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(필지수) 데이터입니다. -(단위 : 필지수) - 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068099/fileData.do

Alerts

2019-01 is highly skewed (γ1 = 41.16831499)Skewed
2019-02 is highly skewed (γ1 = 41.64797412)Skewed
2019-03 is highly skewed (γ1 = 41.40400454)Skewed
2019-04 is highly skewed (γ1 = 41.57753387)Skewed
2019-05 is highly skewed (γ1 = 41.27057048)Skewed
2019-06 is highly skewed (γ1 = 41.53922466)Skewed
2019-07 is highly skewed (γ1 = 41.56539202)Skewed
2019-08 is highly skewed (γ1 = 41.41776977)Skewed
2019-09 is highly skewed (γ1 = 41.37096438)Skewed
2019-10 is highly skewed (γ1 = 41.80315884)Skewed
2019-11 is highly skewed (γ1 = 41.60238159)Skewed
2019-12 is highly skewed (γ1 = 41.47748144)Skewed
2020-01 is highly skewed (γ1 = 41.52873357)Skewed
2020-02 is highly skewed (γ1 = 40.9156416)Skewed
2020-03 is highly skewed (γ1 = 40.66001701)Skewed
2020-04 is highly skewed (γ1 = 41.13264073)Skewed
2020-05 is highly skewed (γ1 = 41.42518431)Skewed
2020-06 is highly skewed (γ1 = 41.012664)Skewed
2020-07 is highly skewed (γ1 = 41.06599523)Skewed
2020-08 is highly skewed (γ1 = 41.52095397)Skewed
2020-09 is highly skewed (γ1 = 41.6830703)Skewed
2020-10 is highly skewed (γ1 = 42.08995225)Skewed
2020-11 is highly skewed (γ1 = 42.49238612)Skewed
2020-12 is highly skewed (γ1 = 42.07076266)Skewed
2021-01 is highly skewed (γ1 = 41.65868475)Skewed
2021-02 is highly skewed (γ1 = 41.56099182)Skewed
2021-03 is highly skewed (γ1 = 41.81945112)Skewed
2021-04 is highly skewed (γ1 = 41.87682026)Skewed
2021-05 is highly skewed (γ1 = 41.61455216)Skewed
2021-06 is highly skewed (γ1 = 41.39251683)Skewed
2021-07 is highly skewed (γ1 = 41.24399081)Skewed
2021-08 is highly skewed (γ1 = 41.17525712)Skewed
2021-09 is highly skewed (γ1 = 41.00986116)Skewed
2021-10 is highly skewed (γ1 = 41.19281659)Skewed
2021-11 is highly skewed (γ1 = 40.94594613)Skewed
2021-12 is highly skewed (γ1 = 40.61057496)Skewed
2022-01 is highly skewed (γ1 = 40.87050172)Skewed
2022-02 is highly skewed (γ1 = 41.3582148)Skewed
2022-03 is highly skewed (γ1 = 41.44802206)Skewed
2022-04 is highly skewed (γ1 = 41.09441186)Skewed
2022-05 is highly skewed (γ1 = 40.71412158)Skewed
2022-06 is highly skewed (γ1 = 41.12732415)Skewed
2022-07 is highly skewed (γ1 = 40.71396473)Skewed
지역 및 거래주체 has unique valuesUnique
2019-01 has 696 (27.7%) zerosZeros
2019-02 has 772 (30.7%) zerosZeros
2019-03 has 700 (27.9%) zerosZeros
2019-04 has 610 (24.3%) zerosZeros
2019-05 has 659 (26.2%) zerosZeros
2019-06 has 670 (26.7%) zerosZeros
2019-07 has 658 (26.2%) zerosZeros
2019-08 has 668 (26.6%) zerosZeros
2019-09 has 714 (28.4%) zerosZeros
2019-10 has 681 (27.1%) zerosZeros
2019-11 has 685 (27.3%) zerosZeros
2019-12 has 572 (22.8%) zerosZeros
2020-01 has 637 (25.4%) zerosZeros
2020-02 has 687 (27.4%) zerosZeros
2020-03 has 627 (25.0%) zerosZeros
2020-04 has 671 (26.7%) zerosZeros
2020-05 has 645 (25.7%) zerosZeros
2020-06 has 597 (23.8%) zerosZeros
2020-07 has 591 (23.5%) zerosZeros
2020-08 has 669 (26.6%) zerosZeros
2020-09 has 656 (26.1%) zerosZeros
2020-10 has 664 (26.4%) zerosZeros
2020-11 has 623 (24.8%) zerosZeros
2020-12 has 495 (19.7%) zerosZeros
2021-01 has 605 (24.1%) zerosZeros
2021-02 has 652 (26.0%) zerosZeros
2021-03 has 548 (21.8%) zerosZeros
2021-04 has 579 (23.1%) zerosZeros
2021-05 has 598 (23.8%) zerosZeros
2021-06 has 558 (22.2%) zerosZeros
2021-07 has 605 (24.1%) zerosZeros
2021-08 has 655 (26.1%) zerosZeros
2021-09 has 680 (27.1%) zerosZeros
2021-10 has 646 (25.7%) zerosZeros
2021-11 has 593 (23.6%) zerosZeros
2021-12 has 492 (19.6%) zerosZeros
2022-01 has 601 (23.9%) zerosZeros
2022-02 has 684 (27.2%) zerosZeros
2022-03 has 617 (24.6%) zerosZeros
2022-04 has 645 (25.7%) zerosZeros
2022-05 has 585 (23.3%) zerosZeros
2022-06 has 613 (24.4%) zerosZeros
2022-07 has 682 (27.2%) zerosZeros

Reproduction

Analysis started2023-12-12 21:56:02.279213
Analysis finished2023-12-12 21:56:02.849693
Duration0.57 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
2023-12-13T06:56:03.058992image/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%
2023-12-13T06:56:03.514541image/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 

Distinct394
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.42453
Minimum0
Maximum91176
Zeros696
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:03.687001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q331
95-th percentile443
Maximum91176
Range91176
Interquartile range (IQR)31

Descriptive statistics

Standard deviation1954.2499
Coefficient of variation (CV)12.573625
Kurtosis1883.9727
Mean155.42453
Median Absolute Deviation (MAD)5
Skewness41.168315
Sum390271
Variance3819092.5
MonotonicityNot monotonic
2023-12-13T06:56:03.872310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 696
27.7%
1 197
 
7.8%
2 140
 
5.6%
3 106
 
4.2%
4 89
 
3.5%
5 77
 
3.1%
6 54
 
2.2%
8 43
 
1.7%
10 41
 
1.6%
7 39
 
1.6%
Other values (384) 1029
41.0%
ValueCountFrequency (%)
0 696
27.7%
1 197
 
7.8%
2 140
 
5.6%
3 106
 
4.2%
4 89
 
3.5%
5 77
 
3.1%
6 54
 
2.2%
7 39
 
1.6%
8 43
 
1.7%
9 32
 
1.3%
ValueCountFrequency (%)
91176 1
< 0.1%
21145 1
< 0.1%
15979 1
< 0.1%
9074 1
< 0.1%
7969 1
< 0.1%
7416 1
< 0.1%
6774 1
< 0.1%
6514 1
< 0.1%
6424 1
< 0.1%
6367 1
< 0.1%

2019-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct360
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12107
Minimum0
Maximum76229
Zeros772
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:04.069509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile373
Maximum76229
Range76229
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1626.3076
Coefficient of variation (CV)12.793376
Kurtosis1918.4654
Mean127.12107
Median Absolute Deviation (MAD)3
Skewness41.647974
Sum319201
Variance2644876.4
MonotonicityNot monotonic
2023-12-13T06:56:04.243344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 772
30.7%
1 221
 
8.8%
2 150
 
6.0%
3 116
 
4.6%
4 61
 
2.4%
5 60
 
2.4%
6 47
 
1.9%
8 46
 
1.8%
7 42
 
1.7%
12 39
 
1.6%
Other values (350) 957
38.1%
ValueCountFrequency (%)
0 772
30.7%
1 221
 
8.8%
2 150
 
6.0%
3 116
 
4.6%
4 61
 
2.4%
5 60
 
2.4%
6 47
 
1.9%
7 42
 
1.7%
8 46
 
1.8%
9 37
 
1.5%
ValueCountFrequency (%)
76229 1
< 0.1%
17184 1
< 0.1%
12167 1
< 0.1%
7083 1
< 0.1%
6705 1
< 0.1%
6193 1
< 0.1%
5587 1
< 0.1%
5565 1
< 0.1%
5473 1
< 0.1%
5129 1
< 0.1%

2019-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct402
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.78813
Minimum0
Maximum94218
Zeros700
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:04.411273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q335
95-th percentile467
Maximum94218
Range94218
Interquartile range (IQR)35

Descriptive statistics

Standard deviation2014.5087
Coefficient of variation (CV)12.607373
Kurtosis1901.749
Mean159.78813
Median Absolute Deviation (MAD)6
Skewness41.404005
Sum401228
Variance4058245.1
MonotonicityNot monotonic
2023-12-13T06:56:04.571330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 700
27.9%
1 198
 
7.9%
2 133
 
5.3%
3 89
 
3.5%
4 68
 
2.7%
5 60
 
2.4%
7 58
 
2.3%
8 50
 
2.0%
11 49
 
2.0%
9 46
 
1.8%
Other values (392) 1060
42.2%
ValueCountFrequency (%)
0 700
27.9%
1 198
 
7.9%
2 133
 
5.3%
3 89
 
3.5%
4 68
 
2.7%
5 60
 
2.4%
6 30
 
1.2%
7 58
 
2.3%
8 50
 
2.0%
9 46
 
1.8%
ValueCountFrequency (%)
94218 1
< 0.1%
21456 1
< 0.1%
14974 1
< 0.1%
9497 1
< 0.1%
9047 1
< 0.1%
7480 1
< 0.1%
7095 1
< 0.1%
7093 1
< 0.1%
6563 1
< 0.1%
6400 1
< 0.1%

2019-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct405
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.72202
Minimum0
Maximum99722
Zeros610
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:04.742301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q335.5
95-th percentile507.5
Maximum99722
Range99722
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation2129.026
Coefficient of variation (CV)12.693777
Kurtosis1913.1796
Mean167.72202
Median Absolute Deviation (MAD)6
Skewness41.577534
Sum421150
Variance4532751.7
MonotonicityNot monotonic
2023-12-13T06:56:04.916922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 610
24.3%
1 232
 
9.2%
2 153
 
6.1%
3 99
 
3.9%
4 82
 
3.3%
5 66
 
2.6%
6 51
 
2.0%
8 47
 
1.9%
7 46
 
1.8%
9 43
 
1.7%
Other values (395) 1082
43.1%
ValueCountFrequency (%)
0 610
24.3%
1 232
 
9.2%
2 153
 
6.1%
3 99
 
3.9%
4 82
 
3.3%
5 66
 
2.6%
6 51
 
2.0%
7 46
 
1.8%
8 47
 
1.9%
9 43
 
1.7%
ValueCountFrequency (%)
99722 1
< 0.1%
22784 1
< 0.1%
15839 1
< 0.1%
9503 1
< 0.1%
8555 1
< 0.1%
7708 1
< 0.1%
7653 1
< 0.1%
7623 1
< 0.1%
7490 1
< 0.1%
6350 1
< 0.1%

2019-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct408
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.77499
Minimum0
Maximum95962
Zeros659
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:05.069827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q338
95-th percentile463.5
Maximum95962
Range95962
Interquartile range (IQR)38

Descriptive statistics

Standard deviation2054.7217
Coefficient of variation (CV)12.546004
Kurtosis1891.4951
Mean163.77499
Median Absolute Deviation (MAD)6
Skewness41.27057
Sum411239
Variance4221881.3
MonotonicityNot monotonic
2023-12-13T06:56:05.217758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 659
26.2%
1 208
 
8.3%
2 121
 
4.8%
4 86
 
3.4%
3 85
 
3.4%
5 73
 
2.9%
6 59
 
2.3%
7 50
 
2.0%
8 39
 
1.6%
11 38
 
1.5%
Other values (398) 1093
43.5%
ValueCountFrequency (%)
0 659
26.2%
1 208
 
8.3%
2 121
 
4.8%
3 85
 
3.4%
4 86
 
3.4%
5 73
 
2.9%
6 59
 
2.3%
7 50
 
2.0%
8 39
 
1.6%
9 37
 
1.5%
ValueCountFrequency (%)
95962 1
< 0.1%
22573 1
< 0.1%
14926 1
< 0.1%
10861 1
< 0.1%
8414 1
< 0.1%
7710 1
< 0.1%
7238 1
< 0.1%
6968 1
< 0.1%
6736 1
< 0.1%
6612 1
< 0.1%

2019-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct395
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.44405
Minimum0
Maximum87305
Zeros670
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:05.369249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q333
95-th percentile434
Maximum87305
Range87305
Interquartile range (IQR)33

Descriptive statistics

Standard deviation1865.5101
Coefficient of variation (CV)12.738723
Kurtosis1907.9745
Mean146.44405
Median Absolute Deviation (MAD)5
Skewness41.539225
Sum367721
Variance3480127.9
MonotonicityNot monotonic
2023-12-13T06:56:05.509140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 670
26.7%
1 190
 
7.6%
2 139
 
5.5%
3 103
 
4.1%
4 91
 
3.6%
5 67
 
2.7%
7 61
 
2.4%
6 58
 
2.3%
8 49
 
2.0%
12 39
 
1.6%
Other values (385) 1044
41.6%
ValueCountFrequency (%)
0 670
26.7%
1 190
 
7.6%
2 139
 
5.5%
3 103
 
4.1%
4 91
 
3.6%
5 67
 
2.7%
6 58
 
2.3%
7 61
 
2.4%
8 49
 
2.0%
9 36
 
1.4%
ValueCountFrequency (%)
87305 1
< 0.1%
21428 1
< 0.1%
11764 1
< 0.1%
9646 1
< 0.1%
8936 1
< 0.1%
6337 1
< 0.1%
6132 1
< 0.1%
5919 1
< 0.1%
5734 1
< 0.1%
5648 1
< 0.1%

2019-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct414
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.09558
Minimum0
Maximum104186
Zeros658
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:05.657240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q337.5
95-th percentile533
Maximum104186
Range104186
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation2225.5017
Coefficient of variation (CV)12.783218
Kurtosis1910.161
Mean174.09558
Median Absolute Deviation (MAD)6
Skewness41.565392
Sum437154
Variance4952857.7
MonotonicityNot monotonic
2023-12-13T06:56:05.794852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 658
26.2%
1 190
 
7.6%
2 147
 
5.9%
3 100
 
4.0%
4 77
 
3.1%
5 68
 
2.7%
6 66
 
2.6%
8 44
 
1.8%
9 43
 
1.7%
7 42
 
1.7%
Other values (404) 1076
42.9%
ValueCountFrequency (%)
0 658
26.2%
1 190
 
7.6%
2 147
 
5.9%
3 100
 
4.0%
4 77
 
3.1%
5 68
 
2.7%
6 66
 
2.6%
7 42
 
1.7%
8 44
 
1.8%
9 43
 
1.7%
ValueCountFrequency (%)
104186 1
< 0.1%
25132 1
< 0.1%
13453 1
< 0.1%
13255 1
< 0.1%
11302 1
< 0.1%
7323 1
< 0.1%
6875 1
< 0.1%
6865 1
< 0.1%
6591 1
< 0.1%
6520 1
< 0.1%

2019-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct395
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.82278
Minimum0
Maximum97263
Zeros668
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:05.933296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q335
95-th percentile493
Maximum97263
Range97263
Interquartile range (IQR)35

Descriptive statistics

Standard deviation2081.2317
Coefficient of variation (CV)12.94115
Kurtosis1897.8912
Mean160.82278
Median Absolute Deviation (MAD)5
Skewness41.41777
Sum403826
Variance4331525.6
MonotonicityNot monotonic
2023-12-13T06:56:06.063267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 668
26.6%
1 233
 
9.3%
2 131
 
5.2%
3 102
 
4.1%
4 81
 
3.2%
7 58
 
2.3%
5 52
 
2.1%
6 48
 
1.9%
8 41
 
1.6%
10 35
 
1.4%
Other values (385) 1062
42.3%
ValueCountFrequency (%)
0 668
26.6%
1 233
 
9.3%
2 131
 
5.2%
3 102
 
4.1%
4 81
 
3.2%
5 52
 
2.1%
6 48
 
1.9%
7 58
 
2.3%
8 41
 
1.6%
9 33
 
1.3%
ValueCountFrequency (%)
97263 1
< 0.1%
23888 1
< 0.1%
14115 1
< 0.1%
13376 1
< 0.1%
9738 1
< 0.1%
6179 1
< 0.1%
6113 1
< 0.1%
6016 1
< 0.1%
5919 1
< 0.1%
5812 1
< 0.1%

2019-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct396
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.80327
Minimum0
Maximum90413
Zeros714
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:06.193543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q332.5
95-th percentile471.5
Maximum90413
Range90413
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation1935.751
Coefficient of variation (CV)12.836267
Kurtosis1893.9989
Mean150.80327
Median Absolute Deviation (MAD)5
Skewness41.370964
Sum378667
Variance3747132.1
MonotonicityNot monotonic
2023-12-13T06:56:06.325932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 714
28.4%
1 198
 
7.9%
2 142
 
5.7%
3 120
 
4.8%
4 74
 
2.9%
6 63
 
2.5%
5 56
 
2.2%
7 53
 
2.1%
8 48
 
1.9%
9 39
 
1.6%
Other values (386) 1004
40.0%
ValueCountFrequency (%)
0 714
28.4%
1 198
 
7.9%
2 142
 
5.7%
3 120
 
4.8%
4 74
 
2.9%
5 56
 
2.2%
6 63
 
2.5%
7 53
 
2.1%
8 48
 
1.9%
9 39
 
1.6%
ValueCountFrequency (%)
90413 1
< 0.1%
22762 1
< 0.1%
12583 1
< 0.1%
11784 1
< 0.1%
9900 1
< 0.1%
5768 1
< 0.1%
5541 1
< 0.1%
5440 1
< 0.1%
5400 1
< 0.1%
5379 1
< 0.1%

2019-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct428
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.82676
Minimum0
Maximum116716
Zeros681
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:06.459101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q339
95-th percentile561
Maximum116716
Range116716
Interquartile range (IQR)39

Descriptive statistics

Standard deviation2489.1674
Coefficient of variation (CV)13.182281
Kurtosis1923.7906
Mean188.82676
Median Absolute Deviation (MAD)6
Skewness41.803159
Sum474144
Variance6195954.5
MonotonicityNot monotonic
2023-12-13T06:56:06.598171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 681
27.1%
1 194
 
7.7%
2 143
 
5.7%
3 95
 
3.8%
4 70
 
2.8%
5 69
 
2.7%
8 50
 
2.0%
6 50
 
2.0%
7 42
 
1.7%
9 40
 
1.6%
Other values (418) 1077
42.9%
ValueCountFrequency (%)
0 681
27.1%
1 194
 
7.7%
2 143
 
5.7%
3 95
 
3.8%
4 70
 
2.8%
5 69
 
2.7%
6 50
 
2.0%
7 42
 
1.7%
8 50
 
2.0%
9 40
 
1.6%
ValueCountFrequency (%)
116716 1
< 0.1%
29439 1
< 0.1%
15144 1
< 0.1%
12995 1
< 0.1%
11298 1
< 0.1%
7789 1
< 0.1%
7445 1
< 0.1%
7382 1
< 0.1%
7317 1
< 0.1%
6811 1
< 0.1%

2019-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct428
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.92393
Minimum0
Maximum125598
Zeros685
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:06.755192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q342
95-th percentile620
Maximum125598
Range125598
Interquartile range (IQR)42

Descriptive statistics

Standard deviation2684.4949
Coefficient of variation (CV)13.164197
Kurtosis1907.9322
Mean203.92393
Median Absolute Deviation (MAD)6
Skewness41.602382
Sum512053
Variance7206512.9
MonotonicityNot monotonic
2023-12-13T06:56:07.174970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 685
27.3%
1 192
 
7.6%
2 142
 
5.7%
4 89
 
3.5%
3 80
 
3.2%
5 64
 
2.5%
6 47
 
1.9%
7 43
 
1.7%
8 39
 
1.6%
10 38
 
1.5%
Other values (418) 1092
43.5%
ValueCountFrequency (%)
0 685
27.3%
1 192
 
7.6%
2 142
 
5.7%
3 80
 
3.2%
4 89
 
3.5%
5 64
 
2.5%
6 47
 
1.9%
7 43
 
1.7%
8 39
 
1.6%
9 28
 
1.1%
ValueCountFrequency (%)
125598 1
< 0.1%
32554 1
< 0.1%
17890 1
< 0.1%
13596 1
< 0.1%
12693 1
< 0.1%
7704 1
< 0.1%
7490 1
< 0.1%
7389 1
< 0.1%
7359 1
< 0.1%
7123 1
< 0.1%

2019-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct464
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.67662
Minimum0
Maximum152072
Zeros572
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:07.323794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q351
95-th percentile750.5
Maximum152072
Range152072
Interquartile range (IQR)50

Descriptive statistics

Standard deviation3254.1854
Coefficient of variation (CV)13.0336
Kurtosis1899.1221
Mean249.67662
Median Absolute Deviation (MAD)8
Skewness41.477481
Sum626938
Variance10589722
MonotonicityNot monotonic
2023-12-13T06:56:07.454506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 572
22.8%
1 216
 
8.6%
2 124
 
4.9%
4 93
 
3.7%
3 77
 
3.1%
5 71
 
2.8%
6 54
 
2.2%
7 42
 
1.7%
10 39
 
1.6%
8 38
 
1.5%
Other values (454) 1185
47.2%
ValueCountFrequency (%)
0 572
22.8%
1 216
 
8.6%
2 124
 
4.9%
3 77
 
3.1%
4 93
 
3.7%
5 71
 
2.8%
6 54
 
2.2%
7 42
 
1.7%
8 38
 
1.5%
9 32
 
1.3%
ValueCountFrequency (%)
152072 1
< 0.1%
39750 1
< 0.1%
21982 1
< 0.1%
17064 1
< 0.1%
14409 1
< 0.1%
10145 1
< 0.1%
9323 1
< 0.1%
8933 1
< 0.1%
8654 1
< 0.1%
8531 1
< 0.1%

2020-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct430
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.28992
Minimum0
Maximum134653
Zeros637
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:07.592419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q340.5
95-th percentile658
Maximum134653
Range134653
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation2882.9537
Coefficient of variation (CV)13.391029
Kurtosis1897.8683
Mean215.28992
Median Absolute Deviation (MAD)5
Skewness41.528734
Sum540593
Variance8311422.2
MonotonicityNot monotonic
2023-12-13T06:56:07.771292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 637
25.4%
1 227
 
9.0%
2 148
 
5.9%
3 94
 
3.7%
4 80
 
3.2%
5 74
 
2.9%
7 61
 
2.4%
6 60
 
2.4%
8 44
 
1.8%
10 36
 
1.4%
Other values (420) 1050
41.8%
ValueCountFrequency (%)
0 637
25.4%
1 227
 
9.0%
2 148
 
5.9%
3 94
 
3.7%
4 80
 
3.2%
5 74
 
2.9%
6 60
 
2.4%
7 61
 
2.4%
8 44
 
1.8%
9 30
 
1.2%
ValueCountFrequency (%)
134653 1
< 0.1%
37767 1
< 0.1%
17276 1
< 0.1%
14223 1
< 0.1%
11752 1
< 0.1%
8415 1
< 0.1%
8028 1
< 0.1%
7660 1
< 0.1%
7536 1
< 0.1%
7511 1
< 0.1%

2020-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct448
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.8853
Minimum0
Maximum150285
Zeros687
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:07.912941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q345
95-th percentile711.5
Maximum150285
Range150285
Interquartile range (IQR)45

Descriptive statistics

Standard deviation3241.264
Coefficient of variation (CV)13.400004
Kurtosis1848.2332
Mean241.8853
Median Absolute Deviation (MAD)6
Skewness40.915642
Sum607374
Variance10505792
MonotonicityNot monotonic
2023-12-13T06:56:08.060206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 687
27.4%
1 181
 
7.2%
2 120
 
4.8%
3 103
 
4.1%
4 80
 
3.2%
5 74
 
2.9%
7 53
 
2.1%
6 50
 
2.0%
11 39
 
1.6%
9 37
 
1.5%
Other values (438) 1087
43.3%
ValueCountFrequency (%)
0 687
27.4%
1 181
 
7.2%
2 120
 
4.8%
3 103
 
4.1%
4 80
 
3.2%
5 74
 
2.9%
6 50
 
2.0%
7 53
 
2.1%
8 36
 
1.4%
9 37
 
1.5%
ValueCountFrequency (%)
150285 1
< 0.1%
46424 1
< 0.1%
17374 1
< 0.1%
17207 1
< 0.1%
14378 1
< 0.1%
10736 1
< 0.1%
8509 1
< 0.1%
8369 1
< 0.1%
8213 1
< 0.1%
8182 1
< 0.1%

2020-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct462
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.2266
Minimum0
Maximum144556
Zeros627
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:08.220373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q353
95-th percentile698.5
Maximum144556
Range144556
Interquartile range (IQR)52

Descriptive statistics

Standard deviation3125.0439
Coefficient of variation (CV)13.173244
Kurtosis1830.9216
Mean237.2266
Median Absolute Deviation (MAD)7
Skewness40.660017
Sum595676
Variance9765899.3
MonotonicityNot monotonic
2023-12-13T06:56:08.368711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 627
25.0%
1 183
 
7.3%
2 124
 
4.9%
4 95
 
3.8%
3 91
 
3.6%
5 69
 
2.7%
8 46
 
1.8%
6 45
 
1.8%
7 43
 
1.7%
12 34
 
1.4%
Other values (452) 1154
46.0%
ValueCountFrequency (%)
0 627
25.0%
1 183
 
7.3%
2 124
 
4.9%
3 91
 
3.6%
4 95
 
3.8%
5 69
 
2.7%
6 45
 
1.8%
7 43
 
1.7%
8 46
 
1.8%
9 27
 
1.1%
ValueCountFrequency (%)
144556 1
< 0.1%
44678 1
< 0.1%
18158 1
< 0.1%
16812 1
< 0.1%
14435 1
< 0.1%
12449 1
< 0.1%
8531 1
< 0.1%
8384 1
< 0.1%
8182 1
< 0.1%
6936 1
< 0.1%

2020-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct417
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.37037
Minimum0
Maximum107569
Zeros671
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:08.546295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q345.5
95-th percentile520.5
Maximum107569
Range107569
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation2309.1674
Coefficient of variation (CV)12.661966
Kurtosis1875.5239
Mean182.37037
Median Absolute Deviation (MAD)6
Skewness41.132641
Sum457932
Variance5332254
MonotonicityNot monotonic
2023-12-13T06:56:08.707151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 671
26.7%
1 196
 
7.8%
2 141
 
5.6%
3 80
 
3.2%
4 78
 
3.1%
6 54
 
2.2%
5 49
 
2.0%
7 46
 
1.8%
11 45
 
1.8%
9 37
 
1.5%
Other values (407) 1114
44.4%
ValueCountFrequency (%)
0 671
26.7%
1 196
 
7.8%
2 141
 
5.6%
3 80
 
3.2%
4 78
 
3.1%
5 49
 
2.0%
6 54
 
2.2%
7 46
 
1.8%
8 33
 
1.3%
9 37
 
1.5%
ValueCountFrequency (%)
107569 1
< 0.1%
28793 1
< 0.1%
13701 1
< 0.1%
13459 1
< 0.1%
9266 1
< 0.1%
7924 1
< 0.1%
7755 1
< 0.1%
7286 1
< 0.1%
7165 1
< 0.1%
6804 1
< 0.1%

2020-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct425
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.31382
Minimum0
Maximum115059
Zeros645
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:08.876513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q346
95-th percentile558
Maximum115059
Range115059
Interquartile range (IQR)46

Descriptive statistics

Standard deviation2462.4993
Coefficient of variation (CV)12.804588
Kurtosis1897.3918
Mean192.31382
Median Absolute Deviation (MAD)6
Skewness41.425184
Sum482900
Variance6063902.8
MonotonicityNot monotonic
2023-12-13T06:56:09.055277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 645
25.7%
1 210
 
8.4%
2 127
 
5.1%
3 96
 
3.8%
4 82
 
3.3%
5 73
 
2.9%
6 64
 
2.5%
7 45
 
1.8%
8 43
 
1.7%
9 37
 
1.5%
Other values (415) 1089
43.4%
ValueCountFrequency (%)
0 645
25.7%
1 210
 
8.4%
2 127
 
5.1%
3 96
 
3.8%
4 82
 
3.3%
5 73
 
2.9%
6 64
 
2.5%
7 45
 
1.8%
8 43
 
1.7%
9 37
 
1.5%
ValueCountFrequency (%)
115059 1
< 0.1%
29985 1
< 0.1%
14613 1
< 0.1%
12491 1
< 0.1%
10197 1
< 0.1%
8004 1
< 0.1%
7835 1
< 0.1%
7689 1
< 0.1%
7619 1
< 0.1%
7568 1
< 0.1%

2020-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct479
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.04221
Minimum0
Maximum172672
Zeros597
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:09.203437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q359
95-th percentile797
Maximum172672
Range172672
Interquartile range (IQR)58

Descriptive statistics

Standard deviation3718.056
Coefficient of variation (CV)13.182622
Kurtosis1858.0884
Mean282.04221
Median Absolute Deviation (MAD)8
Skewness41.012664
Sum708208
Variance13823940
MonotonicityNot monotonic
2023-12-13T06:56:09.360763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 597
23.8%
1 203
 
8.1%
2 117
 
4.7%
3 86
 
3.4%
5 69
 
2.7%
4 65
 
2.6%
6 58
 
2.3%
8 54
 
2.2%
7 51
 
2.0%
10 37
 
1.5%
Other values (469) 1174
46.8%
ValueCountFrequency (%)
0 597
23.8%
1 203
 
8.1%
2 117
 
4.7%
3 86
 
3.4%
4 65
 
2.6%
5 69
 
2.7%
6 58
 
2.3%
7 51
 
2.0%
8 54
 
2.2%
9 30
 
1.2%
ValueCountFrequency (%)
172672 1
< 0.1%
51578 1
< 0.1%
20444 1
< 0.1%
19955 1
< 0.1%
17235 1
< 0.1%
12300 1
< 0.1%
9955 1
< 0.1%
9379 1
< 0.1%
9370 1
< 0.1%
9068 1
< 0.1%

2020-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct483
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.10434
Minimum0
Maximum178617
Zeros591
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:09.510329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q361
95-th percentile896
Maximum178617
Range178617
Interquartile range (IQR)60

Descriptive statistics

Standard deviation3840.6811
Coefficient of variation (CV)13.193486
Kurtosis1865.7549
Mean291.10434
Median Absolute Deviation (MAD)8
Skewness41.065995
Sum730963
Variance14750831
MonotonicityNot monotonic
2023-12-13T06:56:09.655456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 591
23.5%
1 187
 
7.4%
2 109
 
4.3%
4 92
 
3.7%
3 82
 
3.3%
5 61
 
2.4%
8 56
 
2.2%
6 47
 
1.9%
7 42
 
1.7%
10 35
 
1.4%
Other values (473) 1209
48.1%
ValueCountFrequency (%)
0 591
23.5%
1 187
 
7.4%
2 109
 
4.3%
3 82
 
3.3%
4 92
 
3.7%
5 61
 
2.4%
6 47
 
1.9%
7 42
 
1.7%
8 56
 
2.2%
9 30
 
1.2%
ValueCountFrequency (%)
178617 1
< 0.1%
49879 1
< 0.1%
27121 1
< 0.1%
21702 1
< 0.1%
16565 1
< 0.1%
12633 1
< 0.1%
10626 1
< 0.1%
10520 1
< 0.1%
9672 1
< 0.1%
9025 1
< 0.1%

2020-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct440
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.40024
Minimum0
Maximum118058
Zeros669
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:09.803020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q344.5
95-th percentile613
Maximum118058
Range118058
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation2525.4396
Coefficient of variation (CV)12.858638
Kurtosis1901.8452
Mean196.40024
Median Absolute Deviation (MAD)6
Skewness41.520954
Sum493161
Variance6377845.1
MonotonicityNot monotonic
2023-12-13T06:56:09.933722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
26.6%
1 175
 
7.0%
2 159
 
6.3%
3 87
 
3.5%
4 73
 
2.9%
5 59
 
2.3%
7 51
 
2.0%
6 43
 
1.7%
9 43
 
1.7%
8 42
 
1.7%
Other values (430) 1110
44.2%
ValueCountFrequency (%)
0 669
26.6%
1 175
 
7.0%
2 159
 
6.3%
3 87
 
3.5%
4 73
 
2.9%
5 59
 
2.3%
6 43
 
1.7%
7 51
 
2.0%
8 42
 
1.7%
9 43
 
1.7%
ValueCountFrequency (%)
118058 1
< 0.1%
31264 1
< 0.1%
14942 1
< 0.1%
14437 1
< 0.1%
10791 1
< 0.1%
7620 1
< 0.1%
7358 1
< 0.1%
7316 1
< 0.1%
6665 1
< 0.1%
6429 1
< 0.1%

2020-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct430
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.22023
Minimum0
Maximum117350
Zeros656
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:10.063576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q345
95-th percentile569
Maximum117350
Range117350
Interquartile range (IQR)45

Descriptive statistics

Standard deviation2507.0025
Coefficient of variation (CV)12.974845
Kurtosis1912.2972
Mean193.22023
Median Absolute Deviation (MAD)6
Skewness41.68307
Sum485176
Variance6285061.3
MonotonicityNot monotonic
2023-12-13T06:56:10.256855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 656
26.1%
1 204
 
8.1%
2 112
 
4.5%
3 104
 
4.1%
4 88
 
3.5%
6 56
 
2.2%
7 50
 
2.0%
5 48
 
1.9%
14 33
 
1.3%
12 32
 
1.3%
Other values (420) 1128
44.9%
ValueCountFrequency (%)
0 656
26.1%
1 204
 
8.1%
2 112
 
4.5%
3 104
 
4.1%
4 88
 
3.5%
5 48
 
1.9%
6 56
 
2.2%
7 50
 
2.0%
8 28
 
1.1%
9 32
 
1.3%
ValueCountFrequency (%)
117350 1
< 0.1%
31561 1
< 0.1%
14339 1
< 0.1%
11556 1
< 0.1%
10083 1
< 0.1%
7911 1
< 0.1%
7549 1
< 0.1%
7536 1
< 0.1%
7201 1
< 0.1%
6860 1
< 0.1%

2020-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct427
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.28076
Minimum0
Maximum128595
Zeros664
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:10.414257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q339.5
95-th percentile630
Maximum128595
Range128595
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation2737.3527
Coefficient of variation (CV)13.399953
Kurtosis1940.1152
Mean204.28076
Median Absolute Deviation (MAD)6
Skewness42.089952
Sum512949
Variance7493099.7
MonotonicityNot monotonic
2023-12-13T06:56:10.561057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 664
26.4%
1 212
 
8.4%
2 123
 
4.9%
3 101
 
4.0%
4 73
 
2.9%
5 60
 
2.4%
8 53
 
2.1%
7 40
 
1.6%
9 40
 
1.6%
6 39
 
1.6%
Other values (417) 1106
44.0%
ValueCountFrequency (%)
0 664
26.4%
1 212
 
8.4%
2 123
 
4.9%
3 101
 
4.0%
4 73
 
2.9%
5 60
 
2.4%
6 39
 
1.6%
7 40
 
1.6%
8 53
 
2.1%
9 40
 
1.6%
ValueCountFrequency (%)
128595 1
< 0.1%
34448 1
< 0.1%
13150 1
< 0.1%
11294 1
< 0.1%
10217 1
< 0.1%
9264 1
< 0.1%
8391 1
< 0.1%
8343 1
< 0.1%
8163 1
< 0.1%
6989 1
< 0.1%

2020-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct444
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.42294
Minimum0
Maximum159539
Zeros623
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:10.693664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q347
95-th percentile782.5
Maximum159539
Range159539
Interquartile range (IQR)46

Descriptive statistics

Standard deviation3378.6056
Coefficient of variation (CV)13.437937
Kurtosis1976.1733
Mean251.42294
Median Absolute Deviation (MAD)7
Skewness42.492386
Sum631323
Variance11414976
MonotonicityNot monotonic
2023-12-13T06:56:10.844480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 623
24.8%
1 222
 
8.8%
2 129
 
5.1%
3 90
 
3.6%
4 81
 
3.2%
5 57
 
2.3%
6 49
 
2.0%
8 42
 
1.7%
7 39
 
1.6%
9 39
 
1.6%
Other values (434) 1140
45.4%
ValueCountFrequency (%)
0 623
24.8%
1 222
 
8.8%
2 129
 
5.1%
3 90
 
3.6%
4 81
 
3.2%
5 57
 
2.3%
6 49
 
2.0%
7 39
 
1.6%
8 42
 
1.7%
9 39
 
1.6%
ValueCountFrequency (%)
159539 1
< 0.1%
36189 1
< 0.1%
20015 1
< 0.1%
16654 1
< 0.1%
13532 1
< 0.1%
11585 1
< 0.1%
11009 1
< 0.1%
10657 1
< 0.1%
9706 1
< 0.1%
8756 1
< 0.1%

2020-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct502
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.71406
Minimum0
Maximum191635
Zeros495
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:10.975820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q363
95-th percentile950.5
Maximum191635
Range191635
Interquartile range (IQR)62

Descriptive statistics

Standard deviation4079.1485
Coefficient of variation (CV)13.256296
Kurtosis1939.7592
Mean307.71406
Median Absolute Deviation (MAD)10
Skewness42.070763
Sum772670
Variance16639452
MonotonicityNot monotonic
2023-12-13T06:56:11.437357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 495
 
19.7%
1 177
 
7.0%
2 124
 
4.9%
3 94
 
3.7%
4 79
 
3.1%
5 76
 
3.0%
7 56
 
2.2%
6 49
 
2.0%
9 46
 
1.8%
11 44
 
1.8%
Other values (492) 1271
50.6%
ValueCountFrequency (%)
0 495
19.7%
1 177
 
7.0%
2 124
 
4.9%
3 94
 
3.7%
4 79
 
3.1%
5 76
 
3.0%
6 49
 
2.0%
7 56
 
2.2%
8 37
 
1.5%
9 46
 
1.8%
ValueCountFrequency (%)
191635 1
< 0.1%
50699 1
< 0.1%
19506 1
< 0.1%
17227 1
< 0.1%
15611 1
< 0.1%
14529 1
< 0.1%
13803 1
< 0.1%
12937 1
< 0.1%
12835 1
< 0.1%
10248 1
< 0.1%

2021-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct460
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.26643
Minimum0
Maximum134196
Zeros605
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:11.580606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q346
95-th percentile656.5
Maximum134196
Range134196
Interquartile range (IQR)45

Descriptive statistics

Standard deviation2870.645
Coefficient of variation (CV)13.212557
Kurtosis1905.2456
Mean217.26643
Median Absolute Deviation (MAD)7
Skewness41.658685
Sum545556
Variance8240602.6
MonotonicityNot monotonic
2023-12-13T06:56:11.748441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 605
24.1%
1 191
 
7.6%
2 117
 
4.7%
3 103
 
4.1%
4 86
 
3.4%
6 62
 
2.5%
5 61
 
2.4%
7 45
 
1.8%
8 41
 
1.6%
9 40
 
1.6%
Other values (450) 1160
46.2%
ValueCountFrequency (%)
0 605
24.1%
1 191
 
7.6%
2 117
 
4.7%
3 103
 
4.1%
4 86
 
3.4%
5 61
 
2.4%
6 62
 
2.5%
7 45
 
1.8%
8 41
 
1.6%
9 40
 
1.6%
ValueCountFrequency (%)
134196 1
< 0.1%
38562 1
< 0.1%
12971 1
< 0.1%
12914 1
< 0.1%
11473 1
< 0.1%
10039 1
< 0.1%
9486 1
< 0.1%
9081 1
< 0.1%
8140 1
< 0.1%
8040 1
< 0.1%

2021-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct434
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.85862
Minimum0
Maximum131032
Zeros652
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:11.912912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q339.5
95-th percentile622.5
Maximum131032
Range131032
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation2806.3303
Coefficient of variation (CV)13.501149
Kurtosis1897.1291
Mean207.85862
Median Absolute Deviation (MAD)6
Skewness41.560992
Sum521933
Variance7875489.5
MonotonicityNot monotonic
2023-12-13T06:56:12.064039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 652
26.0%
1 213
 
8.5%
2 121
 
4.8%
3 103
 
4.1%
4 76
 
3.0%
5 71
 
2.8%
8 47
 
1.9%
7 44
 
1.8%
6 43
 
1.7%
10 38
 
1.5%
Other values (424) 1103
43.9%
ValueCountFrequency (%)
0 652
26.0%
1 213
 
8.5%
2 121
 
4.8%
3 103
 
4.1%
4 76
 
3.0%
5 71
 
2.8%
6 43
 
1.7%
7 44
 
1.8%
8 47
 
1.9%
9 33
 
1.3%
ValueCountFrequency (%)
131032 1
< 0.1%
38170 1
< 0.1%
13803 1
< 0.1%
12596 1
< 0.1%
11746 1
< 0.1%
9243 1
< 0.1%
8837 1
< 0.1%
8683 1
< 0.1%
8168 1
< 0.1%
7462 1
< 0.1%

2021-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct476
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.31422
Minimum0
Maximum164015
Zeros548
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:12.202441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q353
95-th percentile776
Maximum164015
Range164015
Interquartile range (IQR)52

Descriptive statistics

Standard deviation3500.2601
Coefficient of variation (CV)13.293092
Kurtosis1920.83
Mean263.31422
Median Absolute Deviation (MAD)9
Skewness41.819451
Sum661182
Variance12251821
MonotonicityNot monotonic
2023-12-13T06:56:12.347476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 548
21.8%
1 167
 
6.7%
2 131
 
5.2%
3 117
 
4.7%
4 74
 
2.9%
5 63
 
2.5%
6 53
 
2.1%
7 45
 
1.8%
8 37
 
1.5%
9 36
 
1.4%
Other values (466) 1240
49.4%
ValueCountFrequency (%)
0 548
21.8%
1 167
 
6.7%
2 131
 
5.2%
3 117
 
4.7%
4 74
 
2.9%
5 63
 
2.5%
6 53
 
2.1%
7 45
 
1.8%
8 37
 
1.5%
9 36
 
1.4%
ValueCountFrequency (%)
164015 1
< 0.1%
44483 1
< 0.1%
16559 1
< 0.1%
15946 1
< 0.1%
12681 1
< 0.1%
12565 1
< 0.1%
11987 1
< 0.1%
11932 1
< 0.1%
11573 1
< 0.1%
11003 1
< 0.1%

2021-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct471
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.55914
Minimum0
Maximum154206
Zeros579
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:12.526039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q355.5
95-th percentile717.5
Maximum154206
Range154206
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation3287.5561
Coefficient of variation (CV)13.226454
Kurtosis1927.339
Mean248.55914
Median Absolute Deviation (MAD)8
Skewness41.87682
Sum624132
Variance10808025
MonotonicityNot monotonic
2023-12-13T06:56:12.672171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 579
23.1%
1 193
 
7.7%
2 113
 
4.5%
3 109
 
4.3%
4 67
 
2.7%
5 63
 
2.5%
6 53
 
2.1%
11 47
 
1.9%
7 45
 
1.8%
8 43
 
1.7%
Other values (461) 1199
47.7%
ValueCountFrequency (%)
0 579
23.1%
1 193
 
7.7%
2 113
 
4.5%
3 109
 
4.3%
4 67
 
2.7%
5 63
 
2.5%
6 53
 
2.1%
7 45
 
1.8%
8 43
 
1.7%
9 33
 
1.3%
ValueCountFrequency (%)
154206 1
< 0.1%
40293 1
< 0.1%
16286 1
< 0.1%
15434 1
< 0.1%
12553 1
< 0.1%
11647 1
< 0.1%
11638 1
< 0.1%
11264 1
< 0.1%
11125 1
< 0.1%
10198 1
< 0.1%

2021-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct476
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240.19634
Minimum0
Maximum147276
Zeros598
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:12.816217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q352.5
95-th percentile707
Maximum147276
Range147276
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation3148.7946
Coefficient of variation (CV)13.109253
Kurtosis1906.7876
Mean240.19634
Median Absolute Deviation (MAD)8
Skewness41.614552
Sum603133
Variance9914907.4
MonotonicityNot monotonic
2023-12-13T06:56:12.970415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 598
23.8%
1 194
 
7.7%
2 105
 
4.2%
3 95
 
3.8%
4 80
 
3.2%
5 77
 
3.1%
6 50
 
2.0%
8 42
 
1.7%
7 40
 
1.6%
12 35
 
1.4%
Other values (466) 1195
47.6%
ValueCountFrequency (%)
0 598
23.8%
1 194
 
7.7%
2 105
 
4.2%
3 95
 
3.8%
4 80
 
3.2%
5 77
 
3.1%
6 50
 
2.0%
7 40
 
1.6%
8 42
 
1.7%
9 31
 
1.2%
ValueCountFrequency (%)
147276 1
< 0.1%
39975 1
< 0.1%
16661 1
< 0.1%
14984 1
< 0.1%
13700 1
< 0.1%
10636 1
< 0.1%
10410 1
< 0.1%
10356 1
< 0.1%
10128 1
< 0.1%
8743 1
< 0.1%

2021-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct460
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.56073
Minimum0
Maximum138060
Zeros558
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:13.105430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q354
95-th percentile627
Maximum138060
Range138060
Interquartile range (IQR)53

Descriptive statistics

Standard deviation2958.1243
Coefficient of variation (CV)12.886021
Kurtosis1890.8824
Mean229.56073
Median Absolute Deviation (MAD)8
Skewness41.392517
Sum576427
Variance8750499.6
MonotonicityNot monotonic
2023-12-13T06:56:13.231454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558
22.2%
1 197
 
7.8%
2 133
 
5.3%
4 91
 
3.6%
3 82
 
3.3%
5 65
 
2.6%
6 52
 
2.1%
9 42
 
1.7%
7 41
 
1.6%
8 37
 
1.5%
Other values (450) 1213
48.3%
ValueCountFrequency (%)
0 558
22.2%
1 197
 
7.8%
2 133
 
5.3%
3 82
 
3.3%
4 91
 
3.6%
5 65
 
2.6%
6 52
 
2.1%
7 41
 
1.6%
8 37
 
1.5%
9 42
 
1.7%
ValueCountFrequency (%)
138060 1
< 0.1%
38068 1
< 0.1%
16723 1
< 0.1%
13965 1
< 0.1%
12469 1
< 0.1%
10565 1
< 0.1%
10421 1
< 0.1%
9240 1
< 0.1%
8568 1
< 0.1%
7768 1
< 0.1%

2021-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct456
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.98009
Minimum0
Maximum132595
Zeros605
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:13.377412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q350
95-th percentile633
Maximum132595
Range132595
Interquartile range (IQR)49

Descriptive statistics

Standard deviation2845.8613
Coefficient of variation (CV)12.878361
Kurtosis1879.0547
Mean220.98009
Median Absolute Deviation (MAD)8
Skewness41.243991
Sum554881
Variance8098926.8
MonotonicityNot monotonic
2023-12-13T06:56:13.535635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 605
24.1%
1 184
 
7.3%
2 127
 
5.1%
3 93
 
3.7%
6 76
 
3.0%
4 70
 
2.8%
5 50
 
2.0%
7 40
 
1.6%
8 36
 
1.4%
15 36
 
1.4%
Other values (446) 1194
47.6%
ValueCountFrequency (%)
0 605
24.1%
1 184
 
7.3%
2 127
 
5.1%
3 93
 
3.7%
4 70
 
2.8%
5 50
 
2.0%
6 76
 
3.0%
7 40
 
1.6%
8 36
 
1.4%
9 34
 
1.4%
ValueCountFrequency (%)
132595 1
< 0.1%
37369 1
< 0.1%
16847 1
< 0.1%
12993 1
< 0.1%
12063 1
< 0.1%
10000 1
< 0.1%
9812 1
< 0.1%
8997 1
< 0.1%
8555 1
< 0.1%
7174 1
< 0.1%

2021-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct452
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.16806
Minimum0
Maximum129182
Zeros655
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:13.668122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q350
95-th percentile623.5
Maximum129182
Range129182
Interquartile range (IQR)50

Descriptive statistics

Standard deviation2773.5027
Coefficient of variation (CV)12.771228
Kurtosis1875.8773
Mean217.16806
Median Absolute Deviation (MAD)6
Skewness41.175257
Sum545309
Variance7692317.4
MonotonicityNot monotonic
2023-12-13T06:56:13.795464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 655
26.1%
1 188
 
7.5%
2 137
 
5.5%
3 88
 
3.5%
5 80
 
3.2%
4 62
 
2.5%
7 50
 
2.0%
8 47
 
1.9%
6 46
 
1.8%
9 39
 
1.6%
Other values (442) 1119
44.6%
ValueCountFrequency (%)
0 655
26.1%
1 188
 
7.5%
2 137
 
5.5%
3 88
 
3.5%
4 62
 
2.5%
5 80
 
3.2%
6 46
 
1.8%
7 50
 
2.0%
8 47
 
1.9%
9 39
 
1.6%
ValueCountFrequency (%)
129182 1
< 0.1%
35814 1
< 0.1%
16951 1
< 0.1%
13040 1
< 0.1%
11566 1
< 0.1%
10041 1
< 0.1%
9705 1
< 0.1%
8886 1
< 0.1%
8398 1
< 0.1%
7592 1
< 0.1%

2021-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct433
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.00916
Minimum0
Maximum116147
Zeros680
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:13.924711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q348
95-th percentile589.5
Maximum116147
Range116147
Interquartile range (IQR)48

Descriptive statistics

Standard deviation2497.7654
Coefficient of variation (CV)12.678423
Kurtosis1863.9541
Mean197.00916
Median Absolute Deviation (MAD)6
Skewness41.009861
Sum494690
Variance6238832.1
MonotonicityNot monotonic
2023-12-13T06:56:14.091075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 680
27.1%
1 210
 
8.4%
2 132
 
5.3%
3 84
 
3.3%
4 61
 
2.4%
6 53
 
2.1%
5 45
 
1.8%
8 39
 
1.6%
9 38
 
1.5%
7 38
 
1.5%
Other values (423) 1131
45.0%
ValueCountFrequency (%)
0 680
27.1%
1 210
 
8.4%
2 132
 
5.3%
3 84
 
3.3%
4 61
 
2.4%
5 45
 
1.8%
6 53
 
2.1%
7 38
 
1.5%
8 39
 
1.6%
9 38
 
1.5%
ValueCountFrequency (%)
116147 1
< 0.1%
32537 1
< 0.1%
15837 1
< 0.1%
11808 1
< 0.1%
10338 1
< 0.1%
9737 1
< 0.1%
8011 1
< 0.1%
7852 1
< 0.1%
7315 1
< 0.1%
6768 1
< 0.1%

2021-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct438
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.85265
Minimum0
Maximum112327
Zeros646
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:14.222775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q351.5
95-th percentile580.5
Maximum112327
Range112327
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation2408.4132
Coefficient of variation (CV)12.423938
Kurtosis1882.7688
Mean193.85265
Median Absolute Deviation (MAD)6
Skewness41.192817
Sum486764
Variance5800454.3
MonotonicityNot monotonic
2023-12-13T06:56:14.344241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 646
25.7%
1 207
 
8.2%
2 148
 
5.9%
3 72
 
2.9%
4 65
 
2.6%
6 65
 
2.6%
5 62
 
2.5%
7 48
 
1.9%
9 38
 
1.5%
10 36
 
1.4%
Other values (428) 1124
44.8%
ValueCountFrequency (%)
0 646
25.7%
1 207
 
8.2%
2 148
 
5.9%
3 72
 
2.9%
4 65
 
2.6%
5 62
 
2.5%
6 65
 
2.6%
7 48
 
1.9%
8 25
 
1.0%
9 38
 
1.5%
ValueCountFrequency (%)
112327 1
< 0.1%
28605 1
< 0.1%
15612 1
< 0.1%
13305 1
< 0.1%
9578 1
< 0.1%
8867 1
< 0.1%
8609 1
< 0.1%
8469 1
< 0.1%
7099 1
< 0.1%
6825 1
< 0.1%

2021-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct447
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.07368
Minimum0
Maximum110034
Zeros593
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:14.475301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q355
95-th percentile576.5
Maximum110034
Range110034
Interquartile range (IQR)54

Descriptive statistics

Standard deviation2362.8692
Coefficient of variation (CV)12.050925
Kurtosis1869.4541
Mean196.07368
Median Absolute Deviation (MAD)8
Skewness40.945946
Sum492341
Variance5583150.8
MonotonicityNot monotonic
2023-12-13T06:56:14.604198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 593
23.6%
1 186
 
7.4%
2 132
 
5.3%
3 99
 
3.9%
4 77
 
3.1%
5 70
 
2.8%
6 53
 
2.1%
7 39
 
1.6%
9 36
 
1.4%
8 36
 
1.4%
Other values (437) 1190
47.4%
ValueCountFrequency (%)
0 593
23.6%
1 186
 
7.4%
2 132
 
5.3%
3 99
 
3.9%
4 77
 
3.1%
5 70
 
2.8%
6 53
 
2.1%
7 39
 
1.6%
8 36
 
1.4%
9 36
 
1.4%
ValueCountFrequency (%)
110034 1
< 0.1%
26079 1
< 0.1%
16361 1
< 0.1%
15242 1
< 0.1%
9281 1
< 0.1%
9140 1
< 0.1%
8815 1
< 0.1%
8288 1
< 0.1%
7860 1
< 0.1%
7348 1
< 0.1%

2021-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct441
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.86659
Minimum0
Maximum105598
Zeros492
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:14.762018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q357
95-th percentile555
Maximum105598
Range105598
Interquartile range (IQR)56

Descriptive statistics

Standard deviation2275.0257
Coefficient of variation (CV)11.857331
Kurtosis1845.6322
Mean191.86659
Median Absolute Deviation (MAD)11
Skewness40.610575
Sum481777
Variance5175741.8
MonotonicityNot monotonic
2023-12-13T06:56:14.892659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 492
 
19.6%
1 190
 
7.6%
2 112
 
4.5%
3 94
 
3.7%
4 78
 
3.1%
5 75
 
3.0%
7 53
 
2.1%
12 47
 
1.9%
6 42
 
1.7%
8 37
 
1.5%
Other values (431) 1291
51.4%
ValueCountFrequency (%)
0 492
19.6%
1 190
 
7.6%
2 112
 
4.5%
3 94
 
3.7%
4 78
 
3.1%
5 75
 
3.0%
6 42
 
1.7%
7 53
 
2.1%
8 37
 
1.5%
9 36
 
1.4%
ValueCountFrequency (%)
105598 1
< 0.1%
25390 1
< 0.1%
17691 1
< 0.1%
13183 1
< 0.1%
9327 1
< 0.1%
9271 1
< 0.1%
8915 1
< 0.1%
8274 1
< 0.1%
7584 1
< 0.1%
7006 1
< 0.1%

2022-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct392
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.9542
Minimum0
Maximum79754
Zeros601
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:15.059171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q341
95-th percentile412.5
Maximum79754
Range79754
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1713.2723
Coefficient of variation (CV)11.984763
Kurtosis1865.893
Mean142.9542
Median Absolute Deviation (MAD)7
Skewness40.870502
Sum358958
Variance2935301.9
MonotonicityNot monotonic
2023-12-13T06:56:15.530169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 601
23.9%
1 215
 
8.6%
2 127
 
5.1%
3 94
 
3.7%
5 75
 
3.0%
4 66
 
2.6%
6 57
 
2.3%
8 49
 
2.0%
7 46
 
1.8%
9 43
 
1.7%
Other values (382) 1138
45.3%
ValueCountFrequency (%)
0 601
23.9%
1 215
 
8.6%
2 127
 
5.1%
3 94
 
3.7%
4 66
 
2.6%
5 75
 
3.0%
6 57
 
2.3%
7 46
 
1.8%
8 49
 
2.0%
9 43
 
1.7%
ValueCountFrequency (%)
79754 1
< 0.1%
18051 1
< 0.1%
12268 1
< 0.1%
11059 1
< 0.1%
7597 1
< 0.1%
7136 1
< 0.1%
7120 1
< 0.1%
6496 1
< 0.1%
5449 1
< 0.1%
5385 1
< 0.1%

2022-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct385
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.03106
Minimum0
Maximum80242
Zeros684
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:15.676269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q339
95-th percentile416.5
Maximum80242
Range80242
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1715.8302
Coefficient of variation (CV)12.253211
Kurtosis1900.2407
Mean140.03106
Median Absolute Deviation (MAD)6
Skewness41.358215
Sum351618
Variance2944073.1
MonotonicityNot monotonic
2023-12-13T06:56:15.854589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 684
27.2%
1 200
 
8.0%
2 147
 
5.9%
3 77
 
3.1%
4 72
 
2.9%
5 70
 
2.8%
6 59
 
2.3%
8 49
 
2.0%
7 45
 
1.8%
12 39
 
1.6%
Other values (375) 1069
42.6%
ValueCountFrequency (%)
0 684
27.2%
1 200
 
8.0%
2 147
 
5.9%
3 77
 
3.1%
4 72
 
2.9%
5 70
 
2.8%
6 59
 
2.3%
7 45
 
1.8%
8 49
 
2.0%
9 35
 
1.4%
ValueCountFrequency (%)
80242 1
< 0.1%
18011 1
< 0.1%
11429 1
< 0.1%
9336 1
< 0.1%
7556 1
< 0.1%
7313 1
< 0.1%
6879 1
< 0.1%
6717 1
< 0.1%
5543 1
< 0.1%
4998 1
< 0.1%

2022-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct418
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.99164
Minimum0
Maximum97807
Zeros617
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:16.046761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q344
95-th percentile497.5
Maximum97807
Range97807
Interquartile range (IQR)43

Descriptive statistics

Standard deviation2090.0215
Coefficient of variation (CV)12.441224
Kurtosis1905.6514
Mean167.99164
Median Absolute Deviation (MAD)8
Skewness41.448022
Sum421827
Variance4368189.9
MonotonicityNot monotonic
2023-12-13T06:56:16.189349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 617
24.6%
1 194
 
7.7%
2 136
 
5.4%
3 97
 
3.9%
4 62
 
2.5%
6 49
 
2.0%
5 48
 
1.9%
7 43
 
1.7%
8 42
 
1.7%
10 39
 
1.6%
Other values (408) 1184
47.2%
ValueCountFrequency (%)
0 617
24.6%
1 194
 
7.7%
2 136
 
5.4%
3 97
 
3.9%
4 62
 
2.5%
5 48
 
1.9%
6 49
 
2.0%
7 43
 
1.7%
8 42
 
1.7%
9 31
 
1.2%
ValueCountFrequency (%)
97807 1
< 0.1%
22111 1
< 0.1%
13131 1
< 0.1%
12124 1
< 0.1%
9267 1
< 0.1%
8731 1
< 0.1%
8705 1
< 0.1%
8116 1
< 0.1%
6761 1
< 0.1%
6021 1
< 0.1%

2022-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct418
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.88411
Minimum0
Maximum100910
Zeros645
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:16.324839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q349
95-th percentile512
Maximum100910
Range100910
Interquartile range (IQR)49

Descriptive statistics

Standard deviation2164.4928
Coefficient of variation (CV)12.306358
Kurtosis1878.5094
Mean175.88411
Median Absolute Deviation (MAD)8
Skewness41.094412
Sum441645
Variance4685029
MonotonicityNot monotonic
2023-12-13T06:56:16.467606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 645
25.7%
1 183
 
7.3%
2 123
 
4.9%
3 83
 
3.3%
4 66
 
2.6%
5 59
 
2.3%
6 43
 
1.7%
7 39
 
1.6%
13 39
 
1.6%
8 39
 
1.6%
Other values (408) 1192
47.5%
ValueCountFrequency (%)
0 645
25.7%
1 183
 
7.3%
2 123
 
4.9%
3 83
 
3.3%
4 66
 
2.6%
5 59
 
2.3%
6 43
 
1.7%
7 39
 
1.6%
8 39
 
1.6%
9 36
 
1.4%
ValueCountFrequency (%)
100910 1
< 0.1%
24518 1
< 0.1%
14126 1
< 0.1%
12770 1
< 0.1%
9070 1
< 0.1%
8805 1
< 0.1%
8499 1
< 0.1%
7658 1
< 0.1%
7008 1
< 0.1%
6480 1
< 0.1%

2022-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct430
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.33851
Minimum0
Maximum101141
Zeros585
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:16.596328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q352
95-th percentile518
Maximum101141
Range101141
Interquartile range (IQR)51

Descriptive statistics

Standard deviation2177.2253
Coefficient of variation (CV)12.072991
Kurtosis1852.0402
Mean180.33851
Median Absolute Deviation (MAD)9
Skewness40.714122
Sum452830
Variance4740309.8
MonotonicityNot monotonic
2023-12-13T06:56:16.744742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 585
23.3%
1 187
 
7.4%
2 123
 
4.9%
3 79
 
3.1%
4 77
 
3.1%
5 58
 
2.3%
7 46
 
1.8%
6 44
 
1.8%
8 41
 
1.6%
11 41
 
1.6%
Other values (420) 1230
49.0%
ValueCountFrequency (%)
0 585
23.3%
1 187
 
7.4%
2 123
 
4.9%
3 79
 
3.1%
4 77
 
3.1%
5 58
 
2.3%
6 44
 
1.8%
7 46
 
1.8%
8 41
 
1.6%
9 36
 
1.4%
ValueCountFrequency (%)
101141 1
< 0.1%
24621 1
< 0.1%
15632 1
< 0.1%
14099 1
< 0.1%
8615 1
< 0.1%
8494 1
< 0.1%
8231 1
< 0.1%
8123 1
< 0.1%
7099 1
< 0.1%
6705 1
< 0.1%

2022-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct400
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.182
Minimum0
Maximum87673
Zeros613
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:16.881971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q340
95-th percentile431
Maximum87673
Range87673
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1879.959
Coefficient of variation (CV)12.193116
Kurtosis1880.8291
Mean154.182
Median Absolute Deviation (MAD)8
Skewness41.127324
Sum387151
Variance3534245.9
MonotonicityNot monotonic
2023-12-13T06:56:17.018618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 613
24.4%
1 183
 
7.3%
2 113
 
4.5%
3 82
 
3.3%
4 80
 
3.2%
5 64
 
2.5%
9 49
 
2.0%
6 46
 
1.8%
7 44
 
1.8%
10 42
 
1.7%
Other values (390) 1195
47.6%
ValueCountFrequency (%)
0 613
24.4%
1 183
 
7.3%
2 113
 
4.5%
3 82
 
3.3%
4 80
 
3.2%
5 64
 
2.5%
6 46
 
1.8%
7 44
 
1.8%
8 40
 
1.6%
9 49
 
2.0%
ValueCountFrequency (%)
87673 1
< 0.1%
21268 1
< 0.1%
13568 1
< 0.1%
9308 1
< 0.1%
7523 1
< 0.1%
7120 1
< 0.1%
6857 1
< 0.1%
6774 1
< 0.1%
6387 1
< 0.1%
5613 1
< 0.1%

2022-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct375
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.82318
Minimum0
Maximum71888
Zeros682
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-13T06:56:17.144702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q336
95-th percentile355.5
Maximum71888
Range71888
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1546.919
Coefficient of variation (CV)12.00808
Kurtosis1853.9819
Mean128.82318
Median Absolute Deviation (MAD)7
Skewness40.713965
Sum323475
Variance2392958.4
MonotonicityNot monotonic
2023-12-13T06:56:17.277578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 682
27.2%
1 210
 
8.4%
2 113
 
4.5%
4 79
 
3.1%
3 70
 
2.8%
7 57
 
2.3%
5 54
 
2.2%
6 47
 
1.9%
8 43
 
1.7%
9 39
 
1.6%
Other values (365) 1117
44.5%
ValueCountFrequency (%)
0 682
27.2%
1 210
 
8.4%
2 113
 
4.5%
3 70
 
2.8%
4 79
 
3.1%
5 54
 
2.2%
6 47
 
1.9%
7 57
 
2.3%
8 43
 
1.7%
9 39
 
1.6%
ValueCountFrequency (%)
71888 1
< 0.1%
16710 1
< 0.1%
12042 1
< 0.1%
9446 1
< 0.1%
6126 1
< 0.1%
6105 1
< 0.1%
5965 1
< 0.1%
5607 1
< 0.1%
5345 1
< 0.1%
4622 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>개인91176762299421899722959628730510418697263904131167161255981520721346531502851445561075691150591726721786171180581173501285951595391916351341961310321640151542061472761380601325951291821161471123271100341055987975480242978071009101011418767371888
1전국 /개인>법인907470839497950310861964611302973899001129812693144091175217207181581345914613204441656510791100839264115851561111473117461594616286166611672316847169511583715612163611769112268114291313114126140991356812042
2전국 /개인>기타1335118516711990143315741826175214571457270032091788181821162229187924692651287331932230242529402869161726842782268330292567223718051622243827361469132621691837258225801874
3전국 /법인>개인15979121671497415839149261176413453133761178412995135961706414223143781443513701124911723521702144371433913150166541950612971125961655915434149841396512993130401180813305152421318311059933612124127701563293089446
4전국 /법인>법인3805272047174345451535035396380937895569521074904802435463515382644165166706500741114864479971904431400851295119543654975856582865205766604475844593434953936480670551424250
5전국 /법인>기타3938212620521438216425315726521291646312724431119657584785910346789651548213845475310459061175813750642837700184113185977318379201684623
6전국 /기타>개인2065142919161774196515601895143719251572127517191436164920812198150717712771398433193350332137093569331039433007283536363513375931483896369038622599265023142519217325142216
7전국 /기타>법인4444967077915596115584405563834275085804776547896257587684214335585189246944587725068006618361237775744197894012341961604810797648679
8전국 /기타>기타146227182265200768343205204241161452415207269291180318331175185201191412500250365325204409272161293632226590367266302289267285216
9서울 /개인>개인636754736400770884148936132551411512583151441789021982172761737416812926610197199552712114942115561129410657172271291413803125651255313700124691206311566103388867828868175385499859147008823167745345
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>기타1000141031122200510020104301112420341041400
2502제주 서귀포시/개인>개인433375362396452332455357303361343408380417369374361409469355387372495628585604583680581717629539497473576580475440566597613572442
2503제주 서귀포시/개인>법인80355860532188435967716544411056160129801193534124735257816625967697581806811685478410011210678
2504제주 서귀포시/개인>기타1438212115152251691512210782343301449488237365157
2505제주 서귀포시/법인>개인160146218243129109122155137183758051779712295149111941021127514710112710413395134105838267114109748013813317911770
2506제주 서귀포시/법인>법인382845513734993827310139481122469275359261242334333826122414462462372433485255202241523518
2507제주 서귀포시/법인>기타10151101200000320200011051722363000215291101131
2508제주 서귀포시/기타>개인661228814351453957421331519912193129188913223281210547899719
2509제주 서귀포시/기타>법인00331500203600001100000010000100021016142122002
2510제주 서귀포시/기타>기타20000000000101000002000300205110052215200000