Overview

Dataset statistics

Number of variables19
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory174.2 B

Variable types

Numeric19

Dataset

Description연도별 공무원연금 수입계(기여금, 연금부담금, 정부보전금 등), 지출계(연금급여, 퇴직수당, 관리운영비 등) 수지내역 현황
URLhttps://www.data.go.kr/data/15054072/fileData.do

Alerts

구분 is highly overall correlated with 수입계(A) and 12 other fieldsHigh correlation
수입계(A) is highly overall correlated with 구분 and 12 other fieldsHigh correlation
기여금 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
연금부담금 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
정부보전금 is highly overall correlated with 구분 and 13 other fieldsHigh correlation
퇴직수당부담금 is highly overall correlated with 퇴직수당 and 2 other fieldsHigh correlation
재해보상부담금 is highly overall correlated with 구분 and 10 other fieldsHigh correlation
퇴직연금이체금 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
기금보전금 is highly overall correlated with 정부보전금 and 1 other fieldsHigh correlation
잡수익등 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
지출계(B) is highly overall correlated with 구분 and 14 other fieldsHigh correlation
연금급여 is highly overall correlated with 구분 and 14 other fieldsHigh correlation
퇴직수당 is highly overall correlated with 퇴직수당부담금 and 2 other fieldsHigh correlation
정부부담급여 is highly overall correlated with 구분 and 10 other fieldsHigh correlation
관리운영비등 is highly overall correlated with 구분 and 15 other fieldsHigh correlation
수지차(AB) is highly overall correlated with 퇴직수당부담금 and 7 other fieldsHigh correlation
결산잉여금전년도 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
결산잉여금금년도 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
연금수지차 is highly overall correlated with 퇴직수당부담금 and 7 other fieldsHigh correlation
구분 has unique valuesUnique
수입계(A) has unique valuesUnique
기여금 has unique valuesUnique
연금부담금 has unique valuesUnique
퇴직연금이체금 has unique valuesUnique
잡수익등 has unique valuesUnique
지출계(B) has unique valuesUnique
연금급여 has unique valuesUnique
관리운영비등 has unique valuesUnique
정부보전금 has 20 (48.8%) zerosZeros
퇴직수당부담금 has 20 (48.8%) zerosZeros
재해보상부담금 has 21 (51.2%) zerosZeros
퇴직연금이체금 has 1 (2.4%) zerosZeros
기금보전금 has 36 (87.8%) zerosZeros
퇴직수당 has 20 (48.8%) zerosZeros
정부부담급여 has 21 (51.2%) zerosZeros
수지차(AB) has 21 (51.2%) zerosZeros
결산잉여금전년도 has 29 (70.7%) zerosZeros
결산잉여금금년도 has 30 (73.2%) zerosZeros
연금수지차 has 21 (51.2%) zerosZeros

Reproduction

Analysis started2023-12-12 07:48:09.578865
Analysis finished2023-12-12 07:48:36.181186
Duration26.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2002
Minimum1982
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:36.248968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1982
5-th percentile1984
Q11992
median2002
Q32012
95-th percentile2020
Maximum2022
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.0059835907
Kurtosis-1.2
Mean2002
Median Absolute Deviation (MAD)10
Skewness0
Sum82082
Variance143.5
MonotonicityStrictly increasing
2023-12-12T16:48:36.367602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1982 1
 
2.4%
2013 1
 
2.4%
2005 1
 
2.4%
2006 1
 
2.4%
2007 1
 
2.4%
2008 1
 
2.4%
2009 1
 
2.4%
2010 1
 
2.4%
2011 1
 
2.4%
2012 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1982 1
2.4%
1983 1
2.4%
1984 1
2.4%
1985 1
2.4%
1986 1
2.4%
1987 1
2.4%
1988 1
2.4%
1989 1
2.4%
1990 1
2.4%
1991 1
2.4%
ValueCountFrequency (%)
2022 1
2.4%
2021 1
2.4%
2020 1
2.4%
2019 1
2.4%
2018 1
2.4%
2017 1
2.4%
2016 1
2.4%
2015 1
2.4%
2014 1
2.4%
2013 1
2.4%

수입계(A)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5866409.8
Minimum254638
Maximum18168364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:36.474977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum254638
5-th percentile371273
Q11272773
median4413954
Q38939065
95-th percentile15591159
Maximum18168364
Range17913726
Interquartile range (IQR)7666292

Descriptive statistics

Standard deviation5217537.6
Coefficient of variation (CV)0.88939194
Kurtosis-0.4744354
Mean5866409.8
Median Absolute Deviation (MAD)3776476
Skewness0.77515712
Sum2.405228 × 108
Variance2.7222698 × 1013
MonotonicityNot monotonic
2023-12-12T16:48:36.578199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
254638 1
 
2.4%
9483603 1
 
2.4%
5899167 1
 
2.4%
6177531 1
 
2.4%
6805369 1
 
2.4%
7829292 1
 
2.4%
7630780 1
 
2.4%
8423210 1
 
2.4%
8939065 1
 
2.4%
8894942 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
254638 1
2.4%
363675 1
2.4%
371273 1
2.4%
372425 1
2.4%
407577 1
2.4%
460008 1
2.4%
542989 1
2.4%
637478 1
2.4%
797351 1
2.4%
984948 1
2.4%
ValueCountFrequency (%)
18168364 1
2.4%
16688028 1
2.4%
15591159 1
2.4%
14575048 1
2.4%
13665020 1
2.4%
12837895 1
2.4%
12090062 1
2.4%
11428995 1
2.4%
10269583 1
2.4%
9483603 1
2.4%

기여금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2125960.4
Minimum128873
Maximum6291729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:36.691336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128873
5-th percentile208286
Q1574423
median1655832
Q33268348
95-th percentile6039884
Maximum6291729
Range6162856
Interquartile range (IQR)2693925

Descriptive statistics

Standard deviation1899954.7
Coefficient of variation (CV)0.89369242
Kurtosis-0.26169757
Mean2125960.4
Median Absolute Deviation (MAD)1249576
Skewness0.92446361
Sum87164378
Variance3.609828 × 1012
MonotonicityNot monotonic
2023-12-12T16:48:36.792355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
128873 1
 
2.4%
3371481 1
 
2.4%
2004461 1
 
2.4%
2132103 1
 
2.4%
2202005 1
 
2.4%
2345226 1
 
2.4%
2307879 1
 
2.4%
2814036 1
 
2.4%
3020121 1
 
2.4%
3268348 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
128873 1
2.4%
205711 1
2.4%
208286 1
2.4%
212549 1
2.4%
212584 1
2.4%
229952 1
2.4%
274784 1
2.4%
322228 1
2.4%
406256 1
2.4%
482962 1
2.4%
ValueCountFrequency (%)
6291729 1
2.4%
6208835 1
2.4%
6039884 1
2.4%
5710728 1
2.4%
5337564 1
2.4%
4867633 1
2.4%
4469181 1
2.4%
3818541 1
2.4%
3539936 1
2.4%
3371481 1
2.4%

연금부담금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2344920.7
Minimum122758
Maximum7299673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:37.126185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122758
5-th percentile150176
Q1560266
median1750735
Q33878833
95-th percentile6894638
Maximum7299673
Range7176915
Interquartile range (IQR)3318567

Descriptive statistics

Standard deviation2213065.5
Coefficient of variation (CV)0.94376987
Kurtosis-0.28925778
Mean2344920.7
Median Absolute Deviation (MAD)1371200
Skewness0.94776668
Sum96141749
Variance4.897659 × 1012
MonotonicityNot monotonic
2023-12-12T16:48:37.260965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
122758 1
 
2.4%
4058735 1
 
2.4%
2051159 1
 
2.4%
2232993 1
 
2.4%
2323836 1
 
2.4%
2441985 1
 
2.4%
2477506 1
 
2.4%
3093527 1
 
2.4%
3510969 1
 
2.4%
3878833 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
122758 1
2.4%
144106 1
2.4%
150176 1
2.4%
155470 1
2.4%
193092 1
2.4%
219596 1
2.4%
261960 1
2.4%
306365 1
2.4%
379535 1
2.4%
464910 1
2.4%
ValueCountFrequency (%)
7299673 1
2.4%
7038078 1
2.4%
6894638 1
2.4%
6478363 1
2.4%
5973515 1
2.4%
5514647 1
2.4%
5170030 1
2.4%
4347892 1
2.4%
4120138 1
2.4%
4058735 1
2.4%

정부보전금
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean903440.85
Minimum0
Maximum4445087
Zeros20
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:37.368339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median54777
Q31902773
95-th percentile3072737
Maximum4445087
Range4445087
Interquartile range (IQR)1902773

Descriptive statistics

Standard deviation1196260.3
Coefficient of variation (CV)1.3241158
Kurtosis0.37734803
Mean903440.85
Median Absolute Deviation (MAD)54777
Skewness1.1176247
Sum37041075
Variance1.4310387 × 1012
MonotonicityNot monotonic
2023-12-12T16:48:37.475515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 20
48.8%
1998177 1
 
2.4%
4445087 1
 
2.4%
3239996 1
 
2.4%
2564405 1
 
2.4%
2056271 1
 
2.4%
2280553 1
 
2.4%
2282011 1
 
2.4%
2318853 1
 
2.4%
3072737 1
 
2.4%
Other values (12) 12
29.3%
ValueCountFrequency (%)
0 20
48.8%
54777 1
 
2.4%
59861 1
 
2.4%
174202 1
 
2.4%
609568 1
 
2.4%
647675 1
 
2.4%
989184 1
 
2.4%
1307172 1
 
2.4%
1357745 1
 
2.4%
1429360 1
 
2.4%
ValueCountFrequency (%)
4445087 1
2.4%
3239996 1
2.4%
3072737 1
2.4%
2564405 1
2.4%
2554768 1
2.4%
2318853 1
2.4%
2282011 1
2.4%
2280553 1
2.4%
2056271 1
2.4%
1998177 1
2.4%

퇴직수당부담금
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431380.54
Minimum0
Maximum2280149
Zeros20
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:37.558712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14237
Q3843744
95-th percentile1297319
Maximum2280149
Range2280149
Interquartile range (IQR)843744

Descriptive statistics

Standard deviation567221.31
Coefficient of variation (CV)1.3148978
Kurtosis1.2618557
Mean431380.54
Median Absolute Deviation (MAD)14237
Skewness1.276909
Sum17686602
Variance3.2174002 × 1011
MonotonicityNot monotonic
2023-12-12T16:48:37.646036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 20
48.8%
521587 1
 
2.4%
1000072 1
 
2.4%
1133252 1
 
2.4%
884092 1
 
2.4%
1539397 1
 
2.4%
1230010 1
 
2.4%
1122224 1
 
2.4%
1196150 1
 
2.4%
843744 1
 
2.4%
Other values (12) 12
29.3%
ValueCountFrequency (%)
0 20
48.8%
14237 1
 
2.4%
121337 1
 
2.4%
246761 1
 
2.4%
307232 1
 
2.4%
459991 1
 
2.4%
521587 1
 
2.4%
535826 1
 
2.4%
551986 1
 
2.4%
640099 1
 
2.4%
ValueCountFrequency (%)
2280149 1
2.4%
1539397 1
2.4%
1297319 1
2.4%
1230010 1
2.4%
1196150 1
2.4%
1133252 1
2.4%
1122224 1
2.4%
1054070 1
2.4%
1000072 1
2.4%
884092 1
2.4%

재해보상부담금
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8765.3902
Minimum0
Maximum40093
Zeros21
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:37.734251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311291
95-th percentile38747
Maximum40093
Range40093
Interquartile range (IQR)11291

Descriptive statistics

Standard deviation13311.6
Coefficient of variation (CV)1.5186546
Kurtosis0.94581699
Mean8765.3902
Median Absolute Deviation (MAD)0
Skewness1.5222829
Sum359381
Variance1.771987 × 108
MonotonicityNot monotonic
2023-12-12T16:48:37.826252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 21
51.2%
1509 1
 
2.4%
4798 1
 
2.4%
38317 1
 
2.4%
38747 1
 
2.4%
36228 1
 
2.4%
40093 1
 
2.4%
39121 1
 
2.4%
34172 1
 
2.4%
20490 1
 
2.4%
Other values (11) 11
26.8%
ValueCountFrequency (%)
0 21
51.2%
1509 1
 
2.4%
4798 1
 
2.4%
4805 1
 
2.4%
5919 1
 
2.4%
5940 1
 
2.4%
6869 1
 
2.4%
7301 1
 
2.4%
7750 1
 
2.4%
9110 1
 
2.4%
ValueCountFrequency (%)
40093 1
2.4%
39121 1
2.4%
38747 1
2.4%
38317 1
2.4%
36228 1
2.4%
34172 1
2.4%
20490 1
2.4%
17266 1
2.4%
16062 1
2.4%
13593 1
2.4%

퇴직연금이체금
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22850.707
Minimum0
Maximum76183
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:37.924129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile716
Q13131
median13821
Q336977
95-th percentile66802
Maximum76183
Range76183
Interquartile range (IQR)33846

Descriptive statistics

Standard deviation22620.256
Coefficient of variation (CV)0.98991494
Kurtosis-0.35049015
Mean22850.707
Median Absolute Deviation (MAD)12663
Skewness0.9023324
Sum936879
Variance5.11676 × 108
MonotonicityNot monotonic
2023-12-12T16:48:38.022739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 1
 
2.4%
41135 1
 
2.4%
20979 1
 
2.4%
22139 1
 
2.4%
23149 1
 
2.4%
25528 1
 
2.4%
27497 1
 
2.4%
30343 1
 
2.4%
33160 1
 
2.4%
36977 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
0 1
2.4%
429 1
2.4%
716 1
2.4%
846 1
2.4%
947 1
2.4%
1122 1
2.4%
1158 1
2.4%
1292 1
2.4%
1465 1
2.4%
2133 1
2.4%
ValueCountFrequency (%)
76183 1
2.4%
70244 1
2.4%
66802 1
2.4%
62237 1
2.4%
58421 1
2.4%
53616 1
2.4%
51062 1
2.4%
48219 1
2.4%
43912 1
2.4%
41135 1
2.4%

기금보전금
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15750.22
Minimum0
Maximum250846
Zeros36
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:38.109650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100159
Maximum250846
Range250846
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48377.947
Coefficient of variation (CV)3.0715729
Kurtosis14.389046
Mean15750.22
Median Absolute Deviation (MAD)0
Skewness3.6210477
Sum645759
Variance2.3404258 × 109
MonotonicityNot monotonic
2023-12-12T16:48:38.188259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
87.8%
128340 1
 
2.4%
67170 1
 
2.4%
100159 1
 
2.4%
250846 1
 
2.4%
99244 1
 
2.4%
ValueCountFrequency (%)
0 36
87.8%
67170 1
 
2.4%
99244 1
 
2.4%
100159 1
 
2.4%
128340 1
 
2.4%
250846 1
 
2.4%
ValueCountFrequency (%)
250846 1
 
2.4%
128340 1
 
2.4%
100159 1
 
2.4%
99244 1
 
2.4%
67170 1
 
2.4%
0 36
87.8%

잡수익등
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13340.902
Minimum476
Maximum55692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:38.274628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum476
5-th percentile1011
Q13440
median9312
Q316850
95-th percentile44880
Maximum55692
Range55216
Interquartile range (IQR)13410

Descriptive statistics

Standard deviation13763.167
Coefficient of variation (CV)1.0316519
Kurtosis1.9675932
Mean13340.902
Median Absolute Deviation (MAD)7291
Skewness1.544138
Sum546977
Variance1.8942477 × 108
MonotonicityNot monotonic
2023-12-12T16:48:38.366808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1498 1
 
2.4%
14075 1
 
2.4%
16850 1
 
2.4%
20397 1
 
2.4%
37185 1
 
2.4%
47796 1
 
2.4%
31033 1
 
2.4%
44880 1
 
2.4%
16998 1
 
2.4%
14884 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
476 1
2.4%
868 1
2.4%
1011 1
2.4%
1158 1
2.4%
1245 1
2.4%
1275 1
2.4%
1498 1
2.4%
1676 1
2.4%
1950 1
2.4%
2325 1
2.4%
ValueCountFrequency (%)
55692 1
2.4%
47796 1
2.4%
44880 1
2.4%
37185 1
2.4%
31631 1
2.4%
31033 1
2.4%
25430 1
2.4%
20397 1
2.4%
19829 1
2.4%
16998 1
2.4%

지출계(B)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5982418.7
Minimum161112
Maximum18168364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:38.477501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161112
5-th percentile190458
Q11209500
median4926361
Q38939065
95-th percentile15591159
Maximum18168364
Range18007252
Interquartile range (IQR)7729565

Descriptive statistics

Standard deviation5213865
Coefficient of variation (CV)0.87153128
Kurtosis-0.51753442
Mean5982418.7
Median Absolute Deviation (MAD)4008624
Skewness0.69854654
Sum2.4527916 × 108
Variance2.7184388 × 1013
MonotonicityNot monotonic
2023-12-12T16:48:38.595109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
161112 1
 
2.4%
9483603 1
 
2.4%
5899167 1
 
2.4%
6177531 1
 
2.4%
6805369 1
 
2.4%
7829292 1
 
2.4%
7630780 1
 
2.4%
8423210 1
 
2.4%
8939065 1
 
2.4%
8894942 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
161112 1
2.4%
184060 1
2.4%
190458 1
2.4%
233674 1
2.4%
289704 1
2.4%
349019 1
2.4%
459638 1
2.4%
535402 1
2.4%
723615 1
2.4%
917737 1
2.4%
ValueCountFrequency (%)
18168364 1
2.4%
16688028 1
2.4%
15591159 1
2.4%
14575048 1
2.4%
13665020 1
2.4%
12837895 1
2.4%
12090062 1
2.4%
11428995 1
2.4%
10269583 1
2.4%
9483603 1
2.4%

연금급여
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5496132.6
Minimum156726
Maximum18100237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:38.703295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156726
5-th percentile183772
Q1887114
median3695648
Q38862297
95-th percentile15542029
Maximum18100237
Range17943511
Interquartile range (IQR)7975183

Descriptive statistics

Standard deviation5257831.7
Coefficient of variation (CV)0.95664207
Kurtosis-0.30555168
Mean5496132.6
Median Absolute Deviation (MAD)3188038
Skewness0.90153118
Sum2.2534144 × 108
Variance2.7644794 × 1013
MonotonicityNot monotonic
2023-12-12T16:48:38.808601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
156726 1
 
2.4%
9441888 1
 
2.4%
4667193 1
 
2.4%
5022460 1
 
2.4%
5540585 1
 
2.4%
6249578 1
 
2.4%
6712351 1
 
2.4%
7255120 1
 
2.4%
7902508 1
 
2.4%
8862297 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
156726 1
2.4%
177005 1
2.4%
183772 1
2.4%
220416 1
2.4%
272815 1
2.4%
327348 1
2.4%
437096 1
2.4%
507610 1
2.4%
688521 1
2.4%
861340 1
2.4%
ValueCountFrequency (%)
18100237 1
2.4%
16629294 1
2.4%
15542029 1
2.4%
14524919 1
2.4%
13618565 1
2.4%
12791128 1
2.4%
12045787 1
2.4%
11385735 1
2.4%
10230119 1
2.4%
9441888 1
2.4%

퇴직수당
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446410.51
Minimum0
Maximum2280149
Zeros20
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:38.903567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16148
Q3843744
95-th percentile1297319
Maximum2280149
Range2280149
Interquartile range (IQR)843744

Descriptive statistics

Standard deviation565062.1
Coefficient of variation (CV)1.2657903
Kurtosis1.1806814
Mean446410.51
Median Absolute Deviation (MAD)16148
Skewness1.2136941
Sum18302831
Variance3.1929518 × 1011
MonotonicityNot monotonic
2023-12-12T16:48:38.999601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 20
48.8%
521587 1
 
2.4%
1000072 1
 
2.4%
1133252 1
 
2.4%
884092 1
 
2.4%
1539396 1
 
2.4%
1230010 1
 
2.4%
1122224 1
 
2.4%
1196150 1
 
2.4%
843744 1
 
2.4%
Other values (12) 12
29.3%
ValueCountFrequency (%)
0 20
48.8%
16148 1
 
2.4%
274917 1
 
2.4%
400340 1
 
2.4%
460812 1
 
2.4%
521587 1
 
2.4%
535826 1
 
2.4%
551986 1
 
2.4%
613571 1
 
2.4%
640099 1
 
2.4%
ValueCountFrequency (%)
2280149 1
2.4%
1539396 1
2.4%
1297319 1
2.4%
1230010 1
2.4%
1196150 1
2.4%
1133252 1
2.4%
1122224 1
2.4%
1054070 1
2.4%
1000072 1
2.4%
884092 1
2.4%

정부부담급여
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14483.146
Minimum0
Maximum59883
Zeros21
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:39.081095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q333477
95-th percentile46810
Maximum59883
Range59883
Interquartile range (IQR)33477

Descriptive statistics

Standard deviation18868.907
Coefficient of variation (CV)1.3028182
Kurtosis-0.65323311
Mean14483.146
Median Absolute Deviation (MAD)0
Skewness0.91275812
Sum593809
Variance3.5603566 × 108
MonotonicityNot monotonic
2023-12-12T16:48:39.165190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 21
51.2%
3794 1
 
2.4%
4769 1
 
2.4%
38316 1
 
2.4%
38747 1
 
2.4%
36228 1
 
2.4%
40093 1
 
2.4%
39140 1
 
2.4%
40885 1
 
2.4%
59883 1
 
2.4%
Other values (11) 11
26.8%
ValueCountFrequency (%)
0 21
51.2%
3794 1
 
2.4%
4769 1
 
2.4%
4786 1
 
2.4%
10539 1
 
2.4%
13886 1
 
2.4%
18355 1
 
2.4%
18612 1
 
2.4%
23021 1
 
2.4%
29742 1
 
2.4%
ValueCountFrequency (%)
59883 1
2.4%
53073 1
2.4%
46810 1
2.4%
40885 1
2.4%
40093 1
2.4%
39653 1
2.4%
39140 1
2.4%
38747 1
2.4%
38316 1
2.4%
36228 1
2.4%

관리운영비등
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25392.366
Minimum592
Maximum68127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:39.263832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum592
5-th percentile2269
Q17816
median25427
Q339464
95-th percentile50129
Maximum68127
Range67535
Interquartile range (IQR)31648

Descriptive statistics

Standard deviation18329.045
Coefficient of variation (CV)0.72183289
Kurtosis-0.94997724
Mean25392.366
Median Absolute Deviation (MAD)16288
Skewness0.2657431
Sum1041087
Variance3.3595388 × 108
MonotonicityNot monotonic
2023-12-12T16:48:39.371066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
592 1
 
2.4%
41715 1
 
2.4%
35824 1
 
2.4%
32847 1
 
2.4%
34774 1
 
2.4%
40318 1
 
2.4%
34337 1
 
2.4%
34838 1
 
2.4%
36485 1
 
2.4%
32645 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
592 1
2.4%
1917 1
2.4%
2269 1
2.4%
2719 1
2.4%
3003 1
2.4%
3316 1
2.4%
3930 1
2.4%
4771 1
2.4%
5352 1
2.4%
6772 1
2.4%
ValueCountFrequency (%)
68127 1
2.4%
58734 1
2.4%
50129 1
2.4%
49130 1
2.4%
46767 1
2.4%
46455 1
2.4%
44275 1
2.4%
43260 1
2.4%
41715 1
2.4%
40318 1
2.4%

수지차(AB)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-116008.88
Minimum-2751971
Maximum377605
Zeros21
Zeros (%)51.2%
Negative7
Negative (%)17.1%
Memory size501.0 B
2023-12-12T16:48:39.466082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2751971
5-th percentile-945833
Q10
median0
Q367211
95-th percentile173217
Maximum377605
Range3129576
Interquartile range (IQR)67211

Descriptive statistics

Standard deviation541631.47
Coefficient of variation (CV)-4.6688795
Kurtosis15.701519
Mean-116008.88
Median Absolute Deviation (MAD)0
Skewness-3.8246681
Sum-4756364
Variance2.9336465 × 1011
MonotonicityNot monotonic
2023-12-12T16:48:39.552163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 21
51.2%
93526 1
 
2.4%
173217 1
 
2.4%
377605 1
 
2.4%
-945833 1
 
2.4%
-2751971 1
 
2.4%
-1753460 1
 
2.4%
-76365 1
 
2.4%
43845 1
 
2.4%
-638460 1
 
2.4%
Other values (11) 11
26.8%
ValueCountFrequency (%)
-2751971 1
 
2.4%
-1753460 1
 
2.4%
-945833 1
 
2.4%
-638460 1
 
2.4%
-183146 1
 
2.4%
-76365 1
 
2.4%
-39795 1
 
2.4%
0 21
51.2%
43845 1
 
2.4%
63273 1
 
2.4%
ValueCountFrequency (%)
377605 1
2.4%
188365 1
2.4%
173217 1
2.4%
137599 1
2.4%
117873 1
2.4%
110989 1
2.4%
102076 1
2.4%
93526 1
2.4%
83351 1
2.4%
73736 1
2.4%

결산잉여금전년도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11002.683
Minimum0
Maximum55580
Zeros29
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:39.639849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332189
95-th percentile41768
Maximum55580
Range55580
Interquartile range (IQR)32189

Descriptive statistics

Standard deviation17860.351
Coefficient of variation (CV)1.6232724
Kurtosis-0.25027043
Mean11002.683
Median Absolute Deviation (MAD)0
Skewness1.1717923
Sum451110
Variance3.1899215 × 108
MonotonicityNot monotonic
2023-12-12T16:48:39.715636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 29
70.7%
55580 1
 
2.4%
41768 1
 
2.4%
33217 1
 
2.4%
38365 1
 
2.4%
36399 1
 
2.4%
50845 1
 
2.4%
32189 1
 
2.4%
33351 1
 
2.4%
25676 1
 
2.4%
Other values (3) 3
 
7.3%
ValueCountFrequency (%)
0 29
70.7%
25676 1
 
2.4%
32189 1
 
2.4%
33217 1
 
2.4%
33236 1
 
2.4%
33273 1
 
2.4%
33351 1
 
2.4%
36399 1
 
2.4%
37211 1
 
2.4%
38365 1
 
2.4%
ValueCountFrequency (%)
55580 1
2.4%
50845 1
2.4%
41768 1
2.4%
38365 1
2.4%
37211 1
2.4%
36399 1
2.4%
33351 1
2.4%
33273 1
2.4%
33236 1
2.4%
33217 1
2.4%

결산잉여금금년도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9647.0732
Minimum0
Maximum50845
Zeros30
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T16:48:39.798782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325676
95-th percentile38365
Maximum50845
Range50845
Interquartile range (IQR)25676

Descriptive statistics

Standard deviation16445.564
Coefficient of variation (CV)1.7047206
Kurtosis-0.24277581
Mean9647.0732
Median Absolute Deviation (MAD)0
Skewness1.2302575
Sum395530
Variance2.7045658 × 108
MonotonicityNot monotonic
2023-12-12T16:48:39.883910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 30
73.2%
41768 1
 
2.4%
33217 1
 
2.4%
38365 1
 
2.4%
36399 1
 
2.4%
50845 1
 
2.4%
32189 1
 
2.4%
33351 1
 
2.4%
25676 1
 
2.4%
33236 1
 
2.4%
Other values (2) 2
 
4.9%
ValueCountFrequency (%)
0 30
73.2%
25676 1
 
2.4%
32189 1
 
2.4%
33217 1
 
2.4%
33236 1
 
2.4%
33273 1
 
2.4%
33351 1
 
2.4%
36399 1
 
2.4%
37211 1
 
2.4%
38365 1
 
2.4%
ValueCountFrequency (%)
50845 1
2.4%
41768 1
2.4%
38365 1
2.4%
37211 1
2.4%
36399 1
2.4%
33351 1
2.4%
33273 1
2.4%
33236 1
2.4%
33217 1
2.4%
32189 1
2.4%

연금수지차
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-114653.27
Minimum-2751971
Maximum377605
Zeros21
Zeros (%)51.2%
Negative7
Negative (%)17.1%
Memory size501.0 B
2023-12-12T16:48:39.967747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2751971
5-th percentile-945833
Q10
median0
Q366176
95-th percentile181768
Maximum377605
Range3129576
Interquartile range (IQR)66176

Descriptive statistics

Standard deviation542032.53
Coefficient of variation (CV)-4.7275803
Kurtosis15.688264
Mean-114653.27
Median Absolute Deviation (MAD)0
Skewness-3.8232297
Sum-4700784
Variance2.9379926 × 1011
MonotonicityNot monotonic
2023-12-12T16:48:40.053281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 21
51.2%
107338 1
 
2.4%
181768 1
 
2.4%
377605 1
 
2.4%
-945833 1
 
2.4%
-2751971 1
 
2.4%
-1753460 1
 
2.4%
-76365 1
 
2.4%
43845 1
 
2.4%
-638460 1
 
2.4%
Other values (11) 11
26.8%
ValueCountFrequency (%)
-2751971 1
 
2.4%
-1753460 1
 
2.4%
-945833 1
 
2.4%
-638460 1
 
2.4%
-183146 1
 
2.4%
-76365 1
 
2.4%
-6522 1
 
2.4%
0 21
51.2%
43845 1
 
2.4%
63236 1
 
2.4%
ValueCountFrequency (%)
377605 1
2.4%
183217 1
2.4%
181768 1
2.4%
139565 1
2.4%
129645 1
2.4%
109751 1
2.4%
107338 1
2.4%
103427 1
2.4%
82189 1
2.4%
67211 1
2.4%

Interactions

2023-12-12T16:48:34.571448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.019093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.529347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.849469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.101753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.648712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.828486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.021444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.364646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.879535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.108872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.346663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.002021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.334688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.610823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.154843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.460978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.803830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.311373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.647515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.088276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.605326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.919306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.170144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.713080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.896155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.100672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.674591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.955178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.177150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.417183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.075332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.406274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.682811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.226351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.537539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.871456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.382310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.718404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.158600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.675583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.985246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.240186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.778389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.962145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.175649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.743921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.022426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.242976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.486560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.142148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.477579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.759079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.296405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.608709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.944170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.457062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.787062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.223577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.741794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.049531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.312445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.838120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.024485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.244614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.810360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.088217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.310184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.555752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.209767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.557625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.843678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.365104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.674996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.009261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.519555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.856461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.293328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.812185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.115056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.400052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.901029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.089677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.314687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.880647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.160321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.392813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.628023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.278171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.625836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.929697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.433016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.742582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.078417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.585389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.918588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.354949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.872327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.171635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.466922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.955012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.150113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.379287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.940271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.219781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.457091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.690440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.339662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.681820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.006894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.497907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.804391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.134911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.646553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.978480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.416168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.936080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.232906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.545315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.013026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.210738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.459058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.001684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.279171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.522936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.755226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.400924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.739276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.065762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.558730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.864497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.194414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.706636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.054898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.499793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.011039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.305558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.615621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.087255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.277403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.539231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.071359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.346221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.595398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.159114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.476549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.805198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.133965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.630736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.935755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.262640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.776141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.144120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.576482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.087299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.370855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.686629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.157673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.342129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.608701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.138444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.411721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.664675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.233063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.550997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.874500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.199149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.700026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.002037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.332507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.841168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.223191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.640083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.156094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.431356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.747161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.214921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.400409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.673720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.200836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.471803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.725304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.295826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.612989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.935465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.261092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.776769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.074007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.391315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.915735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.304628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.702235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.228350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.492697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.808130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.272243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.459167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.738692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.264779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.531592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.783350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.363409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.677275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.998058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.565986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.839430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.156800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.462167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.990230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.372360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.773651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.300542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.571318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.876982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.343042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.526822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.815801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.334862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.598305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.848165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.432322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.746223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.075384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.642200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.909599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.227603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.543781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.060465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.443532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.843126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.375135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.640668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.946008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.407556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.593095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.892085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.414309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.665185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.916082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.503342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.820753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.157727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.711477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.978258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.297523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.608717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.127314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.503799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.904740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.440898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.713387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.019408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.466316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.651895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:18.961036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.484725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.728433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.972856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.575372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.904414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.230069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.770807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.051375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.356443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.927634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.185952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.571712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:10.969312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.513202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.787604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.089595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.527730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.711420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.026355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.550569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.792900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.037737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.643706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:25.998493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.297308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.834529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.119848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.433017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:32.991115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.248195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.640846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.258788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.582908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.852204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.380535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.591320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.775893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.097016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.617758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.861094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.102281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.718859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.069713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.362484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.899572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.189471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.520211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.055936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.313497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.708218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.325980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.658535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.915206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.446234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.652900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.839416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.164623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.687310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.927028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.165954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.787796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.137321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.427457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:28.964991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.261919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.599850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.119198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.382657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.770572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.391870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.720853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:13.976660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.512530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.709085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.898133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.230610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.748120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:21.985860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.224362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.856488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.202168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.489328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.025328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.326024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.669303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.179152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.444858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:35.834079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:11.455544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:12.783249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:14.036793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:15.582663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:16.767202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:17.959698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:19.293657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:20.809472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:22.044857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:23.282928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:24.934079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:26.267528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:27.547933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:29.089949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:30.395357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:31.731876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:33.240031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:48:34.506121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:48:40.133756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분수입계(A)기여금연금부담금정부보전금퇴직수당부담금재해보상부담금퇴직연금이체금기금보전금잡수익등지출계(B)연금급여퇴직수당정부부담급여관리운영비등수지차(AB)결산잉여금전년도결산잉여금금년도연금수지차
구분1.0000.9340.8870.8910.7130.6790.7730.9780.2960.7220.9430.9650.6650.8270.9280.8110.5120.7580.811
수입계(A)0.9341.0000.8830.9150.8480.5730.4390.9900.8480.8610.9920.9850.5480.0000.9300.2960.0000.0000.296
기여금0.8870.8831.0000.9930.8430.6530.5290.8920.6050.8490.8890.8810.6260.0000.8180.4980.0000.0000.498
연금부담금0.8910.9150.9931.0000.8760.6080.5750.9260.7030.8980.8560.8850.5930.0000.7690.3420.0000.0000.342
정부보전금0.7130.8480.8430.8761.0000.0000.0000.8710.8070.9300.8350.8690.0000.0000.8290.0000.0000.0000.000
퇴직수당부담금0.6790.5730.6530.6080.0001.0000.6960.4230.0000.4710.7130.3150.9980.3500.5950.4380.0000.0000.438
재해보상부담금0.7730.4390.5290.5750.0000.6961.0000.3510.0000.0000.2940.0000.6760.9340.4550.7950.6550.5270.814
퇴직연금이체금0.9780.9900.8920.9260.8710.4230.3511.0000.9000.8230.9920.9980.3660.0000.9350.1950.0000.0000.195
기금보전금0.2960.8480.6050.7030.8070.0000.0000.9001.0000.0000.8970.8970.0000.0000.7660.0000.0000.0000.000
잡수익등0.7220.8610.8490.8980.9300.4710.0000.8230.0001.0000.7810.8190.4600.0000.8510.0000.0000.0000.000
지출계(B)0.9430.9920.8890.8560.8350.7130.2940.9920.8970.7811.0000.9940.6720.0000.9480.6320.0000.0000.632
연금급여0.9650.9850.8810.8850.8690.3150.0000.9980.8970.8190.9941.0000.2210.0000.9350.0000.0000.0000.000
퇴직수당0.6650.5480.6260.5930.0000.9980.6760.3660.0000.4600.6720.2211.0000.0000.6390.4290.0000.0000.393
정부부담급여0.8270.0000.0000.0000.0000.3500.9340.0000.0000.0000.0000.0000.0001.0000.0000.8780.7810.8000.861
관리운영비등0.9280.9300.8180.7690.8290.5950.4550.9350.7660.8510.9480.9350.6390.0001.0000.7640.0000.1750.644
수지차(AB)0.8110.2960.4980.3420.0000.4380.7950.1950.0000.0000.6320.0000.4290.8780.7641.0000.3360.3970.999
결산잉여금전년도0.5120.0000.0000.0000.0000.0000.6550.0000.0000.0000.0000.0000.0000.7810.0000.3361.0000.9040.383
결산잉여금금년도0.7580.0000.0000.0000.0000.0000.5270.0000.0000.0000.0000.0000.0000.8000.1750.3970.9041.0000.408
연금수지차0.8110.2960.4980.3420.0000.4380.8140.1950.0000.0000.6320.0000.3930.8610.6440.9990.3830.4081.000
2023-12-12T16:48:40.276686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분수입계(A)기여금연금부담금정부보전금퇴직수당부담금재해보상부담금퇴직연금이체금기금보전금잡수익등지출계(B)연금급여퇴직수당정부부담급여관리운영비등수지차(AB)결산잉여금전년도결산잉여금금년도연금수지차
구분1.0000.9980.9981.0000.9290.018-0.6880.9930.4900.8840.9890.9930.015-0.7080.972-0.459-0.788-0.764-0.458
수입계(A)0.9981.0000.9970.9980.9240.032-0.6790.9910.4900.8840.9940.9960.030-0.7010.973-0.473-0.789-0.763-0.472
기여금0.9980.9971.0000.9980.9280.017-0.6890.9910.4900.8870.9870.9900.015-0.7100.969-0.456-0.789-0.767-0.454
연금부담금1.0000.9980.9981.0000.9290.016-0.6890.9930.4900.8860.9880.9920.013-0.7080.969-0.458-0.788-0.764-0.458
정부보전금0.9290.9240.9280.9291.000-0.181-0.7950.9270.5190.8230.9050.914-0.183-0.8070.893-0.257-0.595-0.562-0.257
퇴직수당부담금0.0180.0320.0170.016-0.1811.0000.1600.019-0.3510.3050.0470.0380.9990.1130.083-0.507-0.439-0.453-0.504
재해보상부담금-0.688-0.679-0.689-0.689-0.7950.1601.000-0.689-0.338-0.693-0.638-0.6530.1640.968-0.605-0.1090.3630.329-0.109
퇴직연금이체금0.9930.9910.9910.9930.9270.019-0.6891.0000.4900.8910.9830.9870.016-0.7150.964-0.454-0.776-0.759-0.454
기금보전금0.4900.4900.4900.4900.519-0.351-0.3380.4901.0000.2880.4900.490-0.351-0.3380.503-0.101-0.234-0.221-0.101
잡수익등0.8840.8840.8870.8860.8230.305-0.6930.8910.2881.0000.8670.8740.304-0.7140.861-0.472-0.767-0.744-0.473
지출계(B)0.9890.9940.9870.9880.9050.047-0.6380.9830.4900.8671.0000.9990.046-0.6640.976-0.517-0.787-0.765-0.517
연금급여0.9930.9960.9900.9920.9140.038-0.6530.9870.4900.8740.9991.0000.037-0.6770.975-0.508-0.787-0.765-0.507
퇴직수당0.0150.0300.0150.013-0.1830.9990.1640.016-0.3510.3040.0460.0371.0000.1210.081-0.522-0.439-0.453-0.519
정부부담급여-0.708-0.701-0.710-0.708-0.8070.1130.968-0.715-0.338-0.714-0.664-0.6770.1211.000-0.636-0.0990.4030.335-0.096
관리운영비등0.9720.9730.9690.9690.8930.083-0.6050.9640.5030.8610.9760.9750.081-0.6361.000-0.515-0.788-0.764-0.514
수지차(AB)-0.459-0.473-0.456-0.458-0.257-0.507-0.109-0.454-0.101-0.472-0.517-0.508-0.522-0.099-0.5151.0000.6860.7600.998
결산잉여금전년도-0.788-0.789-0.789-0.788-0.595-0.4390.363-0.776-0.234-0.767-0.787-0.787-0.4390.403-0.7880.6861.0000.9160.690
결산잉여금금년도-0.764-0.763-0.767-0.764-0.562-0.4530.329-0.759-0.221-0.744-0.765-0.765-0.4530.335-0.7640.7600.9161.0000.755
연금수지차-0.458-0.472-0.454-0.458-0.257-0.504-0.109-0.454-0.101-0.473-0.517-0.507-0.519-0.096-0.5140.9980.6900.7551.000

Missing values

2023-12-12T16:48:35.939148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:48:36.112166image/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

구분수입계(A)기여금연금부담금정부보전금퇴직수당부담금재해보상부담금퇴직연금이체금기금보전금잡수익등지출계(B)연금급여퇴직수당정부부담급여관리운영비등수지차(AB)결산잉여금전년도결산잉여금금년도연금수지차
0198225463812887312275800150900149816111215672603794592935265558041768107338
11983363675212549144106004798947012751904581837720476919171732174176833217181768
21984372425212584150176006869846019501840601770050478622691883653321738365183217
319853712732082861554700059191122047623367422041601053927191375993836536399139565
4198640757720571119309200594011580167628970427281501388630031178733639950845103427
5198746000822995221959600775014650124534901932734801835533161109895084532189129645
6198854298927478426196000480542901011459638437096018612393083351321893335182189
71989637478322228306365007301716086853540250761002302147711020763335125676109751
81990797351406256379535009110129201158723615688521029742535273736256763323666176
91991984948482962464910014237172662133034409177378613401614833477677267211332363721163236
구분수입계(A)기여금연금부담금정부보전금퇴직수당부담금재해보상부담금퇴직연금이체금기금보전금잡수익등지출계(B)연금급여퇴직수당정부부담급여관리운영비등수지차(AB)결산잉여금전년도결산잉여금금년도연금수지차
312013948360333714814058735199817700411350140759483603944188800417150000
322014102695833539936412013825547680043912010829102695831023011900394640000
33201511428995381854143478923072737004821912834013266114289951138573500432600000
3420161209006244691815170030231885300510626717013766120900621204578700442750000
35201712837895486763355146472282011005361610015919829128378951279112800467670000
362018136650205337564597351522805530058421014967136650201361856500464550000
37201914575048571072864783632056271006223725084616603145750481452491900501290000
382020155911596039884689463825644050066802025430155911591554202900491300000
3920211668802862088357038078323999600702449924431631166880281662929400587340000
402022181683646291729729967344450870076183055692181683641810023700681270000