Overview

Dataset statistics

Number of variables25
Number of observations318
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.8 KiB
Average record size in memory205.4 B

Variable types

Categorical12
Numeric5
Text7
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,적재일시
Author서울특별시교육청
URLhttps://data.seoul.go.kr/dataList/OA-20557/S/1/datasetView.do

Alerts

학교종류명 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청명 has constant value ""Constant
소재지명 has constant value ""Constant
관할조직명 is highly imbalanced (92.3%)Imbalance
산업체특별학급존재여부 is highly imbalanced (96.9%)Imbalance
특수목적고등학교계열명 is highly imbalanced (82.1%)Imbalance
주야구분명 is highly imbalanced (96.9%)Imbalance
표준학교코드 has unique valuesUnique
학교명 has unique valuesUnique
영문학교명 has unique valuesUnique
전화번호 has unique valuesUnique
홈페이지주소 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2024-05-03 21:29:35.407563
Analysis finished2024-05-03 21:29:36.740771
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
고등학교
318 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고등학교 318
100.0%

Length

2024-05-03T21:29:36.929561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:29:37.244876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고등학교 318
100.0%

설립구분
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
사립
200 
공립
115 
국립
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 200
62.9%
공립 115
36.2%
국립 3
 
0.9%

Length

2024-05-03T21:29:37.768471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:29:38.131330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 200
62.9%
공립 115
36.2%
국립 3
 
0.9%

표준학교코드
Real number (ℝ)

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6975019.1
Minimum1371661
Maximum7011569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-03T21:29:38.445293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1371661
5-th percentile7010071.8
Q17010143.2
median7010239.5
Q37010805.8
95-th percentile7011490.2
Maximum7011569
Range5639908
Interquartile range (IQR)662.5

Descriptive statistics

Standard deviation446481.94
Coefficient of variation (CV)0.064011573
Kurtosis156.47431
Mean6975019.1
Median Absolute Deviation (MAD)146
Skewness-12.549504
Sum2.2180561 × 109
Variance1.9934612 × 1011
MonotonicityStrictly decreasing
2024-05-03T21:29:38.977033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011569 1
 
0.3%
7010178 1
 
0.3%
7010168 1
 
0.3%
7010169 1
 
0.3%
7010170 1
 
0.3%
7010171 1
 
0.3%
7010172 1
 
0.3%
7010173 1
 
0.3%
7010174 1
 
0.3%
7010179 1
 
0.3%
Other values (308) 308
96.9%
ValueCountFrequency (%)
1371661 1
0.3%
1371663 1
0.3%
7010057 1
0.3%
7010058 1
0.3%
7010059 1
0.3%
7010060 1
0.3%
7010061 1
0.3%
7010062 1
0.3%
7010063 1
0.3%
7010064 1
0.3%
ValueCountFrequency (%)
7011569 1
0.3%
7011568 1
0.3%
7011558 1
0.3%
7011540 1
0.3%
7011539 1
0.3%
7011513 1
0.3%
7011508 1
0.3%
7011507 1
0.3%
7011506 1
0.3%
7011505 1
0.3%

학교명
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-03T21:29:39.636404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.7169811
Min length6

Characters and Unicode

Total characters2454
Distinct characters203
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

Unique318 ?
Unique (%)100.0%

Sample

1st row미림마이스터고등학교
2nd row염광메디텍고등학교
3rd row서울웹툰애니메이션고등학교
4th row솔샘고등학교
5th row서울동구고등학교
ValueCountFrequency (%)
미림마이스터고등학교 1
 
0.3%
상일여자고등학교 1
 
0.3%
배재고등학교 1
 
0.3%
배화여자고등학교 1
 
0.3%
백암고등학교 1
 
0.3%
보성고등학교 1
 
0.3%
보성여자고등학교 1
 
0.3%
상명대학교사범대학부속여자고등학교 1
 
0.3%
문일고등학교 1
 
0.3%
서라벌고등학교 1
 
0.3%
Other values (308) 308
96.9%
2024-05-03T21:29:40.769788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 355
14.5%
교 332
 
13.5%
등 322
 
13.1%
고 321
 
13.1%
자 71
 
2.9%
여 64
 
2.6%
서 44
 
1.8%
대 42
 
1.7%
울 36
 
1.5%
성 25
 
1.0%
Other values (193) 842
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2454
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 355
14.5%
교 332
 
13.5%
등 322
 
13.1%
고 321
 
13.1%
자 71
 
2.9%
여 64
 
2.6%
서 44
 
1.8%
대 42
 
1.7%
울 36
 
1.5%
성 25
 
1.0%
Other values (193) 842
34.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2454
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 355
14.5%
교 332
 
13.5%
등 322
 
13.1%
고 321
 
13.1%
자 71
 
2.9%
여 64
 
2.6%
서 44
 
1.8%
대 42
 
1.7%
울 36
 
1.5%
성 25
 
1.0%
Other values (193) 842
34.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2454
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 355
14.5%
교 332
 
13.5%
등 322
 
13.1%
고 321
 
13.1%
자 71
 
2.9%
여 64
 
2.6%
서 44
 
1.8%
대 42
 
1.7%
울 36
 
1.5%
성 25
 
1.0%
Other values (193) 842
34.3%

영문학교명
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-03T21:29:41.724200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length45
Mean length24.855346
Min length16

Characters and Unicode

Total characters7904
Distinct characters53
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

Unique318 ?
Unique (%)100.0%

Sample

1st rowMirim Meister High School
2nd rowYumkwang Meditech High School
3rd rowSeoul Webtoon Animation High School
4th rowSolsaem High School
5th rowSEOUL DONGGOO HIGH SCHOOL
ValueCountFrequency (%)
school 314
26.4%
high 311
26.1%
girls’ 45
 
3.8%
seoul 35
 
2.9%
girls 13
 
1.1%
university 13
 
1.1%
technical 11
 
0.9%
science 9
 
0.8%
of 7
 
0.6%
arts 7
 
0.6%
Other values (314) 425
35.7%
2024-05-03T21:29:43.248433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 905
 
11.4%
873
 
11.0%
h 681
 
8.6%
g 545
 
6.9%
i 539
 
6.8%
l 463
 
5.9%
S 448
 
5.7%
H 397
 
5.0%
n 396
 
5.0%
c 382
 
4.8%
Other values (43) 2275
28.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5322
67.3%
Uppercase Letter 1638
 
20.7%
Space Separator 873
 
11.0%
Final Punctuation 47
 
0.6%
Dash Punctuation 11
 
0.1%
Modifier Symbol 8
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 905
17.0%
h 681
12.8%
g 545
10.2%
i 539
10.1%
l 463
8.7%
n 396
7.4%
c 382
7.2%
e 264
 
5.0%
a 238
 
4.5%
u 184
 
3.5%
Other values (14) 725
13.6%
Uppercase Letter
ValueCountFrequency (%)
S 448
27.4%
H 397
24.2%
G 122
 
7.4%
O 74
 
4.5%
I 63
 
3.8%
N 55
 
3.4%
C 55
 
3.4%
D 53
 
3.2%
L 46
 
2.8%
E 42
 
2.6%
Other values (13) 283
17.3%
Other Punctuation
ValueCountFrequency (%)
/ 4
80.0%
' 1
 
20.0%
Space Separator
ValueCountFrequency (%)
873
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6960
88.1%
Common 944
 
11.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 905
13.0%
h 681
 
9.8%
g 545
 
7.8%
i 539
 
7.7%
l 463
 
6.7%
S 448
 
6.4%
H 397
 
5.7%
n 396
 
5.7%
c 382
 
5.5%
e 264
 
3.8%
Other values (37) 1940
27.9%
Common
ValueCountFrequency (%)
873
92.5%
’ 47
 
5.0%
- 11
 
1.2%
` 8
 
0.8%
/ 4
 
0.4%
' 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7857
99.4%
Punctuation 47
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 905
11.5%
873
 
11.1%
h 681
 
8.7%
g 545
 
6.9%
i 539
 
6.9%
l 463
 
5.9%
S 448
 
5.7%
H 397
 
5.1%
n 396
 
5.0%
c 382
 
4.9%
Other values (42) 2228
28.4%
Punctuation
ValueCountFrequency (%)
’ 47
100.0%

관할조직명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
서울특별시교육청
315 
교육부
 
3

Length

Max length8
Median length8
Mean length7.9528302
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 315
99.1%
교육부 3
 
0.9%

Length

2024-05-03T21:29:43.764632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:29:44.138250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 315
99.1%
교육부 3
 
0.9%

도로명우편번호
Real number (ℝ)

Distinct265
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5065.4623
Minimum1095
Maximum8854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-03T21:29:44.523170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1095
5-th percentile1585.05
Q13047
median5053.5
Q37314.5
95-th percentile8712.3
Maximum8854
Range7759
Interquartile range (IQR)4267.5

Descriptive statistics

Standard deviation2343.5482
Coefficient of variation (CV)0.46265239
Kurtosis-1.2646685
Mean5065.4623
Median Absolute Deviation (MAD)2097.5
Skewness0.0065418532
Sum1610817
Variance5492218.2
MonotonicityNot monotonic
2024-05-03T21:29:45.116003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7640 3
 
0.9%
1874 3
 
0.9%
4939 3
 
0.9%
8248 3
 
0.9%
7633 3
 
0.9%
7909 3
 
0.9%
3322 3
 
0.9%
6324 3
 
0.9%
5279 3
 
0.9%
1375 2
 
0.6%
Other values (255) 289
90.9%
ValueCountFrequency (%)
1095 1
0.3%
1133 1
0.3%
1174 1
0.3%
1190 1
0.3%
1199 1
0.3%
1211 1
0.3%
1237 1
0.3%
1318 1
0.3%
1338 1
0.3%
1372 1
0.3%
ValueCountFrequency (%)
8854 1
0.3%
8847 2
0.6%
8833 2
0.6%
8831 2
0.6%
8821 2
0.6%
8815 1
0.3%
8802 1
0.3%
8796 1
0.3%
8773 1
0.3%
8772 1
0.3%

도로명주소
Text

Distinct289
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-03T21:29:46.418522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.468553
Min length12

Characters and Unicode

Total characters5873
Distinct characters199
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

Unique262 ?
Unique (%)82.4%

Sample

1st row서울특별시 관악구 호암로 546
2nd row서울특별시 노원구 월계로45가길 9
3rd row서울특별시 서초구 과천대로 852-23
4th row서울특별시 강북구 인수봉로 39
5th row서울특별시 성북구 성북로8길 71
ValueCountFrequency (%)
서울특별시 316
24.9%
노원구 25
 
2.0%
강서구 23
 
1.8%
강남구 22
 
1.7%
송파구 19
 
1.5%
은평구 18
 
1.4%
관악구 17
 
1.3%
양천구 15
 
1.2%
구로구 14
 
1.1%
종로구 14
 
1.1%
Other values (445) 787
62.0%
2024-05-03T21:29:48.542493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
16.2%
서 376
 
6.4%
구 338
 
5.8%
로 331
 
5.6%
시 321
 
5.5%
울 319
 
5.4%
특 316
 
5.4%
별 316
 
5.4%
1 196
 
3.3%
길 173
 
2.9%
Other values (189) 2235
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3828
65.2%
Decimal Number 1071
 
18.2%
Space Separator 952
 
16.2%
Dash Punctuation 22
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 376
 
9.8%
구 338
 
8.8%
로 331
 
8.6%
시 321
 
8.4%
울 319
 
8.3%
특 316
 
8.3%
별 316
 
8.3%
길 173
 
4.5%
강 75
 
2.0%
동 66
 
1.7%
Other values (177) 1197
31.3%
Decimal Number
ValueCountFrequency (%)
1 196
18.3%
2 153
14.3%
4 113
10.6%
3 108
10.1%
6 107
10.0%
5 103
9.6%
7 94
8.8%
9 81
7.6%
0 67
 
6.3%
8 49
 
4.6%
Space Separator
ValueCountFrequency (%)
952
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3828
65.2%
Common 2045
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 376
 
9.8%
구 338
 
8.8%
로 331
 
8.6%
시 321
 
8.4%
울 319
 
8.3%
특 316
 
8.3%
별 316
 
8.3%
길 173
 
4.5%
강 75
 
2.0%
동 66
 
1.7%
Other values (177) 1197
31.3%
Common
ValueCountFrequency (%)
952
46.6%
1 196
 
9.6%
2 153
 
7.5%
4 113
 
5.5%
3 108
 
5.3%
6 107
 
5.2%
5 103
 
5.0%
7 94
 
4.6%
9 81
 
4.0%
0 67
 
3.3%
Other values (2) 71
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3828
65.2%
ASCII 2045
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
46.6%
1 196
 
9.6%
2 153
 
7.5%
4 113
 
5.5%
3 108
 
5.3%
6 107
 
5.2%
5 103
 
5.0%
7 94
 
4.6%
9 81
 
4.0%
0 67
 
3.3%
Other values (2) 71
 
3.5%
Hangul
ValueCountFrequency (%)
서 376
 
9.8%
구 338
 
8.8%
로 331
 
8.6%
시 321
 
8.4%
울 319
 
8.3%
특 316
 
8.3%
별 316
 
8.3%
길 173
 
4.5%
강 75
 
2.0%
동 66
 
1.7%
Other values (177) 1197
31.3%

도로명상세주소
Text

Distinct297
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-03T21:29:49.806063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length12.169811
Min length4

Characters and Unicode

Total characters3870
Distinct characters230
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

Unique279 ?
Unique (%)87.7%

Sample

1st row미림마이스터고등학교
2nd row, 염광메디텍고등학교 (월계동)
3rd row(방배동)
4th row/ 솔샘고등학교
5th row/ 동구마케팅고등학교 (성북동)
ValueCountFrequency (%)
124
 
20.6%
중계동 6
 
1.0%
신정동 6
 
1.0%
상일동 5
 
0.8%
신당동 5
 
0.8%
신림동 5
 
0.8%
내발산동 5
 
0.8%
갈현동 5
 
0.8%
궁동 5
 
0.8%
등촌동 5
 
0.8%
Other values (358) 430
71.5%
2024-05-03T21:29:53.110496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 326
 
8.4%
( 314
 
8.1%
) 314
 
8.1%
285
 
7.4%
학 246
 
6.4%
교 234
 
6.0%
고 234
 
6.0%
/ 232
 
6.0%
등 232
 
6.0%
자 59
 
1.5%
Other values (220) 1394
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2682
69.3%
Open Punctuation 314
 
8.1%
Close Punctuation 314
 
8.1%
Space Separator 285
 
7.4%
Other Punctuation 233
 
6.0%
Decimal Number 41
 
1.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 326
 
12.2%
학 246
 
9.2%
교 234
 
8.7%
고 234
 
8.7%
등 232
 
8.7%
자 59
 
2.2%
신 55
 
2.1%
여 55
 
2.1%
대 36
 
1.3%
서 35
 
1.3%
Other values (207) 1170
43.6%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
2 10
24.4%
3 8
19.5%
4 5
12.2%
0 3
 
7.3%
6 2
 
4.9%
8 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 232
99.6%
, 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Space Separator
ValueCountFrequency (%)
285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2682
69.3%
Common 1188
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 326
 
12.2%
학 246
 
9.2%
교 234
 
8.7%
고 234
 
8.7%
등 232
 
8.7%
자 59
 
2.2%
신 55
 
2.1%
여 55
 
2.1%
대 36
 
1.3%
서 35
 
1.3%
Other values (207) 1170
43.6%
Common
ValueCountFrequency (%)
( 314
26.4%
) 314
26.4%
285
24.0%
/ 232
19.5%
1 12
 
1.0%
2 10
 
0.8%
3 8
 
0.7%
4 5
 
0.4%
0 3
 
0.3%
6 2
 
0.2%
Other values (3) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2682
69.3%
ASCII 1188
30.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 326
 
12.2%
학 246
 
9.2%
교 234
 
8.7%
고 234
 
8.7%
등 232
 
8.7%
자 59
 
2.2%
신 55
 
2.1%
여 55
 
2.1%
대 36
 
1.3%
서 35
 
1.3%
Other values (207) 1170
43.6%
ASCII
ValueCountFrequency (%)
( 314
26.4%
) 314
26.4%
285
24.0%
/ 232
19.5%
1 12
 
1.0%
2 10
 
0.8%
3 8
 
0.7%
4 5
 
0.4%
0 3
 
0.3%
6 2
 
0.2%
Other values (3) 3
 
0.3%

전화번호
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-03T21:29:54.031272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length11.528302
Min length9

Characters and Unicode

Total characters3666
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)100.0%

Sample

1st row02-872-4071
2nd row02-994-3105
3rd row02-6011-4100
4th row02-982-6104
5th row02-762-1301
ValueCountFrequency (%)
02-872-4071 1
 
0.3%
02-428-0435 1
 
0.3%
02-428-1885 1
 
0.3%
02-724-0300 1
 
0.3%
02-2696-0110 1
 
0.3%
02-2152-2430 1
 
0.3%
07040003030 1
 
0.3%
02-396-6302 1
 
0.3%
02-802-2301 1
 
0.3%
02-2092-2200 1
 
0.3%
Other values (308) 308
96.9%
2024-05-03T21:29:55.387864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 711
19.4%
- 633
17.3%
2 608
16.6%
1 278
 
7.6%
3 242
 
6.6%
6 237
 
6.5%
7 202
 
5.5%
4 196
 
5.3%
8 195
 
5.3%
5 186
 
5.1%
Other values (2) 178
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3031
82.7%
Dash Punctuation 633
 
17.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 711
23.5%
2 608
20.1%
1 278
 
9.2%
3 242
 
8.0%
6 237
 
7.8%
7 202
 
6.7%
4 196
 
6.5%
8 195
 
6.4%
5 186
 
6.1%
9 176
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 633
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3666
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 711
19.4%
- 633
17.3%
2 608
16.6%
1 278
 
7.6%
3 242
 
6.6%
6 237
 
6.5%
7 202
 
5.5%
4 196
 
5.3%
8 195
 
5.3%
5 186
 
5.1%
Other values (2) 178
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 711
19.4%
- 633
17.3%
2 608
16.6%
1 278
 
7.6%
3 242
 
6.6%
6 237
 
6.5%
7 202
 
5.5%
4 196
 
5.3%
8 195
 
5.3%
5 186
 
5.1%
Other values (2) 178
 
4.9%

홈페이지주소
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-03T21:29:56.271047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length23.084906
Min length12

Characters and Unicode

Total characters7341
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)100.0%

Sample

1st rowhttp://www.e-mirim.hs.kr
2nd rowhttp://ykm.sen.hs.kr
3rd rowhttps://swas.sen.hs.kr
4th rowhttp://solsaem.sen.hs.kr
5th rowdonggoo.sen.hs.kr
ValueCountFrequency (%)
http://www.e-mirim.hs.kr 1
 
0.3%
http://sangil.hs.kr 1
 
0.3%
www.paichai.hs.kr 1
 
0.3%
http://paiwha.sen.hs.kr 1
 
0.3%
http://baegam.sen.hs.kr 1
 
0.3%
http://posung.sen.hs.kr 1
 
0.3%
http://www.bosung.hs.kr 1
 
0.3%
http://sangmyung-agh.hs.kr 1
 
0.3%
http://moonil.hs.kr 1
 
0.3%
http://sorabol.sen.hs.kr 1
 
0.3%
Other values (308) 308
96.9%
2024-05-03T21:29:57.983853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 922
12.6%
h 729
 
9.9%
s 645
 
8.8%
t 630
 
8.6%
/ 626
 
8.5%
w 446
 
6.1%
n 428
 
5.8%
k 389
 
5.3%
r 346
 
4.7%
p 318
 
4.3%
Other values (20) 1862
25.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5454
74.3%
Other Punctuation 1851
 
25.2%
Dash Punctuation 33
 
0.4%
Decimal Number 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
h 729
13.4%
s 645
11.8%
t 630
11.6%
w 446
8.2%
n 428
7.8%
k 389
 
7.1%
r 346
 
6.3%
p 318
 
5.8%
e 279
 
5.1%
g 227
 
4.2%
Other values (13) 1017
18.6%
Other Punctuation
ValueCountFrequency (%)
. 922
49.8%
/ 626
33.8%
: 303
 
16.4%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
8 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5455
74.3%
Common 1886
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
h 729
13.4%
s 645
11.8%
t 630
11.5%
w 446
8.2%
n 428
7.8%
k 389
 
7.1%
r 346
 
6.3%
p 318
 
5.8%
e 279
 
5.1%
g 227
 
4.2%
Other values (14) 1018
18.7%
Common
ValueCountFrequency (%)
. 922
48.9%
/ 626
33.2%
: 303
 
16.1%
- 33
 
1.7%
6 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 922
12.6%
h 729
 
9.9%
s 645
 
8.8%
t 630
 
8.6%
/ 626
 
8.5%
w 446
 
6.1%
n 428
 
5.8%
k 389
 
5.3%
r 346
 
4.7%
p 318
 
4.3%
Other values (20) 1862
25.4%

팩스번호
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-03T21:29:59.420831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.367925
Min length9

Characters and Unicode

Total characters3615
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

Unique318 ?
Unique (%)100.0%

Sample

1st row02-887-0856
2nd row02-903-2813
3rd row02-597-9693
4th row02-982-6106
5th row02-747-6525
ValueCountFrequency (%)
02-887-0856 1
 
0.3%
02-481-3130 1
 
0.3%
02-429-7845 1
 
0.3%
02-723-0752 1
 
0.3%
02-2691-0111 1
 
0.3%
02-449-9355 1
 
0.3%
027984145 1
 
0.3%
02-396-6305 1
 
0.3%
02-893-5094 1
 
0.3%
02-2092-2270 1
 
0.3%
Other values (308) 308
96.9%
2024-05-03T21:30:00.655502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 635
17.6%
2 610
16.9%
0 534
14.8%
6 270
7.5%
3 252
 
7.0%
9 249
 
6.9%
8 224
 
6.2%
5 223
 
6.2%
7 214
 
5.9%
4 203
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2980
82.4%
Dash Punctuation 635
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 610
20.5%
0 534
17.9%
6 270
9.1%
3 252
8.5%
9 249
8.4%
8 224
 
7.5%
5 223
 
7.5%
7 214
 
7.2%
4 203
 
6.8%
1 201
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 635
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3615
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 635
17.6%
2 610
16.9%
0 534
14.8%
6 270
7.5%
3 252
 
7.0%
9 249
 
6.9%
8 224
 
6.2%
5 223
 
6.2%
7 214
 
5.9%
4 203
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3615
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 635
17.6%
2 610
16.9%
0 534
14.8%
6 270
7.5%
3 252
 
7.0%
9 249
 
6.9%
8 224
 
6.2%
5 223
 
6.2%
7 214
 
5.9%
4 203
 
5.6%

남녀공학구분명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
남여공학
166 
여
80 
남
72 

Length

Max length4
Median length4
Mean length2.5660377
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 166
52.2%
여 80
25.2%
남 72
22.6%

Length

2024-05-03T21:30:01.063002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:01.397814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 166
52.2%
여 80
25.2%
남 72
22.6%

고등학교구분명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
일반고
192 
특성화고
68 
자율고
37 
특목고
21 

Length

Max length4
Median length3
Mean length3.2138365
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row특목고
2nd row특성화고
3rd row특성화고
4th row자율고
5th row특성화고

Common Values

ValueCountFrequency (%)
일반고 192
60.4%
특성화고 68
 
21.4%
자율고 37
 
11.6%
특목고 21
 
6.6%

Length

2024-05-03T21:30:01.754289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:02.072726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반고 192
60.4%
특성화고 68
 
21.4%
자율고 37
 
11.6%
특목고 21
 
6.6%

산업체특별학급존재여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size450.0 B
False
317 
True
 
1
ValueCountFrequency (%)
False 317
99.7%
True 1
 
0.3%
2024-05-03T21:30:02.387940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
일반계
246 
전문계
72 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 246
77.4%
전문계 72
 
22.6%

Length

2024-05-03T21:30:02.719107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:03.038914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 246
77.4%
전문계 72
 
22.6%

특수목적고등학교계열명
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
297 
예술계열
 
6
외국어계열
 
6
산업수요 맞춤형 고등학교
 
4
과학계열
 
3
Other values (2)
 
2

Length

Max length13
Median length4
Mean length4.1320755
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 297
93.4%
예술계열 6
 
1.9%
외국어계열 6
 
1.9%
산업수요 맞춤형 고등학교 4
 
1.3%
과학계열 3
 
0.9%
국제계열 1
 
0.3%
체육계열 1
 
0.3%

Length

2024-05-03T21:30:03.413226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:03.755082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
91.1%
예술계열 6
 
1.8%
외국어계열 6
 
1.8%
산업수요 4
 
1.2%
맞춤형 4
 
1.2%
고등학교 4
 
1.2%
과학계열 3
 
0.9%
국제계열 1
 
0.3%
체육계열 1
 
0.3%

입시전후기구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
후기
202 
전기
116 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
후기 202
63.5%
전기 116
36.5%

Length

2024-05-03T21:30:04.224393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:04.492566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후기 202
63.5%
전기 116
36.5%

주야구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
주간
317 
주야간
 
1

Length

Max length3
Median length2
Mean length2.0031447
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
주간 317
99.7%
주야간 1
 
0.3%

Length

2024-05-03T21:30:04.844059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:05.210733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 317
99.7%
주야간 1
 
0.3%

설립일자
Real number (ℝ)

Distinct253
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19695324
Minimum18850509
Maximum20170301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-03T21:30:05.629461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18850509
5-th percentile19060520
Q119533334
median19770875
Q319881223
95-th percentile20090301
Maximum20170301
Range1319792
Interquartile range (IQR)347889.5

Descriptive statistics

Standard deviation294571
Coefficient of variation (CV)0.014956393
Kurtosis0.34618088
Mean19695324
Median Absolute Deviation (MAD)169229.5
Skewness-0.91594585
Sum6.2631129 × 109
Variance8.6772077 × 1010
MonotonicityNot monotonic
2024-05-03T21:30:06.103735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19841217 7
 
2.2%
19831226 7
 
2.2%
19871215 6
 
1.9%
19821130 6
 
1.9%
19721229 5
 
1.6%
20090301 5
 
1.6%
19900120 4
 
1.3%
19941005 3
 
0.9%
19811231 3
 
0.9%
20110301 3
 
0.9%
Other values (243) 269
84.6%
ValueCountFrequency (%)
18850509 1
0.3%
18850608 1
0.3%
18860531 1
0.3%
18871020 1
0.3%
18940406 1
0.3%
18971010 1
0.3%
18981002 1
0.3%
18990505 1
0.3%
18990624 1
0.3%
19001003 1
0.3%
ValueCountFrequency (%)
20170301 2
 
0.6%
20130301 1
 
0.3%
20120301 2
 
0.6%
20120106 1
 
0.3%
20110301 3
0.9%
20100301 2
 
0.6%
20090821 1
 
0.3%
20090301 5
1.6%
20090102 1
 
0.3%
20080301 3
0.9%

개교기념일
Real number (ℝ)

Distinct297
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19705057
Minimum18850509
Maximum20211205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-03T21:30:06.777081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18850509
5-th percentile19060848
Q119530708
median19780309
Q319897718
95-th percentile20090331
Maximum20211205
Range1360696
Interquartile range (IQR)367009

Descriptive statistics

Standard deviation291570.51
Coefficient of variation (CV)0.014796736
Kurtosis0.35938351
Mean19705057
Median Absolute Deviation (MAD)159905
Skewness-0.90772681
Sum6.266208 × 109
Variance8.5013364 × 1010
MonotonicityNot monotonic
2024-05-03T21:30:07.276724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19841217 3
 
0.9%
20090301 3
 
0.9%
19910501 2
 
0.6%
19941005 2
 
0.6%
19470624 2
 
0.6%
19500522 2
 
0.6%
19841015 2
 
0.6%
20080301 2
 
0.6%
20120501 2
 
0.6%
19461015 2
 
0.6%
Other values (287) 296
93.1%
ValueCountFrequency (%)
18850509 1
0.3%
18850608 1
0.3%
18860531 1
0.3%
18940406 1
0.3%
18971010 1
0.3%
18981002 1
0.3%
18990505 1
0.3%
18990624 1
0.3%
19001003 1
0.3%
19031031 1
0.3%
ValueCountFrequency (%)
20211205 1
0.3%
20170524 1
0.3%
20170522 1
0.3%
20130501 1
0.3%
20120506 1
0.3%
20120501 2
0.6%
20110501 1
0.3%
20110301 2
0.6%
20100404 1
0.3%
20100301 1
0.3%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
B10
318 

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 318
100.0%

Length

2024-05-03T21:30:08.088027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:08.618284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 318
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
서울특별시교육청
318 

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 318
100.0%

Length

2024-05-03T21:30:09.173675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:09.644179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 318
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
서울특별시
318 

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 318
100.0%

Length

2024-05-03T21:30:10.070139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:30:10.564552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 318
100.0%

적재일시
Real number (ℝ)

Distinct17
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230927
Minimum20230615
Maximum20240414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-03T21:30:11.022867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230615
95-th percentile20230702
Maximum20240414
Range9799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1698.8653
Coefficient of variation (CV)8.3973676 × 10-5
Kurtosis27.226576
Mean20230927
Median Absolute Deviation (MAD)0
Skewness5.387606
Sum6.4334349 × 109
Variance2886143.4
MonotonicityNot monotonic
2024-05-03T21:30:11.674835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20230615 297
93.4%
20240324 3
 
0.9%
20240414 3
 
0.9%
20240310 2
 
0.6%
20230705 1
 
0.3%
20230702 1
 
0.3%
20230709 1
 
0.3%
20230628 1
 
0.3%
20230623 1
 
0.3%
20231112 1
 
0.3%
Other values (7) 7
 
2.2%
ValueCountFrequency (%)
20230615 297
93.4%
20230623 1
 
0.3%
20230627 1
 
0.3%
20230628 1
 
0.3%
20230629 1
 
0.3%
20230702 1
 
0.3%
20230705 1
 
0.3%
20230709 1
 
0.3%
20230903 1
 
0.3%
20231001 1
 
0.3%
ValueCountFrequency (%)
20240414 3
0.9%
20240324 3
0.9%
20240310 2
0.6%
20240303 1
 
0.3%
20240225 1
 
0.3%
20231217 1
 
0.3%
20231112 1
 
0.3%
20231001 1
 
0.3%
20230903 1
 
0.3%
20230709 1
 
0.3%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명적재일시
0고등학교사립7011569미림마이스터고등학교Mirim Meister High School서울특별시교육청8821서울특별시 관악구 호암로 546미림마이스터고등학교02-872-4071http://www.e-mirim.hs.kr02-887-0856남여공학특목고N전문계산업수요 맞춤형 고등학교전기주간1991030119910531B10서울특별시교육청서울특별시20240310
1고등학교사립7011568염광메디텍고등학교Yumkwang Meditech High School서울특별시교육청1874서울특별시 노원구 월계로45가길 9, 염광메디텍고등학교 (월계동)02-994-3105http://ykm.sen.hs.kr02-903-2813남여공학특성화고N전문계<NA>전기주간1968030119680301B10서울특별시교육청서울특별시20240303
2고등학교공립7011558서울웹툰애니메이션고등학교Seoul Webtoon Animation High School서울특별시교육청6761서울특별시 서초구 과천대로 852-23(방배동)02-6011-4100https://swas.sen.hs.kr02-597-9693남여공학특성화고N전문계<NA>전기주간1994010519940506B10서울특별시교육청서울특별시20230615
3고등학교공립7011540솔샘고등학교Solsaem High School서울특별시교육청1190서울특별시 강북구 인수봉로 39/ 솔샘고등학교02-982-6104http://solsaem.sen.hs.kr02-982-6106남여공학자율고N일반계<NA>후기주간2009030120090610B10서울특별시교육청서울특별시20230615
4고등학교사립7011539서울동구고등학교SEOUL DONGGOO HIGH SCHOOL서울특별시교육청2834서울특별시 성북구 성북로8길 71/ 동구마케팅고등학교 (성북동)02-762-1301donggoo.sen.hs.kr02-747-6525남여공학특성화고N전문계<NA>전기주간1942061719420617B10서울특별시교육청서울특별시20240324
5고등학교사립7011513서울정화고등학교Seoul Jeonghwa High School서울특별시교육청2480서울특별시 동대문구 홍릉로15길 50(제기동)정화여자상업고등학교02-960-1495http://jeonghwa.sen.hs.kr02-965-9155여특성화고N전문계<NA>전기주간1908090119080901B10서울특별시교육청서울특별시20230615
6고등학교사립7011508선일빅데이터고등학교SUNIL BIGDATA HIGHSCHOOL서울특별시교육청3322서울특별시 은평구 갈현로29길 27/ 선일빅데이터고등학교 (갈현동)02-355-5648https://bigdata.sen.hs.kr/02-354-0935여특성화고N전문계<NA>전기주간1985010819850311B10서울특별시교육청서울특별시20230615
7고등학교사립7011507대경생활과학고등학교Daekyeong Life Science High School서울특별시교육청4592서울특별시 중구 매봉18길 111(신당동)02-2235-5155http://daekyeong.sen.hs.kr02-2237-9142남여공학특성화고N전문계<NA>전기주간1956022819560416B10서울특별시교육청서울특별시20230615
8고등학교사립7011506서울매그넷고등학교Seoul Magnet High School서울특별시교육청8656서울특별시 금천구 탑골로10길 45(시흥동/ 동일여자상업고등학교)02-807-6333seoulmagnet.sen.hs.kr02-804-9040여특성화고N전문계<NA>전기주간1987011219870303B10서울특별시교육청서울특별시20230615
9고등학교사립7011505광운인공지능고등학교Kwangwoon Artificial Intelligence High School서울특별시교육청1890서울특별시 노원구 광운로1길 24(월계동/광운중학교/전자공업고등학교)02-918-7761http://kwangwoon.sen.hs.kr02-917-5091남여공학특성화고N전문계<NA>전기주간1934052019340520B10서울특별시교육청서울특별시20231001
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명적재일시
308고등학교공립7010064공항고등학교Konghang High School서울특별시교육청7597서울특별시 강서구 방화대로34길 43(마곡동/ 공항고등학교)02-2664-6874http://www.konghang.hs.kr02-6309-3919남여공학일반고N일반계<NA>후기주간1982113019830412B10서울특별시교육청서울특별시20230615
309고등학교공립7010063고척고등학교Gocheok High School서울특별시교육청8239서울특별시 구로구 중앙로15길 162/ 고척고등학교 (고척동/ 고척고등학교)02-2616-9813http://gocheok.sen.hs.kr02-2615-7802남여공학자율고N일반계<NA>후기주간1984121519841217B10서울특별시교육청서울특별시20230615
310고등학교공립7010062경복고등학교Kyungbock High School서울특별시교육청3047서울특별시 종로구 자하문로28가길 9/ 경복고등학교 (청운동/경복고등학교)02-397-5301http://kyungbock.sen.hs.kr02-736-0422남일반고N일반계<NA>후기주간1921050219210502B10서울특별시교육청서울특별시20230615
311고등학교공립7010061경동고등학교Kyungdong High School서울특별시교육청2870서울특별시 성북구 보문로29길 49(삼선동3가/ 경동고등학교)02-928-2353www.kyungdong.hs.kr02-926-7525남자율고N일반계<NA>후기주간1940041619400416B10서울특별시교육청서울특별시20230615
312고등학교공립7010060경기여자고등학교Kyunggi Girls’High School서울특별시교육청6324서울특별시 강남구 삼성로 29/ 경기여자고등학교 (개포동)02-573-6797http://www.kgg.hs.kr02-575-1157여일반고N일반계<NA>후기주간1908040119080401B10서울특별시교육청서울특별시20230615
313고등학교공립7010059경기고등학교Kyunggi High School서울특별시교육청6086서울특별시 강남구 영동대로 643/ 경기고등학교 (삼성동)02-3496-7300http://kyunggi.hs.kr/02-3496-7497남일반고N일반계<NA>후기주간1900100319001003B10서울특별시교육청서울특별시20230615
314고등학교공립7010058개포고등학교Gaepo High School서울특별시교육청6324서울특별시 강남구 개포로 402(개포동/ 개포고등학교)02-576-3333http://www.gaepo.hs.kr02-571-6560남여공학일반고N일반계<NA>후기주간1987051219870512B10서울특별시교육청서울특별시20230615
315고등학교공립7010057가락고등학교Garak High School서울특별시교육청5678서울특별시 송파구 송이로 42(송파동/가락고등학교)02-416-4658http://garak.sen.hs.kr02-421-9669남여공학일반고N일반계<NA>후기주간1988122319890428B10서울특별시교육청서울특별시20230615
316고등학교국립1371663국립전통예술고등학교NATIONAL HIGH SCHOOL OF TRADITIONAL KOREAN ARTS교육부8650서울특별시 금천구 시흥대로38길 62(시흥동)02-896-1094http://kugak-am.hs.kr02-896-1096남여공학특목고N일반계예술계열전기주간1960051319600513B10서울특별시교육청서울특별시20230615
317고등학교국립1371661국립국악고등학교Gugak National High School교육부6311서울특별시 강남구 개포로22길 65(개포동/ 국악고등학교)02-3460-0500http://gugak.sen.hs.kr02-3460-0555남여공학특목고N일반계예술계열전기주간1955040119720909B10서울특별시교육청서울특별시20230615