Overview

Dataset statistics

Number of variables9
Number of observations3495
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory259.5 KiB
Average record size in memory76.0 B

Variable types

Numeric4
Categorical2
Text2
DateTime1

Dataset

Description사립학교교직원연금공단 임의적용 및 사이버대학 현황 관련된 자료로 순번, 학교급, 기관번호, 학교기관, 상세구분, 법적용일, 직원수, 교원수 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15112995/fileData.do

Alerts

직원수 is highly overall correlated with 합계High correlation
교원수 is highly overall correlated with 합계High correlation
합계 is highly overall correlated with 직원수 and 1 other fieldsHigh correlation
학교급 is highly overall correlated with 상세구분High correlation
상세구분 is highly overall correlated with 학교급High correlation
학교급 is highly imbalanced (88.9%)Imbalance
상세구분 is highly imbalanced (88.9%)Imbalance
직원수 is highly skewed (γ1 = 26.77491549)Skewed
교원수 is highly skewed (γ1 = 46.27790185)Skewed
합계 is highly skewed (γ1 = 25.39255137)Skewed
순번 has unique valuesUnique
기관번호 has unique valuesUnique
직원수 has 2128 (60.9%) zerosZeros
교원수 has 220 (6.3%) zerosZeros
합계 has 197 (5.6%) zerosZeros

Reproduction

Analysis started2023-12-12 07:53:14.916951
Analysis finished2023-12-12 07:53:17.408343
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct3495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1748
Minimum1
Maximum3495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-12T16:53:17.499132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile175.7
Q1874.5
median1748
Q32621.5
95-th percentile3320.3
Maximum3495
Range3494
Interquartile range (IQR)1747

Descriptive statistics

Standard deviation1009.0639
Coefficient of variation (CV)0.57726769
Kurtosis-1.2
Mean1748
Median Absolute Deviation (MAD)874
Skewness0
Sum6109260
Variance1018210
MonotonicityStrictly increasing
2023-12-12T16:53:17.662725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2335 1
 
< 0.1%
2324 1
 
< 0.1%
2325 1
 
< 0.1%
2326 1
 
< 0.1%
2327 1
 
< 0.1%
2328 1
 
< 0.1%
2329 1
 
< 0.1%
2330 1
 
< 0.1%
2331 1
 
< 0.1%
Other values (3485) 3485
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3495 1
< 0.1%
3494 1
< 0.1%
3493 1
< 0.1%
3492 1
< 0.1%
3491 1
< 0.1%
3490 1
< 0.1%
3489 1
< 0.1%
3488 1
< 0.1%
3487 1
< 0.1%
3486 1
< 0.1%

학교급
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
유치원
3354 
대학교
 
49
고등학교
 
47
법인
 
17
중학교
 
16
Other values (3)
 
12

Length

Max length4
Median length3
Mean length3.0120172
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 3354
96.0%
대학교 49
 
1.4%
고등학교 47
 
1.3%
법인 17
 
0.5%
중학교 16
 
0.5%
전문대학 6
 
0.2%
초등학교 3
 
0.1%
특수학교 3
 
0.1%

Length

2023-12-12T16:53:17.857934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:17.987652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 3354
96.0%
대학교 49
 
1.4%
고등학교 47
 
1.3%
법인 17
 
0.5%
중학교 16
 
0.5%
전문대학 6
 
0.2%
초등학교 3
 
0.1%
특수학교 3
 
0.1%

기관번호
Text

UNIQUE 

Distinct3495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
2023-12-12T16:53:18.325632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9241774
Min length4

Characters and Unicode

Total characters20705
Distinct characters23
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

Unique3495 ?
Unique (%)100.0%

Sample

1st row가00002
2nd row가00003
3rd row가00006
4th row가00007
5th row가00008
ValueCountFrequency (%)
가00002 1
 
< 0.1%
아00267 1
 
< 0.1%
아00252 1
 
< 0.1%
아00285 1
 
< 0.1%
아00253 1
 
< 0.1%
아00256 1
 
< 0.1%
아00257 1
 
< 0.1%
아00258 1
 
< 0.1%
아00259 1
 
< 0.1%
아00263 1
 
< 0.1%
Other values (3485) 3485
99.7%
2023-12-12T16:53:18.867687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7888
38.1%
1 1829
 
8.8%
2 1428
 
6.9%
3 1224
 
5.9%
4 944
 
4.6%
다 903
 
4.4%
6 813
 
3.9%
7 806
 
3.9%
5 790
 
3.8%
8 765
 
3.7%
Other values (13) 3315
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17210
83.1%
Other Letter 3495
 
16.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 903
25.8%
가 513
14.7%
차 336
 
9.6%
바 284
 
8.1%
나 256
 
7.3%
아 243
 
7.0%
자 224
 
6.4%
타 217
 
6.2%
파 210
 
6.0%
사 133
 
3.8%
Other values (3) 176
 
5.0%
Decimal Number
ValueCountFrequency (%)
0 7888
45.8%
1 1829
 
10.6%
2 1428
 
8.3%
3 1224
 
7.1%
4 944
 
5.5%
6 813
 
4.7%
7 806
 
4.7%
5 790
 
4.6%
8 765
 
4.4%
9 723
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Common 17210
83.1%
Hangul 3495
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 903
25.8%
가 513
14.7%
차 336
 
9.6%
바 284
 
8.1%
나 256
 
7.3%
아 243
 
7.0%
자 224
 
6.4%
타 217
 
6.2%
파 210
 
6.0%
사 133
 
3.8%
Other values (3) 176
 
5.0%
Common
ValueCountFrequency (%)
0 7888
45.8%
1 1829
 
10.6%
2 1428
 
8.3%
3 1224
 
7.1%
4 944
 
5.5%
6 813
 
4.7%
7 806
 
4.7%
5 790
 
4.6%
8 765
 
4.4%
9 723
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17210
83.1%
Hangul 3495
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7888
45.8%
1 1829
 
10.6%
2 1428
 
8.3%
3 1224
 
7.1%
4 944
 
5.5%
6 813
 
4.7%
7 806
 
4.7%
5 790
 
4.6%
8 765
 
4.4%
9 723
 
4.2%
Hangul
ValueCountFrequency (%)
다 903
25.8%
가 513
14.7%
차 336
 
9.6%
바 284
 
8.1%
나 256
 
7.3%
아 243
 
7.0%
자 224
 
6.4%
타 217
 
6.2%
파 210
 
6.0%
사 133
 
3.8%
Other values (3) 176
 
5.0%

학교기관
Text

Distinct2215
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
2023-12-12T16:53:19.229373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length5
Mean length5.9991416
Min length4

Characters and Unicode

Total characters20967
Distinct characters527
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1782 ?
Unique (%)51.0%

Sample

1st row동화나라유치원
2nd row신예유치원
3rd row해림유치원
4th row배화유치원
5th row동성유치원
ValueCountFrequency (%)
유치원 26
 
0.7%
성모유치원 24
 
0.7%
예일유치원 21
 
0.6%
자연유치원 20
 
0.6%
사랑유치원 19
 
0.5%
중앙유치원 18
 
0.5%
이화유치원 17
 
0.5%
성심유치원 16
 
0.4%
새싹유치원 16
 
0.4%
꿈나무유치원 15
 
0.4%
Other values (2214) 3364
94.6%
2023-12-12T16:53:19.701034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 3523
 
16.8%
유 3390
 
16.2%
치 3361
 
16.0%
아 254
 
1.2%
이 252
 
1.2%
성 238
 
1.1%
학 231
 
1.1%
대 225
 
1.1%
동 200
 
1.0%
리 181
 
0.9%
Other values (517) 9112
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20851
99.4%
Space Separator 62
 
0.3%
Uppercase Letter 27
 
0.1%
Other Punctuation 8
 
< 0.1%
Decimal Number 8
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3523
 
16.9%
유 3390
 
16.3%
치 3361
 
16.1%
아 254
 
1.2%
이 252
 
1.2%
성 238
 
1.1%
학 231
 
1.1%
대 225
 
1.1%
동 200
 
1.0%
리 181
 
0.9%
Other values (490) 8996
43.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
18.5%
C 4
14.8%
Y 3
11.1%
M 3
11.1%
K 3
11.1%
B 2
 
7.4%
E 1
 
3.7%
H 1
 
3.7%
T 1
 
3.7%
J 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 3
37.5%
3 1
 
12.5%
5 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
i 1
25.0%
n 1
25.0%
g 1
25.0%
Other Punctuation
ValueCountFrequency (%)
· 7
87.5%
＆ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20851
99.4%
Common 85
 
0.4%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3523
 
16.9%
유 3390
 
16.3%
치 3361
 
16.1%
아 254
 
1.2%
이 252
 
1.2%
성 238
 
1.1%
학 231
 
1.1%
대 225
 
1.1%
동 200
 
1.0%
리 181
 
0.9%
Other values (490) 8996
43.1%
Latin
ValueCountFrequency (%)
A 5
16.1%
C 4
12.9%
Y 3
9.7%
M 3
9.7%
K 3
9.7%
B 2
 
6.5%
E 1
 
3.2%
H 1
 
3.2%
T 1
 
3.2%
e 1
 
3.2%
Other values (7) 7
22.6%
Common
ValueCountFrequency (%)
62
72.9%
· 7
 
8.2%
( 3
 
3.5%
) 3
 
3.5%
2 3
 
3.5%
1 3
 
3.5%
＆ 1
 
1.2%
- 1
 
1.2%
3 1
 
1.2%
5 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20851
99.4%
ASCII 108
 
0.5%
None 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 3523
 
16.9%
유 3390
 
16.3%
치 3361
 
16.1%
아 254
 
1.2%
이 252
 
1.2%
성 238
 
1.1%
학 231
 
1.1%
대 225
 
1.1%
동 200
 
1.0%
리 181
 
0.9%
Other values (490) 8996
43.1%
ASCII
ValueCountFrequency (%)
62
57.4%
A 5
 
4.6%
C 4
 
3.7%
Y 3
 
2.8%
( 3
 
2.8%
) 3
 
2.8%
M 3
 
2.8%
K 3
 
2.8%
2 3
 
2.8%
1 3
 
2.8%
Other values (15) 16
 
14.8%
None
ValueCountFrequency (%)
· 7
87.5%
＆ 1
 
12.5%

상세구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
제3조3호(유치원)
3352 
제60조4제2항(평생교육법)
 
45
제3조3호(유치원외 임의기관)
 
31
제60조4제7항(국립대학병원)
 
22
<NA>
 
21
Other values (4)
 
24

Length

Max length17
Median length10
Mean length10.148784
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row제3조3호(유치원)
2nd row제3조3호(유치원)
3rd row제3조3호(유치원)
4th row제3조3호(유치원)
5th row제3조3호(유치원)

Common Values

ValueCountFrequency (%)
제3조3호(유치원) 3352
95.9%
제60조4제2항(평생교육법) 45
 
1.3%
제3조3호(유치원외 임의기관) 31
 
0.9%
제60조4제7항(국립대학병원) 22
 
0.6%
<NA> 21
 
0.6%
제60조4제1항(연구기관) 10
 
0.3%
제60조4제5항(국립대) 8
 
0.2%
제60조4제6항(서울대학교병원) 5
 
0.1%
제60조4제3항(사학연금) 1
 
< 0.1%

Length

2023-12-12T16:53:20.180723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:20.350813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제3조3호(유치원 3352
95.1%
제60조4제2항(평생교육법 45
 
1.3%
제3조3호(유치원외 31
 
0.9%
임의기관 31
 
0.9%
제60조4제7항(국립대학병원 22
 
0.6%
na 21
 
0.6%
제60조4제1항(연구기관 10
 
0.3%
제60조4제5항(국립대 8
 
0.2%
제60조4제6항(서울대학교병원 5
 
0.1%
제60조4제3항(사학연금 1
 
< 0.1%

법적용일
Date

Distinct1689
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
Minimum1975-01-01 00:00:00
Maximum2022-03-02 00:00:00
2023-12-12T16:53:20.539343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:20.685799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

직원수
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct64
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.518169
Minimum0
Maximum10188
Zeros2128
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-12T16:53:20.849906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum10188
Range10188
Interquartile range (IQR)1

Descriptive statistics

Standard deviation249.40697
Coefficient of variation (CV)16.071933
Kurtosis908.40072
Mean15.518169
Median Absolute Deviation (MAD)0
Skewness26.774915
Sum54236
Variance62203.836
MonotonicityNot monotonic
2023-12-12T16:53:20.990874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2128
60.9%
1 749
 
21.4%
2 276
 
7.9%
3 137
 
3.9%
4 59
 
1.7%
5 30
 
0.9%
6 19
 
0.5%
7 12
 
0.3%
11 7
 
0.2%
9 7
 
0.2%
Other values (54) 71
 
2.0%
ValueCountFrequency (%)
0 2128
60.9%
1 749
 
21.4%
2 276
 
7.9%
3 137
 
3.9%
4 59
 
1.7%
5 30
 
0.9%
6 19
 
0.5%
7 12
 
0.3%
8 7
 
0.2%
9 7
 
0.2%
ValueCountFrequency (%)
10188 1
< 0.1%
5196 1
< 0.1%
4580 1
< 0.1%
3283 1
< 0.1%
3008 1
< 0.1%
2867 1
< 0.1%
2711 1
< 0.1%
2683 1
< 0.1%
2130 1
< 0.1%
2079 1
< 0.1%

교원수
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct56
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.230043
Minimum0
Maximum2103
Zeros220
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-12T16:53:21.131626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median8
Q312
95-th percentile19
Maximum2103
Range2103
Interquartile range (IQR)7

Descriptive statistics

Standard deviation38.976947
Coefficient of variation (CV)3.8100472
Kurtosis2408.1032
Mean10.230043
Median Absolute Deviation (MAD)3
Skewness46.277902
Sum35754
Variance1519.2024
MonotonicityNot monotonic
2023-12-12T16:53:21.288358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 325
 
9.3%
7 314
 
9.0%
5 290
 
8.3%
9 275
 
7.9%
6 264
 
7.6%
10 249
 
7.1%
4 224
 
6.4%
0 220
 
6.3%
11 206
 
5.9%
13 163
 
4.7%
Other values (46) 965
27.6%
ValueCountFrequency (%)
0 220
6.3%
1 39
 
1.1%
2 53
 
1.5%
3 115
 
3.3%
4 224
6.4%
5 290
8.3%
6 264
7.6%
7 314
9.0%
8 325
9.3%
9 275
7.9%
ValueCountFrequency (%)
2103 1
< 0.1%
663 1
< 0.1%
444 1
< 0.1%
321 1
< 0.1%
187 1
< 0.1%
170 1
< 0.1%
137 1
< 0.1%
88 1
< 0.1%
78 1
< 0.1%
75 1
< 0.1%

합계
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct94
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.748212
Minimum0
Maximum10188
Zeros197
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-12T16:53:21.437899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median9
Q313
95-th percentile23
Maximum10188
Range10188
Interquartile range (IQR)7

Descriptive statistics

Standard deviation255.52865
Coefficient of variation (CV)9.924132
Kurtosis827.78545
Mean25.748212
Median Absolute Deviation (MAD)4
Skewness25.392551
Sum89990
Variance65294.892
MonotonicityNot monotonic
2023-12-12T16:53:21.601825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 287
 
8.2%
8 286
 
8.2%
9 265
 
7.6%
6 256
 
7.3%
5 255
 
7.3%
10 244
 
7.0%
11 217
 
6.2%
4 200
 
5.7%
0 197
 
5.6%
12 160
 
4.6%
Other values (84) 1128
32.3%
ValueCountFrequency (%)
0 197
5.6%
1 34
 
1.0%
2 44
 
1.3%
3 101
 
2.9%
4 200
5.7%
5 255
7.3%
6 256
7.3%
7 287
8.2%
8 286
8.2%
9 265
7.6%
ValueCountFrequency (%)
10188 1
< 0.1%
5196 1
< 0.1%
4580 1
< 0.1%
3283 1
< 0.1%
3274 1
< 0.1%
3008 1
< 0.1%
2867 1
< 0.1%
2711 1
< 0.1%
2683 1
< 0.1%
2130 1
< 0.1%

Interactions

2023-12-12T16:53:16.775868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:15.563496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:15.938032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.335349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.872019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:15.650076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.035792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.462230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.961062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:15.752620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.142967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.571595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:17.049289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:15.846158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.248296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:16.680759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:53:21.689927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번학교급상세구분직원수교원수합계
순번1.0000.4390.4170.1300.0000.136
학교급0.4391.0000.9120.4010.2180.412
상세구분0.4170.9121.0000.6290.4960.637
직원수0.1300.4010.6291.0000.3320.998
교원수0.0000.2180.4960.3321.0000.575
합계0.1360.4120.6370.9980.5751.000
2023-12-12T16:53:21.781672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급상세구분
학교급1.0000.549
상세구분0.5491.000
2023-12-12T16:53:21.860871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번직원수교원수합계학교급상세구분
순번1.0000.066-0.0200.0220.2270.213
직원수0.0661.0000.3430.5170.2280.401
교원수-0.0200.3431.0000.9500.1350.332
합계0.0220.5170.9501.0000.2350.409
학교급0.2270.2280.1350.2351.0000.549
상세구분0.2130.4010.3320.4090.5491.000

Missing values

2023-12-12T16:53:17.168649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:53:17.332323image/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

순번학교급기관번호학교기관상세구분법적용일직원수교원수합계
01유치원가00002동화나라유치원제3조3호(유치원)2002-07-29033
12유치원가00003신예유치원제3조3호(유치원)2002-08-10167
23유치원가00006해림유치원제3조3호(유치원)2002-09-1701414
34유치원가00007배화유치원제3조3호(유치원)2002-09-19145
45유치원가00008동성유치원제3조3호(유치원)2002-10-0101010
56유치원가00010등대유치원제3조3호(유치원)2002-10-2301212
67유치원가00011성심유치원제3조3호(유치원)2002-11-23088
78유치원가00012새나유치원제3조3호(유치원)2002-11-29088
89유치원가00013꿈동산유치원제3조3호(유치원)2002-04-01044
910유치원가00014성실유치원제3조3호(유치원)2002-12-13189
순번학교급기관번호학교기관상세구분법적용일직원수교원수합계
34853486법인다0221사회복지법인한길제3조3호(유치원외 임의기관)2012-02-16000
34863487법인다0225학교법인 예닮학원제3조3호(유치원외 임의기관)2018-03-01101
34873488법인마0036특수법인 충북대학교병원제60조4제7항(국립대학병원)2016-03-01000
34883489법인바0126학교법인 춘담학원제3조3호(유치원외 임의기관)1997-09-09000
34893490법인바0128특수법인 충남대학교병원제60조4제7항(국립대학병원)2016-03-01000
34903491법인아0127학교법인 월광학원제3조3호(유치원외 임의기관)2020-07-15000
34913492법인차0132특수법인 경상대학교병원제60조4제7항(국립대학병원)2016-03-01000
34923493법인타0175특수법인 경북대학교병원제60조4제7항(국립대학병원)2016-03-01000
34933494법인타0176특수법인 경북대학교치과병원제60조4제7항(국립대학병원)2016-06-01000
34943495법인파0154국립대학법인인천대학교제60조4제5항(국립대)2013-01-18000