Overview

Dataset statistics

Number of variables25
Number of observations610
Missing cells1221
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory123.4 KiB
Average record size in memory207.2 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-20555/S/1/datasetView.do

Alerts

학교종류명 has constant value ""Constant
남녀공학구분명 has constant value ""Constant
산업체특별학급존재여부 has constant value ""Constant
시도교육청코드 has constant value ""Constant
시도교육청명 has constant value ""Constant
소재지명 has constant value ""Constant
설립구분 is highly imbalanced (76.8%)Imbalance
고등학교일반실업구분명 is highly imbalanced (63.7%)Imbalance
입시전후기구분명 is highly imbalanced (94.6%)Imbalance
주야구분명 is highly imbalanced (98.2%)Imbalance
고등학교구분명 has 610 (100.0%) missing valuesMissing
특수목적고등학교계열명 has 610 (100.0%) missing valuesMissing
표준학교코드 has unique valuesUnique
학교명 has unique valuesUnique
영문학교명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 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 started2024-05-03 23:44:53.715572
Analysis finished2024-05-03 23:44:55.549368
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
초등학교
610 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 610
100.0%

Length

2024-05-03T23:44:55.963147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:44:56.379933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 610
100.0%

설립구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
공립
570 
사립
 
38
국립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 570
93.4%
사립 38
 
6.2%
국립 2
 
0.3%

Length

2024-05-03T23:44:56.972963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:44:57.311735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 570
93.4%
사립 38
 
6.2%
국립 2
 
0.3%

표준학교코드
Real number (ℝ)

UNIQUE 

Distinct610
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7078624.1
Minimum7021079
Maximum7134150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-03T23:44:58.032665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021079
5-th percentile7021110.5
Q17041135.2
median7081433.5
Q37130102.8
95-th percentile7134087.5
Maximum7134150
Range113071
Interquartile range (IQR)88967.5

Descriptive statistics

Standard deviation40364.548
Coefficient of variation (CV)0.0057023155
Kurtosis-1.5060306
Mean7078624.1
Median Absolute Deviation (MAD)40301
Skewness0.13728113
Sum4.3179607 × 109
Variance1.6292967 × 109
MonotonicityStrictly decreasing
2024-05-03T23:44:58.606319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7134150 1
 
0.2%
7051124 1
 
0.2%
7051131 1
 
0.2%
7051130 1
 
0.2%
7051129 1
 
0.2%
7051128 1
 
0.2%
7051127 1
 
0.2%
7051126 1
 
0.2%
7051125 1
 
0.2%
7051123 1
 
0.2%
Other values (600) 600
98.4%
ValueCountFrequency (%)
7021079 1
0.2%
7021080 1
0.2%
7021082 1
0.2%
7021083 1
0.2%
7021084 1
0.2%
7021085 1
0.2%
7021086 1
0.2%
7021087 1
0.2%
7021088 1
0.2%
7021089 1
0.2%
ValueCountFrequency (%)
7134150 1
0.2%
7134118 1
0.2%
7134117 1
0.2%
7134116 1
0.2%
7134114 1
0.2%
7134113 1
0.2%
7134112 1
0.2%
7134111 1
0.2%
7134110 1
0.2%
7134109 1
0.2%

학교명
Text

UNIQUE 

Distinct610
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-03T23:44:59.164547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.0180328
Min length6

Characters and Unicode

Total characters4891
Distinct characters208
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

Unique610 ?
Unique (%)100.0%

Sample

1st row서울숭신초등학교
2nd row한양초등학교
3rd row세종초등학교
4th row성동초등학교
5th row서울행현초등학교
ValueCountFrequency (%)
서울숭신초등학교 1
 
0.2%
서울상계초등학교 1
 
0.2%
서울노일초등학교 1
 
0.2%
서울녹천초등학교 1
 
0.2%
서울상천초등학교 1
 
0.2%
서울상월초등학교 1
 
0.2%
서울상원초등학교 1
 
0.2%
서울상수초등학교 1
 
0.2%
서울상곡초등학교 1
 
0.2%
서울상경초등학교 1
 
0.2%
Other values (600) 600
98.4%
2024-05-03T23:45:00.290683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 626
12.8%
교 621
12.7%
등 618
12.6%
초 612
12.5%
서 592
12.1%
울 575
11.8%
신 66
 
1.3%
동 43
 
0.9%
원 37
 
0.8%
대 31
 
0.6%
Other values (198) 1070
21.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4891
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 626
12.8%
교 621
12.7%
등 618
12.6%
초 612
12.5%
서 592
12.1%
울 575
11.8%
신 66
 
1.3%
동 43
 
0.9%
원 37
 
0.8%
대 31
 
0.6%
Other values (198) 1070
21.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4891
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 626
12.8%
교 621
12.7%
등 618
12.6%
초 612
12.5%
서 592
12.1%
울 575
11.8%
신 66
 
1.3%
동 43
 
0.9%
원 37
 
0.8%
대 31
 
0.6%
Other values (198) 1070
21.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4891
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 626
12.8%
교 621
12.7%
등 618
12.6%
초 612
12.5%
서 592
12.1%
울 575
11.8%
신 66
 
1.3%
동 43
 
0.9%
원 37
 
0.8%
대 31
 
0.6%
Other values (198) 1070
21.9%

영문학교명
Text

UNIQUE 

Distinct610
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-03T23:45:01.102731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length43
Mean length30.839344
Min length1

Characters and Unicode

Total characters18812
Distinct characters58
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique610 ?
Unique (%)100.0%

Sample

1st rowSeoul Soongshin Elementary School
2nd rowHanyang Elementary School
3rd rowSejong Elementary School
4th rowSungdong Elementary School
5th rowSeoul Haenghyun Elementary School
ValueCountFrequency (%)
elementary 607
25.2%
school 606
25.1%
seoul 565
23.4%
university 6
 
0.2%
of 3
 
0.1%
education 3
 
0.1%
national 2
 
0.1%
college 2
 
0.1%
sahmyook 2
 
0.1%
attached 2
 
0.1%
Other values (614) 614
25.5%
2024-05-03T23:45:02.554177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2276
12.1%
e 2081
11.1%
l 1831
 
9.7%
1804
 
9.6%
n 1310
 
7.0%
S 1308
 
7.0%
a 967
 
5.1%
u 773
 
4.1%
h 738
 
3.9%
y 727
 
3.9%
Other values (48) 4997
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14410
76.6%
Uppercase Letter 2548
 
13.5%
Space Separator 1804
 
9.6%
Dash Punctuation 39
 
0.2%
Other Letter 9
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2276
15.8%
e 2081
14.4%
l 1831
12.7%
n 1310
9.1%
a 967
6.7%
u 773
 
5.4%
h 738
 
5.1%
y 727
 
5.0%
m 719
 
5.0%
r 649
 
4.5%
Other values (13) 2339
16.2%
Uppercase Letter
ValueCountFrequency (%)
S 1308
51.3%
E 644
25.3%
G 75
 
2.9%
Y 66
 
2.6%
D 59
 
2.3%
M 48
 
1.9%
J 44
 
1.7%
H 40
 
1.6%
O 37
 
1.5%
C 35
 
1.4%
Other values (12) 192
 
7.5%
Other Letter
ValueCountFrequency (%)
초 1
11.1%
교 1
11.1%
학 1
11.1%
등 1
11.1%
서 1
11.1%
숲 1
11.1%
늘 1
11.1%
하 1
11.1%
울 1
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
1804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16958
90.1%
Common 1845
 
9.8%
Hangul 9
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2276
13.4%
e 2081
12.3%
l 1831
10.8%
n 1310
 
7.7%
S 1308
 
7.7%
a 967
 
5.7%
u 773
 
4.6%
h 738
 
4.4%
y 727
 
4.3%
m 719
 
4.2%
Other values (35) 4228
24.9%
Hangul
ValueCountFrequency (%)
초 1
11.1%
교 1
11.1%
학 1
11.1%
등 1
11.1%
서 1
11.1%
숲 1
11.1%
늘 1
11.1%
하 1
11.1%
울 1
11.1%
Common
ValueCountFrequency (%)
1804
97.8%
- 39
 
2.1%
/ 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18803
> 99.9%
Hangul 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2276
12.1%
e 2081
11.1%
l 1831
 
9.7%
1804
 
9.6%
n 1310
 
7.0%
S 1308
 
7.0%
a 967
 
5.1%
u 773
 
4.1%
h 738
 
3.9%
y 727
 
3.9%
Other values (39) 4988
26.5%
Hangul
ValueCountFrequency (%)
초 1
11.1%
교 1
11.1%
학 1
11.1%
등 1
11.1%
서 1
11.1%
숲 1
11.1%
늘 1
11.1%
하 1
11.1%
울 1
11.1%

관할조직명
Categorical

Distinct12
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
서울특별시서부교육지원청
71 
서울특별시강동송파교육지원청
70 
서울특별시남부교육지원청
68 
서울특별시강서양천교육지원청
65 
서울특별시북부교육지원청
65 
Other values (7)
271 

Length

Max length14
Median length14
Mean length13.019672
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시서부교육지원청 71
11.6%
서울특별시강동송파교육지원청 70
11.5%
서울특별시남부교육지원청 68
11.1%
서울특별시강서양천교육지원청 65
10.7%
서울특별시북부교육지원청 65
10.7%
서울특별시강남서초교육지원청 57
9.3%
서울특별시동부교육지원청 45
7.4%
서울특별시동작관악교육지원청 43
7.0%
서울특별시성북강북교육지원청 43
7.0%
서울특별시성동광진교육지원청 42
6.9%
Other values (2) 41
6.7%

Length

2024-05-03T23:45:02.975205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시서부교육지원청 71
11.6%
서울특별시강동송파교육지원청 70
11.5%
서울특별시남부교육지원청 68
11.1%
서울특별시강서양천교육지원청 65
10.7%
서울특별시북부교육지원청 65
10.7%
서울특별시강남서초교육지원청 57
9.3%
서울특별시동부교육지원청 45
7.4%
서울특별시동작관악교육지원청 43
7.0%
서울특별시성북강북교육지원청 43
7.0%
서울특별시성동광진교육지원청 42
6.9%
Other values (2) 41
6.7%

도로명우편번호
Real number (ℝ)

Distinct600
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5057.7623
Minimum1020
Maximum8859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-03T23:45:03.407955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1020
5-th percentile1425.35
Q12909
median5114
Q37212.25
95-th percentile8592.5
Maximum8859
Range7839
Interquartile range (IQR)4303.25

Descriptive statistics

Standard deviation2332.0841
Coefficient of variation (CV)0.4610901
Kurtosis-1.2499021
Mean5057.7623
Median Absolute Deviation (MAD)2107.5
Skewness-0.037676112
Sum3085235
Variance5438616.3
MonotonicityNot monotonic
2024-05-03T23:45:03.882206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6973 2
 
0.3%
4628 2
 
0.3%
6321 2
 
0.3%
5114 2
 
0.3%
5507 2
 
0.3%
1672 2
 
0.3%
5698 2
 
0.3%
8100 2
 
0.3%
8350 2
 
0.3%
5649 2
 
0.3%
Other values (590) 590
96.7%
ValueCountFrequency (%)
1020 1
0.2%
1061 1
0.2%
1085 1
0.2%
1095 1
0.2%
1116 1
0.2%
1158 1
0.2%
1165 1
0.2%
1181 1
0.2%
1187 1
0.2%
1198 1
0.2%
ValueCountFrequency (%)
8859 1
0.2%
8858 1
0.2%
8850 1
0.2%
8846 1
0.2%
8842 1
0.2%
8839 1
0.2%
8833 1
0.2%
8823 1
0.2%
8816 1
0.2%
8804 1
0.2%

도로명주소
Text

UNIQUE 

Distinct610
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-03T23:45:04.732077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.7
Min length13

Characters and Unicode

Total characters11407
Distinct characters251
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

Unique610 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 마장로 161
2nd row서울특별시 성동구 살곶이길 208
3rd row서울특별시 광진구 군자로 114
4th row서울특별시 광진구 자양로4길 63
5th row서울특별시 성동구 행당로 95
ValueCountFrequency (%)
서울특별시 606
 
24.9%
노원구 42
 
1.7%
송파구 41
 
1.7%
강서구 35
 
1.4%
강남구 34
 
1.4%
양천구 30
 
1.2%
은평구 30
 
1.2%
강동구 29
 
1.2%
성북구 29
 
1.2%
구로구 27
 
1.1%
Other values (836) 1535
63.0%
2024-05-03T23:45:06.144359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1828
16.0%
서 716
 
6.3%
구 650
 
5.7%
로 618
 
5.4%
시 616
 
5.4%
울 611
 
5.4%
특 606
 
5.3%
별 606
 
5.3%
1 426
 
3.7%
길 383
 
3.4%
Other values (241) 4347
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7432
65.2%
Decimal Number 2102
 
18.4%
Space Separator 1828
 
16.0%
Dash Punctuation 45
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 716
 
9.6%
구 650
 
8.7%
로 618
 
8.3%
시 616
 
8.3%
울 611
 
8.2%
특 606
 
8.2%
별 606
 
8.2%
길 383
 
5.2%
동 135
 
1.8%
강 124
 
1.7%
Other values (229) 2367
31.8%
Decimal Number
ValueCountFrequency (%)
1 426
20.3%
2 317
15.1%
3 266
12.7%
4 207
9.8%
6 185
8.8%
5 183
8.7%
7 140
 
6.7%
0 138
 
6.6%
9 137
 
6.5%
8 103
 
4.9%
Space Separator
ValueCountFrequency (%)
1828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7432
65.2%
Common 3975
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 716
 
9.6%
구 650
 
8.7%
로 618
 
8.3%
시 616
 
8.3%
울 611
 
8.2%
특 606
 
8.2%
별 606
 
8.2%
길 383
 
5.2%
동 135
 
1.8%
강 124
 
1.7%
Other values (229) 2367
31.8%
Common
ValueCountFrequency (%)
1828
46.0%
1 426
 
10.7%
2 317
 
8.0%
3 266
 
6.7%
4 207
 
5.2%
6 185
 
4.7%
5 183
 
4.6%
7 140
 
3.5%
0 138
 
3.5%
9 137
 
3.4%
Other values (2) 148
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7432
65.2%
ASCII 3975
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1828
46.0%
1 426
 
10.7%
2 317
 
8.0%
3 266
 
6.7%
4 207
 
5.2%
6 185
 
4.7%
5 183
 
4.6%
7 140
 
3.5%
0 138
 
3.5%
9 137
 
3.4%
Other values (2) 148
 
3.7%
Hangul
ValueCountFrequency (%)
서 716
 
9.6%
구 650
 
8.7%
로 618
 
8.3%
시 616
 
8.3%
울 611
 
8.2%
특 606
 
8.2%
별 606
 
8.2%
길 383
 
5.2%
동 135
 
1.8%
강 124
 
1.7%
Other values (229) 2367
31.8%

도로명상세주소
Text

Distinct582
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-03T23:45:06.627681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length12.959016
Min length2

Characters and Unicode

Total characters7905
Distinct characters223
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

Unique562 ?
Unique (%)92.1%

Sample

1st row(하왕십리동)
2nd row/ 한양초등학교 (사근동)
3rd row/ 세종초등학교 (군자동)
4th row(자양동)
5th row(행당동)
ValueCountFrequency (%)
248
 
21.1%
상계동 13
 
1.1%
시흥동 10
 
0.9%
신림동 9
 
0.8%
자양동 7
 
0.6%
잠실동 7
 
0.6%
독산동 7
 
0.6%
봉천동 6
 
0.5%
신정동 6
 
0.5%
가락동 6
 
0.5%
Other values (696) 854
72.8%
2024-05-03T23:45:07.693129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 640
 
8.1%
( 603
 
7.6%
) 603
 
7.6%
564
 
7.1%
등 522
 
6.6%
학 519
 
6.6%
/ 518
 
6.6%
초 515
 
6.5%
교 513
 
6.5%
서 317
 
4.0%
Other values (213) 2591
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5545
70.1%
Open Punctuation 603
 
7.6%
Close Punctuation 603
 
7.6%
Space Separator 564
 
7.1%
Other Punctuation 522
 
6.6%
Decimal Number 65
 
0.8%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 640
 
11.5%
등 522
 
9.4%
학 519
 
9.4%
초 515
 
9.3%
교 513
 
9.3%
서 317
 
5.7%
울 293
 
5.3%
신 115
 
2.1%
가 58
 
1.0%
산 46
 
0.8%
Other values (198) 2007
36.2%
Decimal Number
ValueCountFrequency (%)
2 17
26.2%
3 12
18.5%
1 10
15.4%
4 8
12.3%
7 6
 
9.2%
0 3
 
4.6%
9 3
 
4.6%
5 3
 
4.6%
6 3
 
4.6%
Other Punctuation
ValueCountFrequency (%)
/ 518
99.2%
, 4
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 603
100.0%
Space Separator
ValueCountFrequency (%)
564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5545
70.1%
Common 2360
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 640
 
11.5%
등 522
 
9.4%
학 519
 
9.4%
초 515
 
9.3%
교 513
 
9.3%
서 317
 
5.7%
울 293
 
5.3%
신 115
 
2.1%
가 58
 
1.0%
산 46
 
0.8%
Other values (198) 2007
36.2%
Common
ValueCountFrequency (%)
( 603
25.6%
) 603
25.6%
564
23.9%
/ 518
21.9%
2 17
 
0.7%
3 12
 
0.5%
1 10
 
0.4%
4 8
 
0.3%
7 6
 
0.3%
, 4
 
0.2%
Other values (5) 15
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5545
70.1%
ASCII 2360
29.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 640
 
11.5%
등 522
 
9.4%
학 519
 
9.4%
초 515
 
9.3%
교 513
 
9.3%
서 317
 
5.7%
울 293
 
5.3%
신 115
 
2.1%
가 58
 
1.0%
산 46
 
0.8%
Other values (198) 2007
36.2%
ASCII
ValueCountFrequency (%)
( 603
25.6%
) 603
25.6%
564
23.9%
/ 518
21.9%
2 17
 
0.7%
3 12
 
0.5%
1 10
 
0.4%
4 8
 
0.3%
7 6
 
0.3%
, 4
 
0.2%
Other values (5) 15
 
0.6%

전화번호
Text

UNIQUE 

Distinct610
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-03T23:45:08.512945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.303279
Min length1

Characters and Unicode

Total characters6895
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique610 ?
Unique (%)100.0%

Sample

1st row02-2252-5950
2nd row02-2293-8732
3rd row02-466-0045
4th row02-447-2642
5th row02-2294-7693
ValueCountFrequency (%)
02-2252-5950 1
 
0.2%
02-937-3147 1
 
0.2%
02-977-0670 1
 
0.2%
02-938-0204 1
 
0.2%
02-939-7368 1
 
0.2%
02-938-7974 1
 
0.2%
02-932-1442 1
 
0.2%
02-935-9205 1
 
0.2%
02-939-6811 1
 
0.2%
02-993-5727 1
 
0.2%
Other values (601) 601
98.4%
2024-05-03T23:45:09.943787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1213
17.6%
2 1211
17.6%
0 1048
15.2%
4 488
7.1%
3 456
 
6.6%
9 448
 
6.5%
6 435
 
6.3%
1 419
 
6.1%
5 416
 
6.0%
8 384
 
5.6%
Other values (3) 377
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5680
82.4%
Dash Punctuation 1213
 
17.6%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1211
21.3%
0 1048
18.5%
4 488
8.6%
3 456
 
8.0%
9 448
 
7.9%
6 435
 
7.7%
1 419
 
7.4%
5 416
 
7.3%
8 384
 
6.8%
7 375
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 1213
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6895
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1213
17.6%
2 1211
17.6%
0 1048
15.2%
4 488
7.1%
3 456
 
6.6%
9 448
 
6.5%
6 435
 
6.3%
1 419
 
6.1%
5 416
 
6.0%
8 384
 
5.6%
Other values (3) 377
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6895
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1213
17.6%
2 1211
17.6%
0 1048
15.2%
4 488
7.1%
3 456
 
6.6%
9 448
 
6.5%
6 435
 
6.3%
1 419
 
6.1%
5 416
 
6.0%
8 384
 
5.6%
Other values (3) 377
 
5.5%

홈페이지주소
Text

Distinct608
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-03T23:45:11.001711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length23.006557
Min length7

Characters and Unicode

Total characters14034
Distinct characters35
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

Unique607 ?
Unique (%)99.5%

Sample

1st rowhttp://soongshin.sen.es.kr
2nd rowhttp://www.hye.or.kr
3rd rowhttp://sje.sejong.ac.kr
4th rowhttp://www.sungdong.es.kr
5th rowhttp://www.haenghyun.es.kr
ValueCountFrequency (%)
http 3
 
0.5%
http://www.sanggye.es.kr 1
 
0.2%
http://www.nuwon.es.kr 1
 
0.2%
http://www.bulam.es.kr 1
 
0.2%
http://www.sangchun.es.kr 1
 
0.2%
sw.sen.es.kr 1
 
0.2%
http://www.sangwon.es.kr 1
 
0.2%
http://sangsoo.sen.es.kr 1
 
0.2%
http://www.sanggok.es.kr 1
 
0.2%
sanggyeong.sen.es.kr 1
 
0.2%
Other values (598) 598
98.0%
2024-05-03T23:45:12.286464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1758
12.5%
/ 1193
 
8.5%
t 1143
 
8.1%
s 1142
 
8.1%
e 1106
 
7.9%
w 1069
 
7.6%
n 861
 
6.1%
h 736
 
5.2%
k 715
 
5.1%
r 647
 
4.6%
Other values (25) 3664
26.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10477
74.7%
Other Punctuation 3517
 
25.1%
Dash Punctuation 27
 
0.2%
Decimal Number 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1143
10.9%
s 1142
10.9%
e 1106
10.6%
w 1069
10.2%
n 861
8.2%
h 736
 
7.0%
k 715
 
6.8%
r 647
 
6.2%
p 590
 
5.6%
o 490
 
4.7%
Other values (14) 1978
18.9%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
8 3
23.1%
2 2
15.4%
9 1
 
7.7%
5 1
 
7.7%
3 1
 
7.7%
6 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 1758
50.0%
/ 1193
33.9%
: 566
 
16.1%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10477
74.7%
Common 3557
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1143
10.9%
s 1142
10.9%
e 1106
10.6%
w 1069
10.2%
n 861
8.2%
h 736
 
7.0%
k 715
 
6.8%
r 647
 
6.2%
p 590
 
5.6%
o 490
 
4.7%
Other values (14) 1978
18.9%
Common
ValueCountFrequency (%)
. 1758
49.4%
/ 1193
33.5%
: 566
 
15.9%
- 27
 
0.8%
1 4
 
0.1%
8 3
 
0.1%
2 2
 
0.1%
9 1
 
< 0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1758
12.5%
/ 1193
 
8.5%
t 1143
 
8.1%
s 1142
 
8.1%
e 1106
 
7.9%
w 1069
 
7.6%
n 861
 
6.1%
h 736
 
5.2%
k 715
 
5.1%
r 647
 
4.6%
Other values (25) 3664
26.1%

팩스번호
Text

Distinct609
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Memory size4.9 KiB
2024-05-03T23:45:13.211356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.303777
Min length9

Characters and Unicode

Total characters6884
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

Unique609 ?
Unique (%)100.0%

Sample

1st row02-2236-6134
2nd row02-2299-3492
3rd row02-499-3513
4th row02-454-4322
5th row02-2294-3030
ValueCountFrequency (%)
02-2236-6134 1
 
0.2%
02-938-3950 1
 
0.2%
02-911-6347 1
 
0.2%
02-937-4534 1
 
0.2%
02-977-0674 1
 
0.2%
02-935-0421 1
 
0.2%
02-932-2966 1
 
0.2%
02-935-0590 1
 
0.2%
02-938-7684 1
 
0.2%
02-932-5140 1
 
0.2%
Other values (600) 600
98.4%
2024-05-03T23:45:14.756101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1214
17.6%
2 1143
16.6%
0 943
13.7%
9 527
7.7%
4 496
7.2%
3 469
 
6.8%
6 466
 
6.8%
8 445
 
6.5%
5 426
 
6.2%
7 387
 
5.6%
Other values (2) 368
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5669
82.4%
Dash Punctuation 1214
 
17.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1143
20.2%
0 943
16.6%
9 527
9.3%
4 496
8.7%
3 469
8.3%
6 466
8.2%
8 445
 
7.8%
5 426
 
7.5%
7 387
 
6.8%
1 367
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 1214
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6884
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1214
17.6%
2 1143
16.6%
0 943
13.7%
9 527
7.7%
4 496
7.2%
3 469
 
6.8%
6 466
 
6.8%
8 445
 
6.5%
5 426
 
6.2%
7 387
 
5.6%
Other values (2) 368
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1214
17.6%
2 1143
16.6%
0 943
13.7%
9 527
7.7%
4 496
7.2%
3 469
 
6.8%
6 466
 
6.8%
8 445
 
6.5%
5 426
 
6.2%
7 387
 
5.6%
Other values (2) 368
 
5.3%

남녀공학구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
남여공학
610 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남여공학 610
100.0%

Length

2024-05-03T23:45:15.172213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:45:15.594655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남여공학 610
100.0%

고등학교구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing610
Missing (%)100.0%
Memory size5.5 KiB

산업체특별학급존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size742.0 B
False
610 
ValueCountFrequency (%)
False 610
100.0%
2024-05-03T23:45:15.970506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고등학교일반실업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
일반계
544 
해당없음
 
52
<NA>
 
14

Length

Max length4
Median length3
Mean length3.1081967
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반계 544
89.2%
해당없음 52
 
8.5%
<NA> 14
 
2.3%

Length

2024-05-03T23:45:16.494699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:45:16.839315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반계 544
89.2%
해당없음 52
 
8.5%
na 14
 
2.3%

특수목적고등학교계열명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing610
Missing (%)100.0%
Memory size5.5 KiB

입시전후기구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
전기
604 
후기
 
5
전후기
 
1

Length

Max length3
Median length2
Mean length2.0016393
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
전기 604
99.0%
후기 5
 
0.8%
전후기 1
 
0.2%

Length

2024-05-03T23:45:17.275123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:45:17.674088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 604
99.0%
후기 5
 
0.8%
전후기 1
 
0.2%

주야구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
주간
609 
주야간
 
1

Length

Max length3
Median length2
Mean length2.0016393
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
주간 609
99.8%
주야간 1
 
0.2%

Length

2024-05-03T23:45:18.192249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:45:18.488300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 609
99.8%
주야간 1
 
0.2%

설립일자
Real number (ℝ)

Distinct462
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19756098
Minimum18820908
Maximum20240301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-03T23:45:18.817342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18820908
5-th percentile19275544
Q119651136
median19810909
Q319900334
95-th percentile20086220
Maximum20240301
Range1419393
Interquartile range (IQR)249198

Descriptive statistics

Standard deviation241807.01
Coefficient of variation (CV)0.012239614
Kurtosis1.5807611
Mean19756098
Median Absolute Deviation (MAD)129641.5
Skewness-1.0303689
Sum1.205122 × 1010
Variance5.8470631 × 1010
MonotonicityNot monotonic
2024-05-03T23:45:19.251998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19831203 11
 
1.8%
19820707 9
 
1.5%
19451101 8
 
1.3%
19670915 7
 
1.1%
19841205 7
 
1.1%
20050301 6
 
1.0%
19810909 5
 
0.8%
19930720 5
 
0.8%
19920715 5
 
0.8%
19880209 4
 
0.7%
Other values (452) 543
89.0%
ValueCountFrequency (%)
18820908 1
0.2%
18940918 1
0.2%
18950416 1
0.2%
18950719 1
0.2%
18950830 1
0.2%
18950901 1
0.2%
18950918 1
0.2%
18951115 2
0.3%
18960501 1
0.2%
19000401 1
0.2%
ValueCountFrequency (%)
20240301 1
0.2%
20220301 2
0.3%
20210301 1
0.2%
20200301 1
0.2%
20190501 1
0.2%
20190301 2
0.3%
20180901 1
0.2%
20170301 2
0.3%
20160329 1
0.2%
20160301 2
0.3%

개교기념일
Real number (ℝ)

Distinct552
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19759867
Minimum18820908
Maximum20240304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-03T23:45:19.691190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18820908
5-th percentile19289841
Q119653325
median19811104
Q319900909
95-th percentile20090723
Maximum20240304
Range1419396
Interquartile range (IQR)247584.25

Descriptive statistics

Standard deviation241177.02
Coefficient of variation (CV)0.012205397
Kurtosis1.528025
Mean19759867
Median Absolute Deviation (MAD)129903.5
Skewness-1.0056976
Sum1.2053519 × 1010
Variance5.8166355 × 1010
MonotonicityNot monotonic
2024-05-03T23:45:20.321977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19451101 11
 
1.8%
20050506 3
 
0.5%
19800404 3
 
0.5%
19911030 2
 
0.3%
20020301 2
 
0.3%
19890930 2
 
0.3%
19711203 2
 
0.3%
19821007 2
 
0.3%
19790927 2
 
0.3%
20190501 2
 
0.3%
Other values (542) 579
94.9%
ValueCountFrequency (%)
18820908 1
0.2%
18940918 1
0.2%
18950416 1
0.2%
18950918 1
0.2%
18950930 1
0.2%
18951115 2
0.3%
18960501 1
0.2%
19000401 1
0.2%
19001101 1
0.2%
19060923 1
0.2%
ValueCountFrequency (%)
20240304 1
0.2%
20220501 1
0.2%
20220301 1
0.2%
20210301 1
0.2%
20200301 1
0.2%
20190902 1
0.2%
20190501 2
0.3%
20190301 1
0.2%
20181031 1
0.2%
20170504 1
0.2%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
B10
610 

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 610
100.0%

Length

2024-05-03T23:45:20.936148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:45:21.285728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b10 610
100.0%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
서울특별시교육청
610 

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 610
100.0%

Length

2024-05-03T23:45:21.610098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:45:22.042948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 610
100.0%

소재지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
서울특별시
610 

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 610
100.0%

Length

2024-05-03T23:45:22.531713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:45:22.913034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 610
100.0%

적재일시
Real number (ℝ)

Distinct13
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230697
Minimum20230615
Maximum20240428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-03T23:45:23.206399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230615
5-th percentile20230615
Q120230615
median20230615
Q320230615
95-th percentile20230615
Maximum20240428
Range9813
Interquartile range (IQR)0

Descriptive statistics

Standard deviation879.18304
Coefficient of variation (CV)4.3457871 × 10-5
Kurtosis117.70121
Mean20230697
Median Absolute Deviation (MAD)0
Skewness10.916532
Sum1.2340725 × 1010
Variance772962.82
MonotonicityNot monotonic
2024-05-03T23:45:23.630153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20230615 597
97.9%
20240310 2
 
0.3%
20240421 1
 
0.2%
20231015 1
 
0.2%
20240428 1
 
0.2%
20230917 1
 
0.2%
20240303 1
 
0.2%
20230624 1
 
0.2%
20231105 1
 
0.2%
20230628 1
 
0.2%
Other values (3) 3
 
0.5%
ValueCountFrequency (%)
20230615 597
97.9%
20230623 1
 
0.2%
20230624 1
 
0.2%
20230628 1
 
0.2%
20230702 1
 
0.2%
20230910 1
 
0.2%
20230917 1
 
0.2%
20231015 1
 
0.2%
20231105 1
 
0.2%
20240303 1
 
0.2%
ValueCountFrequency (%)
20240428 1
0.2%
20240421 1
0.2%
20240310 2
0.3%
20240303 1
0.2%
20231105 1
0.2%
20231015 1
0.2%
20230917 1
0.2%
20230910 1
0.2%
20230702 1
0.2%
20230628 1
0.2%

Sample

학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명적재일시
0초등학교공립7134150서울숭신초등학교Seoul Soongshin Elementary School서울특별시성동광진교육지원청4702서울특별시 성동구 마장로 161(하왕십리동)02-2252-5950http://soongshin.sen.es.kr02-2236-6134남여공학<NA>N일반계<NA>전기주간1959040319590403B10서울특별시교육청서울특별시20230615
1초등학교사립7134118한양초등학교Hanyang Elementary School서울특별시성동광진교육지원청4763서울특별시 성동구 살곶이길 208/ 한양초등학교 (사근동)02-2293-8732http://www.hye.or.kr02-2299-3492남여공학<NA>N일반계<NA>전기주간1966022019660515B10서울특별시교육청서울특별시20230615
2초등학교사립7134117세종초등학교Sejong Elementary School서울특별시성동광진교육지원청5006서울특별시 광진구 군자로 114/ 세종초등학교 (군자동)02-466-0045http://sje.sejong.ac.kr02-499-3513남여공학<NA>N일반계<NA>전기주간1962100419621004B10서울특별시교육청서울특별시20230615
3초등학교사립7134116성동초등학교Sungdong Elementary School서울특별시성동광진교육지원청5114서울특별시 광진구 자양로4길 63(자양동)02-447-2642http://www.sungdong.es.kr02-454-4322남여공학<NA>N일반계<NA>전기주간1966121619670320B10서울특별시교육청서울특별시20230615
4초등학교공립7134114서울행현초등학교Seoul Haenghyun Elementary School서울특별시성동광진교육지원청4713서울특별시 성동구 행당로 95(행당동)02-2294-7693http://www.haenghyun.es.kr02-2294-3030남여공학<NA>N해당없음<NA>전기주간2005071420050901B10서울특별시교육청서울특별시20230615
5초등학교공립7134113서울행당초등학교Seoul Haengdang Elementary School서울특별시성동광진교육지원청4746서울특별시 성동구 고산자로8길 6/ 서울행당초등학교 (행당동)02-2292-9434http://hd.es.kr02-2296-7922남여공학<NA>N일반계<NA>전기주간1962102619621026B10서울특별시교육청서울특별시20230615
6초등학교공립7134112서울중마초등학교Seoul Jungma Elementary School서울특별시성동광진교육지원청4907서울특별시 광진구 동일로72길 43(중곡동)02-466-1007http://www.jungma.es.kr02-467-9296남여공학<NA>N일반계<NA>전기주간1982111019821110B10서울특별시교육청서울특별시20230615
7초등학교공립7134111서울중광초등학교Seoul Junggwang Elementary School서울특별시성동광진교육지원청4908서울특별시 광진구 긴고랑로13길 59(중곡동/중광초등학교)02-469-3340www.jkschool.net02-465-0936남여공학<NA>N일반계<NA>전기주간1998090119980901B10서울특별시교육청서울특별시20230615
8초등학교공립7134110서울장안초등학교Seoul Jang-an Elementary School서울특별시성동광진교육지원청5004서울특별시 광진구 군자로 74(군자동)02-469-5264http://jangan.sen.es.kr02-469-5266남여공학<NA>N일반계<NA>전기주간1955031919550319B10서울특별시교육청서울특별시20230615
9초등학교공립7134109서울자양초등학교Seoul jayang Elementary School서울특별시성동광진교육지원청5054서울특별시 광진구 아차산로44길 26(자양동)02-457-1468http://jayang.sen.es.kr/02-458-4393남여공학<NA>N일반계<NA>전기주간1945121019451210B10서울특별시교육청서울특별시20230615
학교종류명설립구분표준학교코드학교명영문학교명관할조직명도로명우편번호도로명주소도로명상세주소전화번호홈페이지주소팩스번호남녀공학구분명고등학교구분명산업체특별학급존재여부고등학교일반실업구분명특수목적고등학교계열명입시전후기구분명주야구분명설립일자개교기념일시도교육청코드시도교육청명소재지명적재일시
600초등학교공립7021089서울면목초등학교Seoul Myeonmok Elementary School서울특별시동부교육지원청2160서울특별시 중랑구 면목로 434(면목동)02-491-4341http://www.myeonmok.es.kr02-493-9148남여공학<NA>N일반계<NA>전기주간1930040119441112B10서울특별시교육청서울특별시20230615
601초등학교공립7021088서울면동초등학교Seoul Myeondong Elementary School서울특별시동부교육지원청2220서울특별시 중랑구 면목로57길 32(면목동/ 면동초등학교)02-434-7814http://myeondong.sen.es.kr02-437-1791남여공학<NA>N일반계<NA>전기주간1978090119780901B10서울특별시교육청서울특별시20230615
602초등학교공립7021087서울면남초등학교Seoul Myeonnam Elementary School서울특별시동부교육지원청2251서울특별시 중랑구 면목로30나길 38(면목동/면남초등학교)02-433-0074http://www.myunnam.es.kr02-436-0656남여공학<NA>N일반계<NA>전기주간1982070119831019B10서울특별시교육청서울특별시20230615
603초등학교공립7021086서울망우초등학교Seoul Mang-u Elementary School서울특별시동부교육지원청2179서울특별시 중랑구 망우로72길 49/ 서울망우초등학교 (망우동)02-2209-6323http://mangwoo.sen.es.kr02-2209-6327남여공학<NA>N일반계<NA>전기주간1976082019770506B10서울특별시교육청서울특별시20230615
604초등학교공립7021085서울동원초등학교Seoul Dongwon Elementary School서울특별시동부교육지원청2061서울특별시 중랑구 송림길 114/ 서울동원초등학교 (망우동)02-438-3141http://dongwon.sen.es.kr02-432-8677남여공학<NA>N일반계<NA>전기주간1991012119910504B10서울특별시교육청서울특별시20230615
605초등학교공립7021084서울동답초등학교Seoul Dongdap Elementary School서울특별시동부교육지원청2609서울특별시 동대문구 답십리로60길 12(답십리동/서울동답초등학교)02-2213-9820http://dongdab.sen.es.kr02-2215-9394남여공학<NA>N일반계<NA>전기주간1983120319840523B10서울특별시교육청서울특별시20230615
606초등학교공립7021083서울답십리초등학교Seoul Dapsimni Elementary School서울특별시동부교육지원청2601서울특별시 동대문구 전농로3길 23/ 서울답십리초등학교 (답십리동)02-2242-9256http://www.dapsimni.es.kr02-2215-9247남여공학<NA>N일반계<NA>전기주간1962020119621129B10서울특별시교육청서울특별시20230615
607초등학교공립7021082서울군자초등학교Seoul Gunja Elementary School서울특별시동부교육지원청2632서울특별시 동대문구 한천로6길 21/ 서울군자초등학교 (장안동)02-2244-0488http://kunja.sen.es.kr02-2214-2226남여공학<NA>N일반계<NA>전기주간1973010619731122B10서울특별시교육청서울특별시20230615
608초등학교사립7021080금성초등학교Kumsung Elementary school서울특별시동부교육지원청2028서울특별시 중랑구 신내로21길 55/ 금성초등학교 (신내동)02-3421-0500http://www.kumsung.net02-3421-2700남여공학<NA>N일반계<NA>전기주간1965060719650626B10서울특별시교육청서울특별시20230615
609초등학교사립7021079경희초등학교Kyunghee Elementary School서울특별시동부교육지원청2447서울특별시 동대문구 경희대로 26/ 경희초등학교 (회기동/ 경희대학교)02-962-4300http://www.kyunghee.es.kr02-967-2498남여공학<NA>N일반계<NA>전기주간1961033119610518B10서울특별시교육청서울특별시20230615