Overview

Dataset statistics

Number of variables10
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory87.1 B

Variable types

Categorical3
Text2
DateTime1
Numeric4

Dataset

Description전국 외국인학교에 대한 학교코드, 인가일자, 학급 수, 학생 수, 교직원 수, 교원 수 등 관련 데이터를 제공하고 있습니다.
Author한국교육학술정보원
URLhttps://www.data.go.kr/data/15123580/fileData.do

Alerts

외국인학교학급수 is highly overall correlated with 외국인학교학생수 and 3 other fieldsHigh correlation
외국인학교학생수 is highly overall correlated with 외국인학교학급수 and 3 other fieldsHigh correlation
외국인학교직원수 is highly overall correlated with 외국인학교학급수 and 4 other fieldsHigh correlation
외국인학교교원수 is highly overall correlated with 외국인학교학급수 and 4 other fieldsHigh correlation
학제명 is highly overall correlated with 외국인학교학급수 and 3 other fieldsHigh correlation
설립구분명 is highly overall correlated with 외국인학교직원수 and 1 other fieldsHigh correlation
학제명 is highly imbalanced (55.4%)Imbalance
설립구분명 is highly imbalanced (84.1%)Imbalance
학교코드 has unique valuesUnique
외국인학교학급수 has 1 (2.3%) zerosZeros
외국인학교학생수 has 1 (2.3%) zerosZeros
외국인학교직원수 has 4 (9.3%) zerosZeros

Reproduction

Analysis started2023-12-12 16:21:35.028663
Analysis finished2023-12-12 16:21:37.066617
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학제명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
외국인학교
39 
국제학교
4 

Length

Max length5
Median length5
Mean length4.9069767
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인학교 39
90.7%
국제학교 4
 
9.3%

Length

2023-12-13T01:21:37.127105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:21:37.221690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인학교 39
90.7%
국제학교 4
 
9.3%

학교코드
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T01:21:37.433288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters430
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st rowJ100006548
2nd rowJ100006549
3rd rowJ100006550
4th rowJ100006551
5th rowJ100006555
ValueCountFrequency (%)
j100006548 1
 
2.3%
b100002476 1
 
2.3%
b100002479 1
 
2.3%
b100002481 1
 
2.3%
b100002482 1
 
2.3%
b100002483 1
 
2.3%
b100002484 1
 
2.3%
b100005489 1
 
2.3%
b100005490 1
 
2.3%
b100005491 1
 
2.3%
Other values (33) 33
76.7%
2023-12-13T01:21:37.793033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 189
44.0%
1 52
 
12.1%
2 29
 
6.7%
5 27
 
6.3%
4 27
 
6.3%
B 18
 
4.2%
7 13
 
3.0%
9 13
 
3.0%
8 13
 
3.0%
6 12
 
2.8%
Other values (11) 37
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 387
90.0%
Uppercase Letter 43
 
10.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 18
41.9%
J 6
 
14.0%
C 5
 
11.6%
T 4
 
9.3%
S 2
 
4.7%
D 2
 
4.7%
E 2
 
4.7%
F 1
 
2.3%
G 1
 
2.3%
H 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
0 189
48.8%
1 52
 
13.4%
2 29
 
7.5%
5 27
 
7.0%
4 27
 
7.0%
7 13
 
3.4%
9 13
 
3.4%
8 13
 
3.4%
6 12
 
3.1%
3 12
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 387
90.0%
Latin 43
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 18
41.9%
J 6
 
14.0%
C 5
 
11.6%
T 4
 
9.3%
S 2
 
4.7%
D 2
 
4.7%
E 2
 
4.7%
F 1
 
2.3%
G 1
 
2.3%
H 1
 
2.3%
Common
ValueCountFrequency (%)
0 189
48.8%
1 52
 
13.4%
2 29
 
7.5%
5 27
 
7.0%
4 27
 
7.0%
7 13
 
3.4%
9 13
 
3.4%
8 13
 
3.4%
6 12
 
3.1%
3 12
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 189
44.0%
1 52
 
12.1%
2 29
 
6.7%
5 27
 
6.3%
4 27
 
6.3%
B 18
 
4.2%
7 13
 
3.0%
9 13
 
3.0%
8 13
 
3.0%
6 12
 
2.8%
Other values (11) 37
 
8.6%

학교명
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T01:21:38.029058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length19
Mean length9.9302326
Min length6

Characters and Unicode

Total characters427
Distinct characters104
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row경기수원외국인학교
2nd row국제크리스쳔학교
3rd row서울국제학교
4th row수원화교중정소학교
5th row한국외국인학교
ValueCountFrequency (%)
한국외국인학교 2
 
3.8%
jeju 2
 
3.8%
현대외국인학교 1
 
1.9%
프란치스코외국인유치원 1
 
1.9%
한국영등포화교소학교 1
 
1.9%
한국켄트외국인학교 1
 
1.9%
한국한성화교소학교 1
 
1.9%
재한몽골학교 1
 
1.9%
하비에르국제학교 1
 
1.9%
아시아퍼시픽국제외국인학교 1
 
1.9%
Other values (40) 40
76.9%
2023-12-13T01:21:38.387985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 49
 
11.5%
학 39
 
9.1%
국 39
 
9.1%
인 22
 
5.2%
외 19
 
4.4%
한 13
 
3.0%
화 10
 
2.3%
제 10
 
2.3%
9
 
2.1%
o 8
 
1.9%
Other values (94) 209
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
80.8%
Lowercase Letter 61
 
14.3%
Uppercase Letter 12
 
2.8%
Space Separator 9
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 49
 
14.2%
학 39
 
11.3%
국 39
 
11.3%
인 22
 
6.4%
외 19
 
5.5%
한 13
 
3.8%
화 10
 
2.9%
제 10
 
2.9%
서 8
 
2.3%
울 8
 
2.3%
Other values (66) 128
37.1%
Lowercase Letter
ValueCountFrequency (%)
o 8
13.1%
e 6
 
9.8%
a 6
 
9.8%
l 5
 
8.2%
n 5
 
8.2%
r 3
 
4.9%
i 3
 
4.9%
u 3
 
4.9%
t 3
 
4.9%
h 3
 
4.9%
Other values (9) 16
26.2%
Uppercase Letter
ValueCountFrequency (%)
J 3
25.0%
A 2
16.7%
S 2
16.7%
N 1
 
8.3%
L 1
 
8.3%
C 1
 
8.3%
H 1
 
8.3%
B 1
 
8.3%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
80.8%
Latin 73
 
17.1%
Common 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 49
 
14.2%
학 39
 
11.3%
국 39
 
11.3%
인 22
 
6.4%
외 19
 
5.5%
한 13
 
3.8%
화 10
 
2.9%
제 10
 
2.9%
서 8
 
2.3%
울 8
 
2.3%
Other values (66) 128
37.1%
Latin
ValueCountFrequency (%)
o 8
 
11.0%
e 6
 
8.2%
a 6
 
8.2%
l 5
 
6.8%
n 5
 
6.8%
r 3
 
4.1%
i 3
 
4.1%
u 3
 
4.1%
t 3
 
4.1%
h 3
 
4.1%
Other values (17) 28
38.4%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
80.8%
ASCII 82
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 49
 
14.2%
학 39
 
11.3%
국 39
 
11.3%
인 22
 
6.4%
외 19
 
5.5%
한 13
 
3.8%
화 10
 
2.9%
제 10
 
2.9%
서 8
 
2.3%
울 8
 
2.3%
Other values (66) 128
37.1%
ASCII
ValueCountFrequency (%)
9
 
11.0%
o 8
 
9.8%
e 6
 
7.3%
a 6
 
7.3%
l 5
 
6.1%
n 5
 
6.1%
r 3
 
3.7%
i 3
 
3.7%
u 3
 
3.7%
t 3
 
3.7%
Other values (18) 31
37.8%

설립구분명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
사립
42 
공립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
사립 42
97.7%
공립 1
 
2.3%

Length

2023-12-13T01:21:38.522960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:21:38.615518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 42
97.7%
공립 1
 
2.3%

인가일자
Date

Distinct36
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1972-03-28 00:00:00
Maximum2017-09-22 00:00:00
2023-12-13T01:21:38.726119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:39.177003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

설치과정명
Categorical

Distinct8
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
유초중고
26 
유초
4 
중고
3 
초
3 
초중고
3 
Other values (3)
4 

Length

Max length4
Median length4
Mean length3.2325581
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row유초중고
2nd row유초중고
3rd row유초중고
4th row유초
5th row유초중고

Common Values

ValueCountFrequency (%)
유초중고 26
60.5%
유초 4
 
9.3%
중고 3
 
7.0%
초 3
 
7.0%
초중고 3
 
7.0%
유초중 2
 
4.7%
초중 1
 
2.3%
유 1
 
2.3%

Length

2023-12-13T01:21:39.362789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:21:39.488897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유초중고 26
60.5%
유초 4
 
9.3%
중고 3
 
7.0%
초 3
 
7.0%
초중고 3
 
7.0%
유초중 2
 
4.7%
초중 1
 
2.3%
유 1
 
2.3%

외국인학교학급수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.418605
Minimum0
Maximum95
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:21:39.625774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q18.5
median15
Q331
95-th percentile71.4
Maximum95
Range95
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation22.415166
Coefficient of variation (CV)0.95715205
Kurtosis3.4098537
Mean23.418605
Median Absolute Deviation (MAD)7
Skewness1.8809551
Sum1007
Variance502.43965
MonotonicityNot monotonic
2023-12-13T01:21:39.741074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13 5
 
11.6%
6 4
 
9.3%
8 3
 
7.0%
18 3
 
7.0%
15 3
 
7.0%
14 3
 
7.0%
21 2
 
4.7%
32 2
 
4.7%
4 2
 
4.7%
39 1
 
2.3%
Other values (15) 15
34.9%
ValueCountFrequency (%)
0 1
 
2.3%
4 2
 
4.7%
5 1
 
2.3%
6 4
9.3%
8 3
7.0%
9 1
 
2.3%
12 1
 
2.3%
13 5
11.6%
14 3
7.0%
15 3
7.0%
ValueCountFrequency (%)
95 1
2.3%
94 1
2.3%
73 1
2.3%
57 1
2.3%
51 1
2.3%
49 1
2.3%
41 1
2.3%
39 1
2.3%
37 1
2.3%
32 2
4.7%

외국인학교학생수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382.81395
Minimum0
Maximum1549
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:21:39.875527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.2
Q158
median247
Q3505.5
95-th percentile1179.7
Maximum1549
Range1549
Interquartile range (IQR)447.5

Descriptive statistics

Standard deviation414.35321
Coefficient of variation (CV)1.082388
Kurtosis1.008126
Mean382.81395
Median Absolute Deviation (MAD)202
Skewness1.3538289
Sum16461
Variance171688.58
MonotonicityNot monotonic
2023-12-13T01:21:40.079211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
45 2
 
4.7%
58 2
 
4.7%
487 1
 
2.3%
683 1
 
2.3%
155 1
 
2.3%
278 1
 
2.3%
324 1
 
2.3%
276 1
 
2.3%
224 1
 
2.3%
247 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
0 1
2.3%
16 1
2.3%
19 1
2.3%
21 1
2.3%
22 1
2.3%
30 1
2.3%
38 1
2.3%
45 2
4.7%
50 1
2.3%
58 2
4.7%
ValueCountFrequency (%)
1549 1
2.3%
1455 1
2.3%
1191 1
2.3%
1078 1
2.3%
1030 1
2.3%
991 1
2.3%
984 1
2.3%
831 1
2.3%
683 1
2.3%
517 1
2.3%

외국인학교직원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.860465
Minimum0
Maximum110
Zeros4
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:21:40.218158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median11
Q333.5
95-th percentile101.3
Maximum110
Range110
Interquartile range (IQR)30

Descriptive statistics

Standard deviation30.887339
Coefficient of variation (CV)1.2944986
Kurtosis1.7000477
Mean23.860465
Median Absolute Deviation (MAD)9
Skewness1.635944
Sum1026
Variance954.02769
MonotonicityNot monotonic
2023-12-13T01:21:40.371412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2 5
 
11.6%
0 4
 
9.3%
6 3
 
7.0%
4 3
 
7.0%
103 2
 
4.7%
11 2
 
4.7%
5 2
 
4.7%
40 2
 
4.7%
13 2
 
4.7%
3 2
 
4.7%
Other values (16) 16
37.2%
ValueCountFrequency (%)
0 4
9.3%
2 5
11.6%
3 2
 
4.7%
4 3
7.0%
5 2
 
4.7%
6 3
7.0%
8 1
 
2.3%
10 1
 
2.3%
11 2
 
4.7%
12 1
 
2.3%
ValueCountFrequency (%)
110 1
2.3%
103 2
4.7%
86 1
2.3%
73 1
2.3%
67 1
2.3%
56 1
2.3%
45 1
2.3%
41 1
2.3%
40 2
4.7%
27 1
2.3%

외국인학교교원수
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.767442
Minimum2
Maximum208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:21:40.511175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q118
median37
Q384.5
95-th percentile170.2
Maximum208
Range206
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation56.002907
Coefficient of variation (CV)0.98653216
Kurtosis0.83355241
Mean56.767442
Median Absolute Deviation (MAD)22
Skewness1.3366794
Sum2441
Variance3136.3256
MonotonicityNot monotonic
2023-12-13T01:21:40.659701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8 3
 
7.0%
21 3
 
7.0%
39 2
 
4.7%
19 2
 
4.7%
23 2
 
4.7%
46 2
 
4.7%
15 2
 
4.7%
77 1
 
2.3%
50 1
 
2.3%
25 1
 
2.3%
Other values (24) 24
55.8%
ValueCountFrequency (%)
2 1
 
2.3%
6 1
 
2.3%
8 3
7.0%
9 1
 
2.3%
12 1
 
2.3%
14 1
 
2.3%
15 2
4.7%
17 1
 
2.3%
19 2
4.7%
21 3
7.0%
ValueCountFrequency (%)
208 1
2.3%
202 1
2.3%
172 1
2.3%
154 1
2.3%
147 1
2.3%
141 1
2.3%
122 1
2.3%
110 1
2.3%
109 1
2.3%
87 1
2.3%

Interactions

2023-12-13T01:21:36.532657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:35.508103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:35.832043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.213400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.618920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:35.582537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:35.913372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.296296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.702023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:35.683577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.017689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.386408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.775388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:35.752470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.102150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:21:36.466364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:21:40.761593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학제명학교코드학교명설립구분명인가일자설치과정명외국인학교학급수외국인학교학생수외국인학교직원수외국인학교교원수
학제명1.0001.0001.0000.2411.0000.0001.0000.7440.7600.989
학교코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
학교명1.0001.0001.0001.0000.9930.9480.6630.0000.9380.000
설립구분명0.2411.0001.0001.0001.0000.0000.5690.2381.0000.755
인가일자1.0001.0000.9931.0001.0000.0000.9910.9890.9990.990
설치과정명0.0001.0000.9480.0000.0001.0000.0000.0000.0000.000
외국인학교학급수1.0001.0000.6630.5690.9910.0001.0000.8550.7840.895
외국인학교학생수0.7441.0000.0000.2380.9890.0000.8551.0000.8630.903
외국인학교직원수0.7601.0000.9381.0000.9990.0000.7840.8631.0000.854
외국인학교교원수0.9891.0000.0000.7550.9900.0000.8950.9030.8541.000
2023-12-13T01:21:40.921325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치과정명설립구분명학제명
설치과정명1.0000.0000.000
설립구분명0.0001.0000.153
학제명0.0000.1531.000
2023-12-13T01:21:41.010186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
외국인학교학급수외국인학교학생수외국인학교직원수외국인학교교원수학제명설립구분명설치과정명
외국인학교학급수1.0000.9220.9090.9420.9240.3930.000
외국인학교학생수0.9221.0000.9030.9620.6900.2070.000
외국인학교직원수0.9090.9031.0000.9200.7070.9110.000
외국인학교교원수0.9420.9620.9201.0000.8150.5300.000
학제명0.9240.6900.7070.8151.0000.1530.000
설립구분명0.3930.2070.9110.5300.1531.0000.000
설치과정명0.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-13T01:21:36.879340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:21:37.014771image/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

학제명학교코드학교명설립구분명인가일자설치과정명외국인학교학급수외국인학교학생수외국인학교직원수외국인학교교원수
0외국인학교J100006548경기수원외국인학교사립2006-06-12유초중고374872583
1외국인학교J100006549국제크리스쳔학교사립2002-06-24유초중고131071221
2외국인학교J100006550서울국제학교사립1973-06-05유초중고30831103110
3외국인학교J100006551수원화교중정소학교사립2007-08-31유초81908
4외국인학교J100006555한국외국인학교사립2005-12-14유초중고951191110172
5외국인학교J100006556평택크리스천외국인학교사립2010-05-12유초중고131311121
6외국인학교S100003793경남국제외국인학교사립2003-12-26유초중고15711123
7외국인학교S100003794거제국제외국인학교사립2002-12-30유초중고858521
8외국인학교F100001302광주외국인학교사립2000-08-22유초중고1438414
9외국인학교D100001934한국대구화교중고등학교사립1999-10-18중고41608
학제명학교코드학교명설립구분명인가일자설치과정명외국인학교학급수외국인학교학생수외국인학교직원수외국인학교교원수
33외국인학교B100005733덜위치칼리지서울영국학교사립2010-05-07유초중고3968341109
34외국인학교B100005926서울드와이트외국인학교사립2012-03-30유초중고285172787
35외국인학교H100000740현대외국인학교사립1982-09-10유초중44548
36외국인학교E100002173청라달튼외국인학교사립2011-03-16유초중고325094077
37외국인학교E100002259인천화교소중산중고등학교사립2002-12-21유초중고14346328
38외국인학교P100002684군산화교소학교사립2002-01-10초0002
39국제학교T100000845한국국제학교공립2011-09-19유초중고57107886147
40국제학교T100000846North London Collegiate School Jeju사립2011-09-26유초중고731455103202
41국제학교T100000854Branksome Hall Asia사립2012-10-15유초중고4999156154
42국제학교T100000871Saint Johnsbury Academy Jeju사립2017-09-22유초중고51103073141