Overview

Dataset statistics

Number of variables5
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory46.9 B

Variable types

Numeric5

Dataset

Description사립학교교직원연금공단 가입자 수 예측치와 관련된 데이터로 연도별 가입자 수, 퇴직연금 수급자, 유족연금 수급자, 연계연금 수급자 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15102551/fileData.do

Alerts

연도 is highly overall correlated with 가입자 수 and 2 other fieldsHigh correlation
가입자 수 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
퇴직연금 수급자 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
연계연금 수급자 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
연도 has unique valuesUnique
가입자 수 has unique valuesUnique
퇴직연금 수급자 has unique valuesUnique
유족연금 수급자 has unique valuesUnique
연계연금 수급자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:30:03.155234
Analysis finished2023-12-12 23:30:05.976839
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2055
Minimum2020
Maximum2090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T08:30:06.045440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2020
5-th percentile2023.5
Q12037.5
median2055
Q32072.5
95-th percentile2086.5
Maximum2090
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.010043682
Kurtosis-1.2
Mean2055
Median Absolute Deviation (MAD)18
Skewness0
Sum145905
Variance426
MonotonicityStrictly increasing
2023-12-13T08:30:06.165496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2020 1
 
1.4%
2021 1
 
1.4%
2072 1
 
1.4%
2071 1
 
1.4%
2070 1
 
1.4%
2069 1
 
1.4%
2068 1
 
1.4%
2067 1
 
1.4%
2066 1
 
1.4%
2065 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
2020 1
1.4%
2021 1
1.4%
2022 1
1.4%
2023 1
1.4%
2024 1
1.4%
2025 1
1.4%
2026 1
1.4%
2027 1
1.4%
2028 1
1.4%
2029 1
1.4%
ValueCountFrequency (%)
2090 1
1.4%
2089 1
1.4%
2088 1
1.4%
2087 1
1.4%
2086 1
1.4%
2085 1
1.4%
2084 1
1.4%
2083 1
1.4%
2082 1
1.4%
2081 1
1.4%

가입자 수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241429.61
Minimum131691
Maximum324687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T08:30:06.288037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131691
5-th percentile141454.5
Q1185226
median255975
Q3294589
95-th percentile316750
Maximum324687
Range192996
Interquartile range (IQR)109363

Descriptive statistics

Standard deviation61393.657
Coefficient of variation (CV)0.25429216
Kurtosis-1.3114488
Mean241429.61
Median Absolute Deviation (MAD)52732
Skewness-0.34513958
Sum17141502
Variance3.7691811 × 109
MonotonicityNot monotonic
2023-12-13T08:30:06.415661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324687 1
 
1.4%
322388 1
 
1.4%
187110 1
 
1.4%
191009 1
 
1.4%
194945 1
 
1.4%
198995 1
 
1.4%
203140 1
 
1.4%
207279 1
 
1.4%
211422 1
 
1.4%
215478 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
131691 1
1.4%
134448 1
1.4%
137237 1
1.4%
140049 1
1.4%
142860 1
1.4%
145656 1
1.4%
148476 1
1.4%
151353 1
1.4%
154243 1
1.4%
157166 1
1.4%
ValueCountFrequency (%)
324687 1
1.4%
322388 1
1.4%
319602 1
1.4%
317931 1
1.4%
315569 1
1.4%
313679 1
1.4%
312927 1
1.4%
312448 1
1.4%
312370 1
1.4%
311936 1
1.4%

퇴직연금 수급자
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191009.68
Minimum80297
Maximum231271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T08:30:06.557542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80297
5-th percentile102446
Q1163100
median208119
Q3226650
95-th percentile231057.5
Maximum231271
Range150974
Interquartile range (IQR)63550

Descriptive statistics

Standard deviation43583.023
Coefficient of variation (CV)0.22817181
Kurtosis-0.127523
Mean191009.68
Median Absolute Deviation (MAD)21676
Skewness-1.0244324
Sum13561687
Variance1.8994799 × 109
MonotonicityNot monotonic
2023-12-13T08:30:06.936376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80297 1
 
1.4%
86761 1
 
1.4%
230795 1
 
1.4%
230342 1
 
1.4%
229795 1
 
1.4%
229077 1
 
1.4%
228250 1
 
1.4%
227342 1
 
1.4%
226371 1
 
1.4%
225232 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
80297 1
1.4%
86761 1
1.4%
92961 1
1.4%
99428 1
1.4%
105464 1
1.4%
111287 1
1.4%
116764 1
1.4%
121811 1
1.4%
126453 1
1.4%
131124 1
1.4%
ValueCountFrequency (%)
231271 1
1.4%
231229 1
1.4%
231208 1
1.4%
231079 1
1.4%
231036 1
1.4%
230831 1
1.4%
230795 1
1.4%
230396 1
1.4%
230342 1
1.4%
229932 1
1.4%

유족연금 수급자
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17385.873
Minimum8484
Maximum25188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T08:30:07.061930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8484
5-th percentile9242.5
Q113901
median16964
Q321698.5
95-th percentile24954
Maximum25188
Range16704
Interquartile range (IQR)7797.5

Descriptive statistics

Standard deviation4980.2799
Coefficient of variation (CV)0.28645555
Kurtosis-1.0739112
Mean17385.873
Median Absolute Deviation (MAD)3671
Skewness-0.024172005
Sum1234397
Variance24803188
MonotonicityNot monotonic
2023-12-13T08:30:07.191571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8484 1
 
1.4%
8671 1
 
1.4%
18505 1
 
1.4%
18959 1
 
1.4%
19429 1
 
1.4%
19918 1
 
1.4%
20422 1
 
1.4%
20941 1
 
1.4%
21475 1
 
1.4%
22030 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
8484 1
1.4%
8671 1
1.4%
8880 1
1.4%
9113 1
1.4%
9372 1
1.4%
9659 1
1.4%
9978 1
1.4%
10326 1
1.4%
10704 1
1.4%
11112 1
1.4%
ValueCountFrequency (%)
25188 1
1.4%
25153 1
1.4%
25115 1
1.4%
24998 1
1.4%
24910 1
1.4%
24753 1
1.4%
24596 1
1.4%
24438 1
1.4%
24182 1
1.4%
24055 1
1.4%

연계연금 수급자
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23848.451
Minimum1200
Maximum82042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-13T08:30:07.318819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile1523
Q12494.5
median6807
Q344800
95-th percentile77604.5
Maximum82042
Range80842
Interquartile range (IQR)42305.5

Descriptive statistics

Standard deviation27530.948
Coefficient of variation (CV)1.1544124
Kurtosis-0.6594875
Mean23848.451
Median Absolute Deviation (MAD)5252
Skewness0.94982862
Sum1693240
Variance7.5795309 × 108
MonotonicityStrictly increasing
2023-12-13T08:30:07.438686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1200 1
 
1.4%
1387 1
 
1.4%
43376 1
 
1.4%
40502 1
 
1.4%
37611 1
 
1.4%
34720 1
 
1.4%
31890 1
 
1.4%
29140 1
 
1.4%
26486 1
 
1.4%
23937 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1200 1
1.4%
1387 1
1.4%
1473 1
1.4%
1491 1
1.4%
1555 1
1.4%
1632 1
1.4%
1708 1
1.4%
1766 1
1.4%
1778 1
1.4%
1843 1
1.4%
ValueCountFrequency (%)
82042 1
1.4%
81008 1
1.4%
79796 1
1.4%
78396 1
1.4%
76813 1
1.4%
75072 1
1.4%
73173 1
1.4%
71132 1
1.4%
68962 1
1.4%
66698 1
1.4%

Interactions

2023-12-13T08:30:05.318037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.313885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.758010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.294423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.821210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:05.426675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.401015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.859120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.404284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.915245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:05.542823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.493105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.957891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.516410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:05.018697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:05.636822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.582532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.061649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.612548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:05.126885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:05.729503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:03.667494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.164891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:04.720417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:05.222593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:30:07.527055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도가입자 수퇴직연금 수급자유족연금 수급자연계연금 수급자
연도1.0000.9860.9450.9560.946
가입자 수0.9861.0000.8940.9460.968
퇴직연금 수급자0.9450.8941.0000.9130.000
유족연금 수급자0.9560.9460.9131.0000.914
연계연금 수급자0.9460.9680.0000.9141.000
2023-12-13T08:30:07.639883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도가입자 수퇴직연금 수급자유족연금 수급자연계연금 수급자
연도1.000-1.0000.9170.3061.000
가입자 수-1.0001.000-0.917-0.306-1.000
퇴직연금 수급자0.917-0.9171.0000.4340.917
유족연금 수급자0.306-0.3060.4341.0000.306
연계연금 수급자1.000-1.0000.9170.3061.000

Missing values

2023-12-13T08:30:05.850845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:30:05.941380image/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

연도가입자 수퇴직연금 수급자유족연금 수급자연계연금 수급자
020203246878029784841200
120213223888676186711387
220223196029296188801473
320233179319942891131491
4202431556910546493721555
5202531367911128796591632
6202631244811676499781708
72027312370121811103261766
82028312927126453107041778
92029311936131124111121843
연도가입자 수퇴직연금 수급자유족연금 수급자연계연금 수급자
6120811571662293751527466698
6220821542432286831501768962
6320831513532278831477471132
6420841484762269291454873173
6520851456562257501434575072
6620861428602243841415876813
6720871400492228431398378396
6820881372372211351381979796
6920891344482192521366281008
7020901316912172051351482042