Overview

Dataset statistics

Number of variables64
Number of observations199
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.3 KiB
Average record size in memory572.7 B

Variable types

Numeric61
Text2
Categorical1

Reproduction

Analysis started2023-12-10 06:30:23.781433
Analysis finished2023-12-10 06:30:24.892248
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1168010300012110002
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1450581 × 1018
Minimum1.1305101 × 1018
Maximum1.1680118 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:25.036080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1305101 × 1018
5-th percentile1.1305101 × 1018
Q11.1305102 × 1018
median1.1500103 × 1018
Q31.1500109 × 1018
95-th percentile1.1680111 × 1018
Maximum1.1680118 × 1018
Range3.75017 × 1016
Interquartile range (IQR)1.950065 × 1016

Descriptive statistics

Standard deviation1.5140434 × 1016
Coefficient of variation (CV)0.013222416
Kurtosis-1.3649021
Mean1.1450581 × 1018
Median Absolute Deviation (MAD)1.80011 × 1016
Skewness0.40743799
Sum6.5056366 × 1018
Variance2.2923275 × 1032
MonotonicityNot monotonic
2023-12-10T15:30:25.283646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1168010500000100004 1
 
0.5%
1150010300003730027 1
 
0.5%
1130510100002580191 1
 
0.5%
1150010300007990011 1
 
0.5%
1130510300007190011 1
 
0.5%
1168010100007480005 1
 
0.5%
1130510300005300001 1
 
0.5%
1150010600006720007 1
 
0.5%
1150010600007420000 1
 
0.5%
1168010300012340004 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
1130510100000080152 1
0.5%
1130510100000460017 1
0.5%
1130510100000510046 1
0.5%
1130510100000810017 1
0.5%
1130510100000820002 1
0.5%
1130510100000840026 1
0.5%
1130510100000870008 1
0.5%
1130510100001230030 1
0.5%
1130510100001320064 1
0.5%
1130510100001370077 1
0.5%
ValueCountFrequency (%)
1168011800009630000 1
0.5%
1168011800004550008 1
0.5%
1168011500007070000 1
0.5%
1168011400007110000 1
0.5%
1168011400006560015 1
0.5%
1168011400006560005 1
0.5%
1168011400006560003 1
0.5%
1168011400006510000 1
0.5%
1168011400006440008 1
0.5%
1168011400006280005 1
0.5%

1168010300102110002020428
Real number (ℝ)

Distinct184
Distinct (%)92.9%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1.1450331 × 1024
Minimum1.1305101 × 1024
Maximum1.1680118 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:25.541408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1305101 × 1024
5-th percentile1.1305101 × 1024
Q11.1305102 × 1024
median1.1500103 × 1024
Q31.1500109 × 1024
95-th percentile1.1680111 × 1024
Maximum1.1680118 × 1024
Range3.75017 × 1022
Interquartile range (IQR)1.9500675 × 1022

Descriptive statistics

Standard deviation1.5174691 × 1022
Coefficient of variation (CV)0.013252622
Kurtosis-1.3688601
Mean1.1450331 × 1024
Median Absolute Deviation (MAD)1.80011 × 1022
Skewness0.41157679
Sum2.2671656 × 1026
Variance2.3027125 × 1044
MonotonicityNot monotonic
2023-12-10T15:30:25.771349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.16801140010656e+24 3
 
1.5%
1.13051010010791e+24 3
 
1.5%
1.1305103001013e+24 3
 
1.5%
1.15001030010851e+24 2
 
1.0%
1.13051020010443e+24 2
 
1.0%
1.13051010010234e+24 2
 
1.0%
1.15001030010352e+24 2
 
1.0%
1.15001030010156e+24 2
 
1.0%
1.15001030010424e+24 2
 
1.0%
1.13051020010471e+24 2
 
1.0%
Other values (174) 175
87.9%
ValueCountFrequency (%)
1.13051010010008e+24 1
0.5%
1.13051010010046e+24 1
0.5%
1.13051010010051e+24 1
0.5%
1.13051010010081e+24 1
0.5%
1.13051010010082e+24 1
0.5%
1.13051010010084e+24 1
0.5%
1.13051010010087e+24 1
0.5%
1.13051010010123e+24 1
0.5%
1.13051010010132e+24 1
0.5%
1.13051010010137e+24 1
0.5%
ValueCountFrequency (%)
1.16801180010963e+24 1
 
0.5%
1.16801180010455e+24 1
 
0.5%
1.16801150010707e+24 1
 
0.5%
1.16801140010711e+24 1
 
0.5%
1.16801140010656e+24 3
1.5%
1.16801140010651e+24 1
 
0.5%
1.16801140010644e+24 1
 
0.5%
1.16801140010628e+24 1
 
0.5%
1.16801110010353e+24 1
 
0.5%
1.1680111001019e+24 1
 
0.5%

0.66
Real number (ℝ)

Distinct81
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73306533
Minimum0.04
Maximum13.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:26.019548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.05
Q10.14
median0.28
Q30.51
95-th percentile4.531
Maximum13.92
Range13.88
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation1.7186691
Coefficient of variation (CV)2.3444965
Kurtosis26.746502
Mean0.73306533
Median Absolute Deviation (MAD)0.15
Skewness4.8254571
Sum145.88
Variance2.9538234
MonotonicityNot monotonic
2023-12-10T15:30:26.337252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05 13
 
6.5%
0.16 10
 
5.0%
0.13 10
 
5.0%
0.11 8
 
4.0%
0.26 6
 
3.0%
0.19 6
 
3.0%
0.21 6
 
3.0%
0.14 6
 
3.0%
0.34 5
 
2.5%
0.31 5
 
2.5%
Other values (71) 124
62.3%
ValueCountFrequency (%)
0.04 3
 
1.5%
0.05 13
6.5%
0.07 3
 
1.5%
0.08 4
 
2.0%
0.09 2
 
1.0%
0.1 1
 
0.5%
0.11 8
4.0%
0.12 1
 
0.5%
0.13 10
5.0%
0.14 6
3.0%
ValueCountFrequency (%)
13.92 1
0.5%
10.99 1
0.5%
8.25 1
0.5%
7.03 1
0.5%
6.83 1
0.5%
6.1 1
0.5%
5.3 1
0.5%
5.13 1
0.5%
4.96 1
0.5%
4.72 1
0.5%

0.85
Real number (ℝ)

Distinct85
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98256281
Minimum0.06
Maximum15.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:26.597763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.07
Q10.185
median0.33
Q30.65
95-th percentile4.977
Maximum15.77
Range15.71
Interquartile range (IQR)0.465

Descriptive statistics

Standard deviation2.2785018
Coefficient of variation (CV)2.3189376
Kurtosis21.706007
Mean0.98256281
Median Absolute Deviation (MAD)0.17
Skewness4.5307506
Sum195.53
Variance5.1915707
MonotonicityNot monotonic
2023-12-10T15:30:26.847238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16 11
 
5.5%
0.18 9
 
4.5%
0.08 8
 
4.0%
0.07 8
 
4.0%
0.21 8
 
4.0%
0.3 7
 
3.5%
0.27 6
 
3.0%
0.28 6
 
3.0%
0.12 5
 
2.5%
0.24 5
 
2.5%
Other values (75) 126
63.3%
ValueCountFrequency (%)
0.06 3
 
1.5%
0.07 8
4.0%
0.08 8
4.0%
0.1 1
 
0.5%
0.12 5
2.5%
0.15 2
 
1.0%
0.16 11
5.5%
0.17 3
 
1.5%
0.18 9
4.5%
0.19 1
 
0.5%
ValueCountFrequency (%)
15.77 1
0.5%
13.84 1
0.5%
13.41 1
0.5%
11.72 1
0.5%
10.73 1
0.5%
8.63 1
0.5%
6.66 1
0.5%
6.44 1
0.5%
5.97 1
0.5%
5.76 1
0.5%

1.01
Real number (ℝ)

Distinct85
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0807035
Minimum0.06
Maximum16.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:27.081409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.08
Q10.21
median0.38
Q30.69
95-th percentile4.927
Maximum16.22
Range16.16
Interquartile range (IQR)0.48

Descriptive statistics

Standard deviation2.5207794
Coefficient of variation (CV)2.3325356
Kurtosis20.94952
Mean1.0807035
Median Absolute Deviation (MAD)0.19
Skewness4.5013346
Sum215.06
Variance6.3543288
MonotonicityNot monotonic
2023-12-10T15:30:27.336826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19 10
 
5.0%
0.08 9
 
4.5%
0.2 9
 
4.5%
0.24 8
 
4.0%
0.25 7
 
3.5%
0.09 7
 
3.5%
0.5 6
 
3.0%
0.3 6
 
3.0%
0.32 6
 
3.0%
0.16 5
 
2.5%
Other values (75) 126
63.3%
ValueCountFrequency (%)
0.06 3
 
1.5%
0.08 9
4.5%
0.09 7
3.5%
0.13 3
 
1.5%
0.14 1
 
0.5%
0.16 5
2.5%
0.18 1
 
0.5%
0.19 10
5.0%
0.2 9
4.5%
0.21 4
 
2.0%
ValueCountFrequency (%)
16.22 1
0.5%
15.68 1
0.5%
14.6 1
0.5%
13.43 1
0.5%
12.58 1
0.5%
10.94 1
0.5%
8.16 1
0.5%
6.43 1
0.5%
6.02 1
0.5%
5.08 1
0.5%

1.05
Real number (ℝ)

Distinct88
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1779899
Minimum0.09
Maximum19.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:27.640397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.1
Q10.27
median0.45
Q30.725
95-th percentile4.61
Maximum19.94
Range19.85
Interquartile range (IQR)0.455

Descriptive statistics

Standard deviation2.6782308
Coefficient of variation (CV)2.27356
Kurtosis23.302466
Mean1.1779899
Median Absolute Deviation (MAD)0.2
Skewness4.6402764
Sum234.42
Variance7.1729202
MonotonicityNot monotonic
2023-12-10T15:30:27.914834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29 13
 
6.5%
0.26 9
 
4.5%
0.27 8
 
4.0%
0.11 8
 
4.0%
0.1 7
 
3.5%
0.67 6
 
3.0%
0.6 6
 
3.0%
0.45 5
 
2.5%
0.49 5
 
2.5%
0.33 5
 
2.5%
Other values (78) 127
63.8%
ValueCountFrequency (%)
0.09 4
2.0%
0.1 7
3.5%
0.11 8
4.0%
0.12 1
 
0.5%
0.18 3
 
1.5%
0.19 4
2.0%
0.2 1
 
0.5%
0.21 3
 
1.5%
0.22 1
 
0.5%
0.24 2
 
1.0%
ValueCountFrequency (%)
19.94 1
0.5%
16.17 1
0.5%
15.46 1
0.5%
12.53 1
0.5%
11.34 1
0.5%
10.21 1
0.5%
10.07 1
0.5%
8.04 1
0.5%
7.03 1
0.5%
5.78 1
0.5%

1.34
Real number (ℝ)

Distinct109
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6823116
Minimum0.14
Maximum30.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:28.156955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.15
Q10.54
median0.8
Q31.26
95-th percentile6.715
Maximum30.53
Range30.39
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation3.4041488
Coefficient of variation (CV)2.0234949
Kurtosis31.083992
Mean1.6823116
Median Absolute Deviation (MAD)0.36
Skewness5.0369598
Sum334.78
Variance11.588229
MonotonicityNot monotonic
2023-12-10T15:30:28.401368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15 9
 
4.5%
0.59 8
 
4.0%
0.44 7
 
3.5%
0.69 6
 
3.0%
0.58 6
 
3.0%
0.7 4
 
2.0%
0.16 4
 
2.0%
0.77 4
 
2.0%
0.8 4
 
2.0%
0.43 4
 
2.0%
Other values (99) 143
71.9%
ValueCountFrequency (%)
0.14 3
 
1.5%
0.15 9
4.5%
0.16 4
2.0%
0.18 1
 
0.5%
0.19 3
 
1.5%
0.26 1
 
0.5%
0.29 1
 
0.5%
0.32 1
 
0.5%
0.33 1
 
0.5%
0.36 1
 
0.5%
ValueCountFrequency (%)
30.53 1
0.5%
16.45 1
0.5%
14.89 1
0.5%
14.48 1
0.5%
13.86 1
0.5%
13.7 1
0.5%
13.2 1
0.5%
12.75 1
0.5%
10.11 1
0.5%
6.76 1
0.5%

1.6
Real number (ℝ)

Distinct111
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3035678
Minimum0.17
Maximum38.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:28.628865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.17
5-th percentile0.19
Q10.675
median1.12
Q31.8
95-th percentile9.016
Maximum38.93
Range38.76
Interquartile range (IQR)1.125

Descriptive statistics

Standard deviation4.3749713
Coefficient of variation (CV)1.8992153
Kurtosis31.885708
Mean2.3035678
Median Absolute Deviation (MAD)0.56
Skewness5.0953333
Sum458.41
Variance19.140374
MonotonicityNot monotonic
2023-12-10T15:30:28.887095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.17 9
 
4.5%
0.85 8
 
4.0%
1.8 6
 
3.0%
0.87 5
 
2.5%
1.09 5
 
2.5%
1.52 5
 
2.5%
0.67 4
 
2.0%
0.2 4
 
2.0%
0.99 4
 
2.0%
1.02 4
 
2.0%
Other values (101) 145
72.9%
ValueCountFrequency (%)
0.17 9
4.5%
0.19 3
 
1.5%
0.2 4
2.0%
0.23 3
 
1.5%
0.27 1
 
0.5%
0.3 1
 
0.5%
0.35 1
 
0.5%
0.4 1
 
0.5%
0.46 3
 
1.5%
0.5 3
 
1.5%
ValueCountFrequency (%)
38.93 1
0.5%
26.85 1
0.5%
20.91 1
0.5%
18.16 1
0.5%
16.04 1
0.5%
14.84 1
0.5%
13.91 1
0.5%
12.91 1
0.5%
12.53 1
0.5%
10.78 1
0.5%

1.59
Real number (ℝ)

Distinct113
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2735176
Minimum0.14
Maximum42.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:29.121333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.15
Q10.57
median1.04
Q31.725
95-th percentile9.115
Maximum42.14
Range42
Interquartile range (IQR)1.155

Descriptive statistics

Standard deviation5.0695565
Coefficient of variation (CV)2.2298294
Kurtosis36.776762
Mean2.2735176
Median Absolute Deviation (MAD)0.55
Skewness5.6130545
Sum452.43
Variance25.700403
MonotonicityNot monotonic
2023-12-10T15:30:29.704953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.63 8
 
4.0%
0.14 8
 
4.0%
0.42 5
 
2.5%
0.97 5
 
2.5%
1.78 5
 
2.5%
0.17 4
 
2.0%
1.64 4
 
2.0%
1.09 4
 
2.0%
1.16 4
 
2.0%
0.74 4
 
2.0%
Other values (103) 148
74.4%
ValueCountFrequency (%)
0.14 8
4.0%
0.15 3
 
1.5%
0.16 1
 
0.5%
0.17 4
2.0%
0.2 3
 
1.5%
0.25 1
 
0.5%
0.29 1
 
0.5%
0.33 1
 
0.5%
0.35 1
 
0.5%
0.37 1
 
0.5%
ValueCountFrequency (%)
42.14 1
0.5%
40.38 1
0.5%
23.24 1
0.5%
18.84 1
0.5%
18.39 1
0.5%
16.03 1
0.5%
13.55 1
0.5%
13.17 1
0.5%
11.67 1
0.5%
9.7 1
0.5%

1.69
Real number (ℝ)

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2271859
Minimum0.15
Maximum39.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:29.913652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.15
Q10.55
median1.04
Q31.68
95-th percentile10.414
Maximum39.5
Range39.35
Interquartile range (IQR)1.13

Descriptive statistics

Standard deviation4.8017637
Coefficient of variation (CV)2.1559779
Kurtosis29.495545
Mean2.2271859
Median Absolute Deviation (MAD)0.52
Skewness5.0326229
Sum443.21
Variance23.056934
MonotonicityNot monotonic
2023-12-10T15:30:30.175702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15 11
 
5.5%
0.57 8
 
4.0%
1.05 6
 
3.0%
0.54 6
 
3.0%
0.61 4
 
2.0%
0.36 4
 
2.0%
1.46 4
 
2.0%
0.64 4
 
2.0%
0.18 4
 
2.0%
1.68 4
 
2.0%
Other values (104) 144
72.4%
ValueCountFrequency (%)
0.15 11
5.5%
0.16 1
 
0.5%
0.18 4
 
2.0%
0.2 3
 
1.5%
0.27 1
 
0.5%
0.33 1
 
0.5%
0.35 2
 
1.0%
0.36 4
 
2.0%
0.38 1
 
0.5%
0.4 2
 
1.0%
ValueCountFrequency (%)
39.5 1
0.5%
33.46 1
0.5%
23.26 1
0.5%
17.5 1
0.5%
16.86 1
0.5%
16.0 1
0.5%
15.81 1
0.5%
15.61 1
0.5%
14.96 1
0.5%
12.25 1
0.5%

1.73
Real number (ℝ)

Distinct106
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2597487
Minimum0.16
Maximum34.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:30.405820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.16
5-th percentile0.16
Q10.57
median1.03
Q31.7
95-th percentile10.576
Maximum34.26
Range34.1
Interquartile range (IQR)1.13

Descriptive statistics

Standard deviation4.6211196
Coefficient of variation (CV)2.0449705
Kurtosis19.380176
Mean2.2597487
Median Absolute Deviation (MAD)0.49
Skewness4.2380221
Sum449.69
Variance21.354746
MonotonicityNot monotonic
2023-12-10T15:30:30.639307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16 11
 
5.5%
0.6 8
 
4.0%
1.25 6
 
3.0%
0.62 5
 
2.5%
0.54 5
 
2.5%
0.57 5
 
2.5%
0.19 4
 
2.0%
0.88 4
 
2.0%
0.21 3
 
1.5%
0.36 3
 
1.5%
Other values (96) 145
72.9%
ValueCountFrequency (%)
0.16 11
5.5%
0.17 1
 
0.5%
0.19 4
 
2.0%
0.21 3
 
1.5%
0.29 1
 
0.5%
0.32 1
 
0.5%
0.36 3
 
1.5%
0.37 2
 
1.0%
0.38 1
 
0.5%
0.4 1
 
0.5%
ValueCountFrequency (%)
34.26 1
0.5%
23.75 1
0.5%
23.07 1
0.5%
22.08 1
0.5%
19.88 1
0.5%
18.88 1
0.5%
18.79 1
0.5%
17.14 1
0.5%
17.12 1
0.5%
11.08 1
0.5%

1.85
Real number (ℝ)

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2846231
Minimum0.19
Maximum34.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:30.905357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.19
Q10.66
median1.02
Q31.645
95-th percentile10.099
Maximum34.58
Range34.39
Interquartile range (IQR)0.985

Descriptive statistics

Standard deviation4.6560204
Coefficient of variation (CV)2.0379818
Kurtosis20.02294
Mean2.2846231
Median Absolute Deviation (MAD)0.45
Skewness4.304952
Sum454.64
Variance21.678526
MonotonicityNot monotonic
2023-12-10T15:30:31.138232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19 12
 
6.0%
0.66 8
 
4.0%
1.01 6
 
3.0%
0.75 6
 
3.0%
0.96 6
 
3.0%
0.71 5
 
2.5%
0.58 5
 
2.5%
0.57 5
 
2.5%
0.67 4
 
2.0%
0.44 4
 
2.0%
Other values (95) 138
69.3%
ValueCountFrequency (%)
0.19 12
6.0%
0.2 4
 
2.0%
0.24 3
 
1.5%
0.25 1
 
0.5%
0.33 1
 
0.5%
0.39 2
 
1.0%
0.41 1
 
0.5%
0.44 4
 
2.0%
0.45 1
 
0.5%
0.47 2
 
1.0%
ValueCountFrequency (%)
34.58 1
0.5%
24.95 1
0.5%
24.43 1
0.5%
21.6 1
0.5%
20.36 1
0.5%
18.94 1
0.5%
18.7 1
0.5%
16.59 1
0.5%
16.51 1
0.5%
10.27 1
0.5%
Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:30:31.753971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length24.879397
Min length19

Characters and Unicode

Total characters4951
Distinct characters157
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

Unique199 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 삼성동 10-4번지 예주빌라
2nd row서울특별시 강남구 삼성동 100-7번지 월드빌라
3rd row서울특별시 강북구 번동 471-86번지
4th row서울특별시 강서구 등촌동 707번지 등촌주공8단지아파트 703동
5th row서울특별시 강서구 화곡동 102-9번지 한울어울림 가동
ValueCountFrequency (%)
서울특별시 199
21.9%
강북구 93
 
10.2%
강서구 60
 
6.6%
강남구 46
 
5.1%
미아동 45
 
5.0%
화곡동 41
 
4.5%
수유동 30
 
3.3%
번동 14
 
1.5%
삼성동 10
 
1.1%
논현동 8
 
0.9%
Other values (309) 362
39.9%
2023-12-10T15:30:32.680441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
709
 
14.3%
266
 
5.4%
241
 
4.9%
213
 
4.3%
210
 
4.2%
206
 
4.2%
1 205
 
4.1%
202
 
4.1%
200
 
4.0%
200
 
4.0%
Other values (147) 2299
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3033
61.3%
Decimal Number 1017
 
20.5%
Space Separator 709
 
14.3%
Dash Punctuation 183
 
3.7%
Uppercase Letter 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
266
 
8.8%
241
 
7.9%
213
 
7.0%
210
 
6.9%
206
 
6.8%
202
 
6.7%
200
 
6.6%
200
 
6.6%
199
 
6.6%
199
 
6.6%
Other values (133) 897
29.6%
Decimal Number
ValueCountFrequency (%)
1 205
20.2%
4 118
11.6%
2 112
11.0%
3 102
10.0%
5 97
9.5%
6 91
8.9%
7 81
 
8.0%
0 80
 
7.9%
8 75
 
7.4%
9 56
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 6
66.7%
A 3
33.3%
Space Separator
ValueCountFrequency (%)
709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3033
61.3%
Common 1909
38.6%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
266
 
8.8%
241
 
7.9%
213
 
7.0%
210
 
6.9%
206
 
6.8%
202
 
6.7%
200
 
6.6%
200
 
6.6%
199
 
6.6%
199
 
6.6%
Other values (133) 897
29.6%
Common
ValueCountFrequency (%)
709
37.1%
1 205
 
10.7%
- 183
 
9.6%
4 118
 
6.2%
2 112
 
5.9%
3 102
 
5.3%
5 97
 
5.1%
6 91
 
4.8%
7 81
 
4.2%
0 80
 
4.2%
Other values (2) 131
 
6.9%
Latin
ValueCountFrequency (%)
B 6
66.7%
A 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3033
61.3%
ASCII 1918
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
709
37.0%
1 205
 
10.7%
- 183
 
9.5%
4 118
 
6.2%
2 112
 
5.8%
3 102
 
5.3%
5 97
 
5.1%
6 91
 
4.7%
7 81
 
4.2%
0 80
 
4.2%
Other values (4) 140
 
7.3%
Hangul
ValueCountFrequency (%)
266
 
8.8%
241
 
7.9%
213
 
7.0%
210
 
6.9%
206
 
6.8%
202
 
6.7%
200
 
6.6%
200
 
6.6%
199
 
6.6%
199
 
6.6%
Other values (133) 897
29.6%

1.97
Real number (ℝ)

Distinct107
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3717588
Minimum0.23
Maximum42.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:32.939411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.23
5-th percentile0.24
Q10.71
median1.06
Q31.71
95-th percentile10.352
Maximum42.62
Range42.39
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.9090887
Coefficient of variation (CV)2.0698094
Kurtosis28.264281
Mean2.3717588
Median Absolute Deviation (MAD)0.42
Skewness4.8548792
Sum471.98
Variance24.099152
MonotonicityNot monotonic
2023-12-10T15:30:33.195960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.71 11
 
5.5%
0.23 9
 
4.5%
0.24 8
 
4.0%
0.92 5
 
2.5%
0.91 4
 
2.0%
0.78 4
 
2.0%
1.06 4
 
2.0%
0.84 4
 
2.0%
1.03 4
 
2.0%
0.69 4
 
2.0%
Other values (97) 142
71.4%
ValueCountFrequency (%)
0.23 9
4.5%
0.24 8
4.0%
0.27 3
 
1.5%
0.4 1
 
0.5%
0.42 1
 
0.5%
0.43 1
 
0.5%
0.46 1
 
0.5%
0.47 1
 
0.5%
0.49 2
 
1.0%
0.52 3
 
1.5%
ValueCountFrequency (%)
42.62 1
0.5%
23.77 1
0.5%
21.69 1
0.5%
21.63 1
0.5%
20.36 1
0.5%
20.08 1
0.5%
19.26 1
0.5%
16.81 1
0.5%
16.55 1
0.5%
11.09 1
0.5%

1.59.1
Real number (ℝ)

Distinct108
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2052261
Minimum0.21
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:33.440196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.229
Q10.68
median0.97
Q31.54
95-th percentile9.314
Maximum48
Range47.79
Interquartile range (IQR)0.86

Descriptive statistics

Standard deviation5.0503565
Coefficient of variation (CV)2.2901762
Kurtosis41.020827
Mean2.2052261
Median Absolute Deviation (MAD)0.37
Skewness5.8005351
Sum438.84
Variance25.506101
MonotonicityNot monotonic
2023-12-10T15:30:33.713031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.68 9
 
4.5%
0.21 9
 
4.5%
0.77 7
 
3.5%
0.24 7
 
3.5%
0.72 5
 
2.5%
0.97 5
 
2.5%
0.63 5
 
2.5%
1.21 4
 
2.0%
0.79 4
 
2.0%
1.52 3
 
1.5%
Other values (98) 141
70.9%
ValueCountFrequency (%)
0.21 9
4.5%
0.22 1
 
0.5%
0.23 3
 
1.5%
0.24 7
3.5%
0.36 1
 
0.5%
0.37 1
 
0.5%
0.38 1
 
0.5%
0.44 1
 
0.5%
0.45 1
 
0.5%
0.46 1
 
0.5%
ValueCountFrequency (%)
48.0 1
0.5%
29.2 1
0.5%
26.22 1
0.5%
19.47 1
0.5%
16.53 1
0.5%
16.26 1
0.5%
16.11 1
0.5%
13.63 1
0.5%
12.81 1
0.5%
9.71 1
0.5%

1.6.1
Real number (ℝ)

Distinct107
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4184925
Minimum0.22
Maximum55.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:33.957803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile0.259
Q10.7
median1.01
Q31.66
95-th percentile8.416
Maximum55.59
Range55.37
Interquartile range (IQR)0.96

Descriptive statistics

Standard deviation5.9402005
Coefficient of variation (CV)2.4561584
Kurtosis43.16598
Mean2.4184925
Median Absolute Deviation (MAD)0.42
Skewness6.0828972
Sum481.28
Variance35.285983
MonotonicityNot monotonic
2023-12-10T15:30:34.210207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.26 10
 
5.0%
0.7 8
 
4.0%
0.22 8
 
4.0%
0.83 5
 
2.5%
0.84 5
 
2.5%
1.01 4
 
2.0%
0.55 4
 
2.0%
0.71 4
 
2.0%
0.53 4
 
2.0%
0.5 4
 
2.0%
Other values (97) 143
71.9%
ValueCountFrequency (%)
0.22 8
4.0%
0.23 1
 
0.5%
0.25 1
 
0.5%
0.26 10
5.0%
0.34 1
 
0.5%
0.39 1
 
0.5%
0.43 1
 
0.5%
0.47 1
 
0.5%
0.5 4
 
2.0%
0.53 4
 
2.0%
ValueCountFrequency (%)
55.59 1
0.5%
36.98 1
0.5%
36.27 1
0.5%
22.65 1
0.5%
16.92 1
0.5%
16.17 1
0.5%
15.47 1
0.5%
15.23 1
0.5%
11.99 1
0.5%
10.09 1
0.5%

1.21
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9279899
Minimum0.17
Maximum41.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:34.500713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.17
5-th percentile0.19
Q10.525
median0.78
Q31.325
95-th percentile7.046
Maximum41.01
Range40.84
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation4.8739847
Coefficient of variation (CV)2.5280136
Kurtosis38.779308
Mean1.9279899
Median Absolute Deviation (MAD)0.33
Skewness5.912766
Sum383.67
Variance23.755727
MonotonicityNot monotonic
2023-12-10T15:30:34.751747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.17 9
 
4.5%
0.52 8
 
4.0%
0.59 8
 
4.0%
0.2 7
 
3.5%
0.62 5
 
2.5%
0.78 5
 
2.5%
0.66 4
 
2.0%
0.51 4
 
2.0%
0.19 4
 
2.0%
0.81 4
 
2.0%
Other values (90) 141
70.9%
ValueCountFrequency (%)
0.17 9
4.5%
0.19 4
2.0%
0.2 7
3.5%
0.28 1
 
0.5%
0.3 1
 
0.5%
0.31 1
 
0.5%
0.35 2
 
1.0%
0.38 1
 
0.5%
0.39 1
 
0.5%
0.4 3
 
1.5%
ValueCountFrequency (%)
41.01 1
0.5%
35.95 1
0.5%
30.99 1
0.5%
19.11 1
0.5%
14.46 1
0.5%
12.82 1
0.5%
11.84 1
0.5%
11.02 1
0.5%
8.55 1
0.5%
8.54 1
0.5%

0.75
Real number (ℝ)

Distinct94
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3885427
Minimum0.12
Maximum26.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:34.981485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.149
Q10.44
median0.59
Q30.94
95-th percentile5.831
Maximum26.55
Range26.43
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation3.3507349
Coefficient of variation (CV)2.4131306
Kurtosis35.934783
Mean1.3885427
Median Absolute Deviation (MAD)0.23
Skewness5.7042875
Sum276.32
Variance11.227425
MonotonicityNot monotonic
2023-12-10T15:30:35.242647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.44 10
 
5.0%
0.13 8
 
4.0%
0.49 8
 
4.0%
0.46 7
 
3.5%
0.45 7
 
3.5%
0.15 6
 
3.0%
0.72 6
 
3.0%
0.78 5
 
2.5%
0.47 5
 
2.5%
0.3 5
 
2.5%
Other values (84) 132
66.3%
ValueCountFrequency (%)
0.12 1
 
0.5%
0.13 8
4.0%
0.14 1
 
0.5%
0.15 6
3.0%
0.16 4
2.0%
0.2 1
 
0.5%
0.21 1
 
0.5%
0.22 1
 
0.5%
0.24 1
 
0.5%
0.29 2
 
1.0%
ValueCountFrequency (%)
26.55 1
0.5%
25.51 1
0.5%
21.6 1
0.5%
13.57 1
0.5%
10.08 1
0.5%
9.13 1
0.5%
8.53 1
0.5%
7.88 1
0.5%
6.61 1
0.5%
6.29 1
0.5%

0.45
Real number (ℝ)

Distinct84
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9958794
Minimum0.09
Maximum18.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:35.455462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.12
Q10.325
median0.42
Q30.68
95-th percentile4.282
Maximum18.82
Range18.73
Interquartile range (IQR)0.355

Descriptive statistics

Standard deviation2.3741608
Coefficient of variation (CV)2.3839843
Kurtosis35.881136
Mean0.9958794
Median Absolute Deviation (MAD)0.17
Skewness5.7129633
Sum198.18
Variance5.6366395
MonotonicityNot monotonic
2023-12-10T15:30:35.693723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12 11
 
5.5%
0.34 8
 
4.0%
0.1 8
 
4.0%
0.38 7
 
3.5%
0.37 7
 
3.5%
0.33 7
 
3.5%
0.39 7
 
3.5%
0.41 6
 
3.0%
0.25 6
 
3.0%
0.35 5
 
2.5%
Other values (74) 127
63.8%
ValueCountFrequency (%)
0.09 1
 
0.5%
0.1 8
4.0%
0.12 11
5.5%
0.15 2
 
1.0%
0.17 2
 
1.0%
0.18 1
 
0.5%
0.22 2
 
1.0%
0.23 2
 
1.0%
0.24 2
 
1.0%
0.25 6
3.0%
ValueCountFrequency (%)
18.82 1
0.5%
17.36 1
0.5%
16.39 1
0.5%
9.34 1
0.5%
7.65 1
0.5%
5.78 1
0.5%
5.57 1
0.5%
5.47 1
0.5%
4.98 1
0.5%
4.48 1
0.5%

0.44
Real number (ℝ)

Distinct82
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1292965
Minimum0.1
Maximum31.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:35.945088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.12
Q10.325
median0.43
Q30.69
95-th percentile4.172
Maximum31.47
Range31.37
Interquartile range (IQR)0.365

Descriptive statistics

Standard deviation3.1447392
Coefficient of variation (CV)2.7846887
Kurtosis54.546002
Mean1.1292965
Median Absolute Deviation (MAD)0.16
Skewness6.8608317
Sum224.73
Variance9.8893844
MonotonicityNot monotonic
2023-12-10T15:30:36.175403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.33 11
 
5.5%
0.4 11
 
5.5%
0.1 9
 
4.5%
0.12 6
 
3.0%
0.14 6
 
3.0%
0.48 6
 
3.0%
0.3 5
 
2.5%
0.27 5
 
2.5%
0.32 5
 
2.5%
0.42 5
 
2.5%
Other values (72) 130
65.3%
ValueCountFrequency (%)
0.1 9
4.5%
0.12 6
3.0%
0.14 6
3.0%
0.15 1
 
0.5%
0.18 1
 
0.5%
0.19 1
 
0.5%
0.2 1
 
0.5%
0.21 1
 
0.5%
0.22 3
 
1.5%
0.24 2
 
1.0%
ValueCountFrequency (%)
31.47 1
0.5%
19.4 1
0.5%
19.3 1
0.5%
10.47 1
0.5%
9.0 1
0.5%
6.22 1
0.5%
6.21 1
0.5%
6.04 1
0.5%
5.22 1
0.5%
4.82 1
0.5%

10.37
Real number (ℝ)

Distinct131
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.110251
Minimum1.2
Maximum260.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:36.443488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.26
Q14.23
median6.34
Q310.39
95-th percentile57.958
Maximum260.22
Range259.02
Interquartile range (IQR)6.16

Descriptive statistics

Standard deviation29.955257
Coefficient of variation (CV)2.1229429
Kurtosis29.844599
Mean14.110251
Median Absolute Deviation (MAD)2.59
Skewness5.0082768
Sum2807.94
Variance897.31743
MonotonicityNot monotonic
2023-12-10T15:30:36.693230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.23 8
 
4.0%
1.2 8
 
4.0%
8.9 5
 
2.5%
4.77 4
 
2.0%
4.33 4
 
2.0%
1.35 4
 
2.0%
6.12 4
 
2.0%
3.62 3
 
1.5%
4.76 3
 
1.5%
6.28 3
 
1.5%
Other values (121) 153
76.9%
ValueCountFrequency (%)
1.2 8
4.0%
1.25 1
 
0.5%
1.26 3
 
1.5%
1.35 4
2.0%
1.43 3
 
1.5%
1.76 1
 
0.5%
2.13 1
 
0.5%
2.32 1
 
0.5%
2.7 1
 
0.5%
2.71 1
 
0.5%
ValueCountFrequency (%)
260.22 1
0.5%
171.21 1
0.5%
145.46 1
0.5%
121.24 1
0.5%
117.66 1
0.5%
114.94 1
0.5%
107.39 1
0.5%
89.11 1
0.5%
85.63 1
0.5%
79.9 1
0.5%

0.35
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3738191
Minimum0.02
Maximum7.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:37.323521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.03
Q10.07
median0.14
Q30.26
95-th percentile2.34
Maximum7.23
Range7.21
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.87508931
Coefficient of variation (CV)2.3409433
Kurtosis27.952949
Mean0.3738191
Median Absolute Deviation (MAD)0.07
Skewness4.9048219
Sum74.39
Variance0.7657813
MonotonicityNot monotonic
2023-12-10T15:30:37.565427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07 17
 
8.5%
0.03 16
 
8.0%
0.08 11
 
5.5%
0.06 9
 
4.5%
0.13 8
 
4.0%
0.11 8
 
4.0%
0.14 8
 
4.0%
0.21 7
 
3.5%
0.09 7
 
3.5%
0.18 7
 
3.5%
Other values (48) 101
50.8%
ValueCountFrequency (%)
0.02 3
 
1.5%
0.03 16
8.0%
0.04 4
 
2.0%
0.05 4
 
2.0%
0.06 9
4.5%
0.07 17
8.5%
0.08 11
5.5%
0.09 7
3.5%
0.1 3
 
1.5%
0.11 8
4.0%
ValueCountFrequency (%)
7.23 1
0.5%
5.57 1
0.5%
4.22 1
0.5%
3.52 1
0.5%
3.37 1
0.5%
2.98 1
0.5%
2.63 1
0.5%
2.61 1
0.5%
2.6 1
0.5%
2.34 2
1.0%

0.42
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50170854
Minimum0.03
Maximum8.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:37.819060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.04
Q10.09
median0.17
Q30.33
95-th percentile2.569
Maximum8.1
Range8.07
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation1.1625334
Coefficient of variation (CV)2.3171489
Kurtosis21.657837
Mean0.50170854
Median Absolute Deviation (MAD)0.09
Skewness4.5216604
Sum99.84
Variance1.3514839
MonotonicityNot monotonic
2023-12-10T15:30:38.070678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04 16
 
8.0%
0.09 15
 
7.5%
0.14 13
 
6.5%
0.08 11
 
5.5%
0.24 8
 
4.0%
0.11 8
 
4.0%
0.16 7
 
3.5%
0.17 6
 
3.0%
0.31 6
 
3.0%
0.12 6
 
3.0%
Other values (57) 103
51.8%
ValueCountFrequency (%)
0.03 3
 
1.5%
0.04 16
8.0%
0.05 1
 
0.5%
0.06 5
 
2.5%
0.07 2
 
1.0%
0.08 11
5.5%
0.09 15
7.5%
0.1 2
 
1.0%
0.11 8
4.0%
0.12 6
 
3.0%
ValueCountFrequency (%)
8.1 1
0.5%
7.17 1
0.5%
6.67 1
0.5%
5.66 1
0.5%
5.56 1
0.5%
4.73 1
0.5%
3.44 1
0.5%
3.33 1
0.5%
2.97 1
0.5%
2.74 1
0.5%
Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:30:38.652094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length23.497487
Min length1

Characters and Unicode

Total characters4676
Distinct characters192
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 학동로56길 41 예주빌라
2nd row서울특별시 강남구 봉은사로111길 18-5 월드빌라
3rd row서울특별시 강북구 도봉로96다길 19-5
4th row서울특별시 강서구 공항대로43길 104 등촌주공8단지아파트 703동
5th row서울특별시 강서구 까치산로4길 61-7 한울어울림 가동
ValueCountFrequency (%)
서울특별시 198
21.9%
강북구 93
 
10.3%
강서구 59
 
6.5%
강남구 46
 
5.1%
16 6
 
0.7%
b동 6
 
0.7%
1동 5
 
0.6%
39 4
 
0.4%
10 4
 
0.4%
12 4
 
0.4%
Other values (413) 480
53.0%
2023-12-10T15:30:39.479713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
706
 
15.1%
272
 
5.8%
1 232
 
5.0%
216
 
4.6%
202
 
4.3%
201
 
4.3%
200
 
4.3%
199
 
4.3%
198
 
4.2%
198
 
4.2%
Other values (182) 2052
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2925
62.6%
Decimal Number 953
 
20.4%
Space Separator 706
 
15.1%
Dash Punctuation 80
 
1.7%
Uppercase Letter 10
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
272
 
9.3%
216
 
7.4%
202
 
6.9%
201
 
6.9%
200
 
6.8%
199
 
6.8%
198
 
6.8%
198
 
6.8%
180
 
6.2%
95
 
3.2%
Other values (166) 964
33.0%
Decimal Number
ValueCountFrequency (%)
1 232
24.3%
3 119
12.5%
2 97
10.2%
5 93
9.8%
6 88
 
9.2%
4 84
 
8.8%
7 74
 
7.8%
9 60
 
6.3%
8 53
 
5.6%
0 53
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
60.0%
A 3
30.0%
X 1
 
10.0%
Space Separator
ValueCountFrequency (%)
706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2925
62.6%
Common 1741
37.2%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
272
 
9.3%
216
 
7.4%
202
 
6.9%
201
 
6.9%
200
 
6.8%
199
 
6.8%
198
 
6.8%
198
 
6.8%
180
 
6.2%
95
 
3.2%
Other values (166) 964
33.0%
Common
ValueCountFrequency (%)
706
40.6%
1 232
 
13.3%
3 119
 
6.8%
2 97
 
5.6%
5 93
 
5.3%
6 88
 
5.1%
4 84
 
4.8%
- 80
 
4.6%
7 74
 
4.3%
9 60
 
3.4%
Other values (3) 108
 
6.2%
Latin
ValueCountFrequency (%)
B 6
60.0%
A 3
30.0%
X 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2925
62.6%
ASCII 1751
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
706
40.3%
1 232
 
13.2%
3 119
 
6.8%
2 97
 
5.5%
5 93
 
5.3%
6 88
 
5.0%
4 84
 
4.8%
- 80
 
4.6%
7 74
 
4.2%
9 60
 
3.4%
Other values (6) 118
 
6.7%
Hangul
ValueCountFrequency (%)
272
 
9.3%
216
 
7.4%
202
 
6.9%
201
 
6.9%
200
 
6.8%
199
 
6.8%
198
 
6.8%
198
 
6.8%
180
 
6.2%
95
 
3.2%
Other values (166) 964
33.0%

0.52
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55100503
Minimum0.03
Maximum7.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:39.734492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.04
Q10.1
median0.19
Q30.35
95-th percentile2.459
Maximum7.98
Range7.95
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation1.2531278
Coefficient of variation (CV)2.2742584
Kurtosis19.718789
Mean0.55100503
Median Absolute Deviation (MAD)0.1
Skewness4.3738332
Sum109.65
Variance1.5703293
MonotonicityNot monotonic
2023-12-10T15:30:39.950645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 18
 
9.0%
0.13 15
 
7.5%
0.17 12
 
6.0%
0.04 11
 
5.5%
0.26 8
 
4.0%
0.09 8
 
4.0%
0.19 6
 
3.0%
0.15 5
 
2.5%
0.05 5
 
2.5%
0.33 4
 
2.0%
Other values (57) 107
53.8%
ValueCountFrequency (%)
0.03 3
 
1.5%
0.04 11
5.5%
0.05 5
 
2.5%
0.06 1
 
0.5%
0.07 2
 
1.0%
0.08 3
 
1.5%
0.09 8
4.0%
0.1 18
9.0%
0.12 3
 
1.5%
0.13 15
7.5%
ValueCountFrequency (%)
7.98 1
0.5%
7.81 1
0.5%
7.0 1
0.5%
6.18 1
0.5%
6.16 1
0.5%
5.89 1
0.5%
4.64 1
0.5%
3.33 1
0.5%
2.99 1
0.5%
2.81 1
0.5%

0.52.1
Real number (ℝ)

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.60035176
Minimum0.04
Maximum10.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:40.196161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.05
Q10.14
median0.24
Q30.385
95-th percentile2.268
Maximum10.96
Range10.92
Interquartile range (IQR)0.245

Descriptive statistics

Standard deviation1.363003
Coefficient of variation (CV)2.2703406
Kurtosis25.638355
Mean0.60035176
Median Absolute Deviation (MAD)0.11
Skewness4.7825175
Sum119.47
Variance1.8577771
MonotonicityNot monotonic
2023-12-10T15:30:40.413012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.14 16
 
8.0%
0.06 9
 
4.5%
0.13 9
 
4.5%
0.18 9
 
4.5%
0.15 7
 
3.5%
0.3 7
 
3.5%
0.05 7
 
3.5%
0.17 7
 
3.5%
0.23 7
 
3.5%
0.1 6
 
3.0%
Other values (62) 115
57.8%
ValueCountFrequency (%)
0.04 4
 
2.0%
0.05 7
3.5%
0.06 9
4.5%
0.09 5
 
2.5%
0.1 6
 
3.0%
0.11 1
 
0.5%
0.12 1
 
0.5%
0.13 9
4.5%
0.14 16
8.0%
0.15 7
3.5%
ValueCountFrequency (%)
10.96 1
0.5%
7.63 1
0.5%
7.37 1
0.5%
5.91 1
0.5%
5.74 1
0.5%
5.72 1
0.5%
5.43 1
0.5%
3.87 1
0.5%
3.47 1
0.5%
2.88 1
0.5%

0.68
Real number (ℝ)

Distinct80
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81517588
Minimum0.07
Maximum15.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:40.606550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.08
Q10.245
median0.39
Q30.58
95-th percentile3.346
Maximum15.75
Range15.68
Interquartile range (IQR)0.335

Descriptive statistics

Standard deviation1.718986
Coefficient of variation (CV)2.1087302
Kurtosis33.573595
Mean0.81517588
Median Absolute Deviation (MAD)0.16
Skewness5.2132219
Sum162.22
Variance2.954913
MonotonicityNot monotonic
2023-12-10T15:30:40.839036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27 14
 
7.0%
0.08 12
 
6.0%
0.31 8
 
4.0%
0.24 8
 
4.0%
0.47 7
 
3.5%
0.18 7
 
3.5%
0.44 6
 
3.0%
0.58 6
 
3.0%
0.4 5
 
2.5%
0.26 5
 
2.5%
Other values (70) 121
60.8%
ValueCountFrequency (%)
0.07 4
 
2.0%
0.08 12
6.0%
0.09 4
 
2.0%
0.14 1
 
0.5%
0.16 3
 
1.5%
0.17 1
 
0.5%
0.18 7
3.5%
0.2 3
 
1.5%
0.21 3
 
1.5%
0.22 1
 
0.5%
ValueCountFrequency (%)
15.75 1
0.5%
8.15 1
0.5%
7.48 1
0.5%
7.25 1
0.5%
6.99 1
0.5%
6.8 1
0.5%
6.32 1
0.5%
6.28 1
0.5%
5.27 1
0.5%
3.49 1
0.5%

0.8
Real number (ℝ)

Distinct96
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1135176
Minimum0.09
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:41.088698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.1
Q10.34
median0.54
Q30.91
95-th percentile4.096
Maximum19
Range18.91
Interquartile range (IQR)0.57

Descriptive statistics

Standard deviation2.103545
Coefficient of variation (CV)1.8890991
Kurtosis32.870646
Mean1.1135176
Median Absolute Deviation (MAD)0.26
Skewness5.164569
Sum221.59
Variance4.4249017
MonotonicityNot monotonic
2023-12-10T15:30:41.355499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.45 9
 
4.5%
0.09 9
 
4.5%
0.1 7
 
3.5%
0.51 6
 
3.0%
0.35 6
 
3.0%
0.28 6
 
3.0%
0.84 5
 
2.5%
0.26 5
 
2.5%
0.54 5
 
2.5%
0.41 4
 
2.0%
Other values (86) 137
68.8%
ValueCountFrequency (%)
0.09 9
4.5%
0.1 7
3.5%
0.12 3
 
1.5%
0.14 1
 
0.5%
0.15 1
 
0.5%
0.18 1
 
0.5%
0.2 1
 
0.5%
0.23 2
 
1.0%
0.24 2
 
1.0%
0.26 5
2.5%
ValueCountFrequency (%)
19.0 1
0.5%
12.25 1
0.5%
10.1 1
0.5%
9.47 1
0.5%
7.85 1
0.5%
7.18 1
0.5%
6.87 1
0.5%
5.72 1
0.5%
5.66 1
0.5%
5.32 1
0.5%

0.76
Real number (ℝ)

Distinct96
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.130402
Minimum0.07
Maximum21.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:41.604636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.08
Q10.29
median0.53
Q30.87
95-th percentile4.351
Maximum21.97
Range21.9
Interquartile range (IQR)0.58

Descriptive statistics

Standard deviation2.48559
Coefficient of variation (CV)2.1988549
Kurtosis38.896739
Mean1.130402
Median Absolute Deviation (MAD)0.28
Skewness5.7450731
Sum224.95
Variance6.1781574
MonotonicityNot monotonic
2023-12-10T15:30:41.815036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.35 9
 
4.5%
0.33 9
 
4.5%
0.07 8
 
4.0%
0.08 7
 
3.5%
0.53 7
 
3.5%
0.29 6
 
3.0%
0.41 6
 
3.0%
0.88 6
 
3.0%
0.22 6
 
3.0%
0.24 5
 
2.5%
Other values (86) 130
65.3%
ValueCountFrequency (%)
0.07 8
4.0%
0.08 7
3.5%
0.09 1
 
0.5%
0.1 3
 
1.5%
0.13 1
 
0.5%
0.15 1
 
0.5%
0.16 1
 
0.5%
0.17 1
 
0.5%
0.18 1
 
0.5%
0.19 2
 
1.0%
ValueCountFrequency (%)
21.97 1
0.5%
18.69 1
0.5%
11.36 1
0.5%
9.92 1
0.5%
8.72 1
0.5%
7.28 1
0.5%
6.43 1
0.5%
6.01 1
0.5%
5.61 1
0.5%
4.36 1
0.5%

0.82
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1184422
Minimum0.08
Maximum20.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:42.025360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.08
Q10.3
median0.53
Q30.845
95-th percentile5.042
Maximum20.28
Range20.2
Interquartile range (IQR)0.545

Descriptive statistics

Standard deviation2.442032
Coefficient of variation (CV)2.1834226
Kurtosis32.90305
Mean1.1184422
Median Absolute Deviation (MAD)0.25
Skewness5.3142986
Sum222.57
Variance5.9635203
MonotonicityNot monotonic
2023-12-10T15:30:42.388038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 15
 
7.5%
0.08 12
 
6.0%
0.1 7
 
3.5%
0.63 5
 
2.5%
0.24 5
 
2.5%
0.32 5
 
2.5%
0.72 4
 
2.0%
0.7 4
 
2.0%
0.4 4
 
2.0%
0.23 4
 
2.0%
Other values (85) 134
67.3%
ValueCountFrequency (%)
0.08 12
6.0%
0.1 7
3.5%
0.14 1
 
0.5%
0.16 1
 
0.5%
0.18 1
 
0.5%
0.19 2
 
1.0%
0.2 4
 
2.0%
0.21 2
 
1.0%
0.22 1
 
0.5%
0.23 4
 
2.0%
ValueCountFrequency (%)
20.28 1
0.5%
18.11 1
0.5%
12.0 1
0.5%
9.13 1
0.5%
8.45 1
0.5%
7.95 1
0.5%
7.33 1
0.5%
6.99 1
0.5%
6.26 1
0.5%
5.69 1
0.5%

0.84
Real number (ℝ)

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1242211
Minimum0.09
Maximum17.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:42.651372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.09
Q10.29
median0.54
Q30.885
95-th percentile5.145
Maximum17.14
Range17.05
Interquartile range (IQR)0.595

Descriptive statistics

Standard deviation2.2572617
Coefficient of variation (CV)2.007845
Kurtosis20.60667
Mean1.1242211
Median Absolute Deviation (MAD)0.25
Skewness4.3235073
Sum223.72
Variance5.0952306
MonotonicityNot monotonic
2023-12-10T15:30:42.922214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 12
 
6.0%
0.33 8
 
4.0%
0.29 8
 
4.0%
0.34 6
 
3.0%
0.57 5
 
2.5%
0.26 5
 
2.5%
0.66 5
 
2.5%
0.6 5
 
2.5%
0.92 5
 
2.5%
0.89 5
 
2.5%
Other values (80) 135
67.8%
ValueCountFrequency (%)
0.09 12
6.0%
0.1 4
 
2.0%
0.11 3
 
1.5%
0.15 1
 
0.5%
0.17 1
 
0.5%
0.18 1
 
0.5%
0.19 3
 
1.5%
0.2 2
 
1.0%
0.21 2
 
1.0%
0.22 2
 
1.0%
ValueCountFrequency (%)
17.14 1
0.5%
12.86 1
0.5%
10.41 1
0.5%
10.2 1
0.5%
9.88 1
0.5%
9.03 1
0.5%
8.79 1
0.5%
8.21 1
0.5%
7.91 1
0.5%
6.0 1
0.5%

0.85.1
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1288442
Minimum0.09
Maximum15.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:43.164659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.1
Q10.32
median0.52
Q30.82
95-th percentile5.147
Maximum15.86
Range15.77
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation2.2538968
Coefficient of variation (CV)1.9966411
Kurtosis18.065616
Mean1.1288442
Median Absolute Deviation (MAD)0.23
Skewness4.1500175
Sum224.64
Variance5.0800507
MonotonicityNot monotonic
2023-12-10T15:30:43.435511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.34 13
 
6.5%
0.09 8
 
4.0%
0.1 8
 
4.0%
0.38 7
 
3.5%
0.28 5
 
2.5%
0.51 5
 
2.5%
0.23 4
 
2.0%
0.48 4
 
2.0%
0.58 4
 
2.0%
0.77 3
 
1.5%
Other values (88) 138
69.3%
ValueCountFrequency (%)
0.09 8
4.0%
0.1 8
4.0%
0.12 3
 
1.5%
0.13 1
 
0.5%
0.17 1
 
0.5%
0.18 1
 
0.5%
0.2 1
 
0.5%
0.21 1
 
0.5%
0.22 1
 
0.5%
0.23 4
2.0%
ValueCountFrequency (%)
15.86 1
0.5%
12.04 1
0.5%
11.83 1
0.5%
11.16 1
0.5%
9.73 1
0.5%
9.17 1
0.5%
8.81 1
0.5%
8.75 1
0.5%
8.43 1
0.5%
5.21 1
0.5%

0.95
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1532663
Minimum0.11
Maximum19.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:43.711270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.12
Q10.36
median0.51
Q30.815
95-th percentile5.032
Maximum19.29
Range19.18
Interquartile range (IQR)0.455

Descriptive statistics

Standard deviation2.3345763
Coefficient of variation (CV)2.0243167
Kurtosis24.621828
Mean1.1532663
Median Absolute Deviation (MAD)0.22
Skewness4.6120397
Sum229.5
Variance5.4502463
MonotonicityNot monotonic
2023-12-10T15:30:44.002233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.38 15
 
7.5%
0.11 9
 
4.5%
0.12 7
 
3.5%
0.51 6
 
3.0%
0.36 6
 
3.0%
0.42 6
 
3.0%
0.34 5
 
2.5%
0.13 4
 
2.0%
0.58 4
 
2.0%
0.46 4
 
2.0%
Other values (85) 133
66.8%
ValueCountFrequency (%)
0.11 9
4.5%
0.12 7
3.5%
0.13 4
2.0%
0.2 2
 
1.0%
0.21 1
 
0.5%
0.22 1
 
0.5%
0.24 1
 
0.5%
0.25 3
 
1.5%
0.26 4
2.0%
0.27 1
 
0.5%
ValueCountFrequency (%)
19.29 1
0.5%
11.4 1
0.5%
10.93 1
0.5%
10.69 1
0.5%
10.23 1
0.5%
9.5 1
0.5%
8.94 1
0.5%
8.29 1
0.5%
8.26 1
0.5%
5.32 1
0.5%

0.81
Real number (ℝ)

Distinct84
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0592965
Minimum0.1
Maximum22.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:44.248279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.11
Q10.335
median0.46
Q30.76
95-th percentile4.654
Maximum22.29
Range22.19
Interquartile range (IQR)0.425

Descriptive statistics

Standard deviation2.3614643
Coefficient of variation (CV)2.2292761
Kurtosis39.587448
Mean1.0592965
Median Absolute Deviation (MAD)0.2
Skewness5.6890276
Sum210.8
Variance5.5765136
MonotonicityNot monotonic
2023-12-10T15:30:44.867205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.11 16
 
8.0%
0.36 9
 
4.5%
0.31 6
 
3.0%
0.76 6
 
3.0%
0.46 5
 
2.5%
0.35 5
 
2.5%
0.37 5
 
2.5%
0.43 5
 
2.5%
0.38 4
 
2.0%
0.39 4
 
2.0%
Other values (74) 134
67.3%
ValueCountFrequency (%)
0.1 1
 
0.5%
0.11 16
8.0%
0.12 3
 
1.5%
0.17 2
 
1.0%
0.19 1
 
0.5%
0.22 2
 
1.0%
0.23 3
 
1.5%
0.24 1
 
0.5%
0.25 3
 
1.5%
0.26 3
 
1.5%
ValueCountFrequency (%)
22.29 1
0.5%
13.51 1
0.5%
12.07 1
0.5%
9.26 1
0.5%
7.95 1
0.5%
7.84 1
0.5%
7.74 1
0.5%
6.3 1
0.5%
6.0 1
0.5%
5.05 1
0.5%

11680690
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11451068
Minimum11305534
Maximum11680750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:45.111080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11305534
5-th percentile11305534
Q111305595
median11500540
Q311500625
95-th percentile11680691
Maximum11680750
Range375216
Interquartile range (IQR)195030

Descriptive statistics

Standard deviation151412.23
Coefficient of variation (CV)0.013222543
Kurtosis-1.3647067
Mean11451068
Median Absolute Deviation (MAD)180190
Skewness0.4076003
Sum2.2787625 × 109
Variance2.2925665 × 1010
MonotonicityNot monotonic
2023-12-10T15:30:45.374485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
11305534 16
 
8.0%
11305595 12
 
6.0%
11305545 11
 
5.5%
11500570 10
 
5.0%
11305555 10
 
5.0%
11305660 10
 
5.0%
11500540 10
 
5.0%
11305645 9
 
4.5%
11305635 8
 
4.0%
11305535 8
 
4.0%
Other values (34) 95
47.7%
ValueCountFrequency (%)
11305534 16
8.0%
11305535 8
4.0%
11305545 11
5.5%
11305555 10
5.0%
11305595 12
6.0%
11305603 2
 
1.0%
11305615 6
 
3.0%
11305625 1
 
0.5%
11305635 8
4.0%
11305645 9
4.5%
ValueCountFrequency (%)
11680750 1
 
0.5%
11680730 7
3.5%
11680700 2
 
1.0%
11680690 4
2.0%
11680656 1
 
0.5%
11680655 1
 
0.5%
11680650 2
 
1.0%
11680640 3
1.5%
11680630 1
 
0.5%
11680590 5
2.5%

0.73
Real number (ℝ)

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1140704
Minimum0.1
Maximum26.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:45.648118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.12
Q10.33
median0.46
Q30.78
95-th percentile3.914
Maximum26.19
Range26.09
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation2.7167228
Coefficient of variation (CV)2.4385559
Kurtosis45.553338
Mean1.1140704
Median Absolute Deviation (MAD)0.19
Skewness6.1863681
Sum221.7
Variance7.3805828
MonotonicityNot monotonic
2023-12-10T15:30:45.885918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.33 12
 
6.0%
0.41 12
 
6.0%
0.1 8
 
4.0%
0.12 7
 
3.5%
0.38 7
 
3.5%
0.37 6
 
3.0%
0.61 5
 
2.5%
0.81 4
 
2.0%
0.49 4
 
2.0%
0.44 4
 
2.0%
Other values (80) 130
65.3%
ValueCountFrequency (%)
0.1 8
4.0%
0.11 1
 
0.5%
0.12 7
3.5%
0.13 4
2.0%
0.16 1
 
0.5%
0.18 1
 
0.5%
0.19 1
 
0.5%
0.22 1
 
0.5%
0.23 2
 
1.0%
0.24 2
 
1.0%
ValueCountFrequency (%)
26.19 1
0.5%
16.34 1
0.5%
15.67 1
0.5%
10.4 1
0.5%
7.63 1
0.5%
7.52 1
0.5%
7.38 1
0.5%
7.12 1
0.5%
5.52 1
0.5%
4.67 1
0.5%

0.58
Real number (ℝ)

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86
Minimum0.08
Maximum18.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:46.113546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.09
Q10.25
median0.36
Q30.6
95-th percentile3.125
Maximum18.82
Range18.74
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation2.1262045
Coefficient of variation (CV)2.4723308
Kurtosis39.841089
Mean0.86
Median Absolute Deviation (MAD)0.15
Skewness5.9322851
Sum171.14
Variance4.5207455
MonotonicityNot monotonic
2023-12-10T15:30:46.325482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.28 18
 
9.0%
0.09 11
 
5.5%
0.08 9
 
4.5%
0.24 8
 
4.0%
0.37 8
 
4.0%
0.19 7
 
3.5%
0.33 7
 
3.5%
0.25 7
 
3.5%
0.52 6
 
3.0%
0.3 6
 
3.0%
Other values (65) 112
56.3%
ValueCountFrequency (%)
0.08 9
4.5%
0.09 11
5.5%
0.12 1
 
0.5%
0.13 1
 
0.5%
0.14 1
 
0.5%
0.16 3
 
1.5%
0.18 4
 
2.0%
0.19 7
3.5%
0.2 1
 
0.5%
0.21 1
 
0.5%
ValueCountFrequency (%)
18.82 1
0.5%
14.55 1
0.5%
13.27 1
0.5%
8.27 1
0.5%
6.19 1
0.5%
5.91 1
0.5%
5.77 1
0.5%
4.67 1
0.5%
3.88 1
0.5%
3.62 1
0.5%

0.36
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.62974874
Minimum0.06
Maximum12.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:46.561040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.07
Q10.2
median0.27
Q30.42
95-th percentile2.486
Maximum12.89
Range12.83
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation1.4930311
Coefficient of variation (CV)2.3708362
Kurtosis36.712331
Mean0.62974874
Median Absolute Deviation (MAD)0.11
Skewness5.6943736
Sum125.32
Variance2.2291419
MonotonicityNot monotonic
2023-12-10T15:30:46.833614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 15
 
7.5%
0.07 11
 
5.5%
0.22 11
 
5.5%
0.21 10
 
5.0%
0.06 9
 
4.5%
0.28 8
 
4.0%
0.13 7
 
3.5%
0.24 7
 
3.5%
0.27 7
 
3.5%
0.34 6
 
3.0%
Other values (58) 108
54.3%
ValueCountFrequency (%)
0.06 9
4.5%
0.07 11
5.5%
0.09 1
 
0.5%
0.1 2
 
1.0%
0.12 1
 
0.5%
0.13 7
3.5%
0.14 4
 
2.0%
0.15 2
 
1.0%
0.16 1
 
0.5%
0.18 3
 
1.5%
ValueCountFrequency (%)
12.89 1
0.5%
10.25 1
0.5%
9.05 1
0.5%
6.37 1
0.5%
4.44 1
0.5%
4.23 1
0.5%
3.87 1
0.5%
3.84 1
0.5%
3.0 1
0.5%
2.9 1
0.5%

0.22
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43994975
Minimum0.04
Maximum7.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:47.097666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.05
Q10.15
median0.2
Q30.31
95-th percentile1.987
Maximum7.74
Range7.7
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.98681382
Coefficient of variation (CV)2.2430148
Kurtosis32.319504
Mean0.43994975
Median Absolute Deviation (MAD)0.07
Skewness5.4103412
Sum87.55
Variance0.97380151
MonotonicityNot monotonic
2023-12-10T15:30:47.328753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15 18
 
9.0%
0.18 12
 
6.0%
0.16 12
 
6.0%
0.05 11
 
5.5%
0.04 9
 
4.5%
0.17 8
 
4.0%
0.11 8
 
4.0%
0.23 7
 
3.5%
0.25 7
 
3.5%
0.2 7
 
3.5%
Other values (47) 100
50.3%
ValueCountFrequency (%)
0.04 9
4.5%
0.05 11
5.5%
0.07 2
 
1.0%
0.08 3
 
1.5%
0.1 2
 
1.0%
0.11 8
4.0%
0.12 1
 
0.5%
0.13 6
 
3.0%
0.14 3
 
1.5%
0.15 18
9.0%
ValueCountFrequency (%)
7.74 1
0.5%
7.03 1
0.5%
6.46 1
0.5%
4.48 1
0.5%
3.02 1
0.5%
2.75 1
0.5%
2.55 1
0.5%
2.5 1
0.5%
2.23 1
0.5%
2.05 1
0.5%

0.17
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39713568
Minimum0.04
Maximum9.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:47.578846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.05
Q10.12
median0.17
Q30.275
95-th percentile1.685
Maximum9.71
Range9.67
Interquartile range (IQR)0.155

Descriptive statistics

Standard deviation0.97266547
Coefficient of variation (CV)2.4492019
Kurtosis51.031407
Mean0.39713568
Median Absolute Deviation (MAD)0.06
Skewness6.5256148
Sum79.03
Variance0.94607812
MonotonicityNot monotonic
2023-12-10T15:30:47.843182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.14 19
 
9.5%
0.17 11
 
5.5%
0.15 11
 
5.5%
0.04 9
 
4.5%
0.11 8
 
4.0%
0.19 8
 
4.0%
0.18 8
 
4.0%
0.1 8
 
4.0%
0.12 8
 
4.0%
0.16 7
 
3.5%
Other values (44) 102
51.3%
ValueCountFrequency (%)
0.04 9
4.5%
0.05 7
 
3.5%
0.06 6
 
3.0%
0.07 3
 
1.5%
0.09 4
 
2.0%
0.1 8
4.0%
0.11 8
4.0%
0.12 8
4.0%
0.13 4
 
2.0%
0.14 19
9.5%
ValueCountFrequency (%)
9.71 1
0.5%
5.83 1
0.5%
5.64 1
0.5%
3.18 1
0.5%
2.63 1
0.5%
2.53 1
0.5%
2.44 1
0.5%
2.17 1
0.5%
1.99 1
0.5%
1.73 1
0.5%

11.02
Real number (ℝ)

Distinct130
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.329447
Minimum1.21
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:48.103528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.21
5-th percentile1.27
Q14.13
median6.88
Q311.02
95-th percentile62.305
Maximum288
Range286.79
Interquartile range (IQR)6.89

Descriptive statistics

Standard deviation33.55374
Coefficient of variation (CV)2.1888421
Kurtosis29.755822
Mean15.329447
Median Absolute Deviation (MAD)2.98
Skewness5.0338471
Sum3050.56
Variance1125.8534
MonotonicityNot monotonic
2023-12-10T15:30:48.334890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.13 8
 
4.0%
1.21 8
 
4.0%
1.44 4
 
2.0%
6.88 4
 
2.0%
4.81 4
 
2.0%
4.64 4
 
2.0%
6.62 3
 
1.5%
4.96 3
 
1.5%
10.82 3
 
1.5%
1.55 3
 
1.5%
Other values (120) 155
77.9%
ValueCountFrequency (%)
1.21 8
4.0%
1.27 3
 
1.5%
1.33 1
 
0.5%
1.44 4
2.0%
1.55 3
 
1.5%
1.73 1
 
0.5%
2.14 1
 
0.5%
2.39 1
 
0.5%
2.76 1
 
0.5%
2.78 1
 
0.5%
ValueCountFrequency (%)
288.0 1
0.5%
196.68 1
0.5%
175.22 1
0.5%
128.51 1
0.5%
127.69 1
0.5%
126.02 1
0.5%
119.53 1
0.5%
98.99 1
0.5%
93.33 1
0.5%
91.78 1
0.5%

0.31
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35914573
Minimum0.02
Maximum6.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:48.615022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.02
Q10.07
median0.13
Q30.25
95-th percentile2.186
Maximum6.7
Range6.68
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.8440671
Coefficient of variation (CV)2.3502078
Kurtosis25.674562
Mean0.35914573
Median Absolute Deviation (MAD)0.07
Skewness4.7564951
Sum71.47
Variance0.71244927
MonotonicityNot monotonic
2023-12-10T15:30:48.925862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 13
 
6.5%
0.06 13
 
6.5%
0.08 12
 
6.0%
0.02 11
 
5.5%
0.15 11
 
5.5%
0.07 9
 
4.5%
0.05 8
 
4.0%
0.03 8
 
4.0%
0.16 7
 
3.5%
0.13 7
 
3.5%
Other values (48) 100
50.3%
ValueCountFrequency (%)
0.02 11
5.5%
0.03 8
4.0%
0.04 5
 
2.5%
0.05 8
4.0%
0.06 13
6.5%
0.07 9
4.5%
0.08 12
6.0%
0.09 4
 
2.0%
0.1 13
6.5%
0.11 4
 
2.0%
ValueCountFrequency (%)
6.7 1
0.5%
5.42 1
0.5%
4.03 1
0.5%
3.51 1
0.5%
3.46 1
0.5%
3.12 1
0.5%
2.68 1
0.5%
2.53 1
0.5%
2.37 1
0.5%
2.33 1
0.5%

0.43
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48060302
Minimum0.03
Maximum7.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:49.155809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.03
Q10.095
median0.16
Q30.32
95-th percentile2.406
Maximum7.67
Range7.64
Interquartile range (IQR)0.225

Descriptive statistics

Standard deviation1.1179846
Coefficient of variation (CV)2.3262122
Kurtosis21.845576
Mean0.48060302
Median Absolute Deviation (MAD)0.08
Skewness4.5483544
Sum95.64
Variance1.2498895
MonotonicityNot monotonic
2023-12-10T15:30:49.426110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08 15
 
7.5%
0.11 12
 
6.0%
0.03 11
 
5.5%
0.14 11
 
5.5%
0.09 9
 
4.5%
0.04 8
 
4.0%
0.16 7
 
3.5%
0.24 7
 
3.5%
0.13 7
 
3.5%
0.22 6
 
3.0%
Other values (58) 106
53.3%
ValueCountFrequency (%)
0.03 11
5.5%
0.04 8
4.0%
0.05 1
 
0.5%
0.06 5
 
2.5%
0.07 1
 
0.5%
0.08 15
7.5%
0.09 9
4.5%
0.1 5
 
2.5%
0.11 12
6.0%
0.12 4
 
2.0%
ValueCountFrequency (%)
7.67 1
0.5%
6.74 1
0.5%
6.67 1
0.5%
6.06 1
0.5%
5.17 1
0.5%
3.91 1
0.5%
3.22 1
0.5%
3.11 1
0.5%
3.03 1
0.5%
3.0 1
0.5%

0.5
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52964824
Minimum0.03
Maximum8.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:49.687217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.04
Q10.1
median0.19
Q30.325
95-th percentile2.301
Maximum8.24
Range8.21
Interquartile range (IQR)0.225

Descriptive statistics

Standard deviation1.2715215
Coefficient of variation (CV)2.4006906
Kurtosis22.407712
Mean0.52964824
Median Absolute Deviation (MAD)0.1
Skewness4.6502378
Sum105.4
Variance1.616767
MonotonicityNot monotonic
2023-12-10T15:30:49.917159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 14
 
7.0%
0.04 13
 
6.5%
0.25 11
 
5.5%
0.15 11
 
5.5%
0.09 10
 
5.0%
0.11 10
 
5.0%
0.13 8
 
4.0%
0.21 6
 
3.0%
0.32 6
 
3.0%
0.19 6
 
3.0%
Other values (61) 104
52.3%
ValueCountFrequency (%)
0.03 3
 
1.5%
0.04 13
6.5%
0.05 3
 
1.5%
0.06 2
 
1.0%
0.07 5
 
2.5%
0.08 2
 
1.0%
0.09 10
5.0%
0.1 14
7.0%
0.11 10
5.0%
0.12 5
 
2.5%
ValueCountFrequency (%)
8.24 1
0.5%
7.87 1
0.5%
7.6 1
0.5%
7.26 1
0.5%
6.39 1
0.5%
5.05 1
0.5%
3.52 1
0.5%
3.1 1
0.5%
3.03 1
0.5%
2.49 1
0.5%

0.53
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57753769
Minimum0.04
Maximum8.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:50.170432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.05
Q10.13
median0.22
Q30.36
95-th percentile2.342
Maximum8.99
Range8.95
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation1.3249866
Coefficient of variation (CV)2.2941993
Kurtosis22.432895
Mean0.57753769
Median Absolute Deviation (MAD)0.1
Skewness4.5988119
Sum114.93
Variance1.7555894
MonotonicityNot monotonic
2023-12-10T15:30:50.417748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15 15
 
7.5%
0.05 15
 
7.5%
0.13 11
 
5.5%
0.16 11
 
5.5%
0.12 8
 
4.0%
0.21 7
 
3.5%
0.32 6
 
3.0%
0.29 6
 
3.0%
0.1 6
 
3.0%
0.22 6
 
3.0%
Other values (60) 108
54.3%
ValueCountFrequency (%)
0.04 4
 
2.0%
0.05 15
7.5%
0.06 1
 
0.5%
0.08 1
 
0.5%
0.09 3
 
1.5%
0.1 6
 
3.0%
0.11 3
 
1.5%
0.12 8
4.0%
0.13 11
5.5%
0.14 2
 
1.0%
ValueCountFrequency (%)
8.99 1
0.5%
8.54 1
0.5%
8.09 1
0.5%
6.62 1
0.5%
5.91 1
0.5%
4.48 1
0.5%
4.35 1
0.5%
4.16 1
0.5%
3.56 1
0.5%
2.9 1
0.5%

316275
Real number (ℝ)

Distinct198
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309678.2
Minimum294929
Maximum320756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:50.663821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum294929
5-th percentile296986.7
Q1299411.5
median313675
Q3314634.5
95-th percentile317753.2
Maximum320756
Range25827
Interquartile range (IQR)15223

Descriptive statistics

Standard deviation7825.9063
Coefficient of variation (CV)0.025271092
Kurtosis-1.1354362
Mean309678.2
Median Absolute Deviation (MAD)1258
Skewness-0.7715823
Sum61625962
Variance61244810
MonotonicityNot monotonic
2023-12-10T15:30:50.923827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313130 2
 
1.0%
315619 1
 
0.5%
314431 1
 
0.5%
299470 1
 
0.5%
314065 1
 
0.5%
314979 1
 
0.5%
312588 1
 
0.5%
297847 1
 
0.5%
296709 1
 
0.5%
315900 1
 
0.5%
Other values (188) 188
94.5%
ValueCountFrequency (%)
294929 1
0.5%
294966 1
0.5%
295139 1
0.5%
295179 1
0.5%
295238 1
0.5%
295419 1
0.5%
295571 1
0.5%
295634 1
0.5%
296709 1
0.5%
296975 1
0.5%
ValueCountFrequency (%)
320756 1
0.5%
320692 1
0.5%
320661 1
0.5%
319699 1
0.5%
319501 1
0.5%
319399 1
0.5%
319289 1
0.5%
319268 1
0.5%
319244 1
0.5%
319231 1
0.5%

0.66.1
Real number (ℝ)

Distinct92
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86693467
Minimum0.07
Maximum14.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:51.532701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.07
Q10.28
median0.42
Q30.68
95-th percentile3.384
Maximum14.78
Range14.71
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation1.6919599
Coefficient of variation (CV)1.9516579
Kurtosis28.673412
Mean0.86693467
Median Absolute Deviation (MAD)0.18
Skewness4.8706209
Sum172.52
Variance2.8627284
MonotonicityNot monotonic
2023-12-10T15:30:51.801256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.28 11
 
5.5%
0.07 11
 
5.5%
0.32 10
 
5.0%
0.42 7
 
3.5%
0.57 6
 
3.0%
0.2 6
 
3.0%
0.37 5
 
2.5%
0.43 4
 
2.0%
0.49 4
 
2.0%
0.74 4
 
2.0%
Other values (82) 131
65.8%
ValueCountFrequency (%)
0.07 11
5.5%
0.08 4
 
2.0%
0.09 2
 
1.0%
0.1 3
 
1.5%
0.12 1
 
0.5%
0.13 1
 
0.5%
0.16 1
 
0.5%
0.17 1
 
0.5%
0.19 2
 
1.0%
0.2 6
3.0%
ValueCountFrequency (%)
14.78 1
0.5%
8.3 1
0.5%
8.1 1
0.5%
7.58 1
0.5%
7.0 1
0.5%
6.71 1
0.5%
6.43 1
0.5%
5.95 1
0.5%
4.84 1
0.5%
3.78 1
0.5%

0.8.1
Real number (ℝ)

Distinct97
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.19
Minimum0.08
Maximum19.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:52.066446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.09
Q10.34
median0.59
Q30.96
95-th percentile5.037
Maximum19.93
Range19.85
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation2.276132
Coefficient of variation (CV)1.9127159
Kurtosis31.06056
Mean1.19
Median Absolute Deviation (MAD)0.29
Skewness5.0395197
Sum236.81
Variance5.1807768
MonotonicityNot monotonic
2023-12-10T15:30:52.331366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4 13
 
6.5%
0.08 9
 
4.5%
0.68 5
 
2.5%
0.26 5
 
2.5%
0.96 5
 
2.5%
0.33 4
 
2.0%
0.56 4
 
2.0%
0.45 4
 
2.0%
0.25 4
 
2.0%
0.88 4
 
2.0%
Other values (87) 142
71.4%
ValueCountFrequency (%)
0.08 9
4.5%
0.09 3
 
1.5%
0.1 4
2.0%
0.11 3
 
1.5%
0.13 1
 
0.5%
0.14 1
 
0.5%
0.17 1
 
0.5%
0.19 1
 
0.5%
0.22 1
 
0.5%
0.23 2
 
1.0%
ValueCountFrequency (%)
19.93 1
0.5%
14.6 1
0.5%
10.81 1
0.5%
8.68 1
0.5%
8.19 1
0.5%
7.66 1
0.5%
7.25 1
0.5%
7.04 1
0.5%
6.81 1
0.5%
5.46 1
0.5%

0.83
Real number (ℝ)

Distinct94
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1437688
Minimum0.07
Maximum21.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:52.555206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.07
Q10.28
median0.51
Q30.88
95-th percentile4.764
Maximum21.69
Range21.62
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation2.5948318
Coefficient of variation (CV)2.268668
Kurtosis35.900049
Mean1.1437688
Median Absolute Deviation (MAD)0.25
Skewness5.5483386
Sum227.61
Variance6.7331519
MonotonicityNot monotonic
2023-12-10T15:30:52.777992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07 11
 
5.5%
0.29 9
 
4.5%
0.21 6
 
3.0%
0.28 6
 
3.0%
0.92 6
 
3.0%
0.44 6
 
3.0%
0.76 5
 
2.5%
0.08 5
 
2.5%
0.61 5
 
2.5%
0.57 5
 
2.5%
Other values (84) 135
67.8%
ValueCountFrequency (%)
0.07 11
5.5%
0.08 5
2.5%
0.1 3
 
1.5%
0.12 1
 
0.5%
0.14 1
 
0.5%
0.16 1
 
0.5%
0.17 1
 
0.5%
0.19 2
 
1.0%
0.2 5
2.5%
0.21 6
3.0%
ValueCountFrequency (%)
21.69 1
0.5%
20.17 1
0.5%
11.88 1
0.5%
10.12 1
0.5%
8.76 1
0.5%
8.47 1
0.5%
7.54 1
0.5%
6.74 1
0.5%
6.06 1
0.5%
5.34 1
0.5%

0.87
Real number (ℝ)

Distinct93
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1078894
Minimum0.07
Maximum19.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:52.996901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.07
Q10.26
median0.5
Q30.8
95-th percentile5.373
Maximum19.22
Range19.15
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation2.373382
Coefficient of variation (CV)2.1422552
Kurtosis26.273763
Mean1.1078894
Median Absolute Deviation (MAD)0.26
Skewness4.7709413
Sum220.47
Variance5.632942
MonotonicityNot monotonic
2023-12-10T15:30:53.233534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07 12
 
6.0%
0.26 10
 
5.0%
0.29 9
 
4.5%
0.24 8
 
4.0%
0.52 7
 
3.5%
0.22 5
 
2.5%
0.54 5
 
2.5%
0.78 5
 
2.5%
0.16 5
 
2.5%
0.45 5
 
2.5%
Other values (83) 128
64.3%
ValueCountFrequency (%)
0.07 12
6.0%
0.08 4
 
2.0%
0.1 3
 
1.5%
0.13 1
 
0.5%
0.16 5
2.5%
0.17 2
 
1.0%
0.18 1
 
0.5%
0.19 1
 
0.5%
0.2 2
 
1.0%
0.21 3
 
1.5%
ValueCountFrequency (%)
19.22 1
0.5%
15.35 1
0.5%
11.25 1
0.5%
9.01 1
0.5%
8.91 1
0.5%
8.69 1
0.5%
8.47 1
0.5%
8.37 1
0.5%
7.16 1
0.5%
6.57 1
0.5%

0.89
Real number (ℝ)

Distinct92
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1363317
Minimum0.07
Maximum17.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:53.506824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.08
Q10.27
median0.51
Q30.81
95-th percentile5.119
Maximum17.12
Range17.05
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation2.3768341
Coefficient of variation (CV)2.0916729
Kurtosis18.791691
Mean1.1363317
Median Absolute Deviation (MAD)0.25
Skewness4.2108092
Sum226.13
Variance5.6493405
MonotonicityNot monotonic
2023-12-10T15:30:53.734541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27 12
 
6.0%
0.08 9
 
4.5%
0.28 6
 
3.0%
0.81 5
 
2.5%
0.62 5
 
2.5%
0.47 5
 
2.5%
0.65 5
 
2.5%
0.57 4
 
2.0%
0.26 4
 
2.0%
0.29 4
 
2.0%
Other values (82) 140
70.4%
ValueCountFrequency (%)
0.07 3
 
1.5%
0.08 9
4.5%
0.09 4
2.0%
0.1 3
 
1.5%
0.13 1
 
0.5%
0.15 1
 
0.5%
0.17 4
2.0%
0.18 2
 
1.0%
0.19 1
 
0.5%
0.2 3
 
1.5%
ValueCountFrequency (%)
17.12 1
0.5%
12.66 1
0.5%
11.88 1
0.5%
10.89 1
0.5%
10.86 1
0.5%
10.58 1
0.5%
9.21 1
0.5%
9.0 1
0.5%
8.35 1
0.5%
5.47 1
0.5%

1.01.1
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1549246
Minimum0.09
Maximum18.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:53.966694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.09
Q10.32
median0.51
Q30.81
95-th percentile4.895
Maximum18.72
Range18.63
Interquartile range (IQR)0.49

Descriptive statistics

Standard deviation2.40676
Coefficient of variation (CV)2.0839109
Kurtosis22.26367
Mean1.1549246
Median Absolute Deviation (MAD)0.23
Skewness4.4772419
Sum229.83
Variance5.7924938
MonotonicityNot monotonic
2023-12-10T15:30:54.253111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.32 12
 
6.0%
0.09 12
 
6.0%
0.47 9
 
4.5%
0.37 6
 
3.0%
0.38 5
 
2.5%
0.28 5
 
2.5%
0.57 5
 
2.5%
0.34 4
 
2.0%
0.21 4
 
2.0%
0.72 4
 
2.0%
Other values (81) 133
66.8%
ValueCountFrequency (%)
0.09 12
6.0%
0.1 4
 
2.0%
0.12 4
 
2.0%
0.17 1
 
0.5%
0.18 1
 
0.5%
0.2 2
 
1.0%
0.21 4
 
2.0%
0.22 1
 
0.5%
0.23 3
 
1.5%
0.24 1
 
0.5%
ValueCountFrequency (%)
18.72 1
0.5%
12.91 1
0.5%
12.59 1
0.5%
10.62 1
0.5%
10.43 1
0.5%
9.89 1
0.5%
9.76 1
0.5%
8.08 1
0.5%
7.85 1
0.5%
5.12 1
0.5%

1.02
Real number (ℝ)

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2185427
Minimum0.12
Maximum23.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:54.562707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.12
Q10.345
median0.56
Q30.875
95-th percentile5.32
Maximum23.34
Range23.22
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation2.5819141
Coefficient of variation (CV)2.118854
Kurtosis32.133604
Mean1.2185427
Median Absolute Deviation (MAD)0.23
Skewness5.110157
Sum242.49
Variance6.6662802
MonotonicityNot monotonic
2023-12-10T15:30:54.792894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12 17
 
8.5%
0.33 12
 
6.0%
0.46 11
 
5.5%
0.42 9
 
4.5%
0.39 5
 
2.5%
0.57 5
 
2.5%
1.13 4
 
2.0%
0.34 4
 
2.0%
0.56 4
 
2.0%
0.37 4
 
2.0%
Other values (80) 124
62.3%
ValueCountFrequency (%)
0.12 17
8.5%
0.14 3
 
1.5%
0.2 1
 
0.5%
0.22 3
 
1.5%
0.23 1
 
0.5%
0.24 1
 
0.5%
0.25 1
 
0.5%
0.26 3
 
1.5%
0.28 3
 
1.5%
0.32 1
 
0.5%
ValueCountFrequency (%)
23.34 1
0.5%
12.37 1
0.5%
11.43 1
0.5%
11.0 1
0.5%
10.7 1
0.5%
9.86 1
0.5%
9.76 1
0.5%
8.53 1
0.5%
8.29 1
0.5%
5.77 1
0.5%

0.78
Real number (ℝ)

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1452261
Minimum0.1
Maximum25.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:55.029079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.11
Q10.325
median0.51
Q30.775
95-th percentile4.651
Maximum25.71
Range25.61
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation2.6904806
Coefficient of variation (CV)2.3493007
Kurtosis42.242677
Mean1.1452261
Median Absolute Deviation (MAD)0.19
Skewness5.8963208
Sum227.9
Variance7.2386857
MonotonicityNot monotonic
2023-12-10T15:30:55.306208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.32 10
 
5.0%
0.4 8
 
4.0%
0.1 8
 
4.0%
0.52 7
 
3.5%
0.13 7
 
3.5%
0.86 7
 
3.5%
0.38 7
 
3.5%
0.34 6
 
3.0%
0.11 5
 
2.5%
0.46 5
 
2.5%
Other values (80) 129
64.8%
ValueCountFrequency (%)
0.1 8
4.0%
0.11 5
2.5%
0.13 7
3.5%
0.18 1
 
0.5%
0.19 1
 
0.5%
0.2 1
 
0.5%
0.22 1
 
0.5%
0.23 2
 
1.0%
0.25 2
 
1.0%
0.26 2
 
1.0%
ValueCountFrequency (%)
25.71 1
0.5%
15.69 1
0.5%
14.15 1
0.5%
10.21 1
0.5%
8.79 1
0.5%
8.31 1
0.5%
8.27 1
0.5%
7.32 1
0.5%
6.82 1
0.5%
4.66 1
0.5%

0.87.1
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3050754
Minimum0.12
Maximum29.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:55.645928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.13
Q10.36
median0.54
Q30.88
95-th percentile4.501
Maximum29.39
Range29.27
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation3.2271055
Coefficient of variation (CV)2.472735
Kurtosis41.563132
Mean1.3050754
Median Absolute Deviation (MAD)0.23
Skewness6.0183039
Sum259.71
Variance10.41421
MonotonicityNot monotonic
2023-12-10T15:30:56.002406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12 9
 
4.5%
0.36 8
 
4.0%
0.42 8
 
4.0%
0.28 8
 
4.0%
0.14 7
 
3.5%
0.44 6
 
3.0%
0.38 5
 
2.5%
0.57 5
 
2.5%
0.63 5
 
2.5%
0.5 4
 
2.0%
Other values (81) 134
67.3%
ValueCountFrequency (%)
0.12 9
4.5%
0.13 4
2.0%
0.14 7
3.5%
0.18 1
 
0.5%
0.2 1
 
0.5%
0.24 2
 
1.0%
0.25 1
 
0.5%
0.27 3
 
1.5%
0.28 8
4.0%
0.29 2
 
1.0%
ValueCountFrequency (%)
29.39 1
0.5%
21.31 1
0.5%
19.92 1
0.5%
12.25 1
0.5%
9.3 1
0.5%
8.65 1
0.5%
8.35 1
0.5%
7.85 1
0.5%
6.47 1
0.5%
5.41 1
0.5%

0.63
Real number (ℝ)

Distinct89
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0675377
Minimum0.09
Maximum22.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:56.389964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.1
Q10.285
median0.44
Q30.7
95-th percentile3.896
Maximum22.18
Range22.09
Interquartile range (IQR)0.415

Descriptive statistics

Standard deviation2.753178
Coefficient of variation (CV)2.5789985
Kurtosis38.729872
Mean1.0675377
Median Absolute Deviation (MAD)0.18
Skewness5.9377192
Sum212.44
Variance7.5799894
MonotonicityNot monotonic
2023-12-10T15:30:56.768739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.44 10
 
5.0%
0.34 9
 
4.5%
0.09 9
 
4.5%
0.28 8
 
4.0%
0.11 8
 
4.0%
0.48 7
 
3.5%
0.36 7
 
3.5%
0.35 6
 
3.0%
0.54 5
 
2.5%
0.31 4
 
2.0%
Other values (79) 126
63.3%
ValueCountFrequency (%)
0.09 9
4.5%
0.1 3
 
1.5%
0.11 8
4.0%
0.15 1
 
0.5%
0.16 1
 
0.5%
0.17 1
 
0.5%
0.18 1
 
0.5%
0.19 1
 
0.5%
0.21 4
2.0%
0.22 4
2.0%
ValueCountFrequency (%)
22.18 1
0.5%
21.39 1
0.5%
17.72 1
0.5%
10.84 1
0.5%
8.27 1
0.5%
6.91 1
0.5%
6.35 1
0.5%
6.07 1
0.5%
4.92 1
0.5%
4.67 1
0.5%

542303
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean553025.6
Minimum540113
Maximum562622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:57.200731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum540113
5-th percentile543661.3
Q1548187
median551737
Q3558946.5
95-th percentile560647.7
Maximum562622
Range22509
Interquartile range (IQR)10759.5

Descriptive statistics

Standard deviation6215.4859
Coefficient of variation (CV)0.011239056
Kurtosis-1.5043025
Mean553025.6
Median Absolute Deviation (MAD)6311
Skewness-0.14469229
Sum1.1005209 × 108
Variance38632264
MonotonicityNot monotonic
2023-12-10T15:30:57.621554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
546257 1
 
0.5%
548695 1
 
0.5%
558385 1
 
0.5%
548402 1
 
0.5%
560965 1
 
0.5%
544174 1
 
0.5%
560478 1
 
0.5%
550854 1
 
0.5%
550874 1
 
0.5%
542121 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
540113 1
0.5%
541143 1
0.5%
542067 1
0.5%
542121 1
0.5%
542357 1
0.5%
542462 1
0.5%
542731 1
0.5%
543635 1
0.5%
543652 1
0.5%
543655 1
0.5%
ValueCountFrequency (%)
562622 1
0.5%
561952 1
0.5%
561461 1
0.5%
561367 1
0.5%
561168 1
0.5%
560965 1
0.5%
560927 1
0.5%
560893 1
0.5%
560866 1
0.5%
560807 1
0.5%

0.39
Real number (ℝ)

Distinct77
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75874372
Minimum0.06
Maximum15.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:58.067950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.08
Q10.24
median0.32
Q30.52
95-th percentile3.346
Maximum15.26
Range15.2
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation1.8676639
Coefficient of variation (CV)2.4615215
Kurtosis37.325972
Mean0.75874372
Median Absolute Deviation (MAD)0.13
Skewness5.8211785
Sum150.99
Variance3.4881686
MonotonicityNot monotonic
2023-12-10T15:30:58.541638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.24 13
 
6.5%
0.27 9
 
4.5%
0.26 8
 
4.0%
0.25 8
 
4.0%
0.07 8
 
4.0%
0.08 7
 
3.5%
0.41 6
 
3.0%
0.17 5
 
2.5%
0.34 5
 
2.5%
0.31 5
 
2.5%
Other values (67) 125
62.8%
ValueCountFrequency (%)
0.06 1
 
0.5%
0.07 8
4.0%
0.08 7
3.5%
0.09 4
2.0%
0.1 1
 
0.5%
0.12 3
 
1.5%
0.14 1
 
0.5%
0.15 2
 
1.0%
0.16 2
 
1.0%
0.17 5
2.5%
ValueCountFrequency (%)
15.26 1
0.5%
13.66 1
0.5%
12.54 1
0.5%
7.21 1
0.5%
5.85 1
0.5%
4.69 1
0.5%
4.66 1
0.5%
4.04 1
0.5%
3.61 1
0.5%
3.4 1
0.5%

0.23
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55577889
Minimum0.05
Maximum11.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:59.178276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.07
Q10.165
median0.23
Q30.37
95-th percentile2.237
Maximum11.08
Range11.03
Interquartile range (IQR)0.205

Descriptive statistics

Standard deviation1.3923011
Coefficient of variation (CV)2.5051349
Kurtosis38.391035
Mean0.55577889
Median Absolute Deviation (MAD)0.09
Skewness5.9290602
Sum110.6
Variance1.9385023
MonotonicityNot monotonic
2023-12-10T15:30:59.432614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.22 16
 
8.0%
0.19 15
 
7.5%
0.07 12
 
6.0%
0.05 9
 
4.5%
0.16 9
 
4.5%
0.14 8
 
4.0%
0.27 7
 
3.5%
0.17 7
 
3.5%
0.26 7
 
3.5%
0.43 6
 
3.0%
Other values (56) 103
51.8%
ValueCountFrequency (%)
0.05 9
4.5%
0.07 12
6.0%
0.08 1
 
0.5%
0.09 1
 
0.5%
0.1 2
 
1.0%
0.11 2
 
1.0%
0.12 2
 
1.0%
0.13 2
 
1.0%
0.14 8
4.0%
0.15 2
 
1.0%
ValueCountFrequency (%)
11.08 1
0.5%
10.33 1
0.5%
9.93 1
0.5%
4.86 1
0.5%
4.63 1
0.5%
3.24 1
0.5%
3.23 1
0.5%
2.82 1
0.5%
2.5 1
0.5%
2.48 1
0.5%

0.27
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73321608
Minimum0.06
Maximum21.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:30:59.732929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.07
Q10.19
median0.27
Q30.435
95-th percentile2.501
Maximum21.75
Range21.69
Interquartile range (IQR)0.245

Descriptive statistics

Standard deviation2.176778
Coefficient of variation (CV)2.9688083
Kurtosis55.690404
Mean0.73321608
Median Absolute Deviation (MAD)0.1
Skewness6.9846489
Sum145.91
Variance4.7383623
MonotonicityNot monotonic
2023-12-10T15:31:00.064765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19 12
 
6.0%
0.25 12
 
6.0%
0.2 11
 
5.5%
0.3 10
 
5.0%
0.23 9
 
4.5%
0.06 9
 
4.5%
0.28 7
 
3.5%
0.27 6
 
3.0%
0.39 6
 
3.0%
0.09 5
 
2.5%
Other values (61) 112
56.3%
ValueCountFrequency (%)
0.06 9
4.5%
0.07 3
 
1.5%
0.08 5
2.5%
0.09 5
2.5%
0.11 1
 
0.5%
0.12 2
 
1.0%
0.13 4
2.0%
0.14 2
 
1.0%
0.15 2
 
1.0%
0.16 2
 
1.0%
ValueCountFrequency (%)
21.75 1
0.5%
13.65 1
0.5%
13.57 1
0.5%
7.29 1
0.5%
6.37 1
0.5%
4.05 1
0.5%
3.68 1
0.5%
3.6 1
0.5%
3.23 1
0.5%
3.14 1
0.5%

267155
Real number (ℝ)

Distinct188
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182876.97
Minimum2026
Maximum518591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:31:00.377915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2026
5-th percentile14898.6
Q129242.5
median220110
Q3221252
95-th percentile358935.9
Maximum518591
Range516565
Interquartile range (IQR)192009.5

Descriptive statistics

Standard deviation120257.87
Coefficient of variation (CV)0.65758894
Kurtosis-0.57525164
Mean182876.97
Median Absolute Deviation (MAD)50448
Skewness-0.06291156
Sum36392517
Variance1.4461956 × 1010
MonotonicityNot monotonic
2023-12-10T15:31:00.623748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
278526 3
 
1.5%
17135 2
 
1.0%
220696 2
 
1.0%
218642 2
 
1.0%
220183 2
 
1.0%
16183 2
 
1.0%
220184 2
 
1.0%
15379 2
 
1.0%
220467 2
 
1.0%
221270 2
 
1.0%
Other values (178) 178
89.4%
ValueCountFrequency (%)
2026 1
0.5%
9904 1
0.5%
13617 1
0.5%
13697 1
0.5%
13711 1
0.5%
13725 1
0.5%
13733 1
0.5%
13749 1
0.5%
14480 1
0.5%
14553 1
0.5%
ValueCountFrequency (%)
518591 1
0.5%
509203 1
0.5%
422517 1
0.5%
417865 1
0.5%
415802 1
0.5%
415302 1
0.5%
415185 1
0.5%
410142 1
0.5%
409986 1
0.5%
360015 1
0.5%

V
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
H
117 
V
63 
A
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
H 117
58.8%
V 63
31.7%
A 19
 
9.5%

Length

2023-12-10T15:31:00.893487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:31:01.063904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h 117
58.8%
v 63
31.7%
a 19
 
9.5%

9.
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.473769
Minimum1.13
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:31:01.271558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.13
5-th percentile1.29
Q14
median6.39
Q310
95-th percentile54.6
Maximum239
Range237.87
Interquartile range (IQR)6

Descriptive statistics

Standard deviation27.871944
Coefficient of variation (CV)2.0686078
Kurtosis31.336355
Mean13.473769
Median Absolute Deviation (MAD)2.84
Skewness5.1801806
Sum2681.28
Variance776.84524
MonotonicityNot monotonic
2023-12-10T15:31:01.535924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 10
 
5.0%
9.0 10
 
5.0%
8.0 9
 
4.5%
4.65 8
 
4.0%
1.13 8
 
4.0%
12.0 8
 
4.0%
7.0 6
 
3.0%
1.32 4
 
2.0%
5.36 4
 
2.0%
8.24 4
 
2.0%
Other values (85) 128
64.3%
ValueCountFrequency (%)
1.13 8
4.0%
1.2 1
 
0.5%
1.29 3
 
1.5%
1.32 4
2.0%
1.4 3
 
1.5%
1.6 1
 
0.5%
2.0 2
 
1.0%
2.64 1
 
0.5%
2.74 1
 
0.5%
2.79 2
 
1.0%
ValueCountFrequency (%)
239.0 1
0.5%
180.0 1
0.5%
149.0 1
0.5%
120.0 1
0.5%
92.0 1
0.5%
90.0 1
0.5%
89.0 1
0.5%
84.0 1
0.5%
80.0 1
0.5%
69.0 1
0.5%

21.39
Real number (ℝ)

Distinct130
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.439548
Minimum2.41
Maximum548.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:31:01.810540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.41
5-th percentile2.53
Q18.36
median13
Q321.44
95-th percentile120.263
Maximum548.22
Range545.81
Interquartile range (IQR)13.08

Descriptive statistics

Standard deviation63.496507
Coefficient of variation (CV)2.1568438
Kurtosis29.781643
Mean29.439548
Median Absolute Deviation (MAD)5.47
Skewness5.020172
Sum5858.47
Variance4031.8064
MonotonicityNot monotonic
2023-12-10T15:31:02.042375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.36 8
 
4.0%
2.41 8
 
4.0%
9.58 4
 
2.0%
2.79 4
 
2.0%
13.0 4
 
2.0%
8.97 4
 
2.0%
12.9 3
 
1.5%
21.21 3
 
1.5%
7.27 3
 
1.5%
7.57 3
 
1.5%
Other values (120) 155
77.9%
ValueCountFrequency (%)
2.41 8
4.0%
2.53 3
 
1.5%
2.58 1
 
0.5%
2.79 4
2.0%
2.98 3
 
1.5%
3.5 1
 
0.5%
4.27 1
 
0.5%
4.72 1
 
0.5%
5.49 1
 
0.5%
5.57 1
 
0.5%
ValueCountFrequency (%)
548.22 1
0.5%
367.89 1
0.5%
320.68 1
0.5%
247.26 1
0.5%
246.16 1
0.5%
242.63 1
0.5%
226.92 1
0.5%
188.11 1
0.5%
178.97 1
0.5%
171.68 1
0.5%

Sample

116801030001211000211680103001021100020204280.660.851.011.051.341.61.591.691.731.85서울특별시 강남구 개포동 1211-2번지 현대빌라 나동1.971.59.11.6.11.210.750.450.4410.370.350.42서울특별시 강남구 개포로36길 9 현대빌라 나동0.520.52.10.680.80.760.820.840.85.10.950.81116806900.730.580.360.220.1711.020.310.430.50.533162750.66.10.8.10.830.870.891.01.11.020.780.87.10.635423030.390.230.27267155V9.21.39
0116801050000010000411680105001001000040000020.621.081.371.261.261.611.691.872.352.34서울특별시 강남구 삼성동 10-4번지 예주빌라2.071.211.030.860.720.530.4910.70.330.59서울특별시 강남구 학동로56길 41 예주빌라0.740.720.660.710.750.781.031.11.030.63116805900.480.380.30.260.2211.670.290.490.630.543156190.610.910.941.091.321.241.040.580.550.485462570.420.280.28417865V10.022.37
1116801050000100000711680105001010000070171140.290.450.510.60.730.890.870.830.940.96서울특별시 강남구 삼성동 100-7번지 월드빌라1.060.90.840.70.50.360.375.810.160.24서울특별시 강남구 봉은사로111길 18-5 월드빌라0.290.350.390.460.410.40.440.450.510.43116805800.390.310.240.190.165.990.140.220.210.253175890.330.420.460.430.510.510.560.460.450.395464500.260.180.21178799V5.011.79
2113051020000471008611305102001047100860174470.130.160.20.270.590.850.630.570.60.66서울특별시 강북구 번동 471-86번지0.710.680.70.520.440.340.334.230.070.08서울특별시 강북구 도봉로96다길 19-50.10.140.270.450.350.30.330.340.380.36113055950.330.240.20.150.144.130.060.080.10.133148230.320.40.290.260.270.320.330.320.360.285601830.240.190.19218642H4.658.36
31150010200007070000115001020010707000002509313.9215.7714.619.9430.5338.9342.1439.534.2634.58서울특별시 강서구 등촌동 707번지 등촌주공8단지아파트 703동42.6248.055.5941.0126.5518.8231.47260.227.238.1서울특별시 강서구 공항대로43길 104 등촌주공8단지아파트 703동7.010.9615.7519.021.9720.2817.1415.8619.2922.291150053526.1918.8212.897.749.71288.06.77.677.68.9929879514.7819.9320.1719.2217.1218.7223.3425.7129.3922.1855161713.6611.0821.75263991A239.0548.22
4115001030000102000911500103001010200090000010.420.540.530.571.01.811.541.421.31.23서울특별시 강서구 화곡동 102-9번지 한울어울림 가동1.21.051.180.850.580.410.397.760.210.27서울특별시 강서구 까치산로4길 61-7 한울어울림 가동0.280.30.470.840.810.750.660.640.580.48115005900.520.370.260.180.148.250.20.260.250.262982560.530.980.740.660.640.60.610.570.660.485493300.320.220.2513617V8.016.01
5113051030000410001311305103001041000130035000.050.080.090.10.160.20.170.180.190.2서울특별시 강북구 수유동 410-13번지0.240.240.260.20.160.120.141.350.030.04서울특별시 강북구 인수봉로62길 11-60.050.050.080.10.080.10.10.10.120.11113056600.130.090.070.050.061.440.030.040.040.053131850.080.10.080.080.090.10.120.130.140.115601320.090.070.09221528H1.322.79
6113051030000291016211305103001029101620039210.711.041.11.172.032.282.172.12.312.55서울특별시 강북구 수유동 291-162번지 프라비아3.12.83.052.581.91.651.8716.710.350.55서울특별시 강북구 삼양로123길 32-33 프라비아0.60.590.881.151.161.11.231.291.511.39113056451.411.170.870.670.7617.70.360.480.50.583131301.141.131.021.01.081.251.591.411.631.415608661.030.981.11221146V16.034.4
7115001030000105050211500103001010505020179530.991.281.271.352.384.313.663.363.082.93서울특별시 강서구 화곡동 105-502번지 까치산아파트 B동2.842.492.82.031.370.960.9318.430.510.65서울특별시 강서구 강서로 128 까치산아파트 B동0.670.721.111.991.911.781.561.521.381.14115005901.230.880.610.430.3319.590.480.630.60.622979331.262.321.751.581.521.421.461.351.571.145491100.760.530.59415802A19.038.02
8116801080000159000511680108001015900050084640.190.210.210.290.81.81.781.461.250.96서울특별시 강남구 논현동 159-5번지0.920.720.710.590.450.330.346.120.090.09서울특별시 강남구 학동로6길 440.10.130.320.840.860.680.60.480.460.35116805210.330.250.190.170.146.880.10.110.110.163140730.480.960.920.780.650.470.460.360.380.345456900.250.160.231045H8.2413.0
9113051030000486140911305103001048614090138720.340.490.540.61.091.521.221.151.231.29서울특별시 강북구 수유동 486-1409번지 푸른마을 101동1.531.521.661.280.940.760.868.90.180.25서울특별시 강북구 인수봉로19나길 7 푸른마을 101동0.260.310.520.790.660.630.660.690.730.76113056150.780.610.420.330.349.120.160.240.270.293129540.570.730.570.520.570.610.790.760.880.685587160.520.430.51213433V9.018.02
116801030001211000211680103001021100020204280.660.851.011.051.341.61.591.691.731.85서울특별시 강남구 개포동 1211-2번지 현대빌라 나동1.971.59.11.6.11.210.750.450.4410.370.350.42서울특별시 강남구 개포로36길 9 현대빌라 나동0.520.52.10.680.80.760.820.840.85.10.950.81116806900.730.580.360.220.1711.020.310.430.50.533162750.66.10.8.10.830.870.891.01.11.020.780.87.10.635423030.390.230.27267155V9.21.39
189113051010000234002911305101001023400290302320.110.180.240.290.690.870.640.540.540.67서울특별시 강북구 미아동 234-29번지0.780.770.830.590.460.380.44.330.060.09서울특별시 강북구 도봉로63길 47-30.130.140.270.410.330.30.290.340.380.37113055350.410.280.20.160.154.640.050.090.10.153138350.420.450.310.240.260.320.390.40.420.315589130.260.220.25220467H4.858.97
190116801140000628000511680114001062800050021430.280.390.480.60.771.221.071.021.00.96서울특별시 강남구 일원동 628-5번지 금오빌라1.121.141.321.110.790.540.617.070.140.2서울특별시 강남구 개포로130길 34 금오빌라0.270.330.420.590.580.530.510.490.550.54116807300.610.480.370.260.197.350.140.190.210.263192310.350.630.490.490.490.470.570.60.710.635438410.420.280.43278378V7.014.42
191115001030000051008911500103001005100890183600.81.031.031.091.923.492.962.722.492.37서울특별시 강서구 화곡동 51-89번지2.32.022.261.641.110.780.7514.920.410.52서울특별시 강서구 초록마을로 520.540.590.91.611.551.441.261.231.120.93115005901.00.720.490.350.2715.860.390.510.480.512984311.021.881.421.281.231.151.181.091.270.935495370.620.430.4815278H15.3830.78
192115001030001070003511500103001107000350127380.30.270.250.290.691.471.291.040.880.79서울특별시 강서구 화곡동 1070-35번지0.810.820.910.70.520.330.325.670.150.14서울특별시 강서구 화곡로14길 5-50.130.150.290.680.680.560.470.410.380.39115005400.410.310.250.160.126.00.150.130.120.142971850.40.790.610.480.410.380.430.430.50.395492210.270.170.217041H6.1611.67
193115001030000368001311500103001036800130134170.450.40.380.441.042.21.931.561.321.18서울특별시 강서구 화곡동 368-13번지1.211.231.361.050.780.490.488.50.220.2서울특별시 강서구 가로공원로82길 110.190.230.441.021.020.840.710.610.580.59115005400.610.470.380.230.189.010.220.20.190.212976580.61.180.920.730.620.570.640.640.760.585489300.40.260.330569H9.2417.51
194113051010000450004011305101001045000400266760.110.170.190.260.430.560.450.450.480.58서울특별시 강북구 미아동 450-40번지0.710.690.770.570.460.350.363.770.060.09서울특별시 강북구 솔샘로64다길 36-80.090.130.210.290.240.230.270.30.360.34113055550.370.280.210.150.143.80.060.080.090.123142610.220.260.210.210.210.280.340.340.40.295575160.250.20.23219070H3.867.57
195113051040000073004011305104001007300400048120.160.230.250.260.450.510.490.470.520.57서울특별시 강북구 우이동 73-40번지0.70.630.680.580.430.370.423.750.080.12서울특별시 강북구 삼양로139가길 25-100.130.130.20.260.260.250.280.290.340.31113056450.320.260.20.150.173.970.080.110.110.133130000.260.250.230.220.240.280.360.320.370.325613670.230.220.25221124H3.597.72
196116801070000626006511680107001062600650107090.671.121.241.141.351.281.181.521.942.08서울특별시 강남구 신사동 626-65번지 승원빌라2.051.561.441.341.180.91.0310.630.310.55서울특별시 강남구 논현로168길 46 승원빌라0.60.550.660.570.530.630.860.950.990.77116805450.670.550.530.440.4612.380.360.560.640.593146200.690.70.650.91.081.131.060.790.770.795472060.640.460.5732284V9.023.02
197113051010000637022011305101001063702200261640.040.060.060.090.140.190.150.150.160.19서울특별시 강북구 미아동 637-220번지0.240.230.260.190.150.120.121.260.020.03서울특별시 강북구 삼양로22길 80.030.040.070.10.080.080.090.10.120.11113055550.120.090.070.050.051.270.020.030.030.043139090.070.090.070.070.070.090.120.110.130.15574290.080.070.08220911H1.292.53
198113051010000791196011305101001079119600343460.050.070.080.110.150.170.140.150.160.19서울특별시 강북구 미아동 791-1960번지0.230.210.220.170.130.10.11.20.030.04서울특별시 강북구 인수봉로6가길 120.040.060.080.090.070.080.090.090.110.11113055340.10.080.060.040.041.210.020.030.040.053131880.070.080.070.070.080.090.120.10.120.095582430.070.050.06220334H1.132.41