Overview

Dataset statistics

Number of variables9
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory82.8 B

Variable types

Text1
Numeric7
Categorical1

Dataset

Description퇴직사유(정년퇴직, 당연퇴직, 일반퇴직, 사망 등)별 연령별(19세 ~ 65세 이상) 퇴직자 추이에 대한 데이터입니다. 18세 이상부터 시작됩니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15054057/fileData.do

Alerts

계 is highly overall correlated with 명예퇴직 and 2 other fieldsHigh correlation
명예퇴직 is highly overall correlated with 계 and 3 other fieldsHigh correlation
정년퇴직 is highly overall correlated with 계 and 2 other fieldsHigh correlation
당연퇴직 is highly overall correlated with 사망 and 2 other fieldsHigh correlation
사망 is highly overall correlated with 계 and 4 other fieldsHigh correlation
기타 is highly overall correlated with 명예퇴직 and 2 other fieldsHigh correlation
직권면직 is highly overall correlated with 당연퇴직High correlation
직권면직 is highly imbalanced (69.6%)Imbalance
구분 has unique valuesUnique
명예퇴직 has 22 (45.8%) zerosZeros
정년퇴직 has 31 (64.6%) zerosZeros
당연퇴직 has 6 (12.5%) zerosZeros
사망 has 4 (8.3%) zerosZeros
기타 has 7 (14.6%) zerosZeros

Reproduction

Analysis started2024-04-17 10:52:05.403159
Analysis finished2024-04-17 10:52:09.394869
Duration3.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-17T19:52:09.535073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.1041667
Min length3

Characters and Unicode

Total characters149
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row18세 이상
2nd row19세
3rd row20세
4th row21세
5th row22세
ValueCountFrequency (%)
18세 1
 
2.0%
42세 1
 
2.0%
53세 1
 
2.0%
44세 1
 
2.0%
45세 1
 
2.0%
46세 1
 
2.0%
47세 1
 
2.0%
48세 1
 
2.0%
49세 1
 
2.0%
50세 1
 
2.0%
Other values (39) 39
79.6%
2024-04-17T19:52:09.828815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 48
32.2%
2 15
 
10.1%
3 15
 
10.1%
4 15
 
10.1%
5 15
 
10.1%
6 10
 
6.7%
1 7
 
4.7%
8 5
 
3.4%
9 5
 
3.4%
0 5
 
3.4%
Other values (4) 9
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
64.4%
Other Letter 52
34.9%
Space Separator 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15
15.6%
3 15
15.6%
4 15
15.6%
5 15
15.6%
6 10
10.4%
1 7
7.3%
8 5
 
5.2%
9 5
 
5.2%
0 5
 
5.2%
7 4
 
4.2%
Other Letter
ValueCountFrequency (%)
세 48
92.3%
이 2
 
3.8%
상 2
 
3.8%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97
65.1%
Hangul 52
34.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 15
15.5%
3 15
15.5%
4 15
15.5%
5 15
15.5%
6 10
10.3%
1 7
7.2%
8 5
 
5.2%
9 5
 
5.2%
0 5
 
5.2%
7 4
 
4.1%
Hangul
ValueCountFrequency (%)
세 48
92.3%
이 2
 
3.8%
상 2
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97
65.1%
Hangul 52
34.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 48
92.3%
이 2
 
3.8%
상 2
 
3.8%
ASCII
ValueCountFrequency (%)
2 15
15.5%
3 15
15.5%
4 15
15.5%
5 15
15.5%
6 10
10.3%
1 7
7.2%
8 5
 
5.2%
9 5
 
5.2%
0 5
 
5.2%
7 4
 
4.1%

계
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1145.6875
Minimum1
Maximum16567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T19:52:09.941654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.15
Q1532.75
median645.5
Q3979.25
95-th percentile2814.55
Maximum16567
Range16566
Interquartile range (IQR)446.5

Descriptive statistics

Standard deviation2376.8061
Coefficient of variation (CV)2.0745675
Kurtosis39.67925
Mean1145.6875
Median Absolute Deviation (MAD)296
Skewness6.0716653
Sum54993
Variance5649207.2
MonotonicityNot monotonic
2024-04-17T19:52:10.044540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
594 2
 
4.2%
532 2
 
4.2%
677 2
 
4.2%
596 1
 
2.1%
538 1
 
2.1%
590 1
 
2.1%
608 1
 
2.1%
710 1
 
2.1%
709 1
 
2.1%
715 1
 
2.1%
Other values (35) 35
72.9%
ValueCountFrequency (%)
1 1
2.1%
7 1
2.1%
8 1
2.1%
17 1
2.1%
39 1
2.1%
70 1
2.1%
84 1
2.1%
180 1
2.1%
344 1
2.1%
510 1
2.1%
ValueCountFrequency (%)
16567 1
2.1%
3266 1
2.1%
2971 1
2.1%
2524 1
2.1%
2104 1
2.1%
1499 1
2.1%
1401 1
2.1%
1349 1
2.1%
1140 1
2.1%
1111 1
2.1%

명예퇴직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.3125
Minimum0
Maximum2673
Zeros22
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T19:52:10.144198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q3235.25
95-th percentile1600.05
Maximum2673
Range2673
Interquartile range (IQR)235.25

Descriptive statistics

Standard deviation597.25212
Coefficient of variation (CV)2.0643841
Kurtosis6.9855871
Mean289.3125
Median Absolute Deviation (MAD)5
Skewness2.6539613
Sum13887
Variance356710.09
MonotonicityNot monotonic
2024-04-17T19:52:10.239456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 22
45.8%
11 2
 
4.2%
546 1
 
2.1%
3 1
 
2.1%
8 1
 
2.1%
229 1
 
2.1%
925 1
 
2.1%
812 1
 
2.1%
2673 1
 
2.1%
2240 1
 
2.1%
Other values (16) 16
33.3%
ValueCountFrequency (%)
0 22
45.8%
3 1
 
2.1%
4 1
 
2.1%
6 1
 
2.1%
8 1
 
2.1%
11 2
 
4.2%
42 1
 
2.1%
48 1
 
2.1%
74 1
 
2.1%
89 1
 
2.1%
ValueCountFrequency (%)
2673 1
2.1%
2240 1
2.1%
1809 1
2.1%
1212 1
2.1%
1025 1
2.1%
925 1
2.1%
812 1
2.1%
775 1
2.1%
546 1
2.1%
356 1
2.1%

정년퇴직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.41667
Minimum0
Maximum15280
Zeros31
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T19:52:10.333949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile1077.55
Maximum15280
Range15280
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2236.6576
Coefficient of variation (CV)5.3200974
Kurtosis43.930337
Mean420.41667
Median Absolute Deviation (MAD)0
Skewness6.5330329
Sum20180
Variance5002637.4
MonotonicityNot monotonic
2024-04-17T19:52:10.423808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 31
64.6%
1 3
 
6.2%
2 2
 
4.2%
3 1
 
2.1%
4 1
 
2.1%
6 1
 
2.1%
9 1
 
2.1%
15 1
 
2.1%
17 1
 
2.1%
20 1
 
2.1%
Other values (5) 5
 
10.4%
ValueCountFrequency (%)
0 31
64.6%
1 3
 
6.2%
2 2
 
4.2%
3 1
 
2.1%
4 1
 
2.1%
6 1
 
2.1%
9 1
 
2.1%
15 1
 
2.1%
17 1
 
2.1%
18 1
 
2.1%
ValueCountFrequency (%)
15280 1
2.1%
2828 1
2.1%
1290 1
2.1%
683 1
2.1%
20 1
2.1%
18 1
2.1%
17 1
2.1%
15 1
2.1%
9 1
2.1%
6 1
2.1%

일반퇴직
Real number (ℝ)

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.22917
Minimum1
Maximum1120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T19:52:10.536617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.45
Q1214.5
median399.5
Q3555.25
95-th percentile939.75
Maximum1120
Range1119
Interquartile range (IQR)340.75

Descriptive statistics

Standard deviation276.06322
Coefficient of variation (CV)0.67624571
Kurtosis-0.0077143596
Mean408.22917
Median Absolute Deviation (MAD)182
Skewness0.59447094
Sum19595
Variance76210.904
MonotonicityNot monotonic
2024-04-17T19:52:10.640564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
174 2
 
4.2%
1 1
 
2.1%
248 1
 
2.1%
453 1
 
2.1%
417 1
 
2.1%
423 1
 
2.1%
403 1
 
2.1%
381 1
 
2.1%
396 1
 
2.1%
356 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
1 1
2.1%
7 1
2.1%
8 1
2.1%
15 1
2.1%
37 1
2.1%
67 1
2.1%
74 1
2.1%
96 1
2.1%
174 2
4.2%
192 1
2.1%
ValueCountFrequency (%)
1120 1
2.1%
979 1
2.1%
945 1
2.1%
930 1
2.1%
857 1
2.1%
785 1
2.1%
657 1
2.1%
654 1
2.1%
629 1
2.1%
604 1
2.1%

당연퇴직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9791667
Minimum0
Maximum16
Zeros6
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T19:52:10.728799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile9.65
Maximum16
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4300895
Coefficient of variation (CV)0.86201203
Kurtosis2.4627587
Mean3.9791667
Median Absolute Deviation (MAD)2
Skewness1.3321855
Sum191
Variance11.765514
MonotonicityNot monotonic
2024-04-17T19:52:11.038733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 8
16.7%
3 7
14.6%
0 6
12.5%
5 6
12.5%
6 5
10.4%
4 4
8.3%
2 4
8.3%
8 2
 
4.2%
7 2
 
4.2%
9 1
 
2.1%
Other values (3) 3
 
6.2%
ValueCountFrequency (%)
0 6
12.5%
1 8
16.7%
2 4
8.3%
3 7
14.6%
4 4
8.3%
5 6
12.5%
6 5
10.4%
7 2
 
4.2%
8 2
 
4.2%
9 1
 
2.1%
ValueCountFrequency (%)
16 1
 
2.1%
13 1
 
2.1%
10 1
 
2.1%
9 1
 
2.1%
8 2
 
4.2%
7 2
 
4.2%
6 5
10.4%
5 6
12.5%
4 4
8.3%
3 7
14.6%

직권면직
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
44 
1
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
91.7%
1 3
 
6.2%
3 1
 
2.1%

Length

2024-04-17T19:52:11.149027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:52:11.226561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
91.7%
1 3
 
6.2%
3 1
 
2.1%

사망
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.583333
Minimum0
Maximum43
Zeros4
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T19:52:11.306495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median11.5
Q327.25
95-th percentile37
Maximum43
Range43
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation12.814276
Coefficient of variation (CV)0.82230649
Kurtosis-0.90714917
Mean15.583333
Median Absolute Deviation (MAD)8.5
Skewness0.58920794
Sum748
Variance164.20567
MonotonicityNot monotonic
2024-04-17T19:52:11.401246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
8.3%
12 3
 
6.2%
32 3
 
6.2%
28 3
 
6.2%
1 3
 
6.2%
11 3
 
6.2%
20 3
 
6.2%
8 3
 
6.2%
9 3
 
6.2%
37 2
 
4.2%
Other values (16) 18
37.5%
ValueCountFrequency (%)
0 4
8.3%
1 3
6.2%
2 1
 
2.1%
3 1
 
2.1%
4 2
4.2%
5 2
4.2%
6 1
 
2.1%
7 1
 
2.1%
8 3
6.2%
9 3
6.2%
ValueCountFrequency (%)
43 1
 
2.1%
41 1
 
2.1%
37 2
4.2%
36 1
 
2.1%
35 1
 
2.1%
32 3
6.2%
28 3
6.2%
27 1
 
2.1%
25 1
 
2.1%
22 1
 
2.1%

기타
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0416667
Minimum0
Maximum23
Zeros7
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T19:52:11.487898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7.5
Q312
95-th percentile18.6
Maximum23
Range23
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.2055512
Coefficient of variation (CV)0.77167476
Kurtosis-0.25412358
Mean8.0416667
Median Absolute Deviation (MAD)4.5
Skewness0.55667107
Sum386
Variance38.508865
MonotonicityNot monotonic
2024-04-17T19:52:11.571553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 7
14.6%
10 5
10.4%
4 4
 
8.3%
12 4
 
8.3%
7 4
 
8.3%
8 3
 
6.2%
16 3
 
6.2%
15 3
 
6.2%
2 2
 
4.2%
5 2
 
4.2%
Other values (8) 11
22.9%
ValueCountFrequency (%)
0 7
14.6%
1 2
 
4.2%
2 2
 
4.2%
3 2
 
4.2%
4 4
8.3%
5 2
 
4.2%
6 1
 
2.1%
7 4
8.3%
8 3
6.2%
9 1
 
2.1%
ValueCountFrequency (%)
23 2
 
4.2%
20 1
 
2.1%
16 3
6.2%
15 3
6.2%
13 1
 
2.1%
12 4
8.3%
11 1
 
2.1%
10 5
10.4%
9 1
 
2.1%
8 3
6.2%

Interactions

2024-04-17T19:52:08.735550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:05.637801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.079077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.728919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.285763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.773656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.263775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.802341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:05.700363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.141815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.815307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.352584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.842416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.326869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.868424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:05.759962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.203786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.896997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.424285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.908662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.388926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.938113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:05.833063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.273456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.992594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.510700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.982373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.467835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:09.002778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:05.894090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.333615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.074919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.583539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.048548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.540741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:09.093602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:05.963227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.609836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.156166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.653293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.123077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.618113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:09.155602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.019730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:06.663858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.221611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:07.712374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.188912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:52:08.676800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T19:52:11.635701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분계명예퇴직정년퇴직일반퇴직당연퇴직직권면직사망기타
구분1.0001.0001.0001.0001.0001.0001.0001.0001.000
계1.0001.0000.7600.9660.5320.3280.0000.2370.000
명예퇴직1.0000.7601.0000.2150.0000.6880.1320.6280.319
정년퇴직1.0000.9660.2151.0000.0000.0000.0000.0000.000
일반퇴직1.0000.5320.0000.0001.0000.3530.0000.6610.726
당연퇴직1.0000.3280.6880.0000.3531.0000.9660.6450.579
직권면직1.0000.0000.1320.0000.0000.9661.0000.4790.591
사망1.0000.2370.6280.0000.6610.6450.4791.0000.625
기타1.0000.0000.3190.0000.7260.5790.5910.6251.000
2024-04-17T19:52:11.731495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계명예퇴직정년퇴직일반퇴직당연퇴직사망기타직권면직
계1.0000.5890.7260.2110.3940.5340.4160.000
명예퇴직0.5891.0000.795-0.3090.4100.7700.6120.055
정년퇴직0.7260.7951.000-0.3900.1840.5150.3120.000
일반퇴직0.211-0.309-0.3901.0000.4090.1860.2930.000
당연퇴직0.3940.4100.1840.4091.0000.6810.5560.725
사망0.5340.7700.5150.1860.6811.0000.8490.296
기타0.4160.6120.3120.2930.5560.8491.0000.291
직권면직0.0000.0550.0000.0000.7250.2960.2911.000

Missing values

2024-04-17T19:52:09.246105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T19:52:09.355931image/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

구분계명예퇴직정년퇴직일반퇴직당연퇴직직권면직사망기타
018세 이상10010000
119세70070000
220세80080000
321세1700151001
422세3900371010
523세7000671011
624세180001740042
725세344003350054
826세510005014050
927세665006543044
구분계명예퇴직정년퇴직일반퇴직당연퇴직직권면직사망기타
3856세1499121215219603215
3957세2104180917216403523
4058세25242240202101003212
4159세297126731823760289
4260세1656781215280435202810
4361세111192511740074
4462세3266229282819230113
4563세1401111290961030
4664세8480741010
4765세이상97236832801023