Overview

Dataset statistics

Number of variables18
Number of observations2844
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory405.6 KiB
Average record size in memory146.0 B

Variable types

Categorical10
Numeric2
Text5
Boolean1

Dataset

Description학교종류명,설립구분,표준학교코드,학교명,영문학교명,남녀공학구분명,고등학교구분명,산업체특별학급존재여부,고등학교일반실업구분명,특수목적고등학교계열명,입시전후기구분명,주야구분명,주야과정,계열명,학과명,도로명주소,도로명상세주소,적재일시
Author서울특별시교육청
URLhttps://data.seoul.go.kr/dataList/OA-20563/S/1/datasetView.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
산업체특별학급존재여부 is highly overall correlated with 특수목적고등학교계열명High correlation
입시전후기구분명 is highly overall correlated with 고등학교구분명 and 3 other fieldsHigh correlation
고등학교일반실업구분명 is highly overall correlated with 학교종류명 and 4 other fieldsHigh correlation
주야구분명 is highly overall correlated with 학교종류명 and 1 other fieldsHigh correlation
계열명 is highly overall correlated with 표준학교코드 and 5 other fieldsHigh correlation
주야과정 is highly overall correlated with 특수목적고등학교계열명High correlation
특수목적고등학교계열명 is highly overall correlated with 설립구분 and 6 other fieldsHigh correlation
표준학교코드 is highly overall correlated with 학교종류명 and 2 other fieldsHigh correlation
학교종류명 is highly overall correlated with 표준학교코드 and 4 other fieldsHigh correlation
설립구분 is highly overall correlated with 표준학교코드 and 1 other fieldsHigh correlation
고등학교구분명 is highly overall correlated with 학교종류명 and 3 other fieldsHigh correlation
학교종류명 is highly imbalanced (77.8%)Imbalance
산업체특별학급존재여부 is highly imbalanced (89.1%)Imbalance
특수목적고등학교계열명 is highly imbalanced (82.9%)Imbalance
주야구분명 is highly imbalanced (88.1%)Imbalance
주야과정 is highly imbalanced (92.6%)Imbalance

Reproduction

Analysis started2024-05-03 22:15:30.924628
Analysis finished2024-05-03 22:15:35.819470
Duration4.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
고등학교
2512 
각종학교(고)
256 
방송통신고등학교
 
32
평생학교(고)-3년6학기
 
15
평생학교(고)-2년6학기
 
14
Other values (3)
 
15

Length

Max length13
Median length4
Mean length4.4142053
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row각종학교(고)
2nd row고등학교
3rd row고등학교
4th row고등학교
5th row고등학교

Common Values

ValueCountFrequency (%)
고등학교 2512
88.3%
각종학교(고) 256
 
9.0%
방송통신고등학교 32
 
1.1%
평생학교(고)-3년6학기 15
 
0.5%
평생학교(고)-2년6학기 14
 
0.5%
고등기술학교 10
 
0.4%
특수학교 4
 
0.1%
공동실습소 1
 
< 0.1%

Length

2024-05-03T22:15:36.012486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:36.347549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 2512
88.3%
각종학교(고 256
 
9.0%
방송통신고등학교 32
 
1.1%
평생학교(고)-3년6학기 15
 
0.5%
평생학교(고)-2년6학기 14
 
0.5%
고등기술학교 10
 
0.4%
특수학교 4
 
0.1%
공동실습소 1
 
< 0.1%

설립구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
사립
1713 
공립
1115 
국립
 
16

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 1713
60.2%
공립 1115
39.2%
국립 16
 
0.6%

Length

2024-05-03T22:15:36.749474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:36.946617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1713
60.2%
공립 1115
39.2%
국립 16
 
0.6%

표준학교코드
Real number (ℝ)

HIGH CORRELATION 

Distinct350
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6984412.8
Minimum0
Maximum7041275
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size25.1 KiB
2024-05-03T22:15:37.159722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7010081.2
Q17010201
median7010567
Q37011084
95-th percentile7011507
Maximum7041275
Range7041275
Interquartile range (IQR)883

Descriptive statistics

Standard deviation388350.94
Coefficient of variation (CV)0.055602519
Kurtosis218.42959
Mean6984412.8
Median Absolute Deviation (MAD)389
Skewness-14.79887
Sum1.986367 × 1010
Variance1.5081646 × 1011
MonotonicityDecreasing
2024-05-03T22:15:37.493450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7010565 65
 
2.3%
7010567 63
 
2.2%
7010566 61
 
2.1%
7010278 41
 
1.4%
7010808 37
 
1.3%
7010737 34
 
1.2%
7010271 31
 
1.1%
7011539 30
 
1.1%
7010833 29
 
1.0%
7010738 28
 
1.0%
Other values (340) 2425
85.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
1371661 2
 
0.1%
1371663 10
0.4%
7010057 4
 
0.1%
7010058 4
 
0.1%
7010059 4
 
0.1%
7010060 4
 
0.1%
7010061 4
 
0.1%
7010062 16
0.6%
7010063 4
 
0.1%
ValueCountFrequency (%)
7041275 1
 
< 0.1%
7011569 14
0.5%
7011568 18
0.6%
7011558 16
0.6%
7011540 4
 
0.1%
7011539 30
1.1%
7011513 16
0.6%
7011508 26
0.9%
7011507 20
0.7%
7011506 21
0.7%

학교명
Text

Distinct350
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
2024-05-03T22:15:37.962060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length8.5383263
Min length4

Characters and Unicode

Total characters24283
Distinct characters218
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.8%

Sample

1st row지구촌학교 고등학교
2nd row미림마이스터고등학교
3rd row미림마이스터고등학교
4th row미림마이스터고등학교
5th row미림마이스터고등학교
ValueCountFrequency (%)
서울산업정보학교 65
 
2.3%
종로산업정보학교 63
 
2.2%
아현산업정보학교 61
 
2.1%
서울공업고등학교 41
 
1.4%
덕수고등학교 37
 
1.3%
성동공업고등학교 34
 
1.2%
경기기계공업고등학교 31
 
1.1%
서울동구고등학교 30
 
1.0%
학력인정 29
 
1.0%
대동세무고등학교 29
 
1.0%
Other values (342) 2454
85.4%
2024-05-03T22:15:38.841094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 3208
 
13.2%
교 2972
 
12.2%
등 2668
 
11.0%
고 2645
 
10.9%
서 703
 
2.9%
울 624
 
2.6%
업 462
 
1.9%
자 459
 
1.9%
여 382
 
1.6%
정 369
 
1.5%
Other values (208) 9791
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24208
99.7%
Space Separator 30
 
0.1%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%
Decimal Number 14
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 3208
 
13.3%
교 2972
 
12.3%
등 2668
 
11.0%
고 2645
 
10.9%
서 703
 
2.9%
울 624
 
2.6%
업 462
 
1.9%
자 459
 
1.9%
여 382
 
1.6%
정 369
 
1.5%
Other values (203) 9716
40.1%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Decimal Number
ValueCountFrequency (%)
2 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24208
99.7%
Common 75
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 3208
 
13.3%
교 2972
 
12.3%
등 2668
 
11.0%
고 2645
 
10.9%
서 703
 
2.9%
울 624
 
2.6%
업 462
 
1.9%
자 459
 
1.9%
여 382
 
1.6%
정 369
 
1.5%
Other values (203) 9716
40.1%
Common
ValueCountFrequency (%)
30
40.0%
) 14
18.7%
( 14
18.7%
2 14
18.7%
. 3
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24208
99.7%
ASCII 75
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 3208
 
13.3%
교 2972
 
12.3%
등 2668
 
11.0%
고 2645
 
10.9%
서 703
 
2.9%
울 624
 
2.6%
업 462
 
1.9%
자 459
 
1.9%
여 382
 
1.6%
정 369
 
1.5%
Other values (203) 9716
40.1%
ASCII
ValueCountFrequency (%)
30
40.0%
) 14
18.7%
( 14
18.7%
2 14
18.7%
. 3
 
4.0%

영문학교명
Text

Distinct348
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
2024-05-03T22:15:39.441340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length47
Mean length27.79782
Min length1

Characters and Unicode

Total characters79057
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.8%

Sample

1st rowGlobal School
2nd rowMirim Meister High School
3rd rowMirim Meister High School
4th rowMirim Meister High School
5th rowMirim Meister High School
ValueCountFrequency (%)
school 2818
24.4%
high 2596
22.5%
seoul 600
 
5.2%
girls’ 250
 
2.2%
technical 236
 
2.0%
arts 130
 
1.1%
polytechnic 128
 
1.1%
science 124
 
1.1%
of 96
 
0.8%
and 89
 
0.8%
Other values (344) 4470
38.7%
2024-05-03T22:15:40.470487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 8785
 
11.1%
8705
 
11.0%
h 6003
 
7.6%
i 5020
 
6.3%
g 4542
 
5.7%
l 4512
 
5.7%
S 4468
 
5.7%
c 4151
 
5.3%
n 3999
 
5.1%
H 3545
 
4.5%
Other values (45) 25327
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 51718
65.4%
Uppercase Letter 18162
 
23.0%
Space Separator 8705
 
11.0%
Final Punctuation 274
 
0.3%
Dash Punctuation 78
 
0.1%
Other Punctuation 76
 
0.1%
Modifier Symbol 44
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 8785
17.0%
h 6003
11.6%
i 5020
9.7%
g 4542
8.8%
l 4512
8.7%
c 4151
8.0%
n 3999
7.7%
e 3443
 
6.7%
a 2358
 
4.6%
u 1748
 
3.4%
Other values (14) 7157
13.8%
Uppercase Letter
ValueCountFrequency (%)
S 4468
24.6%
H 3545
19.5%
O 1100
 
6.1%
G 1039
 
5.7%
I 919
 
5.1%
C 733
 
4.0%
N 728
 
4.0%
T 691
 
3.8%
A 678
 
3.7%
L 649
 
3.6%
Other values (13) 3612
19.9%
Other Punctuation
ValueCountFrequency (%)
& 48
63.2%
/ 23
30.3%
' 4
 
5.3%
. 1
 
1.3%
Space Separator
ValueCountFrequency (%)
8705
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69880
88.4%
Common 9177
 
11.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 8785
12.6%
h 6003
 
8.6%
i 5020
 
7.2%
g 4542
 
6.5%
l 4512
 
6.5%
S 4468
 
6.4%
c 4151
 
5.9%
n 3999
 
5.7%
H 3545
 
5.1%
e 3443
 
4.9%
Other values (37) 21412
30.6%
Common
ValueCountFrequency (%)
8705
94.9%
’ 274
 
3.0%
- 78
 
0.8%
& 48
 
0.5%
` 44
 
0.5%
/ 23
 
0.3%
' 4
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78783
99.7%
Punctuation 274
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 8785
 
11.2%
8705
 
11.0%
h 6003
 
7.6%
i 5020
 
6.4%
g 4542
 
5.8%
l 4512
 
5.7%
S 4468
 
5.7%
c 4151
 
5.3%
n 3999
 
5.1%
H 3545
 
4.5%
Other values (44) 25053
31.8%
Punctuation
ValueCountFrequency (%)
’ 274
100.0%

남녀공학구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
남여공학
1814 
여
632 
남
398 

Length

Max length4
Median length4
Mean length2.9135021
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 1814
63.8%
여 632
 
22.2%
남 398
 
14.0%

Length

2024-05-03T22:15:40.734401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:40.962917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 1814
63.8%
여 632
 
22.2%
남 398
 
14.0%

고등학교구분명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
특성화고
1427 
일반고
1023 
특목고
183 
자율고
174 
<NA>
 
35

Length

Max length4
Median length4
Mean length3.5133615
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row특목고
3rd row특목고
4th row특목고
5th row특목고

Common Values

ValueCountFrequency (%)
특성화고 1427
50.2%
일반고 1023
36.0%
특목고 183
 
6.4%
자율고 174
 
6.1%
<NA> 35
 
1.2%
99 2
 
0.1%

Length

2024-05-03T22:15:41.199230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:41.619206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특성화고 1427
50.2%
일반고 1023
36.0%
특목고 183
 
6.4%
자율고 174
 
6.1%
na 35
 
1.2%
99 2
 
0.1%

산업체특별학급존재여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
False
2803 
True
 
41
ValueCountFrequency (%)
False 2803
98.6%
True 41
 
1.4%
2024-05-03T22:15:41.893791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
전문계
1551 
일반계
1285 
해당없음
 
7
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0028129
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row전문계
3rd row전문계
4th row전문계
5th row전문계

Common Values

ValueCountFrequency (%)
전문계 1551
54.5%
일반계 1285
45.2%
해당없음 7
 
0.2%
<NA> 1
 
< 0.1%

Length

2024-05-03T22:15:42.222783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:42.550696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문계 1551
54.5%
일반계 1285
45.2%
해당없음 7
 
0.2%
na 1
 
< 0.1%

특수목적고등학교계열명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
<NA>
2652 
산업수요 맞춤형 고등학교
 
76
외국어계열
 
54
예술계열
 
52
과학계열
 
8
Other values (2)
 
2

Length

Max length13
Median length4
Mean length4.2594937
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row산업수요 맞춤형 고등학교
3rd row산업수요 맞춤형 고등학교
4th row산업수요 맞춤형 고등학교
5th row산업수요 맞춤형 고등학교

Common Values

ValueCountFrequency (%)
<NA> 2652
93.2%
산업수요 맞춤형 고등학교 76
 
2.7%
외국어계열 54
 
1.9%
예술계열 52
 
1.8%
과학계열 8
 
0.3%
국제계열 1
 
< 0.1%
체육계열 1
 
< 0.1%

Length

2024-05-03T22:15:42.903643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:43.230044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2652
88.5%
산업수요 76
 
2.5%
맞춤형 76
 
2.5%
고등학교 76
 
2.5%
외국어계열 54
 
1.8%
예술계열 52
 
1.7%
과학계열 8
 
0.3%
국제계열 1
 
< 0.1%
체육계열 1
 
< 0.1%

입시전후기구분명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
전기
1854 
후기
988 
전후기
 
2

Length

Max length3
Median length2
Mean length2.0007032
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 1854
65.2%
후기 988
34.7%
전후기 2
 
0.1%

Length

2024-05-03T22:15:43.614422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:43.931198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 1854
65.2%
후기 988
34.7%
전후기 2
 
0.1%

주야구분명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
주간
2798 
주야간
 
46

Length

Max length3
Median length2
Mean length2.0161744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 2798
98.4%
주야간 46
 
1.6%

Length

2024-05-03T22:15:44.290860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:44.607979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 2798
98.4%
주야간 46
 
1.6%

주야과정
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
주간
2802 
야간
 
38
산업체특별
 
4

Length

Max length5
Median length2
Mean length2.0042194
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 2802
98.5%
야간 38
 
1.3%
산업체특별 4
 
0.1%

Length

2024-05-03T22:15:45.019366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:15:45.212119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 2802
98.5%
야간 38
 
1.3%
산업체특별 4
 
0.1%

계열명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
일반계
1138 
공업계
538 
상업계
387 
특성화
381 
통합계
191 
Other values (15)
209 

Length

Max length7
Median length3
Mean length3.0351617
Min length3

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row일반계
2nd row공업계
3rd row공업계
4th row공업계
5th row공업계

Common Values

ValueCountFrequency (%)
일반계 1138
40.0%
공업계 538
18.9%
상업계 387
 
13.6%
특성화 381
 
13.4%
통합계 191
 
6.7%
예술계 64
 
2.3%
가사계 51
 
1.8%
외국어계 44
 
1.5%
가사실업계 16
 
0.6%
전문계 14
 
0.5%
Other values (10) 20
 
0.7%

Length

2024-05-03T22:15:45.512873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반계 1138
40.0%
공업계 538
18.9%
상업계 387
 
13.6%
특성화 381
 
13.4%
통합계 191
 
6.7%
예술계 64
 
2.3%
가사계 51
 
1.8%
외국어계 44
 
1.5%
가사실업계 16
 
0.6%
전문계 14
 
0.5%
Other values (10) 20
 
0.7%

학과명
Text

Distinct869
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
2024-05-03T22:15:46.094633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.3565401
Min length2

Characters and Unicode

Total characters15234
Distinct characters319
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique592 ?
Unique (%)20.8%

Sample

1st row일반학과
2nd row멀티미디어통신과
3rd row웹미디어과
4th row인터넷과
5th row전자계산과
ValueCountFrequency (%)
일반학과 251
 
8.8%
공통과정 234
 
8.2%
인문사회과정 203
 
7.1%
자연과정 199
 
7.0%
정보처리과 51
 
1.8%
경영정보과 39
 
1.4%
전기과 38
 
1.3%
기계과 25
 
0.9%
전자과 25
 
0.9%
시각디자인과 25
 
0.9%
Other values (862) 1766
61.8%
2024-05-03T22:15:46.858532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 2821
 
18.5%
정 1000
 
6.6%
자 613
 
4.0%
인 513
 
3.4%
통 373
 
2.4%
공 369
 
2.4%
디 318
 
2.1%
사 296
 
1.9%
학 282
 
1.9%
일 279
 
1.8%
Other values (309) 8370
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14803
97.2%
Uppercase Letter 122
 
0.8%
Open Punctuation 109
 
0.7%
Close Punctuation 109
 
0.7%
Decimal Number 22
 
0.1%
Other Punctuation 21
 
0.1%
Lowercase Letter 19
 
0.1%
Dash Punctuation 17
 
0.1%
Space Separator 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 2821
 
19.1%
정 1000
 
6.8%
자 613
 
4.1%
인 513
 
3.5%
통 373
 
2.5%
공 369
 
2.5%
디 318
 
2.1%
사 296
 
2.0%
학 282
 
1.9%
일 279
 
1.9%
Other values (277) 7939
53.6%
Uppercase Letter
ValueCountFrequency (%)
I 23
18.9%
D 23
18.9%
T 17
13.9%
A 17
13.9%
C 13
10.7%
M 9
 
7.4%
O 5
 
4.1%
S 3
 
2.5%
V 2
 
1.6%
R 2
 
1.6%
Other values (6) 8
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
47.4%
b 3
 
15.8%
i 3
 
15.8%
z 3
 
15.8%
u 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
? 8
38.1%
· 8
38.1%
/ 4
19.0%
＆ 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
3 10
45.5%
1 6
27.3%
2 6
27.3%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14803
97.2%
Common 290
 
1.9%
Latin 141
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 2821
 
19.1%
정 1000
 
6.8%
자 613
 
4.1%
인 513
 
3.5%
통 373
 
2.5%
공 369
 
2.5%
디 318
 
2.1%
사 296
 
2.0%
학 282
 
1.9%
일 279
 
1.9%
Other values (277) 7939
53.6%
Latin
ValueCountFrequency (%)
I 23
16.3%
D 23
16.3%
T 17
12.1%
A 17
12.1%
C 13
9.2%
e 9
 
6.4%
M 9
 
6.4%
O 5
 
3.5%
S 3
 
2.1%
b 3
 
2.1%
Other values (11) 19
13.5%
Common
ValueCountFrequency (%)
( 109
37.6%
) 109
37.6%
- 17
 
5.9%
12
 
4.1%
3 10
 
3.4%
? 8
 
2.8%
· 8
 
2.8%
1 6
 
2.1%
2 6
 
2.1%
/ 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14802
97.2%
ASCII 422
 
2.8%
None 9
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 2821
 
19.1%
정 1000
 
6.8%
자 613
 
4.1%
인 513
 
3.5%
통 373
 
2.5%
공 369
 
2.5%
디 318
 
2.1%
사 296
 
2.0%
학 282
 
1.9%
일 279
 
1.9%
Other values (276) 7938
53.6%
ASCII
ValueCountFrequency (%)
( 109
25.8%
) 109
25.8%
I 23
 
5.5%
D 23
 
5.5%
T 17
 
4.0%
A 17
 
4.0%
- 17
 
4.0%
C 13
 
3.1%
12
 
2.8%
3 10
 
2.4%
Other values (20) 72
17.1%
None
ValueCountFrequency (%)
· 8
88.9%
＆ 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명주소
Text

Distinct309
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
2024-05-03T22:15:47.537636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.395218
Min length12

Characters and Unicode

Total characters52316
Distinct characters201
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)0.7%

Sample

1st row서울특별시 구로구 오리로 1189
2nd row서울특별시 관악구 호암로 546
3rd row서울특별시 관악구 호암로 546
4th row서울특별시 관악구 호암로 546
5th row서울특별시 관악구 호암로 546
ValueCountFrequency (%)
서울특별시 2832
25.0%
노원구 240
 
2.1%
관악구 215
 
1.9%
은평구 196
 
1.7%
강서구 195
 
1.7%
종로구 192
 
1.7%
중구 161
 
1.4%
강남구 148
 
1.3%
마포구 130
 
1.1%
성북구 123
 
1.1%
Other values (469) 6918
61.0%
2024-05-03T22:15:48.804271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8506
16.3%
서 3317
 
6.3%
로 2979
 
5.7%
구 2968
 
5.7%
시 2869
 
5.5%
울 2848
 
5.4%
별 2832
 
5.4%
특 2832
 
5.4%
1 1753
 
3.4%
길 1578
 
3.0%
Other values (191) 19834
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34010
65.0%
Decimal Number 9598
 
18.3%
Space Separator 8506
 
16.3%
Dash Punctuation 202
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3317
 
9.8%
로 2979
 
8.8%
구 2968
 
8.7%
시 2869
 
8.4%
울 2848
 
8.4%
별 2832
 
8.3%
특 2832
 
8.3%
길 1578
 
4.6%
강 547
 
1.6%
동 544
 
1.6%
Other values (179) 10696
31.4%
Decimal Number
ValueCountFrequency (%)
1 1753
18.3%
2 1509
15.7%
6 937
9.8%
5 910
9.5%
4 909
9.5%
9 863
9.0%
3 836
8.7%
7 740
7.7%
8 591
 
6.2%
0 550
 
5.7%
Space Separator
ValueCountFrequency (%)
8506
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34010
65.0%
Common 18306
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3317
 
9.8%
로 2979
 
8.8%
구 2968
 
8.7%
시 2869
 
8.4%
울 2848
 
8.4%
별 2832
 
8.3%
특 2832
 
8.3%
길 1578
 
4.6%
강 547
 
1.6%
동 544
 
1.6%
Other values (179) 10696
31.4%
Common
ValueCountFrequency (%)
8506
46.5%
1 1753
 
9.6%
2 1509
 
8.2%
6 937
 
5.1%
5 910
 
5.0%
4 909
 
5.0%
9 863
 
4.7%
3 836
 
4.6%
7 740
 
4.0%
8 591
 
3.2%
Other values (2) 752
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34010
65.0%
ASCII 18306
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8506
46.5%
1 1753
 
9.6%
2 1509
 
8.2%
6 937
 
5.1%
5 910
 
5.0%
4 909
 
5.0%
9 863
 
4.7%
3 836
 
4.6%
7 740
 
4.0%
8 591
 
3.2%
Other values (2) 752
 
4.1%
Hangul
ValueCountFrequency (%)
서 3317
 
9.8%
로 2979
 
8.8%
구 2968
 
8.7%
시 2869
 
8.4%
울 2848
 
8.4%
별 2832
 
8.3%
특 2832
 
8.3%
길 1578
 
4.6%
강 547
 
1.6%
동 544
 
1.6%
Other values (179) 10696
31.4%

도로명상세주소
Text

Distinct322
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
2024-05-03T22:15:49.394388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length13.235584
Min length4

Characters and Unicode

Total characters37642
Distinct characters238
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.7%

Sample

1st row(오류동, 금강프라자)
2nd row미림마이스터고등학교
3rd row미림마이스터고등학교
4th row미림마이스터고등학교
5th row미림마이스터고등학교
ValueCountFrequency (%)
1085
 
19.3%
신림동 96
 
1.7%
대방동 89
 
1.6%
아현동 73
 
1.3%
신당동 71
 
1.3%
숭인동 71
 
1.3%
서울산업정보학교 65
 
1.2%
종로산업정보학교 63
 
1.1%
갈현동 62
 
1.1%
아현직업학교 61
 
1.1%
Other values (388) 3883
69.1%
2024-05-03T22:15:50.464580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2950
 
7.8%
) 2818
 
7.5%
( 2818
 
7.5%
2785
 
7.4%
학 2387
 
6.3%
교 2241
 
6.0%
/ 2144
 
5.7%
등 1881
 
5.0%
고 1876
 
5.0%
서 554
 
1.5%
Other values (228) 15188
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26575
70.6%
Close Punctuation 2818
 
7.5%
Open Punctuation 2818
 
7.5%
Space Separator 2785
 
7.4%
Other Punctuation 2229
 
5.9%
Decimal Number 391
 
1.0%
Dash Punctuation 26
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2950
 
11.1%
학 2387
 
9.0%
교 2241
 
8.4%
등 1881
 
7.1%
고 1876
 
7.1%
서 554
 
2.1%
신 551
 
2.1%
정 442
 
1.7%
업 438
 
1.6%
울 433
 
1.6%
Other values (215) 12822
48.2%
Decimal Number
ValueCountFrequency (%)
3 96
24.6%
1 94
24.0%
2 92
23.5%
0 42
10.7%
4 42
10.7%
6 19
 
4.9%
8 6
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/ 2144
96.2%
, 85
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 2818
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2818
100.0%
Space Separator
ValueCountFrequency (%)
2785
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26575
70.6%
Common 11067
29.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2950
 
11.1%
학 2387
 
9.0%
교 2241
 
8.4%
등 1881
 
7.1%
고 1876
 
7.1%
서 554
 
2.1%
신 551
 
2.1%
정 442
 
1.7%
업 438
 
1.6%
울 433
 
1.6%
Other values (215) 12822
48.2%
Common
ValueCountFrequency (%)
) 2818
25.5%
( 2818
25.5%
2785
25.2%
/ 2144
19.4%
3 96
 
0.9%
1 94
 
0.8%
2 92
 
0.8%
, 85
 
0.8%
0 42
 
0.4%
4 42
 
0.4%
Other values (3) 51
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26575
70.6%
ASCII 11067
29.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2950
 
11.1%
학 2387
 
9.0%
교 2241
 
8.4%
등 1881
 
7.1%
고 1876
 
7.1%
서 554
 
2.1%
신 551
 
2.1%
정 442
 
1.7%
업 438
 
1.6%
울 433
 
1.6%
Other values (215) 12822
48.2%
ASCII
ValueCountFrequency (%)
) 2818
25.5%
( 2818
25.5%
2785
25.2%
/ 2144
19.4%
3 96
 
0.9%
1 94
 
0.8%
2 92
 
0.8%
, 85
 
0.8%
0 42
 
0.4%
4 42
 
0.4%
Other values (3) 51
 
0.5%

적재일시
Real number (ℝ)

Distinct18
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20231192
Minimum20230615
Maximum20240414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.1 KiB
2024-05-03T22:15:50.892422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230615
95-th percentile20240225
Maximum20240414
Range9799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2271.6337
Coefficient of variation (CV)0.00011228373
Kurtosis12.199259
Mean20231192
Median Absolute Deviation (MAD)0
Skewness3.7653996
Sum5.7537511 × 1010
Variance5160319.5
MonotonicityNot monotonic
2024-05-03T22:15:51.259509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20230615 2276
80.0%
20230627 219
 
7.7%
20240324 59
 
2.1%
20230629 48
 
1.7%
20230709 38
 
1.3%
20240225 37
 
1.3%
20230705 30
 
1.1%
20240310 26
 
0.9%
20240414 26
 
0.9%
20240303 18
 
0.6%
Other values (8) 67
 
2.4%
ValueCountFrequency (%)
20230615 2276
80.0%
20230623 4
 
0.1%
20230627 219
 
7.7%
20230628 4
 
0.1%
20230629 48
 
1.7%
20230702 5
 
0.2%
20230705 30
 
1.1%
20230709 38
 
1.3%
20230903 13
 
0.5%
20231001 16
 
0.6%
ValueCountFrequency (%)
20240414 26
0.9%
20240324 59
2.1%
20240310 26
0.9%
20240303 18
 
0.6%
20240225 37
1.3%
20231217 11
 
0.4%
20231112 5
 
0.2%
20231015 9
 
0.3%
20231001 16
 
0.6%
20230903 13
 
0.5%

Interactions

2024-05-03T22:15:34.514015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:15:34.063417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:15:34.839947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:15:34.253070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T22:15:51.808118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교종류명설립구분표준학교코드남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명주야과정계열명적재일시
학교종류명1.0000.4020.7880.2710.6570.0000.7360.4580.4480.7850.3310.8700.654
설립구분0.4021.0000.8980.5800.2000.0900.1710.8500.0830.0610.1980.6060.611
표준학교코드0.7880.8981.0000.0830.2010.0000.5980.5480.0770.0000.0000.897NaN
남녀공학구분명0.2710.5800.0831.0000.3930.0530.5860.2370.5680.0490.0620.5840.077
고등학교구분명0.6570.2000.2010.3931.0000.0930.6900.4580.6510.0630.0330.9210.147
산업체특별학급존재여부0.0000.0900.0000.0530.0931.0000.065NaN0.0510.0000.0910.301NaN
고등학교일반실업구분명0.7360.1710.5980.5860.6900.0651.0000.9910.8690.0480.0850.8700.049
특수목적고등학교계열명0.4580.8500.5480.2370.458NaN0.9911.000NaNNaNNaN1.0000.989
입시전후기구분명0.4480.0830.0770.5680.6510.0510.869NaN1.0000.1360.2530.7940.045
주야구분명0.7850.0610.0000.0490.0630.0000.048NaN0.1361.0000.2590.4070.169
주야과정0.3310.1980.0000.0620.0330.0910.085NaN0.2530.2591.0000.2190.109
계열명0.8700.6060.8970.5840.9210.3010.8701.0000.7940.4070.2191.0000.935
적재일시0.6540.611NaN0.0770.147NaN0.0490.9890.0450.1690.1090.9351.000
2024-05-03T22:15:52.223891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산업체특별학급존재여부입시전후기구분명고등학교일반실업구분명주야구분명학교종류명계열명주야과정특수목적고등학교계열명남녀공학구분명고등학교구분명설립구분
산업체특별학급존재여부1.0000.0840.1070.0000.0000.2370.1511.0000.0870.1140.148
입시전후기구분명0.0841.0000.5620.2240.3190.6080.0821.0000.2480.6170.024
고등학교일반실업구분명0.1070.5621.0000.0790.6340.7200.0250.9060.2620.6680.053
주야구분명0.0000.2240.0791.0000.6070.3210.4211.0000.0810.0770.101
학교종류명0.0000.3190.6340.6071.0000.5790.2230.3270.1780.5180.280
계열명0.2370.6080.7200.3210.5791.0000.1170.9780.3770.7610.398
주야과정0.1510.0820.0250.4210.2230.1171.0001.0000.0180.0250.062
특수목적고등학교계열명1.0001.0000.9061.0000.3270.9781.0001.0000.1680.3270.540
남녀공학구분명0.0870.2480.2620.0810.1780.3770.0180.1681.0000.3240.257
고등학교구분명0.1140.6170.6680.0770.5180.7610.0250.3270.3241.0000.153
설립구분0.1480.0240.0530.1010.2800.3980.0620.5400.2570.1531.000
2024-05-03T22:15:52.582400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표준학교코드적재일시학교종류명설립구분남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명주야과정계열명
표준학교코드1.0000.2600.7060.6120.0250.2450.0000.2710.3930.0230.0000.0000.765
적재일시0.2601.0000.0760.0860.1110.0820.0150.0880.3070.1550.0180.0150.322
학교종류명0.7060.0761.0000.2800.1780.5180.0000.6340.3270.3190.6070.2230.579
설립구분0.6120.0860.2801.0000.2570.1530.1480.0530.5400.0240.1010.0620.398
남녀공학구분명0.0250.1110.1780.2571.0000.3240.0870.2620.1680.2480.0810.0180.377
고등학교구분명0.2450.0820.5180.1530.3241.0000.1140.6680.3270.6170.0770.0250.761
산업체특별학급존재여부0.0000.0150.0000.1480.0870.1141.0000.1071.0000.0840.0000.1510.237
고등학교일반실업구분명0.2710.0880.6340.0530.2620.6680.1071.0000.9060.5620.0790.0250.720
특수목적고등학교계열명0.3930.3070.3270.5400.1680.3271.0000.9061.0001.0001.0001.0000.978
입시전후기구분명0.0230.1550.3190.0240.2480.6170.0840.5621.0001.0000.2240.0820.608
주야구분명0.0000.0180.6070.1010.0810.0770.0000.0791.0000.2241.0000.4210.321
주야과정0.0000.0150.2230.0620.0180.0250.1510.0251.0000.0820.4211.0000.117
계열명0.7650.3220.5790.3980.3770.7610.2370.7200.9780.6080.3210.1171.000

Missing values

2024-05-03T22:15:35.106125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T22:15:35.605458image/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

학교종류명설립구분표준학교코드학교명영문학교명남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명주야과정계열명학과명도로명주소도로명상세주소적재일시
0각종학교(고)사립7041275지구촌학교 고등학교Global School남여공학<NA>N<NA><NA>전기주간주간일반계일반학과서울특별시 구로구 오리로 1189(오류동, 금강프라자)20230615
1고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간공업계멀티미디어통신과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
2고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간공업계웹미디어과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
3고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간공업계인터넷과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
4고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간공업계전자계산과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
5고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간공업계프로그래밍과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
6고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간특성화뉴미디어디자인과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
7고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간특성화뉴미디어소프트웨어과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
8고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간공업계멀티미디어과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
9고등학교사립7011569미림마이스터고등학교Mirim Meister High School남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간주간공업계게임애니메이션과서울특별시 관악구 호암로 546미림마이스터고등학교20240310
학교종류명설립구분표준학교코드학교명영문학교명남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명주야과정계열명학과명도로명주소도로명상세주소적재일시
2834고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS남여공학특목고N일반계예술계열전기주간주간예술계음악연극과서울특별시 금천구 시흥대로38길 62(시흥동)20230615
2835고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS남여공학특목고N일반계예술계열전기주간주간예술계작곡이론과서울특별시 금천구 시흥대로38길 62(시흥동)20230615
2836고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS남여공학특목고N일반계예술계열전기주간주간예술계창작연희과서울특별시 금천구 시흥대로38길 62(시흥동)20230615
2837고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS남여공학특목고N일반계예술계열전기주간주간예술계기악과서울특별시 금천구 시흥대로38길 62(시흥동)20230615
2838고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS남여공학특목고N일반계예술계열전기주간주간예술계무용과서울특별시 금천구 시흥대로38길 62(시흥동)20230615
2839고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS남여공학특목고N일반계예술계열전기주간주간예술계성악과서울특별시 금천구 시흥대로38길 62(시흥동)20230615
2840고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS남여공학특목고N일반계예술계열전기주간주간예술계타악과서울특별시 금천구 시흥대로38길 62(시흥동)20230615
2841고등학교국립1371661국립국악고등학교Gugak National High School남여공학특목고N일반계예술계열전기주간주간예술계무용과서울특별시 강남구 개포로22길 65(개포동/ 국악고등학교)20230615
2842고등학교국립1371661국립국악고등학교Gugak National High School남여공학특목고N일반계예술계열전기주간주간예술계국악과서울특별시 강남구 개포로22길 65(개포동/ 국악고등학교)20230615
2843공동실습소공립0경기기계공업고등학교부설미래기술교육센터.남여공학<NA>N해당없음<NA>전기주간주간기계공동실습소공동실습소서울특별시 노원구 공릉로 264(하계동/ 경기기계공업고등학교)20230615

Duplicate rows

Most frequently occurring

학교종류명설립구분표준학교코드학교명영문학교명남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명주야과정계열명학과명도로명주소도로명상세주소적재일시# duplicates
0각종학교(고)공립7010566아현산업정보학교Ahyeon Vocational School남여공학특성화고N전문계<NA>전기주간주간통합계웹미디어과서울특별시 마포구 마포대로 249(아현동/ 아현산업정보학교/ 아현직업학교)202306272