Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory51.1 B

Variable types

Numeric5

Dataset

Description연도별 가입자수, 신규가입자수, 증감인원, 증감률에 대한 데이터로 2001년부터 연단위로 구분되면 2021년까지의 데이터가 있습니다.
Author공무원연금공단
URLhttps://www.data.go.kr/data/15052952/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
증감인원 is highly overall correlated with 증감률(퍼센트)High correlation
증감률(퍼센트) is highly overall correlated with 증감인원High correlation
신규가입자수 is highly overall correlated with 연도 and 1 other fieldsHigh 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 (4.8%) zerosZeros
증감률(퍼센트) has 1 (4.8%) zerosZeros

Reproduction

Analysis started2023-06-12 13:49:36.893694
Analysis finished2023-06-12 13:49:45.025379
Duration8.13 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011
Minimum2001
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2023-06-12T22:49:45.159871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2002
Q12006
median2011
Q32016
95-th percentile2020
Maximum2021
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.0030854484
Kurtosis-1.2
Mean2011
Median Absolute Deviation (MAD)5
Skewness0
Sum42231
Variance38.5
MonotonicityStrictly increasing
2023-06-12T22:49:45.431648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2001 1
 
4.8%
2012 1
 
4.8%
2021 1
 
4.8%
2003 1
 
4.8%
2004 1
 
4.8%
2005 1
 
4.8%
2006 1
 
4.8%
2007 1
 
4.8%
2008 1
 
4.8%
2009 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
2001 1
4.8%
2002 1
4.8%
2003 1
4.8%
2004 1
4.8%
2005 1
4.8%
2006 1
4.8%
2007 1
4.8%
2008 1
4.8%
2009 1
4.8%
2010 1
4.8%
ValueCountFrequency (%)
2021 1
4.8%
2020 1
4.8%
2019 1
4.8%
2018 1
4.8%
2017 1
4.8%
2016 1
4.8%
2015 1
4.8%
2014 1
4.8%
2013 1
4.8%
2012 1
4.8%

가입자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1063813.6
Minimum913192
Maximum1261421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2023-06-12T22:49:45.732745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum913192
5-th percentile930835
Q11009145
median1057958
Q31107972
95-th percentile1221322
Maximum1261421
Range348229
Interquartile range (IQR)98827

Descriptive statistics

Standard deviation92966.605
Coefficient of variation (CV)0.087389936
Kurtosis-0.16711301
Mean1063813.6
Median Absolute Deviation (MAD)50014
Skewness0.41464411
Sum22340086
Variance8.6427896 × 109
MonotonicityStrictly increasing
2023-06-12T22:49:45.991538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
913192 1
 
4.8%
1064472 1
 
4.8%
1261421 1
 
4.8%
947616 1
 
4.8%
964593 1
 
4.8%
986339 1
 
4.8%
1009145 1
 
4.8%
1021771 1
 
4.8%
1030256 1
 
4.8%
1047897 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
913192 1
4.8%
930835 1
4.8%
947616 1
4.8%
964593 1
4.8%
986339 1
4.8%
1009145 1
4.8%
1021771 1
4.8%
1030256 1
4.8%
1047897 1
4.8%
1052407 1
4.8%
ValueCountFrequency (%)
1261421 1
4.8%
1221322 1
4.8%
1195051 1
4.8%
1160586 1
4.8%
1120458 1
4.8%
1107972 1
4.8%
1093038 1
4.8%
1081147 1
4.8%
1072610 1
4.8%
1064472 1
4.8%

신규가입자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47242.762
Minimum30127
Maximum79267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2023-06-12T22:49:46.247915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum30127
5-th percentile30374
Q135726
median41962
Q351590
95-th percentile75498
Maximum79267
Range49140
Interquartile range (IQR)15864

Descriptive statistics

Standard deviation15559.236
Coefficient of variation (CV)0.32934645
Kurtosis-0.1364822
Mean47242.762
Median Absolute Deviation (MAD)9512
Skewness0.97613764
Sum992098
Variance2.4208982 × 108
MonotonicityNot monotonic
2023-06-12T22:49:46.469715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
30374 1
 
4.8%
38944 1
 
4.8%
79267 1
 
4.8%
41446 1
 
4.8%
52627 1
 
4.8%
31672 1
 
4.8%
39575 1
 
4.8%
41962 1
 
4.8%
43277 1
 
4.8%
38969 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
30127 1
4.8%
30374 1
4.8%
30881 1
4.8%
31672 1
4.8%
35519 1
4.8%
35726 1
4.8%
38944 1
4.8%
38969 1
4.8%
39575 1
4.8%
41446 1
4.8%
ValueCountFrequency (%)
79267 1
4.8%
75498 1
4.8%
75232 1
4.8%
70096 1
4.8%
52627 1
4.8%
51590 1
4.8%
51474 1
4.8%
51125 1
4.8%
46717 1
4.8%
43277 1
4.8%

증감인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2328.2381
Minimum-20955
Maximum28515
Zeros1
Zeros (%)4.8%
Negative8
Negative (%)38.1%
Memory size317.0 B
2023-06-12T22:49:46.702916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-20955
5-th percentile-5402
Q1-3450
median266
Q38817
95-th percentile15748
Maximum28515
Range49470
Interquartile range (IQR)12267

Descriptive statistics

Standard deviation9934.3028
Coefficient of variation (CV)4.2668758
Kurtosis2.2163951
Mean2328.2381
Median Absolute Deviation (MAD)4674
Skewness0.44118538
Sum48893
Variance98690372
MonotonicityNot monotonic
2023-06-12T22:49:46.972485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 1
 
4.8%
8817 1
 
4.8%
9171 1
 
4.8%
10565 1
 
4.8%
11181 1
 
4.8%
-20955 1
 
4.8%
7903 1
 
4.8%
2387 1
 
4.8%
1315 1
 
4.8%
-4308 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-20955 1
4.8%
-5402 1
4.8%
-5392 1
4.8%
-4408 1
4.8%
-4308 1
4.8%
-3450 1
4.8%
-3218 1
4.8%
-465 1
4.8%
0 1
4.8%
116 1
4.8%
ValueCountFrequency (%)
28515 1
4.8%
15748 1
4.8%
11181 1
4.8%
10565 1
4.8%
9171 1
4.8%
8817 1
4.8%
7903 1
4.8%
2387 1
4.8%
1315 1
4.8%
507 1
4.8%

증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9619048
Minimum-39.8
Maximum61
Zeros1
Zeros (%)4.8%
Negative8
Negative (%)38.1%
Memory size317.0 B
2023-06-12T22:49:47.210426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-39.8
5-th percentile-15.2
Q1-8.3
median0.4
Q325
95-th percentile44.1
Maximum61
Range100.8
Interquartile range (IQR)33.3

Descriptive statistics

Standard deviation22.847549
Coefficient of variation (CV)3.2817956
Kurtosis0.66301211
Mean6.9619048
Median Absolute Deviation (MAD)9.3
Skewness0.55940669
Sum146.2
Variance522.01048
MonotonicityNot monotonic
2023-06-12T22:49:47.477792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 1
 
4.8%
29.3 1
 
4.8%
13.1 1
 
4.8%
34.2 1
 
4.8%
27.0 1
 
4.8%
-39.8 1
 
4.8%
25.0 1
 
4.8%
6.0 1
 
4.8%
3.1 1
 
4.8%
-10.0 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-39.8 1
4.8%
-15.2 1
4.8%
-10.0 1
4.8%
-8.9 1
4.8%
-8.6 1
4.8%
-8.3 1
4.8%
-7.2 1
4.8%
-0.9 1
4.8%
0.0 1
4.8%
0.2 1
4.8%
ValueCountFrequency (%)
61.0 1
4.8%
44.1 1
4.8%
34.2 1
4.8%
29.3 1
4.8%
27.0 1
4.8%
25.0 1
4.8%
13.1 1
4.8%
6.0 1
4.8%
3.1 1
4.8%
1.7 1
4.8%

Interactions

2023-06-12T22:49:43.162787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:37.290549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:38.634043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:39.908705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:41.198789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:43.624571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:37.586176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:38.943031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:40.154954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:41.573351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:43.986787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:37.853102image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:39.200505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:40.395217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:41.790081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:44.240225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:38.149439image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:39.438373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:40.605238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:42.488244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:44.446171image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:38.397113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:39.649212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:40.842074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-06-12T22:49:42.811343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-06-12T22:49:47.668240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
연도가입자수신규가입자수증감인원증감률(퍼센트)
연도1.0000.9750.7670.1490.077
가입자수0.9751.0000.8220.1370.057
신규가입자수0.7670.8221.0000.4580.389
증감인원0.1490.1370.4581.0000.979
증감률(퍼센트)0.0770.0570.3890.9791.000
2023-06-12T22:49:48.202257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
연도가입자수신규가입자수증감인원증감률(퍼센트)
연도1.0001.0000.682-0.065-0.016
가입자수1.0001.0000.682-0.065-0.016
신규가입자수0.6820.6821.0000.4260.461
증감인원-0.065-0.0650.4261.0000.968
증감률(퍼센트)-0.016-0.0160.4610.9681.000
2023-06-12T22:49:48.465266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
연도가입자수신규가입자수증감인원증감률(퍼센트)
연도1.0001.0000.514-0.0380.010
가입자수1.0001.0000.514-0.0380.010
신규가입자수0.5140.5141.0000.2950.324
증감인원-0.038-0.0380.2951.0000.895
증감률(퍼센트)0.0100.0100.3240.8951.000
2023-06-12T22:49:48.709025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
연도가입자수신규가입자수증감인원증감률(퍼센트)
연도1.0000.8000.6630.0000.214
가입자수0.8001.0000.5470.7950.890
신규가입자수0.6630.5471.0000.0000.000
증감인원0.0000.7950.0001.0000.883
증감률(퍼센트)0.2140.8900.0000.8831.000
2023-06-12T22:49:48.970694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
연도가입자수신규가입자수증감인원증감률(퍼센트)
연도1.0001.0000.682-0.065-0.016
가입자수1.0001.0000.682-0.065-0.016
신규가입자수0.6820.6821.0000.4260.461
증감인원-0.065-0.0650.4261.0000.968
증감률(퍼센트)-0.016-0.0160.4610.9681.000

Missing values

2023-06-12T22:49:44.707230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-06-12T22:49:44.919323image/svg+xmlMatplotlib v3.7.1, 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)
112012106447238944881729.3
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