Overview

Dataset statistics

Number of variables20
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory183.2 B

Variable types

Numeric20

Dataset

Description공무원 직종별(정무직,일반직,기능직 등), 연도별 공무원연금 가입자 인원수입니다.주) 1. 2000년까지의 "기타"에는 정무직, 공안직, 연구직, 지도직, 계약직, 공중보건의가 "별정직(국가)"에는 국가 및 지방 별정직, 군무원이 포함되어 있음 2. 2001년 이후 기타에는 공익법무관, 기타직 공무원 등이 포함되어 있음 3. 청원경찰은 2002년까지는 경찰·소방으로 2003년부터는 기타로 분류되어 있음 4. 별정직, 일반직의 경우 2011년 이후 재직공무원의 직종관리체계를 변경함에 따라 지방직을 국가직으로 통합 5. 2013년 이후의 "기타"직종이 증가한 원인은 "12년 공무원 직종개편에 따라 신설된 우정직, 전문경력관, 특정직이 포함되었기 때문임
Author공무원연금공단
URLhttps://www.data.go.kr/data/15053028/fileData.do

Alerts

구분 is highly overall correlated with and 12 other fieldsHigh correlation
is highly overall correlated with 구분 and 13 other fieldsHigh correlation
정무직 is highly overall correlated with 구분 and 13 other fieldsHigh correlation
별정직(국가) is highly overall correlated with 구분 and 14 other fieldsHigh correlation
별정직(지방) is highly overall correlated with 정무직 and 5 other fieldsHigh correlation
일반직(국가) is highly overall correlated with 별정직(국가) and 7 other fieldsHigh correlation
일반직(지방) is highly overall correlated with 별정직(지방) and 2 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 별정직(국가) and 6 other fieldsHigh correlation
고용직 is highly overall correlated with 구분 and 12 other fieldsHigh correlation
공안직 is highly overall correlated with 구분 and 14 other fieldsHigh correlation
군무원 is highly overall correlated with 구분 and 14 other fieldsHigh correlation
연구직 is highly overall correlated with 구분 and 14 other fieldsHigh correlation
지도직 is highly overall correlated with 구분 and 13 other fieldsHigh correlation
계약직 is highly overall correlated with 구분 and 14 other fieldsHigh correlation
공중보건의 is highly overall correlated with 구분 and 13 other fieldsHigh correlation
기타 is highly overall correlated with and 1 other fieldsHigh correlation
구분 has unique valuesUnique
has unique valuesUnique
전년대비증감율 has unique valuesUnique
별정직(국가) 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
전년대비증감율 has 1 (2.4%) zerosZeros
정무직 has 19 (46.3%) zerosZeros
별정직(지방) has 31 (75.6%) zerosZeros
일반직(지방) has 12 (29.3%) zerosZeros
고용직 has 15 (36.6%) 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
공중보건의 has 19 (46.3%) zerosZeros

Reproduction

Analysis started2023-12-12 22:12:04.135503
Analysis finished2023-12-12 22:12:42.266340
Duration38.13 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
2023-12-13T07:12:42.345503image/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
2023-12-13T07:12:42.523880image/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%


Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean965685
Minimum667554
Maximum1280994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:42.713818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum667554
5-th percentile682281
Q1909155
median964593
Q31064472
95-th percentile1221322
Maximum1280994
Range613440
Interquartile range (IQR)155317

Descriptive statistics

Standard deviation159059.73
Coefficient of variation (CV)0.16471181
Kurtosis-0.32995519
Mean965685
Median Absolute Deviation (MAD)93365
Skewness-0.18399637
Sum39593085
Variance2.5299997 × 1010
MonotonicityNot monotonic
2023-12-13T07:12:42.854803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
667554 1
 
2.4%
1072610 1
 
2.4%
986339 1
 
2.4%
1009145 1
 
2.4%
1021771 1
 
2.4%
1030256 1
 
2.4%
1047897 1
 
2.4%
1052407 1
 
2.4%
1057958 1
 
2.4%
1064472 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
667554 1
2.4%
669733 1
2.4%
682281 1
2.4%
696951 1
2.4%
716629 1
2.4%
737688 1
2.4%
767123 1
2.4%
810069 1
2.4%
843262 1
2.4%
884648 1
2.4%
ValueCountFrequency (%)
1280994 1
2.4%
1261421 1
2.4%
1221322 1
2.4%
1195051 1
2.4%
1160586 1
2.4%
1120458 1
2.4%
1107972 1
2.4%
1093038 1
2.4%
1081147 1
2.4%
1072610 1
2.4%

전년대비증감율
Real number (ℝ)

UNIQUE  ZEROS 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.647561
Minimum-4.02
Maximum5.6
Zeros1
Zeros (%)2.4%
Negative3
Negative (%)7.3%
Memory size501.0 B
2023-12-13T07:12:43.017021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.02
5-th percentile-0.52
Q10.8
median1.71
Q32.31
95-th percentile4.23
Maximum5.6
Range9.62
Interquartile range (IQR)1.51

Descriptive statistics

Standard deviation1.8125214
Coefficient of variation (CV)1.100124
Kurtosis2.311414
Mean1.647561
Median Absolute Deviation (MAD)0.91
Skewness-0.63572657
Sum67.55
Variance3.2852339
MonotonicityNot monotonic
2023-12-13T07:12:43.188275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 1
 
2.4%
0.76 1
 
2.4%
2.25 1
 
2.4%
2.31 1
 
2.4%
1.25 1
 
2.4%
0.83 1
 
2.4%
1.71 1
 
2.4%
0.43 1
 
2.4%
0.53 1
 
2.4%
0.62 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
-4.02 1
2.4%
-3.02 1
2.4%
-0.52 1
2.4%
0.0 1
2.4%
0.33 1
2.4%
0.43 1
2.4%
0.44 1
2.4%
0.53 1
2.4%
0.62 1
2.4%
0.76 1
2.4%
ValueCountFrequency (%)
5.6 1
2.4%
4.91 1
2.4%
4.23 1
2.4%
4.1 1
2.4%
4.0 1
2.4%
3.99 1
2.4%
3.28 1
2.4%
2.97 1
2.4%
2.94 1
2.4%
2.82 1
2.4%

정무직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean501.53659
Minimum0
Maximum2221
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:43.366248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median141
Q3179
95-th percentile1932
Maximum2221
Range2221
Interquartile range (IQR)179

Descriptive statistics

Standard deviation796.84936
Coefficient of variation (CV)1.588816
Kurtosis-0.36525499
Mean501.53659
Median Absolute Deviation (MAD)141
Skewness1.2490107
Sum20563
Variance634968.9
MonotonicityNot monotonic
2023-12-13T07:12:43.545411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 19
46.3%
148 2
 
4.9%
144 2
 
4.9%
1678 1
 
2.4%
173 1
 
2.4%
179 1
 
2.4%
145 1
 
2.4%
141 1
 
2.4%
146 1
 
2.4%
142 1
 
2.4%
Other values (11) 11
26.8%
ValueCountFrequency (%)
0 19
46.3%
139 1
 
2.4%
141 1
 
2.4%
142 1
 
2.4%
144 2
 
4.9%
145 1
 
2.4%
146 1
 
2.4%
148 2
 
4.9%
150 1
 
2.4%
173 1
 
2.4%
ValueCountFrequency (%)
2221 1
2.4%
1938 1
2.4%
1932 1
2.4%
1916 1
2.4%
1906 1
2.4%
1905 1
2.4%
1871 1
2.4%
1703 1
2.4%
1694 1
2.4%
1678 1
2.4%

별정직(국가)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15551.024
Minimum119
Maximum37598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:43.711145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum119
5-th percentile1612
Q13014
median5036
Q331991
95-th percentile35994
Maximum37598
Range37479
Interquartile range (IQR)28977

Descriptive statistics

Standard deviation14734.542
Coefficient of variation (CV)0.94749658
Kurtosis-1.7992819
Mean15551.024
Median Absolute Deviation (MAD)3424
Skewness0.37836181
Sum637592
Variance2.1710674 × 108
MonotonicityNot monotonic
2023-12-13T07:12:43.864629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
119 1
 
2.4%
3060 1
 
2.4%
3108 1
 
2.4%
4919 1
 
2.4%
5036 1
 
2.4%
5027 1
 
2.4%
4332 1
 
2.4%
4220 1
 
2.4%
7676 1
 
2.4%
6007 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
119 1
2.4%
1604 1
2.4%
1612 1
2.4%
1643 1
2.4%
1649 1
2.4%
1705 1
2.4%
1736 1
2.4%
1756 1
2.4%
1942 1
2.4%
2155 1
2.4%
ValueCountFrequency (%)
37598 1
2.4%
36624 1
2.4%
35994 1
2.4%
35755 1
2.4%
35679 1
2.4%
35627 1
2.4%
33405 1
2.4%
32599 1
2.4%
32588 1
2.4%
32325 1
2.4%

별정직(지방)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean919.09756
Minimum0
Maximum4655
Zeros31
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:44.000162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3806
Maximum4655
Range4655
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1646.9629
Coefficient of variation (CV)1.7919348
Kurtosis-0.30191882
Mean919.09756
Median Absolute Deviation (MAD)0
Skewness1.2796893
Sum37683
Variance2712486.9
MonotonicityNot monotonic
2023-12-13T07:12:44.119708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 31
75.6%
4655 1
 
2.4%
3995 1
 
2.4%
3806 1
 
2.4%
3730 1
 
2.4%
3626 1
 
2.4%
3586 1
 
2.4%
3665 1
 
2.4%
3651 1
 
2.4%
3648 1
 
2.4%
ValueCountFrequency (%)
0 31
75.6%
3321 1
 
2.4%
3586 1
 
2.4%
3626 1
 
2.4%
3648 1
 
2.4%
3651 1
 
2.4%
3665 1
 
2.4%
3730 1
 
2.4%
3806 1
 
2.4%
3995 1
 
2.4%
ValueCountFrequency (%)
4655 1
2.4%
3995 1
2.4%
3806 1
2.4%
3730 1
2.4%
3665 1
2.4%
3651 1
2.4%
3648 1
2.4%
3626 1
2.4%
3586 1
2.4%
3321 1
2.4%

일반직(국가)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185517.71
Minimum72901
Maximum515371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:44.270859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72901
5-th percentile73741
Q176773
median87803
Q3328206
95-th percentile479562
Maximum515371
Range442470
Interquartile range (IQR)251433

Descriptive statistics

Standard deviation164348.05
Coefficient of variation (CV)0.88588875
Kurtosis-0.7701206
Mean185517.71
Median Absolute Deviation (MAD)12439
Skewness1.0541201
Sum7606226
Variance2.7010282 × 1010
MonotonicityNot monotonic
2023-12-13T07:12:44.410486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
100100 1
 
2.4%
392690 1
 
2.4%
73725 1
 
2.4%
75362 1
 
2.4%
79024 1
 
2.4%
82095 1
 
2.4%
85652 1
 
2.4%
90180 1
 
2.4%
315207 1
 
2.4%
328206 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
72901 1
2.4%
73725 1
2.4%
73741 1
2.4%
74187 1
2.4%
74274 1
2.4%
74905 1
2.4%
75362 1
2.4%
75364 1
2.4%
75688 1
2.4%
76133 1
2.4%
ValueCountFrequency (%)
515371 1
2.4%
500652 1
2.4%
479562 1
2.4%
467747 1
2.4%
455878 1
2.4%
444293 1
2.4%
436636 1
2.4%
429242 1
2.4%
424150 1
2.4%
392690 1
2.4%

일반직(지방)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119972.9
Minimum0
Maximum220164
Zeros12
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:44.520899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median145159
Q3185386
95-th percentile215873
Maximum220164
Range220164
Interquartile range (IQR)185386

Descriptive statistics

Standard deviation84531.078
Coefficient of variation (CV)0.70458475
Kurtosis-1.4059987
Mean119972.9
Median Absolute Deviation (MAD)51148
Skewness-0.52258642
Sum4918889
Variance7.1455031 × 109
MonotonicityNot monotonic
2023-12-13T07:12:44.657874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 12
29.3%
121695 1
 
2.4%
185386 1
 
2.4%
217734 1
 
2.4%
220164 1
 
2.4%
215873 1
 
2.4%
214373 1
 
2.4%
214333 1
 
2.4%
207654 1
 
2.4%
197494 1
 
2.4%
Other values (20) 20
48.8%
ValueCountFrequency (%)
0 12
29.3%
78087 1
 
2.4%
100704 1
 
2.4%
115637 1
 
2.4%
116718 1
 
2.4%
121695 1
 
2.4%
121775 1
 
2.4%
138603 1
 
2.4%
143948 1
 
2.4%
145159 1
 
2.4%
ValueCountFrequency (%)
220164 1
2.4%
217734 1
2.4%
215873 1
2.4%
214373 1
2.4%
214333 1
2.4%
207654 1
2.4%
197494 1
2.4%
196307 1
2.4%
191805 1
2.4%
187751 1
2.4%

경찰소방
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126672.9
Minimum69045
Maximum207885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:44.800705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69045
5-th percentile72061
Q1103846
median124525
Q3149018
95-th percentile194595
Maximum207885
Range138840
Interquartile range (IQR)45172

Descriptive statistics

Standard deviation37774.521
Coefficient of variation (CV)0.29820523
Kurtosis-0.4961815
Mean126672.9
Median Absolute Deviation (MAD)24493
Skewness0.34064385
Sum5193589
Variance1.4269145 × 109
MonotonicityNot monotonic
2023-12-13T07:12:44.949623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
77888 1
 
2.4%
151042 1
 
2.4%
128406 1
 
2.4%
131010 1
 
2.4%
132541 1
 
2.4%
135302 1
 
2.4%
140055 1
 
2.4%
143913 1
 
2.4%
145798 1
 
2.4%
149018 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
69045 1
2.4%
69947 1
2.4%
72061 1
2.4%
75323 1
2.4%
77307 1
2.4%
77888 1
2.4%
78511 1
2.4%
81163 1
2.4%
88677 1
2.4%
96212 1
2.4%
ValueCountFrequency (%)
207885 1
2.4%
202998 1
2.4%
194595 1
2.4%
188473 1
2.4%
177871 1
2.4%
171717 1
2.4%
167443 1
2.4%
161663 1
2.4%
155696 1
2.4%
151042 1
2.4%

교육직
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307415.46
Minimum197387
Maximum378709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:45.118582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197387
5-th percentile212423
Q1276021
median300474
Q3357528
95-th percentile375767
Maximum378709
Range181322
Interquartile range (IQR)81507

Descriptive statistics

Standard deviation54662.923
Coefficient of variation (CV)0.17781449
Kurtosis-1.0536252
Mean307415.46
Median Absolute Deviation (MAD)54469
Skewness-0.35391758
Sum12604034
Variance2.9880352 × 109
MonotonicityNot monotonic
2023-12-13T07:12:45.281312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
197387 1
 
2.4%
360218 1
 
2.4%
331394 1
 
2.4%
340679 1
 
2.4%
347961 1
 
2.4%
350715 1
 
2.4%
354943 1
 
2.4%
356336 1
 
2.4%
357271 1
 
2.4%
357528 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
197387 1
2.4%
206296 1
2.4%
212423 1
2.4%
220190 1
2.4%
228283 1
2.4%
237625 1
2.4%
245071 1
2.4%
259266 1
2.4%
267337 1
2.4%
272337 1
2.4%
ValueCountFrequency (%)
378709 1
2.4%
377849 1
2.4%
375767 1
2.4%
373114 1
2.4%
371024 1
2.4%
367009 1
2.4%
365809 1
2.4%
363092 1
2.4%
362587 1
2.4%
360218 1
2.4%

법관검사
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3245.4634
Minimum1022
Maximum5430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:45.445798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1022
5-th percentile1157
Q11980
median3204
Q34606
95-th percentile5326
Maximum5430
Range4408
Interquartile range (IQR)2626

Descriptive statistics

Standard deviation1446.0306
Coefficient of variation (CV)0.44555443
Kurtosis-1.4327521
Mean3245.4634
Median Absolute Deviation (MAD)1333
Skewness0.050734876
Sum133064
Variance2091004.5
MonotonicityNot monotonic
2023-12-13T07:12:45.605202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1026 1
 
2.4%
4717 1
 
2.4%
3665 1
 
2.4%
3798 1
 
2.4%
3935 1
 
2.4%
4057 1
 
2.4%
4177 1
 
2.4%
4336 1
 
2.4%
4442 1
 
2.4%
4606 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1022 1
2.4%
1026 1
2.4%
1157 1
2.4%
1336 1
2.4%
1468 1
2.4%
1506 1
2.4%
1633 1
2.4%
1720 1
2.4%
1816 1
2.4%
1871 1
2.4%
ValueCountFrequency (%)
5430 1
2.4%
5429 1
2.4%
5326 1
2.4%
5197 1
2.4%
5157 1
2.4%
5144 1
2.4%
5025 1
2.4%
4933 1
2.4%
4837 1
2.4%
4717 1
2.4%

기능직
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106190.8
Minimum64
Maximum197907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:45.767636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile353
Q148681
median139677
Q3158090
95-th percentile196655
Maximum197907
Range197843
Interquartile range (IQR)109409

Descriptive statistics

Standard deviation71696.766
Coefficient of variation (CV)0.67516925
Kurtosis-1.461769
Mean106190.8
Median Absolute Deviation (MAD)55586
Skewness-0.330395
Sum4353823
Variance5.1404262 × 109
MonotonicityNot monotonic
2023-12-13T07:12:45.939276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
66204 1
 
2.4%
37521 1
 
2.4%
146997 1
 
2.4%
145568 1
 
2.4%
143354 1
 
2.4%
140462 1
 
2.4%
139677 1
 
2.4%
135240 1
 
2.4%
131336 1
 
2.4%
120128 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
64 1
2.4%
158 1
2.4%
353 1
2.4%
674 1
2.4%
991 1
2.4%
3741 1
2.4%
4637 1
2.4%
6326 1
2.4%
7131 1
2.4%
37521 1
2.4%
ValueCountFrequency (%)
197907 1
2.4%
197112 1
2.4%
196655 1
2.4%
195263 1
2.4%
195259 1
2.4%
190278 1
2.4%
183865 1
2.4%
181356 1
2.4%
169580 1
2.4%
162159 1
2.4%

고용직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21835.366
Minimum0
Maximum110988
Zeros15
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:46.099833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4071
Q311368
95-th percentile104648
Maximum110988
Range110988
Interquartile range (IQR)11368

Descriptive statistics

Standard deviation38007.859
Coefficient of variation (CV)1.7406559
Kurtosis1.0820451
Mean21835.366
Median Absolute Deviation (MAD)4071
Skewness1.679607
Sum895250
Variance1.4445974 × 109
MonotonicityNot monotonic
2023-12-13T07:12:46.575549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 15
36.6%
95938 1
 
2.4%
97317 1
 
2.4%
1 1
 
2.4%
3 1
 
2.4%
56 1
 
2.4%
1863 1
 
2.4%
3427 1
 
2.4%
4071 1
 
2.4%
4496 1
 
2.4%
Other values (17) 17
41.5%
ValueCountFrequency (%)
0 15
36.6%
1 1
 
2.4%
3 1
 
2.4%
56 1
 
2.4%
1863 1
 
2.4%
3427 1
 
2.4%
4071 1
 
2.4%
4496 1
 
2.4%
5533 1
 
2.4%
6413 1
 
2.4%
ValueCountFrequency (%)
110988 1
2.4%
107501 1
2.4%
104648 1
2.4%
102491 1
2.4%
99546 1
2.4%
97317 1
2.4%
95938 1
2.4%
39972 1
2.4%
28672 1
2.4%
14126 1
2.4%

공안직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17812.293
Minimum0
Maximum37662
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:46.723179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median26935
Q334761
95-th percentile36856
Maximum37662
Range37662
Interquartile range (IQR)34761

Descriptive statistics

Standard deviation16969.542
Coefficient of variation (CV)0.95268715
Kurtosis-2.0064067
Mean17812.293
Median Absolute Deviation (MAD)10431
Skewness-0.079479759
Sum730304
Variance2.8796537 × 108
MonotonicityNot monotonic
2023-12-13T07:12:46.862482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
26414 1
 
2.4%
37662 1
 
2.4%
37366 1
 
2.4%
36856 1
 
2.4%
36791 1
 
2.4%
35970 1
 
2.4%
35029 1
 
2.4%
36228 1
 
2.4%
36400 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
26414 1
 
2.4%
26935 1
 
2.4%
27402 1
 
2.4%
28331 1
 
2.4%
28834 1
 
2.4%
30391 1
 
2.4%
31415 1
 
2.4%
31773 1
 
2.4%
32875 1
 
2.4%
ValueCountFrequency (%)
37662 1
2.4%
37366 1
2.4%
36856 1
2.4%
36791 1
2.4%
36400 1
2.4%
36228 1
2.4%
35970 1
2.4%
35666 1
2.4%
35657 1
2.4%
35029 1
2.4%

군무원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12165.341
Minimum0
Maximum34911
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:47.019365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19744
Q321008
95-th percentile28856
Maximum34911
Range34911
Interquartile range (IQR)21008

Descriptive statistics

Standard deviation11887.856
Coefficient of variation (CV)0.9771905
Kurtosis-1.5816936
Mean12165.341
Median Absolute Deviation (MAD)14232
Skewness0.1198755
Sum498779
Variance1.4132112 × 108
MonotonicityNot monotonic
2023-12-13T07:12:47.157991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
19732 1
 
2.4%
34911 1
 
2.4%
33976 1
 
2.4%
28856 1
 
2.4%
26214 1
 
2.4%
24147 1
 
2.4%
22158 1
 
2.4%
22024 1
 
2.4%
21712 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
19732 1
 
2.4%
19744 1
 
2.4%
19751 1
 
2.4%
19780 1
 
2.4%
20047 1
 
2.4%
20187 1
 
2.4%
20220 1
 
2.4%
20310 1
 
2.4%
20332 1
 
2.4%
ValueCountFrequency (%)
34911 1
2.4%
33976 1
2.4%
28856 1
2.4%
26214 1
2.4%
24147 1
2.4%
22158 1
2.4%
22024 1
2.4%
21712 1
2.4%
21423 1
2.4%
21402 1
2.4%

연구직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4273.6585
Minimum0
Maximum11008
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:47.295775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5670
Q37899
95-th percentile10148
Maximum11008
Range11008
Interquartile range (IQR)7899

Descriptive statistics

Standard deviation4187.9882
Coefficient of variation (CV)0.97995386
Kurtosis-1.7785389
Mean4273.6585
Median Absolute Deviation (MAD)5024
Skewness0.088999311
Sum175220
Variance17539245
MonotonicityIncreasing
2023-12-13T07:12:47.448790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
5493 1
 
2.4%
11008 1
 
2.4%
10694 1
 
2.4%
10148 1
 
2.4%
9722 1
 
2.4%
9391 1
 
2.4%
9106 1
 
2.4%
8851 1
 
2.4%
8657 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
5493 1
 
2.4%
5670 1
 
2.4%
5788 1
 
2.4%
6024 1
 
2.4%
6340 1
 
2.4%
6874 1
 
2.4%
7208 1
 
2.4%
7222 1
 
2.4%
7316 1
 
2.4%
ValueCountFrequency (%)
11008 1
2.4%
10694 1
2.4%
10148 1
2.4%
9722 1
2.4%
9391 1
2.4%
9106 1
2.4%
8851 1
2.4%
8657 1
2.4%
8340 1
2.4%
8198 1
2.4%

지도직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2583.5122
Minimum0
Maximum5149
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:47.589733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4548
Q34779
95-th percentile5089
Maximum5149
Range5149
Interquartile range (IQR)4779

Descriptive statistics

Standard deviation2435.6587
Coefficient of variation (CV)0.94277035
Kurtosis-2.0661223
Mean2583.5122
Median Absolute Deviation (MAD)561
Skewness-0.13968324
Sum105924
Variance5932433.3
MonotonicityNot monotonic
2023-12-13T07:12:47.751530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 19
46.3%
4613 3
 
7.3%
5109 1
 
2.4%
4878 1
 
2.4%
4861 1
 
2.4%
4779 1
 
2.4%
4715 1
 
2.4%
4648 1
 
2.4%
4604 1
 
2.4%
4548 1
 
2.4%
Other values (11) 11
26.8%
ValueCountFrequency (%)
0 19
46.3%
4519 1
 
2.4%
4548 1
 
2.4%
4604 1
 
2.4%
4613 3
 
7.3%
4648 1
 
2.4%
4650 1
 
2.4%
4661 1
 
2.4%
4715 1
 
2.4%
4722 1
 
2.4%
ValueCountFrequency (%)
5149 1
2.4%
5109 1
2.4%
5089 1
2.4%
5082 1
2.4%
5080 1
2.4%
5059 1
2.4%
5028 1
2.4%
4904 1
2.4%
4878 1
2.4%
4861 1
2.4%

계약직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4262.5854
Minimum0
Maximum15878
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:47.861921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2544
Q37718
95-th percentile14743
Maximum15878
Range15878
Interquartile range (IQR)7718

Descriptive statistics

Standard deviation4998.6342
Coefficient of variation (CV)1.1726766
Kurtosis-0.30178149
Mean4262.5854
Median Absolute Deviation (MAD)2544
Skewness0.90171698
Sum174766
Variance24986344
MonotonicityNot monotonic
2023-12-13T07:12:48.001462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
2334 1
 
2.4%
15878 1
 
2.4%
15112 1
 
2.4%
14743 1
 
2.4%
13517 1
 
2.4%
11291 1
 
2.4%
9754 1
 
2.4%
9308 1
 
2.4%
8611 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
2334 1
 
2.4%
2544 1
 
2.4%
2806 1
 
2.4%
3469 1
 
2.4%
4100 1
 
2.4%
4758 1
 
2.4%
5650 1
 
2.4%
6010 1
 
2.4%
6297 1
 
2.4%
ValueCountFrequency (%)
15878 1
2.4%
15112 1
2.4%
14743 1
2.4%
13517 1
2.4%
11291 1
2.4%
9754 1
2.4%
9308 1
2.4%
8849 1
2.4%
8611 1
2.4%
8463 1
2.4%

공중보건의
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2256.9756
Minimum0
Maximum5281
Zeros19
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:48.136233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3493
Q34062
95-th percentile5173
Maximum5281
Range5281
Interquartile range (IQR)4062

Descriptive statistics

Standard deviation2182.4601
Coefficient of variation (CV)0.96698436
Kurtosis-1.871347
Mean2256.9756
Median Absolute Deviation (MAD)1689
Skewness0.015971574
Sum92536
Variance4763132.1
MonotonicityNot monotonic
2023-12-13T07:12:48.267696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 19
46.3%
3691 1
 
2.4%
3371 1
 
2.4%
3525 1
 
2.4%
3494 1
 
2.4%
3547 1
 
2.4%
3544 1
 
2.4%
3625 1
 
2.4%
3493 1
 
2.4%
3634 1
 
2.4%
Other values (13) 13
31.7%
ValueCountFrequency (%)
0 19
46.3%
3371 1
 
2.4%
3493 1
 
2.4%
3494 1
 
2.4%
3525 1
 
2.4%
3544 1
 
2.4%
3547 1
 
2.4%
3625 1
 
2.4%
3634 1
 
2.4%
3691 1
 
2.4%
ValueCountFrequency (%)
5281 1
2.4%
5182 1
2.4%
5173 1
2.4%
5141 1
2.4%
5027 1
2.4%
5020 1
2.4%
4760 1
2.4%
4642 1
2.4%
4556 1
2.4%
4077 1
2.4%

기타
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34508.366
Minimum2744
Maximum67017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T07:12:48.444221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2744
5-th percentile5151
Q116096
median28165
Q355872
95-th percentile64012
Maximum67017
Range64273
Interquartile range (IQR)39776

Descriptive statistics

Standard deviation21021.102
Coefficient of variation (CV)0.60915958
Kurtosis-1.6001968
Mean34508.366
Median Absolute Deviation (MAD)16414
Skewness0.075801871
Sum1414843
Variance4.4188672 × 108
MonotonicityNot monotonic
2023-12-13T07:12:48.611884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7197 1
 
2.4%
40987 1
 
2.4%
15864 1
 
2.4%
16096 1
 
2.4%
16163 1
 
2.4%
16460 1
 
2.4%
16577 1
 
2.4%
16737 1
 
2.4%
18243 1
 
2.4%
18359 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
2744 1
2.4%
3382 1
2.4%
5151 1
2.4%
7197 1
2.4%
11348 1
2.4%
11751 1
2.4%
13736 1
2.4%
15538 1
2.4%
15690 1
2.4%
15864 1
2.4%
ValueCountFrequency (%)
67017 1
2.4%
65086 1
2.4%
64012 1
2.4%
63463 1
2.4%
58772 1
2.4%
57873 1
2.4%
57784 1
2.4%
56805 1
2.4%
56712 1
2.4%
56112 1
2.4%

Interactions

2023-12-13T07:12:39.389601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:04.669188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T07:12:20.604830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:22.166055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T07:12:24.164576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:26.162660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:27.761568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:29.744434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:31.824654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:33.676007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:35.896980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:37.732800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:39.314150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:12:48.751714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분전년대비증감율정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직공중보건의기타
구분1.0000.9470.5880.7440.7940.7700.8470.8630.9510.9600.9670.8670.6660.9260.8310.8950.8920.9310.9670.877
0.9471.0000.5400.4110.6660.4160.8130.8120.9610.9570.9250.8010.7750.7800.8120.8510.8070.9210.8260.786
전년대비증감율0.5880.5401.0000.0000.3980.0000.0000.3590.1730.1050.5950.6480.6500.0000.0000.0000.0000.0000.0000.332
정무직0.7440.4110.0001.0000.5590.9590.0000.8180.4590.7170.8100.8090.0000.9210.6110.7760.4450.9320.6540.575
별정직(국가)0.7940.6660.3980.5591.0000.6670.7500.9590.6380.8420.8420.8680.5430.9450.4520.6430.7160.5170.7540.661
별정직(지방)0.7700.4160.0000.9590.6671.0000.0000.8820.4630.8380.8100.5830.0000.9420.6110.9370.4450.8180.6480.641
일반직(국가)0.8470.8130.0000.0000.7500.0001.0000.7320.9650.6150.7070.7770.0000.6680.9090.8240.8890.8640.7190.816
일반직(지방)0.8630.8120.3590.8180.9590.8820.7321.0000.7820.9020.8290.8770.8110.9600.6050.6880.7460.5030.7110.760
경찰소방0.9510.9610.1730.4590.6380.4630.9650.7821.0000.8790.9390.8050.6820.8400.9120.8720.8580.9470.8700.828
교육직0.9600.9570.1050.7170.8420.8380.6150.9020.8791.0000.9380.8490.7940.9260.6170.7720.7640.8440.9110.824
법관검사0.9670.9250.5950.8100.8420.8100.7070.8290.9390.9381.0000.8120.3160.9940.7600.8930.9040.8880.9650.789
기능직0.8670.8010.6480.8090.8680.5830.7770.8770.8050.8490.8121.0000.7070.9520.6770.6850.7820.7620.7480.845
고용직0.6660.7750.6500.0000.5430.0000.0000.8110.6820.7940.3160.7071.0000.2290.0000.0000.6230.0000.0000.787
공안직0.9260.7800.0000.9210.9450.9420.6680.9600.8400.9260.9940.9520.2291.0000.9040.9570.7620.9670.7930.828
군무원0.8310.8120.0000.6110.4520.6110.9090.6050.9120.6170.7600.6770.0000.9041.0000.8580.9980.9370.7530.830
연구직0.8950.8510.0000.7760.6430.9370.8240.6880.8720.7720.8930.6850.0000.9570.8581.0000.8790.9190.8440.760
지도직0.8920.8070.0000.4450.7160.4450.8890.7460.8580.7640.9040.7820.6230.7620.9980.8791.0000.9540.7900.982
계약직0.9310.9210.0000.9320.5170.8180.8640.5030.9470.8440.8880.7620.0000.9670.9370.9190.9541.0000.9570.787
공중보건의0.9670.8260.0000.6540.7540.6480.7190.7110.8700.9110.9650.7480.0000.7930.7530.8440.7900.9571.0000.765
기타0.8770.7860.3320.5750.6610.6410.8160.7600.8280.8240.7890.8450.7870.8280.8300.7600.9820.7870.7651.000
2023-12-13T07:12:48.937605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분전년대비증감율정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직공중보건의기타
구분1.0000.965-0.0790.679-0.6750.1500.446-0.2910.9930.9911.000-0.493-0.9670.9460.9330.9490.6840.9490.6640.397
0.9651.000-0.0430.589-0.5660.0340.479-0.2800.9550.9830.964-0.443-0.9310.9030.8770.9060.5730.9060.5810.512
전년대비증감율-0.079-0.0431.000-0.0560.026-0.0720.070-0.131-0.104-0.045-0.076-0.1680.2150.0060.0400.0110.0070.009-0.1130.039
정무직0.6790.589-0.0561.000-0.6220.758-0.0210.2280.6740.6750.680-0.264-0.7310.7200.7130.7160.9460.7160.961-0.247
별정직(국가)-0.675-0.5660.026-0.6221.000-0.226-0.5260.418-0.698-0.654-0.6790.7700.654-0.813-0.837-0.816-0.668-0.815-0.5780.070
별정직(지방)0.1500.034-0.0720.758-0.2261.000-0.5420.6720.1570.1440.1500.216-0.2330.1620.1900.1580.7550.1580.727-0.558
일반직(국가)0.4460.4790.070-0.021-0.526-0.5421.000-0.8180.4490.4490.446-0.839-0.3950.5810.5410.586-0.0320.585-0.0160.315
일반직(지방)-0.291-0.280-0.1310.2280.4180.672-0.8181.000-0.294-0.278-0.2900.7270.193-0.406-0.410-0.4120.151-0.4120.212-0.294
경찰소방0.9930.955-0.1040.674-0.6980.1570.449-0.2941.0000.9860.994-0.485-0.9670.9420.9330.9460.6860.9450.6550.385
교육직0.9910.983-0.0450.675-0.6540.1440.449-0.2780.9861.0000.990-0.479-0.9580.9440.9310.9470.6790.9470.6610.411
법관검사1.0000.964-0.0760.680-0.6790.1500.446-0.2900.9940.9901.000-0.493-0.9670.9460.9320.9490.6840.9490.6650.395
기능직-0.493-0.443-0.168-0.2640.7700.216-0.8390.727-0.485-0.479-0.4931.0000.418-0.690-0.673-0.693-0.277-0.693-0.242-0.031
고용직-0.967-0.9310.215-0.7310.654-0.233-0.3950.193-0.967-0.958-0.9670.4181.000-0.920-0.895-0.920-0.695-0.920-0.752-0.291
공안직0.9460.9030.0060.720-0.8130.1620.581-0.4060.9420.9440.946-0.690-0.9201.0000.9800.9970.7180.9960.7030.227
군무원0.9330.8770.0400.713-0.8370.1900.541-0.4100.9330.9310.932-0.673-0.8950.9801.0000.9830.7430.9820.6960.209
연구직0.9490.9060.0110.716-0.8160.1580.586-0.4120.9460.9470.949-0.693-0.9200.9970.9831.0000.7211.0000.7000.234
지도직0.6840.5730.0070.946-0.6680.755-0.0320.1510.6860.6790.684-0.277-0.6950.7180.7430.7211.0000.7210.896-0.216
계약직0.9490.9060.0090.716-0.8150.1580.585-0.4120.9450.9470.949-0.693-0.9200.9960.9821.0000.7211.0000.7000.234
공중보건의0.6640.581-0.1130.961-0.5780.727-0.0160.2120.6550.6610.665-0.242-0.7520.7030.6960.7000.8960.7001.000-0.296
기타0.3970.5120.039-0.2470.070-0.5580.315-0.2940.3850.4110.395-0.031-0.2910.2270.2090.234-0.2160.234-0.2961.000

Missing values

2023-12-13T07:12:41.845801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:12:42.136338image/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

구분전년대비증감율정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직공중보건의기타
019826675540.00119010010012169577888197387102666204959380000007197
119836697330.33013707094836100704699472062961022593959731700000026509
219846822811.870238610127588780876904521242311575587810249100000011751
319856969512.15027501097381115637720612201901336554531046480000002744
419867166292.820292240878031167187730722828314685458910750100000013736
519877376882.940308770827481217757532323762515064868111098800000028165
619887671233.99031335088248143948785112450711633674839954600000011348
719898100695.60319910906831386038116325926617201407013997200000025970
819908432624.10325880942281451598867726733718161580902867200000026695
919918846484.910325990756881584649621227233718711813561412600000051995
구분전년대비증감율정무직별정직(국가)별정직(지방)일반직(국가)일반직(지방)경찰소방교육직법관검사기능직고용직공안직군무원연구직지도직계약직공중보건의기타
31201310726100.7614430600392690015104236021847173752103566621402819846138463388940987
32201410811470.81482155042415001556963625874837713103565721008834045198849380242268
33201510930381.91481942042924201616633630924933632603640021712865745488611363442130
34201611079721.371391705043663601674433658095025463703622822024885146049308349342070
35201711204581.131421649044429301717173670095144374103502922158910646139754362542478
36201811605864.01461756045587801778713710245157991035970241479391464811291354458772
37201911950512.971411736046774701884733731145197674036791262149722471513517354763463
38202012213222.214516120479562019459537576753263530368562885610148477914743349465086
39202112614213.2817916040500652020299837784954301580373663397610694486115112352567017
40202212809941.551731643051537102078853787095429640376623491111008487815878337164012