.05 2
 
1.0%
0.08 1
 
0.5%
0.09 1
 
0.5%
0.1 8
4.0%
0.11 5
2.5%
0.12 1
 
0.5%
0.13 4
2.0%
0.14 5
2.5%
0.15 3
 
1.5%
ValueCountFrequency (%)
15.18 1
0.5%
10.93 1
0.5%
10.63 1
0.5%
8.67 1
0.5%
8.5 2
1.0%
6.38 2
1.0%
5.87 1
0.5%
5.78 1
0.5%
5.75 1
0.5%
5.15 1
0.5%

POP_W_10
Real number (ℝ)

Distinct65
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.78255
Minimum0.05
Maximum13.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:31.998517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.11
Q10.1975
median0.27
Q30.43
95-th percentile4.989
Maximum13.55
Range13.5
Interquartile range (IQR)0.2325

Descriptive statistics

Standard deviation1.7918273
Coefficient of variation (CV)2.2897289
Kurtosis20.37966
Mean0.78255
Median Absolute Deviation (MAD)0.09
Skewness4.2683073
Sum156.51
Variance3.2106452
MonotonicityNot monotonic
2023-12-10T15:15:32.193853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27 12
 
6.0%
0.21 10
 
5.0%
0.19 10
 
5.0%
0.2 10
 
5.0%
0.14 9
 
4.5%
0.24 8
 
4.0%
0.35 8
 
4.0%
0.46 8
 
4.0%
0.22 7
 
3.5%
0.17 7
 
3.5%
Other values (55) 111
55.5%
ValueCountFrequency (%)
0.05 1
 
0.5%
0.06 2
 
1.0%
0.09 1
 
0.5%
0.1 1
 
0.5%
0.11 7
3.5%
0.12 2
 
1.0%
0.13 3
 
1.5%
0.14 9
4.5%
0.15 2
 
1.0%
0.16 2
 
1.0%
ValueCountFrequency (%)
13.55 1
0.5%
9.76 1
0.5%
9.48 1
0.5%
7.59 2
1.0%
5.92 1
0.5%
5.69 2
1.0%
5.65 1
0.5%
5.54 1
0.5%
4.96 1
0.5%
4.15 1
0.5%

POP_W_15
Real number (ℝ)

Distinct72
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.03025
Minimum0.06
Maximum16.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:32.384439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.1895
Q10.2875
median0.36
Q30.62
95-th percentile6.0405
Maximum16.3
Range16.24
Interquartile range (IQR)0.3325

Descriptive statistics

Standard deviation2.1676081
Coefficient of variation (CV)2.1039633
Kurtosis19.42213
Mean1.03025
Median Absolute Deviation (MAD)0.11
Skewness4.157908
Sum206.05
Variance4.6985251
MonotonicityNot monotonic
2023-12-10T15:15:32.576298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.36 13
 
6.5%
0.32 12
 
6.0%
0.25 11
 
5.5%
0.29 10
 
5.0%
0.62 8
 
4.0%
0.46 7
 
3.5%
0.4 7
 
3.5%
0.5 6
 
3.0%
0.19 6
 
3.0%
0.22 6
 
3.0%
Other values (62) 114
57.0%
ValueCountFrequency (%)
0.06 1
 
0.5%
0.08 2
 
1.0%
0.12 1
 
0.5%
0.15 3
1.5%
0.17 1
 
0.5%
0.18 2
 
1.0%
0.19 6
3.0%
0.2 1
 
0.5%
0.21 3
1.5%
0.22 6
3.0%
ValueCountFrequency (%)
16.3 1
0.5%
11.73 1
0.5%
11.41 1
0.5%
9.13 2
1.0%
7.55 1
0.5%
7.39 1
0.5%
6.84 2
1.0%
6.62 1
0.5%
6.01 1
0.5%
5.55 1
0.5%

X_AXIS
Real number (ℝ)

Distinct195
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318850.79
Minimum313647
Maximum322625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:32.783883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum313647
5-th percentile314424.8
Q1316237.5
median319569.5
Q3320866.75
95-th percentile322128.15
Maximum322625
Range8978
Interquartile range (IQR)4629.25

Descriptive statistics

Standard deviation2721.6283
Coefficient of variation (CV)0.0085357425
Kurtosis-1.2220666
Mean318850.79
Median Absolute Deviation (MAD)2254
Skewness-0.46942722
Sum63770159
Variance7407260.5
MonotonicityNot monotonic
2023-12-10T15:15:32.967420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320430 2
 
1.0%
320455 2
 
1.0%
319223 2
 
1.0%
320906 2
 
1.0%
314995 2
 
1.0%
319531 1
 
0.5%
319106 1
 
0.5%
319092 1
 
0.5%
319098 1
 
0.5%
319168 1
 
0.5%
Other values (185) 185
92.5%
ValueCountFrequency (%)
313647 1
0.5%
313665 1
0.5%
314033 1
0.5%
314053 1
0.5%
314137 1
0.5%
314142 1
0.5%
314227 1
0.5%
314283 1
0.5%
314330 1
0.5%
314402 1
0.5%
ValueCountFrequency (%)
322625 1
0.5%
322454 1
0.5%
322441 1
0.5%
322433 1
0.5%
322300 1
0.5%
322267 1
0.5%
322257 1
0.5%
322143 1
0.5%
322140 1
0.5%
322131 1
0.5%

POP_W_20
Real number (ℝ)

Distinct77
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4458
Minimum0.19
Maximum19.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:33.161284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.3395
Q10.5075
median0.63
Q30.85
95-th percentile7.6425
Maximum19.67
Range19.48
Interquartile range (IQR)0.3425

Descriptive statistics

Standard deviation2.6730389
Coefficient of variation (CV)1.8488303
Kurtosis17.244964
Mean1.4458
Median Absolute Deviation (MAD)0.14
Skewness3.9451993
Sum289.16
Variance7.145137
MonotonicityNot monotonic
2023-12-10T15:15:33.408147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.62 14
 
7.0%
0.5 13
 
6.5%
0.56 10
 
5.0%
0.55 10
 
5.0%
0.85 8
 
4.0%
0.63 7
 
3.5%
0.74 7
 
3.5%
0.43 7
 
3.5%
0.58 5
 
2.5%
0.25 5
 
2.5%
Other values (67) 114
57.0%
ValueCountFrequency (%)
0.19 1
 
0.5%
0.2 1
 
0.5%
0.25 5
2.5%
0.31 2
 
1.0%
0.33 1
 
0.5%
0.34 1
 
0.5%
0.36 1
 
0.5%
0.37 3
1.5%
0.38 1
 
0.5%
0.39 1
 
0.5%
ValueCountFrequency (%)
19.67 1
0.5%
14.16 1
0.5%
13.77 1
0.5%
11.02 2
1.0%
10.36 1
0.5%
10.15 1
0.5%
9.09 1
0.5%
8.26 2
1.0%
7.61 1
0.5%
6.99 1
0.5%

POP_W_25
Real number (ℝ)

Distinct90
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.94705
Minimum0.22
Maximum20.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:33.629026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile0.5185
Q10.87
median1.075
Q31.435
95-th percentile8.825
Maximum20.94
Range20.72
Interquartile range (IQR)0.565

Descriptive statistics

Standard deviation2.9252541
Coefficient of variation (CV)1.5024032
Kurtosis14.776828
Mean1.94705
Median Absolute Deviation (MAD)0.265
Skewness3.6901214
Sum389.41
Variance8.5571114
MonotonicityNot monotonic
2023-12-10T15:15:33.901600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.88 11
 
5.5%
1.07 8
 
4.0%
0.96 7
 
3.5%
1.34 6
 
3.0%
0.66 6
 
3.0%
1.08 6
 
3.0%
1.1 5
 
2.5%
0.98 5
 
2.5%
0.77 5
 
2.5%
0.86 5
 
2.5%
Other values (80) 136
68.0%
ValueCountFrequency (%)
0.22 1
 
0.5%
0.35 1
 
0.5%
0.36 1
 
0.5%
0.37 1
 
0.5%
0.48 2
1.0%
0.49 4
2.0%
0.52 2
1.0%
0.56 1
 
0.5%
0.58 1
 
0.5%
0.59 1
 
0.5%
ValueCountFrequency (%)
20.94 1
0.5%
15.07 1
0.5%
14.65 1
0.5%
13.7 1
0.5%
11.72 2
1.0%
10.82 1
0.5%
10.78 1
0.5%
10.6 1
0.5%
9.49 1
0.5%
8.79 2
1.0%

POP_W_30
Real number (ℝ)

Distinct91
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9891
Minimum0.23
Maximum24.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:34.106482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.23
5-th percentile0.5365
Q10.83
median1.03
Q31.42
95-th percentile9.9955
Maximum24.05
Range23.82
Interquartile range (IQR)0.59

Descriptive statistics

Standard deviation3.1990209
Coefficient of variation (CV)1.6082756
Kurtosis17.731249
Mean1.9891
Median Absolute Deviation (MAD)0.24
Skewness3.9670761
Sum397.82
Variance10.233735
MonotonicityNot monotonic
2023-12-10T15:15:34.323861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.83 13
 
6.5%
1.03 11
 
5.5%
0.95 8
 
4.0%
0.9 7
 
3.5%
0.92 6
 
3.0%
1.16 5
 
2.5%
1.18 5
 
2.5%
0.47 5
 
2.5%
0.62 5
 
2.5%
1.01 5
 
2.5%
Other values (81) 130
65.0%
ValueCountFrequency (%)
0.23 1
 
0.5%
0.36 1
 
0.5%
0.38 1
 
0.5%
0.39 1
 
0.5%
0.45 1
 
0.5%
0.47 5
2.5%
0.54 1
 
0.5%
0.56 1
 
0.5%
0.57 2
 
1.0%
0.59 1
 
0.5%
ValueCountFrequency (%)
24.05 1
0.5%
17.32 1
0.5%
16.84 1
0.5%
13.47 2
1.0%
13.39 1
0.5%
10.32 1
0.5%
10.2 1
0.5%
10.1 2
1.0%
9.99 1
0.5%
8.95 1
0.5%

POP_W_35
Real number (ℝ)

Distinct85
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.09915
Minimum0.25
Maximum28.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:34.482914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.518
Q10.81
median0.945
Q31.31
95-th percentile11.2515
Maximum28.51
Range28.26
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation3.7820285
Coefficient of variation (CV)1.8016952
Kurtosis18.388995
Mean2.09915
Median Absolute Deviation (MAD)0.215
Skewness4.0276026
Sum419.83
Variance14.303739
MonotonicityNot monotonic
2023-12-10T15:15:34.973757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.94 13
 
6.5%
0.98 8
 
4.0%
1.05 8
 
4.0%
0.73 7
 
3.5%
0.81 7
 
3.5%
0.87 6
 
3.0%
0.7 6
 
3.0%
0.91 6
 
3.0%
1.09 5
 
2.5%
0.84 5
 
2.5%
Other values (75) 129
64.5%
ValueCountFrequency (%)
0.25 1
 
0.5%
0.33 1
 
0.5%
0.37 1
 
0.5%
0.42 4
2.0%
0.44 2
1.0%
0.48 1
 
0.5%
0.52 1
 
0.5%
0.54 1
 
0.5%
0.55 3
1.5%
0.57 1
 
0.5%
ValueCountFrequency (%)
28.51 1
0.5%
20.53 1
0.5%
19.96 1
0.5%
15.96 2
1.0%
12.69 1
0.5%
12.35 1
0.5%
11.97 2
1.0%
11.47 1
0.5%
11.24 1
0.5%
10.07 1
0.5%

POP_W_40
Real number (ℝ)

Distinct85
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7464
Minimum0.21
Maximum25.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:35.188580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.3795
Q10.61
median0.755
Q31.0275
95-th percentile8.791
Maximum25.39
Range25.18
Interquartile range (IQR)0.4175

Descriptive statistics

Standard deviation3.3468849
Coefficient of variation (CV)1.916448
Kurtosis19.284505
Mean1.7464
Median Absolute Deviation (MAD)0.165
Skewness4.1183094
Sum349.28
Variance11.201638
MonotonicityNot monotonic
2023-12-10T15:15:35.388216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.81 11
 
5.5%
0.68 10
 
5.0%
0.59 9
 
4.5%
0.51 9
 
4.5%
0.61 9
 
4.5%
0.76 8
 
4.0%
0.7 6
 
3.0%
0.62 6
 
3.0%
0.86 6
 
3.0%
0.71 5
 
2.5%
Other values (75) 121
60.5%
ValueCountFrequency (%)
0.21 1
 
0.5%
0.23 1
 
0.5%
0.29 3
1.5%
0.3 2
1.0%
0.35 1
 
0.5%
0.37 2
1.0%
0.38 1
 
0.5%
0.42 1
 
0.5%
0.44 1
 
0.5%
0.45 1
 
0.5%
ValueCountFrequency (%)
25.39 1
0.5%
18.28 1
0.5%
17.77 1
0.5%
14.22 2
1.0%
11.55 1
0.5%
10.66 2
1.0%
9.96 1
0.5%
9.76 1
0.5%
8.74 1
0.5%
8.48 1
0.5%

POP_W_45
Real number (ℝ)

Distinct86
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.92105
Minimum0.19
Maximum29.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:35.578298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.439
Q10.6375
median0.78
Q31.1025
95-th percentile9.703
Maximum29.4
Range29.21
Interquartile range (IQR)0.465

Descriptive statistics

Standard deviation3.8187446
Coefficient of variation (CV)1.9878424
Kurtosis20.763953
Mean1.92105
Median Absolute Deviation (MAD)0.2
Skewness4.2625202
Sum384.21
Variance14.58281
MonotonicityNot monotonic
2023-12-10T15:15:35.799214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.73 13
 
6.5%
0.56 12
 
6.0%
0.68 11
 
5.5%
0.51 9
 
4.5%
0.98 8
 
4.0%
0.86 8
 
4.0%
0.8 6
 
3.0%
0.65 6
 
3.0%
0.76 5
 
2.5%
0.58 5
 
2.5%
Other values (76) 117
58.5%
ValueCountFrequency (%)
0.19 1
 
0.5%
0.25 2
1.0%
0.27 1
 
0.5%
0.32 3
1.5%
0.37 1
 
0.5%
0.4 1
 
0.5%
0.42 1
 
0.5%
0.44 1
 
0.5%
0.45 1
 
0.5%
0.46 2
1.0%
ValueCountFrequency (%)
29.4 1
0.5%
21.17 1
0.5%
20.58 1
0.5%
16.46 2
1.0%
12.35 2
1.0%
11.99 1
0.5%
11.75 1
0.5%
10.52 1
0.5%
9.66 1
0.5%
8.81 1
0.5%

POP_W_50
Real number (ℝ)

Distinct83
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7149
Minimum0.16
Maximum26.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:36.003680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.16
5-th percentile0.38
Q10.5475
median0.73
Q30.9825
95-th percentile8.704
Maximum26.21
Range26.05
Interquartile range (IQR)0.435

Descriptive statistics

Standard deviation3.425882
Coefficient of variation (CV)1.9977153
Kurtosis20.439809
Mean1.7149
Median Absolute Deviation (MAD)0.21
Skewness4.250883
Sum342.98
Variance11.736667
MonotonicityNot monotonic
2023-12-10T15:15:36.212882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.67 11
 
5.5%
0.6 11
 
5.5%
0.52 10
 
5.0%
0.82 9
 
4.5%
0.96 8
 
4.0%
0.62 7
 
3.5%
0.75 7
 
3.5%
0.72 5
 
2.5%
0.47 5
 
2.5%
0.38 5
 
2.5%
Other values (73) 122
61.0%
ValueCountFrequency (%)
0.16 1
 
0.5%
0.21 2
 
1.0%
0.28 1
 
0.5%
0.3 3
1.5%
0.34 1
 
0.5%
0.37 1
 
0.5%
0.38 5
2.5%
0.4 2
 
1.0%
0.41 2
 
1.0%
0.43 1
 
0.5%
ValueCountFrequency (%)
26.21 1
0.5%
18.87 1
0.5%
18.34 1
0.5%
14.68 2
1.0%
11.74 1
0.5%
11.5 1
0.5%
11.01 2
1.0%
10.3 1
0.5%
8.62 1
0.5%
6.93 1
0.5%

POP_W_55
Real number (ℝ)

Distinct85
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.74365
Minimum0.16
Maximum27.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:36.423521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.16
5-th percentile0.37
Q10.57
median0.73
Q31.0025
95-th percentile9.33
Maximum27.43
Range27.27
Interquartile range (IQR)0.4325

Descriptive statistics

Standard deviation3.5916579
Coefficient of variation (CV)2.0598502
Kurtosis20.620226
Mean1.74365
Median Absolute Deviation (MAD)0.205
Skewness4.2861291
Sum348.73
Variance12.900006
MonotonicityNot monotonic
2023-12-10T15:15:36.601029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.67 11
 
5.5%
1.03 8
 
4.0%
0.81 7
 
3.5%
0.56 6
 
3.0%
0.6 6
 
3.0%
0.73 5
 
2.5%
0.65 5
 
2.5%
0.64 5
 
2.5%
0.51 4
 
2.0%
0.62 4
 
2.0%
Other values (75) 139
69.5%
ValueCountFrequency (%)
0.16 1
 
0.5%
0.21 2
1.0%
0.31 1
 
0.5%
0.32 3
1.5%
0.34 2
1.0%
0.37 3
1.5%
0.38 4
2.0%
0.4 1
 
0.5%
0.41 2
1.0%
0.42 3
1.5%
ValueCountFrequency (%)
27.43 1
0.5%
19.75 1
0.5%
19.2 1
0.5%
15.36 2
1.0%
12.58 1
0.5%
12.32 1
0.5%
11.52 2
1.0%
11.04 1
0.5%
9.24 1
0.5%
7.17 1
0.5%

POP_W_60
Real number (ℝ)

Distinct80
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.63875
Minimum0.15
Maximum27.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:36.773494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.3395
Q10.51
median0.645
Q30.89
95-th percentile8.5825
Maximum27.47
Range27.32
Interquartile range (IQR)0.38

Descriptive statistics

Standard deviation3.5455709
Coefficient of variation (CV)2.1635826
Kurtosis22.130087
Mean1.63875
Median Absolute Deviation (MAD)0.175
Skewness4.4326559
Sum327.75
Variance12.571073
MonotonicityNot monotonic
2023-12-10T15:15:36.964088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.94 10
 
5.0%
0.51 9
 
4.5%
0.74 7
 
3.5%
0.62 7
 
3.5%
0.61 7
 
3.5%
0.54 6
 
3.0%
0.46 6
 
3.0%
0.89 5
 
2.5%
0.47 5
 
2.5%
0.55 5
 
2.5%
Other values (70) 133
66.5%
ValueCountFrequency (%)
0.15 1
 
0.5%
0.21 2
1.0%
0.24 1
 
0.5%
0.28 1
 
0.5%
0.29 3
1.5%
0.31 1
 
0.5%
0.33 1
 
0.5%
0.34 1
 
0.5%
0.35 4
2.0%
0.36 1
 
0.5%
ValueCountFrequency (%)
27.47 1
0.5%
19.78 1
0.5%
19.23 1
0.5%
15.38 2
1.0%
11.56 1
0.5%
11.54 2
1.0%
11.33 1
0.5%
10.15 1
0.5%
8.5 1
0.5%
6.84 1
0.5%

POP_W_65
Real number (ℝ)

Distinct67
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.05195
Minimum0.11
Maximum16.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:37.241147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.22
Q10.355
median0.44
Q30.57
95-th percentile5.139
Maximum16.74
Range16.63
Interquartile range (IQR)0.215

Descriptive statistics

Standard deviation2.1632712
Coefficient of variation (CV)2.0564392
Kurtosis21.551797
Mean1.05195
Median Absolute Deviation (MAD)0.11
Skewness4.3587199
Sum210.39
Variance4.6797424
MonotonicityNot monotonic
2023-12-10T15:15:37.487960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.32 12
 
6.0%
0.36 10
 
5.0%
0.57 9
 
4.5%
0.48 9
 
4.5%
0.34 8
 
4.0%
0.41 8
 
4.0%
0.39 8
 
4.0%
0.44 8
 
4.0%
0.38 7
 
3.5%
0.46 6
 
3.0%
Other values (57) 115
57.5%
ValueCountFrequency (%)
0.11 1
 
0.5%
0.15 2
1.0%
0.17 1
 
0.5%
0.18 3
1.5%
0.21 2
1.0%
0.22 2
1.0%
0.23 2
1.0%
0.24 4
2.0%
0.27 4
2.0%
0.29 4
2.0%
ValueCountFrequency (%)
16.74 1
0.5%
12.05 1
0.5%
11.72 1
0.5%
9.37 2
1.0%
7.03 2
1.0%
6.92 1
0.5%
6.78 1
0.5%
6.07 1
0.5%
5.09 1
0.5%
4.73 1
0.5%

Y_AXIS
Real number (ℝ)

Distinct184
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean545109.17
Minimum541922
Maximum548659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:37.696789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum541922
5-th percentile542231.95
Q1544940
median545116
Q3545368.75
95-th percentile546593.15
Maximum548659
Range6737
Interquartile range (IQR)428.75

Descriptive statistics

Standard deviation973.52945
Coefficient of variation (CV)0.0017859348
Kurtosis5.4643075
Mean545109.17
Median Absolute Deviation (MAD)220.5
Skewness-0.79186923
Sum1.0902183 × 108
Variance947759.59
MonotonicityNot monotonic
2023-12-10T15:15:37.977801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
544953 3
 
1.5%
545346 3
 
1.5%
545412 2
 
1.0%
545004 2
 
1.0%
545175 2
 
1.0%
545043 2
 
1.0%
546040 2
 
1.0%
544940 2
 
1.0%
544806 2
 
1.0%
544920 2
 
1.0%
Other values (174) 178
89.0%
ValueCountFrequency (%)
541922 1
0.5%
541970 1
0.5%
542049 1
0.5%
542050 1
0.5%
542051 1
0.5%
542132 1
0.5%
542168 1
0.5%
542208 1
0.5%
542219 1
0.5%
542231 1
0.5%
ValueCountFrequency (%)
548659 1
0.5%
548564 1
0.5%
548499 1
0.5%
547014 1
0.5%
546910 1
0.5%
546808 1
0.5%
546784 1
0.5%
546782 1
0.5%
546763 1
0.5%
546634 1
0.5%

POP_W_70
Real number (ℝ)

Distinct64
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7466
Minimum0.09
Maximum12.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:38.253623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.17
Q10.25
median0.31
Q30.4125
95-th percentile3.285
Maximum12.25
Range12.16
Interquartile range (IQR)0.1625

Descriptive statistics

Standard deviation1.53481
Coefficient of variation (CV)2.0557326
Kurtosis24.473683
Mean0.7466
Median Absolute Deviation (MAD)0.06
Skewness4.6282145
Sum149.32
Variance2.3556416
MonotonicityNot monotonic
2023-12-10T15:15:38.484132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.28 17
 
8.5%
0.25 17
 
8.5%
0.26 13
 
6.5%
0.33 12
 
6.0%
0.22 9
 
4.5%
0.31 8
 
4.0%
0.37 8
 
4.0%
0.3 7
 
3.5%
0.34 7
 
3.5%
0.29 7
 
3.5%
Other values (54) 95
47.5%
ValueCountFrequency (%)
0.09 1
 
0.5%
0.12 2
 
1.0%
0.15 4
2.0%
0.16 1
 
0.5%
0.17 4
2.0%
0.18 1
 
0.5%
0.19 2
 
1.0%
0.2 5
2.5%
0.21 1
 
0.5%
0.22 9
4.5%
ValueCountFrequency (%)
12.25 1
0.5%
8.82 1
0.5%
8.57 1
0.5%
6.86 2
1.0%
5.14 2
1.0%
4.07 1
0.5%
3.98 1
0.5%
3.57 1
0.5%
3.27 1
0.5%
3.01 1
0.5%

POP_W_75
Real number (ℝ)

Distinct55
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4923
Minimum0.06
Maximum8.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:38.694708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.1195
Q10.17
median0.21
Q30.27
95-th percentile2.1625
Maximum8.17
Range8.11
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation1.0258404
Coefficient of variation (CV)2.0837708
Kurtosis24.350255
Mean0.4923
Median Absolute Deviation (MAD)0.05
Skewness4.6187753
Sum98.46
Variance1.0523485
MonotonicityNot monotonic
2023-12-10T15:15:38.958663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.22 17
 
8.5%
0.17 16
 
8.0%
0.18 14
 
7.0%
0.15 12
 
6.0%
0.19 12
 
6.0%
0.16 11
 
5.5%
0.21 10
 
5.0%
0.26 9
 
4.5%
0.23 8
 
4.0%
0.2 7
 
3.5%
Other values (45) 84
42.0%
ValueCountFrequency (%)
0.06 1
 
0.5%
0.08 2
 
1.0%
0.09 3
 
1.5%
0.1 3
 
1.5%
0.11 1
 
0.5%
0.12 4
 
2.0%
0.13 6
3.0%
0.14 5
2.5%
0.15 12
6.0%
0.16 11
5.5%
ValueCountFrequency (%)
8.17 1
0.5%
5.88 1
0.5%
5.72 1
0.5%
4.57 2
1.0%
3.43 2
1.0%
2.73 1
0.5%
2.68 1
0.5%
2.4 1
0.5%
2.15 1
0.5%
2.14 1
0.5%

POP_W_80_OVER
Real number (ℝ)

Distinct57
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65725
Minimum0.07
Maximum12.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:39.204554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.12
Q10.19
median0.24
Q30.34
95-th percentile3.302
Maximum12.06
Range11.99
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation1.526038
Coefficient of variation (CV)2.3218531
Kurtosis24.526423
Mean0.65725
Median Absolute Deviation (MAD)0.07
Skewness4.6687593
Sum131.45
Variance2.3287919
MonotonicityNot monotonic
2023-12-10T15:15:39.474189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.21 14
 
7.0%
0.27 12
 
6.0%
0.24 12
 
6.0%
0.22 12
 
6.0%
0.17 11
 
5.5%
0.32 11
 
5.5%
0.2 10
 
5.0%
0.36 9
 
4.5%
0.18 9
 
4.5%
0.19 8
 
4.0%
Other values (47) 92
46.0%
ValueCountFrequency (%)
0.07 1
 
0.5%
0.09 3
 
1.5%
0.1 3
 
1.5%
0.11 1
 
0.5%
0.12 3
 
1.5%
0.13 2
 
1.0%
0.14 6
3.0%
0.15 2
 
1.0%
0.16 6
3.0%
0.17 11
5.5%
ValueCountFrequency (%)
12.06 1
0.5%
8.69 1
0.5%
8.44 1
0.5%
6.76 2
1.0%
5.07 2
1.0%
4.45 1
0.5%
4.36 1
0.5%
3.91 1
0.5%
3.27 1
0.5%
2.58 1
0.5%

BLK_CD
Real number (ℝ)

Distinct157
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167540.82
Minimum1311
Maximum418879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:39.714674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1311
5-th percentile25819
Q1153315.75
median153747.5
Q3155012
95-th percentile353446.85
Maximum418879
Range417568
Interquartile range (IQR)1696.25

Descriptive statistics

Standard deviation98477.528
Coefficient of variation (CV)0.5877823
Kurtosis0.28780711
Mean167540.82
Median Absolute Deviation (MAD)1257.5
Skewness0.6258691
Sum33508164
Variance9.6978236 × 109
MonotonicityNot monotonic
2023-12-10T15:15:39.992909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153470 4
 
2.0%
153521 3
 
1.5%
154998 3
 
1.5%
153916 3
 
1.5%
154977 3
 
1.5%
155011 3
 
1.5%
153880 3
 
1.5%
153910 3
 
1.5%
153318 2
 
1.0%
275225 2
 
1.0%
Other values (147) 171
85.5%
ValueCountFrequency (%)
1311 1
0.5%
18060 1
0.5%
18071 1
0.5%
18073 1
0.5%
18075 1
0.5%
18080 1
0.5%
23048 1
0.5%
23054 1
0.5%
24606 1
0.5%
24622 1
0.5%
ValueCountFrequency (%)
418879 1
0.5%
418801 1
0.5%
418775 2
1.0%
418576 1
0.5%
417932 1
0.5%
417365 1
0.5%
360299 1
0.5%
354719 1
0.5%
354717 1
0.5%
353380 1
0.5%

HOUS_CLSS
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
V
178 
A
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowV
2nd rowV
3rd rowV
4th rowV
5th rowV

Common Values

ValueCountFrequency (%)
V 178
89.0%
A 22
 
11.0%

Length

2023-12-10T15:15:40.232015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:40.437052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
v 178
89.0%
a 22
 
11.0%

HOUS
Real number (ℝ)

Distinct35
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.855
Minimum3
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:41.012420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median9
Q312
95-th percentile86.2
Maximum200
Range197
Interquartile range (IQR)4

Descriptive statistics

Standard deviation27.846203
Coefficient of variation (CV)1.5595745
Kurtosis14.500867
Mean17.855
Median Absolute Deviation (MAD)2
Skewness3.6336802
Sum3571
Variance775.41103
MonotonicityNot monotonic
2023-12-10T15:15:41.229940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8 38
19.0%
9 24
12.0%
10 22
11.0%
7 21
10.5%
6 13
 
6.5%
12 11
 
5.5%
11 11
 
5.5%
13 7
 
3.5%
4 6
 
3.0%
5 5
 
2.5%
Other values (25) 42
21.0%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
 
3.0%
5 5
 
2.5%
6 13
 
6.5%
7 21
10.5%
8 38
19.0%
9 24
12.0%
10 22
11.0%
11 11
 
5.5%
12 11
 
5.5%
ValueCountFrequency (%)
200 1
0.5%
144 1
0.5%
140 1
0.5%
113 1
0.5%
112 2
1.0%
98 1
0.5%
96 1
0.5%
90 2
1.0%
86 1
0.5%
84 2
1.0%

POP
Real number (ℝ)

Distinct106
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.14355
Minimum4.91
Maximum643.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:41.558213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.91
5-th percentile10.074
Q115.395
median18.765
Q323.9825
95-th percentile209.3835
Maximum643.24
Range638.33
Interquartile range (IQR)8.5875

Descriptive statistics

Standard deviation83.966804
Coefficient of variation (CV)1.9462192
Kurtosis20.247141
Mean43.14355
Median Absolute Deviation (MAD)4.23
Skewness4.22006
Sum8628.71
Variance7050.4242
MonotonicityNot monotonic
2023-12-10T15:15:41.827012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.54 8
 
4.0%
17.35 6
 
3.0%
15.43 6
 
3.0%
17.87 5
 
2.5%
15.94 5
 
2.5%
16.51 5
 
2.5%
13.95 5
 
2.5%
15.89 5
 
2.5%
13.5 4
 
2.0%
19.93 4
 
2.0%
Other values (96) 147
73.5%
ValueCountFrequency (%)
4.91 1
 
0.5%
6.55 2
1.0%
6.75 1
 
0.5%
7.97 3
1.5%
9.48 1
 
0.5%
9.93 1
 
0.5%
9.96 1
 
0.5%
10.08 1
 
0.5%
10.32 1
 
0.5%
11.26 1
 
0.5%
ValueCountFrequency (%)
643.24 1
0.5%
463.14 1
0.5%
450.27 1
0.5%
360.22 2
1.0%
276.13 1
0.5%
270.5 1
0.5%
270.16 2
1.0%
242.32 1
0.5%
207.65 1
0.5%
202.87 1
0.5%

Sample

HOUS_IDBLD_CDPOP_00POP_05POP_10POP_15POP_20POP_25POP_30POP_35POP_40POP_45HOUS_ADDRPOP_50POP_55POP_60POP_65POP_70POP_75POP_80_OVERPOP_MPOP_M_00POP_M_05ROAD_ADDRPOP_M_10POP_M_15POP_M_20POP_M_25POP_M_30POP_M_35POP_M_40POP_M_45POP_M_50POP_M_55ADMI_CDPOP_M_60POP_M_65POP_M_70POP_M_75POP_M_80_OVERPOP_WPOP_W_00POP_W_05POP_W_10POP_W_15X_AXISPOP_W_20POP_W_25POP_W_30POP_W_35POP_W_40POP_W_45POP_W_50POP_W_55POP_W_60POP_W_65Y_AXISPOP_W_70POP_W_75POP_W_80_OVERBLK_CDHOUS_CLSSHOUSPOP
0117101030000146000211710103001014600020263610.520.460.550.71.081.261.331.41.191.42서울특별시 송파구 풍납동 146-2번지 삼성월드빌1.461.71.681.140.870.660.598.930.280.26서울특별시 송파구 풍성로25나길 18 삼성월드빌0.280.360.550.670.710.720.620.70.720.79117105100.790.550.410.290.229.080.240.210.270.333223000.520.590.620.670.570.720.740.920.890.65484990.450.370.3724622V818.01
1117101030000148001011710103001014800050267730.320.290.340.440.670.780.830.870.740.89서울특별시 송파구 풍납동 148-10번지 담터그린빌0.911.061.050.720.540.420.375.580.170.16서울특별시 송파구 바람드리20길 8 담터그린빌0.180.230.350.420.450.450.390.440.450.49117105100.490.340.260.180.145.670.150.130.170.213224330.330.370.390.420.350.450.460.570.560.375486590.280.230.23142102V511.26
2117101030000151002811710103001015100280262760.190.170.210.260.40.470.50.520.440.53서울특별시 송파구 풍납동 151-28번지0.550.640.630.430.320.250.223.350.10.1서울특별시 송파구 풍성로25다길 80.110.140.210.250.270.270.230.260.270.3117105100.30.210.150.110.083.40.090.080.10.123224540.20.220.230.250.210.270.280.340.330.225485640.170.140.1424606V36.75
3117101060000028002511710106001002800250090040.50.520.540.721.111.841.981.921.51.47서울특별시 송파구 삼전동 28-25번지 양지주택1.311.321.140.750.540.350.358.520.260.26서울특별시 송파구 백제고분로22길 4-14 양지주택0.290.370.550.830.970.940.740.710.620.59117106100.520.340.260.160.19.350.240.270.260.343196100.561.011.010.980.760.760.690.730.620.415450110.280.180.24153880V917.87
4117101060000029000511710106001002900050090050.450.470.480.640.991.641.761.711.331.31서울특별시 송파구 삼전동 29-5번지 유로빌라 A동1.171.171.010.670.480.310.317.570.230.23서울특별시 송파구 백제고분로22길 8-14 유로빌라 A동0.250.330.490.740.860.830.650.630.550.52117106100.460.310.230.140.098.310.210.240.230.313196010.50.90.90.870.680.680.620.650.550.365449710.250.160.22153891V815.89
5117101040000117001011710104001011700100129230.540.410.420.581.051.981.971.711.161.12서울특별시 송파구 송파동 117-10번지1.21.251.10.810.540.360.337.780.280.2서울특별시 송파구 백제고분로44길 340.20.290.470.910.940.830.550.530.540.57117105800.510.380.260.190.138.730.260.210.210.293217190.581.071.030.880.610.580.660.670.590.435452360.280.180.2153357V816.51
6117101040000117002211710104001011700220129990.540.410.420.581.051.981.971.711.161.12서울특별시 송파구 송파동 117-22번지 대성휴먼빌1.21.251.10.810.540.360.337.780.280.2서울특별시 송파구 가락로23길 14-34 대성휴먼빌0.20.290.470.910.940.830.550.530.540.57117105800.510.380.260.190.138.730.260.210.210.293216990.581.071.030.880.610.580.660.670.590.435451580.280.180.2153373V816.51
7117101040000117003311710104001011700330135060.340.260.260.360.661.241.231.070.730.7서울특별시 송파구 송파동 117-33번지 씨엔씨빌라0.750.780.690.50.330.230.214.860.170.12서울특별시 송파구 가락로21길 64 씨엔씨빌라0.130.180.30.570.590.520.350.330.340.36117105800.320.240.160.120.085.460.160.130.130.183216710.360.670.640.550.380.370.410.420.370.275453410.170.110.12153357V510.32
8117101040000118000211710104001011800020137331.220.920.941.292.374.464.443.842.612.52서울특별시 송파구 송파동 118-2번지 에스탑2.692.82.471.811.20.820.7417.50.630.45서울특별시 송파구 백제고분로44길 13-18 에스탑0.460.651.072.042.121.861.251.21.211.29117105801.140.850.580.420.2919.640.590.470.480.643217581.32.422.321.981.361.321.481.521.330.965453520.630.40.45360299V1837.15
9117101040000118001411710104001011800140132450.810.610.630.861.582.972.962.561.741.68서울특별시 송파구 송파동 118-14번지 한양골든빌라1.81.871.651.210.80.550.4911.670.420.3서울특별시 송파구 백제고분로46길 32-40 한양골든빌라0.310.430.711.361.411.240.830.80.810.86117105800.760.570.380.280.1913.10.390.310.320.433217570.871.611.551.320.910.880.991.010.890.645452350.420.260.3153363V1224.76
HOUS_IDBLD_CDPOP_00POP_05POP_10POP_15POP_20POP_25POP_30POP_35POP_40POP_45HOUS_ADDRPOP_50POP_55POP_60POP_65POP_70POP_75POP_80_OVERPOP_MPOP_M_00POP_M_05ROAD_ADDRPOP_M_10POP_M_15POP_M_20POP_M_25POP_M_30POP_M_35POP_M_40POP_M_45POP_M_50POP_M_55ADMI_CDPOP_M_60POP_M_65POP_M_70POP_M_75POP_M_80_OVERPOP_WPOP_W_00POP_W_05POP_W_10POP_W_15X_AXISPOP_W_20POP_W_25POP_W_30POP_W_35POP_W_40POP_W_45POP_W_50POP_W_55POP_W_60POP_W_65Y_AXISPOP_W_70POP_W_75POP_W_80_OVERBLK_CDHOUS_CLSSHOUSPOP
190117101050000017001611710105001001700160099510.620.530.530.751.22.192.282.081.481.56서울특별시 송파구 석촌동 17-16번지 동우빌라1.451.531.330.880.670.450.49.570.330.27서울특별시 송파구 백제고분로36나길 9 동우빌라0.270.390.580.971.11.030.750.760.70.73117106000.610.430.30.220.1510.350.290.260.270.363206190.621.221.181.050.730.80.750.80.720.465450050.370.230.24153490V1019.93
191117101050000150003311710105001015000330115660.370.320.320.450.721.321.371.250.890.93서울특별시 송파구 석촌동 150-33번지 형제빌라0.870.920.80.530.40.270.245.740.20.16서울특별시 송파구 백제고분로37나길 12-1 형제빌라0.160.230.350.580.660.620.450.460.420.44117106000.370.260.180.130.096.210.170.160.160.223208630.370.730.710.630.440.480.450.480.430.275451200.220.140.15153470V611.96
192117101050000153000411710105001015300040114490.560.470.480.681.081.972.051.871.331.4서울특별시 송파구 석촌동 153-4번지1.31.371.20.790.610.410.368.620.290.24서울특별시 송파구 석촌호수로18길 23-50.240.350.520.870.990.930.670.690.630.66117106000.550.380.270.20.149.320.260.230.240.333207880.561.11.060.940.660.720.670.720.650.415451370.340.210.2232608V917.93
193117101050000153001211710105001015300120094670.680.580.590.831.322.412.512.291.631.71서울특별시 송파구 석촌동 153-12번지1.591.681.470.970.740.50.4410.530.360.29서울특별시 송파구 석촌호수로20길 240.290.430.641.071.211.140.820.840.770.8117106000.670.470.330.240.1711.390.320.290.30.43208590.681.341.31.150.810.870.820.880.790.55451750.410.260.2732608V1121.92
194117101050000154000711710105001015400070115370.490.420.430.60.961.761.821.661.181.25서울특별시 송파구 석촌동 154-7번지1.161.221.070.710.540.360.327.660.260.21서울특별시 송파구 석촌호수로18길 19-150.210.310.460.780.880.830.60.610.560.58117106000.490.340.240.180.128.280.230.210.210.293208200.50.980.950.840.590.640.60.640.580.365452000.30.190.2161056V815.94
195116801080000259000611680108001025900060071530.440.440.390.570.931.571.621.711.341.32서울특별시 강남구 논현동 259-6번지 토티캐슬1.030.980.890.670.610.40.387.120.220.23서울특별시 강남구 학동로44길 45 토티캐슬0.20.320.430.690.70.770.650.630.50.48116805310.380.290.280.190.168.170.220.210.190.263151110.490.880.930.940.690.680.530.50.510.385460590.330.210.2231941V815.29
196116801060000902000011680106001090200000123712.263.46.3512.9911.3213.2212.1312.2712.1517.33서울특별시 강남구 대치동 902번지 포스코더샵 103동13.298.766.464.264.02.852.1868.811.151.78서울특별시 강남구 삼성로 417 포스코더샵 103동3.496.985.656.225.615.45.097.676.74.3116806303.061.781.661.430.8276.411.111.622.866.013168045.676.996.526.867.069.666.584.463.392.485450042.351.411.36353341A72145.21
197116801060000904001011680106001090400120000010.560.851.593.252.833.33.033.073.044.33서울특별시 강남구 대치동 904-10번지 신성미소시티3.322.191.611.071.00.710.5417.20.290.44서울특별시 강남구 역삼로 451 신성미소시티0.871.741.411.561.41.351.271.921.681.07116806300.770.450.410.360.2119.10.280.410.711.53167471.421.751.631.721.772.421.651.120.850.625449280.590.350.34273399A1836.3
198116801070000521001411680107001052100140115550.590.831.111.291.411.791.661.821.892.34서울특별시 강남구 신사동 521-14번지 샤론빌1.781.51.311.111.040.810.8710.760.310.42서울특별시 강남구 강남대로162길 28 샤론빌0.580.640.680.770.70.810.821.10.90.72116805100.610.470.450.390.3912.40.280.410.530.653136470.731.020.961.011.071.240.880.790.70.655469100.60.420.4825882V1023.16
199116801070000523000711680107001052300070113020.470.660.891.031.131.441.321.461.511.87서울특별시 강남구 신사동 523-7번지 청기와빌라트1.431.21.050.890.830.650.698.60.250.33서울특별시 강남구 압구정로4길 28 청기와빌라트0.460.510.550.620.560.650.660.880.720.57116805100.490.370.360.310.319.920.220.330.420.523136650.590.820.770.810.860.990.70.630.560.525470140.480.340.3827522V818.53