Overview

Dataset statistics

Number of variables44
Number of observations2511
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory968.7 KiB
Average record size in memory395.1 B

Variable types

Text1
Numeric43

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지매매 거래현황의 월별 거래주체별(면적) 데이터입니다. -(단위 : 천㎡) - 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068104/fileData.do

Alerts

2019-01 is highly skewed (γ1 = 38.86445818)Skewed
2019-02 is highly skewed (γ1 = 37.56783941)Skewed
2019-03 is highly skewed (γ1 = 38.86867589)Skewed
2019-04 is highly skewed (γ1 = 36.36656455)Skewed
2019-05 is highly skewed (γ1 = 36.96168338)Skewed
2019-06 is highly skewed (γ1 = 36.54158769)Skewed
2019-07 is highly skewed (γ1 = 38.10562862)Skewed
2019-08 is highly skewed (γ1 = 38.70690735)Skewed
2019-09 is highly skewed (γ1 = 35.50584394)Skewed
2019-10 is highly skewed (γ1 = 37.22953491)Skewed
2019-11 is highly skewed (γ1 = 34.80225771)Skewed
2019-12 is highly skewed (γ1 = 37.52460601)Skewed
2020-01 is highly skewed (γ1 = 39.88042234)Skewed
2020-02 is highly skewed (γ1 = 36.41445023)Skewed
2020-03 is highly skewed (γ1 = 35.77364097)Skewed
2020-04 is highly skewed (γ1 = 36.72995045)Skewed
2020-05 is highly skewed (γ1 = 37.05722586)Skewed
2020-06 is highly skewed (γ1 = 36.72399189)Skewed
2020-07 is highly skewed (γ1 = 38.48242865)Skewed
2020-08 is highly skewed (γ1 = 38.40997817)Skewed
2020-09 is highly skewed (γ1 = 37.38963931)Skewed
2020-10 is highly skewed (γ1 = 37.50486196)Skewed
2020-11 is highly skewed (γ1 = 39.16822864)Skewed
2020-12 is highly skewed (γ1 = 36.80193171)Skewed
2021-01 is highly skewed (γ1 = 39.27342288)Skewed
2021-02 is highly skewed (γ1 = 38.09796273)Skewed
2021-03 is highly skewed (γ1 = 38.05616406)Skewed
2021-04 is highly skewed (γ1 = 38.09768612)Skewed
2021-05 is highly skewed (γ1 = 38.22276085)Skewed
2021-06 is highly skewed (γ1 = 38.31457975)Skewed
2021-07 is highly skewed (γ1 = 36.59199799)Skewed
2021-08 is highly skewed (γ1 = 36.48312217)Skewed
2021-09 is highly skewed (γ1 = 35.47856683)Skewed
2021-10 is highly skewed (γ1 = 37.8059476)Skewed
2021-11 is highly skewed (γ1 = 35.6143933)Skewed
2021-12 is highly skewed (γ1 = 34.88596617)Skewed
2022-01 is highly skewed (γ1 = 35.59041461)Skewed
2022-02 is highly skewed (γ1 = 35.82403784)Skewed
2022-03 is highly skewed (γ1 = 35.70884147)Skewed
2022-04 is highly skewed (γ1 = 36.99758742)Skewed
2022-05 is highly skewed (γ1 = 36.65660213)Skewed
2022-06 is highly skewed (γ1 = 33.5167045)Skewed
2022-07 is highly skewed (γ1 = 35.75811452)Skewed
지역 및 거래주체 has unique valuesUnique
2019-01 has 1010 (40.2%) zerosZeros
2019-02 has 1086 (43.2%) zerosZeros
2019-03 has 1000 (39.8%) zerosZeros
2019-04 has 955 (38.0%) zerosZeros
2019-05 has 974 (38.8%) zerosZeros
2019-06 has 986 (39.3%) zerosZeros
2019-07 has 977 (38.9%) zerosZeros
2019-08 has 1001 (39.9%) zerosZeros
2019-09 has 1045 (41.6%) zerosZeros
2019-10 has 1019 (40.6%) zerosZeros
2019-11 has 1000 (39.8%) zerosZeros
2019-12 has 871 (34.7%) zerosZeros
2020-01 has 975 (38.8%) zerosZeros
2020-02 has 964 (38.4%) zerosZeros
2020-03 has 917 (36.5%) zerosZeros
2020-04 has 982 (39.1%) zerosZeros
2020-05 has 947 (37.7%) zerosZeros
2020-06 has 886 (35.3%) zerosZeros
2020-07 has 889 (35.4%) zerosZeros
2020-08 has 964 (38.4%) zerosZeros
2020-09 has 959 (38.2%) zerosZeros
2020-10 has 988 (39.3%) zerosZeros
2020-11 has 930 (37.0%) zerosZeros
2020-12 has 775 (30.9%) zerosZeros
2021-01 has 913 (36.4%) zerosZeros
2021-02 has 970 (38.6%) zerosZeros
2021-03 has 852 (33.9%) zerosZeros
2021-04 has 859 (34.2%) zerosZeros
2021-05 has 894 (35.6%) zerosZeros
2021-06 has 849 (33.8%) zerosZeros
2021-07 has 909 (36.2%) zerosZeros
2021-08 has 978 (38.9%) zerosZeros
2021-09 has 994 (39.6%) zerosZeros
2021-10 has 975 (38.8%) zerosZeros
2021-11 has 921 (36.7%) zerosZeros
2021-12 has 771 (30.7%) zerosZeros
2022-01 has 926 (36.9%) zerosZeros
2022-02 has 1013 (40.3%) zerosZeros
2022-03 has 951 (37.9%) zerosZeros
2022-04 has 951 (37.9%) zerosZeros
2022-05 has 910 (36.2%) zerosZeros
2022-06 has 929 (37.0%) zerosZeros
2022-07 has 1000 (39.8%) zerosZeros

Reproduction

Analysis started2023-12-12 14:44:34.749549
Analysis finished2023-12-12 14:44:35.356953
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역 및 거래주체
Text

UNIQUE 

Distinct2511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
2023-12-12T23:44:35.539611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.111111
Min length9

Characters and Unicode

Total characters30411
Distinct characters149
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2511 ?
Unique (%)100.0%

Sample

1st row전국 /개인>개인
2nd row전국 /개인>법인
3rd row전국 /개인>기타
4th row전국 /법인>개인
5th row전국 /법인>법인
ValueCountFrequency (%)
경기 441
 
8.8%
경북 234
 
4.7%
서울 234
 
4.7%
경남 216
 
4.3%
전남 207
 
4.1%
강원 171
 
3.4%
충남 162
 
3.2%
부산 153
 
3.0%
전북 153
 
3.0%
충북 144
 
2.9%
Other values (2168) 2907
57.9%
2023-12-12T23:44:36.003780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 3501
 
11.5%
2511
 
8.3%
/ 2511
 
8.3%
> 2511
 
8.3%
기 2133
 
7.0%
개 1674
 
5.5%
타 1674
 
5.5%
법 1674
 
5.5%
구 1035
 
3.4%
시 999
 
3.3%
Other values (139) 10188
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22878
75.2%
Space Separator 2511
 
8.3%
Other Punctuation 2511
 
8.3%
Math Symbol 2511
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 3501
15.3%
기 2133
 
9.3%
개 1674
 
7.3%
타 1674
 
7.3%
법 1674
 
7.3%
구 1035
 
4.5%
시 999
 
4.4%
경 918
 
4.0%
군 765
 
3.3%
남 738
 
3.2%
Other values (136) 7767
33.9%
Space Separator
ValueCountFrequency (%)
2511
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2511
100.0%
Math Symbol
ValueCountFrequency (%)
> 2511
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22878
75.2%
Common 7533
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 3501
15.3%
기 2133
 
9.3%
개 1674
 
7.3%
타 1674
 
7.3%
법 1674
 
7.3%
구 1035
 
4.5%
시 999
 
4.4%
경 918
 
4.0%
군 765
 
3.3%
남 738
 
3.2%
Other values (136) 7767
33.9%
Common
ValueCountFrequency (%)
2511
33.3%
/ 2511
33.3%
> 2511
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22878
75.2%
ASCII 7533
 
24.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 3501
15.3%
기 2133
 
9.3%
개 1674
 
7.3%
타 1674
 
7.3%
법 1674
 
7.3%
구 1035
 
4.5%
시 999
 
4.4%
경 918
 
4.0%
군 765
 
3.3%
남 738
 
3.2%
Other values (136) 7767
33.9%
ASCII
ValueCountFrequency (%)
2511
33.3%
/ 2511
33.3%
> 2511
33.3%

2019-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct351
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.63839
Minimum0
Maximum68458
Zeros1010
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:36.153826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile422
Maximum68458
Range68458
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1498.4862
Coefficient of variation (CV)11.648826
Kurtosis1731.4904
Mean128.63839
Median Absolute Deviation (MAD)2
Skewness38.864458
Sum323011
Variance2245460.9
MonotonicityNot monotonic
2023-12-12T23:44:36.304354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1010
40.2%
1 182
 
7.2%
2 94
 
3.7%
3 77
 
3.1%
4 57
 
2.3%
7 55
 
2.2%
6 46
 
1.8%
5 43
 
1.7%
8 38
 
1.5%
13 35
 
1.4%
Other values (341) 874
34.8%
ValueCountFrequency (%)
0 1010
40.2%
1 182
 
7.2%
2 94
 
3.7%
3 77
 
3.1%
4 57
 
2.3%
5 43
 
1.7%
6 46
 
1.8%
7 55
 
2.2%
8 38
 
1.5%
9 19
 
0.8%
ValueCountFrequency (%)
68458 1
< 0.1%
14607 1
< 0.1%
12126 1
< 0.1%
11550 1
< 0.1%
8076 1
< 0.1%
7380 1
< 0.1%
7374 1
< 0.1%
7078 1
< 0.1%
7012 1
< 0.1%
6821 1
< 0.1%

2019-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct327
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.21784
Minimum0
Maximum51405
Zeros1086
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:36.451237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q322
95-th percentile344.5
Maximum51405
Range51405
Interquartile range (IQR)22

Descriptive statistics

Standard deviation1139.9184
Coefficient of variation (CV)10.937843
Kurtosis1644.8909
Mean104.21784
Median Absolute Deviation (MAD)1
Skewness37.567839
Sum261691
Variance1299414
MonotonicityNot monotonic
2023-12-12T23:44:36.601586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
43.2%
1 177
 
7.0%
2 118
 
4.7%
3 63
 
2.5%
4 44
 
1.8%
7 43
 
1.7%
10 40
 
1.6%
6 38
 
1.5%
5 37
 
1.5%
8 29
 
1.2%
Other values (317) 836
33.3%
ValueCountFrequency (%)
0 1086
43.2%
1 177
 
7.0%
2 118
 
4.7%
3 63
 
2.5%
4 44
 
1.8%
5 37
 
1.5%
6 38
 
1.5%
7 43
 
1.7%
8 29
 
1.2%
9 26
 
1.0%
ValueCountFrequency (%)
51405 1
< 0.1%
12323 1
< 0.1%
8774 1
< 0.1%
8662 1
< 0.1%
6505 1
< 0.1%
6179 1
< 0.1%
5998 1
< 0.1%
5558 1
< 0.1%
5127 1
< 0.1%
5123 1
< 0.1%

2019-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct357
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.95699
Minimum0
Maximum66779
Zeros1000
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:36.745943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q332.5
95-th percentile425
Maximum66779
Range66779
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation1460.6528
Coefficient of variation (CV)11.239509
Kurtosis1735.1695
Mean129.95699
Median Absolute Deviation (MAD)2
Skewness38.868676
Sum326322
Variance2133506.5
MonotonicityNot monotonic
2023-12-12T23:44:36.880794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1000
39.8%
1 166
 
6.6%
2 98
 
3.9%
3 69
 
2.7%
5 49
 
2.0%
4 48
 
1.9%
9 37
 
1.5%
6 37
 
1.5%
7 32
 
1.3%
8 32
 
1.3%
Other values (347) 943
37.6%
ValueCountFrequency (%)
0 1000
39.8%
1 166
 
6.6%
2 98
 
3.9%
3 69
 
2.7%
4 48
 
1.9%
5 49
 
2.0%
6 37
 
1.5%
7 32
 
1.3%
8 32
 
1.3%
9 37
 
1.5%
ValueCountFrequency (%)
66779 1
< 0.1%
13807 1
< 0.1%
11374 1
< 0.1%
9776 1
< 0.1%
8385 1
< 0.1%
7794 1
< 0.1%
7368 1
< 0.1%
7209 1
< 0.1%
6929 1
< 0.1%
6839 1
< 0.1%

2019-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct384
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.96097
Minimum0
Maximum67205
Zeros955
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:37.019214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q331.5
95-th percentile459
Maximum67205
Range67205
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation1509.3903
Coefficient of variation (CV)10.558059
Kurtosis1564.2842
Mean142.96097
Median Absolute Deviation (MAD)2
Skewness36.366565
Sum358975
Variance2278259.2
MonotonicityNot monotonic
2023-12-12T23:44:37.180573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
38.0%
1 212
 
8.4%
2 100
 
4.0%
3 65
 
2.6%
5 54
 
2.2%
4 50
 
2.0%
6 47
 
1.9%
10 36
 
1.4%
8 31
 
1.2%
7 31
 
1.2%
Other values (374) 930
37.0%
ValueCountFrequency (%)
0 955
38.0%
1 212
 
8.4%
2 100
 
4.0%
3 65
 
2.6%
4 50
 
2.0%
5 54
 
2.2%
6 47
 
1.9%
7 31
 
1.2%
8 31
 
1.2%
9 24
 
1.0%
ValueCountFrequency (%)
67205 1
< 0.1%
16021 1
< 0.1%
12858 1
< 0.1%
11267 1
< 0.1%
11096 1
< 0.1%
9725 1
< 0.1%
8616 1
< 0.1%
7537 1
< 0.1%
7170 1
< 0.1%
6763 1
< 0.1%

2019-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct385
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.27041
Minimum0
Maximum65937
Zeros974
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:37.320844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q332
95-th percentile449.5
Maximum65937
Range65937
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1474.3081
Coefficient of variation (CV)10.740174
Kurtosis1596.2533
Mean137.27041
Median Absolute Deviation (MAD)2
Skewness36.961683
Sum344686
Variance2173584.5
MonotonicityNot monotonic
2023-12-12T23:44:37.435813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 974
38.8%
1 192
 
7.6%
2 106
 
4.2%
3 70
 
2.8%
5 55
 
2.2%
4 47
 
1.9%
7 36
 
1.4%
6 33
 
1.3%
11 31
 
1.2%
10 30
 
1.2%
Other values (375) 937
37.3%
ValueCountFrequency (%)
0 974
38.8%
1 192
 
7.6%
2 106
 
4.2%
3 70
 
2.8%
4 47
 
1.9%
5 55
 
2.2%
6 33
 
1.3%
7 36
 
1.4%
8 25
 
1.0%
9 17
 
0.7%
ValueCountFrequency (%)
65937 1
< 0.1%
19058 1
< 0.1%
11074 1
< 0.1%
9979 1
< 0.1%
8540 1
< 0.1%
8068 1
< 0.1%
7868 1
< 0.1%
7690 1
< 0.1%
6457 1
< 0.1%
6299 1
< 0.1%

2019-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct357
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.64277
Minimum0
Maximum52324
Zeros986
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:37.555912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328.5
95-th percentile351
Maximum52324
Range52324
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation1173.0271
Coefficient of variation (CV)10.413692
Kurtosis1575.6046
Mean112.64277
Median Absolute Deviation (MAD)2
Skewness36.541588
Sum282846
Variance1375992.6
MonotonicityNot monotonic
2023-12-12T23:44:37.677159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 986
39.3%
1 209
 
8.3%
2 92
 
3.7%
3 70
 
2.8%
4 64
 
2.5%
5 56
 
2.2%
6 38
 
1.5%
7 31
 
1.2%
9 29
 
1.2%
13 23
 
0.9%
Other values (347) 913
36.4%
ValueCountFrequency (%)
0 986
39.3%
1 209
 
8.3%
2 92
 
3.7%
3 70
 
2.8%
4 64
 
2.5%
5 56
 
2.2%
6 38
 
1.5%
7 31
 
1.2%
8 21
 
0.8%
9 29
 
1.2%
ValueCountFrequency (%)
52324 1
< 0.1%
12882 1
< 0.1%
9943 1
< 0.1%
8494 1
< 0.1%
7772 1
< 0.1%
6865 1
< 0.1%
6728 1
< 0.1%
6418 1
< 0.1%
5647 1
< 0.1%
5311 1
< 0.1%

2019-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct347
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.28236
Minimum0
Maximum58922
Zeros977
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:37.823071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile366.5
Maximum58922
Range58922
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1300.5514
Coefficient of variation (CV)11.281444
Kurtosis1676.8442
Mean115.28236
Median Absolute Deviation (MAD)2
Skewness38.105629
Sum289474
Variance1691434.1
MonotonicityNot monotonic
2023-12-12T23:44:37.970173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
38.9%
1 199
 
7.9%
2 97
 
3.9%
3 80
 
3.2%
4 51
 
2.0%
5 40
 
1.6%
6 37
 
1.5%
8 36
 
1.4%
7 31
 
1.2%
9 28
 
1.1%
Other values (337) 935
37.2%
ValueCountFrequency (%)
0 977
38.9%
1 199
 
7.9%
2 97
 
3.9%
3 80
 
3.2%
4 51
 
2.0%
5 40
 
1.6%
6 37
 
1.5%
7 31
 
1.2%
8 36
 
1.4%
9 28
 
1.1%
ValueCountFrequency (%)
58922 1
< 0.1%
14726 1
< 0.1%
10037 1
< 0.1%
8656 1
< 0.1%
8043 1
< 0.1%
7737 1
< 0.1%
7186 1
< 0.1%
6735 1
< 0.1%
5502 1
< 0.1%
5021 1
< 0.1%

2019-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct332
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.93309
Minimum0
Maximum54047
Zeros1001
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:38.086740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile333
Maximum54047
Range54047
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1184.5636
Coefficient of variation (CV)11.397367
Kurtosis1722.0578
Mean103.93309
Median Absolute Deviation (MAD)2
Skewness38.706907
Sum260976
Variance1403191
MonotonicityNot monotonic
2023-12-12T23:44:38.244736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1001
39.9%
1 207
 
8.2%
2 111
 
4.4%
3 68
 
2.7%
4 53
 
2.1%
6 41
 
1.6%
5 39
 
1.6%
7 28
 
1.1%
12 27
 
1.1%
8 27
 
1.1%
Other values (322) 909
36.2%
ValueCountFrequency (%)
0 1001
39.9%
1 207
 
8.2%
2 111
 
4.4%
3 68
 
2.7%
4 53
 
2.1%
5 39
 
1.6%
6 41
 
1.6%
7 28
 
1.1%
8 27
 
1.1%
9 26
 
1.0%
ValueCountFrequency (%)
54047 1
< 0.1%
11339 1
< 0.1%
8746 1
< 0.1%
8583 1
< 0.1%
8383 1
< 0.1%
7388 1
< 0.1%
5726 1
< 0.1%
5023 1
< 0.1%
4961 1
< 0.1%
4932 1
< 0.1%

2019-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct319
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.115094
Minimum0
Maximum43321
Zeros1045
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:38.360617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile286.5
Maximum43321
Range43321
Interquartile range (IQR)25

Descriptive statistics

Standard deviation987.10927
Coefficient of variation (CV)10.488321
Kurtosis1489.0835
Mean94.115094
Median Absolute Deviation (MAD)2
Skewness35.505844
Sum236323
Variance974384.72
MonotonicityNot monotonic
2023-12-12T23:44:38.472574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1045
41.6%
1 186
 
7.4%
2 109
 
4.3%
3 63
 
2.5%
4 51
 
2.0%
5 47
 
1.9%
6 44
 
1.8%
7 33
 
1.3%
8 30
 
1.2%
12 27
 
1.1%
Other values (309) 876
34.9%
ValueCountFrequency (%)
0 1045
41.6%
1 186
 
7.4%
2 109
 
4.3%
3 63
 
2.5%
4 51
 
2.0%
5 47
 
1.9%
6 44
 
1.8%
7 33
 
1.3%
8 30
 
1.2%
9 20
 
0.8%
ValueCountFrequency (%)
43321 1
< 0.1%
14656 1
< 0.1%
7685 1
< 0.1%
7136 1
< 0.1%
6435 1
< 0.1%
6251 1
< 0.1%
4443 1
< 0.1%
4388 1
< 0.1%
4183 1
< 0.1%
4104 1
< 0.1%

2019-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct335
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.68857
Minimum0
Maximum53379
Zeros1019
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:38.592639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile343
Maximum53379
Range53379
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1189.5277
Coefficient of variation (CV)11.045998
Kurtosis1615.8751
Mean107.68857
Median Absolute Deviation (MAD)2
Skewness37.229535
Sum270406
Variance1414976.2
MonotonicityNot monotonic
2023-12-12T23:44:38.719630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1019
40.6%
1 187
 
7.4%
2 89
 
3.5%
3 67
 
2.7%
4 51
 
2.0%
5 47
 
1.9%
7 43
 
1.7%
6 39
 
1.6%
10 37
 
1.5%
8 33
 
1.3%
Other values (325) 899
35.8%
ValueCountFrequency (%)
0 1019
40.6%
1 187
 
7.4%
2 89
 
3.5%
3 67
 
2.7%
4 51
 
2.0%
5 47
 
1.9%
6 39
 
1.6%
7 43
 
1.7%
8 33
 
1.3%
9 25
 
1.0%
ValueCountFrequency (%)
53379 1
< 0.1%
14030 1
< 0.1%
9671 1
< 0.1%
9364 1
< 0.1%
7638 1
< 0.1%
7145 1
< 0.1%
5405 1
< 0.1%
5197 1
< 0.1%
5171 1
< 0.1%
5032 1
< 0.1%

2019-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct354
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.69096
Minimum0
Maximum54013
Zeros1000
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:38.852275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q332
95-th percentile356
Maximum54013
Range54013
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1237.9905
Coefficient of variation (CV)10.343225
Kurtosis1449.8357
Mean119.69096
Median Absolute Deviation (MAD)2
Skewness34.802258
Sum300544
Variance1532620.6
MonotonicityNot monotonic
2023-12-12T23:44:39.255167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1000
39.8%
1 203
 
8.1%
2 88
 
3.5%
3 68
 
2.7%
4 60
 
2.4%
5 50
 
2.0%
7 33
 
1.3%
6 28
 
1.1%
8 28
 
1.1%
9 26
 
1.0%
Other values (344) 927
36.9%
ValueCountFrequency (%)
0 1000
39.8%
1 203
 
8.1%
2 88
 
3.5%
3 68
 
2.7%
4 60
 
2.4%
5 50
 
2.0%
6 28
 
1.1%
7 33
 
1.3%
8 28
 
1.1%
9 26
 
1.0%
ValueCountFrequency (%)
54013 1
< 0.1%
15329 1
< 0.1%
13571 1
< 0.1%
9483 1
< 0.1%
8537 1
< 0.1%
7964 1
< 0.1%
7019 1
< 0.1%
6066 1
< 0.1%
5083 1
< 0.1%
4910 1
< 0.1%

2019-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct381
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.01434
Minimum0
Maximum65607
Zeros871
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:39.379834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q338
95-th percentile439
Maximum65607
Range65607
Interquartile range (IQR)38

Descriptive statistics

Standard deviation1455.4216
Coefficient of variation (CV)10.622404
Kurtosis1641.7964
Mean137.01434
Median Absolute Deviation (MAD)4
Skewness37.524606
Sum344043
Variance2118252
MonotonicityNot monotonic
2023-12-12T23:44:39.496327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 871
34.7%
1 201
 
8.0%
2 108
 
4.3%
3 72
 
2.9%
4 52
 
2.1%
5 48
 
1.9%
7 47
 
1.9%
6 44
 
1.8%
8 33
 
1.3%
12 29
 
1.2%
Other values (371) 1006
40.1%
ValueCountFrequency (%)
0 871
34.7%
1 201
 
8.0%
2 108
 
4.3%
3 72
 
2.9%
4 52
 
2.1%
5 48
 
1.9%
6 44
 
1.8%
7 47
 
1.9%
8 33
 
1.3%
9 26
 
1.0%
ValueCountFrequency (%)
65607 1
< 0.1%
15320 1
< 0.1%
11781 1
< 0.1%
9758 1
< 0.1%
9689 1
< 0.1%
9057 1
< 0.1%
8623 1
< 0.1%
6583 1
< 0.1%
6577 1
< 0.1%
6191 1
< 0.1%

2020-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct329
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.51653
Minimum0
Maximum58070
Zeros975
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:39.623039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile349
Maximum58070
Range58070
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1258.3305
Coefficient of variation (CV)12.039536
Kurtosis1801.5734
Mean104.51653
Median Absolute Deviation (MAD)2
Skewness39.880422
Sum262441
Variance1583395.5
MonotonicityNot monotonic
2023-12-12T23:44:39.765488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 975
38.8%
1 206
 
8.2%
2 127
 
5.1%
3 80
 
3.2%
4 56
 
2.2%
5 47
 
1.9%
6 47
 
1.9%
8 40
 
1.6%
7 31
 
1.2%
11 29
 
1.2%
Other values (319) 873
34.8%
ValueCountFrequency (%)
0 975
38.8%
1 206
 
8.2%
2 127
 
5.1%
3 80
 
3.2%
4 56
 
2.2%
5 47
 
1.9%
6 47
 
1.9%
7 31
 
1.2%
8 40
 
1.6%
9 28
 
1.1%
ValueCountFrequency (%)
58070 1
< 0.1%
10976 1
< 0.1%
10070 1
< 0.1%
8792 1
< 0.1%
8154 1
< 0.1%
6182 1
< 0.1%
6154 1
< 0.1%
5484 1
< 0.1%
5448 1
< 0.1%
5114 1
< 0.1%

2020-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct363
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.04062
Minimum0
Maximum62796
Zeros964
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:39.884209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q331
95-th percentile400
Maximum62796
Range62796
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1410.2218
Coefficient of variation (CV)10.680212
Kurtosis1565.9398
Mean132.04062
Median Absolute Deviation (MAD)2
Skewness36.41445
Sum331554
Variance1988725.4
MonotonicityNot monotonic
2023-12-12T23:44:40.000132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 964
38.4%
1 211
 
8.4%
2 96
 
3.8%
3 82
 
3.3%
4 59
 
2.3%
5 49
 
2.0%
9 34
 
1.4%
7 33
 
1.3%
6 29
 
1.2%
8 27
 
1.1%
Other values (353) 927
36.9%
ValueCountFrequency (%)
0 964
38.4%
1 211
 
8.4%
2 96
 
3.8%
3 82
 
3.3%
4 59
 
2.3%
5 49
 
2.0%
6 29
 
1.2%
7 33
 
1.3%
8 27
 
1.1%
9 34
 
1.4%
ValueCountFrequency (%)
62796 1
< 0.1%
16077 1
< 0.1%
10816 1
< 0.1%
10675 1
< 0.1%
10358 1
< 0.1%
8755 1
< 0.1%
8428 1
< 0.1%
6993 1
< 0.1%
6444 1
< 0.1%
6043 1
< 0.1%

2020-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct383
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.24134
Minimum0
Maximum64297
Zeros917
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:40.131666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q340
95-th percentile453.5
Maximum64297
Range64297
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1456.9964
Coefficient of variation (CV)10.315651
Kurtosis1515.3982
Mean141.24134
Median Absolute Deviation (MAD)3
Skewness35.773641
Sum354657
Variance2122838.5
MonotonicityNot monotonic
2023-12-12T23:44:40.261771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 917
36.5%
1 172
 
6.8%
2 94
 
3.7%
3 86
 
3.4%
4 49
 
2.0%
5 46
 
1.8%
6 42
 
1.7%
7 36
 
1.4%
8 34
 
1.4%
13 26
 
1.0%
Other values (373) 1009
40.2%
ValueCountFrequency (%)
0 917
36.5%
1 172
 
6.8%
2 94
 
3.7%
3 86
 
3.4%
4 49
 
2.0%
5 46
 
1.8%
6 42
 
1.7%
7 36
 
1.4%
8 34
 
1.4%
9 24
 
1.0%
ValueCountFrequency (%)
64297 1
< 0.1%
19206 1
< 0.1%
11720 1
< 0.1%
11307 1
< 0.1%
10279 1
< 0.1%
7864 1
< 0.1%
7800 1
< 0.1%
7425 1
< 0.1%
7022 1
< 0.1%
6546 1
< 0.1%

2020-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct364
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.08761
Minimum0
Maximum75321
Zeros982
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:40.387253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile390.5
Maximum75321
Range75321
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1691.4173
Coefficient of variation (CV)11.988418
Kurtosis1572.9033
Mean141.08761
Median Absolute Deviation (MAD)3
Skewness36.72995
Sum354271
Variance2860892.3
MonotonicityNot monotonic
2023-12-12T23:44:40.519973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 982
39.1%
1 169
 
6.7%
2 85
 
3.4%
4 66
 
2.6%
3 66
 
2.6%
6 56
 
2.2%
5 56
 
2.2%
10 42
 
1.7%
8 32
 
1.3%
15 29
 
1.2%
Other values (354) 928
37.0%
ValueCountFrequency (%)
0 982
39.1%
1 169
 
6.7%
2 85
 
3.4%
3 66
 
2.6%
4 66
 
2.6%
5 56
 
2.2%
6 56
 
2.2%
7 28
 
1.1%
8 32
 
1.3%
9 26
 
1.0%
ValueCountFrequency (%)
75321 1
< 0.1%
21876 1
< 0.1%
15606 1
< 0.1%
13891 1
< 0.1%
10573 1
< 0.1%
9663 1
< 0.1%
9553 1
< 0.1%
6741 1
< 0.1%
6710 1
< 0.1%
6567 1
< 0.1%

2020-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct362
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.9773
Minimum0
Maximum60646
Zeros947
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:40.655160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile403.5
Maximum60646
Range60646
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1351.2565
Coefficient of variation (CV)10.641717
Kurtosis1613.0303
Mean126.9773
Median Absolute Deviation (MAD)3
Skewness37.057226
Sum318840
Variance1825894.1
MonotonicityNot monotonic
2023-12-12T23:44:40.789774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 947
37.7%
1 205
 
8.2%
3 88
 
3.5%
2 87
 
3.5%
5 61
 
2.4%
4 61
 
2.4%
7 46
 
1.8%
8 38
 
1.5%
6 37
 
1.5%
11 27
 
1.1%
Other values (352) 914
36.4%
ValueCountFrequency (%)
0 947
37.7%
1 205
 
8.2%
2 87
 
3.5%
3 88
 
3.5%
4 61
 
2.4%
5 61
 
2.4%
6 37
 
1.5%
7 46
 
1.8%
8 38
 
1.5%
9 26
 
1.0%
ValueCountFrequency (%)
60646 1
< 0.1%
13667 1
< 0.1%
10842 1
< 0.1%
9217 1
< 0.1%
8801 1
< 0.1%
8168 2
0.1%
6864 1
< 0.1%
6814 1
< 0.1%
6491 1
< 0.1%
6228 1
< 0.1%

2020-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct396
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.5675
Minimum0
Maximum71078
Zeros886
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:40.936799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q342
95-th percentile471
Maximum71078
Range71078
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1590.8279
Coefficient of variation (CV)10.495838
Kurtosis1586.2465
Mean151.5675
Median Absolute Deviation (MAD)4
Skewness36.723992
Sum380586
Variance2530733.4
MonotonicityNot monotonic
2023-12-12T23:44:41.157588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 886
35.3%
1 189
 
7.5%
2 87
 
3.5%
3 74
 
2.9%
4 52
 
2.1%
5 49
 
2.0%
6 48
 
1.9%
7 36
 
1.4%
8 35
 
1.4%
10 25
 
1.0%
Other values (386) 1030
41.0%
ValueCountFrequency (%)
0 886
35.3%
1 189
 
7.5%
2 87
 
3.5%
3 74
 
2.9%
4 52
 
2.1%
5 49
 
2.0%
6 48
 
1.9%
7 36
 
1.4%
8 35
 
1.4%
9 23
 
0.9%
ValueCountFrequency (%)
71078 1
< 0.1%
17053 1
< 0.1%
13868 1
< 0.1%
12225 1
< 0.1%
10775 1
< 0.1%
10585 1
< 0.1%
9751 1
< 0.1%
7124 1
< 0.1%
6795 1
< 0.1%
6312 1
< 0.1%

2020-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct368
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.91916
Minimum0
Maximum69352
Zeros889
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:41.301911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile441.5
Maximum69352
Range69352
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1523.6478
Coefficient of variation (CV)11.293043
Kurtosis1706.1354
Mean134.91916
Median Absolute Deviation (MAD)3
Skewness38.482429
Sum338782
Variance2321502.6
MonotonicityNot monotonic
2023-12-12T23:44:41.451778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 889
35.4%
1 208
 
8.3%
2 94
 
3.7%
3 81
 
3.2%
4 69
 
2.7%
5 47
 
1.9%
6 41
 
1.6%
8 36
 
1.4%
7 34
 
1.4%
11 31
 
1.2%
Other values (358) 981
39.1%
ValueCountFrequency (%)
0 889
35.4%
1 208
 
8.3%
2 94
 
3.7%
3 81
 
3.2%
4 69
 
2.7%
5 47
 
1.9%
6 41
 
1.6%
7 34
 
1.4%
8 36
 
1.4%
9 29
 
1.2%
ValueCountFrequency (%)
69352 1
< 0.1%
15106 1
< 0.1%
11704 1
< 0.1%
11019 1
< 0.1%
10332 1
< 0.1%
9782 1
< 0.1%
6959 1
< 0.1%
6912 1
< 0.1%
6768 1
< 0.1%
6021 1
< 0.1%

2020-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct355
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.85544
Minimum0
Maximum55564
Zeros964
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:41.653201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile362.5
Maximum55564
Range55564
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1222.0379
Coefficient of variation (CV)11.226246
Kurtosis1699.6403
Mean108.85544
Median Absolute Deviation (MAD)2
Skewness38.409978
Sum273336
Variance1493376.6
MonotonicityNot monotonic
2023-12-12T23:44:41.836353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 964
38.4%
1 213
 
8.5%
2 107
 
4.3%
3 85
 
3.4%
4 59
 
2.3%
5 48
 
1.9%
11 35
 
1.4%
7 32
 
1.3%
10 31
 
1.2%
8 31
 
1.2%
Other values (345) 906
36.1%
ValueCountFrequency (%)
0 964
38.4%
1 213
 
8.5%
2 107
 
4.3%
3 85
 
3.4%
4 59
 
2.3%
5 48
 
1.9%
6 28
 
1.1%
7 32
 
1.3%
8 31
 
1.2%
9 23
 
0.9%
ValueCountFrequency (%)
55564 1
< 0.1%
12907 1
< 0.1%
9422 1
< 0.1%
8969 1
< 0.1%
8346 1
< 0.1%
6982 1
< 0.1%
5438 1
< 0.1%
5279 1
< 0.1%
5120 1
< 0.1%
4845 1
< 0.1%

2020-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct356
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.97929
Minimum0
Maximum60536
Zeros959
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:42.009531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328.5
95-th percentile375.5
Maximum60536
Range60536
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation1345.6287
Coefficient of variation (CV)11.031616
Kurtosis1630.2176
Mean121.97929
Median Absolute Deviation (MAD)2
Skewness37.389639
Sum306290
Variance1810716.7
MonotonicityNot monotonic
2023-12-12T23:44:42.261098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 959
38.2%
1 190
 
7.6%
2 124
 
4.9%
3 80
 
3.2%
4 51
 
2.0%
5 44
 
1.8%
6 39
 
1.6%
7 37
 
1.5%
8 28
 
1.1%
11 28
 
1.1%
Other values (346) 931
37.1%
ValueCountFrequency (%)
0 959
38.2%
1 190
 
7.6%
2 124
 
4.9%
3 80
 
3.2%
4 51
 
2.0%
5 44
 
1.8%
6 39
 
1.6%
7 37
 
1.5%
8 28
 
1.1%
9 23
 
0.9%
ValueCountFrequency (%)
60536 1
< 0.1%
14622 1
< 0.1%
10520 1
< 0.1%
10117 1
< 0.1%
9474 1
< 0.1%
9252 1
< 0.1%
6768 1
< 0.1%
6526 1
< 0.1%
5848 1
< 0.1%
5041 1
< 0.1%

2020-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct344
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.11669
Minimum0
Maximum57660
Zeros988
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:42.511908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q327
95-th percentile367.5
Maximum57660
Range57660
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1280.5682
Coefficient of variation (CV)11.124088
Kurtosis1636.8047
Mean115.11669
Median Absolute Deviation (MAD)2
Skewness37.504862
Sum289058
Variance1639854.9
MonotonicityNot monotonic
2023-12-12T23:44:42.749626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 988
39.3%
1 204
 
8.1%
2 118
 
4.7%
3 85
 
3.4%
4 73
 
2.9%
5 39
 
1.6%
7 36
 
1.4%
6 34
 
1.4%
8 27
 
1.1%
10 26
 
1.0%
Other values (334) 881
35.1%
ValueCountFrequency (%)
0 988
39.3%
1 204
 
8.1%
2 118
 
4.7%
3 85
 
3.4%
4 73
 
2.9%
5 39
 
1.6%
6 34
 
1.4%
7 36
 
1.4%
8 27
 
1.1%
9 26
 
1.0%
ValueCountFrequency (%)
57660 1
< 0.1%
14853 1
< 0.1%
9753 1
< 0.1%
8931 1
< 0.1%
8716 1
< 0.1%
7673 1
< 0.1%
6456 1
< 0.1%
6057 1
< 0.1%
5587 1
< 0.1%
5166 1
< 0.1%

2020-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct382
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.70012
Minimum0
Maximum73396
Zeros930
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:42.986037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile443.5
Maximum73396
Range73396
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1602.4571
Coefficient of variation (CV)11.722427
Kurtosis1749.9171
Mean136.70012
Median Absolute Deviation (MAD)3
Skewness39.168229
Sum343254
Variance2567868.9
MonotonicityNot monotonic
2023-12-12T23:44:43.653186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 930
37.0%
1 190
 
7.6%
2 120
 
4.8%
3 81
 
3.2%
4 61
 
2.4%
6 42
 
1.7%
5 42
 
1.7%
7 41
 
1.6%
8 38
 
1.5%
10 28
 
1.1%
Other values (372) 938
37.4%
ValueCountFrequency (%)
0 930
37.0%
1 190
 
7.6%
2 120
 
4.8%
3 81
 
3.2%
4 61
 
2.4%
5 42
 
1.7%
6 42
 
1.7%
7 41
 
1.6%
8 38
 
1.5%
9 25
 
1.0%
ValueCountFrequency (%)
73396 1
< 0.1%
16258 1
< 0.1%
14027 1
< 0.1%
10382 1
< 0.1%
10026 1
< 0.1%
7568 1
< 0.1%
7513 1
< 0.1%
7127 1
< 0.1%
6673 1
< 0.1%
6492 1
< 0.1%

2020-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct416
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.13899
Minimum0
Maximum83515
Zeros775
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:43.861269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q345
95-th percentile552
Maximum83515
Range83515
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1870.1048
Coefficient of variation (CV)10.73915
Kurtosis1585.8969
Mean174.13899
Median Absolute Deviation (MAD)5
Skewness36.801932
Sum437263
Variance3497291.9
MonotonicityNot monotonic
2023-12-12T23:44:44.024222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 775
30.9%
1 200
 
8.0%
2 121
 
4.8%
3 81
 
3.2%
4 64
 
2.5%
5 58
 
2.3%
8 53
 
2.1%
6 44
 
1.8%
9 36
 
1.4%
7 35
 
1.4%
Other values (406) 1044
41.6%
ValueCountFrequency (%)
0 775
30.9%
1 200
 
8.0%
2 121
 
4.8%
3 81
 
3.2%
4 64
 
2.5%
5 58
 
2.3%
6 44
 
1.8%
7 35
 
1.4%
8 53
 
2.1%
9 36
 
1.4%
ValueCountFrequency (%)
83515 1
< 0.1%
22193 1
< 0.1%
17227 1
< 0.1%
13595 1
< 0.1%
13126 1
< 0.1%
11764 1
< 0.1%
9573 1
< 0.1%
8368 1
< 0.1%
7092 1
< 0.1%
7068 1
< 0.1%

2021-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct361
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.33333
Minimum0
Maximum66184
Zeros913
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:44.185047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327
95-th percentile414.5
Maximum66184
Range66184
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1442.5055
Coefficient of variation (CV)11.69599
Kurtosis1760.4324
Mean123.33333
Median Absolute Deviation (MAD)3
Skewness39.273423
Sum309690
Variance2080822
MonotonicityNot monotonic
2023-12-12T23:44:44.347231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 913
36.4%
1 209
 
8.3%
2 133
 
5.3%
3 90
 
3.6%
4 75
 
3.0%
5 48
 
1.9%
6 42
 
1.7%
9 35
 
1.4%
8 34
 
1.4%
11 27
 
1.1%
Other values (351) 905
36.0%
ValueCountFrequency (%)
0 913
36.4%
1 209
 
8.3%
2 133
 
5.3%
3 90
 
3.6%
4 75
 
3.0%
5 48
 
1.9%
6 42
 
1.7%
7 27
 
1.1%
8 34
 
1.4%
9 35
 
1.4%
ValueCountFrequency (%)
66184 1
< 0.1%
13157 1
< 0.1%
10046 1
< 0.1%
10013 1
< 0.1%
9877 1
< 0.1%
9819 1
< 0.1%
7923 1
< 0.1%
6331 1
< 0.1%
6016 1
< 0.1%
5583 1
< 0.1%

2021-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct362
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.57387
Minimum0
Maximum64238
Zeros970
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:44.501025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile412.5
Maximum64238
Range64238
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1418.3867
Coefficient of variation (CV)11.295237
Kurtosis1675.1614
Mean125.57387
Median Absolute Deviation (MAD)2
Skewness38.097963
Sum315316
Variance2011820.7
MonotonicityNot monotonic
2023-12-12T23:44:44.645683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 970
38.6%
1 187
 
7.4%
2 117
 
4.7%
3 73
 
2.9%
5 55
 
2.2%
6 52
 
2.1%
4 49
 
2.0%
7 36
 
1.4%
10 32
 
1.3%
8 29
 
1.2%
Other values (352) 911
36.3%
ValueCountFrequency (%)
0 970
38.6%
1 187
 
7.4%
2 117
 
4.7%
3 73
 
2.9%
4 49
 
2.0%
5 55
 
2.2%
6 52
 
2.1%
7 36
 
1.4%
8 29
 
1.2%
9 28
 
1.1%
ValueCountFrequency (%)
64238 1
< 0.1%
16470 1
< 0.1%
10967 1
< 0.1%
10199 1
< 0.1%
8607 1
< 0.1%
8224 1
< 0.1%
7635 1
< 0.1%
5632 1
< 0.1%
5386 1
< 0.1%
5090 1
< 0.1%

2021-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct408
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.02469
Minimum0
Maximum88552
Zeros852
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:44.823820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q336
95-th percentile565
Maximum88552
Range88552
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1955.0879
Coefficient of variation (CV)11.170355
Kurtosis1674.9449
Mean175.02469
Median Absolute Deviation (MAD)4
Skewness38.056164
Sum439487
Variance3822368.7
MonotonicityNot monotonic
2023-12-12T23:44:44.965207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 852
33.9%
1 213
 
8.5%
2 112
 
4.5%
3 71
 
2.8%
4 56
 
2.2%
5 51
 
2.0%
7 37
 
1.5%
6 35
 
1.4%
9 28
 
1.1%
16 26
 
1.0%
Other values (398) 1030
41.0%
ValueCountFrequency (%)
0 852
33.9%
1 213
 
8.5%
2 112
 
4.5%
3 71
 
2.8%
4 56
 
2.2%
5 51
 
2.0%
6 35
 
1.4%
7 37
 
1.5%
8 24
 
1.0%
9 28
 
1.1%
ValueCountFrequency (%)
88552 1
< 0.1%
22595 1
< 0.1%
14347 1
< 0.1%
13074 1
< 0.1%
13067 1
< 0.1%
9800 1
< 0.1%
8679 1
< 0.1%
8269 1
< 0.1%
8136 1
< 0.1%
8002 1
< 0.1%

2021-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct413
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.25169
Minimum0
Maximum87983
Zeros859
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:45.143074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q339
95-th percentile586
Maximum87983
Range87983
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1940.2916
Coefficient of variation (CV)11.134994
Kurtosis1680.7774
Mean174.25169
Median Absolute Deviation (MAD)4
Skewness38.097686
Sum437546
Variance3764731.3
MonotonicityNot monotonic
2023-12-12T23:44:45.327104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 859
34.2%
1 205
 
8.2%
2 107
 
4.3%
3 75
 
3.0%
4 67
 
2.7%
5 62
 
2.5%
7 41
 
1.6%
6 38
 
1.5%
9 29
 
1.2%
8 28
 
1.1%
Other values (403) 1000
39.8%
ValueCountFrequency (%)
0 859
34.2%
1 205
 
8.2%
2 107
 
4.3%
3 75
 
3.0%
4 67
 
2.7%
5 62
 
2.5%
6 38
 
1.5%
7 41
 
1.6%
8 28
 
1.1%
9 29
 
1.2%
ValueCountFrequency (%)
87983 1
< 0.1%
20081 1
< 0.1%
13454 1
< 0.1%
13406 1
< 0.1%
13233 1
< 0.1%
13047 1
< 0.1%
9990 1
< 0.1%
8607 1
< 0.1%
8421 1
< 0.1%
8250 1
< 0.1%

2021-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct379
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.63162
Minimum0
Maximum76729
Zeros894
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:45.466033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q334
95-th percentile520
Maximum76729
Range76729
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1689.5161
Coefficient of variation (CV)11.069241
Kurtosis1690.3678
Mean152.63162
Median Absolute Deviation (MAD)3
Skewness38.222761
Sum383258
Variance2854464.7
MonotonicityNot monotonic
2023-12-12T23:44:45.639825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 894
35.6%
1 202
 
8.0%
2 122
 
4.9%
3 79
 
3.1%
4 58
 
2.3%
5 52
 
2.1%
6 42
 
1.7%
8 33
 
1.3%
7 33
 
1.3%
9 32
 
1.3%
Other values (369) 964
38.4%
ValueCountFrequency (%)
0 894
35.6%
1 202
 
8.0%
2 122
 
4.9%
3 79
 
3.1%
4 58
 
2.3%
5 52
 
2.1%
6 42
 
1.7%
7 33
 
1.3%
8 33
 
1.3%
9 32
 
1.3%
ValueCountFrequency (%)
76729 1
< 0.1%
16265 1
< 0.1%
12867 1
< 0.1%
12178 1
< 0.1%
11511 1
< 0.1%
10741 1
< 0.1%
10139 1
< 0.1%
7619 1
< 0.1%
6961 1
< 0.1%
6053 1
< 0.1%

2021-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct388
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.41896
Minimum0
Maximum77844
Zeros849
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:45.809822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q338.5
95-th percentile474
Maximum77844
Range77844
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation1713.0541
Coefficient of variation (CV)11.239114
Kurtosis1695.0951
Mean152.41896
Median Absolute Deviation (MAD)4
Skewness38.31458
Sum382724
Variance2934554.3
MonotonicityNot monotonic
2023-12-12T23:44:45.987214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 849
33.8%
1 215
 
8.6%
2 105
 
4.2%
3 74
 
2.9%
4 65
 
2.6%
5 57
 
2.3%
6 43
 
1.7%
7 34
 
1.4%
9 34
 
1.4%
8 32
 
1.3%
Other values (378) 1003
39.9%
ValueCountFrequency (%)
0 849
33.8%
1 215
 
8.6%
2 105
 
4.2%
3 74
 
2.9%
4 65
 
2.6%
5 57
 
2.3%
6 43
 
1.7%
7 34
 
1.4%
8 32
 
1.3%
9 34
 
1.4%
ValueCountFrequency (%)
77844 1
< 0.1%
17737 1
< 0.1%
12844 1
< 0.1%
11530 1
< 0.1%
11385 1
< 0.1%
10297 1
< 0.1%
9225 1
< 0.1%
8371 1
< 0.1%
6467 1
< 0.1%
6455 1
< 0.1%

2021-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct372
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.66348
Minimum0
Maximum67616
Zeros909
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:46.170624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile453
Maximum67616
Range67616
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1521.4363
Coefficient of variation (CV)10.972149
Kurtosis1562.267
Mean138.66348
Median Absolute Deviation (MAD)3
Skewness36.591998
Sum348184
Variance2314768.5
MonotonicityNot monotonic
2023-12-12T23:44:46.330958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 909
36.2%
1 181
 
7.2%
2 123
 
4.9%
3 73
 
2.9%
4 70
 
2.8%
5 47
 
1.9%
7 41
 
1.6%
6 37
 
1.5%
8 34
 
1.4%
9 32
 
1.3%
Other values (362) 964
38.4%
ValueCountFrequency (%)
0 909
36.2%
1 181
 
7.2%
2 123
 
4.9%
3 73
 
2.9%
4 70
 
2.8%
5 47
 
1.9%
6 37
 
1.5%
7 41
 
1.6%
8 34
 
1.4%
9 32
 
1.3%
ValueCountFrequency (%)
67616 1
< 0.1%
21616 1
< 0.1%
11642 1
< 0.1%
11127 1
< 0.1%
9801 1
< 0.1%
8540 1
< 0.1%
8535 1
< 0.1%
7223 1
< 0.1%
5296 1
< 0.1%
5286 1
< 0.1%

2021-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct359
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.87017
Minimum0
Maximum64403
Zeros978
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:46.510540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile439.5
Maximum64403
Range64403
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1446.5952
Coefficient of variation (CV)10.887283
Kurtosis1566.3168
Mean132.87017
Median Absolute Deviation (MAD)2
Skewness36.483122
Sum333637
Variance2092637.6
MonotonicityNot monotonic
2023-12-12T23:44:46.705207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 978
38.9%
1 207
 
8.2%
2 113
 
4.5%
3 62
 
2.5%
4 61
 
2.4%
6 50
 
2.0%
8 34
 
1.4%
5 34
 
1.4%
10 33
 
1.3%
7 26
 
1.0%
Other values (349) 913
36.4%
ValueCountFrequency (%)
0 978
38.9%
1 207
 
8.2%
2 113
 
4.5%
3 62
 
2.5%
4 61
 
2.4%
5 34
 
1.4%
6 50
 
2.0%
7 26
 
1.0%
8 34
 
1.4%
9 24
 
1.0%
ValueCountFrequency (%)
64403 1
< 0.1%
16366 1
< 0.1%
14253 1
< 0.1%
10462 1
< 0.1%
10017 1
< 0.1%
9237 1
< 0.1%
6947 1
< 0.1%
6565 1
< 0.1%
6372 1
< 0.1%
5639 1
< 0.1%

2021-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct357
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.55197
Minimum0
Maximum56650
Zeros994
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:46.895911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile376.5
Maximum56650
Range56650
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1290.8531
Coefficient of variation (CV)10.707856
Kurtosis1487.9294
Mean120.55197
Median Absolute Deviation (MAD)2
Skewness35.478567
Sum302706
Variance1666301.7
MonotonicityNot monotonic
2023-12-12T23:44:47.050728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 994
39.6%
1 210
 
8.4%
2 101
 
4.0%
3 68
 
2.7%
4 61
 
2.4%
7 57
 
2.3%
6 45
 
1.8%
5 44
 
1.8%
10 30
 
1.2%
16 27
 
1.1%
Other values (347) 874
34.8%
ValueCountFrequency (%)
0 994
39.6%
1 210
 
8.4%
2 101
 
4.0%
3 68
 
2.7%
4 61
 
2.4%
5 44
 
1.8%
6 45
 
1.8%
7 57
 
2.3%
8 16
 
0.6%
9 24
 
1.0%
ValueCountFrequency (%)
56650 1
< 0.1%
18604 1
< 0.1%
10982 1
< 0.1%
9574 1
< 0.1%
8543 1
< 0.1%
8049 1
< 0.1%
7049 1
< 0.1%
5993 1
< 0.1%
5494 1
< 0.1%
5017 1
< 0.1%

2021-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct345
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.17204
Minimum0
Maximum62424
Zeros975
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:47.213997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile369
Maximum62424
Range62424
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1382.0744
Coefficient of variation (CV)11.405885
Kurtosis1656.6914
Mean121.17204
Median Absolute Deviation (MAD)2
Skewness37.805948
Sum304263
Variance1910129.8
MonotonicityNot monotonic
2023-12-12T23:44:47.364911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 975
38.8%
1 216
 
8.6%
2 113
 
4.5%
4 64
 
2.5%
5 61
 
2.4%
3 52
 
2.1%
6 48
 
1.9%
8 36
 
1.4%
7 28
 
1.1%
13 27
 
1.1%
Other values (335) 891
35.5%
ValueCountFrequency (%)
0 975
38.8%
1 216
 
8.6%
2 113
 
4.5%
3 52
 
2.1%
4 64
 
2.5%
5 61
 
2.4%
6 48
 
1.9%
7 28
 
1.1%
8 36
 
1.4%
9 20
 
0.8%
ValueCountFrequency (%)
62424 1
< 0.1%
15102 1
< 0.1%
11043 1
< 0.1%
10004 1
< 0.1%
9466 1
< 0.1%
9315 1
< 0.1%
7071 1
< 0.1%
6881 1
< 0.1%
5625 1
< 0.1%
4929 1
< 0.1%

2021-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct390
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.84827
Minimum0
Maximum66082
Zeros921
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:47.510128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330.5
95-th percentile453
Maximum66082
Range66082
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation1500.938
Coefficient of variation (CV)10.507219
Kurtosis1503.5426
Mean142.84827
Median Absolute Deviation (MAD)3
Skewness35.614393
Sum358692
Variance2252814.9
MonotonicityNot monotonic
2023-12-12T23:44:47.667582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
36.7%
1 199
 
7.9%
2 102
 
4.1%
3 73
 
2.9%
4 66
 
2.6%
5 54
 
2.2%
8 45
 
1.8%
6 44
 
1.8%
11 35
 
1.4%
13 32
 
1.3%
Other values (380) 940
37.4%
ValueCountFrequency (%)
0 921
36.7%
1 199
 
7.9%
2 102
 
4.1%
3 73
 
2.9%
4 66
 
2.6%
5 54
 
2.2%
6 44
 
1.8%
7 28
 
1.1%
8 45
 
1.8%
9 32
 
1.3%
ValueCountFrequency (%)
66082 1
< 0.1%
20870 1
< 0.1%
10976 1
< 0.1%
10208 1
< 0.1%
10140 1
< 0.1%
9754 1
< 0.1%
7567 1
< 0.1%
7258 1
< 0.1%
6894 1
< 0.1%
6326 1
< 0.1%

2021-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct415
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.20709
Minimum0
Maximum78682
Zeros771
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:47.803054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q344
95-th percentile536.5
Maximum78682
Range78682
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1803.7775
Coefficient of variation (CV)10.236691
Kurtosis1451.234
Mean176.20709
Median Absolute Deviation (MAD)5
Skewness34.885966
Sum442456
Variance3253613.1
MonotonicityNot monotonic
2023-12-12T23:44:48.260083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 771
30.7%
1 203
 
8.1%
2 112
 
4.5%
4 71
 
2.8%
3 68
 
2.7%
5 61
 
2.4%
6 43
 
1.7%
8 43
 
1.7%
7 42
 
1.7%
9 41
 
1.6%
Other values (405) 1056
42.1%
ValueCountFrequency (%)
0 771
30.7%
1 203
 
8.1%
2 112
 
4.5%
3 68
 
2.7%
4 71
 
2.8%
5 61
 
2.4%
6 43
 
1.7%
7 42
 
1.7%
8 43
 
1.7%
9 41
 
1.6%
ValueCountFrequency (%)
78682 1
< 0.1%
24578 1
< 0.1%
18872 1
< 0.1%
13504 1
< 0.1%
11513 1
< 0.1%
10335 1
< 0.1%
10159 1
< 0.1%
8063 1
< 0.1%
7860 1
< 0.1%
7505 1
< 0.1%

2022-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct359
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.34847
Minimum0
Maximum55332
Zeros926
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:48.417890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile374
Maximum55332
Range55332
Interquartile range (IQR)23

Descriptive statistics

Standard deviation1260.3973
Coefficient of variation (CV)10.649883
Kurtosis1492.4292
Mean118.34847
Median Absolute Deviation (MAD)2
Skewness35.590415
Sum297173
Variance1588601.3
MonotonicityNot monotonic
2023-12-12T23:44:48.566105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 926
36.9%
1 231
 
9.2%
2 127
 
5.1%
3 69
 
2.7%
4 67
 
2.7%
5 63
 
2.5%
7 52
 
2.1%
6 46
 
1.8%
8 39
 
1.6%
11 31
 
1.2%
Other values (349) 860
34.2%
ValueCountFrequency (%)
0 926
36.9%
1 231
 
9.2%
2 127
 
5.1%
3 69
 
2.7%
4 67
 
2.7%
5 63
 
2.5%
6 46
 
1.8%
7 52
 
2.1%
8 39
 
1.6%
9 21
 
0.8%
ValueCountFrequency (%)
55332 1
< 0.1%
19068 1
< 0.1%
9529 1
< 0.1%
9226 1
< 0.1%
7975 1
< 0.1%
7732 1
< 0.1%
6991 1
< 0.1%
5801 1
< 0.1%
4972 1
< 0.1%
4924 1
< 0.1%

2022-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct358
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.46316
Minimum0
Maximum55230
Zeros1013
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:48.737469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322.5
95-th percentile388
Maximum55230
Range55230
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation1247.1062
Coefficient of variation (CV)10.183521
Kurtosis1531.3434
Mean122.46316
Median Absolute Deviation (MAD)2
Skewness35.824038
Sum307505
Variance1555273.8
MonotonicityNot monotonic
2023-12-12T23:44:48.905579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1013
40.3%
1 207
 
8.2%
2 122
 
4.9%
3 71
 
2.8%
4 70
 
2.8%
5 46
 
1.8%
6 46
 
1.8%
8 39
 
1.6%
7 38
 
1.5%
9 33
 
1.3%
Other values (348) 826
32.9%
ValueCountFrequency (%)
0 1013
40.3%
1 207
 
8.2%
2 122
 
4.9%
3 71
 
2.8%
4 70
 
2.8%
5 46
 
1.8%
6 46
 
1.8%
7 38
 
1.5%
8 39
 
1.6%
9 33
 
1.3%
ValueCountFrequency (%)
55230 1
< 0.1%
14475 1
< 0.1%
9517 1
< 0.1%
8761 1
< 0.1%
8130 1
< 0.1%
7324 1
< 0.1%
6759 1
< 0.1%
6299 1
< 0.1%
5926 1
< 0.1%
5486 1
< 0.1%

2022-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct382
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.6587
Minimum0
Maximum62643
Zeros951
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:49.068573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332
95-th percentile458.5
Maximum62643
Range62643
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1418.6655
Coefficient of variation (CV)10.014672
Kurtosis1516.6748
Mean141.6587
Median Absolute Deviation (MAD)3
Skewness35.708841
Sum355705
Variance2012611.7
MonotonicityNot monotonic
2023-12-12T23:44:49.246595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 951
37.9%
1 174
 
6.9%
2 111
 
4.4%
3 68
 
2.7%
4 64
 
2.5%
6 48
 
1.9%
5 44
 
1.8%
7 43
 
1.7%
8 38
 
1.5%
9 36
 
1.4%
Other values (372) 934
37.2%
ValueCountFrequency (%)
0 951
37.9%
1 174
 
6.9%
2 111
 
4.4%
3 68
 
2.7%
4 64
 
2.5%
5 44
 
1.8%
6 48
 
1.9%
7 43
 
1.7%
8 38
 
1.5%
9 36
 
1.4%
ValueCountFrequency (%)
62643 1
< 0.1%
18012 1
< 0.1%
11343 1
< 0.1%
10890 1
< 0.1%
9423 1
< 0.1%
7933 1
< 0.1%
7584 1
< 0.1%
7566 1
< 0.1%
6394 1
< 0.1%
5824 1
< 0.1%

2022-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct370
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.55317
Minimum0
Maximum63318
Zeros951
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:49.385988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327
95-th percentile419
Maximum63318
Range63318
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1413.9418
Coefficient of variation (CV)10.830391
Kurtosis1602.1718
Mean130.55317
Median Absolute Deviation (MAD)3
Skewness36.997587
Sum327819
Variance1999231.5
MonotonicityNot monotonic
2023-12-12T23:44:49.536845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 951
37.9%
1 191
 
7.6%
2 103
 
4.1%
3 82
 
3.3%
5 54
 
2.2%
4 54
 
2.2%
9 40
 
1.6%
8 39
 
1.6%
10 37
 
1.5%
7 35
 
1.4%
Other values (360) 925
36.8%
ValueCountFrequency (%)
0 951
37.9%
1 191
 
7.6%
2 103
 
4.1%
3 82
 
3.3%
4 54
 
2.2%
5 54
 
2.2%
6 31
 
1.2%
7 35
 
1.4%
8 39
 
1.6%
9 40
 
1.6%
ValueCountFrequency (%)
63318 1
< 0.1%
16622 1
< 0.1%
11417 1
< 0.1%
10992 1
< 0.1%
8907 1
< 0.1%
8858 1
< 0.1%
7363 1
< 0.1%
6044 1
< 0.1%
5714 1
< 0.1%
5541 1
< 0.1%

2022-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct361
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.95261
Minimum0
Maximum58918
Zeros910
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:49.718908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332
95-th percentile413
Maximum58918
Range58918
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1318.5301
Coefficient of variation (CV)10.304832
Kurtosis1585.6014
Mean127.95261
Median Absolute Deviation (MAD)3
Skewness36.656602
Sum321289
Variance1738521.6
MonotonicityNot monotonic
2023-12-12T23:44:49.919170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 910
36.2%
1 177
 
7.0%
2 111
 
4.4%
3 81
 
3.2%
4 64
 
2.5%
5 49
 
2.0%
6 46
 
1.8%
10 44
 
1.8%
9 31
 
1.2%
7 31
 
1.2%
Other values (351) 967
38.5%
ValueCountFrequency (%)
0 910
36.2%
1 177
 
7.0%
2 111
 
4.4%
3 81
 
3.2%
4 64
 
2.5%
5 49
 
2.0%
6 46
 
1.8%
7 31
 
1.2%
8 22
 
0.9%
9 31
 
1.2%
ValueCountFrequency (%)
58918 1
< 0.1%
13959 1
< 0.1%
10156 1
< 0.1%
10023 1
< 0.1%
8651 1
< 0.1%
8576 1
< 0.1%
8560 1
< 0.1%
6493 1
< 0.1%
5842 1
< 0.1%
5419 1
< 0.1%

2022-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct372
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.97411
Minimum0
Maximum53024
Zeros929
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:50.062180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q331
95-th percentile397.5
Maximum53024
Range53024
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1232.4266
Coefficient of variation (CV)9.555612
Kurtosis1371.2945
Mean128.97411
Median Absolute Deviation (MAD)3
Skewness33.516704
Sum323854
Variance1518875.3
MonotonicityNot monotonic
2023-12-12T23:44:50.222414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 929
37.0%
1 194
 
7.7%
2 112
 
4.5%
3 69
 
2.7%
4 56
 
2.2%
5 53
 
2.1%
6 41
 
1.6%
7 37
 
1.5%
8 36
 
1.4%
12 31
 
1.2%
Other values (362) 953
38.0%
ValueCountFrequency (%)
0 929
37.0%
1 194
 
7.7%
2 112
 
4.5%
3 69
 
2.7%
4 56
 
2.2%
5 53
 
2.1%
6 41
 
1.6%
7 37
 
1.5%
8 36
 
1.4%
9 31
 
1.2%
ValueCountFrequency (%)
53024 1
< 0.1%
15336 1
< 0.1%
13734 1
< 0.1%
9525 1
< 0.1%
7922 1
< 0.1%
7591 1
< 0.1%
7069 1
< 0.1%
6754 1
< 0.1%
5507 1
< 0.1%
5405 1
< 0.1%

2022-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct339
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.23138
Minimum0
Maximum48484
Zeros1000
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-12T23:44:50.366638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile345
Maximum48484
Range48484
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1101.4438
Coefficient of variation (CV)10.567295
Kurtosis1506.4776
Mean104.23138
Median Absolute Deviation (MAD)2
Skewness35.758115
Sum261725
Variance1213178.4
MonotonicityNot monotonic
2023-12-12T23:44:50.538995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1000
39.8%
1 189
 
7.5%
2 117
 
4.7%
3 79
 
3.1%
4 60
 
2.4%
6 46
 
1.8%
5 43
 
1.7%
7 41
 
1.6%
8 38
 
1.5%
11 30
 
1.2%
Other values (329) 868
34.6%
ValueCountFrequency (%)
0 1000
39.8%
1 189
 
7.5%
2 117
 
4.7%
3 79
 
3.1%
4 60
 
2.4%
5 43
 
1.7%
6 46
 
1.8%
7 41
 
1.6%
8 38
 
1.5%
9 21
 
0.8%
ValueCountFrequency (%)
48484 1
< 0.1%
16389 1
< 0.1%
8133 1
< 0.1%
7367 1
< 0.1%
6884 1
< 0.1%
6621 1
< 0.1%
5511 1
< 0.1%
5020 1
< 0.1%
4966 1
< 0.1%
4564 1
< 0.1%

Sample

지역 및 거래주체2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
0전국 /개인>개인68458514056677967205659375232458922540474332153379540136560758070627966429775321606467107869352555646053657660733968351566184642388855287983767297784467616644035665062424660827868255332552306264363318589185302448484
1전국 /개인>법인14607123231380716021190581288214726113391465614030135711532010976160771920615606136671705315106129071462214853162582219313157164702259520081162651773721616163661860415102208702457819068144751801216622139591533616389
2전국 /개인>기타24165558516811096626599432512401441833116456686231697644411720474410842975139333913416034963722524114554718707286075634646725282816186720673837548715075486518949498651137344564
3전국 /법인>개인7078512777946004786853115502502344435171701961915114842870225061649156666021512065264963649270925237504778046986570660395187472148594416513678604399496675664241425444553816
4전국 /법인>법인73806505557012858769067288656738871369364153299689548410675786410573816813868117046982101179753712717227981982248136134541286710297980114253109821104310976188729529951711343109921015695257367
5전국 /법인>기타648206629230647104815747272334819520655441731396609375127319117697631586038012882874910117315957641701688107414246816691139121409917521404594269
6전국 /기타>개인2983240027762604284715811970161117131652155921851494169928112297184124361858261917061357182526741733159727252474201518012221147813391871162233182540306226212574275818341576
7전국 /기타>법인90214061872120588264970158463655189980510371229768113674615031768133589963110641735143311361104136321302509260728681687877756721862493592624962759352223712333
8전국 /기타>기타1322861888316129218286684521953122981130700465559796830126737633023799453819453168732915092095862165493951122524211564197561792615396724535
9서울 /개인>개인3052672983514468086186045546617689328077267324054468131127645508485477742539594558564614506503897398325324285201184213352312255219
지역 및 거래주체2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
2501제주 제주시/기타>기타0000110020121200100010002900010413110010011500
2502제주 서귀포시/개인>개인424380342746397278426391208361339319324408323644324309416302319294330531373494443563437565541384298285406472369334430450380394338
2503제주 서귀포시/개인>법인114112601221218116610846877293402816116685492170326599298541672277190822151031291459715410951220114202112115
2504제주 서귀포시/개인>기타74101211616170401401401012083712121032127171210711913078
2505제주 서귀포시/법인>개인372955545728361165049453145274738556732593042196753842588264362691413148512495420582740
2506제주 서귀포시/법인>법인10333194934212214537737370381720912814309242073519325016189158615358262978293161256
2507제주 서귀포시/법인>기타00000000000000000300000203376200044140000100
2508제주 서귀포시/기타>개인51201552411101501632102901311426211392172317423515
2509제주 서귀포시/기타>법인00124830031000000060000000400001000130594060000
2510제주 서귀포시/기타>기타00000000000003000002000100101010021191100000