Overview

Dataset statistics

Number of variables20
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.4 KiB
Average record size in memory179.8 B

Variable types

Text1
Numeric19

Dataset

Description대검찰청에서 발간하는 범죄분석은 3종의 범죄통계원표를 기반으로 작성하는 자료이며 이 중 본 데이터는 범죄자의 생활정도, 혼인관계, 미혼자일 경우 부모관계에 따른 형법/특별법범의 통계임. (단위: 명)
Author대검찰청
URLhttps://www.data.go.kr/data/15085996/fileData.do

Alerts

생활정도_하류 is highly overall correlated with 생활정도_중류 and 17 other fieldsHigh correlation
생활정도_중류 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
생활정도_상류 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
생활정도_미상 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
유배우자 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
동거 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
이혼 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
사별 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
혼인관계_미상 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
실(양)부모 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
계부모 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
실부계모 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
실부무모 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
실모계부 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
실모무부 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
계부무모 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
계모무부 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
무부모 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
미혼자부모관계_미상 is highly overall correlated with 생활정도_하류 and 17 other fieldsHigh correlation
범죄분류 has unique valuesUnique
생활정도_하류 has 2 (1.2%) zerosZeros
생활정도_중류 has 4 (2.5%) zerosZeros
생활정도_상류 has 10 (6.2%) zerosZeros
유배우자 has 2 (1.2%) zerosZeros
동거 has 12 (7.4%) zerosZeros
이혼 has 6 (3.7%) zerosZeros
사별 has 16 (9.9%) zerosZeros
실(양)부모 has 6 (3.7%) zerosZeros
계부모 has 91 (56.2%) zerosZeros
실부계모 has 86 (53.1%) zerosZeros
실부무모 has 35 (21.6%) zerosZeros
실모계부 has 85 (52.5%) zerosZeros
실모무부 has 14 (8.6%) zerosZeros
계부무모 has 115 (71.0%) zerosZeros
계모무부 has 97 (59.9%) zerosZeros
무부모 has 13 (8.0%) zerosZeros
미혼자부모관계_미상 has 60 (37.0%) zerosZeros

Reproduction

Analysis started2023-12-12 23:38:15.024360
Analysis finished2023-12-12 23:38:52.788009
Duration37.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

범죄분류
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T08:38:52.940275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length8.037037
Min length2

Characters and Unicode

Total characters1302
Distinct characters225
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row절도
2nd row장물
3rd row사기
4th row횡령
5th row배임
ValueCountFrequency (%)
절도 1
 
0.6%
약사법 1
 
0.6%
사행행위등규제및처벌특례법 1
 
0.6%
성매매알선등행위의처벌에관한법률 1
 
0.6%
산림자원의조성및관리에관한법률 1
 
0.6%
산업안전보건법 1
 
0.6%
산지관리법 1
 
0.6%
상표법 1
 
0.6%
석유및석유대체연료사업법 1
 
0.6%
선박안전법 1
 
0.6%
Other values (152) 152
93.8%
2023-12-13T08:38:53.288942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
8.8%
67
 
5.1%
41
 
3.1%
40
 
3.1%
34
 
2.6%
31
 
2.4%
27
 
2.1%
26
 
2.0%
23
 
1.8%
19
 
1.5%
Other values (215) 880
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1268
97.4%
Open Punctuation 12
 
0.9%
Close Punctuation 12
 
0.9%
Other Punctuation 10
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
114
 
9.0%
67
 
5.3%
41
 
3.2%
40
 
3.2%
34
 
2.7%
31
 
2.4%
27
 
2.1%
26
 
2.1%
23
 
1.8%
19
 
1.5%
Other values (211) 846
66.7%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
· 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1268
97.4%
Common 34
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
114
 
9.0%
67
 
5.3%
41
 
3.2%
40
 
3.2%
34
 
2.7%
31
 
2.4%
27
 
2.1%
26
 
2.1%
23
 
1.8%
19
 
1.5%
Other values (211) 846
66.7%
Common
ValueCountFrequency (%)
( 12
35.3%
) 12
35.3%
, 8
23.5%
· 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1268
97.4%
ASCII 32
 
2.5%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
114
 
9.0%
67
 
5.3%
41
 
3.2%
40
 
3.2%
34
 
2.7%
31
 
2.4%
27
 
2.1%
26
 
2.1%
23
 
1.8%
19
 
1.5%
Other values (211) 846
66.7%
ASCII
ValueCountFrequency (%)
( 12
37.5%
) 12
37.5%
, 8
25.0%
None
ValueCountFrequency (%)
· 2
100.0%

생활정도_하류
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct154
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4535.7284
Minimum0
Maximum106773
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:53.429764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q1114.25
median445.5
Q31728.75
95-th percentile17857.3
Maximum106773
Range106773
Interquartile range (IQR)1614.5

Descriptive statistics

Standard deviation13817.412
Coefficient of variation (CV)3.0463492
Kurtosis28.295117
Mean4535.7284
Median Absolute Deviation (MAD)413.5
Skewness5.0603
Sum734788
Variance1.9092088 × 108
MonotonicityNot monotonic
2023-12-13T08:38:53.582538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127 2
 
1.2%
64 2
 
1.2%
0 2
 
1.2%
4 2
 
1.2%
3 2
 
1.2%
106 2
 
1.2%
16 2
 
1.2%
32 2
 
1.2%
147 1
 
0.6%
243 1
 
0.6%
Other values (144) 144
88.9%
ValueCountFrequency (%)
0 2
1.2%
3 2
1.2%
4 2
1.2%
11 1
0.6%
13 1
0.6%
16 2
1.2%
17 1
0.6%
20 1
0.6%
22 1
0.6%
24 1
0.6%
ValueCountFrequency (%)
106773 1
0.6%
77262 1
0.6%
72747 1
0.6%
65368 1
0.6%
43832 1
0.6%
40976 1
0.6%
27992 1
0.6%
23575 1
0.6%
18054 1
0.6%
14120 1
0.6%

생활정도_중류
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct149
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2762.2222
Minimum0
Maximum70197
Zeros4
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:53.713633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.1
Q1122.5
median390
Q31515.75
95-th percentile12831.7
Maximum70197
Range70197
Interquartile range (IQR)1393.25

Descriptive statistics

Standard deviation8140.935
Coefficient of variation (CV)2.9472411
Kurtosis35.889586
Mean2762.2222
Median Absolute Deviation (MAD)338
Skewness5.5028508
Sum447480
Variance66274823
MonotonicityNot monotonic
2023-12-13T08:38:53.829214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.5%
201 2
 
1.2%
350 2
 
1.2%
190 2
 
1.2%
51 2
 
1.2%
22 2
 
1.2%
20 2
 
1.2%
162 2
 
1.2%
80 2
 
1.2%
185 2
 
1.2%
Other values (139) 140
86.4%
ValueCountFrequency (%)
0 4
2.5%
2 1
 
0.6%
14 1
 
0.6%
17 1
 
0.6%
20 2
1.2%
22 2
1.2%
23 1
 
0.6%
24 1
 
0.6%
25 1
 
0.6%
30 1
 
0.6%
ValueCountFrequency (%)
70197 1
0.6%
46658 1
0.6%
32031 1
0.6%
29880 1
0.6%
29816 1
0.6%
24996 1
0.6%
17475 1
0.6%
14505 1
0.6%
12936 1
0.6%
10850 1
0.6%

생활정도_상류
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct82
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.265432
Minimum0
Maximum1340
Zeros10
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:53.951632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median24
Q360
95-th percentile452.95
Maximum1340
Range1340
Interquartile range (IQR)53.75

Descriptive statistics

Standard deviation201.72218
Coefficient of variation (CV)2.2347666
Kurtosis17.055478
Mean90.265432
Median Absolute Deviation (MAD)20
Skewness3.9352882
Sum14623
Variance40691.836
MonotonicityNot monotonic
2023-12-13T08:38:54.096840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
6.2%
4 9
 
5.6%
1 8
 
4.9%
8 7
 
4.3%
10 7
 
4.3%
57 5
 
3.1%
19 4
 
2.5%
5 4
 
2.5%
11 4
 
2.5%
14 4
 
2.5%
Other values (72) 100
61.7%
ValueCountFrequency (%)
0 10
6.2%
1 8
4.9%
2 3
 
1.9%
3 3
 
1.9%
4 9
5.6%
5 4
 
2.5%
6 4
 
2.5%
7 1
 
0.6%
8 7
4.3%
9 1
 
0.6%
ValueCountFrequency (%)
1340 1
0.6%
1111 1
0.6%
1013 1
0.6%
917 1
0.6%
771 1
0.6%
670 1
0.6%
555 1
0.6%
499 1
0.6%
455 1
0.6%
414 1
0.6%

생활정도_미상
Real number (ℝ)

HIGH CORRELATION 

Distinct148
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4104.3519
Minimum0
Maximum115063
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:54.232911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q1115.75
median476
Q31633.5
95-th percentile12985.75
Maximum115063
Range115063
Interquartile range (IQR)1517.75

Descriptive statistics

Standard deviation15482.262
Coefficient of variation (CV)3.7721576
Kurtosis42.774003
Mean4104.3519
Median Absolute Deviation (MAD)403
Skewness6.4419842
Sum664905
Variance2.3970043 × 108
MonotonicityNot monotonic
2023-12-13T08:38:54.370366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 3
 
1.9%
21 2
 
1.2%
96 2
 
1.2%
404 2
 
1.2%
351 2
 
1.2%
124 2
 
1.2%
509 2
 
1.2%
47 2
 
1.2%
73 2
 
1.2%
90 2
 
1.2%
Other values (138) 141
87.0%
ValueCountFrequency (%)
0 1
 
0.6%
2 1
 
0.6%
10 2
1.2%
11 1
 
0.6%
15 1
 
0.6%
16 1
 
0.6%
18 3
1.9%
20 1
 
0.6%
21 2
1.2%
27 1
 
0.6%
ValueCountFrequency (%)
115063 1
0.6%
112566 1
0.6%
108254 1
0.6%
31063 1
0.6%
24190 1
0.6%
17825 1
0.6%
17285 1
0.6%
16119 1
0.6%
13106 1
0.6%
10701 1
0.6%

유배우자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct154
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3598.2901
Minimum0
Maximum99126
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:54.504033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.2
Q1173.25
median554
Q32020.5
95-th percentile12690.35
Maximum99126
Range99126
Interquartile range (IQR)1847.25

Descriptive statistics

Standard deviation10851.97
Coefficient of variation (CV)3.0158685
Kurtosis42.524172
Mean3598.2901
Median Absolute Deviation (MAD)469
Skewness5.9342827
Sum582923
Variance1.1776525 × 108
MonotonicityNot monotonic
2023-12-13T08:38:54.651637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184 2
 
1.2%
70 2
 
1.2%
0 2
 
1.2%
250 2
 
1.2%
61 2
 
1.2%
22 2
 
1.2%
26 2
 
1.2%
31 2
 
1.2%
437 1
 
0.6%
2074 1
 
0.6%
Other values (144) 144
88.9%
ValueCountFrequency (%)
0 2
1.2%
2 1
0.6%
4 1
0.6%
5 1
0.6%
12 1
0.6%
20 1
0.6%
22 2
1.2%
26 2
1.2%
27 1
0.6%
31 2
1.2%
ValueCountFrequency (%)
99126 1
0.6%
54647 1
0.6%
50282 1
0.6%
42192 1
0.6%
28685 1
0.6%
27610 1
0.6%
23437 1
0.6%
21396 1
0.6%
12708 1
0.6%
12355 1
0.6%

동거
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct78
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.82716
Minimum0
Maximum4212
Zeros12
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:54.780698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median19
Q357.5
95-th percentile523.65
Maximum4212
Range4212
Interquartile range (IQR)53.25

Descriptive statistics

Standard deviation456.67534
Coefficient of variation (CV)3.2199428
Kurtosis43.942967
Mean141.82716
Median Absolute Deviation (MAD)17
Skewness6.0287113
Sum22976
Variance208552.37
MonotonicityNot monotonic
2023-12-13T08:38:54.924415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
7.4%
1 11
 
6.8%
2 11
 
6.8%
8 5
 
3.1%
3 5
 
3.1%
27 5
 
3.1%
7 4
 
2.5%
19 4
 
2.5%
11 4
 
2.5%
18 4
 
2.5%
Other values (68) 97
59.9%
ValueCountFrequency (%)
0 12
7.4%
1 11
6.8%
2 11
6.8%
3 5
3.1%
4 2
 
1.2%
5 3
 
1.9%
6 3
 
1.9%
7 4
 
2.5%
8 5
3.1%
9 4
 
2.5%
ValueCountFrequency (%)
4212 1
0.6%
2169 1
0.6%
2095 1
0.6%
1747 1
0.6%
1438 1
0.6%
1139 1
0.6%
908 1
0.6%
886 1
0.6%
525 1
0.6%
498 1
0.6%

이혼
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct125
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean764.11728
Minimum0
Maximum15687
Zeros6
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:55.082562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.05
Q118
median79.5
Q3277
95-th percentile3734.55
Maximum15687
Range15687
Interquartile range (IQR)259

Descriptive statistics

Standard deviation2192.1112
Coefficient of variation (CV)2.8688151
Kurtosis24.74287
Mean764.11728
Median Absolute Deviation (MAD)68.5
Skewness4.743219
Sum123787
Variance4805351.7
MonotonicityNot monotonic
2023-12-13T08:38:55.270065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.7%
11 4
 
2.5%
4 4
 
2.5%
6 3
 
1.9%
59 3
 
1.9%
13 3
 
1.9%
14 3
 
1.9%
17 3
 
1.9%
50 3
 
1.9%
18 3
 
1.9%
Other values (115) 127
78.4%
ValueCountFrequency (%)
0 6
3.7%
1 2
 
1.2%
2 1
 
0.6%
3 2
 
1.2%
4 4
2.5%
5 1
 
0.6%
6 3
1.9%
7 1
 
0.6%
9 2
 
1.2%
11 4
2.5%
ValueCountFrequency (%)
15687 1
0.6%
13140 1
0.6%
12286 1
0.6%
9548 1
0.6%
7141 1
0.6%
6171 1
0.6%
3995 1
0.6%
3991 1
0.6%
3743 1
0.6%
3574 1
0.6%

사별
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct84
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.39506
Minimum0
Maximum3644
Zeros16
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:55.698025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q361.5
95-th percentile667.55
Maximum3644
Range3644
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation416.5022
Coefficient of variation (CV)2.8844629
Kurtosis35.404204
Mean144.39506
Median Absolute Deviation (MAD)18
Skewness5.3486913
Sum23392
Variance173474.08
MonotonicityNot monotonic
2023-12-13T08:38:55.923905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
9.9%
2 12
 
7.4%
1 8
 
4.9%
5 8
 
4.9%
3 6
 
3.7%
20 5
 
3.1%
7 5
 
3.1%
12 4
 
2.5%
6 4
 
2.5%
19 3
 
1.9%
Other values (74) 91
56.2%
ValueCountFrequency (%)
0 16
9.9%
1 8
4.9%
2 12
7.4%
3 6
 
3.7%
4 2
 
1.2%
5 8
4.9%
6 4
 
2.5%
7 5
 
3.1%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
3644 1
0.6%
2124 1
0.6%
1685 1
0.6%
1537 1
0.6%
1273 1
0.6%
1263 1
0.6%
1179 1
0.6%
791 1
0.6%
670 1
0.6%
621 1
0.6%

혼인관계_미상
Real number (ℝ)

HIGH CORRELATION 

Distinct155
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4081.6358
Minimum0
Maximum115226
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:56.067423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q1116.5
median466.5
Q31632.75
95-th percentile12918.25
Maximum115226
Range115226
Interquartile range (IQR)1516.25

Descriptive statistics

Standard deviation15484.022
Coefficient of variation (CV)3.7935826
Kurtosis43.174384
Mean4081.6358
Median Absolute Deviation (MAD)388
Skewness6.4776213
Sum661225
Variance2.3975495 × 108
MonotonicityNot monotonic
2023-12-13T08:38:56.246002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 3
 
1.9%
10 2
 
1.2%
101 2
 
1.2%
90 2
 
1.2%
282 2
 
1.2%
47 2
 
1.2%
3336 1
 
0.6%
599 1
 
0.6%
420 1
 
0.6%
56 1
 
0.6%
Other values (145) 145
89.5%
ValueCountFrequency (%)
0 1
 
0.6%
2 1
 
0.6%
10 2
1.2%
11 1
 
0.6%
15 1
 
0.6%
16 1
 
0.6%
18 3
1.9%
20 1
 
0.6%
21 1
 
0.6%
24 1
 
0.6%
ValueCountFrequency (%)
115226 1
0.6%
112894 1
0.6%
108474 1
0.6%
29322 1
0.6%
22828 1
0.6%
17844 1
0.6%
17306 1
0.6%
16155 1
0.6%
13032 1
0.6%
10757 1
0.6%

실(양)부모
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct125
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.1543
Minimum0
Maximum49854
Zeros6
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:56.392256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q118.25
median89
Q3726
95-th percentile7900.55
Maximum49854
Range49854
Interquartile range (IQR)707.75

Descriptive statistics

Standard deviation6465.0011
Coefficient of variation (CV)3.2129748
Kurtosis28.837952
Mean2012.1543
Median Absolute Deviation (MAD)84
Skewness5.1265833
Sum325969
Variance41796239
MonotonicityNot monotonic
2023-12-13T08:38:56.542618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.7%
12 6
 
3.7%
7 4
 
2.5%
10 4
 
2.5%
4 4
 
2.5%
38 4
 
2.5%
15 3
 
1.9%
5 3
 
1.9%
19 2
 
1.2%
2 2
 
1.2%
Other values (115) 124
76.5%
ValueCountFrequency (%)
0 6
3.7%
2 2
 
1.2%
3 2
 
1.2%
4 4
2.5%
5 3
1.9%
6 1
 
0.6%
7 4
2.5%
8 2
 
1.2%
9 1
 
0.6%
10 4
2.5%
ValueCountFrequency (%)
49854 1
0.6%
36046 1
0.6%
33956 1
0.6%
32192 1
0.6%
20950 1
0.6%
16101 1
0.6%
12063 1
0.6%
11381 1
0.6%
7920 1
0.6%
7531 1
0.6%

계부모
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.037037
Minimum0
Maximum259
Zeros91
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:56.681750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.75
95-th percentile38.85
Maximum259
Range259
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation31.414063
Coefficient of variation (CV)3.1298144
Kurtosis31.147782
Mean10.037037
Median Absolute Deviation (MAD)0
Skewness5.1726802
Sum1626
Variance986.84334
MonotonicityNot monotonic
2023-12-13T08:38:57.170225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 91
56.2%
1 17
 
10.5%
3 8
 
4.9%
2 5
 
3.1%
5 5
 
3.1%
15 3
 
1.9%
21 2
 
1.2%
11 2
 
1.2%
7 2
 
1.2%
4 2
 
1.2%
Other values (23) 25
 
15.4%
ValueCountFrequency (%)
0 91
56.2%
1 17
 
10.5%
2 5
 
3.1%
3 8
 
4.9%
4 2
 
1.2%
5 5
 
3.1%
6 1
 
0.6%
7 2
 
1.2%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
259 1
0.6%
164 1
0.6%
144 1
0.6%
135 1
0.6%
116 1
0.6%
96 1
0.6%
66 1
0.6%
53 1
0.6%
39 1
0.6%
36 1
0.6%

실부계모
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.91358
Minimum0
Maximum617
Zeros86
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:57.366723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile50.9
Maximum617
Range617
Interquartile range (IQR)6

Descriptive statistics

Standard deviation62.939821
Coefficient of variation (CV)4.2203026
Kurtosis64.271883
Mean14.91358
Median Absolute Deviation (MAD)0
Skewness7.6182113
Sum2416
Variance3961.4211
MonotonicityNot monotonic
2023-12-13T08:38:57.500984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 86
53.1%
1 14
 
8.6%
2 6
 
3.7%
3 5
 
3.1%
4 5
 
3.1%
11 3
 
1.9%
19 3
 
1.9%
6 3
 
1.9%
7 3
 
1.9%
5 3
 
1.9%
Other values (24) 31
 
19.1%
ValueCountFrequency (%)
0 86
53.1%
1 14
 
8.6%
2 6
 
3.7%
3 5
 
3.1%
4 5
 
3.1%
5 3
 
1.9%
6 3
 
1.9%
7 3
 
1.9%
8 1
 
0.6%
10 3
 
1.9%
ValueCountFrequency (%)
617 1
0.6%
433 1
0.6%
216 1
0.6%
130 1
0.6%
107 1
0.6%
82 1
0.6%
64 1
0.6%
54 1
0.6%
51 1
0.6%
49 1
0.6%

실부무모
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct67
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.18519
Minimum0
Maximum3674
Zeros35
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:57.624341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q353.75
95-th percentile539.2
Maximum3674
Range3674
Interquartile range (IQR)52.75

Descriptive statistics

Standard deviation455.38656
Coefficient of variation (CV)3.3686129
Kurtosis33.619114
Mean135.18519
Median Absolute Deviation (MAD)5
Skewness5.506284
Sum21900
Variance207376.92
MonotonicityNot monotonic
2023-12-13T08:38:57.759639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
21.6%
1 17
 
10.5%
2 16
 
9.9%
5 7
 
4.3%
3 5
 
3.1%
4 5
 
3.1%
7 3
 
1.9%
10 3
 
1.9%
11 3
 
1.9%
6 3
 
1.9%
Other values (57) 65
40.1%
ValueCountFrequency (%)
0 35
21.6%
1 17
10.5%
2 16
9.9%
3 5
 
3.1%
4 5
 
3.1%
5 7
 
4.3%
6 3
 
1.9%
7 3
 
1.9%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
3674 1
0.6%
2807 1
0.6%
2212 1
0.6%
2109 1
0.6%
1401 1
0.6%
815 1
0.6%
704 1
0.6%
636 1
0.6%
540 1
0.6%
524 1
0.6%

실모계부
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.833333
Minimum0
Maximum455
Zeros85
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:57.902837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.5
95-th percentile52.95
Maximum455
Range455
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation51.094754
Coefficient of variation (CV)3.6935967
Kurtosis45.985852
Mean13.833333
Median Absolute Deviation (MAD)0
Skewness6.375198
Sum2241
Variance2610.6739
MonotonicityNot monotonic
2023-12-13T08:38:58.015678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 85
52.5%
1 20
 
12.3%
2 7
 
4.3%
4 6
 
3.7%
12 4
 
2.5%
10 4
 
2.5%
3 3
 
1.9%
19 3
 
1.9%
7 3
 
1.9%
11 2
 
1.2%
Other values (21) 25
 
15.4%
ValueCountFrequency (%)
0 85
52.5%
1 20
 
12.3%
2 7
 
4.3%
3 3
 
1.9%
4 6
 
3.7%
6 1
 
0.6%
7 3
 
1.9%
8 2
 
1.2%
10 4
 
2.5%
11 2
 
1.2%
ValueCountFrequency (%)
455 1
0.6%
340 1
0.6%
225 1
0.6%
150 1
0.6%
137 1
0.6%
104 1
0.6%
61 1
0.6%
60 1
0.6%
53 1
0.6%
52 1
0.6%

실모무부
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct86
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.35802
Minimum0
Maximum6685
Zeros14
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:58.130532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q3112
95-th percentile1586.15
Maximum6685
Range6685
Interquartile range (IQR)109

Descriptive statistics

Standard deviation1029.5797
Coefficient of variation (CV)3.0792733
Kurtosis24.405039
Mean334.35802
Median Absolute Deviation (MAD)16.5
Skewness4.8316711
Sum54166
Variance1060034.4
MonotonicityNot monotonic
2023-12-13T08:38:58.262575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
8.6%
3 13
 
8.0%
1 9
 
5.6%
2 8
 
4.9%
6 6
 
3.7%
14 5
 
3.1%
13 5
 
3.1%
4 5
 
3.1%
5 4
 
2.5%
8 3
 
1.9%
Other values (76) 90
55.6%
ValueCountFrequency (%)
0 14
8.6%
1 9
5.6%
2 8
4.9%
3 13
8.0%
4 5
 
3.1%
5 4
 
2.5%
6 6
3.7%
7 2
 
1.2%
8 3
 
1.9%
11 2
 
1.2%
ValueCountFrequency (%)
6685 1
0.6%
6055 1
0.6%
5977 1
0.6%
5866 1
0.6%
3646 1
0.6%
1829 1
0.6%
1765 1
0.6%
1601 1
0.6%
1598 1
0.6%
1361 1
0.6%

계부무모
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2530864
Minimum0
Maximum54
Zeros115
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:58.381977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9.95
Maximum54
Range54
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.4494668
Coefficient of variation (CV)3.3063387
Kurtosis32.617007
Mean2.2530864
Median Absolute Deviation (MAD)0
Skewness5.4683595
Sum365
Variance55.494556
MonotonicityNot monotonic
2023-12-13T08:38:58.483031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 115
71.0%
1 12
 
7.4%
3 10
 
6.2%
5 5
 
3.1%
2 4
 
2.5%
8 3
 
1.9%
10 2
 
1.2%
7 2
 
1.2%
14 1
 
0.6%
9 1
 
0.6%
Other values (7) 7
 
4.3%
ValueCountFrequency (%)
0 115
71.0%
1 12
 
7.4%
2 4
 
2.5%
3 10
 
6.2%
4 1
 
0.6%
5 5
 
3.1%
7 2
 
1.2%
8 3
 
1.9%
9 1
 
0.6%
10 2
 
1.2%
ValueCountFrequency (%)
54 1
 
0.6%
52 1
 
0.6%
45 1
 
0.6%
26 1
 
0.6%
17 1
 
0.6%
14 1
 
0.6%
11 1
 
0.6%
10 2
1.2%
9 1
 
0.6%
8 3
1.9%

계모무부
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2160494
Minimum0
Maximum139
Zeros97
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:58.571647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15.85
Maximum139
Range139
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.908299
Coefficient of variation (CV)3.5360826
Kurtosis49.189831
Mean4.2160494
Median Absolute Deviation (MAD)0
Skewness6.4956261
Sum683
Variance222.25738
MonotonicityNot monotonic
2023-12-13T08:38:58.664547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 97
59.9%
1 19
 
11.7%
2 8
 
4.9%
3 6
 
3.7%
4 6
 
3.7%
6 4
 
2.5%
8 3
 
1.9%
7 3
 
1.9%
10 2
 
1.2%
28 2
 
1.2%
Other values (11) 12
 
7.4%
ValueCountFrequency (%)
0 97
59.9%
1 19
 
11.7%
2 8
 
4.9%
3 6
 
3.7%
4 6
 
3.7%
5 1
 
0.6%
6 4
 
2.5%
7 3
 
1.9%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
139 1
0.6%
88 1
0.6%
68 1
0.6%
44 1
0.6%
37 1
0.6%
28 2
1.2%
22 1
0.6%
16 1
0.6%
13 1
0.6%
11 1
0.6%

무부모
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct80
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.90123
Minimum0
Maximum5357
Zeros13
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:58.776718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q359
95-th percentile1047.05
Maximum5357
Range5357
Interquartile range (IQR)56

Descriptive statistics

Standard deviation698.39039
Coefficient of variation (CV)3.2347679
Kurtosis30.103874
Mean215.90123
Median Absolute Deviation (MAD)11
Skewness5.2117836
Sum34976
Variance487749.13
MonotonicityNot monotonic
2023-12-13T08:38:58.905722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
9.9%
0 13
 
8.0%
1 10
 
6.2%
3 10
 
6.2%
4 9
 
5.6%
6 5
 
3.1%
12 4
 
2.5%
5 4
 
2.5%
14 4
 
2.5%
13 3
 
1.9%
Other values (70) 84
51.9%
ValueCountFrequency (%)
0 13
8.0%
1 10
6.2%
2 16
9.9%
3 10
6.2%
4 9
5.6%
5 4
 
2.5%
6 5
 
3.1%
7 1
 
0.6%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
5357 1
0.6%
4370 1
0.6%
3825 1
0.6%
2566 1
0.6%
2330 1
0.6%
1554 1
0.6%
1424 1
0.6%
1059 1
0.6%
1054 1
0.6%
915 1
0.6%

미혼자부모관계_미상
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.450617
Minimum0
Maximum486
Zeros60
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T08:38:59.027442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile84.9
Maximum486
Range486
Interquartile range (IQR)10

Descriptive statistics

Standard deviation59.600226
Coefficient of variation (CV)3.0641817
Kurtosis32.850294
Mean19.450617
Median Absolute Deviation (MAD)2
Skewness5.3652099
Sum3151
Variance3552.187
MonotonicityNot monotonic
2023-12-13T08:38:59.154996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 60
37.0%
1 15
 
9.3%
2 14
 
8.6%
3 7
 
4.3%
10 6
 
3.7%
6 6
 
3.7%
4 4
 
2.5%
7 4
 
2.5%
8 3
 
1.9%
5 3
 
1.9%
Other values (31) 40
24.7%
ValueCountFrequency (%)
0 60
37.0%
1 15
 
9.3%
2 14
 
8.6%
3 7
 
4.3%
4 4
 
2.5%
5 3
 
1.9%
6 6
 
3.7%
7 4
 
2.5%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
486 1
0.6%
372 1
0.6%
266 1
0.6%
225 1
0.6%
206 1
0.6%
174 1
0.6%
123 1
0.6%
93 1
0.6%
86 1
0.6%
64 1
0.6%

Interactions

2023-12-13T08:38:50.358196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:15.819131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:17.574934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:19.614882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:22.062800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.879585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.693943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:27.707143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.831589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.708472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.421416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.568439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.515911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.296851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.532068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.334438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.222367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:47.102968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:17.677727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:22.164945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.969348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.792433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:27.794487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.930485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.802134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.821748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.657512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.619018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.412437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.609669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.443676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.312696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:47.196591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.868531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:50.582086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:15.993203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:17.762733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:19.910268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:22.268470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:24.064581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.881066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:27.901510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:30.046983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.889277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.911832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.791059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.728270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.544703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.692931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.561167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.414483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:20.022556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:22.364047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:24.159585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.976228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:28.038894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:30.161722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.977748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.999773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:37.830234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.675522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.786160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.668223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.508065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:47.359317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.032057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:50.788789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:17.957062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:20.135108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:22.455946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:24.247285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:26.069496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:28.176224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:30.284809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:32.059866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:35.995927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.909521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.795221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.875685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.771386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.615830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:47.435771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.127764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:50.873358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:18.054765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:20.255035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:22.553663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:26.153869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:30.395586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:34.168225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:37.994951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:41.957901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:16.298060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:18.141394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:20.365140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:22.651148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:24.410227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:28.406875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:43.951280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.799213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:38:47.859569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.529604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:51.319903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:16.656098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:18.533174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:20.870755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.013047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:24.803163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:26.608948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:28.835411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:30.884871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:32.573399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:34.640773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:36.686134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:38.440009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:40.664767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:42.425695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:44.361225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.096286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:47.974037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.616419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:51.399696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:16.727576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:18.642205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.269588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.096574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:24.895688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:26.696647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:28.943661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:30.965786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:32.655269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:34.723795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:36.781769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:38.535037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:40.762063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:42.508890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:44.463768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.168756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.052486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.702630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:51.505194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:16.808484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:18.757419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.360821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.198125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.005553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:26.792276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.053162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.065783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:32.754230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:34.822348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:36.875200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:38.638694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:40.863789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:42.588879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:44.563418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.250440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.143452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.775838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:51.595366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:16.945552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:18.874554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.464579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.298247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.108464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:26.885083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.176790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.162496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:32.860807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:34.918070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:36.966875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:38.728662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:40.967574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:42.756664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:44.655914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.603549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.231152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.863222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:51.672489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:17.103972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:18.979715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.546023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.391661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.185577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:26.972389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.268977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.240812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:32.962334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.020614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.051407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:38.815052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.075005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:42.856461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:44.749870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.703421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.337946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:49.945224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:51.758739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:17.211781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:19.100967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.648551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.485188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.279450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:27.072424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.390444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.344565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.046137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.136436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.132686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:38.933013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.180065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:42.944477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:44.834737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.810061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.448755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:50.029466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:51.845015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:17.294791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:19.214576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.749456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.570257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.426645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:27.152133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.492130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.423351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.135926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.244392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.208988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.050878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.273881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.039246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:44.916862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.881046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.525240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:50.118674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:52.205986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:17.386366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:19.365059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.861953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.671920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.523313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:27.249007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.608939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.526881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.218758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.385122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.314651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.134134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.353586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.141450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.020538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:46.953607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.611161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:50.202553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:52.280519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:17.475312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:19.496477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:21.968773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:23.771179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:25.613374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:27.320602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:29.712265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:31.612954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:33.306307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:35.473921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:37.416747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:39.214612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:41.431110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:43.237257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:45.119232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:47.023037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:48.697785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:38:50.273721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:38:59.240702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생활정도_하류생활정도_중류생활정도_상류생활정도_미상유배우자동거이혼사별혼인관계_미상실(양)부모계부모실부계모실부무모실모계부실모무부계부무모계모무부무부모미혼자부모관계_미상
생활정도_하류1.0000.9570.9400.8750.9490.9090.9620.8990.8710.9900.9970.9180.9890.8960.9530.9310.9270.9090.968
생활정도_중류0.9571.0000.9360.6750.8880.9690.9470.9720.6630.9170.9440.8880.9400.9640.8840.9890.9760.9680.883
생활정도_상류0.9400.9361.0000.8170.9380.9480.9580.9400.8070.9290.9320.9540.9430.9370.9220.9280.9700.9380.909
생활정도_미상0.8750.6750.8171.0000.7390.6460.7290.6280.9940.8800.9280.6130.7900.6040.5590.6680.6580.6420.965
유배우자0.9490.8880.9380.7391.0000.8650.9690.8640.7360.8920.9110.9490.9180.8450.9320.8740.9090.8880.855
동거0.9090.9690.9480.6460.8651.0000.9550.9800.6410.9370.9080.9330.9540.9940.8800.9750.9860.9930.899
이혼0.9620.9470.9580.7290.9690.9551.0000.9240.7190.9410.9570.9930.9640.9420.9790.9460.9640.9560.926
사별0.8990.9720.9400.6280.8640.9800.9241.0000.6120.8970.9020.8820.9450.9670.8820.9730.9840.9750.849
혼인관계_미상0.8710.6630.8070.9940.7360.6410.7190.6121.0000.8780.9310.6130.7870.6040.5390.6500.6500.6320.976
실(양)부모0.9900.9170.9290.8800.8920.9370.9410.8970.8781.0000.9960.9260.9920.9220.9210.9350.9200.9000.982
계부모0.9970.9440.9320.9280.9110.9080.9570.9020.9310.9961.0000.9190.9890.8950.9060.9290.9270.8960.983
실부계모0.9180.8880.9540.6130.9490.9330.9930.8820.6130.9260.9191.0000.9830.9450.9660.9060.9360.9290.919
실부무모0.9890.9400.9430.7900.9180.9540.9640.9450.7870.9920.9890.9831.0000.9530.9410.9560.9610.9380.981
실모계부0.8960.9640.9370.6040.8450.9940.9420.9670.6040.9220.8950.9450.9531.0000.8800.9750.9840.9900.883
실모무부0.9530.8840.9220.5590.9320.8800.9790.8820.5390.9210.9060.9660.9410.8801.0000.8950.8520.8700.888
계부무모0.9310.9890.9280.6680.8740.9750.9460.9730.6500.9350.9290.9060.9560.9750.8951.0000.9860.9720.896
계모무부0.9270.9760.9700.6580.9090.9860.9640.9840.6500.9200.9270.9360.9610.9840.8520.9861.0000.9840.893
무부모0.9090.9680.9380.6420.8880.9930.9560.9750.6320.9000.8960.9290.9380.9900.8700.9720.9841.0000.882
미혼자부모관계_미상0.9680.8830.9090.9650.8550.8990.9260.8490.9760.9820.9830.9190.9810.8830.8880.8960.8930.8821.000
2023-12-13T08:38:59.398568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생활정도_하류생활정도_중류생활정도_상류생활정도_미상유배우자동거이혼사별혼인관계_미상실(양)부모계부모실부계모실부무모실모계부실모무부계부무모계모무부무부모미혼자부모관계_미상
생활정도_하류1.0000.9460.8200.7520.9360.9470.9690.8780.7540.9270.8130.8060.8740.7720.9290.7180.7560.9310.741
생활정도_중류0.9461.0000.9170.8160.9740.9240.9370.8970.8140.8700.7550.7390.8060.6790.8560.6690.7000.8480.733
생활정도_상류0.8200.9171.0000.8340.9160.8320.8320.8510.8320.7100.6000.5870.6560.5110.6950.5400.5770.6980.679
생활정도_미상0.7520.8160.8341.0000.8280.7450.7720.7680.9990.6620.5920.5850.6220.5280.6420.5290.5510.6380.749
유배우자0.9360.9740.9160.8281.0000.9150.9420.9200.8290.8000.6920.6740.7320.6080.7940.6340.6480.8070.713
동거0.9470.9240.8320.7450.9151.0000.9450.8670.7470.8840.7710.7650.8350.7240.8920.7000.7560.8790.705
이혼0.9690.9370.8320.7720.9420.9451.0000.9140.7720.8810.7680.7730.8290.7340.8900.7000.7250.9050.714
사별0.8780.8970.8510.7680.9200.8670.9141.0000.7670.7500.6560.6580.6940.5980.7680.6100.6250.7940.667
혼인관계_미상0.7540.8140.8320.9990.8290.7470.7720.7671.0000.6610.5910.5840.6210.5270.6430.5290.5510.6380.751
실(양)부모0.9270.8700.7100.6620.8000.8840.8810.7500.6611.0000.8600.8400.9450.8370.9760.7350.7900.9280.690
계부모0.8130.7550.6000.5920.6920.7710.7680.6560.5910.8601.0000.8380.8550.8660.8470.7850.8110.8180.705
실부계모0.8060.7390.5870.5850.6740.7650.7730.6580.5840.8400.8381.0000.8300.8670.8400.7280.7950.8390.656
실부무모0.8740.8060.6560.6220.7320.8350.8290.6940.6210.9450.8550.8301.0000.8550.9280.7420.7940.8820.667
실모계부0.7720.6790.5110.5280.6080.7240.7340.5980.5270.8370.8660.8670.8551.0000.8350.7490.7880.8330.635
실모무부0.9290.8560.6950.6420.7940.8920.8900.7680.6430.9760.8470.8400.9280.8351.0000.7390.7900.9500.666
계부무모0.7180.6690.5400.5290.6340.7000.7000.6100.5290.7350.7850.7280.7420.7490.7391.0000.7470.7380.617
계모무부0.7560.7000.5770.5510.6480.7560.7250.6250.5510.7900.8110.7950.7940.7880.7900.7471.0000.7650.608
무부모0.9310.8480.6980.6380.8070.8790.9050.7940.6380.9280.8180.8390.8820.8330.9500.7380.7651.0000.651
미혼자부모관계_미상0.7410.7330.6790.7490.7130.7050.7140.6670.7510.6900.7050.6560.6670.6350.6660.6170.6080.6511.000

Missing values

2023-12-13T08:38:52.409877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:38:52.689315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

범죄분류생활정도_하류생활정도_중류생활정도_상류생활정도_미상유배우자동거이혼사별혼인관계_미상실(양)부모계부모실부계모실부무모실모계부실모무부계부무모계모무부무부모미혼자부모관계_미상
0절도6536829816771107012868514389548364410757360461646173674455597752685357174
1장물1608111133379131427135333789913460712900473
2사기7726229880917115063421922169156871685115226321921444332807340605554883825225
3횡령126347258304161199784351238562116155495730403414286110769833
4배임134415501607015247745232437024170011214101211
5손괴180541085041461671270890837436706181753125495245215981010142452
6살인59217382132713214220217156161446501552
7강도97633781762823812517174577318631310610773
8방화8132975148355451842615025457221081321163
9성폭력131131293649962898268444223033562981138136827041041829511105456
범죄분류생활정도_하류생활정도_중류생활정도_상류생활정도_미상유배우자동거이혼사별혼인관계_미상실(양)부모계부모실부계모실부무모실모계부실모무부계부무모계모무부무부모미혼자부모관계_미상
152폐기물관리법6015794978998528147197554900201600116
153풍속영업의규제에관한법률19361047832368478901211800131
154하천법12286473153026117215000040040
155학교보건법40240183101421810000020140
156학원의설립운영및과외교습에관한법률2132866553281936455990030140020
157화물자동차운수사업법16626961040415535428234405307311916311471
158화재로인한재해보상과보험가입에관한법률0000000000000000000
159화재예방,소방시설설치유지및안전관리에관한법률31412112101240000010000
160화학물질관리법32914743641052232336233143346400307
161기타특별법23575174751013131062343788661711273130327442533141834136182291586