Overview

Dataset statistics

Number of variables25
Number of observations390
Missing cells780
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.0 KiB
Average record size in memory207.3 B

Variable types

Categorical10
Numeric5
Text7
Unsupported2
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-20556/S/1/datasetView.do

Alerts

학교종류명 has constant value ""Constant
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
고등학교일반실업구분명 is highly imbalanced (70.0%)Imbalance
입시전후기구분명 is highly imbalanced (90.8%)Imbalance
고등학교구분명 has 390 (100.0%) missing valuesMissing
특수목적고등학교계열명 has 390 (100.0%) missing valuesMissing
표준학교코드 has unique valuesUnique
학교명 has unique valuesUnique
영문학교명 has unique valuesUnique
전화번호 has unique valuesUnique
홈페이지주소 has unique valuesUnique
팩스번호 has unique valuesUnique
고등학교구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수목적고등학교계열명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-04 02:36:48.510952
Analysis finished2024-05-04 02:36:49.939546
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
중학교
390 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중학교 390
100.0%

Length

2024-05-04T02:36:50.077992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:36:50.254231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중학교 390
100.0%

설립구분
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
공립
279 
사립
109 
국립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 279
71.5%
사립 109
 
27.9%
국립 2
 
0.5%

Length

2024-05-04T02:36:50.429159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:36:50.613704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 279
71.5%
사립 109
 
27.9%
국립 2
 
0.5%

표준학교코드
Real number (ℝ)

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7080510.8
Minimum7021122
Maximum7134142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-04T02:36:51.038117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021122
5-th percentile7021141.5
Q17041186.2
median7081504.5
Q37130169.8
95-th percentile7134121.5
Maximum7134142
Range113020
Interquartile range (IQR)88983.5

Descriptive statistics

Standard deviation40496.767
Coefficient of variation (CV)0.0057194696
Kurtosis-1.5232846
Mean7080510.8
Median Absolute Deviation (MAD)40324
Skewness0.043360759
Sum2.7613992 × 109
Variance1.6399881 × 109
MonotonicityStrictly decreasing
2024-05-04T02:36:51.398815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7134142 1
 
0.3%
7051208 1
 
0.3%
7051186 1
 
0.3%
7051187 1
 
0.3%
7051188 1
 
0.3%
7051189 1
 
0.3%
7051190 1
 
0.3%
7051191 1
 
0.3%
7051192 1
 
0.3%
7051193 1
 
0.3%
Other values (380) 380
97.4%
ValueCountFrequency (%)
7021122 1
0.3%
7021123 1
0.3%
7021124 1
0.3%
7021125 1
0.3%
7021126 1
0.3%
7021127 1
0.3%
7021128 1
0.3%
7021129 1
0.3%
7021130 1
0.3%
7021131 1
0.3%
ValueCountFrequency (%)
7134142 1
0.3%
7134141 1
0.3%
7134140 1
0.3%
7134139 1
0.3%
7134138 1
0.3%
7134137 1
0.3%
7134136 1
0.3%
7134135 1
0.3%
7134134 1
0.3%
7134132 1
0.3%

학교명
Text

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-04T02:36:51.898727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length5
Mean length5.6153846
Min length5

Characters and Unicode

Total characters2190
Distinct characters179
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)100.0%

Sample

1st row행당중학교
2nd row한양대학교사범대학부속중학교
3rd row자양중학교
4th row용곡중학교
5th row옥정중학교
ValueCountFrequency (%)
행당중학교 1
 
0.3%
하계중학교 1
 
0.3%
상명중학교 1
 
0.3%
상원중학교 1
 
0.3%
선덕중학교 1
 
0.3%
수락중학교 1
 
0.3%
신도봉중학교 1
 
0.3%
신방학중학교 1
 
0.3%
신상중학교 1
 
0.3%
신창중학교 1
 
0.3%
Other values (380) 380
97.4%
2024-05-04T02:36:52.878493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 419
19.1%
교 403
18.4%
중 401
18.3%
여 45
 
2.1%
자 45
 
2.1%
신 41
 
1.9%
대 40
 
1.8%
성 29
 
1.3%
동 25
 
1.1%
원 23
 
1.1%
Other values (169) 719
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2189
> 99.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 419
19.1%
교 403
18.4%
중 401
18.3%
여 45
 
2.1%
자 45
 
2.1%
신 41
 
1.9%
대 40
 
1.8%
성 29
 
1.3%
동 25
 
1.1%
원 23
 
1.1%
Other values (168) 718
32.8%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2189
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 419
19.1%
교 403
18.4%
중 401
18.3%
여 45
 
2.1%
자 45
 
2.1%
신 41
 
1.9%
대 40
 
1.8%
성 29
 
1.3%
동 25
 
1.1%
원 23
 
1.1%
Other values (168) 718
32.8%
Common
ValueCountFrequency (%)
· 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2189
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 419
19.1%
교 403
18.4%
중 401
18.3%
여 45
 
2.1%
자 45
 
2.1%
신 41
 
1.9%
대 40
 
1.8%
성 29
 
1.3%
동 25
 
1.1%
원 23
 
1.1%
Other values (168) 718
32.8%
None
ValueCountFrequency (%)
· 1
100.0%

영문학교명
Text

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-04T02:36:53.510779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length65
Mean length22.779487
Min length9

Characters and Unicode

Total characters8884
Distinct characters51
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)100.0%

Sample

1st rowHaengdang Middle School
2nd rowHanyang University Middle School
3rd rowJayang Middle School
4th rowYong-gok Middle School
5th rowOk-Jung Middle School
ValueCountFrequency (%)
school 388
30.9%
middle 385
30.7%
girls’ 37
 
2.9%
university 13
 
1.0%
education 5
 
0.4%
seoul 5
 
0.4%
girls 5
 
0.4%
of 4
 
0.3%
to 4
 
0.3%
attached 4
 
0.3%
Other values (395) 406
32.3%
2024-05-04T02:36:54.464834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1099
12.4%
867
 
9.8%
l 863
 
9.7%
d 793
 
8.9%
e 573
 
6.4%
i 558
 
6.3%
S 483
 
5.4%
n 482
 
5.4%
h 477
 
5.4%
c 415
 
4.7%
Other values (41) 2274
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6566
73.9%
Uppercase Letter 1384
 
15.6%
Space Separator 868
 
9.8%
Final Punctuation 38
 
0.4%
Dash Punctuation 25
 
0.3%
Modifier Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1099
16.7%
l 863
13.1%
d 793
12.1%
e 573
8.7%
i 558
8.5%
n 482
7.3%
h 477
7.3%
c 415
 
6.3%
g 308
 
4.7%
a 249
 
3.8%
Other values (13) 749
11.4%
Uppercase Letter
ValueCountFrequency (%)
S 483
34.9%
M 407
29.4%
G 82
 
5.9%
D 58
 
4.2%
H 39
 
2.8%
Y 38
 
2.7%
J 33
 
2.4%
O 31
 
2.2%
C 29
 
2.1%
N 26
 
1.9%
Other values (12) 158
 
11.4%
Space Separator
ValueCountFrequency (%)
867
99.9%
　 1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7950
89.5%
Common 934
 
10.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1099
13.8%
l 863
10.9%
d 793
10.0%
e 573
 
7.2%
i 558
 
7.0%
S 483
 
6.1%
n 482
 
6.1%
h 477
 
6.0%
c 415
 
5.2%
M 407
 
5.1%
Other values (35) 1800
22.6%
Common
ValueCountFrequency (%)
867
92.8%
’ 38
 
4.1%
- 25
 
2.7%
` 2
 
0.2%
/ 1
 
0.1%
　 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8845
99.6%
Punctuation 38
 
0.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1099
12.4%
867
 
9.8%
l 863
 
9.8%
d 793
 
9.0%
e 573
 
6.5%
i 558
 
6.3%
S 483
 
5.5%
n 482
 
5.4%
h 477
 
5.4%
c 415
 
4.7%
Other values (39) 2235
25.3%
Punctuation
ValueCountFrequency (%)
’ 38
100.0%
None
ValueCountFrequency (%)
　 1
100.0%

관할조직명
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
서울특별시강동송파교육지원청
48 
서울특별시서부교육지원청
46 
서울특별시강서양천교육지원청
41 
서울특별시강남서초교육지원청
40 
서울특별시북부교육지원청
39 
Other values (7)
176 

Length

Max length14
Median length14
Mean length13.051282
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시강동송파교육지원청 48
12.3%
서울특별시서부교육지원청 46
11.8%
서울특별시강서양천교육지원청 41
10.5%
서울특별시강남서초교육지원청 40
10.3%
서울특별시북부교육지원청 39
10.0%
서울특별시남부교육지원청 35
9.0%
서울특별시동작관악교육지원청 32
8.2%
서울특별시성북강북교육지원청 30
7.7%
서울특별시동부교육지원청 29
7.4%
서울특별시중부교육지원청 25
6.4%
Other values (2) 25
6.4%

Length

2024-05-04T02:36:54.709028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시강동송파교육지원청 48
12.3%
서울특별시서부교육지원청 46
11.8%
서울특별시강서양천교육지원청 41
10.5%
서울특별시강남서초교육지원청 40
10.3%
서울특별시북부교육지원청 39
10.0%
서울특별시남부교육지원청 35
9.0%
서울특별시동작관악교육지원청 32
8.2%
서울특별시성북강북교육지원청 30
7.7%
서울특별시동부교육지원청 29
7.4%
서울특별시중부교육지원청 25
6.4%
Other values (2) 25
6.4%

도로명우편번호
Real number (ℝ)

Distinct374
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5011.5718
Minimum1006
Maximum8863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-04T02:36:54.972885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1006
5-th percentile1394.8
Q12851.25
median5204.5
Q37017.25
95-th percentile8591.15
Maximum8863
Range7857
Interquartile range (IQR)4166

Descriptive statistics

Standard deviation2322.2982
Coefficient of variation (CV)0.46338719
Kurtosis-1.2156656
Mean5011.5718
Median Absolute Deviation (MAD)2097
Skewness-0.03715096
Sum1954513
Variance5393068.9
MonotonicityNot monotonic
2024-05-04T02:36:55.247958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7902 2
 
0.5%
1095 2
 
0.5%
3429 2
 
0.5%
5506 2
 
0.5%
5649 2
 
0.5%
1874 2
 
0.5%
3322 2
 
0.5%
4140 2
 
0.5%
6183 2
 
0.5%
7028 2
 
0.5%
Other values (364) 370
94.9%
ValueCountFrequency (%)
1006 1
0.3%
1015 1
0.3%
1051 1
0.3%
1061 1
0.3%
1095 2
0.5%
1133 1
0.3%
1137 1
0.3%
1174 1
0.3%
1190 1
0.3%
1198 1
0.3%
ValueCountFrequency (%)
8863 1
0.3%
8857 1
0.3%
8854 1
0.3%
8847 1
0.3%
8841 1
0.3%
8833 1
0.3%
8816 1
0.3%
8795 1
0.3%
8782 1
0.3%
8781 1
0.3%

도로명주소
Text

Distinct389
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-04T02:36:55.855443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.776923
Min length14

Characters and Unicode

Total characters7323
Distinct characters213
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

Unique388 ?
Unique (%)99.5%

Sample

1st row서울특별시 성동구 왕십리로 189
2nd row서울특별시 성동구 마조로 42
3rd row서울특별시 광진구 뚝섬로41길 33
4th row서울특별시 광진구 용마산로22길 76
5th row서울특별시 성동구 한림말길 11
ValueCountFrequency (%)
서울특별시 387
 
24.8%
송파구 29
 
1.9%
노원구 26
 
1.7%
강남구 24
 
1.5%
강서구 22
 
1.4%
강동구 19
 
1.2%
양천구 19
 
1.2%
은평구 18
 
1.2%
성북구 18
 
1.2%
서초구 16
 
1.0%
Other values (578) 981
62.9%
2024-05-04T02:36:56.886626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1169
16.0%
서 459
 
6.3%
구 412
 
5.6%
시 395
 
5.4%
로 395
 
5.4%
울 391
 
5.3%
특 387
 
5.3%
별 387
 
5.3%
길 242
 
3.3%
1 241
 
3.3%
Other values (203) 2845
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4767
65.1%
Decimal Number 1352
 
18.5%
Space Separator 1169
 
16.0%
Dash Punctuation 35
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 459
 
9.6%
구 412
 
8.6%
시 395
 
8.3%
로 395
 
8.3%
울 391
 
8.2%
특 387
 
8.1%
별 387
 
8.1%
길 242
 
5.1%
동 103
 
2.2%
강 86
 
1.8%
Other values (191) 1510
31.7%
Decimal Number
ValueCountFrequency (%)
1 241
17.8%
2 194
14.3%
3 164
12.1%
5 127
9.4%
6 122
9.0%
4 121
8.9%
7 110
8.1%
9 99
7.3%
0 96
 
7.1%
8 78
 
5.8%
Space Separator
ValueCountFrequency (%)
1169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4767
65.1%
Common 2556
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 459
 
9.6%
구 412
 
8.6%
시 395
 
8.3%
로 395
 
8.3%
울 391
 
8.2%
특 387
 
8.1%
별 387
 
8.1%
길 242
 
5.1%
동 103
 
2.2%
강 86
 
1.8%
Other values (191) 1510
31.7%
Common
ValueCountFrequency (%)
1169
45.7%
1 241
 
9.4%
2 194
 
7.6%
3 164
 
6.4%
5 127
 
5.0%
6 122
 
4.8%
4 121
 
4.7%
7 110
 
4.3%
9 99
 
3.9%
0 96
 
3.8%
Other values (2) 113
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4767
65.1%
ASCII 2556
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1169
45.7%
1 241
 
9.4%
2 194
 
7.6%
3 164
 
6.4%
5 127
 
5.0%
6 122
 
4.8%
4 121
 
4.7%
7 110
 
4.3%
9 99
 
3.9%
0 96
 
3.8%
Other values (2) 113
 
4.4%
Hangul
ValueCountFrequency (%)
서 459
 
9.6%
구 412
 
8.6%
시 395
 
8.3%
로 395
 
8.3%
울 391
 
8.2%
특 387
 
8.1%
별 387
 
8.1%
길 242
 
5.1%
동 103
 
2.2%
강 86
 
1.8%
Other values (191) 1510
31.7%

도로명상세주소
Text

Distinct362
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-04T02:36:57.328375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length10.751282
Min length4

Characters and Unicode

Total characters4193
Distinct characters211
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

Unique341 ?
Unique (%)87.4%

Sample

1st row(행당동/행당중학교)
2nd row(사근동/한양사대부속중?고등학교)
3rd row(자양동/서울자양중학교)
4th row(중곡동/용곡중학교)
5th row/ 옥정중학교 (옥수동)
ValueCountFrequency (%)
108
 
16.6%
신림동 6
 
0.9%
봉천동 6
 
0.9%
신당동 5
 
0.8%
상계동 5
 
0.8%
쌍문동 5
 
0.8%
대방동 4
 
0.6%
잠실동 4
 
0.6%
월계동 4
 
0.6%
중계동 4
 
0.6%
Other values (424) 499
76.8%
2024-05-04T02:36:58.149369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 402
 
9.6%
( 383
 
9.1%
) 382
 
9.1%
학 310
 
7.4%
중 306
 
7.3%
교 297
 
7.1%
/ 286
 
6.8%
260
 
6.2%
신 78
 
1.9%
대 39
 
0.9%
Other values (201) 1450
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2832
67.5%
Open Punctuation 383
 
9.1%
Close Punctuation 382
 
9.1%
Other Punctuation 293
 
7.0%
Space Separator 260
 
6.2%
Decimal Number 40
 
1.0%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 402
 
14.2%
학 310
 
10.9%
중 306
 
10.8%
교 297
 
10.5%
신 78
 
2.8%
대 39
 
1.4%
자 35
 
1.2%
여 34
 
1.2%
성 32
 
1.1%
원 32
 
1.1%
Other values (183) 1267
44.7%
Decimal Number
ValueCountFrequency (%)
2 12
30.0%
3 6
15.0%
1 5
12.5%
6 4
 
10.0%
4 4
 
10.0%
0 2
 
5.0%
5 2
 
5.0%
8 2
 
5.0%
7 2
 
5.0%
9 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 286
97.6%
, 4
 
1.4%
. 2
 
0.7%
? 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 382
100.0%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2832
67.5%
Common 1361
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 402
 
14.2%
학 310
 
10.9%
중 306
 
10.8%
교 297
 
10.5%
신 78
 
2.8%
대 39
 
1.4%
자 35
 
1.2%
여 34
 
1.2%
성 32
 
1.1%
원 32
 
1.1%
Other values (183) 1267
44.7%
Common
ValueCountFrequency (%)
( 383
28.1%
) 382
28.1%
/ 286
21.0%
260
19.1%
2 12
 
0.9%
3 6
 
0.4%
1 5
 
0.4%
6 4
 
0.3%
4 4
 
0.3%
, 4
 
0.3%
Other values (8) 15
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2832
67.5%
ASCII 1361
32.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 402
 
14.2%
학 310
 
10.9%
중 306
 
10.8%
교 297
 
10.5%
신 78
 
2.8%
대 39
 
1.4%
자 35
 
1.2%
여 34
 
1.2%
성 32
 
1.1%
원 32
 
1.1%
Other values (183) 1267
44.7%
ASCII
ValueCountFrequency (%)
( 383
28.1%
) 382
28.1%
/ 286
21.0%
260
19.1%
2 12
 
0.9%
3 6
 
0.4%
1 5
 
0.4%
6 4
 
0.3%
4 4
 
0.3%
, 4
 
0.3%
Other values (8) 15
 
1.1%

전화번호
Text

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-04T02:36:58.710855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length11.45641
Min length10

Characters and Unicode

Total characters4468
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)100.0%

Sample

1st row02-2292-2721
2nd row02-2200-3700
3rd row02-446-0365
4th row02-452-2622
5th row02-6021-2100
ValueCountFrequency (%)
02-2292-2721 1
 
0.3%
02-936-6450 1
 
0.3%
02-930-0761 1
 
0.3%
02-993-4112 1
 
0.3%
02-2092-1900 1
 
0.3%
02-992-3462 1
 
0.3%
02-956-8234 1
 
0.3%
02-932-0595 1
 
0.3%
02-904-4206 1
 
0.3%
02-906-1102 1
 
0.3%
Other values (382) 382
97.4%
2024-05-04T02:36:59.688394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 780
17.5%
2 766
17.1%
0 756
16.9%
4 316
7.1%
3 305
 
6.8%
1 301
 
6.7%
6 261
 
5.8%
9 257
 
5.8%
7 245
 
5.5%
5 240
 
5.4%
Other values (4) 241
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3682
82.4%
Dash Punctuation 780
 
17.5%
Other Punctuation 3
 
0.1%
Space Separator 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 766
20.8%
0 756
20.5%
4 316
8.6%
3 305
 
8.3%
1 301
 
8.2%
6 261
 
7.1%
9 257
 
7.0%
7 245
 
6.7%
5 240
 
6.5%
8 235
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 780
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 780
17.5%
2 766
17.1%
0 756
16.9%
4 316
7.1%
3 305
 
6.8%
1 301
 
6.7%
6 261
 
5.8%
9 257
 
5.8%
7 245
 
5.5%
5 240
 
5.4%
Other values (4) 241
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 780
17.5%
2 766
17.1%
0 756
16.9%
4 316
7.1%
3 305
 
6.8%
1 301
 
6.7%
6 261
 
5.8%
9 257
 
5.8%
7 245
 
5.5%
5 240
 
5.4%
Other values (4) 241
 
5.4%

홈페이지주소
Text

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-04T02:37:00.244012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.258974
Min length13

Characters and Unicode

Total characters9071
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)100.0%

Sample

1st rowhttp://www.haengdang.ms.kr
2nd rowhttps://hyu.sen.ms.kr
3rd rowhttp://jayang.sen.ms.kr
4th rowhttp://yonggok.sen.ms.kr/index.do
5th rowhttp://okjung.sen.ms.kr
ValueCountFrequency (%)
http://www.haengdang.ms.kr 1
 
0.3%
http://www.hagye.ms.kr 1
 
0.3%
http://sangmyung.sen.ms.kr 1
 
0.3%
http://sangwon.sen.ms.kr 1
 
0.3%
http://www.sunduck.ms.kr 1
 
0.3%
http://www.surak.ms.kr 1
 
0.3%
http://www.sindobong.ms.kr 1
 
0.3%
http://www.sbh.ms.kr 1
 
0.3%
http://www.sinsang.ms.kr 1
 
0.3%
http://www.sc.ms.kr 1
 
0.3%
Other values (380) 380
97.4%
2024-05-04T02:37:01.227001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1131
12.5%
/ 763
 
8.4%
s 758
 
8.4%
t 745
 
8.2%
w 618
 
6.8%
n 613
 
6.8%
h 484
 
5.3%
m 482
 
5.3%
k 481
 
5.3%
r 418
 
4.6%
Other values (22) 2578
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6790
74.9%
Other Punctuation 2264
 
25.0%
Dash Punctuation 9
 
0.1%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 758
11.2%
t 745
11.0%
w 618
9.1%
n 613
9.0%
h 484
 
7.1%
m 482
 
7.1%
k 481
 
7.1%
r 418
 
6.2%
p 387
 
5.7%
e 323
 
4.8%
Other values (12) 1481
21.8%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
0 2
25.0%
2 1
12.5%
9 1
12.5%
4 1
12.5%
7 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 1131
50.0%
/ 763
33.7%
: 370
 
16.3%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6790
74.9%
Common 2281
 
25.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 758
11.2%
t 745
11.0%
w 618
9.1%
n 613
9.0%
h 484
 
7.1%
m 482
 
7.1%
k 481
 
7.1%
r 418
 
6.2%
p 387
 
5.7%
e 323
 
4.8%
Other values (12) 1481
21.8%
Common
ValueCountFrequency (%)
. 1131
49.6%
/ 763
33.5%
: 370
 
16.2%
- 9
 
0.4%
1 2
 
0.1%
0 2
 
0.1%
2 1
 
< 0.1%
9 1
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1131
12.5%
/ 763
 
8.4%
s 758
 
8.4%
t 745
 
8.2%
w 618
 
6.8%
n 613
 
6.8%
h 484
 
5.3%
m 482
 
5.3%
k 481
 
5.3%
r 418
 
4.6%
Other values (22) 2578
28.4%

팩스번호
Text

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-04T02:37:01.854718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length11.353846
Min length10

Characters and Unicode

Total characters4428
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

Unique390 ?
Unique (%)100.0%

Sample

1st row02-2293-0473
2nd row02-2298-3173
3rd row02-458-7047
4th row02-458-8566
5th row02-2298-1303
ValueCountFrequency (%)
02-2293-0473 1
 
0.3%
02-948-2883 1
 
0.3%
02-971-6216 1
 
0.3%
02-930-0764 1
 
0.3%
02-992-0239 1
 
0.3%
02-3392-2074 1
 
0.3%
02-992-3468 1
 
0.3%
02-956-2845 1
 
0.3%
02-935-6387 1
 
0.3%
02-998-2696 1
 
0.3%
Other values (380) 380
97.4%
2024-05-04T02:37:03.059630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 779
17.6%
2 728
16.4%
0 607
13.7%
9 336
7.6%
6 319
7.2%
3 308
 
7.0%
4 307
 
6.9%
8 289
 
6.5%
5 283
 
6.4%
7 235
 
5.3%
Other values (2) 237
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3647
82.4%
Dash Punctuation 779
 
17.6%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 728
20.0%
0 607
16.6%
9 336
9.2%
6 319
8.7%
3 308
8.4%
4 307
8.4%
8 289
 
7.9%
5 283
 
7.8%
7 235
 
6.4%
1 235
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 779
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 779
17.6%
2 728
16.4%
0 607
13.7%
9 336
7.6%
6 319
7.2%
3 308
 
7.0%
4 307
 
6.9%
8 289
 
6.5%
5 283
 
6.4%
7 235
 
5.3%
Other values (2) 237
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 779
17.6%
2 728
16.4%
0 607
13.7%
9 336
7.6%
6 319
7.2%
3 308
 
7.0%
4 307
 
6.9%
8 289
 
6.5%
5 283
 
6.4%
7 235
 
5.3%
Other values (2) 237
 
5.4%

남녀공학구분명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
남여공학
300 
남
47 
여
43 

Length

Max length4
Median length4
Mean length3.3076923
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 300
76.9%
남 47
 
12.1%
여 43
 
11.0%

Length

2024-05-04T02:37:03.574116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:37:03.951182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 300
76.9%
남 47
 
12.1%
여 43
 
11.0%

고등학교구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size522.0 B
False
390 
ValueCountFrequency (%)
False 390
100.0%
2024-05-04T02:37:04.224958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
일반계
357 
해당없음
 
27
<NA>
 
6

Length

Max length4
Median length3
Mean length3.0846154
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 357
91.5%
해당없음 27
 
6.9%
<NA> 6
 
1.5%

Length

2024-05-04T02:37:04.580341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:37:04.928896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 357
91.5%
해당없음 27
 
6.9%
na 6
 
1.5%

특수목적고등학교계열명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

입시전후기구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
전기
383 
후기
 
5
전후기
 
2

Length

Max length3
Median length2
Mean length2.0051282
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 383
98.2%
후기 5
 
1.3%
전후기 2
 
0.5%

Length

2024-05-04T02:37:05.345751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:37:05.653792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 383
98.2%
후기 5
 
1.3%
전후기 2
 
0.5%

주야구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
주간
390 

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 390
100.0%

Length

2024-05-04T02:37:05.985690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:37:06.293042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 390
100.0%

설립일자
Real number (ℝ)

Distinct241
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19736877
Minimum18850509
Maximum20220301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-04T02:37:06.647272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18850509
5-th percentile19080604
Q119671050
median19810301
Q319867963
95-th percentile20090301
Maximum20220301
Range1369792
Interquartile range (IQR)196912.75

Descriptive statistics

Standard deviation254535.91
Coefficient of variation (CV)0.012896463
Kurtosis1.8843172
Mean19736877
Median Absolute Deviation (MAD)109395
Skewness-1.237238
Sum7.6973821 × 109
Variance6.4788531 × 1010
MonotonicityNot monotonic
2024-05-04T02:37:07.128111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19840109 16
 
4.1%
19841208 13
 
3.3%
19860129 13
 
3.3%
19821209 13
 
3.3%
19900120 9
 
2.3%
19680806 9
 
2.3%
19881224 8
 
2.1%
19910121 7
 
1.8%
19691111 6
 
1.5%
19801227 6
 
1.5%
Other values (231) 290
74.4%
ValueCountFrequency (%)
18850509 1
0.3%
18850803 1
0.3%
18871020 1
0.3%
18940406 1
0.3%
18971010 1
0.3%
18981002 1
0.3%
18990624 1
0.3%
19031031 1
0.3%
19050211 1
0.3%
19060401 1
0.3%
ValueCountFrequency (%)
20220301 1
0.3%
20210301 2
0.5%
20200301 2
0.5%
20190301 1
0.3%
20180208 1
0.3%
20150109 1
0.3%
20140301 1
0.3%
20130301 2
0.5%
20121227 1
0.3%
20120301 2
0.5%

개교기념일
Real number (ℝ)

Distinct331
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19743078
Minimum18850509
Maximum20220501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-04T02:37:07.554316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18850509
5-th percentile19089681
Q119673488
median19810520
Q319877778
95-th percentile20090563
Maximum20220501
Range1369992
Interquartile range (IQR)204290.75

Descriptive statistics

Standard deviation252556
Coefficient of variation (CV)0.012792129
Kurtosis1.988238
Mean19743078
Median Absolute Deviation (MAD)109947.5
Skewness-1.2425758
Sum7.6998006 × 109
Variance6.3784533 × 1010
MonotonicityNot monotonic
2024-05-04T02:37:08.001784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19681002 5
 
1.3%
19691111 4
 
1.0%
19810504 3
 
0.8%
19910506 3
 
0.8%
19850506 3
 
0.8%
19840504 3
 
0.8%
19940506 3
 
0.8%
19840427 3
 
0.8%
19840506 3
 
0.8%
19841208 2
 
0.5%
Other values (321) 358
91.8%
ValueCountFrequency (%)
18850509 1
0.3%
18850608 1
0.3%
18871020 1
0.3%
18940406 1
0.3%
18971010 1
0.3%
18981002 1
0.3%
18990624 1
0.3%
19031031 1
0.3%
19050512 1
0.3%
19060401 1
0.3%
ValueCountFrequency (%)
20220501 1
0.3%
20211013 1
0.3%
20210301 1
0.3%
20200301 2
0.5%
20190301 1
0.3%
20180501 2
0.5%
20150302 1
0.3%
20140501 1
0.3%
20130605 1
0.3%
20130521 1
0.3%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
B10
390 

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 390
100.0%

Length

2024-05-04T02:37:08.412949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:37:08.737519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 390
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
서울특별시교육청
390 

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 390
100.0%

Length

2024-05-04T02:37:09.055395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:37:09.356192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 390
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
서울특별시
390 

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 390
100.0%

Length

2024-05-04T02:37:09.735477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T02:37:10.052807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 390
100.0%

적재일시
Real number (ℝ)

Distinct20
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230870
Minimum20230615
Maximum20240414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-04T02:37:10.406438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230615
95-th percentile20230671
Maximum20240414
Range9799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1530.4332
Coefficient of variation (CV)7.5648413 × 10-5
Kurtosis34.412541
Mean20230870
Median Absolute Deviation (MAD)0
Skewness6.0157681
Sum7.8900392 × 109
Variance2342225.7
MonotonicityNot monotonic
2024-05-04T02:37:10.789866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20230615 362
92.8%
20230705 3
 
0.8%
20230624 3
 
0.8%
20230709 2
 
0.5%
20230627 2
 
0.5%
20240331 2
 
0.5%
20240310 2
 
0.5%
20230623 2
 
0.5%
20240121 1
 
0.3%
20231008 1
 
0.3%
Other values (10) 10
 
2.6%
ValueCountFrequency (%)
20230615 362
92.8%
20230623 2
 
0.5%
20230624 3
 
0.8%
20230627 2
 
0.5%
20230629 1
 
0.3%
20230705 3
 
0.8%
20230709 2
 
0.5%
20230827 1
 
0.3%
20230910 1
 
0.3%
20231008 1
 
0.3%
ValueCountFrequency (%)
20240414 1
0.3%
20240407 1
0.3%
20240331 2
0.5%
20240324 1
0.3%
20240310 2
0.5%
20240204 1
0.3%
20240121 1
0.3%
20240107 1
0.3%
20231231 1
0.3%
20231224 1
0.3%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명적재일시
0중학교공립7134142행당중학교Haengdang Middle School서울특별시성동광진교육지원청4764서울특별시 성동구 왕십리로 189(행당동/행당중학교)02-2292-2721http://www.haengdang.ms.kr02-2293-0473남여공학<NA>N일반계<NA>전기주간1968080619681002B10서울특별시교육청서울특별시20230615
1중학교사립7134141한양대학교사범대학부속중학교Hanyang University Middle School서울특별시성동광진교육지원청4761서울특별시 성동구 마조로 42(사근동/한양사대부속중?고등학교)02-2200-3700https://hyu.sen.ms.kr02-2298-3173남여공학<NA>N일반계<NA>전기주간1960011819600118B10서울특별시교육청서울특별시20230615
2중학교공립7134140자양중학교Jayang Middle School서울특별시성동광진교육지원청5069서울특별시 광진구 뚝섬로41길 33(자양동/서울자양중학교)02-446-0365http://jayang.sen.ms.kr02-458-7047남여공학<NA>N일반계<NA>전기주간1984030119840301B10서울특별시교육청서울특별시20230615
3중학교공립7134139용곡중학교Yong-gok Middle School서울특별시성동광진교육지원청4940서울특별시 광진구 용마산로22길 76(중곡동/용곡중학교)02-452-2622http://yonggok.sen.ms.kr/index.do02-458-8566남여공학<NA>N일반계<NA>전기주간1982120919830504B10서울특별시교육청서울특별시20230615
4중학교공립7134138옥정중학교Ok-Jung Middle School서울특별시성동광진교육지원청4734서울특별시 성동구 한림말길 11/ 옥정중학교 (옥수동)02-6021-2100http://okjung.sen.ms.kr02-2298-1303남여공학<NA>N일반계<NA>전기주간1984010919840511B10서울특별시교육청서울특별시20230615
5중학교공립7134137양진중학교Yangjin Middle School서울특별시성동광진교육지원청4982서울특별시 광진구 워커힐로 32/ 양진중학교02-2049-1200http://www.yangjin.ms.kr02-2049-1208/1220남여공학<NA>N해당없음<NA>전기주간2005122920060514B10서울특별시교육청서울특별시20230615
6중학교공립7134136신양중학교Shinyang Middle School서울특별시성동광진교육지원청5087서울특별시 광진구 자양강변길 73/ 신양중학교 (자양동)02-461-1070http://shinyang.ms.kr02-469-8386남여공학<NA>N일반계<NA>전기주간1984010919840509B10서울특별시교육청서울특별시20230615
7중학교공립7134135성원중학교Sungwon Middle School서울특별시성동광진교육지원청4775서울특별시 성동구 성덕정9가길 13(성수동2가/ 성원중학교)02-3408-2558http://www.sungwon.ms.kr02-463-0676남여공학<NA>N일반계<NA>전기주간1968080619681002B10서울특별시교육청서울특별시20230615
8중학교공립7134134성수중학교Seongsu Middle School서울특별시성동광진교육지원청4768서울특별시 성동구 서울숲길 18(성수동1가/ 성수중학교)02-463-4786http://seongsu.sen.ms.kr02-469-5292남여공학<NA>N일반계<NA>전기주간1967102719671027B10서울특별시교육청서울특별시20230615
9중학교공립7134132무학중학교Muhak Middle School서울특별시성동광진교육지원청4716서울특별시 성동구 행당로 120(행당동)02-2298-6141http://muhakg.ms.kr02-2281-5821남여공학<NA>N일반계<NA>전기주간1968100119681001B10서울특별시교육청서울특별시20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명적재일시
380중학교공립7021131성일중학교Sung-il Middle School서울특별시동부교육지원청2575서울특별시 동대문구 왕산로23길 55(제기동)02-926-0211http://sungil.ms.kr02-926-7401남여공학<NA>N일반계<NA>전기주간1969110119691004B10서울특별시교육청서울특별시20230615
381중학교공립7021130상봉중학교Sangbong Middle School서울특별시동부교육지원청2081서울특별시 중랑구 상봉중앙로8나길 28(상봉동)02-436-4316https://sangbong.sen.ms.kr02-436-4456남여공학<NA>N일반계<NA>전기주간2001050620010506B10서울특별시교육청서울특별시20230615
382중학교공립7021129봉화중학교Bonghwa Middle School서울특별시동부교육지원청2179서울특별시 중랑구 망우로70길 89(망우동/봉화중학교)02-433-3180http://www.ibonghwa.ms.kr02-496-9589남여공학<NA>N일반계<NA>전기주간1985050119850501B10서울특별시교육청서울특별시20230615
383중학교공립7021128면목중학교Myeonmok Middle School서울특별시동부교육지원청2193서울특별시 중랑구 용마산로70길 37/ 면목중학교 (면목동)02-437-0292http://myonmok.sen.ms.kr02-437-0279남여공학<NA>N일반계<NA>전기주간1981121719810504B10서울특별시교육청서울특별시20231008
384중학교공립7021127동원중학교Dongwon Middle School서울특별시동부교육지원청2062서울특별시 중랑구 양원역로 32(망우동/ 동원중학교)02-493-8129http://www.tongwon.ms.kr02-493-0094남여공학<NA>N일반계<NA>전기주간1986012919860506B10서울특별시교육청서울특별시20230615
385중학교공립7021126동대문중학교Dongdaemun Middle School서울특별시동부교육지원청2553서울특별시 동대문구 사가정로 59/ 동대문중학교 (전농동)02-3407-4231http://dongdaemun.sen.ms.kr02-2212-1665남여공학<NA>N일반계<NA>전기주간1963012319630318B10서울특별시교육청서울특별시20230615
386중학교사립7021125동국대학교사범대학부속중학교Middle School Attached to College of Education Dongguk University서울특별시동부교육지원청2520서울특별시 동대문구 장안벚꽃로 201(장안동)02-6716-1700http://dongguk.ms.kr02-6716-1804남<NA>N일반계<NA>전기주간1947062419470624B10서울특별시교육청서울특별시20230615
387중학교사립7021124대광중학교Daegwang Middle School서울특별시동부교육지원청2581서울특별시 동대문구 안암로 6(신설동)02-940-2206http://www.dgm.ms.kr02-925-2975남여공학<NA>N일반계<NA>전기주간1947112519471025B10서울특별시교육청서울특별시20230615
388중학교사립7021123경희중학교Kyunghee Middle School서울특별시동부교육지원청2447서울특별시 동대문구 경희대로 26/ 경희중학교 (회기동)02-966-6402http://www.kyunghee.ms.kr02-962-3644남<NA>N일반계<NA>전기주간1959121219600415B10서울특별시교육청서울특별시20230615
389중학교사립7021122경희여자중학교Kyunghee Girls’ Middle School서울특별시동부교육지원청2447서울특별시 동대문구 경희대로 26(회기동)02-2250-8888http://kyungheegls.sen.ms.kr02-965-5998여<NA>N일반계<NA>전기주간1960020919600518B10서울특별시교육청서울특별시20230615