Overview

Dataset statistics

Number of variables17
Number of observations37
Missing cells86
Missing cells (%)13.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory155.6 B

Variable types

Text1
Numeric15
Unsupported1

Dataset

Description사립학교교직원연금공단 사학연금수급자 현황(퇴직연금수급자 연금지급개시연령)과 관련된 데이터로 연령, 학교급별 (유치원, 초등학교, 중학교, 고등학교, 전문대학, 대학, 특수학교, 학교경영기관), 교직원별(교원, 사무직원) 연금지급개시연령 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15045821/fileData.do

Alerts

유치원 교원(명) is highly overall correlated with 유치원 사무직원(명) and 3 other fieldsHigh correlation
유치원 사무직원(명) is highly overall correlated with 유치원 교원(명) and 12 other fieldsHigh correlation
초등학교 교원(명) is highly overall correlated with 유치원 사무직원(명) and 12 other fieldsHigh correlation
초등학교 사무직원(명) is highly overall correlated with 유치원 사무직원(명) and 12 other fieldsHigh correlation
중학교 교원(명) is highly overall correlated with 유치원 교원(명) and 13 other fieldsHigh correlation
중학교 사무직원(명) is highly overall correlated with 유치원 사무직원(명) and 11 other fieldsHigh correlation
고등학교 교원(명) is highly overall correlated with 유치원 사무직원(명) and 12 other fieldsHigh correlation
고등학교 사무직원(명) is highly overall correlated with 유치원 사무직원(명) and 12 other fieldsHigh correlation
전문대학 교원(명) is highly overall correlated with 유치원 교원(명) and 12 other fieldsHigh correlation
전문대학 사무직원(명) is highly overall correlated with 유치원 사무직원(명) and 11 other fieldsHigh correlation
대학 교원(명) is highly overall correlated with 유치원 교원(명) and 9 other fieldsHigh correlation
대학 사무직원(명) is highly overall correlated with 유치원 사무직원(명) and 11 other fieldsHigh correlation
특수학교 교원(명) is highly overall correlated with 유치원 사무직원(명) and 12 other fieldsHigh correlation
특수학교 사무직원(명) is highly overall correlated with 초등학교 교원(명) and 9 other fieldsHigh correlation
학교경영기관 사무직원(명) is highly overall correlated with 유치원 사무직원(명) and 12 other fieldsHigh correlation
유치원 교원(명) has 6 (16.2%) missing valuesMissing
유치원 사무직원(명) has 19 (51.4%) missing valuesMissing
초등학교 교원(명) has 2 (5.4%) missing valuesMissing
초등학교 사무직원(명) has 7 (18.9%) missing valuesMissing
전문대학 교원(명) has 2 (5.4%) missing valuesMissing
특수학교 교원(명) has 1 (2.7%) missing valuesMissing
특수학교 사무직원(명) has 11 (29.7%) missing valuesMissing
학교경영기관 교원(명) has 37 (100.0%) missing valuesMissing
학교경영기관 사무직원(명) has 1 (2.7%) missing valuesMissing
연령 has unique valuesUnique
학교경영기관 교원(명) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:17:31.694681
Analysis finished2023-12-12 07:17:54.796262
Duration23.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연령
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T16:17:54.919541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters222
Distinct characters16
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

Unique37 ?
Unique (%)100.0%

Sample

1st row40세 미만
2nd row41세 미만
3rd row42세 미만
4th row43세 미만
5th row44세 미만
ValueCountFrequency (%)
미만 36
48.6%
75세 2
 
2.7%
40세 1
 
1.4%
66세 1
 
1.4%
60세 1
 
1.4%
61세 1
 
1.4%
62세 1
 
1.4%
63세 1
 
1.4%
64세 1
 
1.4%
65세 1
 
1.4%
Other values (28) 28
37.8%
2023-12-12T16:17:55.279245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
16.7%
37
16.7%
36
16.2%
36
16.2%
5 15
6.8%
4 14
 
6.3%
6 13
 
5.9%
7 10
 
4.5%
0 4
 
1.8%
1 4
 
1.8%
Other values (6) 16
7.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
50.0%
Decimal Number 74
33.3%
Space Separator 37
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 15
20.3%
4 14
18.9%
6 13
17.6%
7 10
13.5%
0 4
 
5.4%
1 4
 
5.4%
2 4
 
5.4%
3 4
 
5.4%
8 3
 
4.1%
9 3
 
4.1%
Other Letter
ValueCountFrequency (%)
37
33.3%
36
32.4%
36
32.4%
1
 
0.9%
1
 
0.9%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
50.0%
Common 111
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
37
33.3%
5 15
13.5%
4 14
 
12.6%
6 13
 
11.7%
7 10
 
9.0%
0 4
 
3.6%
1 4
 
3.6%
2 4
 
3.6%
3 4
 
3.6%
8 3
 
2.7%
Hangul
ValueCountFrequency (%)
37
33.3%
36
32.4%
36
32.4%
1
 
0.9%
1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
50.0%
ASCII 111
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
33.3%
36
32.4%
36
32.4%
1
 
0.9%
1
 
0.9%
ASCII
ValueCountFrequency (%)
37
33.3%
5 15
13.5%
4 14
 
12.6%
6 13
 
11.7%
7 10
 
9.0%
0 4
 
3.6%
1 4
 
3.6%
2 4
 
3.6%
3 4
 
3.6%
8 3
 
2.7%

유치원 교원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)71.0%
Missing6
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean26.709677
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:55.405756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median15
Q321.5
95-th percentile125
Maximum148
Range147
Interquartile range (IQR)17

Descriptive statistics

Standard deviation38.528079
Coefficient of variation (CV)1.4424764
Kurtosis4.2709048
Mean26.709677
Median Absolute Deviation (MAD)10
Skewness2.2341828
Sum828
Variance1484.4129
MonotonicityNot monotonic
2023-12-12T16:17:55.546710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 3
 
8.1%
18 3
 
8.1%
1 3
 
8.1%
3 3
 
8.1%
17 2
 
5.4%
2 1
 
2.7%
45 1
 
2.7%
7 1
 
2.7%
9 1
 
2.7%
16 1
 
2.7%
Other values (12) 12
32.4%
(Missing) 6
16.2%
ValueCountFrequency (%)
1 3
8.1%
2 1
 
2.7%
3 3
8.1%
4 1
 
2.7%
5 3
8.1%
7 1
 
2.7%
9 1
 
2.7%
11 1
 
2.7%
12 1
 
2.7%
15 1
 
2.7%
ValueCountFrequency (%)
148 1
 
2.7%
129 1
 
2.7%
121 1
 
2.7%
60 1
 
2.7%
56 1
 
2.7%
45 1
 
2.7%
35 1
 
2.7%
22 1
 
2.7%
21 1
 
2.7%
18 3
8.1%

유치원 사무직원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)55.6%
Missing19
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean19.111111
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:55.698394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4.5
Q310.75
95-th percentile93.45
Maximum113
Range112
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation34.220546
Coefficient of variation (CV)1.79061
Kurtosis3.1790352
Mean19.111111
Median Absolute Deviation (MAD)3
Skewness2.0956338
Sum344
Variance1171.0458
MonotonicityNot monotonic
2023-12-12T16:17:55.843959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 4
 
10.8%
1 3
 
8.1%
5 3
 
8.1%
4 2
 
5.4%
10 1
 
2.7%
11 1
 
2.7%
113 1
 
2.7%
90 1
 
2.7%
71 1
 
2.7%
15 1
 
2.7%
(Missing) 19
51.4%
ValueCountFrequency (%)
1 3
8.1%
2 4
10.8%
4 2
5.4%
5 3
8.1%
10 1
 
2.7%
11 1
 
2.7%
15 1
 
2.7%
71 1
 
2.7%
90 1
 
2.7%
113 1
 
2.7%
ValueCountFrequency (%)
113 1
 
2.7%
90 1
 
2.7%
71 1
 
2.7%
15 1
 
2.7%
11 1
 
2.7%
10 1
 
2.7%
5 3
8.1%
4 2
5.4%
2 4
10.8%
1 3
8.1%

초등학교 교원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)60.0%
Missing2
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean23.428571
Minimum1
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:56.005413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q325.5
95-th percentile74.3
Maximum245
Range244
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation44.42064
Coefficient of variation (CV)1.8960029
Kurtosis18.859161
Mean23.428571
Median Absolute Deviation (MAD)6
Skewness4.0312624
Sum820
Variance1973.1933
MonotonicityNot monotonic
2023-12-12T16:17:56.152191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6 4
 
10.8%
3 4
 
10.8%
8 4
 
10.8%
1 3
 
8.1%
2 3
 
8.1%
4 2
 
5.4%
13 1
 
2.7%
27 1
 
2.7%
36 1
 
2.7%
42 1
 
2.7%
Other values (11) 11
29.7%
(Missing) 2
 
5.4%
ValueCountFrequency (%)
1 3
8.1%
2 3
8.1%
3 4
10.8%
4 2
5.4%
6 4
10.8%
7 1
 
2.7%
8 4
10.8%
9 1
 
2.7%
13 1
 
2.7%
15 1
 
2.7%
ValueCountFrequency (%)
245 1
2.7%
103 1
2.7%
62 1
2.7%
50 1
2.7%
49 1
2.7%
42 1
2.7%
36 1
2.7%
35 1
2.7%
27 1
2.7%
24 1
2.7%

초등학교 사무직원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)33.3%
Missing7
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean7.2333333
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:56.284511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile35.05
Maximum55
Range54
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.907318
Coefficient of variation (CV)1.7844218
Kurtosis6.9458177
Mean7.2333333
Median Absolute Deviation (MAD)2
Skewness2.704974
Sum217
Variance166.59885
MonotonicityNot monotonic
2023-12-12T16:17:56.416933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 11
29.7%
3 6
16.2%
2 3
 
8.1%
4 3
 
8.1%
7 2
 
5.4%
6 1
 
2.7%
26 1
 
2.7%
29 1
 
2.7%
55 1
 
2.7%
40 1
 
2.7%
(Missing) 7
18.9%
ValueCountFrequency (%)
1 11
29.7%
2 3
 
8.1%
3 6
16.2%
4 3
 
8.1%
6 1
 
2.7%
7 2
 
5.4%
26 1
 
2.7%
29 1
 
2.7%
40 1
 
2.7%
55 1
 
2.7%
ValueCountFrequency (%)
55 1
 
2.7%
40 1
 
2.7%
29 1
 
2.7%
26 1
 
2.7%
7 2
 
5.4%
6 1
 
2.7%
4 3
 
8.1%
3 6
16.2%
2 3
 
8.1%
1 11
29.7%

중학교 교원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.02703
Minimum3
Maximum3714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:56.555361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15.8
Q156
median94
Q3445
95-th percentile1487.6
Maximum3714
Range3711
Interquartile range (IQR)389

Descriptive statistics

Standard deviation709.82508
Coefficient of variation (CV)1.735399
Kurtosis12.776802
Mean409.02703
Median Absolute Deviation (MAD)67
Skewness3.2302809
Sum15134
Variance503851.64
MonotonicityNot monotonic
2023-12-12T16:17:56.713419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
56 2
 
5.4%
27 1
 
2.7%
117 1
 
2.7%
1248 1
 
2.7%
1443 1
 
2.7%
3714 1
 
2.7%
1666 1
 
2.7%
165 1
 
2.7%
261 1
 
2.7%
47 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
3 1
2.7%
7 1
2.7%
18 1
2.7%
27 1
2.7%
32 1
2.7%
43 1
2.7%
47 1
2.7%
48 1
2.7%
49 1
2.7%
56 2
5.4%
ValueCountFrequency (%)
3714 1
2.7%
1666 1
2.7%
1443 1
2.7%
1248 1
2.7%
1029 1
2.7%
1002 1
2.7%
848 1
2.7%
644 1
2.7%
563 1
2.7%
445 1
2.7%

중학교 사무직원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.972973
Minimum1
Maximum294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:56.908664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median9
Q329
95-th percentile216.8
Maximum294
Range293
Interquartile range (IQR)24

Descriptive statistics

Standard deviation72.419874
Coefficient of variation (CV)1.811721
Kurtosis5.0438849
Mean39.972973
Median Absolute Deviation (MAD)6
Skewness2.4368161
Sum1479
Variance5244.6381
MonotonicityNot monotonic
2023-12-12T16:17:57.033589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4 3
 
8.1%
3 3
 
8.1%
7 3
 
8.1%
9 3
 
8.1%
11 2
 
5.4%
6 2
 
5.4%
5 2
 
5.4%
2 2
 
5.4%
228 1
 
2.7%
56 1
 
2.7%
Other values (15) 15
40.5%
ValueCountFrequency (%)
1 1
 
2.7%
2 2
5.4%
3 3
8.1%
4 3
8.1%
5 2
5.4%
6 2
5.4%
7 3
8.1%
9 3
8.1%
10 1
 
2.7%
11 2
5.4%
ValueCountFrequency (%)
294 1
2.7%
228 1
2.7%
214 1
2.7%
194 1
2.7%
119 1
2.7%
56 1
2.7%
53 1
2.7%
35 1
2.7%
31 1
2.7%
29 1
2.7%

고등학교 교원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean925.94595
Minimum8
Maximum8973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:57.186336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile24.4
Q1102
median198
Q3955
95-th percentile3517.2
Maximum8973
Range8965
Interquartile range (IQR)853

Descriptive statistics

Standard deviation1719.7555
Coefficient of variation (CV)1.8572957
Kurtosis13.115905
Mean925.94595
Median Absolute Deviation (MAD)128
Skewness3.2979713
Sum34260
Variance2957558.8
MonotonicityNot monotonic
2023-12-12T16:17:57.337817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
107 2
 
5.4%
101 2
 
5.4%
201 1
 
2.7%
3001 1
 
2.7%
3384 1
 
2.7%
8973 1
 
2.7%
4050 1
 
2.7%
242 1
 
2.7%
343 1
 
2.7%
62 1
 
2.7%
Other values (25) 25
67.6%
ValueCountFrequency (%)
8 1
2.7%
14 1
2.7%
27 1
2.7%
62 1
2.7%
70 1
2.7%
87 1
2.7%
96 1
2.7%
101 2
5.4%
102 1
2.7%
107 2
5.4%
ValueCountFrequency (%)
8973 1
2.7%
4050 1
2.7%
3384 1
2.7%
3001 1
2.7%
2550 1
2.7%
2433 1
2.7%
1806 1
2.7%
1322 1
2.7%
998 1
2.7%
955 1
2.7%

고등학교 사무직원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.86486
Minimum3
Maximum990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:57.516849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.6
Q112
median22
Q371
95-th percentile438
Maximum990
Range987
Interquartile range (IQR)59

Descriptive statistics

Standard deviation210.68818
Coefficient of variation (CV)2.0888164
Kurtosis11.053698
Mean100.86486
Median Absolute Deviation (MAD)12
Skewness3.292293
Sum3732
Variance44389.509
MonotonicityNot monotonic
2023-12-12T16:17:57.988021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11 3
 
8.1%
18 2
 
5.4%
20 2
 
5.4%
30 2
 
5.4%
9 2
 
5.4%
14 1
 
2.7%
13 1
 
2.7%
12 1
 
2.7%
350 1
 
2.7%
122 1
 
2.7%
Other values (21) 21
56.8%
ValueCountFrequency (%)
3 1
 
2.7%
4 1
 
2.7%
6 1
 
2.7%
9 2
5.4%
10 1
 
2.7%
11 3
8.1%
12 1
 
2.7%
13 1
 
2.7%
14 1
 
2.7%
15 1
 
2.7%
ValueCountFrequency (%)
990 1
2.7%
790 1
2.7%
350 1
2.7%
341 1
2.7%
267 1
2.7%
122 1
2.7%
111 1
2.7%
85 1
2.7%
81 1
2.7%
71 1
2.7%

전문대학 교원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct28
Distinct (%)80.0%
Missing2
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean190.71429
Minimum1
Maximum2308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:58.111547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.8
Q118.5
median35
Q3204.5
95-th percentile623.8
Maximum2308
Range2307
Interquartile range (IQR)186

Descriptive statistics

Standard deviation420.53443
Coefficient of variation (CV)2.2050495
Kurtosis19.864193
Mean190.71429
Median Absolute Deviation (MAD)28
Skewness4.2044294
Sum6675
Variance176849.21
MonotonicityNot monotonic
2023-12-12T16:17:58.247599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
21 3
 
8.1%
20 2
 
5.4%
11 2
 
5.4%
17 2
 
5.4%
35 2
 
5.4%
27 2
 
5.4%
8 1
 
2.7%
7 1
 
2.7%
136 1
 
2.7%
2 1
 
2.7%
Other values (18) 18
48.6%
(Missing) 2
 
5.4%
ValueCountFrequency (%)
1 1
 
2.7%
2 1
 
2.7%
6 1
 
2.7%
7 1
 
2.7%
8 1
 
2.7%
11 2
5.4%
17 2
5.4%
20 2
5.4%
21 3
8.1%
27 2
5.4%
ValueCountFrequency (%)
2308 1
2.7%
1034 1
2.7%
448 1
2.7%
430 1
2.7%
387 1
2.7%
313 1
2.7%
232 1
2.7%
229 1
2.7%
223 1
2.7%
186 1
2.7%

전문대학 사무직원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.513514
Minimum2
Maximum456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:58.363991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.8
Q17
median17
Q376
95-th percentile260
Maximum456
Range454
Interquartile range (IQR)69

Descriptive statistics

Standard deviation100.98889
Coefficient of variation (CV)1.5900379
Kurtosis6.5238711
Mean63.513514
Median Absolute Deviation (MAD)12
Skewness2.4935168
Sum2350
Variance10198.757
MonotonicityNot monotonic
2023-12-12T16:17:58.487380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5 4
 
10.8%
76 2
 
5.4%
6 2
 
5.4%
17 2
 
5.4%
10 2
 
5.4%
19 2
 
5.4%
14 1
 
2.7%
336 1
 
2.7%
11 1
 
2.7%
9 1
 
2.7%
Other values (19) 19
51.4%
ValueCountFrequency (%)
2 1
 
2.7%
3 1
 
2.7%
4 1
 
2.7%
5 4
10.8%
6 2
5.4%
7 1
 
2.7%
8 1
 
2.7%
9 1
 
2.7%
10 2
5.4%
11 1
 
2.7%
ValueCountFrequency (%)
456 1
2.7%
336 1
2.7%
241 1
2.7%
212 1
2.7%
148 1
2.7%
140 1
2.7%
137 1
2.7%
82 1
2.7%
76 2
5.4%
68 1
2.7%

대학 교원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean628.18919
Minimum5
Maximum11433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:58.605955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.8
Q130
median88
Q3295
95-th percentile1755.8
Maximum11433
Range11428
Interquartile range (IQR)265

Descriptive statistics

Standard deviation2027.4526
Coefficient of variation (CV)3.2274554
Kurtosis24.184127
Mean628.18919
Median Absolute Deviation (MAD)71
Skewness4.800182
Sum23243
Variance4110564
MonotonicityNot monotonic
2023-12-12T16:17:58.755203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
10 2
 
5.4%
30 2
 
5.4%
91 2
 
5.4%
53 1
 
2.7%
100 1
 
2.7%
745 1
 
2.7%
608 1
 
2.7%
620 1
 
2.7%
11433 1
 
2.7%
5359 1
 
2.7%
Other values (24) 24
64.9%
ValueCountFrequency (%)
5 1
2.7%
7 1
2.7%
8 1
2.7%
10 2
5.4%
14 1
2.7%
17 1
2.7%
18 1
2.7%
30 2
5.4%
31 1
2.7%
53 1
2.7%
ValueCountFrequency (%)
11433 1
2.7%
5359 1
2.7%
855 1
2.7%
745 1
2.7%
620 1
2.7%
608 1
2.7%
607 1
2.7%
590 1
2.7%
313 1
2.7%
295 1
2.7%

대학 사무직원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356.2973
Minimum19
Maximum2376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:58.874450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile27.2
Q137
median63
Q3386
95-th percentile1772
Maximum2376
Range2357
Interquartile range (IQR)349

Descriptive statistics

Standard deviation574.36883
Coefficient of variation (CV)1.6120493
Kurtosis4.4814718
Mean356.2973
Median Absolute Deviation (MAD)39
Skewness2.2173236
Sum13183
Variance329899.55
MonotonicityNot monotonic
2023-12-12T16:17:58.991546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
32 2
 
5.4%
28 2
 
5.4%
37 2
 
5.4%
34 2
 
5.4%
56 1
 
2.7%
63 1
 
2.7%
1106 1
 
2.7%
2376 1
 
2.7%
1770 1
 
2.7%
547 1
 
2.7%
Other values (23) 23
62.2%
ValueCountFrequency (%)
19 1
2.7%
24 1
2.7%
28 2
5.4%
29 1
2.7%
32 2
5.4%
34 2
5.4%
37 2
5.4%
41 1
2.7%
43 1
2.7%
46 1
2.7%
ValueCountFrequency (%)
2376 1
2.7%
1780 1
2.7%
1770 1
2.7%
1127 1
2.7%
1106 1
2.7%
857 1
2.7%
656 1
2.7%
547 1
2.7%
458 1
2.7%
386 1
2.7%

특수학교 교원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct19
Distinct (%)52.8%
Missing1
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean24.361111
Minimum1
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:59.101526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q328.5
95-th percentile82.5
Maximum205
Range204
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation40.81117
Coefficient of variation (CV)1.675259
Kurtosis10.40595
Mean24.361111
Median Absolute Deviation (MAD)4
Skewness2.8885661
Sum877
Variance1665.5516
MonotonicityNot monotonic
2023-12-12T16:17:59.245787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 7
18.9%
1 6
16.2%
5 3
 
8.1%
3 3
 
8.1%
6 2
 
5.4%
64 2
 
5.4%
70 1
 
2.7%
22 1
 
2.7%
99 1
 
2.7%
205 1
 
2.7%
Other values (9) 9
24.3%
ValueCountFrequency (%)
1 6
16.2%
2 7
18.9%
3 3
8.1%
4 1
 
2.7%
5 3
8.1%
6 2
 
5.4%
14 1
 
2.7%
19 1
 
2.7%
20 1
 
2.7%
22 1
 
2.7%
ValueCountFrequency (%)
205 1
2.7%
99 1
2.7%
77 1
2.7%
70 1
2.7%
64 2
5.4%
55 1
2.7%
48 1
2.7%
33 1
2.7%
27 1
2.7%
22 1
2.7%

특수학교 사무직원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)42.3%
Missing11
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean12.307692
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:59.403907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3
Q35.5
95-th percentile69
Maximum124
Range123
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation28.137902
Coefficient of variation (CV)2.2862046
Kurtosis11.281109
Mean12.307692
Median Absolute Deviation (MAD)2
Skewness3.3628411
Sum320
Variance791.74154
MonotonicityNot monotonic
2023-12-12T16:17:59.538019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 7
18.9%
3 5
13.5%
2 5
13.5%
4 2
 
5.4%
7 1
 
2.7%
6 1
 
2.7%
18 1
 
2.7%
27 1
 
2.7%
15 1
 
2.7%
124 1
 
2.7%
(Missing) 11
29.7%
ValueCountFrequency (%)
1 7
18.9%
2 5
13.5%
3 5
13.5%
4 2
 
5.4%
6 1
 
2.7%
7 1
 
2.7%
15 1
 
2.7%
18 1
 
2.7%
27 1
 
2.7%
83 1
 
2.7%
ValueCountFrequency (%)
124 1
 
2.7%
83 1
 
2.7%
27 1
 
2.7%
18 1
 
2.7%
15 1
 
2.7%
7 1
 
2.7%
6 1
 
2.7%
4 2
 
5.4%
3 5
13.5%
2 5
13.5%

학교경영기관 교원(명)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

학교경영기관 사무직원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)47.2%
Missing1
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean14.111111
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T16:17:59.656126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q317.5
95-th percentile47.75
Maximum104
Range103
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation22.494161
Coefficient of variation (CV)1.5940744
Kurtosis9.0211191
Mean14.111111
Median Absolute Deviation (MAD)3
Skewness2.8958233
Sum508
Variance505.9873
MonotonicityNot monotonic
2023-12-12T16:17:59.814054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 8
21.6%
1 4
10.8%
6 3
 
8.1%
4 3
 
8.1%
5 3
 
8.1%
3 2
 
5.4%
16 2
 
5.4%
31 2
 
5.4%
104 1
 
2.7%
28 1
 
2.7%
Other values (7) 7
18.9%
ValueCountFrequency (%)
1 4
10.8%
2 8
21.6%
3 2
 
5.4%
4 3
 
8.1%
5 3
 
8.1%
6 3
 
8.1%
7 1
 
2.7%
10 1
 
2.7%
16 2
 
5.4%
22 1
 
2.7%
ValueCountFrequency (%)
104 1
2.7%
86 1
2.7%
35 1
2.7%
31 2
5.4%
28 1
2.7%
27 1
2.7%
24 1
2.7%
22 1
2.7%
16 2
5.4%
10 1
2.7%

Interactions

2023-12-12T16:17:52.826359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.343112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.685797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.086033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.603348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.796943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.713481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.080311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.352036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.761168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.204774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.465288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.038261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.503677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:51.045449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.910235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.422364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.796324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.202070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.684108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.889416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.832810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.165958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.449376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.865957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.284089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.577316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.145309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.614909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:51.448624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.992546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.499637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.889804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.296805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.750513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:38.039021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.918447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.259503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.524630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.959424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.360768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.657315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.240794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.707337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:51.550314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.083519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.574932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.980553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.390181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.819434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:38.122141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.002638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.359483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.621875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.040376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.437216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.749085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.339897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.811997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:51.707933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.175891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.653204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.078970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.479692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.892870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:38.205217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.096190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.442467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.737104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.122526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.528774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.833198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.427969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.922833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:51.826552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.301970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.730913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.181000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.565238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.976171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:38.616734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.180348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.530802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.860533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.202932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.629795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.933884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.537330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.074132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:51.951018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.415641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.806977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.271930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.645970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.055829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:38.714914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.262173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.608179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.965199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.278555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.722276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.024341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.637735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.181981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.049551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.496377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.874641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.346655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.782618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.130993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:38.819378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.343968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.683197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.057255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.348236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.857325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.101230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.742220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.286437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.128542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.568847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:32.957200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.435171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:35.939004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.205329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:38.922537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.428969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.763808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.147652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.443879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.944143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.196940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.829802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.392009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.214887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.673795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.040612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.535240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.060900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.278675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.052598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.506507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.836503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.237715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.508885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.016602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.288346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.905247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.484034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.294128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.777604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.139008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.612414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.167597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.362555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.173262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.581605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.917007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.315825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.577398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.083629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.398347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:48.989830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.562819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.380514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.869208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.233073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.717173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.273912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.446961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.284032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.671831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:41.994493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.412066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.897774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.161644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.495473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.088215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.651209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.471956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:53.960056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.317893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.792970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.364317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.516531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.383307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.765760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.066328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.490128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:44.964123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.230422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.611021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.169542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.746988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.545141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:54.070361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.461915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.886891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.454128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.606678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.508456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.880787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.156534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.594840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.042869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.310953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.788510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.301473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.870025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.635621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:54.167351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:33.580023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:34.986357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:36.530843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:37.698410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:39.611488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:40.971532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:42.258204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:43.682827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:45.119739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:46.390416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:47.933928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:49.415999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:50.961069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:17:52.734532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:17:59.936220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령유치원 교원(명)유치원 사무직원(명)초등학교 교원(명)초등학교 사무직원(명)중학교 교원(명)중학교 사무직원(명)고등학교 교원(명)고등학교 사무직원(명)전문대학 교원(명)전문대학 사무직원(명)대학 교원(명)대학 사무직원(명)특수학교 교원(명)특수학교 사무직원(명)학교경영기관 사무직원(명)
연령1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원 교원(명)1.0001.0000.8590.7770.5310.7640.3670.7640.5970.8060.5720.7010.7110.7320.6570.645
유치원 사무직원(명)1.0000.8591.0000.9890.6820.8800.5250.8800.7040.5020.7340.0000.6540.8310.9150.743
초등학교 교원(명)1.0000.7770.9891.0000.6340.9150.5250.9150.6970.3710.6930.0000.6860.9260.7980.634
초등학교 사무직원(명)1.0000.5310.6820.6341.0000.8840.9850.8840.9880.5091.0000.0000.8740.8230.9590.980
중학교 교원(명)1.0000.7640.8800.9150.8841.0000.9291.0000.9510.5750.8050.0000.8090.9880.7450.906
중학교 사무직원(명)1.0000.3670.5250.5250.9850.9291.0000.9290.9890.1930.9370.0000.8940.8990.8930.958
고등학교 교원(명)1.0000.7640.8800.9150.8841.0000.9291.0000.9510.5750.8050.0000.8090.9880.7450.906
고등학교 사무직원(명)1.0000.5970.7040.6970.9880.9510.9890.9511.0000.3620.9270.0000.8570.8860.9190.969
전문대학 교원(명)1.0000.8060.5020.3710.5090.5750.1930.5750.3621.0000.0001.0000.0000.4460.0000.197
전문대학 사무직원(명)1.0000.5720.7340.6931.0000.8050.9370.8050.9270.0001.0000.0000.9290.7500.9630.955
대학 교원(명)1.0000.7010.0000.0000.0000.0000.0000.0000.0001.0000.0001.0000.0000.0000.0000.000
대학 사무직원(명)1.0000.7110.6540.6860.8740.8090.8940.8090.8570.0000.9290.0001.0000.7770.8860.857
특수학교 교원(명)1.0000.7320.8310.9260.8230.9880.8990.9880.8860.4460.7500.0000.7771.0000.6080.870
특수학교 사무직원(명)1.0000.6570.9150.7980.9590.7450.8930.7450.9190.0000.9630.0000.8860.6081.0000.921
학교경영기관 사무직원(명)1.0000.6450.7430.6340.9800.9060.9580.9060.9690.1970.9550.0000.8570.8700.9211.000
2023-12-12T16:18:00.154410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원 교원(명)유치원 사무직원(명)초등학교 교원(명)초등학교 사무직원(명)중학교 교원(명)중학교 사무직원(명)고등학교 교원(명)고등학교 사무직원(명)전문대학 교원(명)전문대학 사무직원(명)대학 교원(명)대학 사무직원(명)특수학교 교원(명)특수학교 사무직원(명)학교경영기관 사무직원(명)
유치원 교원(명)1.0000.7250.4430.1750.5060.1980.4740.3260.7410.1290.8360.1140.3530.1850.338
유치원 사무직원(명)0.7251.0000.8180.6540.8240.6010.8320.7020.7980.6390.7430.6480.8220.4430.669
초등학교 교원(명)0.4430.8181.0000.7870.9030.7090.8860.8420.8360.7290.7870.7610.8860.5640.741
초등학교 사무직원(명)0.1750.6540.7871.0000.8460.8520.8300.8640.6810.8710.5880.8550.8200.7220.816
중학교 교원(명)0.5060.8240.9030.8461.0000.8260.9750.9060.8370.8420.7640.8590.9070.5870.827
중학교 사무직원(명)0.1980.6010.7090.8520.8261.0000.8220.8530.5690.8390.4950.8520.8000.7810.835
고등학교 교원(명)0.4740.8320.8860.8300.9750.8221.0000.9070.8340.8580.7430.8720.9330.6120.824
고등학교 사무직원(명)0.3260.7020.8420.8640.9060.8530.9071.0000.7870.9040.6830.9010.9090.8000.855
전문대학 교원(명)0.7410.7980.8360.6810.8370.5690.8340.7871.0000.5930.9290.5880.7800.4650.579
전문대학 사무직원(명)0.1290.6390.7290.8710.8420.8390.8580.9040.5931.0000.4520.9630.8570.8000.885
대학 교원(명)0.8360.7430.7870.5880.7640.4950.7430.6830.9290.4521.0000.4790.6630.3850.524
대학 사무직원(명)0.1140.6480.7610.8550.8590.8520.8720.9010.5880.9630.4791.0000.8780.8160.841
특수학교 교원(명)0.3530.8220.8860.8200.9070.8000.9330.9090.7800.8570.6630.8781.0000.6700.776
특수학교 사무직원(명)0.1850.4430.5640.7220.5870.7810.6120.8000.4650.8000.3850.8160.6701.0000.757
학교경영기관 사무직원(명)0.3380.6690.7410.8160.8270.8350.8240.8550.5790.8850.5240.8410.7760.7571.000

Missing values

2023-12-12T16:17:54.293644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:17:54.505326image/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.
2023-12-12T16:17:54.682543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연령유치원 교원(명)유치원 사무직원(명)초등학교 교원(명)초등학교 사무직원(명)중학교 교원(명)중학교 사무직원(명)고등학교 교원(명)고등학교 사무직원(명)전문대학 교원(명)전문대학 사무직원(명)대학 교원(명)대학 사무직원(명)특수학교 교원(명)특수학교 사무직원(명)학교경영기관 교원(명)학교경영기관 사무직원(명)
040세 미만126<NA>27462182014535653<NA>1
141세 미만<NA><NA>113286<NA>55191<NA><NA>2
242세 미만<NA><NA><NA><NA>73143<NA>5824<NA><NA><NA>1
343세 미만1<NA><NA><NA>1832741573211<NA>2
444세 미만<NA>131324701126104111<NA>2
545세 미만<NA><NA>214971101061610431<NA><NA>6
646세 미만<NA>21<NA>61910111717145122<NA>4
747세 미만1<NA>3174111381181017673<NA><NA>2
848세 미만<NA><NA>237331331511191811031<NA>3
949세 미만42617791872720243012443<NA>7
연령유치원 교원(명)유치원 사무직원(명)초등학교 교원(명)초등학교 사무직원(명)중학교 교원(명)중학교 사무직원(명)고등학교 교원(명)고등학교 사무직원(명)전문대학 교원(명)전문대학 사무직원(명)대학 교원(명)대학 사무직원(명)특수학교 교원(명)특수학교 사무직원(명)학교경영기관 교원(명)학교경영기관 사무직원(명)
2767세 미만35<NA>8<NA>1172201191034953594622<NA>1
2868세 미만21<NA>21475107203510913221<NA>2
2969세 미만18<NA>7156510912273100343<NA><NA><NA>
3070세 미만2213183101262028788372<NA><NA>2
3171세 미만16<NA>416761021321690372<NA><NA>3
3272세 미만18<NA>114871011821278282<NA><NA>2
3373세 미만9<NA>42706871411870291<NA><NA>5
3474세 미만7<NA>6256796917479341<NA><NA>1
3575세 미만5<NA>3<NA>434107917583282<NA><NA>2
3675세 이상17<NA>5046445695512213640855250223<NA>28