Overview

Dataset statistics

Number of variables19
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory177.0 B

Variable types

Numeric19

Dataset

Description직종별(정무직, 별정직, 일반직, 경찰, 소방, 교육 등) 가입자 평균재직년수에 대한 데이터입니다. 평균값부터 증감률 등의 데이터가 있습니다.
URLhttps://www.data.go.kr/data/15052945/fileData.do

Alerts

연도 is highly overall correlated with 전체평균재직연수 and 13 other fieldsHigh correlation
전체평균재직연수 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
증감평균재직연수 is highly overall correlated with 연도 and 5 other fieldsHigh correlation
증감률(퍼센트) is highly overall correlated with 연도 and 5 other fieldsHigh correlation
정무직 is highly overall correlated with 연도 and 15 other fieldsHigh correlation
별정직 is highly overall correlated with 정무직 and 3 other fieldsHigh correlation
일반직 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
경찰 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
소방 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
교육 is highly overall correlated with 연도 and 15 other fieldsHigh correlation
법관검사 is highly overall correlated with 연도 and 13 other fieldsHigh correlation
기능직 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
공안직 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
군무원 is highly overall correlated with 전체평균재직연수 and 13 other fieldsHigh correlation
연구직 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
지도직 is highly overall correlated with 전체평균재직연수 and 11 other fieldsHigh correlation
계약직 is highly overall correlated with 연도 and 16 other fieldsHigh correlation
공중보건의 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
기타 is highly overall correlated with 전체평균재직연수 and 12 other fieldsHigh correlation
연도 has unique valuesUnique
증감평균재직연수 has 3 (13.6%) zerosZeros
증감률(퍼센트) has 3 (13.6%) zerosZeros
정무직 has 6 (27.3%) zerosZeros
별정직 has 6 (27.3%) zerosZeros
일반직 has 6 (27.3%) zerosZeros
경찰 has 6 (27.3%) zerosZeros
소방 has 10 (45.5%) zerosZeros
교육 has 6 (27.3%) zerosZeros
법관검사 has 6 (27.3%) zerosZeros
기능직 has 6 (27.3%) zerosZeros
공안직 has 6 (27.3%) zerosZeros
군무원 has 6 (27.3%) zerosZeros
연구직 has 6 (27.3%) zerosZeros
지도직 has 6 (27.3%) zerosZeros
계약직 has 6 (27.3%) zerosZeros
공중보건의 has 6 (27.3%) zerosZeros
기타 has 6 (27.3%) zerosZeros

Reproduction

Analysis started2023-12-12 00:07:35.949179
Analysis finished2023-12-12 00:08:18.652088
Duration42.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.5
Minimum2001
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:18.716546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2002.05
Q12006.25
median2011.5
Q32016.75
95-th percentile2020.95
Maximum2022
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.003228231
Kurtosis-1.2
Mean2011.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum44253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T09:08:18.829151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2001 1
 
4.5%
2013 1
 
4.5%
2022 1
 
4.5%
2021 1
 
4.5%
2020 1
 
4.5%
2019 1
 
4.5%
2018 1
 
4.5%
2017 1
 
4.5%
2016 1
 
4.5%
2015 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
2001 1
4.5%
2002 1
4.5%
2003 1
4.5%
2004 1
4.5%
2005 1
4.5%
2006 1
4.5%
2007 1
4.5%
2008 1
4.5%
2009 1
4.5%
2010 1
4.5%
ValueCountFrequency (%)
2022 1
4.5%
2021 1
4.5%
2020 1
4.5%
2019 1
4.5%
2018 1
4.5%
2017 1
4.5%
2016 1
4.5%
2015 1
4.5%
2014 1
4.5%
2013 1
4.5%

전체평균재직연수
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.231818
Minimum14.7
Maximum17.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:18.940904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.7
5-th percentile15.11
Q115.525
median16.05
Q317.2
95-th percentile17.4
Maximum17.7
Range3
Interquartile range (IQR)1.675

Descriptive statistics

Standard deviation0.90363623
Coefficient of variation (CV)0.055670672
Kurtosis-1.3635772
Mean16.231818
Median Absolute Deviation (MAD)0.75
Skewness0.14960717
Sum357.1
Variance0.81655844
MonotonicityNot monotonic
2023-12-12T09:08:19.042524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
17.2 3
13.6%
16.4 2
 
9.1%
17.4 2
 
9.1%
15.3 2
 
9.1%
15.6 2
 
9.1%
15.8 1
 
4.5%
16.1 1
 
4.5%
16.8 1
 
4.5%
17.3 1
 
4.5%
17.7 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
14.7 1
4.5%
15.1 1
4.5%
15.3 2
9.1%
15.4 1
4.5%
15.5 1
4.5%
15.6 2
9.1%
15.7 1
4.5%
15.8 1
4.5%
16.0 1
4.5%
16.1 1
4.5%
ValueCountFrequency (%)
17.7 1
 
4.5%
17.4 2
9.1%
17.3 1
 
4.5%
17.2 3
13.6%
16.8 1
 
4.5%
16.4 2
9.1%
16.1 1
 
4.5%
16.0 1
 
4.5%
15.8 1
 
4.5%
15.7 1
 
4.5%

증감평균재직연수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.040909091
Minimum-0.4
Maximum0.8
Zeros3
Zeros (%)13.6%
Negative8
Negative (%)36.4%
Memory size330.0 B
2023-12-12T09:08:19.153729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.395
Q1-0.175
median0.05
Q30.2
95-th percentile0.4
Maximum0.8
Range1.2
Interquartile range (IQR)0.375

Descriptive statistics

Standard deviation0.29866224
Coefficient of variation (CV)7.3006326
Kurtosis0.47040586
Mean0.040909091
Median Absolute Deviation (MAD)0.2
Skewness0.51830248
Sum0.9
Variance0.089199134
MonotonicityNot monotonic
2023-12-12T09:08:19.281155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.1 4
18.2%
0.0 3
13.6%
-0.3 3
13.6%
0.4 2
9.1%
0.2 2
9.1%
0.3 2
9.1%
-0.1 2
9.1%
-0.4 2
9.1%
0.8 1
 
4.5%
-0.2 1
 
4.5%
ValueCountFrequency (%)
-0.4 2
9.1%
-0.3 3
13.6%
-0.2 1
 
4.5%
-0.1 2
9.1%
0.0 3
13.6%
0.1 4
18.2%
0.2 2
9.1%
0.3 2
9.1%
0.4 2
9.1%
0.8 1
 
4.5%
ValueCountFrequency (%)
0.8 1
 
4.5%
0.4 2
9.1%
0.3 2
9.1%
0.2 2
9.1%
0.1 4
18.2%
0.0 3
13.6%
-0.1 2
9.1%
-0.2 1
 
4.5%
-0.3 3
13.6%
-0.4 2
9.1%

증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27727273
Minimum-2.4
Maximum4.9
Zeros3
Zeros (%)13.6%
Negative8
Negative (%)36.4%
Memory size330.0 B
2023-12-12T09:08:19.431264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.4
5-th percentile-2.275
Q1-1.2
median0.3
Q31.275
95-th percentile2.69
Maximum4.9
Range7.3
Interquartile range (IQR)2.475

Descriptive statistics

Standard deviation1.8278095
Coefficient of variation (CV)6.5920997
Kurtosis0.41316367
Mean0.27727273
Median Absolute Deviation (MAD)1.2
Skewness0.55818753
Sum6.1
Variance3.3408874
MonotonicityNot monotonic
2023-12-12T09:08:19.542924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 3
13.6%
0.6 3
13.6%
-1.8 2
 
9.1%
-0.6 2
 
9.1%
1.7 1
 
4.5%
-1.4 1
 
4.5%
-2.4 1
 
4.5%
-2.3 1
 
4.5%
-1.7 1
 
4.5%
1.2 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
-2.4 1
 
4.5%
-2.3 1
 
4.5%
-1.8 2
9.1%
-1.7 1
 
4.5%
-1.4 1
 
4.5%
-0.6 2
9.1%
0.0 3
13.6%
0.6 3
13.6%
0.7 1
 
4.5%
1.2 1
 
4.5%
ValueCountFrequency (%)
4.9 1
 
4.5%
2.7 1
 
4.5%
2.5 1
 
4.5%
1.9 1
 
4.5%
1.7 1
 
4.5%
1.3 1
 
4.5%
1.2 1
 
4.5%
0.7 1
 
4.5%
0.6 3
13.6%
0.0 3
13.6%

정무직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.813636
Minimum0
Maximum20.9
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:19.662779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.275
median15.65
Q318.025
95-th percentile20.29
Maximum20.9
Range20.9
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation8.3692917
Coefficient of variation (CV)0.7739572
Kurtosis-1.8240529
Mean10.813636
Median Absolute Deviation (MAD)4.95
Skewness-0.27012709
Sum237.9
Variance70.045043
MonotonicityNot monotonic
2023-12-12T09:08:19.782990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 6
27.3%
18.2 2
 
9.1%
17.1 2
 
9.1%
5.9 1
 
4.5%
5.1 1
 
4.5%
5.5 1
 
4.5%
5.3 1
 
4.5%
20.3 1
 
4.5%
20.9 1
 
4.5%
18.1 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
0.0 6
27.3%
5.1 1
 
4.5%
5.3 1
 
4.5%
5.5 1
 
4.5%
5.9 1
 
4.5%
15.0 1
 
4.5%
16.3 1
 
4.5%
17.0 1
 
4.5%
17.1 2
 
9.1%
17.8 1
 
4.5%
ValueCountFrequency (%)
20.9 1
4.5%
20.3 1
4.5%
20.1 1
4.5%
18.2 2
9.1%
18.1 1
4.5%
17.8 1
4.5%
17.1 2
9.1%
17.0 1
4.5%
16.3 1
4.5%
15.0 1
4.5%

별정직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4954545
Minimum0
Maximum13.2
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:19.909522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.325
median6.55
Q311.275
95-th percentile13.095
Maximum13.2
Range13.2
Interquartile range (IQR)9.95

Descriptive statistics

Standard deviation4.9251036
Coefficient of variation (CV)0.75823848
Kurtosis-1.1971989
Mean6.4954545
Median Absolute Deviation (MAD)6.15
Skewness-0.0094850486
Sum142.9
Variance24.256645
MonotonicityNot monotonic
2023-12-12T09:08:20.065139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
27.3%
13.0 3
13.6%
6.6 2
 
9.1%
13.1 1
 
4.5%
13.2 1
 
4.5%
12.4 1
 
4.5%
6.9 1
 
4.5%
5.3 1
 
4.5%
5.9 1
 
4.5%
6.5 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0.0 6
27.3%
5.3 1
 
4.5%
5.7 1
 
4.5%
5.9 1
 
4.5%
6.2 1
 
4.5%
6.5 1
 
4.5%
6.6 2
 
9.1%
6.9 1
 
4.5%
7.6 1
 
4.5%
7.9 1
 
4.5%
ValueCountFrequency (%)
13.2 1
 
4.5%
13.1 1
 
4.5%
13.0 3
13.6%
12.4 1
 
4.5%
7.9 1
 
4.5%
7.6 1
 
4.5%
6.9 1
 
4.5%
6.6 2
9.1%
6.5 1
 
4.5%
6.2 1
 
4.5%

일반직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.213636
Minimum0
Maximum18.2
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:20.182114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.8
median16.1
Q317.4
95-th percentile18.09
Maximum18.2
Range18.2
Interquartile range (IQR)13.6

Descriptive statistics

Standard deviation7.6981318
Coefficient of variation (CV)0.63028992
Kurtosis-0.9122177
Mean12.213636
Median Absolute Deviation (MAD)1.4
Skewness-1.0569411
Sum268.7
Variance59.261234
MonotonicityNot monotonic
2023-12-12T09:08:20.319590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 6
27.3%
15.8 2
 
9.1%
16.1 2
 
9.1%
16.6 2
 
9.1%
17.5 2
 
9.1%
16.9 1
 
4.5%
18.2 1
 
4.5%
18.1 1
 
4.5%
17.9 1
 
4.5%
17.7 1
 
4.5%
Other values (3) 3
13.6%
ValueCountFrequency (%)
0.0 6
27.3%
15.2 1
 
4.5%
15.6 1
 
4.5%
15.8 2
 
9.1%
16.1 2
 
9.1%
16.6 2
 
9.1%
16.9 1
 
4.5%
17.1 1
 
4.5%
17.5 2
 
9.1%
17.7 1
 
4.5%
ValueCountFrequency (%)
18.2 1
4.5%
18.1 1
4.5%
17.9 1
4.5%
17.7 1
4.5%
17.5 2
9.1%
17.1 1
4.5%
16.9 1
4.5%
16.6 2
9.1%
16.1 2
9.1%
15.8 2
9.1%

경찰
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.65
Minimum0
Maximum19.1
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:20.467421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.05
median17
Q317.5
95-th percentile18.675
Maximum19.1
Range19.1
Interquartile range (IQR)13.45

Descriptive statistics

Standard deviation7.9598247
Coefficient of variation (CV)0.62923516
Kurtosis-0.90322166
Mean12.65
Median Absolute Deviation (MAD)0.8
Skewness-1.0683938
Sum278.3
Variance63.35881
MonotonicityNot monotonic
2023-12-12T09:08:20.616911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 6
27.3%
17.5 3
13.6%
17.1 2
 
9.1%
17.0 2
 
9.1%
16.2 1
 
4.5%
16.3 1
 
4.5%
16.5 1
 
4.5%
16.7 1
 
4.5%
18.1 1
 
4.5%
18.7 1
 
4.5%
Other values (3) 3
13.6%
ValueCountFrequency (%)
0.0 6
27.3%
16.2 1
 
4.5%
16.3 1
 
4.5%
16.5 1
 
4.5%
16.7 1
 
4.5%
17.0 2
 
9.1%
17.1 2
 
9.1%
17.5 3
13.6%
17.8 1
 
4.5%
18.1 1
 
4.5%
ValueCountFrequency (%)
19.1 1
 
4.5%
18.7 1
 
4.5%
18.2 1
 
4.5%
18.1 1
 
4.5%
17.8 1
 
4.5%
17.5 3
13.6%
17.1 2
9.1%
17.0 2
9.1%
16.7 1
 
4.5%
16.5 1
 
4.5%

소방
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2454545
Minimum0
Maximum16
Zeros10
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:20.743581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14.1
Q315.275
95-th percentile15.895
Maximum16
Range16
Interquartile range (IQR)15.275

Descriptive statistics

Standard deviation7.7225537
Coefficient of variation (CV)0.93658314
Kurtosis-2.1508985
Mean8.2454545
Median Absolute Deviation (MAD)1.85
Skewness-0.18095195
Sum181.4
Variance59.637835
MonotonicityNot monotonic
2023-12-12T09:08:20.863379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 10
45.5%
15.8 2
 
9.1%
14.6 1
 
4.5%
15.3 1
 
4.5%
16.0 1
 
4.5%
15.9 1
 
4.5%
15.7 1
 
4.5%
15.2 1
 
4.5%
14.5 1
 
4.5%
14.4 1
 
4.5%
Other values (2) 2
 
9.1%
ValueCountFrequency (%)
0.0 10
45.5%
14.0 1
 
4.5%
14.2 1
 
4.5%
14.4 1
 
4.5%
14.5 1
 
4.5%
14.6 1
 
4.5%
15.2 1
 
4.5%
15.3 1
 
4.5%
15.7 1
 
4.5%
15.8 2
 
9.1%
ValueCountFrequency (%)
16.0 1
4.5%
15.9 1
4.5%
15.8 2
9.1%
15.7 1
4.5%
15.3 1
4.5%
15.2 1
4.5%
14.6 1
4.5%
14.5 1
4.5%
14.4 1
4.5%
14.2 1
4.5%

교육
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.345455
Minimum0
Maximum17.5
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:20.993518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.95
median16.85
Q317.375
95-th percentile17.5
Maximum17.5
Range17.5
Interquartile range (IQR)13.425

Descriptive statistics

Standard deviation7.757376
Coefficient of variation (CV)0.62835888
Kurtosis-0.89929916
Mean12.345455
Median Absolute Deviation (MAD)0.65
Skewness-1.0791903
Sum271.6
Variance60.176883
MonotonicityNot monotonic
2023-12-12T09:08:21.099108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 6
27.3%
17.3 4
18.2%
17.5 4
18.2%
15.8 2
 
9.1%
17.4 2
 
9.1%
16.0 1
 
4.5%
16.3 1
 
4.5%
16.5 1
 
4.5%
17.2 1
 
4.5%
ValueCountFrequency (%)
0.0 6
27.3%
15.8 2
 
9.1%
16.0 1
 
4.5%
16.3 1
 
4.5%
16.5 1
 
4.5%
17.2 1
 
4.5%
17.3 4
18.2%
17.4 2
 
9.1%
17.5 4
18.2%
ValueCountFrequency (%)
17.5 4
18.2%
17.4 2
 
9.1%
17.3 4
18.2%
17.2 1
 
4.5%
16.5 1
 
4.5%
16.3 1
 
4.5%
16.0 1
 
4.5%
15.8 2
 
9.1%
0.0 6
27.3%

법관검사
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7454545
Minimum0
Maximum15.5
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:21.205988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.775
median12.1
Q314.275
95-th percentile15.39
Maximum15.5
Range15.5
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.2567851
Coefficient of variation (CV)0.64202086
Kurtosis-0.995435
Mean9.7454545
Median Absolute Deviation (MAD)2.45
Skewness-0.9319105
Sum214.4
Variance39.147359
MonotonicityIncreasing
2023-12-12T09:08:21.340764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6
27.3%
11.7 2
 
9.1%
14.2 1
 
4.5%
15.5 1
 
4.5%
15.4 1
 
4.5%
15.2 1
 
4.5%
15.1 1
 
4.5%
14.8 1
 
4.5%
14.3 1
 
4.5%
13.8 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
0.0 6
27.3%
11.1 1
 
4.5%
11.3 1
 
4.5%
11.4 1
 
4.5%
11.7 2
 
9.1%
12.5 1
 
4.5%
13.0 1
 
4.5%
13.4 1
 
4.5%
13.8 1
 
4.5%
14.2 1
 
4.5%
ValueCountFrequency (%)
15.5 1
4.5%
15.4 1
4.5%
15.2 1
4.5%
15.1 1
4.5%
14.8 1
4.5%
14.3 1
4.5%
14.2 1
4.5%
13.8 1
4.5%
13.4 1
4.5%
13.0 1
4.5%

기능직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.472727
Minimum0
Maximum20.1
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:21.456369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.95
median18.35
Q319.3
95-th percentile19.69
Maximum20.1
Range20.1
Interquartile range (IQR)15.35

Descriptive statistics

Standard deviation8.5121304
Coefficient of variation (CV)0.63180455
Kurtosis-0.9290944
Mean13.472727
Median Absolute Deviation (MAD)1.25
Skewness-1.0422986
Sum296.4
Variance72.456364
MonotonicityNot monotonic
2023-12-12T09:08:21.564815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
27.3%
18.9 2
 
9.1%
19.3 2
 
9.1%
19.5 2
 
9.1%
15.8 1
 
4.5%
16.2 1
 
4.5%
17.0 1
 
4.5%
17.6 1
 
4.5%
18.4 1
 
4.5%
19.7 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0.0 6
27.3%
15.8 1
 
4.5%
16.2 1
 
4.5%
17.0 1
 
4.5%
17.6 1
 
4.5%
18.3 1
 
4.5%
18.4 1
 
4.5%
18.5 1
 
4.5%
18.9 2
 
9.1%
19.3 2
 
9.1%
ValueCountFrequency (%)
20.1 1
4.5%
19.7 1
4.5%
19.5 2
9.1%
19.4 1
4.5%
19.3 2
9.1%
18.9 2
9.1%
18.5 1
4.5%
18.4 1
4.5%
18.3 1
4.5%
17.6 1
4.5%

공안직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.145455
Minimum0
Maximum16
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:21.678101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.55
median15.15
Q315.5
95-th percentile15.9
Maximum16
Range16
Interquartile range (IQR)11.95

Descriptive statistics

Standard deviation7.0002536
Coefficient of variation (CV)0.62808148
Kurtosis-0.89669647
Mean11.145455
Median Absolute Deviation (MAD)0.7
Skewness-1.082163
Sum245.2
Variance49.00355
MonotonicityNot monotonic
2023-12-12T09:08:21.803508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 6
27.3%
15.5 3
13.6%
15.9 3
13.6%
15.4 2
 
9.1%
14.2 1
 
4.5%
14.5 1
 
4.5%
14.7 1
 
4.5%
14.9 1
 
4.5%
15.0 1
 
4.5%
16.0 1
 
4.5%
Other values (2) 2
 
9.1%
ValueCountFrequency (%)
0.0 6
27.3%
14.2 1
 
4.5%
14.5 1
 
4.5%
14.7 1
 
4.5%
14.9 1
 
4.5%
15.0 1
 
4.5%
15.3 1
 
4.5%
15.4 2
 
9.1%
15.5 3
13.6%
15.6 1
 
4.5%
ValueCountFrequency (%)
16.0 1
 
4.5%
15.9 3
13.6%
15.6 1
 
4.5%
15.5 3
13.6%
15.4 2
9.1%
15.3 1
 
4.5%
15.0 1
 
4.5%
14.9 1
 
4.5%
14.7 1
 
4.5%
14.5 1
 
4.5%

군무원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.359091
Minimum0
Maximum18.6
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:21.931955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.325
median17.2
Q317.675
95-th percentile18.485
Maximum18.6
Range18.6
Interquartile range (IQR)14.35

Descriptive statistics

Standard deviation7.8630334
Coefficient of variation (CV)0.63621455
Kurtosis-0.97558016
Mean12.359091
Median Absolute Deviation (MAD)1.15
Skewness-1.0007463
Sum271.9
Variance61.827294
MonotonicityNot monotonic
2023-12-12T09:08:22.039925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
27.3%
17.3 3
13.6%
17.6 2
 
9.1%
17.1 1
 
4.5%
18.2 1
 
4.5%
18.6 1
 
4.5%
18.5 1
 
4.5%
17.9 1
 
4.5%
17.7 1
 
4.5%
18.0 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0.0 6
27.3%
13.3 1
 
4.5%
13.5 1
 
4.5%
15.4 1
 
4.5%
16.6 1
 
4.5%
17.1 1
 
4.5%
17.3 3
13.6%
17.6 2
 
9.1%
17.7 1
 
4.5%
17.9 1
 
4.5%
ValueCountFrequency (%)
18.6 1
 
4.5%
18.5 1
 
4.5%
18.2 1
 
4.5%
18.0 1
 
4.5%
17.9 1
 
4.5%
17.7 1
 
4.5%
17.6 2
9.1%
17.3 3
13.6%
17.1 1
 
4.5%
16.6 1
 
4.5%

연구직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.554545
Minimum0
Maximum15.4
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:22.141452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.375
median14.1
Q314.875
95-th percentile15.295
Maximum15.4
Range15.4
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.6362444
Coefficient of variation (CV)0.62875701
Kurtosis-0.90118163
Mean10.554545
Median Absolute Deviation (MAD)0.85
Skewness-1.0742929
Sum232.2
Variance44.03974
MonotonicityNot monotonic
2023-12-12T09:08:22.267745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
27.3%
14.0 2
 
9.1%
14.2 2
 
9.1%
15.2 2
 
9.1%
13.5 1
 
4.5%
13.6 1
 
4.5%
14.4 1
 
4.5%
15.0 1
 
4.5%
15.4 1
 
4.5%
15.3 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0.0 6
27.3%
13.5 1
 
4.5%
13.6 1
 
4.5%
13.9 1
 
4.5%
14.0 2
 
9.1%
14.2 2
 
9.1%
14.4 1
 
4.5%
14.6 1
 
4.5%
14.8 1
 
4.5%
14.9 1
 
4.5%
ValueCountFrequency (%)
15.4 1
4.5%
15.3 1
4.5%
15.2 2
9.1%
15.0 1
4.5%
14.9 1
4.5%
14.8 1
4.5%
14.6 1
4.5%
14.4 1
4.5%
14.2 2
9.1%
14.0 2
9.1%

지도직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.809091
Minimum0
Maximum21.6
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:22.414511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.725
median18.45
Q320.25
95-th percentile21.475
Maximum21.6
Range21.6
Interquartile range (IQR)16.525

Descriptive statistics

Standard deviation8.855932
Coefficient of variation (CV)0.64131173
Kurtosis-1.0077176
Mean13.809091
Median Absolute Deviation (MAD)2.65
Skewness-0.94598088
Sum303.8
Variance78.427532
MonotonicityNot monotonic
2023-12-12T09:08:22.561678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6
27.3%
19.5 2
 
9.1%
19.7 1
 
4.5%
14.9 1
 
4.5%
15.3 1
 
4.5%
15.7 1
 
4.5%
16.7 1
 
4.5%
18.0 1
 
4.5%
18.9 1
 
4.5%
20.4 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
0.0 6
27.3%
14.9 1
 
4.5%
15.3 1
 
4.5%
15.7 1
 
4.5%
16.7 1
 
4.5%
18.0 1
 
4.5%
18.9 1
 
4.5%
19.5 2
 
9.1%
19.7 1
 
4.5%
19.8 1
 
4.5%
ValueCountFrequency (%)
21.6 1
4.5%
21.5 1
4.5%
21.0 1
4.5%
20.8 1
4.5%
20.5 1
4.5%
20.4 1
4.5%
19.8 1
4.5%
19.7 1
4.5%
19.5 2
9.1%
18.9 1
4.5%

계약직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6545455
Minimum0
Maximum7.1
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:22.665203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.35
median6.25
Q36.6
95-th percentile6.895
Maximum7.1
Range7.1
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation2.94242
Coefficient of variation (CV)0.63216055
Kurtosis-0.92995121
Mean4.6545455
Median Absolute Deviation (MAD)0.5
Skewness-1.0377932
Sum102.4
Variance8.6578355
MonotonicityNot monotonic
2023-12-12T09:08:22.795166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 6
27.3%
6.0 2
 
9.1%
6.5 2
 
9.1%
6.6 2
 
9.1%
6.7 2
 
9.1%
6.4 2
 
9.1%
5.4 1
 
4.5%
5.7 1
 
4.5%
6.1 1
 
4.5%
6.9 1
 
4.5%
Other values (2) 2
 
9.1%
ValueCountFrequency (%)
0.0 6
27.3%
5.4 1
 
4.5%
5.7 1
 
4.5%
6.0 2
 
9.1%
6.1 1
 
4.5%
6.4 2
 
9.1%
6.5 2
 
9.1%
6.6 2
 
9.1%
6.7 2
 
9.1%
6.8 1
 
4.5%
ValueCountFrequency (%)
7.1 1
4.5%
6.9 1
4.5%
6.8 1
4.5%
6.7 2
9.1%
6.6 2
9.1%
6.5 2
9.1%
6.4 2
9.1%
6.1 1
4.5%
6.0 2
9.1%
5.7 1
4.5%

공중보건의
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3454545
Minimum0
Maximum2.4
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:22.911575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median1.65
Q31.9
95-th percentile2.395
Maximum2.4
Range2.4
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation0.90854529
Coefficient of variation (CV)0.67527015
Kurtosis-1.1742831
Mean1.3454545
Median Absolute Deviation (MAD)0.5
Skewness-0.63096806
Sum29.6
Variance0.82545455
MonotonicityNot monotonic
2023-12-12T09:08:23.028621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 6
27.3%
1.9 4
18.2%
1.4 2
 
9.1%
1.8 2
 
9.1%
2.3 2
 
9.1%
2.4 2
 
9.1%
1.5 1
 
4.5%
1.3 1
 
4.5%
1.2 1
 
4.5%
2.2 1
 
4.5%
ValueCountFrequency (%)
0.0 6
27.3%
1.2 1
 
4.5%
1.3 1
 
4.5%
1.4 2
 
9.1%
1.5 1
 
4.5%
1.8 2
 
9.1%
1.9 4
18.2%
2.2 1
 
4.5%
2.3 2
 
9.1%
2.4 2
 
9.1%
ValueCountFrequency (%)
2.4 2
 
9.1%
2.3 2
 
9.1%
2.2 1
 
4.5%
1.9 4
18.2%
1.8 2
 
9.1%
1.5 1
 
4.5%
1.4 2
 
9.1%
1.3 1
 
4.5%
1.2 1
 
4.5%
0.0 6
27.3%

기타
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.331818
Minimum0
Maximum17.1
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:08:23.147520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.85
median13.25
Q314.425
95-th percentile16.7
Maximum17.1
Range17.1
Interquartile range (IQR)11.575

Descriptive statistics

Standard deviation6.6846937
Coefficient of variation (CV)0.64700071
Kurtosis-1.0159705
Mean10.331818
Median Absolute Deviation (MAD)2.45
Skewness-0.87838905
Sum227.3
Variance44.68513
MonotonicityNot monotonic
2023-12-12T09:08:23.280195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
27.3%
14.1 2
 
9.1%
16.7 2
 
9.1%
11.4 2
 
9.1%
14.2 1
 
4.5%
14.5 1
 
4.5%
13.5 1
 
4.5%
13.9 1
 
4.5%
17.1 1
 
4.5%
16.3 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0.0 6
27.3%
11.4 2
 
9.1%
11.8 1
 
4.5%
12.2 1
 
4.5%
13.0 1
 
4.5%
13.5 1
 
4.5%
13.9 1
 
4.5%
14.1 2
 
9.1%
14.2 1
 
4.5%
14.5 1
 
4.5%
ValueCountFrequency (%)
17.1 1
4.5%
16.7 2
9.1%
16.4 1
4.5%
16.3 1
4.5%
14.5 1
4.5%
14.2 1
4.5%
14.1 2
9.1%
13.9 1
4.5%
13.5 1
4.5%
13.0 1
4.5%

Interactions

2023-12-12T09:08:16.254387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:36.474168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:38.654875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:41.066691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-12T09:07:45.411204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-12T09:08:04.434715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:06.710953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:08.884066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:10.875399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:13.398871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:15.424113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.268801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:37.745935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.205706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:42.394285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:44.528509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:46.581255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:48.764975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:50.753672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:53.288273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:55.329002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:57.455279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:59.907669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:02.365599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:04.553414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:06.829921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.013622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:11.032813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:13.526328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:15.523430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.369658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:37.857970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.308603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:42.514132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:44.654424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:46.946485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:48.907116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:50.870857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:53.381841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:55.421466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:57.586035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:00.051397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:02.486620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:04.689159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:06.954256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.137912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:11.134313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:13.670202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:15.625546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.467630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:37.989247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.429527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:42.634773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:44.778534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:47.056893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:49.008513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:50.993517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:53.474858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:55.515848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:57.697973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:00.176265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:02.621478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:04.789691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:07.070383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.253861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:11.247193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:13.787318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:15.740058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.573924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:38.085111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.536367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:42.759636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:44.874281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:47.153046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:49.099931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:51.108544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:53.577563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:55.622912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:57.801679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:00.270656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:02.744627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:04.900615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:07.175983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.372844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:11.346381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:13.898158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:15.847071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.663766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:38.202845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.638184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:42.892474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:44.987929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:47.239914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:49.204650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:51.257663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:53.690325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:55.751129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:57.937988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:00.391506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:02.868726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:04.998618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:07.292820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.485048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:11.433283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:14.024458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:15.932858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.754496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:38.330425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.724410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:42.983196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:45.072656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:47.330697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:49.296553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:51.354916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:53.794858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:55.851609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:58.043318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:00.498433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:02.971188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:05.098395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:07.407509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.593623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:11.510082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:14.111581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:16.005678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.868827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:38.429425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.834293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:43.086477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:45.184568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:47.427066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:49.391444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:51.499709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:53.893875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:55.981436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:58.163483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:00.626036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:03.091204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:05.193532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:07.544080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.696290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:11.590518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:14.226607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:16.102229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:17.952903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:38.531745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:40.954277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:43.187173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:45.292881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:47.515318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:49.493134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:51.593508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:54.013815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:56.090353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:58.264514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:00.739459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:03.218041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:05.294544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:07.634588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:09.798189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:12.011357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:14.332862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:16.174640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:08:23.392139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도전체평균재직연수증감평균재직연수증감률(퍼센트)정무직별정직일반직경찰소방교육법관검사기능직공안직군무원연구직지도직계약직공중보건의기타
연도1.0000.6500.6560.5110.8270.8050.9360.8690.8370.9800.9850.8680.7990.7810.7830.8220.9130.9900.988
전체평균재직연수0.6501.0000.0000.0000.7230.6201.0001.0000.8821.0000.6760.6330.8820.7730.9530.6500.5270.6900.742
증감평균재직연수0.6560.0001.0000.9990.5930.7640.2870.3710.7370.1870.6700.0950.0000.6330.5540.7120.5610.5660.604
증감률(퍼센트)0.5110.0000.9991.0000.5660.7750.0000.0000.6940.0000.4510.0000.0000.5990.3360.7030.3510.4820.614
정무직0.8270.7230.5930.5661.0000.8420.7500.7950.7191.0000.7940.8080.7240.6660.7900.9340.7730.9410.934
별정직0.8050.6200.7640.7750.8421.0000.6530.6860.5351.0000.9640.9370.6680.9210.7090.7650.9570.7690.782
일반직0.9361.0000.2870.0000.7500.6531.0000.9910.9111.0000.7040.7040.9460.7180.9630.7430.6810.7860.857
경찰0.8691.0000.3710.0000.7950.6860.9911.0000.9071.0000.7480.7370.9390.7370.9500.7820.6890.8390.845
소방0.8370.8820.7370.6940.7190.5350.9110.9071.0000.3990.6220.6290.7930.7750.8460.6980.5770.7010.793
교육0.9801.0000.1870.0001.0001.0001.0001.0000.3991.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
법관검사0.9850.6760.6700.4510.7940.9640.7040.7480.6221.0001.0000.9550.6800.9200.7320.7590.9750.8900.796
기능직0.8680.6330.0950.0000.8080.9370.7040.7370.6291.0000.9551.0001.0000.8610.8170.5890.9980.9220.750
공안직0.7990.8820.0000.0000.7240.6680.9460.9390.7931.0000.6801.0001.0000.6370.9830.6701.0001.0000.707
군무원0.7810.7730.6330.5990.6660.9210.7180.7370.7751.0000.9200.8610.6371.0000.6460.8670.8700.7500.797
연구직0.7830.9530.5540.3360.7900.7090.9630.9500.8461.0000.7320.8170.9830.6461.0000.6860.8040.8280.758
지도직0.8220.6500.7120.7030.9340.7650.7430.7820.6981.0000.7590.5890.6700.8670.6861.0000.6160.9150.927
계약직0.9130.5270.5610.3510.7730.9570.6810.6890.5771.0000.9750.9981.0000.8700.8040.6161.0001.0000.717
공중보건의0.9900.6900.5660.4820.9410.7690.7860.8390.7011.0000.8900.9221.0000.7500.8280.9151.0001.0000.964
기타0.9880.7420.6040.6140.9340.7820.8570.8450.7931.0000.7960.7500.7070.7970.7580.9270.7170.9641.000
2023-12-12T09:08:23.565660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도전체평균재직연수증감평균재직연수증감률(퍼센트)정무직별정직일반직경찰소방교육법관검사기능직공안직군무원연구직지도직계약직공중보건의기타
연도1.0000.603-0.632-0.6530.7090.3480.5690.6760.6700.9170.9900.8470.7920.4770.6640.3500.8650.9400.425
전체평균재직연수0.6031.000-0.111-0.1250.8600.4860.9740.9640.8790.7190.5880.7650.8810.9370.9730.8870.7640.5700.835
증감평균재직연수-0.632-0.1111.0000.996-0.2450.227-0.147-0.186-0.395-0.548-0.634-0.294-0.417-0.071-0.2430.192-0.507-0.6330.018
증감률(퍼센트)-0.653-0.1250.9961.000-0.2680.183-0.159-0.201-0.396-0.571-0.655-0.327-0.434-0.083-0.2550.172-0.518-0.6600.005
정무직0.7090.860-0.245-0.2681.0000.5290.8200.9190.8400.7720.7090.8130.8620.7690.8600.7390.7260.6910.609
별정직0.3480.4860.2270.1830.5291.0000.4560.4560.1430.4050.3500.4510.3510.5230.4020.6870.3150.3680.548
일반직0.5690.974-0.147-0.1590.8200.4561.0000.9380.8810.7070.5740.7230.8870.9590.9850.8840.7810.5600.895
경찰0.6760.964-0.186-0.2010.9190.4560.9381.0000.9210.7800.6780.8380.9000.9060.9600.8310.7950.6630.749
소방0.6700.879-0.395-0.3960.8400.1430.8810.9211.0000.7470.6710.7610.9170.8000.9250.6280.8290.6340.657
교육0.9170.719-0.548-0.5710.7720.4050.7070.7800.7471.0000.9260.8720.8240.6260.7800.4670.8620.8860.529
법관검사0.9900.588-0.634-0.6550.7090.3500.5740.6780.6710.9261.0000.8540.8000.4810.6700.3530.8740.9510.433
기능직0.8470.765-0.294-0.3270.8130.4510.7230.8380.7610.8720.8541.0000.8520.6630.7960.5870.8520.8500.598
공안직0.7920.881-0.417-0.4340.8620.3510.8870.9000.9170.8240.8000.8521.0000.7960.9350.6920.8860.7780.735
군무원0.4770.937-0.071-0.0830.7690.5230.9590.9060.8000.6260.4810.6630.7961.0000.9220.9160.7180.5180.881
연구직0.6640.973-0.243-0.2550.8600.4020.9850.9600.9250.7800.6700.7960.9350.9221.0000.8320.8370.6520.840
지도직0.3500.8870.1920.1720.7390.6870.8840.8310.6280.4670.3530.5870.6920.9160.8321.0000.5370.3770.878
계약직0.8650.764-0.507-0.5180.7260.3150.7810.7950.8290.8620.8740.8520.8860.7180.8370.5371.0000.8290.680
공중보건의0.9400.570-0.633-0.6600.6910.3680.5600.6630.6340.8860.9510.8500.7780.5180.6520.3770.8291.0000.418
기타0.4250.8350.0180.0050.6090.5480.8950.7490.6570.5290.4330.5980.7350.8810.8400.8780.6800.4181.000

Missing values

2023-12-12T09:08:18.334094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:08:18.571591image/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

연도전체평균재직연수증감평균재직연수증감률(퍼센트)정무직별정직일반직경찰소방교육법관검사기능직공안직군무원연구직지도직계약직공중보건의기타
0200114.70.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
1200215.10.42.70.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
2200315.30.21.30.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
3200415.30.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
4200515.40.10.70.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
5200615.50.10.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
6200715.60.10.65.913.015.816.20.015.811.115.814.217.313.519.55.41.514.1
7200815.70.10.65.113.115.816.30.015.811.316.214.517.313.619.55.71.414.1
8200916.00.31.95.513.016.116.50.016.011.417.014.717.114.019.86.01.414.2
9201016.40.42.55.313.016.616.70.016.311.717.614.917.314.220.56.11.314.5
연도전체평균재직연수증감평균재직연수증감률(퍼센트)정무직별정직일반직경찰소방교육법관검사기능직공안직군무원연구직지도직계약직공중보건의기타
12201317.70.31.718.16.918.219.115.817.413.020.115.918.615.421.66.51.917.1
13201417.4-0.3-1.718.25.318.118.216.017.313.418.315.918.515.321.06.61.816.7
14201517.3-0.1-0.617.15.917.917.815.917.213.818.916.017.915.220.46.71.916.3
15201617.2-0.1-0.620.16.517.717.515.817.314.219.315.917.715.219.76.91.916.4
16201717.20.00.017.06.617.517.515.717.514.319.515.517.614.918.97.11.816.7
17201816.8-0.4-2.316.36.217.117.515.217.514.818.515.418.014.818.06.82.313.0
18201916.4-0.4-2.417.86.616.617.114.517.515.118.915.416.614.616.76.42.312.2
19202016.1-0.3-1.818.27.616.117.114.417.515.219.315.615.414.215.76.42.211.4
20202115.8-0.3-1.817.17.915.617.014.217.415.419.415.513.514.015.36.72.411.4
21202215.6-0.2-1.415.05.715.217.014.017.315.519.515.313.313.914.96.62.411.8