Overview

Dataset statistics

Number of variables10
Number of observations121
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory90.1 B

Variable types

Numeric9
Categorical1

Dataset

Description산재보험의 보상과 요양 관련 보험급여 지급 등과 관련한 각종 통계자료(요양급여, 휴업급여, 상병보상연금 등) *2012년 ~ 2022년 데이터
URLhttps://www.data.go.kr/data/3077238/fileData.do

Alerts

요양급여(원) is highly overall correlated with 휴업급여 and 7 other fieldsHigh correlation
휴업급여 is highly overall correlated with 요양급여(원) and 6 other fieldsHigh correlation
상병보상연금 is highly overall correlated with 요양급여(원) and 7 other fieldsHigh correlation
장해급여(일시금및연금) is highly overall correlated with 요양급여(원) and 7 other fieldsHigh correlation
유족급여(일시금및연금) is highly overall correlated with 요양급여(원) and 6 other fieldsHigh correlation
장례비 is highly overall correlated with 요양급여(원) and 7 other fieldsHigh correlation
간병급여 is highly overall correlated with 요양급여(원) and 7 other fieldsHigh correlation
재활급여 is highly overall correlated with 요양급여(원) and 7 other fieldsHigh correlation
구분 is highly overall correlated with 요양급여(원) and 5 other fieldsHigh correlation
요양급여(원) has unique valuesUnique
휴업급여 has unique valuesUnique
상병보상연금 has unique valuesUnique
장해급여(일시금및연금) has unique valuesUnique
유족급여(일시금및연금) has unique valuesUnique
장례비 has unique valuesUnique
간병급여 has unique valuesUnique
재활급여 has 8 (6.6%) zerosZeros

Reproduction

Analysis started2023-12-12 15:52:07.012580
Analysis finished2023-12-12 15:52:16.974599
Duration9.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct11
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017
Minimum2012
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:17.040483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2017
Q32020
95-th percentile2022
Maximum2022
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.1754265
Coefficient of variation (CV)0.0015743314
Kurtosis-1.2206808
Mean2017
Median Absolute Deviation (MAD)3
Skewness0
Sum244057
Variance10.083333
MonotonicityIncreasing
2023-12-13T00:52:17.211776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2012 11
9.1%
2013 11
9.1%
2014 11
9.1%
2015 11
9.1%
2016 11
9.1%
2017 11
9.1%
2018 11
9.1%
2019 11
9.1%
2020 11
9.1%
2021 11
9.1%
ValueCountFrequency (%)
2012 11
9.1%
2013 11
9.1%
2014 11
9.1%
2015 11
9.1%
2016 11
9.1%
2017 11
9.1%
2018 11
9.1%
2019 11
9.1%
2020 11
9.1%
2021 11
9.1%
ValueCountFrequency (%)
2022 11
9.1%
2021 11
9.1%
2020 11
9.1%
2019 11
9.1%
2018 11
9.1%
2017 11
9.1%
2016 11
9.1%
2015 11
9.1%
2014 11
9.1%
2013 11
9.1%

구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전산업
11 
금융및보험업
11 
광업
11 
제조업
11 
건설업
11 
Other values (7)
66 

Length

Max length11
Median length10
Mean length4.2809917
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row전산업
2nd row금융및보험업
3rd row광업
4th row제조업
5th row전기·가스및상수도사업

Common Values

ValueCountFrequency (%)
전산업 11
9.1%
금융및보험업 11
9.1%
광업 11
9.1%
제조업 11
9.1%
건설업 11
9.1%
운송·창고및통신업 11
9.1%
임업 11
9.1%
어업 11
9.1%
농업 11
9.1%
기타의사업 11
9.1%
Other values (2) 11
9.1%

Length

2023-12-13T00:52:17.369241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전산업 11
9.1%
금융및보험업 11
9.1%
광업 11
9.1%
제조업 11
9.1%
건설업 11
9.1%
운송·창고및통신업 11
9.1%
임업 11
9.1%
어업 11
9.1%
농업 11
9.1%
기타의사업 11
9.1%
Other values (2) 11
9.1%

요양급여(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7742392 × 1011
Minimum3.4237609 × 108
Maximum1.3606775 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:17.497622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4237609 × 108
5-th percentile6.538233 × 108
Q14.4999579 × 109
median4.6339209 × 1010
Q32.393076 × 1011
95-th percentile8.38072 × 1011
Maximum1.3606775 × 1012
Range1.3603351 × 1012
Interquartile range (IQR)2.3480764 × 1011

Descriptive statistics

Standard deviation2.8920235 × 1011
Coefficient of variation (CV)1.6300077
Kurtosis6.096241
Mean1.7742392 × 1011
Median Absolute Deviation (MAD)4.4821158 × 1010
Skewness2.4512068
Sum2.1468294 × 1013
Variance8.3638002 × 1022
MonotonicityNot monotonic
2023-12-13T00:52:17.691541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
718016983380 1
 
0.8%
377256092720 1
 
0.8%
6726558420 1
 
0.8%
1309810379990 1
 
0.8%
272551852420 1
 
0.8%
6042438150 1
 
0.8%
692002840 1
 
0.8%
8375612920 1
 
0.8%
61361759120 1
 
0.8%
325693453450 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
342376090 1
0.8%
430118430 1
0.8%
514418800 1
0.8%
521383260 1
0.8%
546969860 1
0.8%
573613010 1
0.8%
653823300 1
0.8%
692002840 1
0.8%
780359840 1
0.8%
789868620 1
0.8%
ValueCountFrequency (%)
1360677471480 1
0.8%
1316455994760 1
0.8%
1309810379990 1
0.8%
1085076361740 1
0.8%
1015138464070 1
0.8%
843740847280 1
0.8%
838072003810 1
0.8%
783256186350 1
0.8%
740573802200 1
0.8%
723328411610 1
0.8%

휴업급여
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9779832 × 1011
Minimum2.8853963 × 108
Maximum1.6933995 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:17.880988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8853963 × 108
5-th percentile5.3178194 × 108
Q12.9126519 × 109
median3.0351104 × 1010
Q32.8805912 × 1011
95-th percentile8.7667248 × 1011
Maximum1.6933995 × 1012
Range1.693111 × 1012
Interquartile range (IQR)2.8514647 × 1011

Descriptive statistics

Standard deviation3.3640999 × 1011
Coefficient of variation (CV)1.7007727
Kurtosis6.6477851
Mean1.9779832 × 1011
Median Absolute Deviation (MAD)2.9630684 × 1010
Skewness2.4870762
Sum2.3933597 × 1013
Variance1.1317168 × 1023
MonotonicityNot monotonic
2023-12-13T00:52:18.023979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
724161626100 1
 
0.8%
459561032470 1
 
0.8%
3332036260 1
 
0.8%
1413340282560 1
 
0.8%
314510412120 1
 
0.8%
5977071560 1
 
0.8%
725525710 1
 
0.8%
14192520440 1
 
0.8%
63816759550 1
 
0.8%
460723452670 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
288539630 1
0.8%
299049610 1
0.8%
301592190 1
0.8%
342776660 1
0.8%
361378750 1
0.8%
461759170 1
0.8%
531781940 1
0.8%
575075590 1
0.8%
606268200 1
0.8%
680047190 1
0.8%
ValueCountFrequency (%)
1693399494980 1
0.8%
1583963213850 1
0.8%
1413340282560 1
0.8%
1319084657040 1
0.8%
1107405266420 1
0.8%
921179158450 1
0.8%
876672482040 1
0.8%
816880625830 1
0.8%
779382228130 1
0.8%
731329366960 1
0.8%

상병보상연금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8678927 × 1010
Minimum53896650
Maximum1.952111 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:18.177682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53896650
5-th percentile1.1207917 × 108
Q15.893447 × 108
median7.1887793 × 109
Q33.7067767 × 1010
95-th percentile1.5263953 × 1011
Maximum1.952111 × 1011
Range1.9515721 × 1011
Interquartile range (IQR)3.6478422 × 1010

Descriptive statistics

Standard deviation4.5109594 × 1010
Coefficient of variation (CV)1.5729178
Kurtosis4.0571816
Mean2.8678927 × 1010
Median Absolute Deviation (MAD)7.0804015 × 109
Skewness2.1791574
Sum3.4701502 × 1012
Variance2.0348754 × 1021
MonotonicityNot monotonic
2023-12-13T00:52:18.344481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195211104890 1
 
0.8%
34058499300 1
 
0.8%
1988986030 1
 
0.8%
146042930370 1
 
0.8%
21487597680 1
 
0.8%
434116860 1
 
0.8%
112079170 1
 
0.8%
645284230 1
 
0.8%
7305116090 1
 
0.8%
41061898870 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
53896650 1
0.8%
55610090 1
0.8%
64955870 1
0.8%
104453570 1
0.8%
107289440 1
0.8%
108377740 1
0.8%
112079170 1
0.8%
115290740 1
0.8%
116939160 1
0.8%
138103090 1
0.8%
ValueCountFrequency (%)
195211104890 1
0.8%
169397446650 1
0.8%
166515580510 1
0.8%
162571665700 1
0.8%
158876975710 1
0.8%
154100630950 1
0.8%
152639525910 1
0.8%
148719616380 1
0.8%
146042930370 1
0.8%
143921373470 1
0.8%

장해급여(일시금및연금)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5898912 × 1011
Minimum8.7432957 × 108
Maximum2.5448259 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:18.501032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.7432957 × 108
5-th percentile9.9842856 × 108
Q15.6940938 × 109
median8.3241339 × 1010
Q35.9701569 × 1011
95-th percentile1.7725027 × 1012
Maximum2.5448259 × 1012
Range2.5439516 × 1012
Interquartile range (IQR)5.9132159 × 1011

Descriptive statistics

Standard deviation5.7953432 × 1011
Coefficient of variation (CV)1.6143506
Kurtosis4.2481345
Mean3.5898912 × 1011
Median Absolute Deviation (MAD)8.2074004 × 1010
Skewness2.1747166
Sum4.3437684 × 1013
Variance3.3586003 × 1023
MonotonicityNot monotonic
2023-12-13T00:52:18.960496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1712958058080 1
 
0.8%
767861036400 1
 
0.8%
13121803050 1
 
0.8%
2257946875660 1
 
0.8%
271585083640 1
 
0.8%
4810481740 1
 
0.8%
998428560 1
 
0.8%
11116959200 1
 
0.8%
93277091880 1
 
0.8%
718938322840 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
874329570 1
0.8%
932206020 1
0.8%
935526620 1
0.8%
947117320 1
0.8%
967209340 1
0.8%
993827890 1
0.8%
998428560 1
0.8%
1021418790 1
0.8%
1082239000 1
0.8%
1167335340 1
0.8%
ValueCountFrequency (%)
2544825896820 1
0.8%
2434528221210 1
0.8%
2257946875660 1
0.8%
2157725159300 1
0.8%
1998757627330 1
0.8%
1832567545940 1
0.8%
1772502714970 1
0.8%
1712958058080 1
0.8%
1710783723310 1
0.8%
1667219394800 1
0.8%

유족급여(일시금및연금)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.123582 × 1011
Minimum3.5608476 × 108
Maximum8.8504259 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:19.123425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5608476 × 108
5-th percentile5.161764 × 108
Q14.234741 × 109
median3.8764106 × 1010
Q31.3555904 × 1011
95-th percentile5.3871289 × 1011
Maximum8.8504259 × 1011
Range8.846865 × 1011
Interquartile range (IQR)1.3132429 × 1011

Descriptive statistics

Standard deviation1.7977848 × 1011
Coefficient of variation (CV)1.6000477
Kurtosis6.6311933
Mean1.123582 × 1011
Median Absolute Deviation (MAD)3.824793 × 1010
Skewness2.5679685
Sum1.3595342 × 1013
Variance3.2320303 × 1022
MonotonicityNot monotonic
2023-12-13T00:52:19.270220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
407497865540 1
 
0.8%
196217128720 1
 
0.8%
15021489830 1
 
0.8%
761244260860 1
 
0.8%
141231297580 1
 
0.8%
2621793050 1
 
0.8%
516176400 1
 
0.8%
5142689570 1
 
0.8%
46900785000 1
 
0.8%
190015326470 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
356084760 1
0.8%
366010650 1
0.8%
409138400 1
0.8%
429652990 1
0.8%
480366320 1
0.8%
511114610 1
0.8%
516176400 1
0.8%
536772720 1
0.8%
558749080 1
0.8%
600796180 1
0.8%
ValueCountFrequency (%)
885042588610 1
0.8%
821770243220 1
0.8%
761244260860 1
0.8%
710174239720 1
0.8%
656225422910 1
0.8%
589255274910 1
0.8%
538712886800 1
0.8%
508938057010 1
0.8%
476888697100 1
0.8%
441921698030 1
0.8%

장례비
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3126318 × 109
Minimum8794710
Maximum3.8765391 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:19.405543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8794710
5-th percentile25681820
Q11.6870475 × 108
median1.5710807 × 109
Q36.8150407 × 109
95-th percentile2.4917522 × 1010
Maximum3.8765391 × 1010
Range3.8756596 × 1010
Interquartile range (IQR)6.646336 × 109

Descriptive statistics

Standard deviation8.3508571 × 109
Coefficient of variation (CV)1.5718871
Kurtosis5.3601297
Mean5.3126318 × 109
Median Absolute Deviation (MAD)1.5457621 × 109
Skewness2.3852678
Sum6.4282845 × 1011
Variance6.9736815 × 1019
MonotonicityNot monotonic
2023-12-13T00:52:19.574812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23259205560 1
 
0.8%
7491076220 1
 
0.8%
267863580 1
 
0.8%
34179214710 1
 
0.8%
6858372460 1
 
0.8%
123518740 1
 
0.8%
24237760 1
 
0.8%
263252650 1
 
0.8%
2076489070 1
 
0.8%
8520262460 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
8794710 1
0.8%
9300770 1
0.8%
9539140 1
0.8%
12505590 1
0.8%
24237760 1
0.8%
25318640 1
0.8%
25681820 1
0.8%
28578280 1
0.8%
31128450 1
0.8%
32218280 1
0.8%
ValueCountFrequency (%)
38765390840 1
0.8%
34780558390 1
0.8%
34179214710 1
0.8%
32267572690 1
0.8%
31838396980 1
0.8%
27750762350 1
0.8%
24917522010 1
0.8%
24834954960 1
0.8%
24476600250 1
0.8%
24344043780 1
0.8%

간병급여
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8112853 × 109
Minimum32654520
Maximum5.7278869 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:19.753743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32654520
5-th percentile43808490
Q13.178519 × 108
median1.0782567 × 109
Q31.4512451 × 1010
95-th percentile5.3633135 × 1010
Maximum5.7278869 × 1010
Range5.7246214 × 1010
Interquartile range (IQR)1.4194599 × 1010

Descriptive statistics

Standard deviation1.5455684 × 1010
Coefficient of variation (CV)1.5752966
Kurtosis3.5050097
Mean9.8112853 × 109
Median Absolute Deviation (MAD)1.0369286 × 109
Skewness2.0778165
Sum1.1871655 × 1012
Variance2.3887817 × 1020
MonotonicityNot monotonic
2023-12-13T00:52:19.922151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51682184890 1
 
0.8%
14552762320 1
 
0.8%
714560490 1
 
0.8%
52002578710 1
 
0.8%
12332568240 1
 
0.8%
176582550 1
 
0.8%
44412430 1
 
0.8%
272322670 1
 
0.8%
5461267490 1
 
0.8%
18465333060 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
32654520 1
0.8%
34199880 1
0.8%
35847760 1
0.8%
36989250 1
0.8%
37207800 1
0.8%
41328070 1
0.8%
43808490 1
0.8%
44412430 1
0.8%
48145100 1
0.8%
55130280 1
0.8%
ValueCountFrequency (%)
57278868680 1
0.8%
56058078920 1
0.8%
55193235340 1
0.8%
54966320990 1
0.8%
54897259440 1
0.8%
54670911040 1
0.8%
53633134910 1
0.8%
52581988650 1
0.8%
52002578710 1
0.8%
51682184890 1
0.8%

재활급여
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct114
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3083443 × 109
Minimum0
Maximum2.3108208 × 1010
Zeros8
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:52:20.058409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129312190
median1.1211357 × 108
Q34.9923203 × 109
95-th percentile1.683216 × 1010
Maximum2.3108208 × 1010
Range2.3108208 × 1010
Interquartile range (IQR)4.9630081 × 109

Descriptive statistics

Standard deviation5.5170149 × 109
Coefficient of variation (CV)1.667606
Kurtosis3.6251919
Mean3.3083443 × 109
Median Absolute Deviation (MAD)1.1211357 × 108
Skewness2.0371772
Sum4.0030966 × 1011
Variance3.0437453 × 1019
MonotonicityNot monotonic
2023-12-13T00:52:20.189900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
6.6%
18500327120 1
 
0.8%
83075860 1
 
0.8%
22252810240 1
 
0.8%
5255053160 1
 
0.8%
157221400 1
 
0.8%
63489340 1
 
0.8%
886459300 1
 
0.8%
7195157320 1
 
0.8%
3600000 1
 
0.8%
Other values (104) 104
86.0%
ValueCountFrequency (%)
0 8
6.6%
1648640 1
 
0.8%
3600000 1
 
0.8%
3799950 1
 
0.8%
5350900 1
 
0.8%
6292740 1
 
0.8%
6294510 1
 
0.8%
7448640 1
 
0.8%
8708520 1
 
0.8%
11985470 1
 
0.8%
ValueCountFrequency (%)
23108208390 1
0.8%
22252810240 1
0.8%
20716789900 1
0.8%
20402560990 1
0.8%
20300338470 1
0.8%
18500327120 1
0.8%
16832159890 1
0.8%
14964677760 1
0.8%
14827690500 1
0.8%
14241968980 1
0.8%

Interactions

2023-12-13T00:52:15.836813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:07.389201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.343170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.286128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.116669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.052608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:12.444336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:13.551764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.745026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:15.938482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:07.502440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.436522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.397079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.196787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.200295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:12.526981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:13.700016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.870316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:16.029640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:07.617268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.550496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.498715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.282449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.347503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:12.632499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:13.851079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.990252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:16.112216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:07.740433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.666067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.587974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.367646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.496804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:12.751984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.000937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:15.119815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:16.228138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:07.858373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.772650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.691496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.467805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.627320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:12.896886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.130277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:15.250639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:16.331563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:07.958294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.883238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.777743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.563878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.743327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:13.022724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.236984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:15.375062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:16.431958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.066658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.973894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.859973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.675131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.855969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:13.172539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.349358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:15.483023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:16.534709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.177891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.093692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.959031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.821078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:11.967099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:13.307114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.508193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:15.604540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:16.625535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:08.262737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:09.189316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.039232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:10.938622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:12.353979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:13.432415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:14.623748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:15.718616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:52:20.272488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도구분요양급여(원)휴업급여상병보상연금장해급여(일시금및연금)유족급여(일시금및연금)장례비간병급여재활급여
연도1.0000.0000.1460.0000.0000.0000.0000.0000.0000.000
구분0.0001.0000.7700.6810.8480.8190.7280.8120.9780.813
요양급여(원)0.1460.7701.0000.9720.9340.8900.9480.8980.8120.873
휴업급여0.0000.6810.9721.0000.8320.9450.9640.9020.8410.878
상병보상연금0.0000.8480.9340.8321.0000.8450.8560.9200.8100.785
장해급여(일시금및연금)0.0000.8190.8900.9450.8451.0000.9360.9620.8190.885
유족급여(일시금및연금)0.0000.7280.9480.9640.8560.9361.0000.9220.8510.967
장례비0.0000.8120.8980.9020.9200.9620.9221.0000.8810.818
간병급여0.0000.9780.8120.8410.8100.8190.8510.8811.0000.862
재활급여0.0000.8130.8730.8780.7850.8850.9670.8180.8621.000
2023-12-13T00:52:20.394664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도요양급여(원)휴업급여상병보상연금장해급여(일시금및연금)유족급여(일시금및연금)장례비간병급여재활급여구분
연도1.0000.1420.1400.0010.1220.1720.125-0.0340.0310.000
요양급여(원)0.1421.0000.9930.8820.9720.9540.9730.9210.9150.506
휴업급여0.1400.9931.0000.8530.9580.9350.9590.9170.9380.365
상병보상연금0.0010.8820.8531.0000.9300.9380.9210.9120.7260.620
장해급여(일시금및연금)0.1220.9720.9580.9301.0000.9820.9730.9520.8580.510
유족급여(일시금및연금)0.1720.9540.9350.9380.9821.0000.9690.9480.8230.411
장례비0.1250.9730.9590.9210.9730.9691.0000.9260.8500.501
간병급여-0.0340.9210.9170.9120.9520.9480.9261.0000.8470.762
재활급여0.0310.9150.9380.7260.8580.8230.8500.8471.0000.512
구분0.0000.5060.3650.6200.5100.4110.5010.7620.5121.000

Missing values

2023-12-13T00:52:16.744058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:52:16.906635image/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

연도구분요양급여(원)휴업급여상병보상연금장해급여(일시금및연금)유족급여(일시금및연금)장례비간병급여재활급여
02012전산업7180169833807241616261001952111048901712958058080407497865540232592055605168218489018500327120
12012금융및보험업33339858801954668270140009719010673748450804703915017803667062526215071388790
22012광업780221898202735709121071461694150117714936170686282672003939555060107825669058651150
32012제조업235012617810278793110620361526377506132189719101108159085706375295810134168794608953219570
42012전기·가스및상수도사업13254003607204191701102329810509707869029824203102531864030946441016251980
52012건설업199011454430249537560130548281306906482689048201058841162706554429780173842207404374166480
62012운송·창고및통신업38289751370291100251308403251390799868502102705855091014991959105729821430712912180
72012임업91046824501387881182035795234012140636700375252390031427175031785190060188330
82012어업342376090299049610538966509322060203560847608794710326545200
92012농업330903986028619859302719807703799324810152164437014317562016268267024607910
연도구분요양급여(원)휴업급여상병보상연금장해급여(일시금및연금)유족급여(일시금및연금)장례비간병급여재활급여
1112022금융및보험업800023101054548407602107919940139410821401729110852028940425071077861027083070
1122022광업926698797705099043966029360277290369031000430140368837020743340461081301959083918100
1132022제조업378989506690522834749600324985718908693382370702321984229808478184670142032428607336430340
1142022전기·가스및상수도업2131678660123782439053467331059497474305527373870503272503044923600
1152022건설업3864576336905754775618104275921331083811979587023783264340010467200950174913248606311416880
1162022운송·창고및통신업91015100530115987025200604589252011119290445062626544630302488957051070682801099522590
1172022임업1033245296016652217730727485290120694813506503234800226511380259764620125544730
1182022어업789868620680047190156633220108223900040913840012505590369892500
1192022농업7875680480766069585049794295056121121703624679060226727580174953260163379980
1202022기타의사업338193962350396424092790223896232203184892969101786606059308556234990115165628705153042780