Overview

Dataset statistics

Number of variables5
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory48.2 B

Variable types

Numeric5

Dataset

Description연도별 공무원연금 선택(일시금, 연금, 연금선택률) 추이 데이터입니다. 1982년부터 2022년까지 연도별로 구분되어 있습니다.
URLhttps://www.data.go.kr/data/15052978/fileData.do

Alerts

구분 is highly overall correlated with 연금선택가능 퇴직인원 and 3 other fieldsHigh correlation
연금선택가능 퇴직인원 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
퇴직 및 유족급여(일시금선택) is highly overall correlated with 구분 and 1 other fieldsHigh correlation
퇴직 및 유족급여(연금선택) is highly overall correlated with 구분 and 2 other fieldsHigh correlation
연금선택률(퍼센트) is highly overall correlated with 구분 and 3 other fieldsHigh correlation
구분 has unique valuesUnique
연금선택가능 퇴직인원 has unique valuesUnique
퇴직 및 유족급여(일시금선택) has unique valuesUnique
퇴직 및 유족급여(연금선택) has unique valuesUnique
연금선택률(퍼센트) has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:21:06.728423
Analysis finished2023-12-12 18:21:10.020589
Duration3.29 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
2023-12-13T03:21:10.372079image/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
2023-12-13T03:21:10.500781image/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%

연금선택가능 퇴직인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19761.512
Minimum5106
Maximum59612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T03:21:10.633987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5106
5-th percentile5936
Q19576
median16822
Q330604
95-th percentile35984
Maximum59612
Range54506
Interquartile range (IQR)21028

Descriptive statistics

Standard deviation11953.144
Coefficient of variation (CV)0.60486988
Kurtosis1.3896511
Mean19761.512
Median Absolute Deviation (MAD)8569
Skewness1.0206589
Sum810222
Variance1.4287764 × 108
MonotonicityNot monotonic
2023-12-13T03:21:10.753021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5106 1
 
2.4%
19927 1
 
2.4%
23831 1
 
2.4%
19805 1
 
2.4%
20828 1
 
2.4%
25941 1
 
2.4%
15098 1
 
2.4%
19967 1
 
2.4%
16505 1
 
2.4%
22888 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
5106 1
2.4%
5491 1
2.4%
5936 1
2.4%
6036 1
2.4%
6199 1
2.4%
7331 1
2.4%
7966 1
2.4%
8253 1
2.4%
8427 1
2.4%
8789 1
2.4%
ValueCountFrequency (%)
59612 1
2.4%
38661 1
2.4%
35984 1
2.4%
35419 1
2.4%
34541 1
2.4%
32147 1
2.4%
31719 1
2.4%
31675 1
2.4%
30889 1
2.4%
30646 1
2.4%

퇴직 및 유족급여(일시금선택)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4023.561
Minimum1260
Maximum19845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T03:21:10.860652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1260
5-th percentile1276
Q11570
median2736
Q34446
95-th percentile8911
Maximum19845
Range18585
Interquartile range (IQR)2876

Descriptive statistics

Standard deviation4030.2055
Coefficient of variation (CV)1.0016514
Kurtosis9.2171429
Mean4023.561
Median Absolute Deviation (MAD)1391
Skewness2.8742503
Sum164966
Variance16242556
MonotonicityNot monotonic
2023-12-13T03:21:10.979869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3440 1
 
2.4%
1270 1
 
2.4%
1276 1
 
2.4%
1421 1
 
2.4%
1363 1
 
2.4%
1588 1
 
2.4%
1282 1
 
2.4%
1321 1
 
2.4%
1260 1
 
2.4%
1442 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1260 1
2.4%
1270 1
2.4%
1276 1
2.4%
1282 1
2.4%
1321 1
2.4%
1363 1
2.4%
1378 1
2.4%
1401 1
2.4%
1421 1
2.4%
1442 1
2.4%
ValueCountFrequency (%)
19845 1
2.4%
18893 1
2.4%
8911 1
2.4%
7530 1
2.4%
7003 1
2.4%
6015 1
2.4%
5953 1
2.4%
5561 1
2.4%
5097 1
2.4%
4955 1
2.4%

퇴직 및 유족급여(연금선택)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15737.951
Minimum1600
Maximum39767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T03:21:11.109404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1600
5-th percentile1809
Q14621
median13929
Q324353
95-th percentile33734
Maximum39767
Range38167
Interquartile range (IQR)19732

Descriptive statistics

Standard deviation11375.172
Coefficient of variation (CV)0.72278606
Kurtosis-1.0808709
Mean15737.951
Median Absolute Deviation (MAD)9586
Skewness0.40373715
Sum645256
Variance1.2939453 × 108
MonotonicityNot monotonic
2023-12-13T03:21:11.227631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1666 1
 
2.4%
18657 1
 
2.4%
22555 1
 
2.4%
18384 1
 
2.4%
19465 1
 
2.4%
24353 1
 
2.4%
13816 1
 
2.4%
18646 1
 
2.4%
15245 1
 
2.4%
21446 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1600 1
2.4%
1666 1
2.4%
1809 1
2.4%
1832 1
2.4%
1875 1
2.4%
3021 1
2.4%
3156 1
2.4%
3871 1
2.4%
4203 1
2.4%
4343 1
2.4%
ValueCountFrequency (%)
39767 1
2.4%
35777 1
2.4%
33734 1
2.4%
32971 1
2.4%
30746 1
2.4%
29957 1
2.4%
29519 1
2.4%
28581 1
2.4%
28568 1
2.4%
28556 1
2.4%

연금선택률(퍼센트)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.977389
Minimum29.13859
Maximum95.641895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T03:21:11.348285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.13859
5-th percentile30.351226
Q148.594025
median83.950969
Q393.308064
95-th percentile94.64563
Maximum95.641895
Range66.503305
Interquartile range (IQR)44.71404

Descriptive statistics

Standard deviation24.749558
Coefficient of variation (CV)0.34869637
Kurtosis-1.5189753
Mean70.977389
Median Absolute Deviation (MAD)10.69466
Skewness-0.44571053
Sum2910.0729
Variance612.54062
MonotonicityNot monotonic
2023-12-13T03:21:11.463220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
32.62828045 1
 
2.4%
93.62673759 1
 
2.4%
94.64562964 1
 
2.4%
92.82504418 1
 
2.4%
93.45592472 1
 
2.4%
93.87841641 1
 
2.4%
91.50880911 1
 
2.4%
93.38408374 1
 
2.4%
92.36594971 1
 
2.4%
93.69975533 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
29.13859042 1
2.4%
30.246814 1
2.4%
30.35122598 1
2.4%
30.47506739 1
2.4%
32.62828045 1
2.4%
38.24063977 1
2.4%
41.20856636 1
2.4%
46.65857308 1
2.4%
48.25605681 1
2.4%
48.42574372 1
2.4%
ValueCountFrequency (%)
95.64189504 1
2.4%
95.45467705 1
2.4%
94.64562964 1
2.4%
94.57616417 1
2.4%
93.87841641 1
2.4%
93.74722099 1
2.4%
93.69975533 1
2.4%
93.62673759 1
2.4%
93.45592472 1
2.4%
93.38408374 1
2.4%

Interactions

2023-12-13T03:21:09.338184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:06.920566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.543730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.130611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.724895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:09.438480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.073181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.688537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.259944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.844470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:09.543511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.189083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.795094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.368254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.958545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:09.636208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.328667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.913593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.488991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:09.082872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:09.754354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:07.434590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.039153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:08.616998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:21:09.200605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:21:11.552582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분연금선택가능 퇴직인원퇴직 및 유족급여(일시금선택)퇴직 및 유족급여(연금선택)연금선택률(퍼센트)
구분1.0000.6710.7360.7140.822
연금선택가능 퇴직인원0.6711.0000.6710.9170.800
퇴직 및 유족급여(일시금선택)0.7360.6711.0000.7910.787
퇴직 및 유족급여(연금선택)0.7140.9170.7911.0000.742
연금선택률(퍼센트)0.8220.8000.7870.7421.000
2023-12-13T03:21:11.657192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분연금선택가능 퇴직인원퇴직 및 유족급여(일시금선택)퇴직 및 유족급여(연금선택)연금선택률(퍼센트)
구분1.0000.843-0.5950.9060.894
연금선택가능 퇴직인원0.8431.000-0.2330.9670.755
퇴직 및 유족급여(일시금선택)-0.595-0.2331.000-0.392-0.714
퇴직 및 유족급여(연금선택)0.9060.967-0.3921.0000.856
연금선택률(퍼센트)0.8940.755-0.7140.8561.000

Missing values

2023-12-13T03:21:09.885239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:21:09.981029image/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

구분연금선택가능 퇴직인원퇴직 및 유족급여(일시금선택)퇴직 및 유족급여(연금선택)연금선택률(퍼센트)
0198251063440166632.62828
1198361994324187530.246814
2198454913891160029.13859
3198559364127180930.475067
4198660364204183230.351226
5198779664095387148.594025
6198882535097315638.24064
7198973314310302141.208566
8199084274224420349.8754
9199187894446434349.41404
구분연금선택가능 퇴직인원퇴직 및 유족급여(일시금선택)퇴직 및 유족급여(연금선택)연금선택률(퍼센트)
3120131992712701865793.626738
3220143454115703297195.454677
3320153214714013074695.641895
3420163088923212856892.485998
3520173064620652858193.261763
3620183060420482855693.308064
3720193167517182995794.576164
3820203598422503373493.747221
3920213171922002951993.064094
4020223866128843577792.5