Overview

Dataset statistics

Number of variables17
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory156.2 B

Variable types

Numeric17

Dataset

Description직종별(정무직, 별정직, 일반직, 소방, 경찰 등) 퇴직연금수급자 추이에 대한 데이터입니다. 1982년부터 시작되며 연 단위로 구분됩니다.
URLhttps://www.data.go.kr/data/15054111/fileData.do

Alerts

구분 is highly overall correlated with 정무직 and 12 other fieldsHigh correlation
정무직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
별정직(국가) is highly overall correlated with 구분 and 12 other fieldsHigh correlation
별정직(지방) is highly overall correlated with 일반직(지방)High correlation
일반직(국가) is highly overall correlated with 구분 and 12 other fieldsHigh correlation
일반직(지방) is highly overall correlated with 별정직(지방) and 1 other fieldsHigh correlation
경찰소방 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
교육직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
법관검사 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
기능직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
고용직 is highly overall correlated with 일반직(지방)High correlation
공안직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
군무원 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
연구직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
지도직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
계약직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
기타 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
구분 has unique valuesUnique
일반직(국가) has unique valuesUnique
경찰소방 has unique valuesUnique
교육직 has unique valuesUnique
법관검사 has unique valuesUnique
기능직 has unique valuesUnique
기타 has unique valuesUnique
정무직 has 19 (46.3%) zerosZeros
별정직(지방) has 31 (75.6%) zerosZeros
일반직(지방) has 12 (29.3%) zerosZeros
기능직 has 1 (2.4%) zerosZeros
고용직 has 7 (17.1%) zerosZeros
공안직 has 19 (46.3%) zerosZeros
군무원 has 19 (46.3%) zerosZeros
연구직 has 19 (46.3%) zerosZeros
지도직 has 19 (46.3%) zerosZeros
계약직 has 19 (46.3%) zerosZeros

Reproduction

Analysis started2023-12-12 04:45:58.049086
Analysis finished2023-12-12 04:46:30.366439
Duration32.32 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
2023-12-12T13:46:30.466792image/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
2023-12-12T13:46:30.637986image/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%

정무직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean574.65854
Minimum0
Maximum1306
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:30.782743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median873
Q31094
95-th percentile1176
Maximum1306
Range1306
Interquartile range (IQR)1094

Descriptive statistics

Standard deviation546.36749
Coefficient of variation (CV)0.95076894
Kurtosis-2.0110422
Mean574.65854
Median Absolute Deviation (MAD)323
Skewness-0.089434535
Sum23561
Variance298517.43
MonotonicityNot monotonic
2023-12-12T13:46:30.929542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
851 1
 
2.4%
1306 1
 
2.4%
1196 1
 
2.4%
1176 1
 
2.4%
1166 1
 
2.4%
1150 1
 
2.4%
1141 1
 
2.4%
1098 1
 
2.4%
1085 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
851 1
 
2.4%
873 1
 
2.4%
914 1
 
2.4%
956 1
 
2.4%
965 1
 
2.4%
1025 1
 
2.4%
1037 1
 
2.4%
1055 1
 
2.4%
1076 1
 
2.4%
ValueCountFrequency (%)
1306 1
2.4%
1196 1
2.4%
1176 1
2.4%
1166 1
2.4%
1150 1
2.4%
1141 1
2.4%
1115 1
2.4%
1100 1
2.4%
1099 1
2.4%
1098 1
2.4%

별정직(국가)
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6926.2195
Minimum186
Maximum11636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:31.076882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile222
Q13791
median7955
Q39900
95-th percentile11483
Maximum11636
Range11450
Interquartile range (IQR)6109

Descriptive statistics

Standard deviation3708.2915
Coefficient of variation (CV)0.53539907
Kurtosis-0.98453848
Mean6926.2195
Median Absolute Deviation (MAD)2486
Skewness-0.58280366
Sum283975
Variance13751426
MonotonicityNot monotonic
2023-12-12T13:46:31.249223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7955 2
 
4.9%
7961 2
 
4.9%
207 1
 
2.4%
7963 1
 
2.4%
7949 1
 
2.4%
7939 1
 
2.4%
7893 1
 
2.4%
11594 1
 
2.4%
11636 1
 
2.4%
11483 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
186 1
2.4%
207 1
2.4%
222 1
2.4%
848 1
2.4%
1025 1
2.4%
1272 1
2.4%
2029 1
2.4%
2297 1
2.4%
2696 1
2.4%
3178 1
2.4%
ValueCountFrequency (%)
11636 1
2.4%
11594 1
2.4%
11483 1
2.4%
11438 1
2.4%
11155 1
2.4%
10920 1
2.4%
10707 1
2.4%
10441 1
2.4%
10435 1
2.4%
10180 1
2.4%

별정직(지방)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean960.85366
Minimum0
Maximum3963
Zeros31
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:31.371664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3951
Maximum3963
Range3963
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1712.7905
Coefficient of variation (CV)1.7825716
Kurtosis-0.49231971
Mean960.85366
Median Absolute Deviation (MAD)0
Skewness1.2385695
Sum39395
Variance2933651.2
MonotonicityNot monotonic
2023-12-12T13:46:31.504607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 31
75.6%
3940 2
 
4.9%
3926 1
 
2.4%
3948 1
 
2.4%
3953 1
 
2.4%
3937 1
 
2.4%
3907 1
 
2.4%
3963 1
 
2.4%
3930 1
 
2.4%
3951 1
 
2.4%
ValueCountFrequency (%)
0 31
75.6%
3907 1
 
2.4%
3926 1
 
2.4%
3930 1
 
2.4%
3937 1
 
2.4%
3940 2
 
4.9%
3948 1
 
2.4%
3951 1
 
2.4%
3953 1
 
2.4%
3963 1
 
2.4%
ValueCountFrequency (%)
3963 1
 
2.4%
3953 1
 
2.4%
3951 1
 
2.4%
3948 1
 
2.4%
3940 2
 
4.9%
3937 1
 
2.4%
3930 1
 
2.4%
3926 1
 
2.4%
3907 1
 
2.4%
0 31
75.6%

일반직(국가)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48919.073
Minimum1620
Maximum194078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:31.641167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1620
5-th percentile2639
Q17423
median22472
Q385200
95-th percentile169738
Maximum194078
Range192458
Interquartile range (IQR)77777

Descriptive statistics

Standard deviation57767.896
Coefficient of variation (CV)1.180887
Kurtosis0.30478736
Mean48919.073
Median Absolute Deviation (MAD)16222
Skewness1.2774839
Sum2005682
Variance3.3371298 × 109
MonotonicityNot monotonic
2023-12-12T13:46:31.796527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1620 1
 
2.4%
88842 1
 
2.4%
28629 1
 
2.4%
30064 1
 
2.4%
31220 1
 
2.4%
32507 1
 
2.4%
33330 1
 
2.4%
34327 1
 
2.4%
80550 1
 
2.4%
85200 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1620 1
2.4%
2244 1
2.4%
2639 1
2.4%
2647 1
2.4%
3097 1
2.4%
4132 1
2.4%
4881 1
2.4%
5504 1
2.4%
6250 1
2.4%
6751 1
2.4%
ValueCountFrequency (%)
194078 1
2.4%
182839 1
2.4%
169738 1
2.4%
156201 1
2.4%
144060 1
2.4%
133237 1
2.4%
121732 1
2.4%
111045 1
2.4%
99875 1
2.4%
88842 1
2.4%

일반직(지방)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10481.878
Minimum0
Maximum44292
Zeros12
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:31.965362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2803
Q321333
95-th percentile39800
Maximum44292
Range44292
Interquartile range (IQR)21333

Descriptive statistics

Standard deviation13939.022
Coefficient of variation (CV)1.329821
Kurtosis0.027062875
Mean10481.878
Median Absolute Deviation (MAD)2803
Skewness1.1910375
Sum429757
Variance1.9429633 × 108
MonotonicityNot monotonic
2023-12-12T13:46:32.133231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 12
29.3%
497 1
 
2.4%
12051 1
 
2.4%
44292 1
 
2.4%
41680 1
 
2.4%
39800 1
 
2.4%
36138 1
 
2.4%
32966 1
 
2.4%
29566 1
 
2.4%
27803 1
 
2.4%
Other values (20) 20
48.8%
ValueCountFrequency (%)
0 12
29.3%
497 1
 
2.4%
786 1
 
2.4%
1109 1
 
2.4%
1272 1
 
2.4%
1461 1
 
2.4%
1646 1
 
2.4%
1870 1
 
2.4%
2235 1
 
2.4%
2803 1
 
2.4%
ValueCountFrequency (%)
44292 1
2.4%
41680 1
2.4%
39800 1
2.4%
36138 1
2.4%
32966 1
2.4%
29566 1
2.4%
27803 1
2.4%
25711 1
2.4%
24093 1
2.4%
22925 1
2.4%

경찰소방
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19465.317
Minimum360
Maximum56083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:32.273248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum360
5-th percentile970
Q13645
median16861
Q330468
95-th percentile50331
Maximum56083
Range55723
Interquartile range (IQR)26823

Descriptive statistics

Standard deviation17014.322
Coefficient of variation (CV)0.87408399
Kurtosis-0.7586967
Mean19465.317
Median Absolute Deviation (MAD)13501
Skewness0.64109383
Sum798078
Variance2.8948715 × 108
MonotonicityStrictly increasing
2023-12-12T13:46:32.420657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
360 1
 
2.4%
31406 1
 
2.4%
19809 1
 
2.4%
21622 1
 
2.4%
22919 1
 
2.4%
25196 1
 
2.4%
25529 1
 
2.4%
26950 1
 
2.4%
28694 1
 
2.4%
30468 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
360 1
2.4%
678 1
2.4%
970 1
2.4%
1268 1
2.4%
1397 1
2.4%
1522 1
2.4%
1806 1
2.4%
2176 1
2.4%
2720 1
2.4%
3360 1
2.4%
ValueCountFrequency (%)
56083 1
2.4%
53282 1
2.4%
50331 1
2.4%
47767 1
2.4%
45592 1
2.4%
43351 1
2.4%
40707 1
2.4%
37895 1
2.4%
35075 1
2.4%
31406 1
2.4%

교육직
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55538.463
Minimum369
Maximum169906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:32.593712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile819
Q15985
median44972
Q393252
95-th percentile152899
Maximum169906
Range169537
Interquartile range (IQR)87267

Descriptive statistics

Standard deviation53440.544
Coefficient of variation (CV)0.96222583
Kurtosis-0.80409163
Mean55538.463
Median Absolute Deviation (MAD)41175
Skewness0.67706142
Sum2277077
Variance2.8558917 × 109
MonotonicityStrictly increasing
2023-12-12T13:46:32.766137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
369 1
 
2.4%
99968 1
 
2.4%
52912 1
 
2.4%
56540 1
 
2.4%
62458 1
 
2.4%
70540 1
 
2.4%
75201 1
 
2.4%
80661 1
 
2.4%
86147 1
 
2.4%
93252 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
369 1
2.4%
586 1
2.4%
819 1
2.4%
1072 1
2.4%
1361 1
2.4%
1704 1
2.4%
2269 1
2.4%
2931 1
2.4%
3736 1
2.4%
4824 1
2.4%
ValueCountFrequency (%)
169906 1
2.4%
161127 1
2.4%
152899 1
2.4%
144618 1
2.4%
136452 1
2.4%
129644 1
2.4%
123527 1
2.4%
117208 1
2.4%
107409 1
2.4%
99968 1
2.4%

법관검사
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean708.12195
Minimum42
Maximum2082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:32.961260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile68
Q1208
median507
Q31111
95-th percentile1810
Maximum2082
Range2040
Interquartile range (IQR)903

Descriptive statistics

Standard deviation587.66484
Coefficient of variation (CV)0.82989213
Kurtosis-0.49326999
Mean708.12195
Median Absolute Deviation (MAD)372
Skewness0.78344115
Sum29033
Variance345349.96
MonotonicityStrictly increasing
2023-12-12T13:46:33.105965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
42 1
 
2.4%
1183 1
 
2.4%
668 1
 
2.4%
748 1
 
2.4%
796 1
 
2.4%
852 1
 
2.4%
945 1
 
2.4%
1002 1
 
2.4%
1057 1
 
2.4%
1111 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
42 1
2.4%
58 1
2.4%
68 1
2.4%
87 1
2.4%
104 1
2.4%
117 1
2.4%
135 1
2.4%
141 1
2.4%
153 1
2.4%
194 1
2.4%
ValueCountFrequency (%)
2082 1
2.4%
1931 1
2.4%
1810 1
2.4%
1694 1
2.4%
1588 1
2.4%
1499 1
2.4%
1385 1
2.4%
1293 1
2.4%
1231 1
2.4%
1183 1
2.4%

기능직
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29868.439
Minimum0
Maximum60308
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:33.252060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile664
Q16150
median26298
Q356950
95-th percentile59914
Maximum60308
Range60308
Interquartile range (IQR)50800

Descriptive statistics

Standard deviation23844.175
Coefficient of variation (CV)0.7983067
Kurtosis-1.7609298
Mean29868.439
Median Absolute Deviation (MAD)22977
Skewness0.092612603
Sum1224606
Variance5.6854468 × 108
MonotonicityNot monotonic
2023-12-12T13:46:33.398357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 1
 
2.4%
59455 1
 
2.4%
39416 1
 
2.4%
42751 1
 
2.4%
45730 1
 
2.4%
49275 1
 
2.4%
50431 1
 
2.4%
53454 1
 
2.4%
54673 1
 
2.4%
57888 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
0 1
2.4%
518 1
2.4%
664 1
2.4%
933 1
2.4%
1253 1
2.4%
2975 1
2.4%
3730 1
2.4%
4158 1
2.4%
5139 1
2.4%
5646 1
2.4%
ValueCountFrequency (%)
60308 1
2.4%
60230 1
2.4%
59914 1
2.4%
59479 1
2.4%
59455 1
2.4%
59447 1
2.4%
59316 1
2.4%
58716 1
2.4%
57928 1
2.4%
57888 1
2.4%

고용직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.756098
Minimum0
Maximum299
Zeros7
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:33.540128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median31
Q360
95-th percentile175
Maximum299
Range299
Interquartile range (IQR)49

Descriptive statistics

Standard deviation62.628181
Coefficient of variation (CV)1.2587036
Kurtosis7.4377113
Mean49.756098
Median Absolute Deviation (MAD)26
Skewness2.5786841
Sum2040
Variance3922.289
MonotonicityNot monotonic
2023-12-12T13:46:33.901771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 7
17.1%
11 4
 
9.8%
31 2
 
4.9%
53 2
 
4.9%
77 2
 
4.9%
24 2
 
4.9%
29 2
 
4.9%
43 1
 
2.4%
46 1
 
2.4%
57 1
 
2.4%
Other values (17) 17
41.5%
ValueCountFrequency (%)
0 7
17.1%
4 1
 
2.4%
11 4
9.8%
20 1
 
2.4%
23 1
 
2.4%
24 2
 
4.9%
28 1
 
2.4%
29 2
 
4.9%
30 1
 
2.4%
31 2
 
4.9%
ValueCountFrequency (%)
299 1
2.4%
245 1
2.4%
175 1
2.4%
126 1
2.4%
81 1
2.4%
77 2
4.9%
75 1
2.4%
65 1
2.4%
64 1
2.4%
60 1
2.4%

공안직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4520.6829
Minimum0
Maximum14492
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:34.008528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3638
Q38268
95-th percentile12898
Maximum14492
Range14492
Interquartile range (IQR)8268

Descriptive statistics

Standard deviation4905.9969
Coefficient of variation (CV)1.0852336
Kurtosis-1.1347982
Mean4520.6829
Median Absolute Deviation (MAD)3638
Skewness0.5544029
Sum185348
Variance24068805
MonotonicityIncreasing
2023-12-12T13:46:34.109877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
3413 1
 
2.4%
14492 1
 
2.4%
13667 1
 
2.4%
12898 1
 
2.4%
12282 1
 
2.4%
11729 1
 
2.4%
11281 1
 
2.4%
10690 1
 
2.4%
10136 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
3413 1
 
2.4%
3638 1
 
2.4%
4063 1
 
2.4%
4653 1
 
2.4%
4979 1
 
2.4%
5595 1
 
2.4%
6163 1
 
2.4%
6758 1
 
2.4%
7106 1
 
2.4%
ValueCountFrequency (%)
14492 1
2.4%
13667 1
2.4%
12898 1
2.4%
12282 1
2.4%
11729 1
2.4%
11281 1
2.4%
10690 1
2.4%
10136 1
2.4%
9432 1
2.4%
8602 1
2.4%

군무원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3895.3171
Minimum0
Maximum14377
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:34.205070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median743
Q37871
95-th percentile13021
Maximum14377
Range14377
Interquartile range (IQR)7871

Descriptive statistics

Standard deviation4892.0417
Coefficient of variation (CV)1.2558777
Kurtosis-0.7546486
Mean3895.3171
Median Absolute Deviation (MAD)743
Skewness0.87448257
Sum159708
Variance23932072
MonotonicityIncreasing
2023-12-12T13:46:34.307866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
369 1
 
2.4%
14377 1
 
2.4%
13777 1
 
2.4%
13021 1
 
2.4%
12357 1
 
2.4%
11631 1
 
2.4%
11052 1
 
2.4%
10378 1
 
2.4%
9796 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
369 1
 
2.4%
743 1
 
2.4%
1259 1
 
2.4%
1893 1
 
2.4%
2369 1
 
2.4%
3146 1
 
2.4%
4009 1
 
2.4%
5036 1
 
2.4%
5769 1
 
2.4%
ValueCountFrequency (%)
14377 1
2.4%
13777 1
2.4%
13021 1
2.4%
12357 1
2.4%
11631 1
2.4%
11052 1
2.4%
10378 1
2.4%
9796 1
2.4%
8970 1
2.4%
8225 1
2.4%

연구직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean950.92683
Minimum0
Maximum3270
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:34.413975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median892
Q31651
95-th percentile2868
Maximum3270
Range3270
Interquartile range (IQR)1651

Descriptive statistics

Standard deviation1043.642
Coefficient of variation (CV)1.0974998
Kurtosis-0.77795269
Mean950.92683
Median Absolute Deviation (MAD)892
Skewness0.66883019
Sum38988
Variance1089188.7
MonotonicityIncreasing
2023-12-12T13:46:34.518383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
834 1
 
2.4%
3270 1
 
2.4%
3064 1
 
2.4%
2868 1
 
2.4%
2654 1
 
2.4%
2481 1
 
2.4%
2334 1
 
2.4%
2159 1
 
2.4%
2006 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
834 1
 
2.4%
892 1
 
2.4%
940 1
 
2.4%
1017 1
 
2.4%
1054 1
 
2.4%
1135 1
 
2.4%
1189 1
 
2.4%
1339 1
 
2.4%
1430 1
 
2.4%
ValueCountFrequency (%)
3270 1
2.4%
3064 1
2.4%
2868 1
2.4%
2654 1
2.4%
2481 1
2.4%
2334 1
2.4%
2159 1
2.4%
2006 1
2.4%
1887 1
2.4%
1723 1
2.4%

지도직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1859.3171
Minimum0
Maximum4613
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:34.632936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2392
Q33436
95-th percentile4466
Maximum4613
Range4613
Interquartile range (IQR)3436

Descriptive statistics

Standard deviation1823.8438
Coefficient of variation (CV)0.98092137
Kurtosis-1.7949319
Mean1859.3171
Median Absolute Deviation (MAD)2201
Skewness0.088998452
Sum76232
Variance3326406.4
MonotonicityIncreasing
2023-12-12T13:46:34.737357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
2327 1
 
2.4%
4613 1
 
2.4%
4593 1
 
2.4%
4466 1
 
2.4%
4304 1
 
2.4%
4149 1
 
2.4%
4046 1
 
2.4%
3901 1
 
2.4%
3780 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
2327 1
 
2.4%
2392 1
 
2.4%
2498 1
 
2.4%
2624 1
 
2.4%
2713 1
 
2.4%
2919 1
 
2.4%
3076 1
 
2.4%
3242 1
 
2.4%
3284 1
 
2.4%
ValueCountFrequency (%)
4613 1
2.4%
4593 1
2.4%
4466 1
2.4%
4304 1
2.4%
4149 1
2.4%
4046 1
2.4%
3901 1
2.4%
3780 1
2.4%
3655 1
2.4%
3519 1
2.4%

계약직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.39024
Minimum0
Maximum2444
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:34.869266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median26
Q3481
95-th percentile1795
Maximum2444
Range2444
Interquartile range (IQR)481

Descriptive statistics

Standard deviation619.308
Coefficient of variation (CV)1.6765684
Kurtosis3.4317585
Mean369.39024
Median Absolute Deviation (MAD)26
Skewness2.0038703
Sum15145
Variance383542.39
MonotonicityIncreasing
2023-12-12T13:46:34.967475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
4 1
 
2.4%
2444 1
 
2.4%
2070 1
 
2.4%
1795 1
 
2.4%
1460 1
 
2.4%
1264 1
 
2.4%
1062 1
 
2.4%
839 1
 
2.4%
695 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
4 1
 
2.4%
26 1
 
2.4%
55 1
 
2.4%
85 1
 
2.4%
111 1
 
2.4%
139 1
 
2.4%
175 1
 
2.4%
228 1
 
2.4%
286 1
 
2.4%
ValueCountFrequency (%)
2444 1
2.4%
2070 1
2.4%
1795 1
2.4%
1460 1
2.4%
1264 1
2.4%
1062 1
2.4%
839 1
2.4%
695 1
2.4%
628 1
2.4%
537 1
2.4%

기타
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4370.4146
Minimum162
Maximum17266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:46:35.079684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile221
Q1520
median2656
Q36443
95-th percentile15037
Maximum17266
Range17104
Interquartile range (IQR)5923

Descriptive statistics

Standard deviation4812.9978
Coefficient of variation (CV)1.101268
Kurtosis1.0586555
Mean4370.4146
Median Absolute Deviation (MAD)2237
Skewness1.3875253
Sum179187
Variance23164948
MonotonicityNot monotonic
2023-12-12T13:46:35.222397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
482 1
 
2.4%
5025 1
 
2.4%
1727 1
 
2.4%
1978 1
 
2.4%
2327 1
 
2.4%
2656 1
 
2.4%
2922 1
 
2.4%
3105 1
 
2.4%
3835 1
 
2.4%
4143 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
162 1
2.4%
170 1
2.4%
221 1
2.4%
277 1
2.4%
282 1
2.4%
343 1
2.4%
382 1
2.4%
419 1
2.4%
482 1
2.4%
491 1
2.4%
ValueCountFrequency (%)
17266 1
2.4%
16663 1
2.4%
15037 1
2.4%
13371 1
2.4%
11998 1
2.4%
10515 1
2.4%
9330 1
2.4%
8159 1
2.4%
7170 1
2.4%
6844 1
2.4%

Interactions

2023-12-12T13:46:27.611815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:45:58.536553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:00.266578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:01.914052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:03.788483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:05.629615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:07.162327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:08.568921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:10.365861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:12.174535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:14.191709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:16.080857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:17.990020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:19.997501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:22.226363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:24.290703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:25.813783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:27.723322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:45:58.635094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:00.377872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:02.010027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:03.888989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:05.729589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:07.241604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:08.893464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:10.464912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:12.302448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:14.285768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:16.215571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:18.101737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:20.112893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:22.357118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:24.381014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:25.910742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:27.831410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:45:58.745156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:00.513710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:02.101110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:04.011478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:05.826293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:07.332263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:08.967252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:10.569381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:12.433791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:14.374513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:16.313045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:18.224826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:20.228553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:22.486467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:24.466086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:26.000271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:27.937023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:45:58.857407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:00.618317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:02.176198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:04.124942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:05.922476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:07.413120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:09.043592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:10.659467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:12.555430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:14.463992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:16.406043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:18.338979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:20.327748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:22.609666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-12T13:46:15.911080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:17.713126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:19.759450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:21.952638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:24.113092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:25.636336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:27.417571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:29.827598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:00.157345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:01.806762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:03.674751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:05.507988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:07.074840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:08.490259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:10.259387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:12.070915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:14.084477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:15.991585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:17.847807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:19.868852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:22.082713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:24.196450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:25.719935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:46:27.521972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:46:35.348087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직기타
구분1.0000.9660.9330.9900.8390.8880.9820.9410.9580.9340.6760.8560.8890.8710.9300.5740.883
정무직0.9661.0000.8210.6860.8270.9330.9680.9870.9810.9870.3990.9580.9850.9780.9010.7700.809
별정직(국가)0.9330.8211.0000.9910.7550.4760.8580.8290.8840.8210.7250.6690.1740.7050.6460.4560.752
별정직(지방)0.9900.6860.9911.0001.0001.0000.9900.9930.9771.0000.0000.8980.8370.8980.9760.0000.433
일반직(국가)0.8390.8270.7551.0001.0000.0000.9640.9650.9190.5200.2560.9590.9250.9270.8870.9020.893
일반직(지방)0.8880.9330.4761.0000.0001.0000.8760.8870.8720.9780.0000.7550.8400.6730.7680.0000.562
경찰소방0.9820.9680.8580.9900.9640.8761.0000.9930.9620.9080.2580.9690.9720.8990.8880.8690.950
교육직0.9410.9870.8290.9930.9650.8870.9931.0000.9750.9370.2550.9630.9790.9260.9340.8750.942
법관검사0.9580.9810.8840.9770.9190.8720.9620.9751.0000.9090.3940.9000.9550.9770.9500.8780.962
기능직0.9340.9870.8211.0000.5200.9780.9080.9370.9091.0000.0000.7960.9000.8190.8960.0000.573
고용직0.6760.3990.7250.0000.2560.0000.2580.2550.3940.0001.0000.2380.0000.4330.2520.0000.000
공안직0.8560.9580.6690.8980.9590.7550.9690.9630.9000.7960.2381.0000.9400.9840.9470.9580.822
군무원0.8890.9850.1740.8370.9250.8400.9720.9790.9550.9000.0000.9401.0000.9050.9410.8940.901
연구직0.8710.9780.7050.8980.9270.6730.8990.9260.9770.8190.4330.9840.9051.0000.9880.9530.874
지도직0.9300.9010.6460.9760.8870.7680.8880.9340.9500.8960.2520.9470.9410.9881.0000.8180.799
계약직0.5740.7700.4560.0000.9020.0000.8690.8750.8780.0000.0000.9580.8940.9530.8181.0000.897
기타0.8830.8090.7520.4330.8930.5620.9500.9420.9620.5730.0000.8220.9010.8740.7990.8971.000
2023-12-12T13:46:35.628872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직기타
구분1.0000.9340.8520.1711.000-0.2711.0001.0001.0000.9740.1710.9490.9490.9490.9490.9490.794
정무직0.9341.0000.6800.2600.934-0.2980.9340.9340.9340.8950.3240.9840.9840.9840.9840.9840.645
별정직(국가)0.8520.6801.0000.0220.852-0.2640.8520.8520.8520.8830.1150.7270.7270.7270.7270.7270.764
별정직(지방)0.1710.2600.0221.0000.1710.7490.1710.1710.1710.171-0.1360.1800.1800.1800.1800.180-0.267
일반직(국가)1.0000.9340.8520.1711.000-0.2711.0001.0001.0000.9740.1700.9490.9490.9490.9490.9490.793
일반직(지방)-0.271-0.298-0.2640.749-0.2711.000-0.271-0.271-0.271-0.271-0.512-0.392-0.392-0.392-0.392-0.392-0.402
경찰소방1.0000.9340.8520.1711.000-0.2711.0001.0001.0000.9740.1710.9490.9490.9490.9490.9490.794
교육직1.0000.9340.8520.1711.000-0.2711.0001.0001.0000.9740.1710.9490.9490.9490.9490.9490.794
법관검사1.0000.9340.8520.1711.000-0.2711.0001.0001.0000.9740.1710.9490.9490.9490.9490.9490.794
기능직0.9740.8950.8830.1710.974-0.2710.9740.9740.9741.0000.2140.9220.9220.9220.9220.9220.763
고용직0.1710.3240.115-0.1360.170-0.5120.1710.1710.1710.2141.0000.3640.3640.3640.3640.3640.000
공안직0.9490.9840.7270.1800.949-0.3920.9490.9490.9490.9220.3641.0001.0001.0001.0001.0000.674
군무원0.9490.9840.7270.1800.949-0.3920.9490.9490.9490.9220.3641.0001.0001.0001.0001.0000.674
연구직0.9490.9840.7270.1800.949-0.3920.9490.9490.9490.9220.3641.0001.0001.0001.0001.0000.674
지도직0.9490.9840.7270.1800.949-0.3920.9490.9490.9490.9220.3641.0001.0001.0001.0001.0000.674
계약직0.9490.9840.7270.1800.949-0.3920.9490.9490.9490.9220.3641.0001.0001.0001.0001.0000.674
기타0.7940.6450.764-0.2670.793-0.4020.7940.7940.7940.7630.0000.6740.6740.6740.6740.6741.000

Missing values

2023-12-12T13:46:30.017731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:46:30.282095image/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

구분정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직기타
01982018601620497360369420000000482
11983020702244786678586585183600000277
219840222026471109970819686645900000382
31985084802639127212681072879338100000491
419860102503097146113971361104125312600000611
519870127204132164615221704117297517500000653
619880202904881187018062269135373024500000221
719890229705504223521762931141415829900000282
8199002696062502803272037361535139400000343
91991031780675133083360482419456461100000419
구분정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직기타
312013105511483088842031406999681183594557586028225172335195375025
3220141076111550998750350751074091231594796594328970188736556286844
332015108510920011104503789511720812935944764101369796200637806958159
3420161098107070121732040707123527138560230601069010378215939018399330
352017114110441013323704335112964414996030857112811105223344046106210515
362018115010180014406004559213645215885991453117291163124814149126411998
37201911669900015620104776714461816945931653122821235726544304146013371
38202011769616016973805033115289918105871646128981302128684466179515037
39202111969306018283905328216112719315792843136671377730644593207016663
40202213069119019407805608316990620825695024144921437732704613244417266