Overview

Dataset statistics

Number of variables7
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory65.0 B

Variable types

Numeric7

Dataset

Description가입자수, 퇴직자수, 증감인원, 증감률에 대한 데이터입니다. 1960년부터 2022년까지 연 단위로 구분됩니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15053007/fileData.do

Alerts

연도 is highly overall correlated with 가입자수 and 2 other fieldsHigh correlation
가입자수 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
퇴직자수합계 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
연금선택 가능 is highly overall correlated with 연도 and 2 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
퇴직자수합계 has unique valuesUnique
증감인원 has unique valuesUnique
일시금수령 대상 has 10 (15.9%) zerosZeros
연금선택 가능 has 10 (15.9%) zerosZeros
증감인원 has 1 (1.6%) zerosZeros
증감률(퍼센트) has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-21 00:34:51.141287
Analysis finished2024-04-21 00:35:01.172933
Duration10.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1991
Minimum1960
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-21T09:35:01.303832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1960
5-th percentile1963.1
Q11975.5
median1991
Q32006.5
95-th percentile2018.9
Maximum2022
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.009206581
Kurtosis-1.2
Mean1991
Median Absolute Deviation (MAD)16
Skewness0
Sum125433
Variance336
MonotonicityStrictly increasing
2024-04-21T09:35:01.557012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1960 1
 
1.6%
1961 1
 
1.6%
1994 1
 
1.6%
1995 1
 
1.6%
1996 1
 
1.6%
1997 1
 
1.6%
1998 1
 
1.6%
1999 1
 
1.6%
2000 1
 
1.6%
2001 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1960 1
1.6%
1961 1
1.6%
1962 1
1.6%
1963 1
1.6%
1964 1
1.6%
1965 1
1.6%
1966 1
1.6%
1967 1
1.6%
1968 1
1.6%
1969 1
1.6%
ValueCountFrequency (%)
2022 1
1.6%
2021 1
1.6%
2020 1
1.6%
2019 1
1.6%
2018 1
1.6%
2017 1
1.6%
2016 1
1.6%
2015 1
1.6%
2014 1
1.6%
2013 1
1.6%

가입자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean775265.57
Minimum237476
Maximum1280994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-21T09:35:01.819212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237476
5-th percentile273375.9
Q1498610.5
median884648
Q31015458
95-th percentile1191604.5
Maximum1280994
Range1043518
Interquartile range (IQR)516847.5

Descriptive statistics

Standard deviation301125.44
Coefficient of variation (CV)0.38841586
Kurtosis-1.1487004
Mean775265.57
Median Absolute Deviation (MAD)202367
Skewness-0.3128524
Sum48841731
Variance9.0676533 × 1010
MonotonicityNot monotonic
2024-04-21T09:35:02.169741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
237476 1
 
1.6%
237500 1
 
1.6%
948151 1
 
1.6%
957882 1
 
1.6%
971303 1
 
1.6%
981759 1
 
1.6%
952154 1
 
1.6%
913891 1
 
1.6%
909155 1
 
1.6%
913192 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
237476 1
1.6%
237500 1
1.6%
250685 1
1.6%
271725 1
1.6%
288234 1
1.6%
305316 1
1.6%
332688 1
1.6%
358382 1
1.6%
374870 1
1.6%
392110 1
1.6%
ValueCountFrequency (%)
1280994 1
1.6%
1261421 1
1.6%
1221322 1
1.6%
1195051 1
1.6%
1160586 1
1.6%
1120458 1
1.6%
1107972 1
1.6%
1093038 1
1.6%
1081147 1
1.6%
1072610 1
1.6%

퇴직자수합계
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33065.476
Minimum4391
Maximum94797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-21T09:35:02.525239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4391
5-th percentile15064.2
Q125550
median31357
Q337384.5
95-th percentile54983.7
Maximum94797
Range90406
Interquartile range (IQR)11834.5

Descriptive statistics

Standard deviation13149.714
Coefficient of variation (CV)0.39768713
Kurtosis7.3149214
Mean33065.476
Median Absolute Deviation (MAD)5846
Skewness1.7885196
Sum2083125
Variance1.7291498 × 108
MonotonicityNot monotonic
2024-04-21T09:35:02.774581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4391 1
 
1.6%
55678 1
 
1.6%
36875 1
 
1.6%
42907 1
 
1.6%
33777 1
 
1.6%
33989 1
 
1.6%
54900 1
 
1.6%
94797 1
 
1.6%
64345 1
 
1.6%
29509 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
4391 1
1.6%
12379 1
1.6%
13690 1
1.6%
15046 1
1.6%
15228 1
1.6%
20577 1
1.6%
20784 1
1.6%
22964 1
1.6%
23095 1
1.6%
24280 1
1.6%
ValueCountFrequency (%)
94797 1
1.6%
64345 1
1.6%
55678 1
1.6%
54993 1
1.6%
54900 1
1.6%
47319 1
1.6%
44676 1
1.6%
44010 1
1.6%
42907 1
1.6%
40340 1
1.6%

일시금수령 대상
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16148.54
Minimum0
Maximum36803
Zeros10
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-21T09:35:03.010513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19262.5
median16332
Q323476
95-th percentile34429.2
Maximum36803
Range36803
Interquartile range (IQR)14213.5

Descriptive statistics

Standard deviation10692.557
Coefficient of variation (CV)0.66213773
Kurtosis-0.88688437
Mean16148.54
Median Absolute Deviation (MAD)7070
Skewness0.1324918
Sum1017358
Variance1.1433079 × 108
MonotonicityNot monotonic
2024-04-21T09:35:03.280247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
15.9%
10068 1
 
1.6%
35185 1
 
1.6%
36803 1
 
1.6%
16002 1
 
1.6%
12571 1
 
1.6%
11183 1
 
1.6%
12077 1
 
1.6%
10931 1
 
1.6%
10216 1
 
1.6%
Other values (44) 44
69.8%
ValueCountFrequency (%)
0 10
15.9%
7106 1
 
1.6%
8106 1
 
1.6%
8193 1
 
1.6%
8205 1
 
1.6%
9182 1
 
1.6%
9262 1
 
1.6%
9263 1
 
1.6%
9404 1
 
1.6%
9658 1
 
1.6%
ValueCountFrequency (%)
36803 1
1.6%
35199 1
1.6%
35185 1
1.6%
34506 1
1.6%
33738 1
1.6%
31306 1
1.6%
30946 1
1.6%
30405 1
1.6%
29887 1
1.6%
29667 1
1.6%

연금선택 가능
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct54
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13424.762
Minimum0
Maximum59612
Zeros10
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-21T09:35:03.607487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13242.5
median8789
Q320465
95-th percentile35337.7
Maximum59612
Range59612
Interquartile range (IQR)17222.5

Descriptive statistics

Standard deviation12911.875
Coefficient of variation (CV)0.96179546
Kurtosis1.1852764
Mean13424.762
Median Absolute Deviation (MAD)7716
Skewness1.1251189
Sum845760
Variance1.6671652 × 108
MonotonicityNot monotonic
2024-04-21T09:35:04.033741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
15.9%
19967 1
 
1.6%
59612 1
 
1.6%
27542 1
 
1.6%
13507 1
 
1.6%
10524 1
 
1.6%
13716 1
 
1.6%
15307 1
 
1.6%
23831 1
 
1.6%
19805 1
 
1.6%
Other values (44) 44
69.8%
ValueCountFrequency (%)
0 10
15.9%
1095 1
 
1.6%
2206 1
 
1.6%
2643 1
 
1.6%
2654 1
 
1.6%
2963 1
 
1.6%
3114 1
 
1.6%
3371 1
 
1.6%
3494 1
 
1.6%
3618 1
 
1.6%
ValueCountFrequency (%)
59612 1
1.6%
38661 1
1.6%
35984 1
1.6%
35419 1
1.6%
34606 1
1.6%
32147 1
1.6%
31719 1
1.6%
31675 1
1.6%
30604 1
1.6%
29135 1
1.6%

증감인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.20635
Minimum-35101
Maximum51287
Zeros1
Zeros (%)1.6%
Negative25
Negative (%)39.7%
Memory size695.0 B
2024-04-21T09:35:04.442619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-35101
5-th percentile-14016.6
Q1-2638
median938
Q34187.5
95-th percentile14244.3
Maximum51287
Range86388
Interquartile range (IQR)6825.5

Descriptive statistics

Standard deviation12534.741
Coefficient of variation (CV)15.605879
Kurtosis6.4978924
Mean803.20635
Median Absolute Deviation (MAD)3581
Skewness0.61009937
Sum50602
Variance1.5711974 × 108
MonotonicityNot monotonic
2024-04-21T09:35:04.844351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
1.6%
51287 1
 
1.6%
1129 1
 
1.6%
6032 1
 
1.6%
-9130 1
 
1.6%
212 1
 
1.6%
20911 1
 
1.6%
39897 1
 
1.6%
-30452 1
 
1.6%
-34836 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
-35101 1
1.6%
-34836 1
1.6%
-30452 1
1.6%
-14168 1
1.6%
-12654 1
1.6%
-9130 1
1.6%
-8198 1
1.6%
-6414 1
1.6%
-6044 1
1.6%
-5948 1
1.6%
ValueCountFrequency (%)
51287 1
1.6%
39897 1
1.6%
20911 1
1.6%
14646 1
1.6%
10629 1
1.6%
10317 1
1.6%
9245 1
1.6%
7918 1
1.6%
7747 1
1.6%
7538 1
1.6%

증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.697143
Minimum-63
Maximum1168
Zeros1
Zeros (%)1.6%
Negative25
Negative (%)39.7%
Memory size695.0 B
2024-04-21T09:35:05.454976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-63
5-th percentile-35.74
Q1-9
median3.2
Q316.65
95-th percentile52.33
Maximum1168
Range1231
Interquartile range (IQR)25.65

Descriptive statistics

Standard deviation148.7922
Coefficient of variation (CV)6.8576864
Kurtosis59.448025
Mean21.697143
Median Absolute Deviation (MAD)13.2
Skewness7.604985
Sum1366.92
Variance22139.119
MonotonicityNot monotonic
2024-04-21T09:35:05.907506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17.1 2
 
3.2%
-4.8 2
 
3.2%
0.0 1
 
1.6%
-13.6 1
 
1.6%
3.2 1
 
1.6%
16.4 1
 
1.6%
-21.3 1
 
1.6%
0.6 1
 
1.6%
61.5 1
 
1.6%
72.7 1
 
1.6%
Other values (51) 51
81.0%
ValueCountFrequency (%)
-63.0 1
1.6%
-54.1 1
1.6%
-39.8 1
1.6%
-35.9 1
1.6%
-34.3 1
1.6%
-32.1 1
1.6%
-21.7 1
1.6%
-21.3 1
1.6%
-17.7 1
1.6%
-17.1 2
3.2%
ValueCountFrequency (%)
1168.0 1
1.6%
72.7 1
1.6%
61.5 1
1.6%
52.6 1
1.6%
49.9 1
1.6%
36.9 1
1.6%
35.3 1
1.6%
30.4 1
1.6%
26.9 1
1.6%
25.0 1
1.6%

Interactions

2024-04-21T09:34:59.711830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:51.424145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:52.434687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.427871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:54.442910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:56.179372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:58.090086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:59.965182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:51.573187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:52.583846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.569251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:54.695699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:56.428040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:58.331886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:35:00.128174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:51.719081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:52.723644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.709852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:54.946218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:56.673669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:58.566168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:35:00.262467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:51.852660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:52.858364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.834963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:55.183365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:56.907345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:58.789226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:35:00.420093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:52.009439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.009817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.985049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:55.440702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:57.162289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:59.031267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:35:00.568744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:52.157305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.156510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:54.125227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:55.695520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:57.609838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:59.268644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:35:00.699413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:52.287608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:53.282013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:54.246572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:55.926037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:57.841941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:59.477968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T09:35:06.185649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도가입자수퇴직자수합계일시금수령 대상연금선택 가능증감인원증감률(퍼센트)
연도1.0000.9640.6400.8860.7810.3630.467
가입자수0.9641.0000.5410.8820.7760.0000.033
퇴직자수합계0.6400.5411.0000.4690.8510.8910.752
일시금수령 대상0.8860.8820.4691.0000.6100.0000.000
연금선택 가능0.7810.7760.8510.6101.0000.7660.589
증감인원0.3630.0000.8910.0000.7661.0001.000
증감률(퍼센트)0.4670.0330.7520.0000.5891.0001.000
2024-04-21T09:35:06.482371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도가입자수퇴직자수합계일시금수령 대상연금선택 가능증감인원증감률(퍼센트)
연도1.0000.9900.502-0.0700.9510.0210.011
가입자수0.9901.0000.515-0.0670.9430.0430.030
퇴직자수합계0.5020.5151.0000.3460.6230.3890.368
일시금수령 대상-0.070-0.0670.3461.0000.0350.0370.013
연금선택 가능0.9510.9430.6230.0351.0000.1270.114
증감인원0.0210.0430.3890.0370.1271.0000.990
증감률(퍼센트)0.0110.0300.3680.0130.1140.9901.000

Missing values

2024-04-21T09:35:00.894801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T09:35:01.094074image/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

연도가입자수퇴직자수합계일시금수령 대상연금선택 가능증감인원증감률(퍼센트)
0196023747643910000.0
119612375005567800512871168.0
219622506852057700-35101-63.0
319632717251237900-8198-39.8
419642882341522800284923.0
519653053161369000-1538-10.1
61966332688150460013569.9
719673583822296400791852.6
819683748702869700573325.0
91969392110313570026609.3
연도가입자수퇴직자수합계일시금수령 대상연금선택 가능증감인원증감률(퍼센트)
532013107261029364926220102-6044-17.1
5420141081147440109404346061464649.9
552015109303840340819332147-3670-8.3
562016110797238398926329135-1942-4.8
572017112045837059820528854-1339-3.5
5820181160586377107106306046511.8
59201911950513978181063167520715.5
6020201221322473191133535984753818.9
6120211261421446761295731719-2643-5.6
62202212809945499316332386611031723.1