Overview

Dataset statistics

Number of variables28
Number of observations88
Missing cells37
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory230.5 B

Variable types

Categorical17
Numeric4
Text6
Boolean1

Dataset

Description학교종류명,설립구분,표준학교코드,학교명,영문학교명,관할조직명,도로명우편번호,도로명주소,도로명상세주소,전화번호,홈페이지주소,팩스번호,남녀공학구분명,고등학교구분명,산업체특별학급존재여부,고등학교일반실업구분명,특수목적고등학교계열명,입시전후기구분명,주야구분명,설립일자,개교기념일,시도교육청코드,시도교육청명,소재지명,주야과정,계열명,학과명,적재일시
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20512/S/1/datasetView.do

Alerts

산업체특별학급존재여부 has constant value ""Constant
주야구분명 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청명 has constant value ""Constant
소재지명 has constant value ""Constant
특수목적고등학교계열명 is highly imbalanced (64.1%)Imbalance
적재일시 is highly imbalanced (69.2%)Imbalance
학과명 has 37 (42.0%) missing valuesMissing

Reproduction

Analysis started2024-05-04 00:32:00.181223
Analysis finished2024-05-04 00:32:01.073962
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
고등학교
51 
초등학교
23 
중학교
13 
특수학교
 
1

Length

Max length4
Median length4
Mean length3.8522727
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 51
58.0%
초등학교 23
26.1%
중학교 13
 
14.8%
특수학교 1
 
1.1%

Length

2024-05-04T00:32:01.230005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:01.526587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 51
58.0%
초등학교 23
26.1%
중학교 13
 
14.8%
특수학교 1
 
1.1%

설립구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
공립
52 
사립
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 52
59.1%
사립 36
40.9%

Length

2024-05-04T00:32:01.762592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:02.070123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 52
59.1%
사립 36
40.9%

표준학교코드
Real number (ℝ)

Distinct46
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7027261.8
Minimum7010188
Maximum7051213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-04T00:32:02.426786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010188
5-th percentile7010188
Q17010888
median7011084
Q37051152.5
95-th percentile7051198.2
Maximum7051213
Range41025
Interquartile range (IQR)40264.5

Descriptive statistics

Standard deviation20001.85
Coefficient of variation (CV)0.002846322
Kurtosis-1.9017666
Mean7027261.8
Median Absolute Deviation (MAD)895
Skewness0.3755767
Sum6.1839904 × 108
Variance4.00074 × 108
MonotonicityDecreasing
2024-05-04T00:32:02.847711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
7010888 15
17.0%
7011084 15
17.0%
7010237 7
 
8.0%
7010188 6
 
6.8%
7010189 4
 
4.5%
7051213 1
 
1.1%
7051118 1
 
1.1%
7051141 1
 
1.1%
7051140 1
 
1.1%
7051138 1
 
1.1%
Other values (36) 36
40.9%
ValueCountFrequency (%)
7010188 6
 
6.8%
7010189 4
 
4.5%
7010237 7
8.0%
7010562 1
 
1.1%
7010589 1
 
1.1%
7010703 1
 
1.1%
7010766 1
 
1.1%
7010888 15
17.0%
7011084 15
17.0%
7011484 1
 
1.1%
ValueCountFrequency (%)
7051213 1
1.1%
7051207 1
1.1%
7051206 1
1.1%
7051205 1
1.1%
7051201 1
1.1%
7051193 1
1.1%
7051192 1
1.1%
7051190 1
1.1%
7051183 1
1.1%
7051182 1
1.1%

학교명
Text

Distinct46
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-04T00:32:03.331994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.125
Min length5

Characters and Unicode

Total characters715
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)46.6%

Sample

1st row효문중학교
2nd row창일중학교
3rd row창북중학교
4th row창동중학교
5th row정의여자중학교
ValueCountFrequency (%)
서울문화고등학교 15
17.0%
세그루패션디자인고등학교 15
17.0%
정의여자고등학교 7
 
8.0%
서울외국어고등학교 6
 
6.8%
선덕고등학교 4
 
4.5%
서울방학초등학교 1
 
1.1%
서울쌍문초등학교 1
 
1.1%
서울도봉초등학교 1
 
1.1%
서울신화초등학교 1
 
1.1%
서울신학초등학교 1
 
1.1%
Other values (36) 36
40.9%
2024-05-04T00:32:04.272865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 93
 
13.0%
교 88
 
12.3%
등 74
 
10.3%
고 51
 
7.1%
서 44
 
6.2%
울 44
 
6.2%
자 25
 
3.5%
초 24
 
3.4%
문 18
 
2.5%
화 16
 
2.2%
Other values (43) 238
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 715
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 93
 
13.0%
교 88
 
12.3%
등 74
 
10.3%
고 51
 
7.1%
서 44
 
6.2%
울 44
 
6.2%
자 25
 
3.5%
초 24
 
3.4%
문 18
 
2.5%
화 16
 
2.2%
Other values (43) 238
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 715
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 93
 
13.0%
교 88
 
12.3%
등 74
 
10.3%
고 51
 
7.1%
서 44
 
6.2%
울 44
 
6.2%
자 25
 
3.5%
초 24
 
3.4%
문 18
 
2.5%
화 16
 
2.2%
Other values (43) 238
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 715
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 93
 
13.0%
교 88
 
12.3%
등 74
 
10.3%
고 51
 
7.1%
서 44
 
6.2%
울 44
 
6.2%
자 25
 
3.5%
초 24
 
3.4%
문 18
 
2.5%
화 16
 
2.2%
Other values (43) 238
33.3%

영문학교명
Text

Distinct46
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-04T00:32:04.639293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length27.772727
Min length16

Characters and Unicode

Total characters2444
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)46.6%

Sample

1st rowHyomun Middle School
2nd rowChang-il Middle School
3rd rowChangbook Middle School
4th rowChangdong Middle School
5th rowJeongeui Girls’ Middle School
ValueCountFrequency (%)
school 87
24.5%
high 51
14.4%
seoul 42
11.8%
elementary 23
 
6.5%
segeuru 15
 
4.2%
design 15
 
4.2%
fashion 15
 
4.2%
culture 15
 
4.2%
middle 13
 
3.7%
girls’ 8
 
2.3%
Other values (37) 71
20.0%
2024-05-04T00:32:05.313739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 284
11.6%
267
10.9%
l 195
 
8.0%
e 188
 
7.7%
h 173
 
7.1%
S 159
 
6.5%
g 137
 
5.6%
u 136
 
5.6%
i 128
 
5.2%
n 125
 
5.1%
Other values (26) 652
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1809
74.0%
Uppercase Letter 357
 
14.6%
Space Separator 267
 
10.9%
Final Punctuation 8
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 284
15.7%
l 195
10.8%
e 188
10.4%
h 173
9.6%
g 137
7.6%
u 136
7.5%
i 128
7.1%
n 125
6.9%
c 95
 
5.3%
a 79
 
4.4%
Other values (9) 269
14.9%
Uppercase Letter
ValueCountFrequency (%)
S 159
44.5%
H 54
 
15.1%
E 30
 
8.4%
C 26
 
7.3%
F 21
 
5.9%
D 19
 
5.3%
M 13
 
3.6%
J 10
 
2.8%
G 9
 
2.5%
L 6
 
1.7%
Other values (4) 10
 
2.8%
Space Separator
ValueCountFrequency (%)
267
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2166
88.6%
Common 278
 
11.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 284
13.1%
l 195
 
9.0%
e 188
 
8.7%
h 173
 
8.0%
S 159
 
7.3%
g 137
 
6.3%
u 136
 
6.3%
i 128
 
5.9%
n 125
 
5.8%
c 95
 
4.4%
Other values (23) 546
25.2%
Common
ValueCountFrequency (%)
267
96.0%
’ 8
 
2.9%
- 3
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2436
99.7%
Punctuation 8
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 284
11.7%
267
11.0%
l 195
 
8.0%
e 188
 
7.7%
h 173
 
7.1%
S 159
 
6.5%
g 137
 
5.6%
u 136
 
5.6%
i 128
 
5.3%
n 125
 
5.1%
Other values (25) 644
26.4%
Punctuation
ValueCountFrequency (%)
’ 8
100.0%

관할조직명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
서울특별시교육청
52 
서울특별시북부교육지원청
36 

Length

Max length12
Median length8
Mean length9.6363636
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 52
59.1%
서울특별시북부교육지원청 36
40.9%

Length

2024-05-04T00:32:05.804463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:06.148693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 52
59.1%
서울특별시북부교육지원청 36
40.9%

도로명우편번호
Real number (ℝ)

Distinct34
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1387.8636
Minimum1301
Maximum1489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-04T00:32:06.457726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301
5-th percentile1316.7
Q11338
median1375
Q31432
95-th percentile1489
Maximum1489
Range188
Interquartile range (IQR)94

Descriptive statistics

Standard deviation52.379513
Coefficient of variation (CV)0.037741109
Kurtosis-0.67721165
Mean1387.8636
Median Absolute Deviation (MAD)37
Skewness0.53666663
Sum122132
Variance2743.6134
MonotonicityNot monotonic
2024-05-04T00:32:06.822859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1375 21
23.9%
1338 17
19.3%
1438 9
 
10.2%
1489 6
 
6.8%
1372 2
 
2.3%
1483 2
 
2.3%
1424 2
 
2.3%
1432 2
 
2.3%
1318 2
 
2.3%
1368 1
 
1.1%
Other values (24) 24
27.3%
ValueCountFrequency (%)
1301 1
 
1.1%
1305 1
 
1.1%
1310 1
 
1.1%
1313 1
 
1.1%
1316 1
 
1.1%
1318 2
 
2.3%
1329 1
 
1.1%
1338 17
19.3%
1357 1
 
1.1%
1358 1
 
1.1%
ValueCountFrequency (%)
1489 6
6.8%
1486 1
 
1.1%
1483 2
 
2.3%
1482 1
 
1.1%
1480 1
 
1.1%
1443 1
 
1.1%
1438 9
10.2%
1432 2
 
2.3%
1427 1
 
1.1%
1424 2
 
2.3%

도로명주소
Categorical

Distinct40
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
서울특별시 도봉구 시루봉로 53
21 
서울특별시 도봉구 마들로 598
15 
서울특별시 도봉구 노해로49길 69
9 
서울특별시 도봉구 덕릉로66길 22
6 
서울특별시 도봉구 우이천로 432
 
2
Other values (35)
35 

Length

Max length22
Median length21
Mean length18.113636
Min length16

Unique

Unique35 ?
Unique (%)39.8%

Sample

1st row서울특별시 도봉구 우이천로 432
2nd row서울특별시 도봉구 노해로66길 60
3rd row서울특별시 도봉구 노해로62길 33
4th row서울특별시 도봉구 방학로 32
5th row서울특별시 도봉구 노해로49길 69

Common Values

ValueCountFrequency (%)
서울특별시 도봉구 시루봉로 53 21
23.9%
서울특별시 도봉구 마들로 598 15
17.0%
서울특별시 도봉구 노해로49길 69 9
 
10.2%
서울특별시 도봉구 덕릉로66길 22 6
 
6.8%
서울특별시 도봉구 우이천로 432 2
 
2.3%
서울특별시 도봉구 노해로70길 95 1
 
1.1%
서울특별시 도봉구 해등로32길 11 1
 
1.1%
서울특별시 도봉구 방학로 32 1
 
1.1%
서울특별시 도봉구 도봉로169가길 33 1
 
1.1%
서울특별시 도봉구 도봉로129길 50 1
 
1.1%
Other values (30) 30
34.1%

Length

2024-05-04T00:32:07.238601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 88
25.0%
도봉구 88
25.0%
시루봉로 25
 
7.1%
53 21
 
6.0%
마들로 18
 
5.1%
598 15
 
4.3%
노해로49길 9
 
2.6%
69 9
 
2.6%
덕릉로66길 6
 
1.7%
22 6
 
1.7%
Other values (55) 67
19.0%

도로명상세주소
Categorical

Distinct38
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
/ 서울문화고등학교 (방학동)
15 
/ 세그루패션디자인고등학교 (쌍문동)
15 
(창동)
9 
(쌍문동/정의여자고등학교)
7 
/ 선덕고등학교 (쌍문동)
4 
Other values (33)
38 

Length

Max length23
Median length16
Mean length13.375
Min length4

Unique

Unique30 ?
Unique (%)34.1%

Sample

1st row(쌍문동/ 효문중 고등학교)
2nd row(창동/창일중학교)
3rd row(창동/창북중학교)
4th row/ 창동중학교 (방학동)
5th row/ 정의여자중학교 (쌍문동)

Common Values

ValueCountFrequency (%)
/ 서울문화고등학교 (방학동) 15
17.0%
/ 세그루패션디자인고등학교 (쌍문동) 15
17.0%
(창동) 9
 
10.2%
(쌍문동/정의여자고등학교) 7
 
8.0%
/ 선덕고등학교 (쌍문동) 4
 
4.5%
(쌍문동) 3
 
3.4%
(도봉동) 3
 
3.4%
(방학동) 2
 
2.3%
(도봉동/도봉중학교) 1
 
1.1%
(방학동/ 서울창도초등학교) 1
 
1.1%
Other values (28) 28
31.8%

Length

2024-05-04T00:32:07.645231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
49
25.5%
쌍문동 26
13.5%
방학동 23
12.0%
서울문화고등학교 15
 
7.8%
세그루패션디자인고등학교 15
 
7.8%
창동 14
 
7.3%
쌍문동/정의여자고등학교 7
 
3.6%
도봉동 6
 
3.1%
선덕고등학교 4
 
2.1%
고등학교 2
 
1.0%
Other values (31) 31
16.1%

전화번호
Text

Distinct46
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-04T00:32:08.101546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.954545
Min length9

Characters and Unicode

Total characters964
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)46.6%

Sample

1st row02-999-1785
2nd row02-994-5934
3rd row02-907-8244
4th row02-2289-6600
5th row02-3499-5300
ValueCountFrequency (%)
02-955-9100 15
17.0%
02-993-0211 15
17.0%
02-992-5104 7
 
8.0%
1670-1005 6
 
6.8%
02-997-4111 4
 
4.5%
02-3491-6361 1
 
1.1%
02-992-5672 1
 
1.1%
02-6011-3120 1
 
1.1%
02-992-9031 1
 
1.1%
02-956-2802 1
 
1.1%
Other values (36) 36
40.9%
2024-05-04T00:32:08.958489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 183
19.0%
- 170
17.6%
9 153
15.9%
2 133
13.8%
1 98
10.2%
5 77
8.0%
3 43
 
4.5%
4 32
 
3.3%
6 32
 
3.3%
7 25
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 794
82.4%
Dash Punctuation 170
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 183
23.0%
9 153
19.3%
2 133
16.8%
1 98
12.3%
5 77
9.7%
3 43
 
5.4%
4 32
 
4.0%
6 32
 
4.0%
7 25
 
3.1%
8 18
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 964
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 183
19.0%
- 170
17.6%
9 153
15.9%
2 133
13.8%
1 98
10.2%
5 77
8.0%
3 43
 
4.5%
4 32
 
3.3%
6 32
 
3.3%
7 25
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 183
19.0%
- 170
17.6%
9 153
15.9%
2 133
13.8%
1 98
10.2%
5 77
8.0%
3 43
 
4.5%
4 32
 
3.3%
6 32
 
3.3%
7 25
 
2.6%

홈페이지주소
Text

Distinct46
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-04T00:32:09.399839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length23.897727
Min length19

Characters and Unicode

Total characters2103
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)46.6%

Sample

1st rowhttp://hyomun.ms.kr
2nd rowhttp://www.changil.ms.kr
3rd rowhttp://www.changbook.ms.kr
4th rowhttp://www.changdong.ms.kr
5th rowhttp://www.jeongeui.ms.kr
ValueCountFrequency (%)
http://seoulculture.sen.hs.kr 15
17.0%
http://sfd.sen.hs.kr 15
17.0%
http://jeongeui.sen.hs.kr 7
 
8.0%
http://sfl.sen.hs.kr 6
 
6.8%
http://sunduck.sen.hs.kr 4
 
4.5%
http://banghakcho.es.kr 1
 
1.1%
http://www.ssangmun.es.kr 1
 
1.1%
http://dobong.sen.es.kr 1
 
1.1%
http://www.sinhwa.es.kr 1
 
1.1%
http://www.seoulsinhak.es.kr 1
 
1.1%
Other values (36) 36
40.9%
2024-05-04T00:32:10.279010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 262
12.5%
s 211
 
10.0%
t 189
 
9.0%
/ 174
 
8.3%
h 161
 
7.7%
e 136
 
6.5%
n 120
 
5.7%
r 103
 
4.9%
k 102
 
4.9%
: 87
 
4.1%
Other values (16) 558
26.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1578
75.0%
Other Punctuation 523
 
24.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 211
13.4%
t 189
12.0%
h 161
10.2%
e 136
8.6%
n 120
 
7.6%
r 103
 
6.5%
k 102
 
6.5%
p 87
 
5.5%
w 80
 
5.1%
u 75
 
4.8%
Other values (12) 314
19.9%
Other Punctuation
ValueCountFrequency (%)
. 262
50.1%
/ 174
33.3%
: 87
 
16.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1578
75.0%
Common 525
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 211
13.4%
t 189
12.0%
h 161
10.2%
e 136
8.6%
n 120
 
7.6%
r 103
 
6.5%
k 102
 
6.5%
p 87
 
5.5%
w 80
 
5.1%
u 75
 
4.8%
Other values (12) 314
19.9%
Common
ValueCountFrequency (%)
. 262
49.9%
/ 174
33.1%
: 87
 
16.6%
- 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 262
12.5%
s 211
 
10.0%
t 189
 
9.0%
/ 174
 
8.3%
h 161
 
7.7%
e 136
 
6.5%
n 120
 
5.7%
r 103
 
4.9%
k 102
 
4.9%
: 87
 
4.1%
Other values (16) 558
26.5%

팩스번호
Text

Distinct46
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-04T00:32:10.724556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.227273
Min length11

Characters and Unicode

Total characters988
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)46.6%

Sample

1st row02-999-1341
2nd row02-991-8804
3rd row02-991-9044
4th row02-954-8470
5th row02-991-7493
ValueCountFrequency (%)
02-3491-7697 15
17.0%
02-998-7912 15
17.0%
02-991-0876 7
 
8.0%
02-994-2435 6
 
6.8%
02-994-1797 4
 
4.5%
02-3492-2226 1
 
1.1%
02-998-9510 1
 
1.1%
02-955-6413 1
 
1.1%
02-991-3484 1
 
1.1%
02-3491-9163 1
 
1.1%
Other values (36) 36
40.9%
2024-05-04T00:32:11.353621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 194
19.6%
- 176
17.8%
2 135
13.7%
0 118
11.9%
7 71
 
7.2%
4 63
 
6.4%
1 59
 
6.0%
8 47
 
4.8%
3 45
 
4.6%
6 43
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 812
82.2%
Dash Punctuation 176
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 194
23.9%
2 135
16.6%
0 118
14.5%
7 71
 
8.7%
4 63
 
7.8%
1 59
 
7.3%
8 47
 
5.8%
3 45
 
5.5%
6 43
 
5.3%
5 37
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 988
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 194
19.6%
- 176
17.8%
2 135
13.7%
0 118
11.9%
7 71
 
7.2%
4 63
 
6.4%
1 59
 
6.0%
8 47
 
4.8%
3 45
 
4.6%
6 43
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 194
19.6%
- 176
17.8%
2 135
13.7%
0 118
11.9%
7 71
 
7.2%
4 63
 
6.4%
1 59
 
6.0%
8 47
 
4.8%
3 45
 
4.6%
6 43
 
4.4%

남녀공학구분명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
남여공학
61 
여
23 
남
 
4

Length

Max length4
Median length4
Mean length3.0795455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 61
69.3%
여 23
 
26.1%
남 4
 
4.5%

Length

2024-05-04T00:32:11.697527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:11.896239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 61
69.3%
여 23
 
26.1%
남 4
 
4.5%

고등학교구분명
Categorical

Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
37 
특성화고
30 
일반고
11 
특목고
6 
자율고
4 

Length

Max length4
Median length4
Mean length3.7613636
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
42.0%
특성화고 30
34.1%
일반고 11
 
12.5%
특목고 6
 
6.8%
자율고 4
 
4.5%

Length

2024-05-04T00:32:12.157555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:12.568154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
42.0%
특성화고 30
34.1%
일반고 11
 
12.5%
특목고 6
 
6.8%
자율고 4
 
4.5%

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size220.0 B
False
88 
ValueCountFrequency (%)
False 88
100.0%
2024-05-04T00:32:12.755687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
일반계
55 
전문계
30 
해당없음
 
2
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0340909
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 55
62.5%
전문계 30
34.1%
해당없음 2
 
2.3%
<NA> 1
 
1.1%

Length

2024-05-04T00:32:12.935799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:13.125439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 55
62.5%
전문계 30
34.1%
해당없음 2
 
2.3%
na 1
 
1.1%

특수목적고등학교계열명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
82 
외국어계열
 
6

Length

Max length5
Median length4
Mean length4.0681818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
93.2%
외국어계열 6
 
6.8%

Length

2024-05-04T00:32:13.443799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:13.711477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
93.2%
외국어계열 6
 
6.8%

입시전후기구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
전기
77 
후기
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 77
87.5%
후기 11
 
12.5%

Length

2024-05-04T00:32:13.983184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:14.285661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 77
87.5%
후기 11
 
12.5%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
주간
88 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 88
100.0%

Length

2024-05-04T00:32:14.606132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:14.903407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 88
100.0%

설립일자
Real number (ℝ)

Distinct44
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19829915
Minimum19300401
Maximum20190901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-04T00:32:15.237474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19300401
5-th percentile19697430
Q119741227
median19831226
Q319900716
95-th percentile20026753
Maximum20190901
Range890500
Interquartile range (IQR)159489

Descriptive statistics

Standard deviation116405.26
Coefficient of variation (CV)0.0058701844
Kurtosis4.5564656
Mean19829915
Median Absolute Deviation (MAD)83985.5
Skewness-0.46287694
Sum1.7450325 × 109
Variance1.3550184 × 1010
MonotonicityNot monotonic
2024-05-04T00:32:15.707909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
19831226 15
17.0%
19741227 15
17.0%
19760305 7
 
8.0%
19931005 6
 
6.8%
19821003 4
 
4.5%
19930720 2
 
2.3%
19900716 2
 
2.3%
20060301 1
 
1.1%
19710105 1
 
1.1%
19860424 1
 
1.1%
Other values (34) 34
38.6%
ValueCountFrequency (%)
19300401 1
 
1.1%
19640404 1
 
1.1%
19660628 1
 
1.1%
19680806 1
 
1.1%
19690605 1
 
1.1%
19710105 1
 
1.1%
19710130 1
 
1.1%
19710901 1
 
1.1%
19740430 1
 
1.1%
19741227 15
17.0%
ValueCountFrequency (%)
20190901 1
1.1%
20060301 1
1.1%
20051229 1
1.1%
20031230 1
1.1%
20030106 1
1.1%
20020527 1
1.1%
20020301 1
1.1%
20000301 1
1.1%
19970604 1
1.1%
19970105 1
1.1%

개교기념일
Real number (ℝ)

Distinct45
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19828467
Minimum19300401
Maximum20190901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-04T00:32:16.105802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19300401
5-th percentile19684362
Q119740915
median19840507
Q319901114
95-th percentile20036952
Maximum20190901
Range890500
Interquartile range (IQR)160199.25

Descriptive statistics

Standard deviation124500.9
Coefficient of variation (CV)0.0062788971
Kurtosis3.8697671
Mean19828467
Median Absolute Deviation (MAD)85248.5
Skewness-0.62817542
Sum1.7449051 × 109
Variance1.5500475 × 1010
MonotonicityNot monotonic
2024-05-04T00:32:16.524742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
19840507 15
17.0%
19740915 15
17.0%
19761007 7
 
8.0%
19931005 6
 
6.8%
19830305 4
 
4.5%
19821007 2
 
2.3%
20060301 1
 
1.1%
19931111 1
 
1.1%
19880504 1
 
1.1%
19710512 1
 
1.1%
Other values (35) 35
39.8%
ValueCountFrequency (%)
19300401 1
1.1%
19451101 1
1.1%
19640915 1
1.1%
19660905 1
1.1%
19681001 1
1.1%
19690605 1
1.1%
19710130 1
1.1%
19710512 1
1.1%
19711025 1
1.1%
19740430 1
1.1%
ValueCountFrequency (%)
20190901 1
1.1%
20060605 1
1.1%
20060301 1
1.1%
20040514 1
1.1%
20040423 1
1.1%
20030506 1
1.1%
20020301 1
1.1%
20001101 1
1.1%
20000301 1
1.1%
19970611 1
1.1%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
B10
88 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB10
2nd rowB10
3rd rowB10
4th rowB10
5th rowB10

Common Values

ValueCountFrequency (%)
B10 88
100.0%

Length

2024-05-04T00:32:16.901443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:17.150545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 88
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
서울특별시교육청
88 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 88
100.0%

Length

2024-05-04T00:32:17.336857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:17.561115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 88
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
서울특별시
88 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 88
100.0%

Length

2024-05-04T00:32:17.762655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:17.960598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 88
100.0%

주야과정
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
주간
51 
<NA>
37 

Length

Max length4
Median length2
Mean length2.8409091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 51
58.0%
<NA> 37
42.0%

Length

2024-05-04T00:32:18.206643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:18.410848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 51
58.0%
na 37
42.0%

계열명
Categorical

Distinct6
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
37 
특성화
15 
일반계
15 
상업계
12 
외국어계
6 

Length

Max length4
Median length3
Mean length3.4886364
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
42.0%
특성화 15
17.0%
일반계 15
17.0%
상업계 12
 
13.6%
외국어계 6
 
6.8%
가사계 3
 
3.4%

Length

2024-05-04T00:32:18.726638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:19.068329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
42.0%
특성화 15
17.0%
일반계 15
17.0%
상업계 12
 
13.6%
외국어계 6
 
6.8%
가사계 3
 
3.4%

학과명
Text

MISSING 

Distinct38
Distinct (%)74.5%
Missing37
Missing (%)42.0%
Memory size836.0 B
2024-05-04T00:32:19.401082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.6078431
Min length3

Characters and Unicode

Total characters286
Distinct characters83
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

Unique30 ?
Unique (%)58.8%

Sample

1st row사이버경영정보과
2nd row관광과
3rd row의상과
4th row의상패션디자인과
5th row경영정보과
ValueCountFrequency (%)
일반학과 6
 
11.8%
정보처리과 3
 
5.9%
공통과정 2
 
3.9%
인문사회과정 2
 
3.9%
자연과정 2
 
3.9%
정보통신과 2
 
3.9%
시각디자인과 2
 
3.9%
경영정보과 2
 
3.9%
영어과 1
 
2.0%
디지털문화콘텐츠과 1
 
2.0%
Other values (28) 28
54.9%
2024-05-04T00:32:20.212715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 51
 
17.8%
정 18
 
6.3%
인 13
 
4.5%
자 11
 
3.8%
디 10
 
3.5%
보 9
 
3.1%
일 8
 
2.8%
어 8
 
2.8%
학 6
 
2.1%
반 6
 
2.1%
Other values (73) 146
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
97.6%
Uppercase Letter 5
 
1.7%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 51
 
18.3%
정 18
 
6.5%
인 13
 
4.7%
자 11
 
3.9%
디 10
 
3.6%
보 9
 
3.2%
일 8
 
2.9%
어 8
 
2.9%
학 6
 
2.2%
반 6
 
2.2%
Other values (66) 139
49.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
M 1
20.0%
D 1
20.0%
I 1
20.0%
O 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
97.6%
Latin 5
 
1.7%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 51
 
18.3%
정 18
 
6.5%
인 13
 
4.7%
자 11
 
3.9%
디 10
 
3.6%
보 9
 
3.2%
일 8
 
2.9%
어 8
 
2.9%
학 6
 
2.2%
반 6
 
2.2%
Other values (66) 139
49.8%
Latin
ValueCountFrequency (%)
T 1
20.0%
M 1
20.0%
D 1
20.0%
I 1
20.0%
O 1
20.0%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
97.6%
ASCII 7
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 51
 
18.3%
정 18
 
6.5%
인 13
 
4.7%
자 11
 
3.9%
디 10
 
3.6%
보 9
 
3.2%
일 8
 
2.9%
어 8
 
2.9%
학 6
 
2.2%
반 6
 
2.2%
Other values (66) 139
49.8%
ASCII
ValueCountFrequency (%)
T 1
14.3%
M 1
14.3%
D 1
14.3%
I 1
14.3%
O 1
14.3%
( 1
14.3%
) 1
14.3%

적재일시
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
20230615
80 
20230705
 
7
20230627
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row20230615
2nd row20230615
3rd row20230615
4th row20230615
5th row20230615

Common Values

ValueCountFrequency (%)
20230615 80
90.9%
20230705 7
 
8.0%
20230627 1
 
1.1%

Length

2024-05-04T00:32:20.560647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:32:20.750631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230615 80
90.9%
20230705 7
 
8.0%
20230627 1
 
1.1%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
0중학교공립7051213효문중학교Hyomun Middle School서울특별시북부교육지원청1372서울특별시 도봉구 우이천로 432(쌍문동/ 효문중 고등학교)02-999-1785http://hyomun.ms.kr02-999-1341남여공학<NA>N해당없음<NA>전기주간2006030120060301B10서울특별시교육청서울특별시<NA><NA><NA>20230615
1중학교공립7051207창일중학교Chang-il Middle School서울특별시북부교육지원청1424서울특별시 도봉구 노해로66길 60(창동/창일중학교)02-994-5934http://www.changil.ms.kr02-991-8804남여공학<NA>N일반계<NA>전기주간1991012219911002B10서울특별시교육청서울특별시<NA><NA><NA>20230615
2중학교공립7051206창북중학교Changbook Middle School서울특별시북부교육지원청1483서울특별시 도봉구 노해로62길 33(창동/창북중학교)02-907-8244http://www.changbook.ms.kr02-991-9044남여공학<NA>N일반계<NA>전기주간1986121719870507B10서울특별시교육청서울특별시<NA><NA><NA>20230615
3중학교공립7051205창동중학교Changdong Middle School서울특별시북부교육지원청1338서울특별시 도봉구 방학로 32/ 창동중학교 (방학동)02-2289-6600http://www.changdong.ms.kr02-954-8470남여공학<NA>N일반계<NA>전기주간1983030119830421B10서울특별시교육청서울특별시<NA><NA><NA>20230615
4중학교사립7051201정의여자중학교Jeongeui Girls’ Middle School서울특별시북부교육지원청1438서울특별시 도봉구 노해로49길 69/ 정의여자중학교 (쌍문동)02-3499-5300http://www.jeongeui.ms.kr02-991-7493여<NA>N일반계<NA>전기주간1971013019710130B10서울특별시교육청서울특별시<NA><NA><NA>20230615
5중학교공립7051193신방학중학교Sinbanghak Middle School서울특별시북부교육지원청1359서울특별시 도봉구 시루봉로 156/ 신방학중학교 (방학동)02-956-8234http://www.sbh.ms.kr02-956-2845남여공학<NA>N일반계<NA>전기주간1994010519940504B10서울특별시교육청서울특별시<NA><NA><NA>20230615
6중학교공립7051192신도봉중학교Sindobong Middle School서울특별시북부교육지원청1443서울특별시 도봉구 도봉로115길 16(쌍문동)02-992-3462http://www.sindobong.ms.kr02-992-3468남여공학<NA>N일반계<NA>전기주간1968080619681001B10서울특별시교육청서울특별시<NA><NA><NA>20230615
7중학교사립7051190선덕중학교Sunduck Middle School서울특별시북부교육지원청1375서울특별시 도봉구 시루봉로 53/ 선덕중학교 (쌍문동)02-993-4112http://www.sunduck.ms.kr02-992-0239남여공학<NA>N일반계<NA>전기주간1979013119790915B10서울특별시교육청서울특별시<NA><NA><NA>20230615
8중학교공립7051183북서울중학교Bukseoul Middle School서울특별시북부교육지원청1305서울특별시 도봉구 도봉로169가길 33(도봉동)02-956-1004https://bukseoul.sen.ms.kr02-955-8290남여공학<NA>N일반계<NA>전기주간1984120819851208B10서울특별시교육청서울특별시<NA><NA><NA>20230615
9중학교공립7051182백운중학교Baekwoon Middle School서울특별시북부교육지원청1432서울특별시 도봉구 도봉로129길 50(쌍문동)02-998-4035http://www.baekwoon.ms.kr02-998-4034남여공학<NA>N일반계<NA>전기주간1992030119920506B10서울특별시교육청서울특별시<NA><NA><NA>20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명주야과정계열명학과명적재일시
78고등학교사립7010189선덕고등학교Sunduck High School서울특별시교육청1375서울특별시 도봉구 시루봉로 53/ 선덕고등학교 (쌍문동)02-997-4111http://sunduck.sen.hs.kr02-994-1797남자율고N일반계<NA>전기주간1982100319830305B10서울특별시교육청서울특별시주간일반계공통과정20230615
79고등학교사립7010189선덕고등학교Sunduck High School서울특별시교육청1375서울특별시 도봉구 시루봉로 53/ 선덕고등학교 (쌍문동)02-997-4111http://sunduck.sen.hs.kr02-994-1797남자율고N일반계<NA>전기주간1982100319830305B10서울특별시교육청서울특별시주간일반계인문사회과정20230615
80고등학교사립7010189선덕고등학교Sunduck High School서울특별시교육청1375서울특별시 도봉구 시루봉로 53/ 선덕고등학교 (쌍문동)02-997-4111http://sunduck.sen.hs.kr02-994-1797남자율고N일반계<NA>전기주간1982100319830305B10서울특별시교육청서울특별시주간일반계일반학과20230615
81고등학교사립7010189선덕고등학교Sunduck High School서울특별시교육청1375서울특별시 도봉구 시루봉로 53/ 선덕고등학교 (쌍문동)02-997-4111http://sunduck.sen.hs.kr02-994-1797남자율고N일반계<NA>전기주간1982100319830305B10서울특별시교육청서울특별시주간일반계자연과정20230615
82고등학교사립7010188서울외국어고등학교Seoul Foreign Language High School서울특별시교육청1489서울특별시 도봉구 덕릉로66길 22(창동)1670-1005http://sfl.sen.hs.kr02-994-2435남여공학특목고N일반계외국어계열전기주간1993100519931005B10서울특별시교육청서울특별시주간외국어계중국어과20230615
83고등학교사립7010188서울외국어고등학교Seoul Foreign Language High School서울특별시교육청1489서울특별시 도봉구 덕릉로66길 22(창동)1670-1005http://sfl.sen.hs.kr02-994-2435남여공학특목고N일반계외국어계열전기주간1993100519931005B10서울특별시교육청서울특별시주간외국어계독일어과20230615
84고등학교사립7010188서울외국어고등학교Seoul Foreign Language High School서울특별시교육청1489서울특별시 도봉구 덕릉로66길 22(창동)1670-1005http://sfl.sen.hs.kr02-994-2435남여공학특목고N일반계외국어계열전기주간1993100519931005B10서울특별시교육청서울특별시주간외국어계프랑스어과20230615
85고등학교사립7010188서울외국어고등학교Seoul Foreign Language High School서울특별시교육청1489서울특별시 도봉구 덕릉로66길 22(창동)1670-1005http://sfl.sen.hs.kr02-994-2435남여공학특목고N일반계외국어계열전기주간1993100519931005B10서울특별시교육청서울특별시주간외국어계영어과20230615
86고등학교사립7010188서울외국어고등학교Seoul Foreign Language High School서울특별시교육청1489서울특별시 도봉구 덕릉로66길 22(창동)1670-1005http://sfl.sen.hs.kr02-994-2435남여공학특목고N일반계외국어계열전기주간1993100519931005B10서울특별시교육청서울특별시주간외국어계일본어과20230615
87고등학교사립7010188서울외국어고등학교Seoul Foreign Language High School서울특별시교육청1489서울특별시 도봉구 덕릉로66길 22(창동)1670-1005http://sfl.sen.hs.kr02-994-2435남여공학특목고N일반계외국어계열전기주간1993100519931005B10서울특별시교육청서울특별시주간외국어계스페인어과20230615