Overview

Dataset statistics

Number of variables44
Number of observations2232
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory861.1 KiB
Average record size in memory395.1 B

Variable types

Text1
Numeric43

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지매매 거래현황의 월별 용도지역별(면적) 데이터입니다. -(단위 : 천㎡) - 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068015/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
2019-01 is highly skewed (γ1 = 33.8331927)Skewed
2019-02 is highly skewed (γ1 = 35.34609826)Skewed
2019-03 is highly skewed (γ1 = 35.97654532)Skewed
2019-04 is highly skewed (γ1 = 35.01339273)Skewed
2019-05 is highly skewed (γ1 = 34.59158256)Skewed
2019-06 is highly skewed (γ1 = 35.71661901)Skewed
2019-07 is highly skewed (γ1 = 33.91319979)Skewed
2019-08 is highly skewed (γ1 = 34.76280893)Skewed
2019-09 is highly skewed (γ1 = 35.17263423)Skewed
2019-10 is highly skewed (γ1 = 33.31766505)Skewed
2019-11 is highly skewed (γ1 = 33.93360048)Skewed
2019-12 is highly skewed (γ1 = 34.62934988)Skewed
2020-01 is highly skewed (γ1 = 32.8195915)Skewed
2020-02 is highly skewed (γ1 = 32.33702339)Skewed
2020-03 is highly skewed (γ1 = 35.45843541)Skewed
2020-04 is highly skewed (γ1 = 25.74289939)Skewed
2020-05 is highly skewed (γ1 = 34.86823672)Skewed
2020-06 is highly skewed (γ1 = 33.6475281)Skewed
2020-07 is highly skewed (γ1 = 33.11319875)Skewed
2020-08 is highly skewed (γ1 = 33.73695414)Skewed
2020-09 is highly skewed (γ1 = 33.62846056)Skewed
2020-10 is highly skewed (γ1 = 33.66556229)Skewed
2020-11 is highly skewed (γ1 = 33.85240781)Skewed
2020-12 is highly skewed (γ1 = 33.42022442)Skewed
2021-01 is highly skewed (γ1 = 32.75811996)Skewed
2021-02 is highly skewed (γ1 = 34.31263446)Skewed
2021-03 is highly skewed (γ1 = 35.60121514)Skewed
2021-04 is highly skewed (γ1 = 34.80481479)Skewed
2021-05 is highly skewed (γ1 = 31.79695996)Skewed
2021-06 is highly skewed (γ1 = 33.28946469)Skewed
2021-07 is highly skewed (γ1 = 32.25797359)Skewed
2021-08 is highly skewed (γ1 = 31.89654896)Skewed
2021-09 is highly skewed (γ1 = 32.92277212)Skewed
2021-10 is highly skewed (γ1 = 33.16583959)Skewed
2021-11 is highly skewed (γ1 = 33.81353367)Skewed
2021-12 is highly skewed (γ1 = 33.96643691)Skewed
2022-01 is highly skewed (γ1 = 33.02904296)Skewed
2022-02 is highly skewed (γ1 = 35.66327996)Skewed
2022-03 is highly skewed (γ1 = 35.46052817)Skewed
2022-04 is highly skewed (γ1 = 33.72039015)Skewed
2022-05 is highly skewed (γ1 = 33.9613597)Skewed
2022-06 is highly skewed (γ1 = 32.39332185)Skewed
2022-07 is highly skewed (γ1 = 33.6831679)Skewed
2019-01 has 975 (43.7%) zerosZeros
2019-02 has 1004 (45.0%) zerosZeros
2019-03 has 942 (42.2%) zerosZeros
2019-04 has 943 (42.2%) zerosZeros
2019-05 has 947 (42.4%) zerosZeros
2019-06 has 959 (43.0%) zerosZeros
2019-07 has 955 (42.8%) zerosZeros
2019-08 has 982 (44.0%) zerosZeros
2019-09 has 1011 (45.3%) zerosZeros
2019-10 has 964 (43.2%) zerosZeros
2019-11 has 957 (42.9%) zerosZeros
2019-12 has 941 (42.2%) zerosZeros
2020-01 has 953 (42.7%) zerosZeros
2020-02 has 925 (41.4%) zerosZeros
2020-03 has 901 (40.4%) zerosZeros
2020-04 has 941 (42.2%) zerosZeros
2020-05 has 954 (42.7%) zerosZeros
2020-06 has 924 (41.4%) zerosZeros
2020-07 has 895 (40.1%) zerosZeros
2020-08 has 918 (41.1%) zerosZeros
2020-09 has 947 (42.4%) zerosZeros
2020-10 has 944 (42.3%) zerosZeros
2020-11 has 934 (41.8%) zerosZeros
2020-12 has 915 (41.0%) zerosZeros
2021-01 has 928 (41.6%) zerosZeros
2021-02 has 945 (42.3%) zerosZeros
2021-03 has 888 (39.8%) zerosZeros
2021-04 has 885 (39.7%) zerosZeros
2021-05 has 904 (40.5%) zerosZeros
2021-06 has 897 (40.2%) zerosZeros
2021-07 has 922 (41.3%) zerosZeros
2021-08 has 928 (41.6%) zerosZeros
2021-09 has 973 (43.6%) zerosZeros
2021-10 has 954 (42.7%) zerosZeros
2021-11 has 930 (41.7%) zerosZeros
2021-12 has 912 (40.9%) zerosZeros
2022-01 has 978 (43.8%) zerosZeros
2022-02 has 1001 (44.8%) zerosZeros
2022-03 has 958 (42.9%) zerosZeros
2022-04 has 984 (44.1%) zerosZeros
2022-05 has 953 (42.7%) zerosZeros
2022-06 has 954 (42.7%) zerosZeros
2022-07 has 1010 (45.3%) zerosZeros

Reproduction

Analysis started2023-12-12 05:00:35.978794
Analysis finished2023-12-12 05:00:36.513886
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

Distinct2231
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
2023-12-12T14:00:36.677859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length15.78405
Min length7

Characters and Unicode

Total characters35230
Distinct characters156
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

Unique2230 ?
Unique (%)99.9%

Sample

1st row전국/도시지역_주거지역
2nd row전국/도시지역_상업지역
3rd row전국/도시지역_공업지역
4th row전국/도시지역_녹지지역
5th row전국/도시지역_개발제한구역
ValueCountFrequency (%)
경기 384
 
8.4%
서울 200
 
4.4%
경북 200
 
4.4%
경남 184
 
4.0%
전남 176
 
3.8%
강원 144
 
3.1%
충남 136
 
3.0%
전북 128
 
2.8%
부산 128
 
2.8%
충북 120
 
2.6%
Other values (2057) 2775
60.7%
2023-12-12T14:00:37.127488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3914
 
11.1%
역 3627
 
10.3%
시 2562
 
7.3%
2343
 
6.7%
/ 2232
 
6.3%
도 1993
 
5.7%
_ 1674
 
4.8%
구 1198
 
3.4%
경 1095
 
3.1%
군 680
 
1.9%
Other values (146) 13912
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28981
82.3%
Space Separator 2343
 
6.7%
Other Punctuation 2232
 
6.3%
Connector Punctuation 1674
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3914
 
13.5%
역 3627
 
12.5%
시 2562
 
8.8%
도 1993
 
6.9%
구 1198
 
4.1%
경 1095
 
3.8%
군 680
 
2.3%
전 679
 
2.3%
남 656
 
2.3%
주 559
 
1.9%
Other values (143) 12018
41.5%
Space Separator
ValueCountFrequency (%)
2343
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2232
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1674
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28981
82.3%
Common 6249
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3914
 
13.5%
역 3627
 
12.5%
시 2562
 
8.8%
도 1993
 
6.9%
구 1198
 
4.1%
경 1095
 
3.8%
군 680
 
2.3%
전 679
 
2.3%
남 656
 
2.3%
주 559
 
1.9%
Other values (143) 12018
41.5%
Common
ValueCountFrequency (%)
2343
37.5%
/ 2232
35.7%
_ 1674
26.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28981
82.3%
ASCII 6249
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3914
 
13.5%
역 3627
 
12.5%
시 2562
 
8.8%
도 1993
 
6.9%
구 1198
 
4.1%
경 1095
 
3.8%
군 680
 
2.3%
전 679
 
2.3%
남 656
 
2.3%
주 559
 
1.9%
Other values (143) 12018
41.5%
ASCII
ValueCountFrequency (%)
2343
37.5%
/ 2232
35.7%
_ 1674
26.8%

2019-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct309
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.886201
Minimum0
Maximum42414
Zeros975
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:37.313120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q320
95-th percentile323
Maximum42414
Range42414
Interquartile range (IQR)20

Descriptive statistics

Standard deviation1017.4478
Coefficient of variation (CV)10.18607
Kurtosis1355.424
Mean99.886201
Median Absolute Deviation (MAD)1.5
Skewness33.833193
Sum222946
Variance1035200.1
MonotonicityNot monotonic
2023-12-12T14:00:37.457988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 975
43.7%
1 141
 
6.3%
3 80
 
3.6%
2 73
 
3.3%
4 51
 
2.3%
5 44
 
2.0%
6 35
 
1.6%
9 30
 
1.3%
8 29
 
1.3%
16 26
 
1.2%
Other values (299) 748
33.5%
ValueCountFrequency (%)
0 975
43.7%
1 141
 
6.3%
2 73
 
3.3%
3 80
 
3.6%
4 51
 
2.3%
5 44
 
2.0%
6 35
 
1.6%
7 22
 
1.0%
8 29
 
1.3%
9 30
 
1.3%
ValueCountFrequency (%)
42414 1
< 0.1%
12177 1
< 0.1%
8034 1
< 0.1%
7492 1
< 0.1%
6666 1
< 0.1%
5339 1
< 0.1%
5155 1
< 0.1%
5102 1
< 0.1%
4266 1
< 0.1%
3917 1
< 0.1%

2019-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct275
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.592742
Minimum0
Maximum37583
Zeros1004
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:37.595734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q317
95-th percentile254.9
Maximum37583
Range37583
Interquartile range (IQR)17

Descriptive statistics

Standard deviation885.42592
Coefficient of variation (CV)10.851773
Kurtosis1453.4205
Mean81.592742
Median Absolute Deviation (MAD)1
Skewness35.346098
Sum182115
Variance783979.06
MonotonicityNot monotonic
2023-12-12T14:00:37.767308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1004
45.0%
1 143
 
6.4%
2 93
 
4.2%
3 76
 
3.4%
4 50
 
2.2%
6 43
 
1.9%
7 38
 
1.7%
5 34
 
1.5%
8 29
 
1.3%
9 25
 
1.1%
Other values (265) 697
31.2%
ValueCountFrequency (%)
0 1004
45.0%
1 143
 
6.4%
2 93
 
4.2%
3 76
 
3.4%
4 50
 
2.2%
5 34
 
1.5%
6 43
 
1.9%
7 38
 
1.7%
8 29
 
1.3%
9 25
 
1.1%
ValueCountFrequency (%)
37583 1
< 0.1%
8857 1
< 0.1%
8371 1
< 0.1%
6366 1
< 0.1%
4983 1
< 0.1%
4102 1
< 0.1%
3975 1
< 0.1%
3500 1
< 0.1%
3362 1
< 0.1%
3236 1
< 0.1%

2019-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct298
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.20923
Minimum0
Maximum47788
Zeros942
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:37.958050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile327
Maximum47788
Range47788
Interquartile range (IQR)21

Descriptive statistics

Standard deviation1117.8641
Coefficient of variation (CV)11.155301
Kurtosis1494.309
Mean100.20923
Median Absolute Deviation (MAD)2
Skewness35.976545
Sum223667
Variance1249620.1
MonotonicityNot monotonic
2023-12-12T14:00:38.143839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
42.2%
1 128
 
5.7%
2 93
 
4.2%
3 90
 
4.0%
4 50
 
2.2%
6 40
 
1.8%
7 32
 
1.4%
5 31
 
1.4%
10 28
 
1.3%
9 23
 
1.0%
Other values (288) 775
34.7%
ValueCountFrequency (%)
0 942
42.2%
1 128
 
5.7%
2 93
 
4.2%
3 90
 
4.0%
4 50
 
2.2%
5 31
 
1.4%
6 40
 
1.8%
7 32
 
1.4%
8 20
 
0.9%
9 23
 
1.0%
ValueCountFrequency (%)
47788 1
< 0.1%
11461 1
< 0.1%
8594 1
< 0.1%
7879 1
< 0.1%
6236 1
< 0.1%
6199 1
< 0.1%
5285 1
< 0.1%
4764 1
< 0.1%
4727 1
< 0.1%
3992 1
< 0.1%

2019-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct299
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.14382
Minimum0
Maximum50231
Zeros943
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:38.339118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile321
Maximum50231
Range50231
Interquartile range (IQR)22

Descriptive statistics

Standard deviation1187.205
Coefficient of variation (CV)10.877437
Kurtosis1434.5317
Mean109.14382
Median Absolute Deviation (MAD)2
Skewness35.013393
Sum243609
Variance1409455.8
MonotonicityNot monotonic
2023-12-12T14:00:38.533884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 943
42.2%
1 140
 
6.3%
2 89
 
4.0%
3 68
 
3.0%
4 52
 
2.3%
5 45
 
2.0%
7 33
 
1.5%
6 30
 
1.3%
8 29
 
1.3%
13 27
 
1.2%
Other values (289) 776
34.8%
ValueCountFrequency (%)
0 943
42.2%
1 140
 
6.3%
2 89
 
4.0%
3 68
 
3.0%
4 52
 
2.3%
5 45
 
2.0%
6 30
 
1.3%
7 33
 
1.5%
8 29
 
1.3%
9 26
 
1.2%
ValueCountFrequency (%)
50231 1
< 0.1%
12018 1
< 0.1%
10534 1
< 0.1%
7950 1
< 0.1%
6695 1
< 0.1%
6462 1
< 0.1%
5492 1
< 0.1%
5280 1
< 0.1%
5144 1
< 0.1%
4881 1
< 0.1%

2019-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct311
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.90143
Minimum0
Maximum46774
Zeros947
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:38.728964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile317
Maximum46774
Range46774
Interquartile range (IQR)22

Descriptive statistics

Standard deviation1111.4844
Coefficient of variation (CV)10.397282
Kurtosis1405.4863
Mean106.90143
Median Absolute Deviation (MAD)2
Skewness34.591583
Sum238604
Variance1235397.5
MonotonicityNot monotonic
2023-12-12T14:00:38.916569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 947
42.4%
1 151
 
6.8%
2 100
 
4.5%
3 67
 
3.0%
4 46
 
2.1%
5 42
 
1.9%
9 33
 
1.5%
8 29
 
1.3%
10 26
 
1.2%
7 24
 
1.1%
Other values (301) 767
34.4%
ValueCountFrequency (%)
0 947
42.4%
1 151
 
6.8%
2 100
 
4.5%
3 67
 
3.0%
4 46
 
2.1%
5 42
 
1.9%
6 24
 
1.1%
7 24
 
1.1%
8 29
 
1.3%
9 33
 
1.5%
ValueCountFrequency (%)
46774 1
< 0.1%
12772 1
< 0.1%
8463 1
< 0.1%
7446 1
< 0.1%
7319 1
< 0.1%
5826 1
< 0.1%
5229 1
< 0.1%
4804 1
< 0.1%
4783 1
< 0.1%
4496 1
< 0.1%

2019-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct276
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.840054
Minimum0
Maximum40010
Zeros959
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:39.083456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q318
95-th percentile264
Maximum40010
Range40010
Interquartile range (IQR)18

Descriptive statistics

Standard deviation937.83324
Coefficient of variation (CV)10.799547
Kurtosis1480.9304
Mean86.840054
Median Absolute Deviation (MAD)1.5
Skewness35.716619
Sum193827
Variance879531.18
MonotonicityNot monotonic
2023-12-12T14:00:39.296172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 959
43.0%
1 157
 
7.0%
2 86
 
3.9%
3 66
 
3.0%
4 52
 
2.3%
5 43
 
1.9%
6 40
 
1.8%
7 35
 
1.6%
11 28
 
1.3%
9 26
 
1.2%
Other values (266) 740
33.2%
ValueCountFrequency (%)
0 959
43.0%
1 157
 
7.0%
2 86
 
3.9%
3 66
 
3.0%
4 52
 
2.3%
5 43
 
1.9%
6 40
 
1.8%
7 35
 
1.6%
8 23
 
1.0%
9 26
 
1.2%
ValueCountFrequency (%)
40010 1
< 0.1%
8478 1
< 0.1%
8365 1
< 0.1%
5949 1
< 0.1%
5284 1
< 0.1%
5070 1
< 0.1%
4819 1
< 0.1%
4584 1
< 0.1%
4227 1
< 0.1%
3570 1
< 0.1%

2019-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct282
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.198925
Minimum0
Maximum36326
Zeros955
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:39.472491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile263.45
Maximum36326
Range36326
Interquartile range (IQR)22

Descriptive statistics

Standard deviation871.97271
Coefficient of variation (CV)10.356103
Kurtosis1354.8102
Mean84.198925
Median Absolute Deviation (MAD)2
Skewness33.9132
Sum187932
Variance760336.4
MonotonicityNot monotonic
2023-12-12T14:00:39.646484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
42.8%
1 138
 
6.2%
2 86
 
3.9%
3 72
 
3.2%
4 64
 
2.9%
5 47
 
2.1%
6 39
 
1.7%
8 30
 
1.3%
9 29
 
1.3%
7 29
 
1.3%
Other values (272) 743
33.3%
ValueCountFrequency (%)
0 955
42.8%
1 138
 
6.2%
2 86
 
3.9%
3 72
 
3.2%
4 64
 
2.9%
5 47
 
2.1%
6 39
 
1.7%
7 29
 
1.3%
8 30
 
1.3%
9 29
 
1.3%
ValueCountFrequency (%)
36326 1
< 0.1%
11163 1
< 0.1%
7063 1
< 0.1%
6166 1
< 0.1%
5323 1
< 0.1%
5115 1
< 0.1%
4668 1
< 0.1%
4387 1
< 0.1%
3708 1
< 0.1%
2873 1
< 0.1%

2019-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct273
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.387993
Minimum0
Maximum34299
Zeros982
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:39.806924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q320
95-th percentile235.9
Maximum34299
Range34299
Interquartile range (IQR)20

Descriptive statistics

Standard deviation813.35877
Coefficient of variation (CV)10.510142
Kurtosis1416.1068
Mean77.387993
Median Absolute Deviation (MAD)1
Skewness34.762809
Sum172730
Variance661552.49
MonotonicityNot monotonic
2023-12-12T14:00:39.983185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 982
44.0%
1 140
 
6.3%
2 83
 
3.7%
3 71
 
3.2%
4 62
 
2.8%
5 43
 
1.9%
6 35
 
1.6%
7 29
 
1.3%
8 26
 
1.2%
15 24
 
1.1%
Other values (263) 737
33.0%
ValueCountFrequency (%)
0 982
44.0%
1 140
 
6.3%
2 83
 
3.7%
3 71
 
3.2%
4 62
 
2.8%
5 43
 
1.9%
6 35
 
1.6%
7 29
 
1.3%
8 26
 
1.2%
9 22
 
1.0%
ValueCountFrequency (%)
34299 1
< 0.1%
8406 1
< 0.1%
6769 1
< 0.1%
5849 1
< 0.1%
5802 1
< 0.1%
4880 1
< 0.1%
4674 1
< 0.1%
3446 1
< 0.1%
3070 1
< 0.1%
3053 1
< 0.1%

2019-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct258
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.377688
Minimum0
Maximum31847
Zeros1011
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:40.144578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q318
95-th percentile210.45
Maximum31847
Range31847
Interquartile range (IQR)18

Descriptive statistics

Standard deviation751.15388
Coefficient of variation (CV)10.673182
Kurtosis1445.2738
Mean70.377688
Median Absolute Deviation (MAD)1
Skewness35.172634
Sum157083
Variance564232.15
MonotonicityNot monotonic
2023-12-12T14:00:40.304432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1011
45.3%
1 146
 
6.5%
2 92
 
4.1%
3 65
 
2.9%
4 60
 
2.7%
5 42
 
1.9%
7 31
 
1.4%
10 29
 
1.3%
6 29
 
1.3%
8 27
 
1.2%
Other values (248) 700
31.4%
ValueCountFrequency (%)
0 1011
45.3%
1 146
 
6.5%
2 92
 
4.1%
3 65
 
2.9%
4 60
 
2.7%
5 42
 
1.9%
6 29
 
1.3%
7 31
 
1.4%
8 27
 
1.2%
9 21
 
0.9%
ValueCountFrequency (%)
31847 1
< 0.1%
6980 1
< 0.1%
6494 1
< 0.1%
5029 1
< 0.1%
5027 1
< 0.1%
4660 1
< 0.1%
4210 1
< 0.1%
3612 1
< 0.1%
2870 1
< 0.1%
2550 1
< 0.1%

2019-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct276
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.051075
Minimum0
Maximum32946
Zeros964
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:40.794990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile259.45
Maximum32946
Range32946
Interquartile range (IQR)23

Descriptive statistics

Standard deviation795.90315
Coefficient of variation (CV)9.9424417
Kurtosis1319.824
Mean80.051075
Median Absolute Deviation (MAD)2
Skewness33.317665
Sum178674
Variance633461.82
MonotonicityNot monotonic
2023-12-12T14:00:40.934139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 964
43.2%
1 149
 
6.7%
2 91
 
4.1%
3 67
 
3.0%
5 52
 
2.3%
4 46
 
2.1%
6 33
 
1.5%
10 25
 
1.1%
11 22
 
1.0%
8 21
 
0.9%
Other values (266) 762
34.1%
ValueCountFrequency (%)
0 964
43.2%
1 149
 
6.7%
2 91
 
4.1%
3 67
 
3.0%
4 46
 
2.1%
5 52
 
2.3%
6 33
 
1.5%
7 20
 
0.9%
8 21
 
0.9%
9 18
 
0.8%
ValueCountFrequency (%)
32946 1
< 0.1%
9687 1
< 0.1%
6986 1
< 0.1%
6627 1
< 0.1%
4814 1
< 0.1%
4470 1
< 0.1%
4023 1
< 0.1%
3589 1
< 0.1%
3357 1
< 0.1%
3321 1
< 0.1%

2019-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct288
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.905914
Minimum0
Maximum38188
Zeros957
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:41.074091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile256
Maximum38188
Range38188
Interquartile range (IQR)25

Descriptive statistics

Standard deviation914.48646
Coefficient of variation (CV)10.171594
Kurtosis1363.3058
Mean89.905914
Median Absolute Deviation (MAD)2
Skewness33.9336
Sum200670
Variance836285.48
MonotonicityNot monotonic
2023-12-12T14:00:41.227216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 957
42.9%
1 137
 
6.1%
2 90
 
4.0%
3 60
 
2.7%
4 56
 
2.5%
5 47
 
2.1%
6 32
 
1.4%
7 30
 
1.3%
10 30
 
1.3%
9 29
 
1.3%
Other values (278) 764
34.2%
ValueCountFrequency (%)
0 957
42.9%
1 137
 
6.1%
2 90
 
4.0%
3 60
 
2.7%
4 56
 
2.5%
5 47
 
2.1%
6 32
 
1.4%
7 30
 
1.3%
8 24
 
1.1%
9 29
 
1.3%
ValueCountFrequency (%)
38188 1
< 0.1%
9293 1
< 0.1%
9071 1
< 0.1%
7225 1
< 0.1%
6189 1
< 0.1%
5035 1
< 0.1%
4887 1
< 0.1%
3565 1
< 0.1%
3536 1
< 0.1%
2891 1
< 0.1%

2019-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct308
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.86873
Minimum0
Maximum47083
Zeros941
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:41.378572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile338.35
Maximum47083
Range47083
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1118.3916
Coefficient of variation (CV)10.465097
Kurtosis1407.036
Mean106.86873
Median Absolute Deviation (MAD)2
Skewness34.62935
Sum238531
Variance1250799.8
MonotonicityNot monotonic
2023-12-12T14:00:41.515075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 941
42.2%
1 135
 
6.0%
2 89
 
4.0%
3 64
 
2.9%
5 50
 
2.2%
4 40
 
1.8%
8 33
 
1.5%
10 32
 
1.4%
9 30
 
1.3%
7 24
 
1.1%
Other values (298) 794
35.6%
ValueCountFrequency (%)
0 941
42.2%
1 135
 
6.0%
2 89
 
4.0%
3 64
 
2.9%
4 40
 
1.8%
5 50
 
2.2%
6 18
 
0.8%
7 24
 
1.1%
8 33
 
1.5%
9 30
 
1.3%
ValueCountFrequency (%)
47083 1
< 0.1%
11443 1
< 0.1%
9796 1
< 0.1%
8666 1
< 0.1%
8147 1
< 0.1%
5651 1
< 0.1%
5571 1
< 0.1%
5106 1
< 0.1%
4850 1
< 0.1%
4535 1
< 0.1%

2020-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct274
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.782258
Minimum0
Maximum32454
Zeros953
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:41.658309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile244.45
Maximum32454
Range32454
Interquartile range (IQR)25

Descriptive statistics

Standard deviation789.81622
Coefficient of variation (CV)9.8996474
Kurtosis1284.4835
Mean79.782258
Median Absolute Deviation (MAD)2
Skewness32.819592
Sum178074
Variance623809.66
MonotonicityNot monotonic
2023-12-12T14:00:41.792261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 953
42.7%
1 145
 
6.5%
2 88
 
3.9%
3 60
 
2.7%
4 60
 
2.7%
5 37
 
1.7%
6 35
 
1.6%
7 32
 
1.4%
9 30
 
1.3%
10 29
 
1.3%
Other values (264) 763
34.2%
ValueCountFrequency (%)
0 953
42.7%
1 145
 
6.5%
2 88
 
3.9%
3 60
 
2.7%
4 60
 
2.7%
5 37
 
1.7%
6 35
 
1.6%
7 32
 
1.4%
8 22
 
1.0%
9 30
 
1.3%
ValueCountFrequency (%)
32454 1
< 0.1%
10014 1
< 0.1%
7435 1
< 0.1%
6311 1
< 0.1%
5833 1
< 0.1%
4071 1
< 0.1%
3836 1
< 0.1%
3740 1
< 0.1%
3461 1
< 0.1%
2991 1
< 0.1%

2020-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct301
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.3983
Minimum0
Maximum45584
Zeros925
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:41.936025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q327
95-th percentile310.45
Maximum45584
Range45584
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1118.9888
Coefficient of variation (CV)10.419056
Kurtosis1247.5189
Mean107.3983
Median Absolute Deviation (MAD)2
Skewness32.337023
Sum239713
Variance1252136
MonotonicityNot monotonic
2023-12-12T14:00:42.082865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 925
41.4%
1 134
 
6.0%
2 102
 
4.6%
3 74
 
3.3%
4 51
 
2.3%
7 42
 
1.9%
6 37
 
1.7%
5 34
 
1.5%
9 27
 
1.2%
8 27
 
1.2%
Other values (291) 779
34.9%
ValueCountFrequency (%)
0 925
41.4%
1 134
 
6.0%
2 102
 
4.6%
3 74
 
3.3%
4 51
 
2.3%
5 34
 
1.5%
6 37
 
1.7%
7 42
 
1.9%
8 27
 
1.2%
9 27
 
1.2%
ValueCountFrequency (%)
45584 1
< 0.1%
15663 1
< 0.1%
10980 1
< 0.1%
8689 1
< 0.1%
8220 1
< 0.1%
5649 1
< 0.1%
5089 1
< 0.1%
4510 1
< 0.1%
3852 1
< 0.1%
3800 1
< 0.1%

2020-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct311
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.90457
Minimum0
Maximum51033
Zeros901
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:42.227518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile322.45
Maximum51033
Range51033
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1199.7698
Coefficient of variation (CV)10.818038
Kurtosis1463.8981
Mean110.90457
Median Absolute Deviation (MAD)2
Skewness35.458435
Sum247539
Variance1439447.6
MonotonicityNot monotonic
2023-12-12T14:00:42.398226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 901
40.4%
1 134
 
6.0%
2 83
 
3.7%
3 72
 
3.2%
4 58
 
2.6%
5 47
 
2.1%
8 34
 
1.5%
6 33
 
1.5%
7 27
 
1.2%
14 25
 
1.1%
Other values (301) 818
36.6%
ValueCountFrequency (%)
0 901
40.4%
1 134
 
6.0%
2 83
 
3.7%
3 72
 
3.2%
4 58
 
2.6%
5 47
 
2.1%
6 33
 
1.5%
7 27
 
1.2%
8 34
 
1.5%
9 22
 
1.0%
ValueCountFrequency (%)
51033 1
< 0.1%
11677 1
< 0.1%
9291 1
< 0.1%
8294 1
< 0.1%
7554 1
< 0.1%
6624 1
< 0.1%
6074 1
< 0.1%
5893 1
< 0.1%
5350 1
< 0.1%
5026 1
< 0.1%

2020-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct300
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.61156
Minimum0
Maximum40209
Zeros941
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:42.615079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile273.45
Maximum40209
Range40209
Interquartile range (IQR)22

Descriptive statistics

Standard deviation1118.0013
Coefficient of variation (CV)10.199666
Kurtosis811.61785
Mean109.61156
Median Absolute Deviation (MAD)2
Skewness25.742899
Sum244653
Variance1249926.9
MonotonicityNot monotonic
2023-12-12T14:00:42.818863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 941
42.2%
1 136
 
6.1%
2 89
 
4.0%
3 74
 
3.3%
4 47
 
2.1%
6 44
 
2.0%
7 35
 
1.6%
5 34
 
1.5%
8 29
 
1.3%
9 27
 
1.2%
Other values (290) 776
34.8%
ValueCountFrequency (%)
0 941
42.2%
1 136
 
6.1%
2 89
 
4.0%
3 74
 
3.3%
4 47
 
2.1%
5 34
 
1.5%
6 44
 
2.0%
7 35
 
1.6%
8 29
 
1.3%
9 27
 
1.2%
ValueCountFrequency (%)
40209 1
< 0.1%
19427 1
< 0.1%
14967 1
< 0.1%
13557 1
< 0.1%
11852 1
< 0.1%
6976 1
< 0.1%
6799 1
< 0.1%
5426 1
< 0.1%
4911 1
< 0.1%
4532 1
< 0.1%

2020-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct298
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.967742
Minimum0
Maximum44173
Zeros954
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:43.055494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile287
Maximum44173
Range44173
Interquartile range (IQR)24

Descriptive statistics

Standard deviation1045.2797
Coefficient of variation (CV)10.45617
Kurtosis1426.8061
Mean99.967742
Median Absolute Deviation (MAD)2
Skewness34.868237
Sum223128
Variance1092609.6
MonotonicityNot monotonic
2023-12-12T14:00:43.258980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 954
42.7%
1 152
 
6.8%
2 91
 
4.1%
3 65
 
2.9%
4 47
 
2.1%
5 47
 
2.1%
8 36
 
1.6%
6 34
 
1.5%
9 26
 
1.2%
7 25
 
1.1%
Other values (288) 755
33.8%
ValueCountFrequency (%)
0 954
42.7%
1 152
 
6.8%
2 91
 
4.1%
3 65
 
2.9%
4 47
 
2.1%
5 47
 
2.1%
6 34
 
1.5%
7 25
 
1.1%
8 36
 
1.6%
9 26
 
1.2%
ValueCountFrequency (%)
44173 1
< 0.1%
10425 1
< 0.1%
8750 1
< 0.1%
7297 1
< 0.1%
6750 1
< 0.1%
5296 1
< 0.1%
5259 1
< 0.1%
5073 1
< 0.1%
4608 1
< 0.1%
3934 1
< 0.1%

2020-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct313
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.82616
Minimum0
Maximum48823
Zeros924
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:43.433733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q332
95-th percentile311
Maximum48823
Range48823
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1175.4595
Coefficient of variation (CV)10.418324
Kurtosis1338.1574
Mean112.82616
Median Absolute Deviation (MAD)2
Skewness33.647528
Sum251828
Variance1381705.1
MonotonicityNot monotonic
2023-12-12T14:00:43.640085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 924
41.4%
1 134
 
6.0%
2 75
 
3.4%
3 69
 
3.1%
5 42
 
1.9%
4 42
 
1.9%
6 32
 
1.4%
9 29
 
1.3%
10 27
 
1.2%
8 24
 
1.1%
Other values (303) 834
37.4%
ValueCountFrequency (%)
0 924
41.4%
1 134
 
6.0%
2 75
 
3.4%
3 69
 
3.1%
4 42
 
1.9%
5 42
 
1.9%
6 32
 
1.4%
7 20
 
0.9%
8 24
 
1.1%
9 29
 
1.3%
ValueCountFrequency (%)
48823 1
< 0.1%
12841 1
< 0.1%
12702 1
< 0.1%
9862 1
< 0.1%
7277 1
< 0.1%
6481 1
< 0.1%
5960 1
< 0.1%
4750 1
< 0.1%
3932 1
< 0.1%
3887 1
< 0.1%

2020-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct301
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.24552
Minimum0
Maximum39991
Zeros895
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:43.789122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332
95-th percentile289.05
Maximum39991
Range39991
Interquartile range (IQR)32

Descriptive statistics

Standard deviation968.67837
Coefficient of variation (CV)9.961162
Kurtosis1306.0173
Mean97.24552
Median Absolute Deviation (MAD)3
Skewness33.113199
Sum217052
Variance938337.79
MonotonicityNot monotonic
2023-12-12T14:00:43.955934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 895
40.1%
1 125
 
5.6%
2 79
 
3.5%
3 71
 
3.2%
4 52
 
2.3%
6 37
 
1.7%
5 34
 
1.5%
8 33
 
1.5%
7 32
 
1.4%
9 26
 
1.2%
Other values (291) 848
38.0%
ValueCountFrequency (%)
0 895
40.1%
1 125
 
5.6%
2 79
 
3.5%
3 71
 
3.2%
4 52
 
2.3%
5 34
 
1.5%
6 37
 
1.7%
7 32
 
1.4%
8 33
 
1.5%
9 26
 
1.2%
ValueCountFrequency (%)
39991 1
< 0.1%
11154 1
< 0.1%
9781 1
< 0.1%
7392 1
< 0.1%
6594 1
< 0.1%
6518 1
< 0.1%
4512 1
< 0.1%
4483 1
< 0.1%
4148 1
< 0.1%
3591 1
< 0.1%

2020-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct268
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.681452
Minimum0
Maximum34165
Zeros918
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:44.175884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile233.45
Maximum34165
Range34165
Interquartile range (IQR)25

Descriptive statistics

Standard deviation822.11622
Coefficient of variation (CV)10.317536
Kurtosis1341.983
Mean79.681452
Median Absolute Deviation (MAD)2
Skewness33.736954
Sum177849
Variance675875.07
MonotonicityNot monotonic
2023-12-12T14:00:44.386497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918
41.1%
1 141
 
6.3%
2 78
 
3.5%
3 72
 
3.2%
4 61
 
2.7%
5 43
 
1.9%
6 42
 
1.9%
10 31
 
1.4%
12 28
 
1.3%
7 28
 
1.3%
Other values (258) 790
35.4%
ValueCountFrequency (%)
0 918
41.1%
1 141
 
6.3%
2 78
 
3.5%
3 72
 
3.2%
4 61
 
2.7%
5 43
 
1.9%
6 42
 
1.9%
7 28
 
1.3%
8 22
 
1.0%
9 25
 
1.1%
ValueCountFrequency (%)
34165 1
< 0.1%
10241 1
< 0.1%
6743 1
< 0.1%
6667 1
< 0.1%
6638 1
< 0.1%
4118 1
< 0.1%
4069 1
< 0.1%
3199 1
< 0.1%
3070 1
< 0.1%
2847 1
< 0.1%

2020-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct285
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.692204
Minimum0
Maximum40323
Zeros947
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:44.564039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile251
Maximum40323
Range40323
Interquartile range (IQR)24

Descriptive statistics

Standard deviation971.16031
Coefficient of variation (CV)10.47726
Kurtosis1336.9452
Mean92.692204
Median Absolute Deviation (MAD)2
Skewness33.628461
Sum206889
Variance943152.34
MonotonicityNot monotonic
2023-12-12T14:00:44.738027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 947
42.4%
1 124
 
5.6%
2 99
 
4.4%
3 68
 
3.0%
5 48
 
2.2%
4 41
 
1.8%
6 37
 
1.7%
7 34
 
1.5%
8 30
 
1.3%
12 25
 
1.1%
Other values (275) 779
34.9%
ValueCountFrequency (%)
0 947
42.4%
1 124
 
5.6%
2 99
 
4.4%
3 68
 
3.0%
4 41
 
1.8%
5 48
 
2.2%
6 37
 
1.7%
7 34
 
1.5%
8 30
 
1.3%
9 24
 
1.1%
ValueCountFrequency (%)
40323 1
< 0.1%
11864 1
< 0.1%
9145 1
< 0.1%
7018 1
< 0.1%
6953 1
< 0.1%
5846 1
< 0.1%
4290 1
< 0.1%
3697 1
< 0.1%
3692 1
< 0.1%
3665 1
< 0.1%

2020-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct272
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.083781
Minimum0
Maximum35595
Zeros944
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:44.900255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile225.45
Maximum35595
Range35595
Interquartile range (IQR)24

Descriptive statistics

Standard deviation856.79317
Coefficient of variation (CV)10.3124
Kurtosis1339.3624
Mean83.083781
Median Absolute Deviation (MAD)2
Skewness33.665562
Sum185443
Variance734094.54
MonotonicityNot monotonic
2023-12-12T14:00:45.098067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 944
42.3%
1 133
 
6.0%
2 98
 
4.4%
3 62
 
2.8%
4 57
 
2.6%
5 40
 
1.8%
6 33
 
1.5%
10 29
 
1.3%
7 26
 
1.2%
9 24
 
1.1%
Other values (262) 786
35.2%
ValueCountFrequency (%)
0 944
42.3%
1 133
 
6.0%
2 98
 
4.4%
3 62
 
2.8%
4 57
 
2.6%
5 40
 
1.8%
6 33
 
1.5%
7 26
 
1.2%
8 24
 
1.1%
9 24
 
1.1%
ValueCountFrequency (%)
35595 1
< 0.1%
9728 1
< 0.1%
9020 1
< 0.1%
7139 1
< 0.1%
5010 1
< 0.1%
4054 1
< 0.1%
4029 1
< 0.1%
3920 1
< 0.1%
3135 1
< 0.1%
3033 1
< 0.1%

2020-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct302
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.09588
Minimum0
Maximum44508
Zeros934
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:45.275043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile323.35
Maximum44508
Range44508
Interquartile range (IQR)29

Descriptive statistics

Standard deviation1069.4293
Coefficient of variation (CV)10.373153
Kurtosis1349.2372
Mean103.09588
Median Absolute Deviation (MAD)2
Skewness33.852408
Sum230110
Variance1143679
MonotonicityNot monotonic
2023-12-12T14:00:45.690897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 934
41.8%
1 131
 
5.9%
2 80
 
3.6%
3 64
 
2.9%
4 47
 
2.1%
5 39
 
1.7%
6 34
 
1.5%
7 28
 
1.3%
8 25
 
1.1%
12 24
 
1.1%
Other values (292) 826
37.0%
ValueCountFrequency (%)
0 934
41.8%
1 131
 
5.9%
2 80
 
3.6%
3 64
 
2.9%
4 47
 
2.1%
5 39
 
1.7%
6 34
 
1.5%
7 28
 
1.3%
8 25
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
44508 1
< 0.1%
12402 1
< 0.1%
10979 1
< 0.1%
8653 1
< 0.1%
7309 1
< 0.1%
5581 1
< 0.1%
5469 1
< 0.1%
4054 1
< 0.1%
3748 1
< 0.1%
3194 1
< 0.1%

2020-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct338
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.47446
Minimum0
Maximum52151
Zeros915
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:45.839717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile377.9
Maximum52151
Range52151
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1260.3656
Coefficient of variation (CV)10.207501
Kurtosis1320.4898
Mean123.47446
Median Absolute Deviation (MAD)3
Skewness33.420224
Sum275595
Variance1588521.6
MonotonicityNot monotonic
2023-12-12T14:00:45.979413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 915
41.0%
1 103
 
4.6%
2 78
 
3.5%
3 62
 
2.8%
5 53
 
2.4%
4 44
 
2.0%
6 31
 
1.4%
7 26
 
1.2%
8 25
 
1.1%
20 23
 
1.0%
Other values (328) 872
39.1%
ValueCountFrequency (%)
0 915
41.0%
1 103
 
4.6%
2 78
 
3.5%
3 62
 
2.8%
4 44
 
2.0%
5 53
 
2.4%
6 31
 
1.4%
7 26
 
1.2%
8 25
 
1.1%
9 22
 
1.0%
ValueCountFrequency (%)
52151 1
< 0.1%
16184 1
< 0.1%
11226 1
< 0.1%
10368 1
< 0.1%
8081 1
< 0.1%
7535 1
< 0.1%
6296 1
< 0.1%
5677 1
< 0.1%
5324 1
< 0.1%
4425 1
< 0.1%

2021-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct297
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.953405
Minimum0
Maximum35391
Zeros928
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:46.126400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q327
95-th percentile285.25
Maximum35391
Range35391
Interquartile range (IQR)27

Descriptive statistics

Standard deviation861.70267
Coefficient of variation (CV)9.5794335
Kurtosis1282.1969
Mean89.953405
Median Absolute Deviation (MAD)2
Skewness32.75812
Sum200776
Variance742531.48
MonotonicityNot monotonic
2023-12-12T14:00:46.259372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 928
41.6%
1 131
 
5.9%
2 82
 
3.7%
3 62
 
2.8%
4 52
 
2.3%
5 43
 
1.9%
6 42
 
1.9%
8 30
 
1.3%
7 28
 
1.3%
9 21
 
0.9%
Other values (287) 813
36.4%
ValueCountFrequency (%)
0 928
41.6%
1 131
 
5.9%
2 82
 
3.7%
3 62
 
2.8%
4 52
 
2.3%
5 43
 
1.9%
6 42
 
1.9%
7 28
 
1.3%
8 30
 
1.3%
9 21
 
0.9%
ValueCountFrequency (%)
35391 1
< 0.1%
11476 1
< 0.1%
7239 1
< 0.1%
6360 1
< 0.1%
5708 1
< 0.1%
4944 1
< 0.1%
4556 1
< 0.1%
3720 1
< 0.1%
3595 1
< 0.1%
3444 1
< 0.1%

2021-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct289
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.012993
Minimum0
Maximum41268
Zeros945
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:46.427833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326
95-th percentile296
Maximum41268
Range41268
Interquartile range (IQR)26

Descriptive statistics

Standard deviation984.52218
Coefficient of variation (CV)10.361974
Kurtosis1385.1232
Mean95.012993
Median Absolute Deviation (MAD)2
Skewness34.312634
Sum212069
Variance969283.92
MonotonicityNot monotonic
2023-12-12T14:00:46.591590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 945
42.3%
1 128
 
5.7%
2 81
 
3.6%
3 67
 
3.0%
4 57
 
2.6%
5 35
 
1.6%
6 33
 
1.5%
7 31
 
1.4%
8 29
 
1.3%
11 27
 
1.2%
Other values (279) 799
35.8%
ValueCountFrequency (%)
0 945
42.3%
1 128
 
5.7%
2 81
 
3.6%
3 67
 
3.0%
4 57
 
2.6%
5 35
 
1.6%
6 33
 
1.5%
7 31
 
1.4%
8 29
 
1.3%
9 26
 
1.2%
ValueCountFrequency (%)
41268 1
< 0.1%
11853 1
< 0.1%
7150 1
< 0.1%
6605 1
< 0.1%
6021 1
< 0.1%
5998 1
< 0.1%
5214 1
< 0.1%
4790 1
< 0.1%
4490 1
< 0.1%
4285 1
< 0.1%

2021-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct340
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.11828
Minimum0
Maximum59088
Zeros888
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:46.744634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q335
95-th percentile398
Maximum59088
Range59088
Interquartile range (IQR)35

Descriptive statistics

Standard deviation1386.6338
Coefficient of variation (CV)10.575442
Kurtosis1473.8736
Mean131.11828
Median Absolute Deviation (MAD)3
Skewness35.601215
Sum292656
Variance1922753.2
MonotonicityNot monotonic
2023-12-12T14:00:46.905588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 888
39.8%
1 108
 
4.8%
2 81
 
3.6%
3 59
 
2.6%
4 50
 
2.2%
5 48
 
2.2%
7 40
 
1.8%
6 36
 
1.6%
8 26
 
1.2%
9 26
 
1.2%
Other values (330) 870
39.0%
ValueCountFrequency (%)
0 888
39.8%
1 108
 
4.8%
2 81
 
3.6%
3 59
 
2.6%
4 50
 
2.2%
5 48
 
2.2%
6 36
 
1.6%
7 40
 
1.8%
8 26
 
1.2%
9 26
 
1.2%
ValueCountFrequency (%)
59088 1
< 0.1%
13664 1
< 0.1%
9858 1
< 0.1%
9518 1
< 0.1%
8718 1
< 0.1%
7649 1
< 0.1%
7345 1
< 0.1%
6255 1
< 0.1%
5946 1
< 0.1%
5265 1
< 0.1%

2021-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct332
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.19982
Minimum0
Maximum55731
Zeros885
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:47.066010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332
95-th percentile402.45
Maximum55731
Range55731
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1321.9237
Coefficient of variation (CV)10.474846
Kurtosis1416.0264
Mean126.19982
Median Absolute Deviation (MAD)3
Skewness34.804815
Sum281678
Variance1747482.2
MonotonicityNot monotonic
2023-12-12T14:00:47.224364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 885
39.7%
1 119
 
5.3%
2 85
 
3.8%
3 59
 
2.6%
4 44
 
2.0%
5 40
 
1.8%
6 39
 
1.7%
7 31
 
1.4%
9 27
 
1.2%
8 26
 
1.2%
Other values (322) 877
39.3%
ValueCountFrequency (%)
0 885
39.7%
1 119
 
5.3%
2 85
 
3.8%
3 59
 
2.6%
4 44
 
2.0%
5 40
 
1.8%
6 39
 
1.7%
7 31
 
1.4%
8 26
 
1.2%
9 27
 
1.2%
ValueCountFrequency (%)
55731 1
< 0.1%
14655 1
< 0.1%
11057 1
< 0.1%
10247 1
< 0.1%
8928 1
< 0.1%
6777 1
< 0.1%
6203 1
< 0.1%
6035 1
< 0.1%
5440 1
< 0.1%
4944 1
< 0.1%

2021-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct317
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.92115
Minimum0
Maximum42839
Zeros904
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:47.410109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q332
95-th percentile313.6
Maximum42839
Range42839
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1060.2173
Coefficient of variation (CV)9.6452535
Kurtosis1212.3509
Mean109.92115
Median Absolute Deviation (MAD)3
Skewness31.79696
Sum245344
Variance1124060.8
MonotonicityNot monotonic
2023-12-12T14:00:47.589729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 904
40.5%
1 122
 
5.5%
2 75
 
3.4%
4 60
 
2.7%
3 58
 
2.6%
5 53
 
2.4%
6 37
 
1.7%
8 31
 
1.4%
10 28
 
1.3%
7 28
 
1.3%
Other values (307) 836
37.5%
ValueCountFrequency (%)
0 904
40.5%
1 122
 
5.5%
2 75
 
3.4%
3 58
 
2.6%
4 60
 
2.7%
5 53
 
2.4%
6 37
 
1.7%
7 28
 
1.3%
8 31
 
1.4%
9 24
 
1.1%
ValueCountFrequency (%)
42839 1
< 0.1%
16294 1
< 0.1%
8277 1
< 0.1%
7846 1
< 0.1%
7814 1
< 0.1%
5762 1
< 0.1%
4873 1
< 0.1%
4687 1
< 0.1%
4314 1
< 0.1%
4236 1
< 0.1%

2021-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct316
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.54794
Minimum0
Maximum45588
Zeros897
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:47.746380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile333.25
Maximum45588
Range45588
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1101.6618
Coefficient of variation (CV)9.9654663
Kurtosis1318.1927
Mean110.54794
Median Absolute Deviation (MAD)3
Skewness33.289465
Sum246743
Variance1213658.6
MonotonicityNot monotonic
2023-12-12T14:00:47.936067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 897
40.2%
1 105
 
4.7%
2 79
 
3.5%
3 67
 
3.0%
5 54
 
2.4%
4 47
 
2.1%
6 35
 
1.6%
8 32
 
1.4%
10 31
 
1.4%
7 30
 
1.3%
Other values (306) 855
38.3%
ValueCountFrequency (%)
0 897
40.2%
1 105
 
4.7%
2 79
 
3.5%
3 67
 
3.0%
4 47
 
2.1%
5 54
 
2.4%
6 35
 
1.6%
7 30
 
1.3%
8 32
 
1.4%
9 27
 
1.2%
ValueCountFrequency (%)
45588 1
< 0.1%
13347 1
< 0.1%
9925 1
< 0.1%
8624 1
< 0.1%
8148 1
< 0.1%
5805 1
< 0.1%
4719 1
< 0.1%
4583 1
< 0.1%
4003 1
< 0.1%
4002 1
< 0.1%

2021-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct305
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.761649
Minimum0
Maximum38797
Zeros922
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:48.128879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile281.45
Maximum38797
Range38797
Interquartile range (IQR)28

Descriptive statistics

Standard deviation951.83937
Coefficient of variation (CV)9.7363269
Kurtosis1247.256
Mean97.761649
Median Absolute Deviation (MAD)3
Skewness32.257974
Sum218204
Variance905998.19
MonotonicityNot monotonic
2023-12-12T14:00:48.365519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 922
41.3%
1 117
 
5.2%
3 79
 
3.5%
2 76
 
3.4%
4 47
 
2.1%
5 45
 
2.0%
7 32
 
1.4%
9 32
 
1.4%
6 30
 
1.3%
8 29
 
1.3%
Other values (295) 823
36.9%
ValueCountFrequency (%)
0 922
41.3%
1 117
 
5.2%
2 76
 
3.4%
3 79
 
3.5%
4 47
 
2.1%
5 45
 
2.0%
6 30
 
1.3%
7 32
 
1.4%
8 29
 
1.3%
9 32
 
1.4%
ValueCountFrequency (%)
38797 1
< 0.1%
12995 1
< 0.1%
8621 1
< 0.1%
8045 1
< 0.1%
6070 1
< 0.1%
5516 1
< 0.1%
4434 1
< 0.1%
4374 1
< 0.1%
4175 1
< 0.1%
3667 1
< 0.1%

2021-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct293
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.823029
Minimum0
Maximum37712
Zeros928
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:48.561702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile270
Maximum37712
Range37712
Interquartile range (IQR)25

Descriptive statistics

Standard deviation934.02982
Coefficient of variation (CV)9.9552298
Kurtosis1211.5756
Mean93.823029
Median Absolute Deviation (MAD)2
Skewness31.896549
Sum209413
Variance872411.7
MonotonicityNot monotonic
2023-12-12T14:00:48.752710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 928
41.6%
1 117
 
5.2%
2 88
 
3.9%
3 72
 
3.2%
5 46
 
2.1%
4 45
 
2.0%
7 38
 
1.7%
10 32
 
1.4%
6 29
 
1.3%
15 25
 
1.1%
Other values (283) 812
36.4%
ValueCountFrequency (%)
0 928
41.6%
1 117
 
5.2%
2 88
 
3.9%
3 72
 
3.2%
4 45
 
2.0%
5 46
 
2.1%
6 29
 
1.3%
7 38
 
1.7%
8 24
 
1.1%
9 22
 
1.0%
ValueCountFrequency (%)
37712 1
< 0.1%
14360 1
< 0.1%
9289 1
< 0.1%
7265 1
< 0.1%
6389 1
< 0.1%
5084 1
< 0.1%
4373 1
< 0.1%
3470 1
< 0.1%
3168 1
< 0.1%
3134 1
< 0.1%

2021-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct277
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.026882
Minimum0
Maximum35251
Zeros973
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:48.970239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile260
Maximum35251
Range35251
Interquartile range (IQR)24

Descriptive statistics

Standard deviation857.80714
Coefficient of variation (CV)9.9713848
Kurtosis1287.9206
Mean86.026882
Median Absolute Deviation (MAD)2
Skewness32.922772
Sum192012
Variance735833.09
MonotonicityNot monotonic
2023-12-12T14:00:49.195726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 973
43.6%
1 128
 
5.7%
2 77
 
3.4%
3 50
 
2.2%
5 46
 
2.1%
4 43
 
1.9%
7 38
 
1.7%
10 30
 
1.3%
6 29
 
1.3%
8 28
 
1.3%
Other values (267) 790
35.4%
ValueCountFrequency (%)
0 973
43.6%
1 128
 
5.7%
2 77
 
3.4%
3 50
 
2.2%
4 43
 
1.9%
5 46
 
2.1%
6 29
 
1.3%
7 38
 
1.7%
8 28
 
1.3%
9 27
 
1.2%
ValueCountFrequency (%)
35251 1
< 0.1%
11861 1
< 0.1%
7296 1
< 0.1%
6863 1
< 0.1%
5127 1
< 0.1%
4596 1
< 0.1%
4541 1
< 0.1%
4028 1
< 0.1%
3449 1
< 0.1%
2839 1
< 0.1%

2021-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct276
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.74552
Minimum0
Maximum36123
Zeros954
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:49.360915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile235.45
Maximum36123
Range36123
Interquartile range (IQR)23

Descriptive statistics

Standard deviation876.33836
Coefficient of variation (CV)10.340822
Kurtosis1302.5844
Mean84.74552
Median Absolute Deviation (MAD)2
Skewness33.16584
Sum189152
Variance767968.92
MonotonicityNot monotonic
2023-12-12T14:00:49.534128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 954
42.7%
1 130
 
5.8%
2 77
 
3.4%
3 64
 
2.9%
4 62
 
2.8%
5 49
 
2.2%
6 40
 
1.8%
8 27
 
1.2%
12 26
 
1.2%
7 26
 
1.2%
Other values (266) 777
34.8%
ValueCountFrequency (%)
0 954
42.7%
1 130
 
5.8%
2 77
 
3.4%
3 64
 
2.9%
4 62
 
2.8%
5 49
 
2.2%
6 40
 
1.8%
7 26
 
1.2%
8 27
 
1.2%
9 23
 
1.0%
ValueCountFrequency (%)
36123 1
< 0.1%
11530 1
< 0.1%
8319 1
< 0.1%
6868 1
< 0.1%
6124 1
< 0.1%
4836 1
< 0.1%
4295 1
< 0.1%
3466 1
< 0.1%
3319 1
< 0.1%
3125 1
< 0.1%

2021-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct308
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.866487
Minimum0
Maximum41172
Zeros930
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:49.743955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q328
95-th percentile318.45
Maximum41172
Range41172
Interquartile range (IQR)28

Descriptive statistics

Standard deviation989.9512
Coefficient of variation (CV)10.115324
Kurtosis1347.0268
Mean97.866487
Median Absolute Deviation (MAD)2
Skewness33.813534
Sum218438
Variance980003.38
MonotonicityNot monotonic
2023-12-12T14:00:49.918773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 930
41.7%
1 122
 
5.5%
2 92
 
4.1%
3 57
 
2.6%
4 49
 
2.2%
5 39
 
1.7%
6 33
 
1.5%
8 32
 
1.4%
7 31
 
1.4%
10 28
 
1.3%
Other values (298) 819
36.7%
ValueCountFrequency (%)
0 930
41.7%
1 122
 
5.5%
2 92
 
4.1%
3 57
 
2.6%
4 49
 
2.2%
5 39
 
1.7%
6 33
 
1.5%
7 31
 
1.4%
8 32
 
1.4%
9 23
 
1.0%
ValueCountFrequency (%)
41172 1
< 0.1%
13215 1
< 0.1%
7036 1
< 0.1%
6522 1
< 0.1%
6316 1
< 0.1%
6131 1
< 0.1%
5684 1
< 0.1%
4794 1
< 0.1%
4323 1
< 0.1%
3377 1
< 0.1%

2021-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct340
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.38396
Minimum0
Maximum56149
Zeros912
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:50.445428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile414.15
Maximum56149
Range56149
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1347.8088
Coefficient of variation (CV)10.337228
Kurtosis1356.2994
Mean130.38396
Median Absolute Deviation (MAD)3
Skewness33.966437
Sum291017
Variance1816588.5
MonotonicityNot monotonic
2023-12-12T14:00:50.617845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 912
40.9%
1 120
 
5.4%
2 61
 
2.7%
3 56
 
2.5%
5 47
 
2.1%
4 43
 
1.9%
7 39
 
1.7%
8 37
 
1.7%
6 36
 
1.6%
10 30
 
1.3%
Other values (330) 851
38.1%
ValueCountFrequency (%)
0 912
40.9%
1 120
 
5.4%
2 61
 
2.7%
3 56
 
2.5%
4 43
 
1.9%
5 47
 
2.1%
6 36
 
1.6%
7 39
 
1.7%
8 37
 
1.7%
9 28
 
1.3%
ValueCountFrequency (%)
56149 1
< 0.1%
17966 1
< 0.1%
11019 1
< 0.1%
9033 1
< 0.1%
7990 1
< 0.1%
7192 1
< 0.1%
5993 1
< 0.1%
5942 1
< 0.1%
5502 1
< 0.1%
5103 1
< 0.1%

2022-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct285
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.978495
Minimum0
Maximum36276
Zeros978
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:50.803658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile251.8
Maximum36276
Range36276
Interquartile range (IQR)20

Descriptive statistics

Standard deviation883.22765
Coefficient of variation (CV)10.154552
Kurtosis1289.7421
Mean86.978495
Median Absolute Deviation (MAD)2
Skewness33.029043
Sum194136
Variance780091.08
MonotonicityNot monotonic
2023-12-12T14:00:51.011774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 978
43.8%
1 133
 
6.0%
2 97
 
4.3%
3 61
 
2.7%
5 41
 
1.8%
7 39
 
1.7%
4 38
 
1.7%
6 37
 
1.7%
12 37
 
1.7%
10 35
 
1.6%
Other values (275) 736
33.0%
ValueCountFrequency (%)
0 978
43.8%
1 133
 
6.0%
2 97
 
4.3%
3 61
 
2.7%
4 38
 
1.7%
5 41
 
1.8%
6 37
 
1.7%
7 39
 
1.7%
8 28
 
1.3%
9 25
 
1.1%
ValueCountFrequency (%)
36276 1
< 0.1%
13193 1
< 0.1%
7123 1
< 0.1%
6136 1
< 0.1%
4821 1
< 0.1%
4776 1
< 0.1%
4081 1
< 0.1%
3947 1
< 0.1%
3358 1
< 0.1%
3130 2
0.1%

2022-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct276
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.494624
Minimum0
Maximum40184
Zeros1001
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:51.210099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q317.25
95-th percentile259.8
Maximum40184
Range40184
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation943.47019
Coefficient of variation (CV)11.035433
Kurtosis1473.1978
Mean85.494624
Median Absolute Deviation (MAD)1
Skewness35.66328
Sum190824
Variance890135.99
MonotonicityNot monotonic
2023-12-12T14:00:51.408222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1001
44.8%
1 142
 
6.4%
2 79
 
3.5%
3 73
 
3.3%
4 47
 
2.1%
5 46
 
2.1%
7 35
 
1.6%
6 35
 
1.6%
9 33
 
1.5%
8 27
 
1.2%
Other values (266) 714
32.0%
ValueCountFrequency (%)
0 1001
44.8%
1 142
 
6.4%
2 79
 
3.5%
3 73
 
3.3%
4 47
 
2.1%
5 46
 
2.1%
6 35
 
1.6%
7 35
 
1.6%
8 27
 
1.2%
9 33
 
1.5%
ValueCountFrequency (%)
40184 1
< 0.1%
9667 1
< 0.1%
8363 1
< 0.1%
6013 1
< 0.1%
5789 1
< 0.1%
5196 1
< 0.1%
4667 1
< 0.1%
4105 1
< 0.1%
3145 1
< 0.1%
3139 1
< 0.1%

2022-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct294
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.762545
Minimum0
Maximum47157
Zeros958
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:51.547964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile300
Maximum47157
Range47157
Interquartile range (IQR)21

Descriptive statistics

Standard deviation1110.6317
Coefficient of variation (CV)11.132752
Kurtosis1456.8392
Mean99.762545
Median Absolute Deviation (MAD)2
Skewness35.460528
Sum222670
Variance1233502.7
MonotonicityNot monotonic
2023-12-12T14:00:51.719487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 958
42.9%
1 144
 
6.5%
2 89
 
4.0%
3 52
 
2.3%
4 49
 
2.2%
7 41
 
1.8%
6 41
 
1.8%
5 39
 
1.7%
16 30
 
1.3%
8 30
 
1.3%
Other values (284) 759
34.0%
ValueCountFrequency (%)
0 958
42.9%
1 144
 
6.5%
2 89
 
4.0%
3 52
 
2.3%
4 49
 
2.2%
5 39
 
1.7%
6 41
 
1.8%
7 41
 
1.8%
8 30
 
1.3%
9 26
 
1.2%
ValueCountFrequency (%)
47157 1
< 0.1%
11329 1
< 0.1%
11238 1
< 0.1%
7837 1
< 0.1%
5785 1
< 0.1%
5574 1
< 0.1%
5147 1
< 0.1%
4715 1
< 0.1%
4336 1
< 0.1%
3497 1
< 0.1%

2022-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct298
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.157706
Minimum0
Maximum37365
Zeros984
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:51.886491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile295.45
Maximum37365
Range37365
Interquartile range (IQR)22

Descriptive statistics

Standard deviation899.83501
Coefficient of variation (CV)10.207105
Kurtosis1339.4552
Mean88.157706
Median Absolute Deviation (MAD)2
Skewness33.72039
Sum196768
Variance809703.04
MonotonicityNot monotonic
2023-12-12T14:00:52.063543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 984
44.1%
1 127
 
5.7%
2 75
 
3.4%
3 71
 
3.2%
4 50
 
2.2%
7 43
 
1.9%
5 38
 
1.7%
6 37
 
1.7%
8 28
 
1.3%
12 23
 
1.0%
Other values (288) 756
33.9%
ValueCountFrequency (%)
0 984
44.1%
1 127
 
5.7%
2 75
 
3.4%
3 71
 
3.2%
4 50
 
2.2%
5 38
 
1.7%
6 37
 
1.7%
7 43
 
1.9%
8 28
 
1.3%
9 22
 
1.0%
ValueCountFrequency (%)
37365 1
< 0.1%
11910 1
< 0.1%
8069 1
< 0.1%
5985 1
< 0.1%
5622 1
< 0.1%
5465 1
< 0.1%
3993 1
< 0.1%
3961 1
< 0.1%
3426 1
< 0.1%
2950 1
< 0.1%

2022-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct283
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.415771
Minimum0
Maximum40481
Zeros953
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:52.258204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile274.45
Maximum40481
Range40481
Interquartile range (IQR)22

Descriptive statistics

Standard deviation970.43144
Coefficient of variation (CV)10.388304
Kurtosis1360.0812
Mean93.415771
Median Absolute Deviation (MAD)2
Skewness33.96136
Sum208504
Variance941737.19
MonotonicityNot monotonic
2023-12-12T14:00:52.418218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 953
42.7%
1 155
 
6.9%
2 60
 
2.7%
3 60
 
2.7%
4 56
 
2.5%
5 45
 
2.0%
7 36
 
1.6%
8 35
 
1.6%
6 34
 
1.5%
12 26
 
1.2%
Other values (273) 772
34.6%
ValueCountFrequency (%)
0 953
42.7%
1 155
 
6.9%
2 60
 
2.7%
3 60
 
2.7%
4 56
 
2.5%
5 45
 
2.0%
6 34
 
1.5%
7 36
 
1.6%
8 35
 
1.6%
9 22
 
1.0%
ValueCountFrequency (%)
40481 1
< 0.1%
10648 1
< 0.1%
10382 1
< 0.1%
6424 1
< 0.1%
6392 1
< 0.1%
6062 1
< 0.1%
4306 1
< 0.1%
3746 1
< 0.1%
3537 1
< 0.1%
3263 1
< 0.1%

2022-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct285
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.022401
Minimum0
Maximum39009
Zeros954
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:52.565997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile261.45
Maximum39009
Range39009
Interquartile range (IQR)20

Descriptive statistics

Standard deviation951.77569
Coefficient of variation (CV)10.01633
Kurtosis1267.7708
Mean95.022401
Median Absolute Deviation (MAD)2
Skewness32.393322
Sum212090
Variance905876.97
MonotonicityNot monotonic
2023-12-12T14:00:52.716719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 954
42.7%
1 141
 
6.3%
2 93
 
4.2%
3 70
 
3.1%
5 50
 
2.2%
6 46
 
2.1%
4 36
 
1.6%
10 32
 
1.4%
11 30
 
1.3%
7 30
 
1.3%
Other values (275) 750
33.6%
ValueCountFrequency (%)
0 954
42.7%
1 141
 
6.3%
2 93
 
4.2%
3 70
 
3.1%
4 36
 
1.6%
5 50
 
2.2%
6 46
 
2.1%
7 30
 
1.3%
8 22
 
1.0%
9 23
 
1.0%
ValueCountFrequency (%)
39009 1
< 0.1%
11117 1
< 0.1%
7633 1
< 0.1%
7507 1
< 0.1%
7124 1
< 0.1%
6425 1
< 0.1%
5160 1
< 0.1%
4381 1
< 0.1%
4209 1
< 0.1%
3965 1
< 0.1%

2022-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct270
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.969086
Minimum0
Maximum32888
Zeros1010
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T14:00:52.889465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile232.45
Maximum32888
Range32888
Interquartile range (IQR)16

Descriptive statistics

Standard deviation792.73222
Coefficient of variation (CV)10.434932
Kurtosis1336.5018
Mean75.969086
Median Absolute Deviation (MAD)1
Skewness33.683168
Sum169563
Variance628424.37
MonotonicityNot monotonic
2023-12-12T14:00:53.049769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1010
45.3%
1 156
 
7.0%
2 82
 
3.7%
3 59
 
2.6%
4 52
 
2.3%
5 42
 
1.9%
6 40
 
1.8%
7 37
 
1.7%
10 34
 
1.5%
8 31
 
1.4%
Other values (260) 689
30.9%
ValueCountFrequency (%)
0 1010
45.3%
1 156
 
7.0%
2 82
 
3.7%
3 59
 
2.6%
4 52
 
2.3%
5 42
 
1.9%
6 40
 
1.8%
7 37
 
1.7%
8 31
 
1.4%
9 19
 
0.9%
ValueCountFrequency (%)
32888 1
< 0.1%
11048 1
< 0.1%
5920 1
< 0.1%
4937 1
< 0.1%
4663 1
< 0.1%
4460 1
< 0.1%
4232 1
< 0.1%
3777 1
< 0.1%
3717 1
< 0.1%
2921 1
< 0.1%

Sample

지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
0전국/도시지역_주거지역515541024764528052295070616658025029662772258666743586898294194277297986297816667695371398653103687239715087188928827786248045726568636868631671924776410551475465639251604232
1전국/도시지역_상업지역5287516117466677186977495809562561900877989926723673105611168688511024982117110458371052132911711608118696394510371330100389391310809941022879616
2전국/도시지역_공업지역1746197217672057342533711667162425501609205423481367211124191744262527171866165021461948214131483720193626032412287428163012232328391832337739263130244326972174267819472123
3전국/도시지역_녹지지역121778371114611053412772836511163840669809687929311443100141566311677118521042512841111541024111864972812402161841147611853136641465516294133471299514360118611153013215179661319396671132911910103821111711048
4전국/도시지역_개발제한구역6666323633863561367523672584266324263589282929202991288730102531301333024148214322622300309934073323319637392964258927953079239316461959244337502555264422622428219222101691
5전국/도시지역_용도미지정504102743666729172940742919947558310381002328576103749850956744057751451661590688889125842578124265010079284347907835633613543887801428428
6전국/농림지역42414375834778850231467744001036326342993184732946381884708332454455845103340209441734882339991341654032335595445085215135391412685908855731428394558838797377123525136123411725614936276401844715737365404813900932888
7전국/자연환경보전지역2543204124246462478324101434191912951805170725301321146423942430334323351616133821671769196517251727148652352911301835992911171714131591196832141447138923072950374671241949
8서울/도시지역_주거지역409295366405503907725698641757844106491511678695065669841204786612575577830605676817724794660683576537460463601360304376464566381359
9서울/도시지역_상업지역644268739059756383877714113280801235783871121035976935987999415099838558565660713453138715746
지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
2222제주 제주시/농림지역00000000000000000001200000001001000000070007
2223제주 제주시/자연환경보전지역324021015316003425223331713001116001052260102620311991
2224제주 서귀포시/도시지역_주거지역34361932271418381123292219192113162627182520222527303232374136393125382723163241353116
2225제주 서귀포시/도시지역_상업지역3421314041110122112322167234522252442142132
2226제주 서귀포시/도시지역_공업지역0000010000000202000002020100000001030101000
2227제주 서귀포시/도시지역_녹지지역202164155169200127145209115128170196141136180185193136184211143166168250238282334252237222228168137148314270230132319257204209155
2228제주 서귀포시/도시지역_개발제한구역0000000000000000000000000000000000000000000
2229제주 서귀포시/도시지역_용도미지정0000000000000000000000000000000000000000000
2230제주 서귀포시/농림지역00000000000000140300000000000001000000000000
2231제주 서귀포시/자연환경보전지역0000000000000000100000000000000300000400000

Duplicate rows

Most frequently occurring

지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07# duplicates
0경기 고양시/자연환경보전지역00000000000000000000000000000000000000000002