Overview

Dataset statistics

Number of variables44
Number of observations2232
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
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(필지수) 데이터입니다. -(단위 : 필지수) - 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068000/fileData.do

Alerts

2019-01 is highly skewed (γ1 = 34.27658986)Skewed
2019-02 is highly skewed (γ1 = 34.93873161)Skewed
2019-03 is highly skewed (γ1 = 33.52184759)Skewed
2019-04 is highly skewed (γ1 = 34.85904817)Skewed
2019-05 is highly skewed (γ1 = 35.05508277)Skewed
2019-06 is highly skewed (γ1 = 36.1704727)Skewed
2019-07 is highly skewed (γ1 = 36.36889788)Skewed
2019-08 is highly skewed (γ1 = 36.84719957)Skewed
2019-09 is highly skewed (γ1 = 37.19291091)Skewed
2019-10 is highly skewed (γ1 = 37.21668037)Skewed
2019-11 is highly skewed (γ1 = 37.29198352)Skewed
2019-12 is highly skewed (γ1 = 37.40941533)Skewed
2020-01 is highly skewed (γ1 = 37.15124541)Skewed
2020-02 is highly skewed (γ1 = 36.89090126)Skewed
2020-03 is highly skewed (γ1 = 36.48022338)Skewed
2020-04 is highly skewed (γ1 = 36.80172218)Skewed
2020-05 is highly skewed (γ1 = 37.52450629)Skewed
2020-06 is highly skewed (γ1 = 37.72613371)Skewed
2020-07 is highly skewed (γ1 = 37.52407148)Skewed
2020-08 is highly skewed (γ1 = 37.150291)Skewed
2020-09 is highly skewed (γ1 = 37.38976027)Skewed
2020-10 is highly skewed (γ1 = 38.00412137)Skewed
2020-11 is highly skewed (γ1 = 38.33979707)Skewed
2020-12 is highly skewed (γ1 = 37.82590777)Skewed
2021-01 is highly skewed (γ1 = 36.72598662)Skewed
2021-02 is highly skewed (γ1 = 36.43499553)Skewed
2021-03 is highly skewed (γ1 = 36.38307055)Skewed
2021-04 is highly skewed (γ1 = 36.16228063)Skewed
2021-05 is highly skewed (γ1 = 36.95972884)Skewed
2021-06 is highly skewed (γ1 = 37.13009556)Skewed
2021-07 is highly skewed (γ1 = 37.20152534)Skewed
2021-08 is highly skewed (γ1 = 37.47892576)Skewed
2021-09 is highly skewed (γ1 = 37.51296916)Skewed
2021-10 is highly skewed (γ1 = 37.23362545)Skewed
2021-11 is highly skewed (γ1 = 35.81817112)Skewed
2021-12 is highly skewed (γ1 = 33.28848749)Skewed
2022-01 is highly skewed (γ1 = 33.86939725)Skewed
2022-02 is highly skewed (γ1 = 33.97321501)Skewed
2022-03 is highly skewed (γ1 = 34.55217874)Skewed
2022-04 is highly skewed (γ1 = 35.29764942)Skewed
2022-05 is highly skewed (γ1 = 35.98628267)Skewed
2022-06 is highly skewed (γ1 = 35.12939531)Skewed
2022-07 is highly skewed (γ1 = 34.38551225)Skewed
지역 has unique valuesUnique
2019-01 has 828 (37.1%) zerosZeros
2019-02 has 836 (37.5%) zerosZeros
2019-03 has 798 (35.8%) zerosZeros
2019-04 has 805 (36.1%) zerosZeros
2019-05 has 806 (36.1%) zerosZeros
2019-06 has 814 (36.5%) zerosZeros
2019-07 has 814 (36.5%) zerosZeros
2019-08 has 827 (37.1%) zerosZeros
2019-09 has 852 (38.2%) zerosZeros
2019-10 has 833 (37.3%) zerosZeros
2019-11 has 814 (36.5%) zerosZeros
2019-12 has 820 (36.7%) zerosZeros
2020-01 has 817 (36.6%) zerosZeros
2020-02 has 794 (35.6%) zerosZeros
2020-03 has 779 (34.9%) zerosZeros
2020-04 has 805 (36.1%) zerosZeros
2020-05 has 828 (37.1%) zerosZeros
2020-06 has 800 (35.8%) zerosZeros
2020-07 has 768 (34.4%) zerosZeros
2020-08 has 799 (35.8%) zerosZeros
2020-09 has 803 (36.0%) zerosZeros
2020-10 has 807 (36.2%) zerosZeros
2020-11 has 790 (35.4%) zerosZeros
2020-12 has 781 (35.0%) zerosZeros
2021-01 has 809 (36.2%) zerosZeros
2021-02 has 819 (36.7%) zerosZeros
2021-03 has 774 (34.7%) zerosZeros
2021-04 has 769 (34.5%) zerosZeros
2021-05 has 789 (35.3%) zerosZeros
2021-06 has 774 (34.7%) zerosZeros
2021-07 has 815 (36.5%) zerosZeros
2021-08 has 803 (36.0%) zerosZeros
2021-09 has 821 (36.8%) zerosZeros
2021-10 has 834 (37.4%) zerosZeros
2021-11 has 811 (36.3%) zerosZeros
2021-12 has 795 (35.6%) zerosZeros
2022-01 has 841 (37.7%) zerosZeros
2022-02 has 850 (38.1%) zerosZeros
2022-03 has 807 (36.2%) zerosZeros
2022-04 has 836 (37.5%) zerosZeros
2022-05 has 815 (36.5%) zerosZeros
2022-06 has 818 (36.6%) zerosZeros
2022-07 has 872 (39.1%) zerosZeros

Reproduction

Analysis started2023-12-12 04:31:34.323751
Analysis finished2023-12-12 04:31:34.902447
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct2232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
2023-12-12T13:31:35.056568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length15.78629
Min length7

Characters and Unicode

Total characters35235
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

Unique2232 ?
Unique (%)100.0%

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%
경북 200
 
4.4%
서울 200
 
4.4%
경남 184
 
4.0%
전남 176
 
3.8%
강원 144
 
3.1%
충남 136
 
3.0%
부산 128
 
2.8%
전북 128
 
2.8%
충북 120
 
2.6%
Other values (2058) 2776
60.7%
2023-12-12T13:31:35.555527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3914
 
11.1%
역 3627
 
10.3%
시 2562
 
7.3%
2344
 
6.7%
/ 2232
 
6.3%
도 1993
 
5.7%
_ 1674
 
4.8%
구 1199
 
3.4%
경 1095
 
3.1%
군 680
 
1.9%
Other values (146) 13915
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28985
82.3%
Space Separator 2344
 
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 1199
 
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) 12021
41.5%
Space Separator
ValueCountFrequency (%)
2344
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2232
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1674
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28985
82.3%
Common 6250
 
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 1199
 
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) 12021
41.5%
Common
ValueCountFrequency (%)
2344
37.5%
/ 2232
35.7%
_ 1674
26.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28985
82.3%
ASCII 6250
 
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 1199
 
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) 12021
41.5%
ASCII
ValueCountFrequency (%)
2344
37.5%
/ 2232
35.7%
_ 1674
26.8%

2019-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct357
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.34319
Minimum0
Maximum52323
Zeros828
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:35.715624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q351
95-th percentile401.5
Maximum52323
Range52323
Interquartile range (IQR)51

Descriptive statistics

Standard deviation1248.4561
Coefficient of variation (CV)9.4334744
Kurtosis1382.6508
Mean132.34319
Median Absolute Deviation (MAD)5
Skewness34.27659
Sum295390
Variance1558642.6
MonotonicityNot monotonic
2023-12-12T13:31:35.902564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 828
37.1%
1 86
 
3.9%
2 72
 
3.2%
3 55
 
2.5%
4 41
 
1.8%
5 39
 
1.7%
7 33
 
1.5%
9 29
 
1.3%
8 26
 
1.2%
6 24
 
1.1%
Other values (347) 999
44.8%
ValueCountFrequency (%)
0 828
37.1%
1 86
 
3.9%
2 72
 
3.2%
3 55
 
2.5%
4 41
 
1.8%
5 39
 
1.7%
6 24
 
1.1%
7 33
 
1.5%
8 26
 
1.2%
9 29
 
1.3%
ValueCountFrequency (%)
52323 1
< 0.1%
12557 1
< 0.1%
12404 1
< 0.1%
11507 1
< 0.1%
7874 1
< 0.1%
6559 1
< 0.1%
5277 1
< 0.1%
4464 1
< 0.1%
4131 1
< 0.1%
3806 1
< 0.1%

2019-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct333
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.07706
Minimum0
Maximum44113
Zeros836
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:36.054940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340
95-th percentile327.45
Maximum44113
Range44113
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1043.8757
Coefficient of variation (CV)9.5700755
Kurtosis1427.156
Mean109.07706
Median Absolute Deviation (MAD)4
Skewness34.938732
Sum243460
Variance1089676.5
MonotonicityNot monotonic
2023-12-12T13:31:36.221688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 836
37.5%
1 114
 
5.1%
2 79
 
3.5%
3 65
 
2.9%
4 40
 
1.8%
5 34
 
1.5%
7 29
 
1.3%
6 28
 
1.3%
8 28
 
1.3%
9 24
 
1.1%
Other values (323) 955
42.8%
ValueCountFrequency (%)
0 836
37.5%
1 114
 
5.1%
2 79
 
3.5%
3 65
 
2.9%
4 40
 
1.8%
5 34
 
1.5%
6 28
 
1.3%
7 29
 
1.3%
8 28
 
1.3%
9 24
 
1.1%
ValueCountFrequency (%)
44113 1
< 0.1%
10140 1
< 0.1%
9868 1
< 0.1%
8737 1
< 0.1%
7427 1
< 0.1%
5163 1
< 0.1%
3727 1
< 0.1%
3653 1
< 0.1%
3218 1
< 0.1%
2799 1
< 0.1%

2019-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct378
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.20161
Minimum0
Maximum52557
Zeros798
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:36.414175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q353
95-th percentile398.45
Maximum52557
Range52557
Interquartile range (IQR)53

Descriptive statistics

Standard deviation1266.6987
Coefficient of variation (CV)9.3001738
Kurtosis1331.1797
Mean136.20161
Median Absolute Deviation (MAD)6
Skewness33.521848
Sum304002
Variance1604525.5
MonotonicityNot monotonic
2023-12-12T13:31:36.590754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 798
35.8%
1 95
 
4.3%
2 90
 
4.0%
3 49
 
2.2%
5 43
 
1.9%
4 38
 
1.7%
6 30
 
1.3%
8 29
 
1.3%
7 27
 
1.2%
10 27
 
1.2%
Other values (368) 1006
45.1%
ValueCountFrequency (%)
0 798
35.8%
1 95
 
4.3%
2 90
 
4.0%
3 49
 
2.2%
4 38
 
1.7%
5 43
 
1.9%
6 30
 
1.3%
7 27
 
1.2%
8 29
 
1.3%
9 12
 
0.5%
ValueCountFrequency (%)
52557 1
< 0.1%
14269 1
< 0.1%
12049 1
< 0.1%
11947 1
< 0.1%
9799 1
< 0.1%
6304 1
< 0.1%
5020 1
< 0.1%
4296 1
< 0.1%
3906 1
< 0.1%
3580 1
< 0.1%

2019-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct375
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.44444
Minimum0
Maximum57721
Zeros805
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:36.737137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q355.25
95-th percentile407.45
Maximum57721
Range57721
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation1367.8695
Coefficient of variation (CV)9.6707193
Kurtosis1419.8421
Mean141.44444
Median Absolute Deviation (MAD)5.5
Skewness34.859048
Sum315704
Variance1871067
MonotonicityNot monotonic
2023-12-12T13:31:36.880323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 805
36.1%
1 116
 
5.2%
2 58
 
2.6%
4 49
 
2.2%
3 48
 
2.2%
5 40
 
1.8%
7 34
 
1.5%
11 29
 
1.3%
6 27
 
1.2%
10 24
 
1.1%
Other values (365) 1002
44.9%
ValueCountFrequency (%)
0 805
36.1%
1 116
 
5.2%
2 58
 
2.6%
3 48
 
2.2%
4 49
 
2.2%
5 40
 
1.8%
6 27
 
1.2%
7 34
 
1.5%
8 22
 
1.0%
9 24
 
1.1%
ValueCountFrequency (%)
57721 1
< 0.1%
13435 1
< 0.1%
12680 1
< 0.1%
12394 1
< 0.1%
9443 1
< 0.1%
7864 1
< 0.1%
4806 1
< 0.1%
4650 1
< 0.1%
3631 1
< 0.1%
3626 1
< 0.1%

2019-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct368
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.5233
Minimum0
Maximum57761
Zeros806
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:37.055141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q352
95-th percentile410.45
Maximum57761
Range57761
Interquartile range (IQR)52

Descriptive statistics

Standard deviation1365.1404
Coefficient of variation (CV)9.7146906
Kurtosis1434.2139
Mean140.5233
Median Absolute Deviation (MAD)6
Skewness35.055083
Sum313648
Variance1863608.2
MonotonicityNot monotonic
2023-12-12T13:31:37.203849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 806
36.1%
1 103
 
4.6%
3 70
 
3.1%
2 59
 
2.6%
6 45
 
2.0%
5 36
 
1.6%
4 36
 
1.6%
9 33
 
1.5%
8 25
 
1.1%
11 24
 
1.1%
Other values (358) 995
44.6%
ValueCountFrequency (%)
0 806
36.1%
1 103
 
4.6%
2 59
 
2.6%
3 70
 
3.1%
4 36
 
1.6%
5 36
 
1.6%
6 45
 
2.0%
7 21
 
0.9%
8 25
 
1.1%
9 33
 
1.5%
ValueCountFrequency (%)
57761 1
< 0.1%
13722 1
< 0.1%
11946 1
< 0.1%
11205 1
< 0.1%
9326 1
< 0.1%
8707 1
< 0.1%
4707 1
< 0.1%
4654 1
< 0.1%
4376 1
< 0.1%
3752 1
< 0.1%

2019-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct351
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.99507
Minimum0
Maximum55196
Zeros814
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:37.687993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q344
95-th percentile395.05
Maximum55196
Range55196
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1288.7671
Coefficient of variation (CV)10.228711
Kurtosis1504.7661
Mean125.99507
Median Absolute Deviation (MAD)5
Skewness36.170473
Sum281221
Variance1660920.7
MonotonicityNot monotonic
2023-12-12T13:31:37.832416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 814
36.5%
1 105
 
4.7%
2 82
 
3.7%
3 60
 
2.7%
4 49
 
2.2%
5 43
 
1.9%
7 31
 
1.4%
9 29
 
1.3%
17 27
 
1.2%
8 26
 
1.2%
Other values (341) 966
43.3%
ValueCountFrequency (%)
0 814
36.5%
1 105
 
4.7%
2 82
 
3.7%
3 60
 
2.7%
4 49
 
2.2%
5 43
 
1.9%
6 22
 
1.0%
7 31
 
1.4%
8 26
 
1.2%
9 29
 
1.3%
ValueCountFrequency (%)
55196 1
< 0.1%
13223 1
< 0.1%
9370 1
< 0.1%
9343 1
< 0.1%
9333 1
< 0.1%
8664 1
< 0.1%
4256 1
< 0.1%
3411 1
< 0.1%
3340 1
< 0.1%
3329 1
< 0.1%

2019-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct370
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.74059
Minimum0
Maximum68424
Zeros814
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:38.027798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q350
95-th percentile483.45
Maximum68424
Range68424
Interquartile range (IQR)50

Descriptive statistics

Standard deviation1595.3812
Coefficient of variation (CV)10.513872
Kurtosis1514.4535
Mean151.74059
Median Absolute Deviation (MAD)5
Skewness36.368898
Sum338685
Variance2545241.3
MonotonicityNot monotonic
2023-12-12T13:31:38.183727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 814
36.5%
1 116
 
5.2%
2 71
 
3.2%
3 49
 
2.2%
5 42
 
1.9%
4 36
 
1.6%
7 30
 
1.3%
6 28
 
1.3%
9 25
 
1.1%
10 24
 
1.1%
Other values (360) 997
44.7%
ValueCountFrequency (%)
0 814
36.5%
1 116
 
5.2%
2 71
 
3.2%
3 49
 
2.2%
4 36
 
1.6%
5 42
 
1.9%
6 28
 
1.3%
7 30
 
1.3%
8 23
 
1.0%
9 25
 
1.1%
ValueCountFrequency (%)
68424 1
< 0.1%
16999 1
< 0.1%
13074 1
< 0.1%
10947 1
< 0.1%
10812 1
< 0.1%
10226 1
< 0.1%
5114 1
< 0.1%
3965 1
< 0.1%
3886 1
< 0.1%
3714 1
< 0.1%

2019-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct366
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.51837
Minimum0
Maximum66327
Zeros827
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:38.332633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q344
95-th percentile454.45
Maximum66327
Range66327
Interquartile range (IQR)44

Descriptive statistics

Standard deviation1538.8033
Coefficient of variation (CV)10.797228
Kurtosis1544.8295
Mean142.51837
Median Absolute Deviation (MAD)4
Skewness36.8472
Sum318101
Variance2367915.6
MonotonicityNot monotonic
2023-12-12T13:31:38.502753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 827
37.1%
1 119
 
5.3%
2 68
 
3.0%
3 53
 
2.4%
4 52
 
2.3%
5 42
 
1.9%
8 33
 
1.5%
6 32
 
1.4%
7 29
 
1.3%
12 23
 
1.0%
Other values (356) 954
42.7%
ValueCountFrequency (%)
0 827
37.1%
1 119
 
5.3%
2 68
 
3.0%
3 53
 
2.4%
4 52
 
2.3%
5 42
 
1.9%
6 32
 
1.4%
7 29
 
1.3%
8 33
 
1.5%
9 16
 
0.7%
ValueCountFrequency (%)
66327 1
< 0.1%
16168 1
< 0.1%
13800 1
< 0.1%
9401 1
< 0.1%
9328 1
< 0.1%
8830 1
< 0.1%
5122 1
< 0.1%
3849 1
< 0.1%
3670 1
< 0.1%
3504 1
< 0.1%

2019-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct351
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.19265
Minimum0
Maximum64168
Zeros852
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:38.654590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q342
95-th percentile442.7
Maximum64168
Range64168
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1483.5415
Coefficient of variation (CV)10.973536
Kurtosis1566.5715
Mean135.19265
Median Absolute Deviation (MAD)4
Skewness37.192911
Sum301750
Variance2200895.4
MonotonicityNot monotonic
2023-12-12T13:31:38.791220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 852
38.2%
1 106
 
4.7%
2 81
 
3.6%
3 50
 
2.2%
5 48
 
2.2%
4 42
 
1.9%
7 37
 
1.7%
11 30
 
1.3%
15 27
 
1.2%
6 24
 
1.1%
Other values (341) 935
41.9%
ValueCountFrequency (%)
0 852
38.2%
1 106
 
4.7%
2 81
 
3.6%
3 50
 
2.2%
4 42
 
1.9%
5 48
 
2.2%
6 24
 
1.1%
7 37
 
1.7%
8 22
 
1.0%
9 24
 
1.1%
ValueCountFrequency (%)
64168 1
< 0.1%
16182 1
< 0.1%
12353 1
< 0.1%
9038 1
< 0.1%
8383 1
< 0.1%
8158 1
< 0.1%
4802 1
< 0.1%
4039 1
< 0.1%
3424 1
< 0.1%
3162 1
< 0.1%

2019-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct385
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.81362
Minimum0
Maximum81406
Zeros833
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:38.985869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q351
95-th percentile540.85
Maximum81406
Range81406
Interquartile range (IQR)51

Descriptive statistics

Standard deviation1882.5093
Coefficient of variation (CV)11.020838
Kurtosis1566.3004
Mean170.81362
Median Absolute Deviation (MAD)5
Skewness37.21668
Sum381256
Variance3543841.1
MonotonicityNot monotonic
2023-12-12T13:31:39.148453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 833
37.3%
1 101
 
4.5%
2 70
 
3.1%
3 53
 
2.4%
4 39
 
1.7%
6 38
 
1.7%
5 38
 
1.7%
7 27
 
1.2%
8 22
 
1.0%
16 21
 
0.9%
Other values (375) 990
44.4%
ValueCountFrequency (%)
0 833
37.3%
1 101
 
4.5%
2 70
 
3.1%
3 53
 
2.4%
4 39
 
1.7%
5 38
 
1.7%
6 38
 
1.7%
7 27
 
1.2%
8 22
 
1.0%
9 17
 
0.8%
ValueCountFrequency (%)
81406 1
< 0.1%
21891 1
< 0.1%
14452 1
< 0.1%
11502 1
< 0.1%
10658 1
< 0.1%
9298 1
< 0.1%
5996 1
< 0.1%
4851 1
< 0.1%
4273 1
< 0.1%
4232 1
< 0.1%

2019-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct382
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.07751
Minimum0
Maximum92100
Zeros814
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:39.336822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q355
95-th percentile634.15
Maximum92100
Range92100
Interquartile range (IQR)55

Descriptive statistics

Standard deviation2129.2751
Coefficient of variation (CV)11.261388
Kurtosis1569.0304
Mean189.07751
Median Absolute Deviation (MAD)6
Skewness37.291984
Sum422021
Variance4533812.6
MonotonicityNot monotonic
2023-12-12T13:31:39.508864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 814
36.5%
1 117
 
5.2%
2 58
 
2.6%
3 55
 
2.5%
6 43
 
1.9%
4 36
 
1.6%
9 34
 
1.5%
7 32
 
1.4%
8 30
 
1.3%
5 28
 
1.3%
Other values (372) 985
44.1%
ValueCountFrequency (%)
0 814
36.5%
1 117
 
5.2%
2 58
 
2.6%
3 55
 
2.5%
4 36
 
1.6%
5 28
 
1.3%
6 43
 
1.9%
7 32
 
1.4%
8 30
 
1.3%
9 34
 
1.5%
ValueCountFrequency (%)
92100 1
< 0.1%
25431 1
< 0.1%
17133 1
< 0.1%
11562 1
< 0.1%
11051 1
< 0.1%
10358 1
< 0.1%
7670 1
< 0.1%
6322 1
< 0.1%
4811 1
< 0.1%
4736 1
< 0.1%

2019-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct424
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.78763
Minimum0
Maximum116466
Zeros820
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:39.661761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q359
95-th percentile769.8
Maximum116466
Range116466
Interquartile range (IQR)59

Descriptive statistics

Standard deviation2689.5444
Coefficient of variation (CV)11.406639
Kurtosis1576.2392
Mean235.78763
Median Absolute Deviation (MAD)7
Skewness37.409415
Sum526278
Variance7233649.1
MonotonicityNot monotonic
2023-12-12T13:31:39.831490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 820
36.7%
1 91
 
4.1%
2 67
 
3.0%
3 48
 
2.2%
5 34
 
1.5%
8 29
 
1.3%
6 28
 
1.3%
11 27
 
1.2%
7 27
 
1.2%
4 26
 
1.2%
Other values (414) 1035
46.4%
ValueCountFrequency (%)
0 820
36.7%
1 91
 
4.1%
2 67
 
3.0%
3 48
 
2.2%
4 26
 
1.2%
5 34
 
1.5%
6 28
 
1.3%
7 27
 
1.2%
8 29
 
1.3%
9 19
 
0.9%
ValueCountFrequency (%)
116466 1
< 0.1%
31996 1
< 0.1%
21887 1
< 0.1%
16017 1
< 0.1%
12459 1
< 0.1%
12119 1
< 0.1%
9990 1
< 0.1%
7516 1
< 0.1%
5708 1
< 0.1%
5495 1
< 0.1%

2020-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct395
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.22805
Minimum0
Maximum100224
Zeros817
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:40.062111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q356
95-th percentile623.45
Maximum100224
Range100224
Interquartile range (IQR)56

Descriptive statistics

Standard deviation2324.3521
Coefficient of variation (CV)11.38116
Kurtosis1553.7209
Mean204.22805
Median Absolute Deviation (MAD)6
Skewness37.151245
Sum455837
Variance5402612.9
MonotonicityNot monotonic
2023-12-12T13:31:40.221791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 817
36.6%
1 108
 
4.8%
2 77
 
3.4%
3 42
 
1.9%
4 42
 
1.9%
9 33
 
1.5%
5 29
 
1.3%
7 28
 
1.3%
10 26
 
1.2%
6 22
 
1.0%
Other values (385) 1008
45.2%
ValueCountFrequency (%)
0 817
36.6%
1 108
 
4.8%
2 77
 
3.4%
3 42
 
1.9%
4 42
 
1.9%
5 29
 
1.3%
6 22
 
1.0%
7 28
 
1.3%
8 22
 
1.0%
9 33
 
1.5%
ValueCountFrequency (%)
100224 1
< 0.1%
30901 1
< 0.1%
16765 1
< 0.1%
12664 1
< 0.1%
10905 1
< 0.1%
10872 1
< 0.1%
7416 1
< 0.1%
7139 1
< 0.1%
4906 1
< 0.1%
4820 1
< 0.1%

2020-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct413
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.78808
Minimum0
Maximum115015
Zeros794
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:40.430095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q358.25
95-th percentile717.7
Maximum115015
Range115015
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation2681.5733
Coefficient of variation (CV)11.619202
Kurtosis1527.9919
Mean230.78808
Median Absolute Deviation (MAD)6
Skewness36.890901
Sum515119
Variance7190835.1
MonotonicityNot monotonic
2023-12-12T13:31:40.669727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 794
35.6%
1 112
 
5.0%
2 62
 
2.8%
3 58
 
2.6%
4 39
 
1.7%
6 37
 
1.7%
5 37
 
1.7%
9 29
 
1.3%
20 23
 
1.0%
11 22
 
1.0%
Other values (403) 1019
45.7%
ValueCountFrequency (%)
0 794
35.6%
1 112
 
5.0%
2 62
 
2.8%
3 58
 
2.6%
4 39
 
1.7%
5 37
 
1.7%
6 37
 
1.7%
7 13
 
0.6%
8 17
 
0.8%
9 29
 
1.3%
ValueCountFrequency (%)
115015 1
< 0.1%
39555 1
< 0.1%
16810 1
< 0.1%
12912 1
< 0.1%
12768 1
< 0.1%
11832 1
< 0.1%
10009 1
< 0.1%
6476 1
< 0.1%
6135 1
< 0.1%
5501 1
< 0.1%

2020-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct423
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.5345
Minimum0
Maximum107010
Zeros779
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:40.868602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q362
95-th percentile670.9
Maximum107010
Range107010
Interquartile range (IQR)62

Descriptive statistics

Standard deviation2504.2637
Coefficient of variation (CV)11.407153
Kurtosis1504.0094
Mean219.5345
Median Absolute Deviation (MAD)7
Skewness36.480223
Sum490001
Variance6271336.6
MonotonicityNot monotonic
2023-12-12T13:31:41.048879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 779
34.9%
1 93
 
4.2%
2 89
 
4.0%
4 50
 
2.2%
3 42
 
1.9%
7 38
 
1.7%
9 33
 
1.5%
6 30
 
1.3%
11 28
 
1.3%
5 26
 
1.2%
Other values (413) 1024
45.9%
ValueCountFrequency (%)
0 779
34.9%
1 93
 
4.2%
2 89
 
4.0%
3 42
 
1.9%
4 50
 
2.2%
5 26
 
1.2%
6 30
 
1.3%
7 38
 
1.7%
8 21
 
0.9%
9 33
 
1.5%
ValueCountFrequency (%)
107010 1
< 0.1%
36039 1
< 0.1%
16533 1
< 0.1%
13825 1
< 0.1%
13048 1
< 0.1%
12345 1
< 0.1%
11744 1
< 0.1%
5932 1
< 0.1%
4774 1
< 0.1%
4581 1
< 0.1%

2020-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct375
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.39068
Minimum0
Maximum73343
Zeros805
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:41.215500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q353.25
95-th percentile482
Maximum73343
Range73343
Interquartile range (IQR)53.25

Descriptive statistics

Standard deviation1702.5305
Coefficient of variation (CV)10.681493
Kurtosis1541.9044
Mean159.39068
Median Absolute Deviation (MAD)6
Skewness36.801722
Sum355760
Variance2898610
MonotonicityNot monotonic
2023-12-12T13:31:41.364115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 805
36.1%
1 114
 
5.1%
2 59
 
2.6%
3 54
 
2.4%
5 44
 
2.0%
8 33
 
1.5%
7 31
 
1.4%
6 29
 
1.3%
4 29
 
1.3%
9 28
 
1.3%
Other values (365) 1006
45.1%
ValueCountFrequency (%)
0 805
36.1%
1 114
 
5.1%
2 59
 
2.6%
3 54
 
2.4%
4 29
 
1.3%
5 44
 
2.0%
6 29
 
1.3%
7 31
 
1.4%
8 33
 
1.5%
9 28
 
1.3%
ValueCountFrequency (%)
73343 1
< 0.1%
19587 1
< 0.1%
11806 1
< 0.1%
10947 1
< 0.1%
9960 1
< 0.1%
9602 1
< 0.1%
7317 1
< 0.1%
5301 1
< 0.1%
4291 1
< 0.1%
4104 1
< 0.1%

2020-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct377
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.71953
Minimum0
Maximum82405
Zeros828
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:41.531991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q354
95-th percentile568.9
Maximum82405
Range82405
Interquartile range (IQR)54

Descriptive statistics

Standard deviation1899.0977
Coefficient of variation (CV)10.995269
Kurtosis1587.396
Mean172.71953
Median Absolute Deviation (MAD)5
Skewness37.524506
Sum385510
Variance3606572
MonotonicityNot monotonic
2023-12-12T13:31:41.672932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 828
37.1%
1 89
 
4.0%
2 74
 
3.3%
3 51
 
2.3%
5 40
 
1.8%
4 39
 
1.7%
6 29
 
1.3%
8 27
 
1.2%
11 25
 
1.1%
12 24
 
1.1%
Other values (367) 1006
45.1%
ValueCountFrequency (%)
0 828
37.1%
1 89
 
4.0%
2 74
 
3.3%
3 51
 
2.3%
4 39
 
1.7%
5 40
 
1.8%
6 29
 
1.3%
7 22
 
1.0%
8 27
 
1.2%
9 23
 
1.0%
ValueCountFrequency (%)
82405 1
< 0.1%
22485 1
< 0.1%
11228 1
< 0.1%
10842 1
< 0.1%
10465 1
< 0.1%
10096 1
< 0.1%
7290 1
< 0.1%
5541 1
< 0.1%
4918 1
< 0.1%
4228 1
< 0.1%

2020-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct429
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264.75448
Minimum0
Maximum135311
Zeros800
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:41.840315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q363
95-th percentile874.8
Maximum135311
Range135311
Interquartile range (IQR)63

Descriptive statistics

Standard deviation3121.3817
Coefficient of variation (CV)11.789722
Kurtosis1588.3591
Mean264.75448
Median Absolute Deviation (MAD)7
Skewness37.726134
Sum590932
Variance9743024
MonotonicityNot monotonic
2023-12-12T13:31:41.987279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 800
35.8%
1 101
 
4.5%
2 61
 
2.7%
3 44
 
2.0%
4 42
 
1.9%
5 36
 
1.6%
7 33
 
1.5%
6 29
 
1.3%
13 22
 
1.0%
18 20
 
0.9%
Other values (419) 1044
46.8%
ValueCountFrequency (%)
0 800
35.8%
1 101
 
4.5%
2 61
 
2.7%
3 44
 
2.0%
4 42
 
1.9%
5 36
 
1.6%
6 29
 
1.3%
7 33
 
1.5%
8 19
 
0.9%
9 18
 
0.8%
ValueCountFrequency (%)
135311 1
< 0.1%
42712 1
< 0.1%
19402 1
< 0.1%
15377 1
< 0.1%
13916 1
< 0.1%
11683 1
< 0.1%
10390 1
< 0.1%
9493 1
< 0.1%
6405 1
< 0.1%
5858 1
< 0.1%

2020-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct448
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.62366
Minimum0
Maximum137964
Zeros768
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:42.413048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q367.25
95-th percentile936.35
Maximum137964
Range137964
Interquartile range (IQR)67.25

Descriptive statistics

Standard deviation3185.4692
Coefficient of variation (CV)11.684493
Kurtosis1579.4714
Mean272.62366
Median Absolute Deviation (MAD)7
Skewness37.524071
Sum608496
Variance10147214
MonotonicityNot monotonic
2023-12-12T13:31:42.542265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 768
34.4%
1 95
 
4.3%
2 67
 
3.0%
4 49
 
2.2%
5 44
 
2.0%
3 44
 
2.0%
8 35
 
1.6%
7 28
 
1.3%
6 27
 
1.2%
13 22
 
1.0%
Other values (438) 1053
47.2%
ValueCountFrequency (%)
0 768
34.4%
1 95
 
4.3%
2 67
 
3.0%
3 44
 
2.0%
4 49
 
2.2%
5 44
 
2.0%
6 27
 
1.2%
7 28
 
1.3%
8 35
 
1.6%
9 18
 
0.8%
ValueCountFrequency (%)
137964 1
< 0.1%
39917 1
< 0.1%
26395 1
< 0.1%
17123 1
< 0.1%
14645 1
< 0.1%
12260 1
< 0.1%
10693 1
< 0.1%
7846 1
< 0.1%
7828 1
< 0.1%
6930 1
< 0.1%

2020-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct382
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.97177
Minimum0
Maximum85058
Zeros799
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:42.683545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q351
95-th percentile589.35
Maximum85058
Range85058
Interquartile range (IQR)51

Descriptive statistics

Standard deviation1969.3617
Coefficient of variation (CV)11.128112
Kurtosis1559.7804
Mean176.97177
Median Absolute Deviation (MAD)6
Skewness37.150291
Sum395001
Variance3878385.5
MonotonicityNot monotonic
2023-12-12T13:31:42.834270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 799
35.8%
1 91
 
4.1%
2 74
 
3.3%
4 49
 
2.2%
3 46
 
2.1%
7 40
 
1.8%
6 39
 
1.7%
5 31
 
1.4%
9 27
 
1.2%
10 25
 
1.1%
Other values (372) 1011
45.3%
ValueCountFrequency (%)
0 799
35.8%
1 91
 
4.1%
2 74
 
3.3%
3 46
 
2.1%
4 49
 
2.2%
5 31
 
1.4%
6 39
 
1.7%
7 40
 
1.8%
8 20
 
0.9%
9 27
 
1.2%
ValueCountFrequency (%)
85058 1
< 0.1%
23434 1
< 0.1%
15116 1
< 0.1%
13134 1
< 0.1%
11416 1
< 0.1%
8422 1
< 0.1%
6220 1
< 0.1%
4922 1
< 0.1%
4785 1
< 0.1%
4565 1
< 0.1%

2020-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct374
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.80063
Minimum0
Maximum81646
Zeros803
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:42.967561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q350
95-th percentile554.7
Maximum81646
Range81646
Interquartile range (IQR)50

Descriptive statistics

Standard deviation1884.7927
Coefficient of variation (CV)11.035045
Kurtosis1577.3466
Mean170.80063
Median Absolute Deviation (MAD)6
Skewness37.38976
Sum381227
Variance3552443.5
MonotonicityNot monotonic
2023-12-12T13:31:43.115577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 803
36.0%
1 88
 
3.9%
2 82
 
3.7%
3 51
 
2.3%
4 39
 
1.7%
7 38
 
1.7%
5 36
 
1.6%
6 35
 
1.6%
8 31
 
1.4%
9 21
 
0.9%
Other values (364) 1008
45.2%
ValueCountFrequency (%)
0 803
36.0%
1 88
 
3.9%
2 82
 
3.7%
3 51
 
2.3%
4 39
 
1.7%
5 36
 
1.6%
6 35
 
1.6%
7 38
 
1.7%
8 31
 
1.4%
9 21
 
0.9%
ValueCountFrequency (%)
81646 1
< 0.1%
22524 1
< 0.1%
11559 1
< 0.1%
11452 1
< 0.1%
11335 1
< 0.1%
9068 1
< 0.1%
7222 1
< 0.1%
5234 1
< 0.1%
4486 1
< 0.1%
4339 1
< 0.1%

2020-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct381
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.45027
Minimum0
Maximum91259
Zeros807
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:43.269623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q351
95-th percentile594.6
Maximum91259
Range91259
Interquartile range (IQR)51

Descriptive statistics

Standard deviation2093.4939
Coefficient of variation (CV)11.411779
Kurtosis1617.2285
Mean183.45027
Median Absolute Deviation (MAD)6
Skewness38.004121
Sum409461
Variance4382716.9
MonotonicityNot monotonic
2023-12-12T13:31:43.407101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 807
36.2%
1 93
 
4.2%
2 64
 
2.9%
3 53
 
2.4%
4 47
 
2.1%
6 42
 
1.9%
5 37
 
1.7%
7 33
 
1.5%
8 28
 
1.3%
14 24
 
1.1%
Other values (371) 1004
45.0%
ValueCountFrequency (%)
0 807
36.2%
1 93
 
4.2%
2 64
 
2.9%
3 53
 
2.4%
4 47
 
2.1%
5 37
 
1.7%
6 42
 
1.9%
7 33
 
1.5%
8 28
 
1.3%
9 20
 
0.9%
ValueCountFrequency (%)
91259 1
< 0.1%
25018 1
< 0.1%
11563 1
< 0.1%
11185 1
< 0.1%
11180 1
< 0.1%
9543 1
< 0.1%
8805 1
< 0.1%
5491 1
< 0.1%
5381 1
< 0.1%
5109 1
< 0.1%

2020-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct425
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.37634
Minimum0
Maximum114925
Zeros790
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:43.535689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q365
95-th percentile729.8
Maximum114925
Range114925
Interquartile range (IQR)65

Descriptive statistics

Standard deviation2622.4633
Coefficient of variation (CV)11.334189
Kurtosis1647.3531
Mean231.37634
Median Absolute Deviation (MAD)7
Skewness38.339797
Sum516432
Variance6877313.9
MonotonicityNot monotonic
2023-12-12T13:31:43.679032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 790
35.4%
1 96
 
4.3%
2 80
 
3.6%
3 55
 
2.5%
4 37
 
1.7%
5 31
 
1.4%
7 31
 
1.4%
12 26
 
1.2%
10 24
 
1.1%
6 22
 
1.0%
Other values (415) 1040
46.6%
ValueCountFrequency (%)
0 790
35.4%
1 96
 
4.3%
2 80
 
3.6%
3 55
 
2.5%
4 37
 
1.7%
5 31
 
1.4%
6 22
 
1.0%
7 31
 
1.4%
8 19
 
0.9%
9 21
 
0.9%
ValueCountFrequency (%)
114925 1
< 0.1%
25431 1
< 0.1%
18489 1
< 0.1%
14850 1
< 0.1%
13107 1
< 0.1%
11945 1
< 0.1%
10955 1
< 0.1%
9511 1
< 0.1%
7299 1
< 0.1%
6395 1
< 0.1%

2020-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct458
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.40636
Minimum0
Maximum138211
Zeros781
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:43.821792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q377
95-th percentile960
Maximum138211
Range138211
Interquartile range (IQR)77

Descriptive statistics

Standard deviation3175.7935
Coefficient of variation (CV)11.205795
Kurtosis1606.4066
Mean283.40636
Median Absolute Deviation (MAD)8
Skewness37.825908
Sum632563
Variance10085664
MonotonicityNot monotonic
2023-12-12T13:31:43.970252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 781
35.0%
1 86
 
3.9%
2 78
 
3.5%
3 40
 
1.8%
5 35
 
1.6%
4 35
 
1.6%
7 27
 
1.2%
9 26
 
1.2%
6 23
 
1.0%
14 20
 
0.9%
Other values (448) 1081
48.4%
ValueCountFrequency (%)
0 781
35.0%
1 86
 
3.9%
2 78
 
3.5%
3 40
 
1.8%
4 35
 
1.6%
5 35
 
1.6%
6 23
 
1.0%
7 27
 
1.2%
8 20
 
0.9%
9 26
 
1.2%
ValueCountFrequency (%)
138211 1
< 0.1%
37848 1
< 0.1%
18595 1
< 0.1%
16704 1
< 0.1%
16677 1
< 0.1%
15128 1
< 0.1%
12275 1
< 0.1%
10129 1
< 0.1%
8193 1
< 0.1%
7946 1
< 0.1%

2021-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct413
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.20116
Minimum0
Maximum91121
Zeros809
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:44.126061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q361
95-th percentile624.7
Maximum91121
Range91121
Interquartile range (IQR)61

Descriptive statistics

Standard deviation2120.6873
Coefficient of variation (CV)10.864112
Kurtosis1530.1008
Mean195.20116
Median Absolute Deviation (MAD)6
Skewness36.725987
Sum435689
Variance4497314.8
MonotonicityNot monotonic
2023-12-12T13:31:44.249810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 809
36.2%
1 96
 
4.3%
2 61
 
2.7%
3 49
 
2.2%
4 42
 
1.9%
6 36
 
1.6%
5 33
 
1.5%
7 28
 
1.3%
8 26
 
1.2%
12 25
 
1.1%
Other values (403) 1027
46.0%
ValueCountFrequency (%)
0 809
36.2%
1 96
 
4.3%
2 61
 
2.7%
3 49
 
2.2%
4 42
 
1.9%
5 33
 
1.5%
6 36
 
1.6%
7 28
 
1.3%
8 26
 
1.2%
9 21
 
0.9%
ValueCountFrequency (%)
91121 1
< 0.1%
27248 1
< 0.1%
13050 1
< 0.1%
13000 1
< 0.1%
12893 1
< 0.1%
12140 1
< 0.1%
7242 1
< 0.1%
5742 1
< 0.1%
5434 1
< 0.1%
4640 1
< 0.1%

2021-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct406
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.24821
Minimum0
Maximum86668
Zeros819
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:44.377901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q356
95-th percentile572.35
Maximum86668
Range86668
Interquartile range (IQR)56

Descriptive statistics

Standard deviation2024.1051
Coefficient of variation (CV)10.867783
Kurtosis1510.0398
Mean186.24821
Median Absolute Deviation (MAD)5
Skewness36.434996
Sum415706
Variance4097001.4
MonotonicityNot monotonic
2023-12-12T13:31:44.496852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 819
36.7%
1 94
 
4.2%
2 70
 
3.1%
3 66
 
3.0%
4 49
 
2.2%
5 30
 
1.3%
6 28
 
1.3%
7 25
 
1.1%
12 23
 
1.0%
8 21
 
0.9%
Other values (396) 1007
45.1%
ValueCountFrequency (%)
0 819
36.7%
1 94
 
4.2%
2 70
 
3.1%
3 66
 
3.0%
4 49
 
2.2%
5 30
 
1.3%
6 28
 
1.3%
7 25
 
1.1%
8 21
 
0.9%
9 14
 
0.6%
ValueCountFrequency (%)
86668 1
< 0.1%
26422 1
< 0.1%
13224 1
< 0.1%
12524 1
< 0.1%
12397 1
< 0.1%
11733 1
< 0.1%
7762 1
< 0.1%
5352 1
< 0.1%
4820 1
< 0.1%
4758 1
< 0.1%

2021-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct450
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.71505
Minimum0
Maximum102247
Zeros774
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:44.623152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q375
95-th percentile664.7
Maximum102247
Range102247
Interquartile range (IQR)75

Descriptive statistics

Standard deviation2384.1235
Coefficient of variation (CV)10.42399
Kurtosis1514.9118
Mean228.71505
Median Absolute Deviation (MAD)8
Skewness36.383071
Sum510492
Variance5684045
MonotonicityNot monotonic
2023-12-12T13:31:44.750588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 774
34.7%
1 84
 
3.8%
2 65
 
2.9%
3 45
 
2.0%
4 35
 
1.6%
5 35
 
1.6%
7 31
 
1.4%
9 30
 
1.3%
11 27
 
1.2%
6 26
 
1.2%
Other values (440) 1080
48.4%
ValueCountFrequency (%)
0 774
34.7%
1 84
 
3.8%
2 65
 
2.9%
3 45
 
2.0%
4 35
 
1.6%
5 35
 
1.6%
6 26
 
1.2%
7 31
 
1.4%
8 22
 
1.0%
9 30
 
1.3%
ValueCountFrequency (%)
102247 1
< 0.1%
27507 1
< 0.1%
17373 1
< 0.1%
16534 1
< 0.1%
15076 1
< 0.1%
12175 1
< 0.1%
9941 1
< 0.1%
6707 1
< 0.1%
6212 1
< 0.1%
6034 1
< 0.1%

2021-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct439
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.24059
Minimum0
Maximum93101
Zeros769
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:44.931819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q374
95-th percentile629.6
Maximum93101
Range93101
Interquartile range (IQR)74

Descriptive statistics

Standard deviation2174.8239
Coefficient of variation (CV)10.295483
Kurtosis1502.7549
Mean211.24059
Median Absolute Deviation (MAD)8
Skewness36.162281
Sum471489
Variance4729859.1
MonotonicityNot monotonic
2023-12-12T13:31:45.106175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 769
34.5%
1 96
 
4.3%
2 56
 
2.5%
3 53
 
2.4%
4 43
 
1.9%
7 35
 
1.6%
10 32
 
1.4%
6 31
 
1.4%
5 31
 
1.4%
8 22
 
1.0%
Other values (429) 1064
47.7%
ValueCountFrequency (%)
0 769
34.5%
1 96
 
4.3%
2 56
 
2.5%
3 53
 
2.4%
4 43
 
1.9%
5 31
 
1.4%
6 31
 
1.4%
7 35
 
1.6%
8 22
 
1.0%
9 18
 
0.8%
ValueCountFrequency (%)
93101 1
< 0.1%
23395 1
< 0.1%
16494 1
< 0.1%
15824 1
< 0.1%
14762 1
< 0.1%
12902 1
< 0.1%
8631 1
< 0.1%
6923 1
< 0.1%
5911 1
< 0.1%
5910 1
< 0.1%

2021-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct426
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.13172
Minimum0
Maximum96264
Zeros789
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:45.251476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q365
95-th percentile647.8
Maximum96264
Range96264
Interquartile range (IQR)65

Descriptive statistics

Standard deviation2229.8891
Coefficient of variation (CV)10.713836
Kurtosis1553.7266
Mean208.13172
Median Absolute Deviation (MAD)7
Skewness36.959729
Sum464550
Variance4972405.4
MonotonicityNot monotonic
2023-12-12T13:31:45.394150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 789
35.3%
1 79
 
3.5%
2 74
 
3.3%
3 48
 
2.2%
5 38
 
1.7%
4 37
 
1.7%
12 30
 
1.3%
8 30
 
1.3%
6 28
 
1.3%
7 27
 
1.2%
Other values (416) 1052
47.1%
ValueCountFrequency (%)
0 789
35.3%
1 79
 
3.5%
2 74
 
3.3%
3 48
 
2.2%
4 37
 
1.7%
5 38
 
1.7%
6 28
 
1.3%
7 27
 
1.2%
8 30
 
1.3%
9 26
 
1.2%
ValueCountFrequency (%)
96264 1
< 0.1%
24174 1
< 0.1%
15657 1
< 0.1%
15503 1
< 0.1%
14160 1
< 0.1%
11271 1
< 0.1%
8802 1
< 0.1%
7942 1
< 0.1%
6334 1
< 0.1%
5771 1
< 0.1%

2021-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct415
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.7397
Minimum0
Maximum90194
Zeros774
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:45.516223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q362
95-th percentile615.8
Maximum90194
Range90194
Interquartile range (IQR)62

Descriptive statistics

Standard deviation2085.2561
Coefficient of variation (CV)10.707915
Kurtosis1565.3724
Mean194.7397
Median Absolute Deviation (MAD)7
Skewness37.130096
Sum434659
Variance4348293.1
MonotonicityNot monotonic
2023-12-12T13:31:45.634597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 774
34.7%
1 77
 
3.4%
2 75
 
3.4%
4 54
 
2.4%
3 50
 
2.2%
5 36
 
1.6%
7 34
 
1.5%
6 27
 
1.2%
9 27
 
1.2%
8 24
 
1.1%
Other values (405) 1054
47.2%
ValueCountFrequency (%)
0 774
34.7%
1 77
 
3.4%
2 75
 
3.4%
3 50
 
2.2%
4 54
 
2.4%
5 36
 
1.6%
6 27
 
1.2%
7 34
 
1.5%
8 24
 
1.1%
9 27
 
1.2%
ValueCountFrequency (%)
90194 1
< 0.1%
22498 1
< 0.1%
14964 1
< 0.1%
13594 1
< 0.1%
13047 1
< 0.1%
9992 1
< 0.1%
7525 1
< 0.1%
7477 1
< 0.1%
6060 1
< 0.1%
5861 1
< 0.1%

2021-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct395
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.73746
Minimum0
Maximum90043
Zeros815
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:45.746928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q358
95-th percentile592.45
Maximum90043
Range90043
Interquartile range (IQR)58

Descriptive statistics

Standard deviation2082.0459
Coefficient of variation (CV)10.915768
Kurtosis1566.4715
Mean190.73746
Median Absolute Deviation (MAD)7
Skewness37.201525
Sum425726
Variance4334915.1
MonotonicityNot monotonic
2023-12-12T13:31:45.865679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 815
36.5%
1 89
 
4.0%
2 68
 
3.0%
4 41
 
1.8%
5 36
 
1.6%
3 33
 
1.5%
7 30
 
1.3%
6 30
 
1.3%
12 27
 
1.2%
10 26
 
1.2%
Other values (385) 1037
46.5%
ValueCountFrequency (%)
0 815
36.5%
1 89
 
4.0%
2 68
 
3.0%
3 33
 
1.5%
4 41
 
1.8%
5 36
 
1.6%
6 30
 
1.3%
7 30
 
1.3%
8 23
 
1.0%
9 22
 
1.0%
ValueCountFrequency (%)
90043 1
< 0.1%
24280 1
< 0.1%
13953 1
< 0.1%
13867 1
< 0.1%
11956 1
< 0.1%
9313 1
< 0.1%
7118 1
< 0.1%
6924 1
< 0.1%
6051 1
< 0.1%
5317 1
< 0.1%

2021-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct398
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.1586
Minimum0
Maximum89252
Zeros803
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:45.983613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q353
95-th percentile582.9
Maximum89252
Range89252
Interquartile range (IQR)53

Descriptive statistics

Standard deviation2056.7354
Coefficient of variation (CV)10.989264
Kurtosis1586.6089
Mean187.1586
Median Absolute Deviation (MAD)6
Skewness37.478926
Sum417738
Variance4230160.4
MonotonicityNot monotonic
2023-12-12T13:31:46.115348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 803
36.0%
1 103
 
4.6%
2 69
 
3.1%
4 51
 
2.3%
5 47
 
2.1%
3 42
 
1.9%
6 32
 
1.4%
8 31
 
1.4%
11 28
 
1.3%
7 23
 
1.0%
Other values (388) 1003
44.9%
ValueCountFrequency (%)
0 803
36.0%
1 103
 
4.6%
2 69
 
3.1%
3 42
 
1.9%
4 51
 
2.3%
5 47
 
2.1%
6 32
 
1.4%
7 23
 
1.0%
8 31
 
1.4%
9 16
 
0.7%
ValueCountFrequency (%)
89252 1
< 0.1%
22934 1
< 0.1%
13757 1
< 0.1%
13598 1
< 0.1%
11851 1
< 0.1%
8418 1
< 0.1%
6938 1
< 0.1%
6715 1
< 0.1%
6289 1
< 0.1%
5586 1
< 0.1%

2021-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct386
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.63396
Minimum0
Maximum81199
Zeros821
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:46.692417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q349
95-th percentile543.45
Maximum81199
Range81199
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1870.1512
Coefficient of variation (CV)10.960018
Kurtosis1589.5941
Mean170.63396
Median Absolute Deviation (MAD)6
Skewness37.512969
Sum380855
Variance3497465.5
MonotonicityNot monotonic
2023-12-12T13:31:46.846747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 821
36.8%
1 97
 
4.3%
2 71
 
3.2%
4 48
 
2.2%
3 45
 
2.0%
7 40
 
1.8%
6 37
 
1.7%
5 33
 
1.5%
10 31
 
1.4%
8 22
 
1.0%
Other values (376) 987
44.2%
ValueCountFrequency (%)
0 821
36.8%
1 97
 
4.3%
2 71
 
3.2%
3 45
 
2.0%
4 48
 
2.2%
5 33
 
1.5%
6 37
 
1.7%
7 40
 
1.8%
8 22
 
1.0%
9 20
 
0.9%
ValueCountFrequency (%)
81199 1
< 0.1%
20485 1
< 0.1%
13395 1
< 0.1%
11593 1
< 0.1%
10442 1
< 0.1%
7443 1
< 0.1%
7225 1
< 0.1%
6754 1
< 0.1%
5506 1
< 0.1%
4496 1
< 0.1%

2021-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct389
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.51478
Minimum0
Maximum75342
Zeros834
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:47.073135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q352
95-th percentile497.7
Maximum75342
Range75342
Interquartile range (IQR)52

Descriptive statistics

Standard deviation1738.5999
Coefficient of variation (CV)10.632677
Kurtosis1575.5675
Mean163.51478
Median Absolute Deviation (MAD)5
Skewness37.233625
Sum364965
Variance3022729.6
MonotonicityNot monotonic
2023-12-12T13:31:47.272175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 834
37.4%
1 92
 
4.1%
2 66
 
3.0%
3 54
 
2.4%
4 41
 
1.8%
6 35
 
1.6%
8 33
 
1.5%
5 31
 
1.4%
7 26
 
1.2%
12 23
 
1.0%
Other values (379) 997
44.7%
ValueCountFrequency (%)
0 834
37.4%
1 92
 
4.1%
2 66
 
3.0%
3 54
 
2.4%
4 41
 
1.8%
5 31
 
1.4%
6 35
 
1.6%
7 26
 
1.2%
8 33
 
1.5%
9 21
 
0.9%
ValueCountFrequency (%)
75342 1
< 0.1%
17060 1
< 0.1%
13263 1
< 0.1%
12261 1
< 0.1%
9143 1
< 0.1%
8145 1
< 0.1%
6562 1
< 0.1%
6472 1
< 0.1%
5979 1
< 0.1%
4749 1
< 0.1%

2021-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct399
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.68638
Minimum0
Maximum67286
Zeros811
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:47.445082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q360.25
95-th percentile469.9
Maximum67286
Range67286
Interquartile range (IQR)60.25

Descriptive statistics

Standard deviation1576.6197
Coefficient of variation (CV)9.8732256
Kurtosis1483.1998
Mean159.68638
Median Absolute Deviation (MAD)6
Skewness35.818171
Sum356420
Variance2485729.5
MonotonicityNot monotonic
2023-12-12T13:31:47.588980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 811
36.3%
1 84
 
3.8%
3 54
 
2.4%
2 51
 
2.3%
4 45
 
2.0%
6 44
 
2.0%
5 39
 
1.7%
10 30
 
1.3%
7 29
 
1.3%
8 22
 
1.0%
Other values (389) 1023
45.8%
ValueCountFrequency (%)
0 811
36.3%
1 84
 
3.8%
2 51
 
2.3%
3 54
 
2.4%
4 45
 
2.0%
5 39
 
1.7%
6 44
 
2.0%
7 29
 
1.3%
8 22
 
1.0%
9 11
 
0.5%
ValueCountFrequency (%)
67286 1
< 0.1%
14326 1
< 0.1%
13988 1
< 0.1%
13323 1
< 0.1%
10804 1
< 0.1%
8980 1
< 0.1%
5832 1
< 0.1%
4706 1
< 0.1%
4533 1
< 0.1%
4507 1
< 0.1%

2021-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct396
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.46416
Minimum0
Maximum57714
Zeros795
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:47.761842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q368
95-th percentile425
Maximum57714
Range57714
Interquartile range (IQR)68

Descriptive statistics

Standard deviation1395.6587
Coefficient of variation (CV)9.2144487
Kurtosis1314.3917
Mean151.46416
Median Absolute Deviation (MAD)7
Skewness33.288487
Sum338068
Variance1947863.2
MonotonicityNot monotonic
2023-12-12T13:31:47.919717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 795
35.6%
1 89
 
4.0%
3 65
 
2.9%
2 62
 
2.8%
4 43
 
1.9%
9 34
 
1.5%
7 29
 
1.3%
8 27
 
1.2%
6 25
 
1.1%
5 22
 
1.0%
Other values (386) 1041
46.6%
ValueCountFrequency (%)
0 795
35.6%
1 89
 
4.0%
2 62
 
2.8%
3 65
 
2.9%
4 43
 
1.9%
5 22
 
1.0%
6 25
 
1.1%
7 29
 
1.3%
8 27
 
1.2%
9 34
 
1.5%
ValueCountFrequency (%)
57714 1
< 0.1%
15678 1
< 0.1%
13475 1
< 0.1%
13007 1
< 0.1%
12041 1
< 0.1%
7708 1
< 0.1%
5591 1
< 0.1%
4644 1
< 0.1%
4130 1
< 0.1%
3937 1
< 0.1%

2022-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct340
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.71461
Minimum0
Maximum44812
Zeros841
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:48.073063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q349
95-th percentile334.35
Maximum44812
Range44812
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1075.2698
Coefficient of variation (CV)9.3734345
Kurtosis1353.57
Mean114.71461
Median Absolute Deviation (MAD)5
Skewness33.869397
Sum256043
Variance1156205.2
MonotonicityNot monotonic
2023-12-12T13:31:48.248534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 841
37.7%
1 90
 
4.0%
2 71
 
3.2%
3 63
 
2.8%
4 43
 
1.9%
5 41
 
1.8%
6 32
 
1.4%
7 28
 
1.3%
12 25
 
1.1%
8 25
 
1.1%
Other values (330) 973
43.6%
ValueCountFrequency (%)
0 841
37.7%
1 90
 
4.0%
2 71
 
3.2%
3 63
 
2.8%
4 43
 
1.9%
5 41
 
1.8%
6 32
 
1.4%
7 28
 
1.3%
8 25
 
1.1%
9 21
 
0.9%
ValueCountFrequency (%)
44812 1
< 0.1%
11568 1
< 0.1%
10094 1
< 0.1%
9492 1
< 0.1%
9117 1
< 0.1%
6249 1
< 0.1%
4042 1
< 0.1%
3543 1
< 0.1%
2957 1
< 0.1%
2917 1
< 0.1%

2022-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct336
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.76344
Minimum0
Maximum43810
Zeros850
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:48.461766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346
95-th percentile300.9
Maximum43810
Range43810
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1049.5962
Coefficient of variation (CV)9.3912297
Kurtosis1361.2596
Mean111.76344
Median Absolute Deviation (MAD)4
Skewness33.973215
Sum249456
Variance1101652.1
MonotonicityNot monotonic
2023-12-12T13:31:48.611365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 850
38.1%
1 108
 
4.8%
2 85
 
3.8%
3 50
 
2.2%
4 49
 
2.2%
5 38
 
1.7%
10 28
 
1.3%
7 27
 
1.2%
6 26
 
1.2%
9 21
 
0.9%
Other values (326) 950
42.6%
ValueCountFrequency (%)
0 850
38.1%
1 108
 
4.8%
2 85
 
3.8%
3 50
 
2.2%
4 49
 
2.2%
5 38
 
1.7%
6 26
 
1.2%
7 27
 
1.2%
8 18
 
0.8%
9 21
 
0.9%
ValueCountFrequency (%)
43810 1
< 0.1%
10243 1
< 0.1%
10063 1
< 0.1%
9872 1
< 0.1%
9137 1
< 0.1%
5586 1
< 0.1%
3844 1
< 0.1%
3595 1
< 0.1%
3185 1
< 0.1%
2710 1
< 0.1%

2022-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct369
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.55332
Minimum0
Maximum53715
Zeros807
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:48.761805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q355.25
95-th percentile358.9
Maximum53715
Range53715
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation1277.4695
Coefficient of variation (CV)9.4941509
Kurtosis1400.0895
Mean134.55332
Median Absolute Deviation (MAD)6
Skewness34.552179
Sum300323
Variance1631928.3
MonotonicityNot monotonic
2023-12-12T13:31:48.927688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 807
36.2%
1 113
 
5.1%
2 69
 
3.1%
3 50
 
2.2%
4 45
 
2.0%
6 42
 
1.9%
9 33
 
1.5%
5 31
 
1.4%
7 27
 
1.2%
8 24
 
1.1%
Other values (359) 991
44.4%
ValueCountFrequency (%)
0 807
36.2%
1 113
 
5.1%
2 69
 
3.1%
3 50
 
2.2%
4 45
 
2.0%
5 31
 
1.4%
6 42
 
1.9%
7 27
 
1.2%
8 24
 
1.1%
9 33
 
1.5%
ValueCountFrequency (%)
53715 1
< 0.1%
12104 1
< 0.1%
11665 1
< 0.1%
11394 1
< 0.1%
11236 1
< 0.1%
6174 1
< 0.1%
4890 1
< 0.1%
3684 1
< 0.1%
3606 1
< 0.1%
3314 1
< 0.1%

2022-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct382
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.82124
Minimum0
Maximum59398
Zeros836
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:49.092234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q357
95-th percentile405.8
Maximum59398
Range59398
Interquartile range (IQR)57

Descriptive statistics

Standard deviation1400.4212
Coefficient of variation (CV)9.8054131
Kurtosis1448.2879
Mean142.82124
Median Absolute Deviation (MAD)5
Skewness35.297649
Sum318777
Variance1961179.6
MonotonicityNot monotonic
2023-12-12T13:31:49.262569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 836
37.5%
1 103
 
4.6%
2 63
 
2.8%
4 53
 
2.4%
3 49
 
2.2%
5 37
 
1.7%
6 35
 
1.6%
7 24
 
1.1%
8 23
 
1.0%
12 22
 
1.0%
Other values (372) 987
44.2%
ValueCountFrequency (%)
0 836
37.5%
1 103
 
4.6%
2 63
 
2.8%
3 49
 
2.2%
4 53
 
2.4%
5 37
 
1.7%
6 35
 
1.6%
7 24
 
1.1%
8 23
 
1.0%
9 21
 
0.9%
ValueCountFrequency (%)
59398 1
< 0.1%
13524 1
< 0.1%
12442 1
< 0.1%
12082 1
< 0.1%
10378 1
< 0.1%
7820 1
< 0.1%
4936 1
< 0.1%
4114 1
< 0.1%
4086 1
< 0.1%
3828 1
< 0.1%

2022-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct376
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.07796
Minimum0
Maximum63998
Zeros815
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:49.453817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q355
95-th percentile434.9
Maximum63998
Range63998
Interquartile range (IQR)55

Descriptive statistics

Standard deviation1497.0561
Coefficient of variation (CV)10.109919
Kurtosis1493.5006
Mean148.07796
Median Absolute Deviation (MAD)5
Skewness35.986283
Sum330510
Variance2241176.9
MonotonicityNot monotonic
2023-12-12T13:31:49.619495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 815
36.5%
1 102
 
4.6%
2 66
 
3.0%
3 60
 
2.7%
4 48
 
2.2%
7 37
 
1.7%
5 34
 
1.5%
8 29
 
1.3%
9 27
 
1.2%
6 25
 
1.1%
Other values (366) 989
44.3%
ValueCountFrequency (%)
0 815
36.5%
1 102
 
4.6%
2 66
 
3.0%
3 60
 
2.7%
4 48
 
2.2%
5 34
 
1.5%
6 25
 
1.1%
7 37
 
1.7%
8 29
 
1.3%
9 27
 
1.2%
ValueCountFrequency (%)
63998 1
< 0.1%
14175 1
< 0.1%
13177 1
< 0.1%
12446 1
< 0.1%
8854 1
< 0.1%
8840 1
< 0.1%
4951 1
< 0.1%
4811 1
< 0.1%
4757 1
< 0.1%
4429 1
< 0.1%

2022-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct351
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.86962
Minimum0
Maximum51712
Zeros818
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:49.764135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q351.25
95-th percentile364.45
Maximum51712
Range51712
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation1221.8156
Coefficient of variation (CV)9.7847301
Kurtosis1436.6052
Mean124.86962
Median Absolute Deviation (MAD)5
Skewness35.129395
Sum278709
Variance1492833.3
MonotonicityNot monotonic
2023-12-12T13:31:49.928099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 818
36.6%
1 116
 
5.2%
2 63
 
2.8%
3 60
 
2.7%
4 46
 
2.1%
8 33
 
1.5%
7 31
 
1.4%
5 29
 
1.3%
13 24
 
1.1%
29 24
 
1.1%
Other values (341) 988
44.3%
ValueCountFrequency (%)
0 818
36.6%
1 116
 
5.2%
2 63
 
2.8%
3 60
 
2.7%
4 46
 
2.1%
5 29
 
1.3%
6 18
 
0.8%
7 31
 
1.4%
8 33
 
1.5%
9 24
 
1.1%
ValueCountFrequency (%)
51712 1
< 0.1%
11763 1
< 0.1%
11411 1
< 0.1%
10913 1
< 0.1%
7854 1
< 0.1%
7807 1
< 0.1%
3880 1
< 0.1%
3738 1
< 0.1%
3588 1
< 0.1%
3405 1
< 0.1%

2022-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct322
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.75896
Minimum0
Maximum40638
Zeros872
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-12T13:31:50.078426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q341
95-th percentile280.15
Maximum40638
Range40638
Interquartile range (IQR)41

Descriptive statistics

Standard deviation969.39705
Coefficient of variation (CV)9.6209512
Kurtosis1385.4403
Mean100.75896
Median Absolute Deviation (MAD)4
Skewness34.385512
Sum224894
Variance939730.64
MonotonicityNot monotonic
2023-12-12T13:31:50.238803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 872
39.1%
1 108
 
4.8%
2 72
 
3.2%
3 55
 
2.5%
4 44
 
2.0%
5 38
 
1.7%
7 34
 
1.5%
6 32
 
1.4%
9 27
 
1.2%
11 27
 
1.2%
Other values (312) 923
41.4%
ValueCountFrequency (%)
0 872
39.1%
1 108
 
4.8%
2 72
 
3.2%
3 55
 
2.5%
4 44
 
2.0%
5 38
 
1.7%
6 32
 
1.4%
7 34
 
1.5%
8 15
 
0.7%
9 27
 
1.2%
ValueCountFrequency (%)
40638 1
< 0.1%
9969 1
< 0.1%
9648 1
< 0.1%
9202 1
< 0.1%
6504 1
< 0.1%
5825 1
< 0.1%
3352 1
< 0.1%
2974 1
< 0.1%
2589 1
< 0.1%
2530 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_주거지역52323441135255757721577615519668424663276416881406921001164661002241150151070107334382405135311137964850588164691259114925138211911218666810224793101962649019490043892528119975342672865771444812438105371559398639985171240638
1전국/도시지역_상업지역7874742797999443932686641094793289038115021156216017126641291213048960210465153771712313134113351156314850185951300012397150761582415503135941386713598133951326313988134751009410063112361244213177114119202
2전국/도시지역_공업지역2169165021902587225422152451273723312787311333512847333933602352251537114160287928492514308340403835338244973631351434313147301131732899305430522515207028772768290728282154
3전국/도시지역_녹지지역115078737120491239411946934310812940183831065811051124591090511832123451094711228139161464511416115591118513107167041289312524165341649415657149641395313757115931226113323156781156810243116651208212446109139969
4전국/도시지역_개발제한구역5277365335803626470726182709254620133093293930253129302531902847288938224640221921042225264030352518251131072830224723302080156415361417201520371485142117311758153316901477
5전국/도시지역_용도미지정6234375335516385965493964145345767011065728754102170410601010724886713102110456467179581005102211037429059547837501057644578568620606507497
6전국/농림지역125571014014269126801120593701022688308158929810358121191087212768138251180610096103901069384229068880511945151281214011733173731476211271999293138418722581451080413007911798721210410378884078546504
7전국/자연환경보전지역93866112348048247547596105386575616536006427055997157896995975467398258346857411030101389010958848406137339209397036158289037961000551
8서울/도시지역_주거지역655951636304786487079333130741380012353144521713321887167651681016533996010842194022639515116114521118010955166771305013224121751290214160130471195611851104429143898077086249558661747820885478075825
9서울/도시지역_상업지역1352122322301501191015992367194018282608244340592584246727451597158127922868250819191896188830652125233926692645251922232659239422922243226025661809178518212151244820201900
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/농림지역0000001000000000000200000002001000000010001
2223제주 제주시/자연환경보전지역1110110426101191311800314101025823193131113
2224제주 서귀포시/도시지역_주거지역148119131147154101112103104139135161176167162116139245269105141184201259258260252218234276233226171171219218186162207220251167122
2225제주 서귀포시/도시지역_상업지역41292825231019522215182252205817304122089154010537442438342082658254227574232283350597120
2226제주 서귀포시/도시지역_공업지역0000010000000101000001010100000041280101010
2227제주 서귀포시/도시지역_녹지지역168142183194198126174139175193163197149137179170168179194206168147187233225242222251224238257180199211240299216157259277232205163
2228제주 서귀포시/도시지역_개발제한구역0000000000000000000000000000000000000000000
2229제주 서귀포시/도시지역_용도미지정0001000000000100002000060000000000000010000
2230제주 서귀포시/농림지역0000000000000070200000000000001000000000000
2231제주 서귀포시/자연환경보전지역0010000000000000110000000000000200000300000