Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory51.0 B

Variable types

Numeric5

Dataset

Description공무원연금 가입자수, 신규가입자수, 증감인원, 증감률에 대한 데이터입니다. 2001년부터 시작되며 2022년까지 연 단위로 구분됩니다.
URLhttps://www.data.go.kr/data/15052943/fileData.do

Alerts

연도 is highly overall correlated with 가입자수 and 1 other fieldsHigh correlation
가입자수 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
신규가입자수 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
증감인원 is highly overall correlated with 증감률(퍼센트)High correlation
증감률(퍼센트) is highly overall correlated with 증감인원High correlation
연도 has unique valuesUnique
가입자수 has unique valuesUnique
신규가입자수 has unique valuesUnique
증감인원 has unique valuesUnique
증감률(퍼센트) has unique valuesUnique
증감인원 has 1 (4.5%) zerosZeros
증감률(퍼센트) has 1 (4.5%) zerosZeros

Reproduction

Analysis started2023-12-12 02:46:23.751054
Analysis finished2023-12-12 02:46:26.682019
Duration2.93 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
2023-12-12T11:46:27.078855image/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
2023-12-12T11:46:27.231366image/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%

가입자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1073685.5
Minimum913192
Maximum1280994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T11:46:27.391088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum913192
5-th percentile931674.05
Q11012301.5
median1061215
Q31117336.5
95-th percentile1259416.1
Maximum1280994
Range367802
Interquartile range (IQR)105035

Descriptive statistics

Standard deviation101858.71
Coefficient of variation (CV)0.094868298
Kurtosis-0.29726238
Mean1073685.5
Median Absolute Deviation (MAD)55656.5
Skewness0.4856772
Sum23621080
Variance1.0375197 × 1010
MonotonicityStrictly increasing
2023-12-12T11:46:27.567061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
913192 1
 
4.5%
1072610 1
 
4.5%
1280994 1
 
4.5%
1261421 1
 
4.5%
1221322 1
 
4.5%
1195051 1
 
4.5%
1160586 1
 
4.5%
1120458 1
 
4.5%
1107972 1
 
4.5%
1093038 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
913192 1
4.5%
930835 1
4.5%
947616 1
4.5%
964593 1
4.5%
986339 1
4.5%
1009145 1
4.5%
1021771 1
4.5%
1030256 1
4.5%
1047897 1
4.5%
1052407 1
4.5%
ValueCountFrequency (%)
1280994 1
4.5%
1261421 1
4.5%
1221322 1
4.5%
1195051 1
4.5%
1160586 1
4.5%
1120458 1
4.5%
1107972 1
4.5%
1093038 1
4.5%
1081147 1
4.5%
1072610 1
4.5%

신규가입자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48324.636
Minimum30127
Maximum79267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T11:46:27.741667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30127
5-th percentile30399.35
Q136530.5
median42619.5
Q352367.75
95-th percentile75484.7
Maximum79267
Range49140
Interquartile range (IQR)15837.25

Descriptive statistics

Standard deviation16009.737
Coefficient of variation (CV)0.33129555
Kurtosis-0.64522836
Mean48324.636
Median Absolute Deviation (MAD)8912.5
Skewness0.7980584
Sum1063142
Variance2.5631168 × 108
MonotonicityNot monotonic
2023-12-12T11:46:27.887424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30374 1
 
4.5%
35726 1
 
4.5%
71044 1
 
4.5%
79267 1
 
4.5%
70096 1
 
4.5%
75498 1
 
4.5%
75232 1
 
4.5%
46717 1
 
4.5%
51125 1
 
4.5%
51590 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
30127 1
4.5%
30374 1
4.5%
30881 1
4.5%
31672 1
4.5%
35519 1
4.5%
35726 1
4.5%
38944 1
4.5%
38969 1
4.5%
39575 1
4.5%
41446 1
4.5%
ValueCountFrequency (%)
79267 1
4.5%
75498 1
4.5%
75232 1
4.5%
71044 1
4.5%
70096 1
4.5%
52627 1
4.5%
51590 1
4.5%
51474 1
4.5%
51125 1
4.5%
46717 1
4.5%

증감인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1848.6364
Minimum-20955
Maximum28515
Zeros1
Zeros (%)4.5%
Negative9
Negative (%)40.9%
Memory size330.0 B
2023-12-12T11:46:28.011342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-20955
5-th percentile-8081.95
Q1-4093.5
median191
Q38588.5
95-th percentile15519.65
Maximum28515
Range49470
Interquartile range (IQR)12682

Descriptive statistics

Standard deviation9952.4481
Coefficient of variation (CV)5.38367
Kurtosis2.0351356
Mean1848.6364
Median Absolute Deviation (MAD)5091
Skewness0.51263064
Sum40670
Variance99051222
MonotonicityNot monotonic
2023-12-12T11:46:28.121142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 1
 
4.5%
-3218 1
 
4.5%
-8223 1
 
4.5%
9171 1
 
4.5%
-5402 1
 
4.5%
266 1
 
4.5%
28515 1
 
4.5%
-4408 1
 
4.5%
-465 1
 
4.5%
116 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
-20955 1
4.5%
-8223 1
4.5%
-5402 1
4.5%
-5392 1
4.5%
-4408 1
4.5%
-4308 1
4.5%
-3450 1
4.5%
-3218 1
4.5%
-465 1
4.5%
0 1
4.5%
ValueCountFrequency (%)
28515 1
4.5%
15748 1
4.5%
11181 1
4.5%
10565 1
4.5%
9171 1
4.5%
8817 1
4.5%
7903 1
4.5%
2387 1
4.5%
1315 1
4.5%
507 1
4.5%

증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1727273
Minimum-39.8
Maximum61
Zeros1
Zeros (%)4.5%
Negative9
Negative (%)40.9%
Memory size330.0 B
2023-12-12T11:46:28.232373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-39.8
5-th percentile-14.96
Q1-8.525
median0.3
Q322.025
95-th percentile43.605
Maximum61
Range100.8
Interquartile range (IQR)30.55

Descriptive statistics

Standard deviation22.60209
Coefficient of variation (CV)3.6616051
Kurtosis0.72811539
Mean6.1727273
Median Absolute Deviation (MAD)9.75
Skewness0.63922466
Sum135.8
Variance510.85446
MonotonicityNot monotonic
2023-12-12T11:46:28.363529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 1
 
4.5%
-8.3 1
 
4.5%
-10.4 1
 
4.5%
13.1 1
 
4.5%
-7.2 1
 
4.5%
0.4 1
 
4.5%
61.0 1
 
4.5%
-8.6 1
 
4.5%
-0.9 1
 
4.5%
0.2 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
-39.8 1
4.5%
-15.2 1
4.5%
-10.4 1
4.5%
-10.0 1
4.5%
-8.9 1
4.5%
-8.6 1
4.5%
-8.3 1
4.5%
-7.2 1
4.5%
-0.9 1
4.5%
0.0 1
4.5%
ValueCountFrequency (%)
61.0 1
4.5%
44.1 1
4.5%
34.2 1
4.5%
29.3 1
4.5%
27.0 1
4.5%
25.0 1
4.5%
13.1 1
4.5%
6.0 1
4.5%
3.1 1
4.5%
1.7 1
4.5%

Interactions

2023-12-12T11:46:25.987829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:23.902729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.408983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.992885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.508123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:26.068765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:23.984012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.522459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.092156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.614044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:26.178999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.094176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.642597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.224185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.720328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:26.281686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.191002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.773265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.313017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.808148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:26.397898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.288722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:24.896294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.424397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:46:25.888849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:46:28.470505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도가입자수신규가입자수증감인원증감률(퍼센트)
연도1.0000.9850.7350.0000.000
가입자수0.9851.0000.5850.5140.564
신규가입자수0.7350.5851.0000.3930.215
증감인원0.0000.5140.3931.0000.848
증감률(퍼센트)0.0000.5640.2150.8481.000
2023-12-12T11:46:28.590691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도가입자수신규가입자수증감인원증감률(퍼센트)
연도1.0001.0000.714-0.168-0.112
가입자수1.0001.0000.714-0.168-0.112
신규가입자수0.7140.7141.0000.3120.361
증감인원-0.168-0.1680.3121.0000.970
증감률(퍼센트)-0.112-0.1120.3610.9701.000

Missing values

2023-12-12T11:46:26.516338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:46:26.632097image/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

연도가입자수신규가입자수증감인원증감률(퍼센트)
020019131923037400.0
12002930835308815071.7
22003947616414461056534.2
32004964593526271118127.0
4200598633931672-20955-39.8
52006100914539575790325.0
6200710217714196223876.0
7200810302564327713153.1
82009104789738969-4308-10.0
92010105240735519-3450-8.9
연도가입자수신규가입자수증감인원증감률(퍼센트)
122013107261035726-3218-8.3
1320141081147514741574844.1
1420151093038515901160.2
152016110797251125-465-0.9
162017112045846717-4408-8.6
1720181160586752322851561.0
1820191195051754982660.4
192020122132270096-5402-7.2
202021126142179267917113.1
212022128099471044-8223-10.4