Overview

Dataset statistics

Number of variables16
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory144.8 B

Variable types

DateTime1
Numeric15

Dataset

Description공간이 보유한 웹EDI 적용사업장 현황 목록 : 사업장 내역변경신고, 사업장 탈퇴신고, 사업장가입자 명부발급, 사업장가입자 등등
URLhttps://www.data.go.kr/data/3049052/fileData.do

Alerts

is highly overall correlated with 사업장 내역변경신고 and 11 other fieldsHigh correlation
사업장 내역변경신고 is highly overall correlated with and 10 other fieldsHigh correlation
사업장 탈퇴신고 is highly overall correlated with and 11 other fieldsHigh correlation
사업장가입자 명부발급 is highly overall correlated with and 10 other fieldsHigh correlation
사업장가입자 자격취득신고 is highly overall correlated with and 10 other fieldsHigh correlation
사업장가입자 상실신고 is highly overall correlated with and 10 other fieldsHigh correlation
사업장가입자 내역변경 is highly overall correlated with and 11 other fieldsHigh correlation
건강보험증신고서 is highly overall correlated with 사업장 탈퇴신고 and 2 other fieldsHigh correlation
피부양자 자격취득신고 is highly overall correlated with and 10 other fieldsHigh correlation
피부양자 자격상실신고 is highly overall correlated with and 10 other fieldsHigh correlation
휴직자 납부유예 신청서 is highly overall correlated with and 9 other fieldsHigh correlation
보수월액 변경신청서 is highly overall correlated with and 11 other fieldsHigh correlation
보수총액 통보서 is highly overall correlated with and 1 other fieldsHigh correlation
보험료 납부확인서 발급 is highly overall correlated with and 10 other fieldsHigh correlation
연월 has unique valuesUnique
has unique valuesUnique
사업장 내역변경신고 has unique valuesUnique
사업장가입자 명부발급 has unique valuesUnique
사업장가입자 자격취득신고 has unique valuesUnique
사업장가입자 상실신고 has unique valuesUnique
피부양자 자격취득신고 has unique valuesUnique
휴직자 납부유예 신청서 has unique valuesUnique
보수월액 변경신청서 has unique valuesUnique
보험료 납부확인서 발급 has unique valuesUnique
보수총액 통보서 has 1 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-12 21:09:05.809580
Analysis finished2023-12-12 21:09:29.949667
Duration24.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월
Date

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2017-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T06:09:30.027280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:30.160460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)


Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean479030.28
Minimum222286
Maximum1215767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:30.325376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum222286
5-th percentile286885.8
Q1348172.5
median431708.5
Q3527212.75
95-th percentile859810.25
Maximum1215767
Range993481
Interquartile range (IQR)179040.25

Descriptive statistics

Standard deviation200765.93
Coefficient of variation (CV)0.41910907
Kurtosis4.4295424
Mean479030.28
Median Absolute Deviation (MAD)89340
Skewness1.9560965
Sum34490180
Variance4.0306961 × 1010
MonotonicityNot monotonic
2023-12-13T06:09:30.458776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321284 1
 
1.4%
685320 1
 
1.4%
702801 1
 
1.4%
636540 1
 
1.4%
520911 1
 
1.4%
1150016 1
 
1.4%
971738 1
 
1.4%
572044 1
 
1.4%
434390 1
 
1.4%
395388 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
222286 1
1.4%
275368 1
1.4%
279423 1
1.4%
281762 1
1.4%
291078 1
1.4%
297223 1
1.4%
299230 1
1.4%
300873 1
1.4%
301958 1
1.4%
304341 1
1.4%
ValueCountFrequency (%)
1215767 1
1.4%
1150016 1
1.4%
1148240 1
1.4%
971738 1
1.4%
768233 1
1.4%
741170 1
1.4%
734763 1
1.4%
702801 1
1.4%
685320 1
1.4%
644345 1
1.4%

사업장 내역변경신고
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5430.1806
Minimum2631
Maximum10054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:30.584315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2631
5-th percentile3169.7
Q14087.5
median5445.5
Q36312
95-th percentile8156.65
Maximum10054
Range7423
Interquartile range (IQR)2224.5

Descriptive statistics

Standard deviation1621.1824
Coefficient of variation (CV)0.29855036
Kurtosis0.15870504
Mean5430.1806
Median Absolute Deviation (MAD)1062
Skewness0.56195273
Sum390973
Variance2628232.3
MonotonicityNot monotonic
2023-12-13T06:09:30.727879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3626 1
 
1.4%
6321 1
 
1.4%
6340 1
 
1.4%
5921 1
 
1.4%
8032 1
 
1.4%
9717 1
 
1.4%
6162 1
 
1.4%
6563 1
 
1.4%
4837 1
 
1.4%
4920 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
2631 1
1.4%
3111 1
1.4%
3122 1
1.4%
3162 1
1.4%
3176 1
1.4%
3206 1
1.4%
3356 1
1.4%
3386 1
1.4%
3396 1
1.4%
3612 1
1.4%
ValueCountFrequency (%)
10054 1
1.4%
9717 1
1.4%
8818 1
1.4%
8276 1
1.4%
8059 1
1.4%
8032 1
1.4%
7372 1
1.4%
7326 1
1.4%
7303 1
1.4%
7188 1
1.4%

사업장 탈퇴신고
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1828.2778
Minimum942
Maximum3859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:30.863960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum942
5-th percentile1051
Q11258.25
median1866.5
Q32162.75
95-th percentile2786.95
Maximum3859
Range2917
Interquartile range (IQR)904.5

Descriptive statistics

Standard deviation619.0144
Coefficient of variation (CV)0.33857787
Kurtosis0.95407067
Mean1828.2778
Median Absolute Deviation (MAD)413.5
Skewness0.79667435
Sum131636
Variance383178.82
MonotonicityNot monotonic
2023-12-13T06:09:31.003888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2208 2
 
2.8%
1734 1
 
1.4%
2135 1
 
1.4%
2137 1
 
1.4%
1943 1
 
1.4%
1869 1
 
1.4%
3610 1
 
1.4%
2530 1
 
1.4%
1985 1
 
1.4%
1927 1
 
1.4%
Other values (61) 61
84.7%
ValueCountFrequency (%)
942 1
1.4%
1020 1
1.4%
1033 1
1.4%
1040 1
1.4%
1060 1
1.4%
1070 1
1.4%
1071 1
1.4%
1075 1
1.4%
1086 1
1.4%
1123 1
1.4%
ValueCountFrequency (%)
3859 1
1.4%
3610 1
1.4%
3155 1
1.4%
2815 1
1.4%
2764 1
1.4%
2607 1
1.4%
2530 1
1.4%
2525 1
1.4%
2474 1
1.4%
2447 1
1.4%

사업장가입자 명부발급
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46559.667
Minimum26881
Maximum66841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:31.168549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26881
5-th percentile33114
Q139082.5
median46227
Q353235.25
95-th percentile61827.5
Maximum66841
Range39960
Interquartile range (IQR)14152.75

Descriptive statistics

Standard deviation8987.5204
Coefficient of variation (CV)0.19303232
Kurtosis-0.62329186
Mean46559.667
Median Absolute Deviation (MAD)7063.5
Skewness0.056513399
Sum3352296
Variance80775524
MonotonicityNot monotonic
2023-12-13T06:09:31.330768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36361 1
 
1.4%
62647 1
 
1.4%
54220 1
 
1.4%
51968 1
 
1.4%
58228 1
 
1.4%
62754 1
 
1.4%
61157 1
 
1.4%
66841 1
 
1.4%
52979 1
 
1.4%
49668 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
26881 1
1.4%
28818 1
1.4%
32179 1
1.4%
32201 1
1.4%
33861 1
1.4%
34476 1
1.4%
34663 1
1.4%
35299 1
1.4%
35709 1
1.4%
35776 1
1.4%
ValueCountFrequency (%)
66841 1
1.4%
63067 1
1.4%
62754 1
1.4%
62647 1
1.4%
61157 1
1.4%
60163 1
1.4%
59237 1
1.4%
58228 1
1.4%
56683 1
1.4%
56396 1
1.4%

사업장가입자 자격취득신고
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103925.46
Minimum60400
Maximum162218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:31.509492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60400
5-th percentile72749.75
Q186474
median98440.5
Q3121196.75
95-th percentile136868.2
Maximum162218
Range101818
Interquartile range (IQR)34722.75

Descriptive statistics

Standard deviation22302.827
Coefficient of variation (CV)0.21460408
Kurtosis-0.63202571
Mean103925.46
Median Absolute Deviation (MAD)17787
Skewness0.31342522
Sum7482633
Variance4.974161 × 108
MonotonicityNot monotonic
2023-12-13T06:09:31.671655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78033 1
 
1.4%
97958 1
 
1.4%
123644 1
 
1.4%
115732 1
 
1.4%
129372 1
 
1.4%
149837 1
 
1.4%
95892 1
 
1.4%
125519 1
 
1.4%
108884 1
 
1.4%
106682 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
60400 1
1.4%
69364 1
1.4%
72077 1
1.4%
72252 1
1.4%
73157 1
1.4%
75731 1
1.4%
76502 1
1.4%
76730 1
1.4%
77119 1
1.4%
77267 1
1.4%
ValueCountFrequency (%)
162218 1
1.4%
149837 1
1.4%
143819 1
1.4%
137185 1
1.4%
136609 1
1.4%
135606 1
1.4%
133542 1
1.4%
133279 1
1.4%
131881 1
1.4%
131504 1
1.4%

사업장가입자 상실신고
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109781.89
Minimum63113
Maximum169987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:31.811971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63113
5-th percentile75909.45
Q187287.5
median103364.5
Q3128331.5
95-th percentile152358.3
Maximum169987
Range106874
Interquartile range (IQR)41044

Descriptive statistics

Standard deviation25057.584
Coefficient of variation (CV)0.2282488
Kurtosis-0.70025994
Mean109781.89
Median Absolute Deviation (MAD)19222
Skewness0.37214911
Sum7904296
Variance6.2788253 × 108
MonotonicityNot monotonic
2023-12-13T06:09:31.953136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91302 1
 
1.4%
103438 1
 
1.4%
128227 1
 
1.4%
117986 1
 
1.4%
126980 1
 
1.4%
153950 1
 
1.4%
103165 1
 
1.4%
155332 1
 
1.4%
118571 1
 
1.4%
109761 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
63113 1
1.4%
74962 1
1.4%
75108 1
1.4%
75734 1
1.4%
76053 1
1.4%
78426 1
1.4%
79250 1
1.4%
80110 1
1.4%
80260 1
1.4%
80912 1
1.4%
ValueCountFrequency (%)
169987 1
1.4%
166682 1
1.4%
155332 1
1.4%
153950 1
1.4%
151056 1
1.4%
144193 1
1.4%
141934 1
1.4%
141482 1
1.4%
141317 1
1.4%
139329 1
1.4%

사업장가입자 내역변경
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2606.6111
Minimum681
Maximum5455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:32.097594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum681
5-th percentile938.75
Q11207
median2433
Q33853.25
95-th percentile4784.3
Maximum5455
Range4774
Interquartile range (IQR)2646.25

Descriptive statistics

Standard deviation1438.5142
Coefficient of variation (CV)0.55187143
Kurtosis-1.4165468
Mean2606.6111
Median Absolute Deviation (MAD)1308.5
Skewness0.26657672
Sum187676
Variance2069323.1
MonotonicityNot monotonic
2023-12-13T06:09:32.233277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4414 2
 
2.8%
1109 2
 
2.8%
992 1
 
1.4%
3477 1
 
1.4%
3505 1
 
1.4%
4031 1
 
1.4%
4641 1
 
1.4%
3319 1
 
1.4%
4219 1
 
1.4%
3881 1
 
1.4%
Other values (60) 60
83.3%
ValueCountFrequency (%)
681 1
1.4%
770 1
1.4%
826 1
1.4%
925 1
1.4%
950 1
1.4%
958 1
1.4%
970 1
1.4%
971 1
1.4%
981 1
1.4%
992 1
1.4%
ValueCountFrequency (%)
5455 1
1.4%
5116 1
1.4%
4992 1
1.4%
4825 1
1.4%
4751 1
1.4%
4680 1
1.4%
4641 1
1.4%
4583 1
1.4%
4510 1
1.4%
4454 1
1.4%

건강보험증신고서
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.736111
Minimum8
Maximum373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:32.386069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9
Q114
median19.5
Q3190.25
95-th percentile287.75
Maximum373
Range365
Interquartile range (IQR)176.25

Descriptive statistics

Standard deviation108.18841
Coefficient of variation (CV)1.095733
Kurtosis-0.79197165
Mean98.736111
Median Absolute Deviation (MAD)9.5
Skewness0.79545196
Sum7109
Variance11704.732
MonotonicityNot monotonic
2023-12-13T06:09:32.533390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
13 5
 
6.9%
17 5
 
6.9%
9 4
 
5.6%
14 4
 
5.6%
16 3
 
4.2%
10 3
 
4.2%
12 3
 
4.2%
18 3
 
4.2%
25 2
 
2.8%
20 2
 
2.8%
Other values (35) 38
52.8%
ValueCountFrequency (%)
8 1
 
1.4%
9 4
5.6%
10 3
4.2%
11 1
 
1.4%
12 3
4.2%
13 5
6.9%
14 4
5.6%
15 2
 
2.8%
16 3
4.2%
17 5
6.9%
ValueCountFrequency (%)
373 1
1.4%
343 1
1.4%
316 1
1.4%
296 1
1.4%
281 1
1.4%
272 1
1.4%
257 1
1.4%
248 1
1.4%
247 1
1.4%
245 1
1.4%

피부양자 자격취득신고
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35921.097
Minimum19513
Maximum63035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:32.698904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19513
5-th percentile23250.3
Q128150.25
median36279
Q341997
95-th percentile52699.3
Maximum63035
Range43522
Interquartile range (IQR)13846.75

Descriptive statistics

Standard deviation9604.8435
Coefficient of variation (CV)0.26738725
Kurtosis0.17159531
Mean35921.097
Median Absolute Deviation (MAD)7057.5
Skewness0.64268623
Sum2586319
Variance92253019
MonotonicityNot monotonic
2023-12-13T06:09:33.207040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31085 1
 
1.4%
42642 1
 
1.4%
39545 1
 
1.4%
37280 1
 
1.4%
43411 1
 
1.4%
52099 1
 
1.4%
44223 1
 
1.4%
63035 1
 
1.4%
39550 1
 
1.4%
29933 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
19513 1
1.4%
22336 1
1.4%
23229 1
1.4%
23247 1
1.4%
23253 1
1.4%
23386 1
1.4%
23668 1
1.4%
23794 1
1.4%
24088 1
1.4%
25688 1
1.4%
ValueCountFrequency (%)
63035 1
1.4%
62134 1
1.4%
55612 1
1.4%
53433 1
1.4%
52099 1
1.4%
50092 1
1.4%
49750 1
1.4%
46621 1
1.4%
46036 1
1.4%
45770 1
1.4%

피부양자 자격상실신고
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539.76389
Minimum297
Maximum778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:33.384020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum297
5-th percentile353
Q1450.75
median556.5
Q3617.25
95-th percentile734.15
Maximum778
Range481
Interquartile range (IQR)166.5

Descriptive statistics

Standard deviation115.05216
Coefficient of variation (CV)0.21315276
Kurtosis-0.6573227
Mean539.76389
Median Absolute Deviation (MAD)81.5
Skewness-0.048742916
Sum38863
Variance13237
MonotonicityNot monotonic
2023-12-13T06:09:33.542630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
474 3
 
4.2%
353 3
 
4.2%
578 2
 
2.8%
621 2
 
2.8%
777 1
 
1.4%
618 1
 
1.4%
606 1
 
1.4%
659 1
 
1.4%
738 1
 
1.4%
684 1
 
1.4%
Other values (56) 56
77.8%
ValueCountFrequency (%)
297 1
 
1.4%
333 1
 
1.4%
353 3
4.2%
358 1
 
1.4%
360 1
 
1.4%
388 1
 
1.4%
394 1
 
1.4%
397 1
 
1.4%
403 1
 
1.4%
406 1
 
1.4%
ValueCountFrequency (%)
778 1
1.4%
777 1
1.4%
747 1
1.4%
738 1
1.4%
731 1
1.4%
715 1
1.4%
684 1
1.4%
678 1
1.4%
659 1
1.4%
655 1
1.4%
Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12106.931
Minimum6800
Maximum25504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:33.684361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6800
5-th percentile7340.15
Q18650.25
median10883
Q314171.5
95-th percentile21232.45
Maximum25504
Range18704
Interquartile range (IQR)5521.25

Descriptive statistics

Standard deviation4505.1484
Coefficient of variation (CV)0.37211318
Kurtosis0.74348
Mean12106.931
Median Absolute Deviation (MAD)2795.5
Skewness1.1368185
Sum871699
Variance20296362
MonotonicityNot monotonic
2023-12-13T06:09:33.849921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10883 2
 
2.8%
13947 1
 
1.4%
6800 1
 
1.4%
7963 1
 
1.4%
23466 1
 
1.4%
9185 1
 
1.4%
15795 1
 
1.4%
7573 1
 
1.4%
6822 1
 
1.4%
11725 1
 
1.4%
Other values (61) 61
84.7%
ValueCountFrequency (%)
6800 1
1.4%
6822 1
1.4%
6869 1
1.4%
7311 1
1.4%
7364 1
1.4%
7470 1
1.4%
7573 1
1.4%
7656 1
1.4%
7698 1
1.4%
7736 1
1.4%
ValueCountFrequency (%)
25504 1
1.4%
23887 1
1.4%
23466 1
1.4%
22696 1
1.4%
20035 1
1.4%
19465 1
1.4%
18998 1
1.4%
18296 1
1.4%
18188 1
1.4%
17656 1
1.4%

휴직자 납부유예 신청서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21018.056
Minimum10368
Maximum49968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:34.013788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10368
5-th percentile11180.9
Q114734
median20341.5
Q325775.5
95-th percentile33865.5
Maximum49968
Range39600
Interquartile range (IQR)11041.5

Descriptive statistics

Standard deviation7997.9148
Coefficient of variation (CV)0.38052591
Kurtosis2.0618189
Mean21018.056
Median Absolute Deviation (MAD)5529
Skewness1.1771256
Sum1513300
Variance63966641
MonotonicityNot monotonic
2023-12-13T06:09:34.185139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12050 1
 
1.4%
17209 1
 
1.4%
23243 1
 
1.4%
22418 1
 
1.4%
24142 1
 
1.4%
44466 1
 
1.4%
20389 1
 
1.4%
25743 1
 
1.4%
20294 1
 
1.4%
19217 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
10368 1
1.4%
10878 1
1.4%
10996 1
1.4%
11127 1
1.4%
11225 1
1.4%
11662 1
1.4%
11754 1
1.4%
11799 1
1.4%
12050 1
1.4%
12323 1
1.4%
ValueCountFrequency (%)
49968 1
1.4%
44466 1
1.4%
41227 1
1.4%
34003 1
1.4%
33753 1
1.4%
31319 1
1.4%
30843 1
1.4%
29595 1
1.4%
28801 1
1.4%
28388 1
1.4%

보수월액 변경신청서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39644.708
Minimum15759
Maximum83899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:34.343138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15759
5-th percentile19721.1
Q128897
median39680.5
Q348528.75
95-th percentile63331.45
Maximum83899
Range68140
Interquartile range (IQR)19631.75

Descriptive statistics

Standard deviation14099.349
Coefficient of variation (CV)0.35564265
Kurtosis0.35862159
Mean39644.708
Median Absolute Deviation (MAD)10440
Skewness0.58222511
Sum2854419
Variance1.9879165 × 108
MonotonicityNot monotonic
2023-12-13T06:09:34.512168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30552 1
 
1.4%
51492 1
 
1.4%
48774 1
 
1.4%
51874 1
 
1.4%
62395 1
 
1.4%
51264 1
 
1.4%
56322 1
 
1.4%
73730 1
 
1.4%
33616 1
 
1.4%
34667 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
15759 1
1.4%
16103 1
1.4%
18320 1
1.4%
19016 1
1.4%
20298 1
1.4%
20992 1
1.4%
21772 1
1.4%
21935 1
1.4%
22310 1
1.4%
23685 1
1.4%
ValueCountFrequency (%)
83899 1
1.4%
73730 1
1.4%
67033 1
1.4%
64476 1
1.4%
62395 1
1.4%
59193 1
1.4%
58602 1
1.4%
57463 1
1.4%
56322 1
1.4%
53785 1
1.4%

보수총액 통보서
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75837.181
Minimum0
Maximum667584
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:34.689538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.65
Q1520.75
median5953.5
Q340996.5
95-th percentile390222.3
Maximum667584
Range667584
Interquartile range (IQR)40475.75

Descriptive statistics

Standard deviation148703.65
Coefficient of variation (CV)1.9608278
Kurtosis6.5652655
Mean75837.181
Median Absolute Deviation (MAD)5915
Skewness2.5811273
Sum5460277
Variance2.2112776 × 1010
MonotonicityNot monotonic
2023-12-13T06:09:34.847555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
810 2
 
2.8%
3206 1
 
1.4%
238949 1
 
1.4%
29193 1
 
1.4%
565905 1
 
1.4%
543614 1
 
1.4%
4185 1
 
1.4%
152 1
 
1.4%
388 1
 
1.4%
176 1
 
1.4%
Other values (61) 61
84.7%
ValueCountFrequency (%)
0 1
1.4%
4 1
1.4%
9 1
1.4%
25 1
1.4%
28 1
1.4%
49 1
1.4%
101 1
1.4%
120 1
1.4%
143 1
1.4%
152 1
1.4%
ValueCountFrequency (%)
667584 1
1.4%
598041 1
1.4%
565905 1
1.4%
543614 1
1.4%
264720 1
1.4%
257558 1
1.4%
252946 1
1.4%
238949 1
1.4%
216132 1
1.4%
197762 1
1.4%

보험료 납부확인서 발급
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23731.722
Minimum13065
Maximum46833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:09:35.002776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13065
5-th percentile15442.55
Q120036.25
median22911.5
Q325779
95-th percentile34872.5
Maximum46833
Range33768
Interquartile range (IQR)5742.75

Descriptive statistics

Standard deviation6318.7745
Coefficient of variation (CV)0.26625857
Kurtosis4.1876619
Mean23731.722
Median Absolute Deviation (MAD)2878
Skewness1.6523131
Sum1708684
Variance39926911
MonotonicityNot monotonic
2023-12-13T06:09:35.143053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17609 1
 
1.4%
27792 1
 
1.4%
25931 1
 
1.4%
22293 1
 
1.4%
24354 1
 
1.4%
29219 1
 
1.4%
25748 1
 
1.4%
26673 1
 
1.4%
40933 1
 
1.4%
27350 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
13065 1
1.4%
14236 1
1.4%
15052 1
1.4%
15409 1
1.4%
15470 1
1.4%
17408 1
1.4%
17609 1
1.4%
17666 1
1.4%
18115 1
1.4%
18187 1
1.4%
ValueCountFrequency (%)
46833 1
1.4%
46751 1
1.4%
40933 1
1.4%
38233 1
1.4%
32123 1
1.4%
31823 1
1.4%
31307 1
1.4%
29221 1
1.4%
29219 1
1.4%
28566 1
1.4%

Interactions

2023-12-13T06:09:27.595834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.288520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.614435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.836282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.567855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.043763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.664656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.166865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:16.920367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.352451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.651333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.085265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.671950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.366827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.917151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.685165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.371535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.694606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.907211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.669244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.121931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.786975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.267987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.033785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.434016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.727427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.171543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.766196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.462100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.047713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.810049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.470385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.773133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.987017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.763823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.215802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.886621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.392149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.127897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.537843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.808415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.269748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.868788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.556588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.168087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.908514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.574912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.851438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:09.057010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.858999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.325523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.989845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.479661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.231256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.647824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.900018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.377026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.981365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.653887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.254770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:28.029675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.692308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.942913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:09.142966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.955016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.447172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.084929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.586627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.328250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.737698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.005630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.481795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.100856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.776461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.380455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:28.138659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.784512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.018895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:09.226929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.043875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.567008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.160981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.662279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.416651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.810752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.098113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.568657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.217919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.874227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.503569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:28.231809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.881640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.098204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:09.327746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.129405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.682113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.245117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.745799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.516863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.883682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.200802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.666105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.324458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.961871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.618315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:28.338656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:06.968243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.172030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:09.414750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.212033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.769306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.338830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.838685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.607805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.959095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.296083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.744085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.403125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.067748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.735735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:28.444824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.049079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.281026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:09.498290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.302527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:12.885227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.441617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.941700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.695998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.041540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.404881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.834043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.528157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.186289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.851877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:28.873128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.125815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.366376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:09.893598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.381741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.000280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.519017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:16.025319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.783159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.113644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.495429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.918971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.680908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.283139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:26.936970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:28.963281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.212193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.444242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.053895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.475622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.103752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.619483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:16.433100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.892948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.193534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.606074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:21.997151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.775697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.377194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.027966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:29.082393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.298252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.525867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.158252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.587047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.225613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.730831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:16.528771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:17.986217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.280142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.712616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.330363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.875811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.492292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.131984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:29.214006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.376501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.608451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.291274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.707494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.336531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.851780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:16.640203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.084358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.366021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.802625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.415682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:23.982792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.608531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.259846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:29.321738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.453024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.684995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.372870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.808572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.443390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:14.962804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:16.737531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.172600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.444198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.890021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.496671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.083714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.713515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.382134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:29.430190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:07.534429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:08.762863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:10.464605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:11.915200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:13.567430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:15.062424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:16.836464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:18.260030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:19.553612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:20.985111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:22.587360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:24.260675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:25.820838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:27.480458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:09:35.260988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월사업장 내역변경신고사업장 탈퇴신고사업장가입자 명부발급사업장가입자 자격취득신고사업장가입자 상실신고사업장가입자 내역변경건강보험증신고서피부양자 자격취득신고피부양자 자격상실신고직장가입자 변동통보서휴직자 납부유예 신청서보수월액 변경신청서보수총액 통보서보험료 납부확인서 발급
연월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
1.0001.0000.7050.4160.7080.6500.6330.6850.2630.7450.6780.4090.7300.6150.8120.513
사업장 내역변경신고1.0000.7051.0000.3830.7280.8530.6810.8100.0000.8230.7850.6530.8040.7970.5940.389
사업장 탈퇴신고1.0000.4160.3831.0000.5200.6050.8160.7130.6640.8200.3760.6270.6730.7160.0000.844
사업장가입자 명부발급1.0000.7080.7280.5201.0000.7970.6320.7370.7090.8430.7860.0000.5770.8560.6760.693
사업장가입자 자격취득신고1.0000.6500.8530.6050.7971.0000.8430.8540.3880.8250.6970.6980.8410.6100.4840.545
사업장가입자 상실신고1.0000.6330.6810.8160.6320.8431.0000.6460.6140.7040.6520.5150.8820.7000.3080.603
사업장가입자 내역변경1.0000.6850.8100.7130.7370.8540.6461.0000.3910.7680.4920.3200.6800.7290.2620.582
건강보험증신고서1.0000.2630.0000.6640.7090.3880.6140.3911.0000.3520.5440.0000.4180.0000.6370.644
피부양자 자격취득신고1.0000.7450.8230.8200.8430.8250.7040.7680.3521.0000.8570.7120.6450.8700.5470.667
피부양자 자격상실신고1.0000.6780.7850.3760.7860.6970.6520.4920.5440.8571.0000.6040.5540.8180.0000.427
직장가입자 변동통보서1.0000.4090.6530.6270.0000.6980.5150.3200.0000.7120.6041.0000.7360.5180.2580.000
휴직자 납부유예 신청서1.0000.7300.8040.6730.5770.8410.8820.6800.4180.6450.5540.7361.0000.2740.6280.431
보수월액 변경신청서1.0000.6150.7970.7160.8560.6100.7000.7290.0000.8700.8180.5180.2741.0000.5590.421
보수총액 통보서1.0000.8120.5940.0000.6760.4840.3080.2620.6370.5470.0000.2580.6280.5591.0000.000
보험료 납부확인서 발급1.0000.5130.3890.8440.6930.5450.6030.5820.6440.6670.4270.0000.4310.4210.0001.000
2023-12-13T06:09:35.443787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장 내역변경신고사업장 탈퇴신고사업장가입자 명부발급사업장가입자 자격취득신고사업장가입자 상실신고사업장가입자 내역변경건강보험증신고서피부양자 자격취득신고피부양자 자격상실신고직장가입자 변동통보서휴직자 납부유예 신청서보수월액 변경신청서보수총액 통보서보험료 납부확인서 발급
1.0000.8410.6380.8610.7810.7880.794-0.3580.8500.8310.3250.7910.8330.6850.586
사업장 내역변경신고0.8411.0000.7110.8100.9100.8740.892-0.4660.8290.7990.3060.8810.7690.3980.539
사업장 탈퇴신고0.6380.7111.0000.7900.7930.8700.836-0.6160.8330.7410.2510.6940.7030.0540.727
사업장가입자 명부발급0.8610.8100.7901.0000.7770.8060.838-0.4760.8920.8360.1730.6840.8440.4730.736
사업장가입자 자격취득신고0.7810.9100.7930.7771.0000.9720.924-0.4900.8300.7780.3490.9320.7340.2820.552
사업장가입자 상실신고0.7880.8740.8700.8060.9721.0000.910-0.4840.8880.8140.4080.9130.7600.2580.604
사업장가입자 내역변경0.7940.8920.8360.8380.9240.9101.000-0.6480.8300.7650.1600.8590.7610.2920.670
건강보험증신고서-0.358-0.466-0.616-0.476-0.490-0.484-0.6481.000-0.374-0.3620.180-0.464-0.3420.045-0.551
피부양자 자격취득신고0.8500.8290.8330.8920.8300.8880.830-0.3741.0000.9320.3850.7740.8730.4270.658
피부양자 자격상실신고0.8310.7990.7410.8360.7780.8140.765-0.3620.9321.0000.3340.7750.8670.4660.579
직장가입자 변동통보서0.3250.3060.2510.1730.3490.4080.1600.1800.3850.3341.0000.4160.2270.185-0.020
휴직자 납부유예 신청서0.7910.8810.6940.6840.9320.9130.859-0.4640.7740.7750.4161.0000.6660.3300.458
보수월액 변경신청서0.8330.7690.7030.8440.7340.7600.761-0.3420.8730.8670.2270.6661.0000.5840.505
보수총액 통보서0.6850.3980.0540.4730.2820.2580.2920.0450.4270.4660.1850.3300.5841.0000.112
보험료 납부확인서 발급0.5860.5390.7270.7360.5520.6040.670-0.5510.6580.579-0.0200.4580.5050.1121.000

Missing values

2023-12-13T06:09:29.615135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:09:29.858719image/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

연월사업장 내역변경신고사업장 탈퇴신고사업장가입자 명부발급사업장가입자 자격취득신고사업장가입자 상실신고사업장가입자 내역변경건강보험증신고서피부양자 자격취득신고피부양자 자격상실신고직장가입자 변동통보서휴직자 납부유예 신청서보수월액 변경신청서보수총액 통보서보험료 납부확인서 발급
02017-013212843626173436361780339130299234331085444139471205030552320617609
12017-02427438449512684676972077760531217316274904749459103683051612508521851
22017-03543118582110333934710465510228015543733267853317656256322821016440918937
32017-043043414241102035709810627842611322452379436077361166234735874915470
42017-05297223311194234663731577510892524823229358819111799289521887417666
52017-063095963356112336779772677925097025723247388848511754247392365218329
62017-073019583612126333861791338617397123426788353141451310725254282814236
72017-08279423312210753220175731809129582472408839410104134612193514315052
82017-0929923048111086321798595885171981230232533531118516276223102815409
92017-10222286263110602688160400631136811781951329773641099616103413065
연월사업장 내역변경신고사업장 탈퇴신고사업장가입자 명부발급사업장가입자 자격취득신고사업장가입자 상실신고사업장가입자 내역변경건강보험증신고서피부양자 자격취득신고피부양자 자격상실신고직장가입자 변동통보서휴직자 납부유예 신청서보수월액 변경신청서보수총액 통보서보험료 납부확인서 발급
622022-031215767100542208592371622181666825455205343367825504499685304859804129221
632022-045492508818213456396136609135930499214451846091006727537670332978724140
642022-0576823369911756554111335421359364680254364260310586265415919326472024607
652022-0674117067662146532661298511374554583133825258010883265335202425294625872
662022-075392517326244253780137185151056475117454796411818831319517911181123465
672022-0849609869772344489121318811414824414939689592142303084348447228823990
682022-0950600982762447484031356061441934384134091461617131340034676762122635
692022-1046783862742335481401280741336424414173680257810883271064355834925666
702022-11500564628325255549313327913932948251742878602112252639044359153631823
712022-1252118663692815558331256751413175116185561261912310258734206881046751