Overview

Dataset statistics

Number of variables17
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory155.2 B

Variable types

Text1
Numeric15
Categorical1

Dataset

Description직종별(정무직, 별정직, 일반직, 경찰, 소방, 교육직 등) 재직년수(1년 미만 ~ 40년 이상)별 퇴직자 현황에 대한 데이터입니다.
URLhttps://www.data.go.kr/data/15054053/fileData.do

Alerts

is highly overall correlated with 정무직 and 10 other fieldsHigh correlation
정무직 is highly overall correlated with and 9 other fieldsHigh correlation
별정직 is highly overall correlated with 계약직 and 1 other fieldsHigh correlation
일반직 is highly overall correlated with and 9 other fieldsHigh correlation
경찰 is highly overall correlated with and 8 other fieldsHigh correlation
소방 is highly overall correlated with and 9 other fieldsHigh correlation
교육직 is highly overall correlated with and 9 other fieldsHigh correlation
법관검사 is highly overall correlated with and 1 other fieldsHigh correlation
공안직 is highly overall correlated with and 9 other fieldsHigh correlation
군무원 is highly overall correlated with and 9 other fieldsHigh correlation
연구직 is highly overall correlated with and 8 other fieldsHigh correlation
지도직 is highly overall correlated with and 7 other fieldsHigh correlation
계약직 is highly overall correlated with 별정직 and 2 other fieldsHigh correlation
공중보건의 is highly overall correlated with 별정직 and 2 other fieldsHigh correlation
기타 is highly overall correlated with and 8 other fieldsHigh correlation
구분 has unique valuesUnique
정무직 has 17 (41.5%) zerosZeros
별정직 has 3 (7.3%) zerosZeros
법관검사 has 3 (7.3%) zerosZeros
공안직 has 1 (2.4%) zerosZeros
연구직 has 1 (2.4%) zerosZeros
지도직 has 3 (7.3%) zerosZeros
공중보건의 has 32 (78.0%) zerosZeros

Reproduction

Analysis started2023-12-12 01:56:21.740138
Analysis finished2023-12-12 01:56:49.993848
Duration28.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T10:56:50.151337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.902439
Min length2

Characters and Unicode

Total characters119
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row1년미만
2nd row1년이상
3rd row2년
4th row3년
5th row4년
ValueCountFrequency (%)
1년미만 1
 
2.4%
21년 1
 
2.4%
23년 1
 
2.4%
24년 1
 
2.4%
25년 1
 
2.4%
26년 1
 
2.4%
27년 1
 
2.4%
28년 1
 
2.4%
29년 1
 
2.4%
30년 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T10:56:50.525782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
34.5%
1 15
 
12.6%
2 14
 
11.8%
3 14
 
11.8%
4 5
 
4.2%
5 4
 
3.4%
6 4
 
3.4%
7 4
 
3.4%
8 4
 
3.4%
9 4
 
3.4%
Other values (5) 10
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
60.5%
Other Letter 47
39.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
20.8%
2 14
19.4%
3 14
19.4%
4 5
 
6.9%
5 4
 
5.6%
6 4
 
5.6%
7 4
 
5.6%
8 4
 
5.6%
9 4
 
5.6%
0 4
 
5.6%
Other Letter
ValueCountFrequency (%)
41
87.2%
2
 
4.3%
2
 
4.3%
1
 
2.1%
1
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 72
60.5%
Hangul 47
39.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15
20.8%
2 14
19.4%
3 14
19.4%
4 5
 
6.9%
5 4
 
5.6%
6 4
 
5.6%
7 4
 
5.6%
8 4
 
5.6%
9 4
 
5.6%
0 4
 
5.6%
Hangul
ValueCountFrequency (%)
41
87.2%
2
 
4.3%
2
 
4.3%
1
 
2.1%
1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
60.5%
Hangul 47
39.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
41
87.2%
2
 
4.3%
2
 
4.3%
1
 
2.1%
1
 
2.1%
ASCII
ValueCountFrequency (%)
1 15
20.8%
2 14
19.4%
3 14
19.4%
4 5
 
6.9%
5 4
 
5.6%
6 4
 
5.6%
7 4
 
5.6%
8 4
 
5.6%
9 4
 
5.6%
0 4
 
5.6%


Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1341.2927
Minimum205
Maximum3706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:50.677179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205
5-th percentile283
Q1333
median641
Q32305
95-th percentile3584
Maximum3706
Range3501
Interquartile range (IQR)1972

Descriptive statistics

Standard deviation1228.2005
Coefficient of variation (CV)0.91568415
Kurtosis-0.95880659
Mean1341.2927
Median Absolute Deviation (MAD)347
Skewness0.81821946
Sum54993
Variance1508476.4
MonotonicityNot monotonic
2023-12-12T10:56:50.845563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
641 2
 
4.9%
3123 1
 
2.4%
2894 1
 
2.4%
307 1
 
2.4%
381 1
 
2.4%
492 1
 
2.4%
575 1
 
2.4%
720 1
 
2.4%
863 1
 
2.4%
1498 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
205 1
2.4%
255 1
2.4%
283 1
2.4%
294 1
2.4%
307 1
2.4%
308 1
2.4%
310 1
2.4%
314 1
2.4%
322 1
2.4%
332 1
2.4%
ValueCountFrequency (%)
3706 1
2.4%
3611 1
2.4%
3584 1
2.4%
3538 1
2.4%
3459 1
2.4%
3123 1
2.4%
3120 1
2.4%
2894 1
2.4%
2644 1
2.4%
2473 1
2.4%

정무직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.097561
Minimum0
Maximum29
Zeros17
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:50.983784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile14
Maximum29
Range29
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.5937683
Coefficient of variation (CV)1.8058622
Kurtosis11.123853
Mean3.097561
Median Absolute Deviation (MAD)1
Skewness3.0114961
Sum127
Variance31.290244
MonotonicityNot monotonic
2023-12-12T10:56:51.096600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 17
41.5%
1 11
26.8%
3 2
 
4.9%
4 2
 
4.9%
8 2
 
4.9%
7 2
 
4.9%
14 2
 
4.9%
29 1
 
2.4%
5 1
 
2.4%
10 1
 
2.4%
ValueCountFrequency (%)
0 17
41.5%
1 11
26.8%
3 2
 
4.9%
4 2
 
4.9%
5 1
 
2.4%
7 2
 
4.9%
8 2
 
4.9%
10 1
 
2.4%
14 2
 
4.9%
29 1
 
2.4%
ValueCountFrequency (%)
29 1
 
2.4%
14 2
 
4.9%
10 1
 
2.4%
8 2
 
4.9%
7 2
 
4.9%
5 1
 
2.4%
4 2
 
4.9%
3 2
 
4.9%
1 11
26.8%
0 17
41.5%

별정직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.02439
Minimum0
Maximum188
Zeros3
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:51.221817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q314
95-th percentile148
Maximum188
Range188
Interquartile range (IQR)12

Descriptive statistics

Standard deviation46.436778
Coefficient of variation (CV)2.0168516
Kurtosis6.889328
Mean23.02439
Median Absolute Deviation (MAD)3
Skewness2.766564
Sum944
Variance2156.3744
MonotonicityNot monotonic
2023-12-12T10:56:51.342241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3 6
14.6%
1 5
12.2%
2 4
 
9.8%
0 3
 
7.3%
4 3
 
7.3%
12 2
 
4.9%
20 2
 
4.9%
5 2
 
4.9%
7 1
 
2.4%
6 1
 
2.4%
Other values (12) 12
29.3%
ValueCountFrequency (%)
0 3
7.3%
1 5
12.2%
2 4
9.8%
3 6
14.6%
4 3
7.3%
5 2
 
4.9%
6 1
 
2.4%
7 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
ValueCountFrequency (%)
188 1
2.4%
179 1
2.4%
148 1
2.4%
102 1
2.4%
54 1
2.4%
44 1
2.4%
31 1
2.4%
26 1
2.4%
20 2
4.9%
14 1
2.4%

일반직
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean483.60976
Minimum54
Maximum1503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:51.484733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile94
Q1122
median248
Q3779
95-th percentile1469
Maximum1503
Range1449
Interquartile range (IQR)657

Descriptive statistics

Standard deviation459.16979
Coefficient of variation (CV)0.94946345
Kurtosis-0.037260196
Mean483.60976
Median Absolute Deviation (MAD)146
Skewness1.104672
Sum19828
Variance210836.89
MonotonicityNot monotonic
2023-12-12T10:56:51.650543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
110 2
 
4.9%
856 1
 
2.4%
1012 1
 
2.4%
179 1
 
2.4%
248 1
 
2.4%
306 1
 
2.4%
348 1
 
2.4%
351 1
 
2.4%
468 1
 
2.4%
831 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
54 1
2.4%
91 1
2.4%
94 1
2.4%
102 1
2.4%
103 1
2.4%
105 1
2.4%
110 2
4.9%
114 1
2.4%
115 1
2.4%
122 1
2.4%
ValueCountFrequency (%)
1503 1
2.4%
1502 1
2.4%
1469 1
2.4%
1442 1
2.4%
1208 1
2.4%
1146 1
2.4%
1012 1
2.4%
917 1
2.4%
856 1
2.4%
831 1
2.4%

경찰
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.02439
Minimum4
Maximum515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:52.077172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q112
median25
Q361
95-th percentile453
Maximum515
Range511
Interquartile range (IQR)49

Descriptive statistics

Standard deviation145.94819
Coefficient of variation (CV)1.6033965
Kurtosis2.476628
Mean91.02439
Median Absolute Deviation (MAD)14
Skewness1.9444691
Sum3732
Variance21300.874
MonotonicityNot monotonic
2023-12-12T10:56:52.222115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
12 4
 
9.8%
10 4
 
9.8%
7 3
 
7.3%
28 2
 
4.9%
25 2
 
4.9%
24 1
 
2.4%
147 1
 
2.4%
218 1
 
2.4%
339 1
 
2.4%
405 1
 
2.4%
Other values (21) 21
51.2%
ValueCountFrequency (%)
4 1
 
2.4%
7 3
7.3%
10 4
9.8%
12 4
9.8%
13 1
 
2.4%
16 1
 
2.4%
18 1
 
2.4%
19 1
 
2.4%
20 1
 
2.4%
21 1
 
2.4%
ValueCountFrequency (%)
515 1
2.4%
479 1
2.4%
453 1
2.4%
405 1
2.4%
339 1
2.4%
314 1
2.4%
218 1
2.4%
148 1
2.4%
147 1
2.4%
72 1
2.4%

소방
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.268293
Minimum2
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:52.380040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median11
Q327
95-th percentile122
Maximum131
Range129
Interquartile range (IQR)20

Descriptive statistics

Standard deviation38.315157
Coefficient of variation (CV)1.3091012
Kurtosis1.4433055
Mean29.268293
Median Absolute Deviation (MAD)7
Skewness1.6612779
Sum1200
Variance1468.0512
MonotonicityNot monotonic
2023-12-12T10:56:52.534255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7 4
 
9.8%
3 3
 
7.3%
8 3
 
7.3%
4 3
 
7.3%
5 2
 
4.9%
13 2
 
4.9%
11 2
 
4.9%
9 2
 
4.9%
131 1
 
2.4%
122 1
 
2.4%
Other values (18) 18
43.9%
ValueCountFrequency (%)
2 1
 
2.4%
3 3
7.3%
4 3
7.3%
5 2
4.9%
6 1
 
2.4%
7 4
9.8%
8 3
7.3%
9 2
4.9%
11 2
4.9%
12 1
 
2.4%
ValueCountFrequency (%)
131 1
2.4%
128 1
2.4%
122 1
2.4%
99 1
2.4%
94 1
2.4%
93 1
2.4%
77 1
2.4%
64 1
2.4%
52 1
2.4%
35 1
2.4%

교육직
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.58537
Minimum27
Maximum1905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:52.686846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34
Q149
median97
Q3267
95-th percentile1106
Maximum1905
Range1878
Interquartile range (IQR)218

Descriptive statistics

Standard deviation436.16396
Coefficient of variation (CV)1.4134305
Kurtosis3.4024168
Mean308.58537
Median Absolute Deviation (MAD)58
Skewness1.9093922
Sum12652
Variance190239
MonotonicityNot monotonic
2023-12-12T10:56:52.863728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
47 3
 
7.3%
72 2
 
4.9%
49 2
 
4.9%
88 2
 
4.9%
163 2
 
4.9%
1021 1
 
2.4%
762 1
 
2.4%
1905 1
 
2.4%
757 1
 
2.4%
725 1
 
2.4%
Other values (25) 25
61.0%
ValueCountFrequency (%)
27 1
 
2.4%
33 1
 
2.4%
34 1
 
2.4%
36 1
 
2.4%
37 1
 
2.4%
39 1
 
2.4%
46 1
 
2.4%
47 3
7.3%
49 2
4.9%
54 1
 
2.4%
ValueCountFrequency (%)
1905 1
2.4%
1107 1
2.4%
1106 1
2.4%
1021 1
2.4%
1017 1
2.4%
1010 1
2.4%
762 1
2.4%
757 1
2.4%
725 1
2.4%
587 1
2.4%

법관검사
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4634146
Minimum0
Maximum20
Zeros3
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:53.046659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile16
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.1579917
Coefficient of variation (CV)0.94409669
Kurtosis0.85016272
Mean5.4634146
Median Absolute Deviation (MAD)3
Skewness1.2869146
Sum224
Variance26.604878
MonotonicityNot monotonic
2023-12-12T10:56:53.206026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 7
17.1%
1 6
14.6%
2 6
14.6%
0 3
7.3%
3 3
7.3%
6 3
7.3%
7 2
 
4.9%
8 2
 
4.9%
13 1
 
2.4%
5 1
 
2.4%
Other values (7) 7
17.1%
ValueCountFrequency (%)
0 3
7.3%
1 6
14.6%
2 6
14.6%
3 3
7.3%
4 7
17.1%
5 1
 
2.4%
6 3
7.3%
7 2
 
4.9%
8 2
 
4.9%
9 1
 
2.4%
ValueCountFrequency (%)
20 1
2.4%
17 1
2.4%
16 1
2.4%
15 1
2.4%
14 1
2.4%
13 1
2.4%
12 1
2.4%
9 1
2.4%
8 2
4.9%
7 2
4.9%

기능직
Categorical

Distinct5
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
0
29 
1
2
4
 
1
132
 
1

Length

Max length3
Median length1
Mean length1.0487805
Min length1

Unique

Unique2 ?
Unique (%)4.9%

Sample

1st row4
2nd row1
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 29
70.7%
1 7
 
17.1%
2 3
 
7.3%
4 1
 
2.4%
132 1
 
2.4%

Length

2023-12-12T10:56:53.381417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:56:53.513865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
70.7%
1 7
 
17.1%
2 3
 
7.3%
4 1
 
2.4%
132 1
 
2.4%

공안직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.292683
Minimum0
Maximum197
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:53.654341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median16
Q328
95-th percentile149
Maximum197
Range197
Interquartile range (IQR)19

Descriptive statistics

Standard deviation48.279521
Coefficient of variation (CV)1.4501541
Kurtosis5.1235458
Mean33.292683
Median Absolute Deviation (MAD)9
Skewness2.4421021
Sum1365
Variance2330.9122
MonotonicityNot monotonic
2023-12-12T10:56:53.808268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
19 4
 
9.8%
9 4
 
9.8%
7 3
 
7.3%
27 2
 
4.9%
21 2
 
4.9%
16 2
 
4.9%
15 2
 
4.9%
6 2
 
4.9%
5 2
 
4.9%
11 2
 
4.9%
Other values (16) 16
39.0%
ValueCountFrequency (%)
0 1
 
2.4%
3 1
 
2.4%
5 2
4.9%
6 2
4.9%
7 3
7.3%
8 1
 
2.4%
9 4
9.8%
11 2
4.9%
13 1
 
2.4%
14 1
 
2.4%
ValueCountFrequency (%)
197 1
2.4%
184 1
2.4%
149 1
2.4%
139 1
2.4%
97 1
2.4%
56 1
2.4%
42 1
2.4%
39 1
2.4%
31 1
2.4%
30 1
2.4%

군무원
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.829268
Minimum3
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:53.961531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q112
median24
Q357
95-th percentile93
Maximum242
Range239
Interquartile range (IQR)45

Descriptive statistics

Standard deviation44.100398
Coefficient of variation (CV)1.0801173
Kurtosis10.2238
Mean40.829268
Median Absolute Deviation (MAD)17
Skewness2.7272031
Sum1674
Variance1944.8451
MonotonicityNot monotonic
2023-12-12T10:56:54.097309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 3
 
7.3%
19 2
 
4.9%
74 2
 
4.9%
18 2
 
4.9%
46 1
 
2.4%
23 1
 
2.4%
25 1
 
2.4%
30 1
 
2.4%
24 1
 
2.4%
40 1
 
2.4%
Other values (26) 26
63.4%
ValueCountFrequency (%)
3 1
 
2.4%
4 1
 
2.4%
6 3
7.3%
7 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
13 1
 
2.4%
ValueCountFrequency (%)
242 1
2.4%
135 1
2.4%
93 1
2.4%
90 1
2.4%
84 1
2.4%
74 2
4.9%
66 1
2.4%
60 1
2.4%
59 1
2.4%
57 1
2.4%

연구직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6097561
Minimum0
Maximum39
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:54.229537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q313
95-th percentile29
Maximum39
Range39
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.3751748
Coefficient of variation (CV)0.97558926
Kurtosis2.516029
Mean9.6097561
Median Absolute Deviation (MAD)4
Skewness1.6832352
Sum394
Variance87.893902
MonotonicityNot monotonic
2023-12-12T10:56:54.361621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 6
14.6%
1 4
 
9.8%
7 3
 
7.3%
3 3
 
7.3%
13 3
 
7.3%
4 3
 
7.3%
2 2
 
4.9%
6 2
 
4.9%
8 2
 
4.9%
16 2
 
4.9%
Other values (11) 11
26.8%
ValueCountFrequency (%)
0 1
 
2.4%
1 4
9.8%
2 2
 
4.9%
3 3
7.3%
4 3
7.3%
5 6
14.6%
6 2
 
4.9%
7 3
7.3%
8 2
 
4.9%
9 1
 
2.4%
ValueCountFrequency (%)
39 1
 
2.4%
36 1
 
2.4%
29 1
 
2.4%
25 1
 
2.4%
23 1
 
2.4%
21 1
 
2.4%
16 2
4.9%
13 3
7.3%
12 1
 
2.4%
11 1
 
2.4%

지도직
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2195122
Minimum0
Maximum40
Zeros3
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:54.488020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile18
Maximum40
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.326364
Coefficient of variation (CV)1.4036492
Kurtosis12.438823
Mean5.2195122
Median Absolute Deviation (MAD)2
Skewness3.1738311
Sum214
Variance53.67561
MonotonicityNot monotonic
2023-12-12T10:56:54.631027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 11
26.8%
3 6
14.6%
2 4
 
9.8%
4 3
 
7.3%
5 3
 
7.3%
0 3
 
7.3%
6 3
 
7.3%
8 1
 
2.4%
7 1
 
2.4%
19 1
 
2.4%
Other values (5) 5
12.2%
ValueCountFrequency (%)
0 3
 
7.3%
1 11
26.8%
2 4
 
9.8%
3 6
14.6%
4 3
 
7.3%
5 3
 
7.3%
6 3
 
7.3%
7 1
 
2.4%
8 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
40 1
 
2.4%
19 1
 
2.4%
18 1
 
2.4%
17 1
 
2.4%
12 1
 
2.4%
11 1
 
2.4%
8 1
 
2.4%
7 1
 
2.4%
6 3
7.3%
5 3
7.3%

계약직
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.390244
Minimum2
Maximum596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:54.789154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q19
median22
Q365
95-th percentile427
Maximum596
Range594
Interquartile range (IQR)56

Descriptive statistics

Standard deviation138.8544
Coefficient of variation (CV)1.6853257
Kurtosis5.4456244
Mean82.390244
Median Absolute Deviation (MAD)16
Skewness2.4433765
Sum3378
Variance19280.544
MonotonicityNot monotonic
2023-12-12T10:56:54.950392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
9 4
 
9.8%
13 2
 
4.9%
7 2
 
4.9%
5 2
 
4.9%
53 2
 
4.9%
297 1
 
2.4%
16 1
 
2.4%
12 1
 
2.4%
11 1
 
2.4%
17 1
 
2.4%
Other values (24) 24
58.5%
ValueCountFrequency (%)
2 1
 
2.4%
3 1
 
2.4%
5 2
4.9%
7 2
4.9%
8 1
 
2.4%
9 4
9.8%
11 1
 
2.4%
12 1
 
2.4%
13 2
4.9%
16 1
 
2.4%
ValueCountFrequency (%)
596 1
2.4%
462 1
2.4%
427 1
2.4%
332 1
2.4%
297 1
2.4%
173 1
2.4%
128 1
2.4%
121 1
2.4%
93 1
2.4%
77 1
2.4%

공중보건의
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.414634
Minimum0
Maximum1021
Zeros32
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:55.135576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile72
Maximum1021
Range1021
Interquartile range (IQR)0

Descriptive statistics

Standard deviation159.53322
Coefficient of variation (CV)5.2452783
Kurtosis39.943438
Mean30.414634
Median Absolute Deviation (MAD)0
Skewness6.2869504
Sum1247
Variance25450.849
MonotonicityNot monotonic
2023-12-12T10:56:55.290634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 32
78.0%
5 2
 
4.9%
1 1
 
2.4%
6 1
 
2.4%
1021 1
 
2.4%
82 1
 
2.4%
25 1
 
2.4%
30 1
 
2.4%
72 1
 
2.4%
ValueCountFrequency (%)
0 32
78.0%
1 1
 
2.4%
5 2
 
4.9%
6 1
 
2.4%
25 1
 
2.4%
30 1
 
2.4%
72 1
 
2.4%
82 1
 
2.4%
1021 1
 
2.4%
ValueCountFrequency (%)
1021 1
 
2.4%
82 1
 
2.4%
72 1
 
2.4%
30 1
 
2.4%
25 1
 
2.4%
6 1
 
2.4%
5 2
 
4.9%
1 1
 
2.4%
0 32
78.0%

기타
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.82927
Minimum16
Maximum1413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:56:55.443380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile24
Q147
median74
Q3147
95-th percentile1046
Maximum1413
Range1397
Interquartile range (IQR)100

Descriptive statistics

Standard deviation334.12041
Coefficient of variation (CV)1.7417593
Kurtosis7.4422918
Mean191.82927
Median Absolute Deviation (MAD)43
Skewness2.8718937
Sum7865
Variance111636.45
MonotonicityNot monotonic
2023-12-12T10:56:55.600433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
151 2
 
4.9%
136 2
 
4.9%
92 2
 
4.9%
1413 1
 
2.4%
16 1
 
2.4%
27 1
 
2.4%
35 1
 
2.4%
57 1
 
2.4%
75 1
 
2.4%
95 1
 
2.4%
Other values (28) 28
68.3%
ValueCountFrequency (%)
16 1
2.4%
20 1
2.4%
24 1
2.4%
25 1
2.4%
27 1
2.4%
30 1
2.4%
31 1
2.4%
33 1
2.4%
35 1
2.4%
38 1
2.4%
ValueCountFrequency (%)
1413 1
2.4%
1328 1
2.4%
1046 1
2.4%
812 1
2.4%
343 1
2.4%
262 1
2.4%
165 1
2.4%
164 1
2.4%
151 2
4.9%
147 1
2.4%

Interactions

2023-12-12T10:56:47.971133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:22.516899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.473900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.631021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.386699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.148145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.874737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.886685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.514685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.283443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.222648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.824294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.593286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.300137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.221772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.078315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:22.624716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.599159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.743946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.490114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.247975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.975094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.977266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.626607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.382137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.321505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.926935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.692231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.406876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.340677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.203835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:22.735735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.719743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.859964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.595522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.362314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:32.095924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.075948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.741170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.498017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.408136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.031899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.784982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.530832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.474027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.324398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:22.861591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.849145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.972643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.713622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.467524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:32.202558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.208583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.871476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.628357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.519497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.144664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.888570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.627656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.606217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.431765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:22.999044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.967490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.146103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.832516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.597194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:32.643639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.313971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.007513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.740723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.615330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.272141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.992884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.751173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.747535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.527956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:23.123887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:25.080851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.266894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.936443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.717936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:32.760393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.400646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.112921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.832631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.716970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.400988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.118562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.864000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.831346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.627496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:23.271373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:25.542868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.363842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.090316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.854023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:32.858908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.493760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.237283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.939852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.821505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.524106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.221680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.966055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.932128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.721708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:23.429771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:25.650213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.477637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.213834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.951412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:32.992183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.617337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.370710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:38.026082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.928320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.639729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.332891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:45.365500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.033745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.828701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:23.576973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:25.776269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.577881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.342873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.088025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.101796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.735494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.491243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:38.146290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.039259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.765148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.449988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:45.485214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.140681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.948029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:23.706945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:25.891080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.699788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.462763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.204690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.226226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.862702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.611692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:38.289545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.152250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:41.907757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.559131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:45.615757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.246878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:49.038523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:23.854076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:25.992297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.818558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.576251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.311237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.349399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:34.971271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.714679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:38.390087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.257236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.022791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.658263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:45.707421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.351877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:49.144468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:23.986569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.120056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:27.938616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.717553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.416378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.470124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.076109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.843032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:38.501284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.376323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.143056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.766527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:45.826496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.500614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:49.245299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.111276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.241764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.048945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.838714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.541641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.580175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.183098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:36.963472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:38.885489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.484576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.245221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:43.900120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:45.942887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.621515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:49.363676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.226864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.368979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.165788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:29.938235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.655565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.682389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.291869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.069207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:38.991662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.597863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.361946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.020317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.034821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.752237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:49.457552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:24.357786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:26.480282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:28.274337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:30.033422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:31.758958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:33.770858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:35.392006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:37.179618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:39.100062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:40.715446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:42.469903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:44.157003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:46.121336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:47.855705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:56:55.762411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분정무직별정직일반직경찰소방교육직법관검사기능직공안직군무원연구직지도직계약직공중보건의기타
구분1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
1.0001.0000.8180.7810.9320.8030.8150.8740.0000.2980.8330.8220.9290.7160.5930.0000.797
정무직1.0000.8181.0000.6880.7970.7200.6550.7120.0000.0000.8880.8870.8530.2900.4440.4890.861
별정직1.0000.7810.6881.0000.7110.0000.0000.0000.0000.6190.0000.9030.4750.0000.9020.8400.965
일반직1.0000.9320.7970.7111.0000.7630.7420.8590.0000.0000.8850.7850.8940.6490.4790.0000.789
경찰1.0000.8030.7200.0000.7631.0000.9180.8820.0000.0000.8620.5590.8280.7990.0000.0000.000
소방1.0000.8150.6550.0000.7420.9181.0000.8480.0000.0000.8280.5590.6790.7830.0000.0000.000
교육직1.0000.8740.7120.0000.8590.8820.8481.0000.0000.0000.9490.6190.7880.9410.0000.0000.000
법관검사1.0000.0000.0000.0000.0000.0000.0000.0001.0000.3580.0000.0000.0000.0000.0000.0000.000
기능직1.0000.2980.0000.6190.0000.0000.0000.0000.3581.0000.0000.6040.0000.0000.6180.1330.363
공안직1.0000.8330.8880.0000.8850.8620.8280.9490.0000.0001.0000.7800.8800.7060.0000.0000.690
군무원1.0000.8220.8870.9030.7850.5590.5590.6190.0000.6040.7801.0000.5060.7920.7100.0000.865
연구직1.0000.9290.8530.4750.8940.8280.6790.7880.0000.0000.8800.5061.0000.6040.0000.5980.573
지도직1.0000.7160.2900.0000.6490.7990.7830.9410.0000.0000.7060.7920.6041.0000.0000.0000.000
계약직1.0000.5930.4440.9020.4790.0000.0000.0000.0000.6180.0000.7100.0000.0001.0001.0000.851
공중보건의1.0000.0000.4890.8400.0000.0000.0000.0000.0000.1330.0000.0000.5980.0001.0001.0001.000
기타1.0000.7970.8610.9650.7890.0000.0000.0000.0000.3630.6900.8650.5730.0000.8511.0001.000
2023-12-12T10:56:55.957334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정무직별정직일반직경찰소방교육직법관검사공안직군무원연구직지도직계약직공중보건의기타기능직
1.0000.716-0.0090.9490.8460.8150.772-0.5350.7120.8080.6490.732-0.0720.2760.7660.189
정무직0.7161.0000.2010.6690.5760.6780.504-0.4850.7470.5630.6370.5030.1070.2510.7640.000
별정직-0.0090.2011.000-0.215-0.346-0.179-0.483-0.3360.020-0.0670.051-0.4150.9220.6930.4840.470
일반직0.9490.669-0.2151.0000.8990.8520.862-0.4510.7410.7950.6830.797-0.2780.0900.6360.000
경찰0.8460.576-0.3460.8991.0000.8480.814-0.3650.6680.7570.6320.758-0.400-0.0010.4990.000
소방0.8150.678-0.1790.8520.8481.0000.767-0.3470.7860.7850.7380.641-0.2530.0580.5730.000
교육직0.7720.504-0.4830.8620.8140.7671.000-0.1740.6050.7120.5210.889-0.544-0.2390.3180.000
법관검사-0.535-0.485-0.336-0.451-0.365-0.347-0.1741.000-0.303-0.412-0.276-0.213-0.316-0.424-0.7220.078
공안직0.7120.7470.0200.7410.6680.7860.605-0.3031.0000.6640.7560.589-0.0720.1760.5750.000
군무원0.8080.563-0.0670.7950.7570.7850.712-0.4120.6641.0000.5290.682-0.1360.1440.5650.454
연구직0.6490.6370.0510.6830.6320.7380.521-0.2760.7560.5291.0000.4540.0440.1960.5710.000
지도직0.7320.503-0.4150.7970.7580.6410.889-0.2130.5890.6820.4541.000-0.488-0.1950.3180.000
계약직-0.0720.1070.922-0.278-0.400-0.253-0.544-0.316-0.072-0.1360.044-0.4881.0000.6920.4040.442
공중보건의0.2760.2510.6930.090-0.0010.058-0.239-0.4240.1760.1440.196-0.1950.6921.0000.6100.148
기타0.7660.7640.4840.6360.4990.5730.318-0.7220.5750.5650.5710.3180.4040.6101.0000.246
기능직0.1890.0000.4700.0000.0000.0000.0000.0780.0000.4540.0000.0000.4420.1480.2461.000

Missing values

2023-12-12T10:56:49.616940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:56:49.909950image/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

구분정무직별정직일반직경찰소방교육직법관검사기능직공안직군무원연구직지도직계약직공중보건의기타
01년미만3123314885624277204272427229711413
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구분정무직별정직일반직경찰소방교육직법관검사기능직공안직군무원연구직지도직계약직공중보건의기타
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