Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells473
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory146.0 B

Variable types

Categorical9
Text7
Numeric1

Dataset

Description시도 학교유형별 학교연락처 학교주소 등 학교기본현황 데이터, 2018년도 조사 데이터
Author교육부
URLhttps://www.data.go.kr/data/15052733/fileData.do

Alerts

연도 has constant value ""Constant
학교상태 is highly overall correlated with 학교 세부 유형High correlation
학교 세부 유형 is highly overall correlated with 학제 and 3 other fieldsHigh correlation
본분교 is highly overall correlated with 학교 세부 유형High correlation
고등학교유형 is highly overall correlated with 학제 and 1 other fieldsHigh correlation
학제 is highly overall correlated with 학교 세부 유형 and 1 other fieldsHigh correlation
우편번호 is highly overall correlated with 시도High correlation
시도 is highly overall correlated with 우편번호High correlation
학교 세부 유형 is highly imbalanced (74.1%)Imbalance
고등학교유형 is highly imbalanced (58.1%)Imbalance
본분교 is highly imbalanced (92.0%)Imbalance
학교상태 is highly imbalanced (93.7%)Imbalance
홈페이지 has 466 (4.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:13:24.563368
Analysis finished2023-12-12 15:13:28.085669
Duration3.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2018
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 10000
100.0%

Length

2023-12-13T00:13:28.368658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:28.468342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 10000
100.0%

학제
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유치원
4250 
초등학교
2976 
중학교
1546 
고등학교
1117 
특수학교
 
84
Other values (3)
 
27

Length

Max length6
Median length3
Mean length3.421
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 4250
42.5%
초등학교 2976
29.8%
중학교 1546
 
15.5%
고등학교 1117
 
11.2%
특수학교 84
 
0.8%
각종학교 24
 
0.2%
고등기술학교 2
 
< 0.1%
고등공민학교 1
 
< 0.1%

Length

2023-12-13T00:13:28.602651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:28.716312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 4250
42.5%
초등학교 2976
29.8%
중학교 1546
 
15.5%
고등학교 1117
 
11.2%
특수학교 84
 
0.8%
각종학교 24
 
0.2%
고등기술학교 2
 
< 0.1%
고등공민학교 1
 
< 0.1%

학교 세부 유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8883 
일반고
 
738
특성화고(직업)
 
205
자율고
 
89
특목고
 
73

Length

Max length8
Median length4
Mean length3.9968
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8883
88.8%
일반고 738
 
7.4%
특성화고(직업) 205
 
2.1%
자율고 89
 
0.9%
특목고 73
 
0.7%
특성화고(대안) 12
 
0.1%

Length

2023-12-13T00:13:28.845353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:28.946637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8883
88.8%
일반고 738
 
7.4%
특성화고(직업 205
 
2.1%
자율고 89
 
0.9%
특목고 73
 
0.7%
특성화고(대안 12
 
0.1%

고등학교유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유치원
4250 
초등학교
2976 
일반중학교
1537 
일반고등학교
815 
공업고등학교
 
90
Other values (27)
 
332

Length

Max length11
Median length8
Mean length4.0022
Min length3

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row유치원
2nd row유치원
3rd row일반고등학교
4th row유치원
5th row일반중학교

Common Values

ValueCountFrequency (%)
유치원 4250
42.5%
초등학교 2976
29.8%
일반중학교 1537
 
15.4%
일반고등학교 815
 
8.2%
공업고등학교 90
 
0.9%
상업고등학교 90
 
0.9%
기타학교(특수) 77
 
0.8%
농림업고등학교 20
 
0.2%
종합고등학교 17
 
0.2%
예술고등학교 17
 
0.2%
Other values (22) 111
 
1.1%

Length

2023-12-13T00:13:29.068953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유치원 4250
42.5%
초등학교 2976
29.8%
일반중학교 1537
 
15.4%
일반고등학교 815
 
8.2%
공업고등학교 90
 
0.9%
상업고등학교 90
 
0.9%
기타학교(특수 77
 
0.8%
농림업고등학교 20
 
0.2%
종합고등학교 17
 
0.2%
예술고등학교 17
 
0.2%
Other values (22) 111
 
1.1%

시도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기
2245 
서울
1064 
경북
823 
경남
781 
전남
666 
Other values (12)
4421 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전남
2nd row전북
3rd row경북
4th row대전
5th row충남

Common Values

ValueCountFrequency (%)
경기 2245
22.4%
서울 1064
10.6%
경북 823
 
8.2%
경남 781
 
7.8%
전남 666
 
6.7%
전북 622
 
6.2%
충남 564
 
5.6%
강원 500
 
5.0%
부산 486
 
4.9%
인천 456
 
4.6%
Other values (7) 1793
17.9%

Length

2023-12-13T00:13:29.186357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 2245
22.4%
서울 1064
10.6%
경북 823
 
8.2%
경남 781
 
7.8%
전남 666
 
6.7%
전북 622
 
6.2%
충남 564
 
5.6%
강원 500
 
5.0%
부산 486
 
4.9%
인천 456
 
4.6%
Other values (7) 1793
17.9%

교육지원청
Text

Distinct178
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:13:29.536933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.4767
Min length2

Characters and Unicode

Total characters24767
Distinct characters129
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

Unique0 ?
Unique (%)0.0%

Sample

1st row순천
2nd row정읍
3rd row경북
4th row서부
5th row홍성
ValueCountFrequency (%)
서부 675
 
6.8%
동부 509
 
5.1%
남부 354
 
3.5%
경기 249
 
2.5%
북부 249
 
2.5%
창원 186
 
1.9%
서울시 185
 
1.8%
화성·오산 176
 
1.8%
용인 153
 
1.5%
수원 152
 
1.5%
Other values (168) 7112
71.1%
2023-12-13T00:13:30.066908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 2125
 
8.6%
주 1186
 
4.8%
서 1158
 
4.7%
· 1155
 
4.7%
남 1141
 
4.6%
동 989
 
4.0%
천 979
 
4.0%
산 832
 
3.4%
양 821
 
3.3%
시 723
 
2.9%
Other values (119) 13658
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23612
95.3%
Other Punctuation 1155
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2125
 
9.0%
주 1186
 
5.0%
서 1158
 
4.9%
남 1141
 
4.8%
동 989
 
4.2%
천 979
 
4.1%
산 832
 
3.5%
양 821
 
3.5%
시 723
 
3.1%
성 714
 
3.0%
Other values (118) 12944
54.8%
Other Punctuation
ValueCountFrequency (%)
· 1155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23612
95.3%
Common 1155
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2125
 
9.0%
주 1186
 
5.0%
서 1158
 
4.9%
남 1141
 
4.8%
동 989
 
4.2%
천 979
 
4.1%
산 832
 
3.5%
양 821
 
3.5%
시 723
 
3.1%
성 714
 
3.0%
Other values (118) 12944
54.8%
Common
ValueCountFrequency (%)
· 1155
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23612
95.3%
None 1155
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 2125
 
9.0%
주 1186
 
5.0%
서 1158
 
4.9%
남 1141
 
4.8%
동 989
 
4.2%
천 979
 
4.1%
산 832
 
3.5%
양 821
 
3.5%
시 723
 
3.1%
성 714
 
3.0%
Other values (118) 12944
54.8%
None
ValueCountFrequency (%)
· 1155
100.0%

행정구
Text

Distinct207
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:13:30.430152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9523
Min length2

Characters and Unicode

Total characters29523
Distinct characters133
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

Unique0 ?
Unique (%)0.0%

Sample

1st row순천시
2nd row정읍시
3rd row봉화군
4th row유성구
5th row홍성군
ValueCountFrequency (%)
서구 264
 
2.6%
북구 252
 
2.5%
창원시 207
 
2.1%
중구 179
 
1.8%
고양시 176
 
1.8%
수원시 168
 
1.7%
용인시 166
 
1.7%
동구 151
 
1.5%
화성시 150
 
1.5%
전주시 142
 
1.4%
Other values (197) 8145
81.5%
2023-12-13T00:13:30.961336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5246
 
17.8%
구 3204
 
10.9%
군 1960
 
6.6%
주 1267
 
4.3%
천 877
 
3.0%
성 831
 
2.8%
양 805
 
2.7%
산 797
 
2.7%
남 660
 
2.2%
서 656
 
2.2%
Other values (123) 13220
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29523
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5246
 
17.8%
구 3204
 
10.9%
군 1960
 
6.6%
주 1267
 
4.3%
천 877
 
3.0%
성 831
 
2.8%
양 805
 
2.7%
산 797
 
2.7%
남 660
 
2.2%
서 656
 
2.2%
Other values (123) 13220
44.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29523
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5246
 
17.8%
구 3204
 
10.9%
군 1960
 
6.6%
주 1267
 
4.3%
천 877
 
3.0%
성 831
 
2.8%
양 805
 
2.7%
산 797
 
2.7%
남 660
 
2.2%
서 656
 
2.2%
Other values (123) 13220
44.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29523
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5246
 
17.8%
구 3204
 
10.9%
군 1960
 
6.6%
주 1267
 
4.3%
천 877
 
3.0%
성 831
 
2.8%
양 805
 
2.7%
산 797
 
2.7%
남 660
 
2.2%
서 656
 
2.2%
Other values (123) 13220
44.8%

학교명
Text

Distinct8735
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:13:31.256282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length7.4689
Min length4

Characters and Unicode

Total characters74689
Distinct characters554
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7960 ?
Unique (%)79.6%

Sample

1st row민들레유치원
2nd row정읍북초등학교병설유치원
3rd row봉화고등학교
4th row송강유치원
5th row갈산중학교
ValueCountFrequency (%)
자연유치원 15
 
0.1%
이화유치원 15
 
0.1%
성모유치원 12
 
0.1%
현대유치원 11
 
0.1%
예원유치원 11
 
0.1%
성심유치원 11
 
0.1%
하나유치원 10
 
0.1%
샛별유치원 10
 
0.1%
새싹유치원 10
 
0.1%
한빛유치원 10
 
0.1%
Other values (8725) 9886
98.9%
2023-12-13T00:13:31.733510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 8081
 
10.8%
학 8003
 
10.7%
등 6163
 
8.3%
초 5082
 
6.8%
원 4630
 
6.2%
유 4318
 
5.8%
치 4269
 
5.7%
설 2089
 
2.8%
병 2060
 
2.8%
중 1741
 
2.3%
Other values (544) 28253
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74670
> 99.9%
Decimal Number 5
 
< 0.1%
Uppercase Letter 5
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 8081
 
10.8%
학 8003
 
10.7%
등 6163
 
8.3%
초 5082
 
6.8%
원 4630
 
6.2%
유 4318
 
5.8%
치 4269
 
5.7%
설 2089
 
2.8%
병 2060
 
2.8%
중 1741
 
2.3%
Other values (531) 28234
37.8%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 1
20.0%
5 1
20.0%
3 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
L 1
20.0%
K 1
20.0%
G 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74670
> 99.9%
Common 13
 
< 0.1%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 8081
 
10.8%
학 8003
 
10.7%
등 6163
 
8.3%
초 5082
 
6.8%
원 4630
 
6.2%
유 4318
 
5.8%
치 4269
 
5.7%
설 2089
 
2.8%
병 2060
 
2.8%
중 1741
 
2.3%
Other values (531) 28234
37.8%
Common
ValueCountFrequency (%)
( 3
23.1%
) 3
23.1%
2 2
15.4%
- 1
 
7.7%
1
 
7.7%
1 1
 
7.7%
5 1
 
7.7%
3 1
 
7.7%
Latin
ValueCountFrequency (%)
B 2
33.3%
L 1
16.7%
K 1
16.7%
e 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74670
> 99.9%
ASCII 19
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 8081
 
10.8%
학 8003
 
10.7%
등 6163
 
8.3%
초 5082
 
6.8%
원 4630
 
6.2%
유 4318
 
5.8%
치 4269
 
5.7%
설 2089
 
2.8%
병 2060
 
2.8%
중 1741
 
2.3%
Other values (531) 28234
37.8%
ASCII
ValueCountFrequency (%)
( 3
15.8%
) 3
15.8%
2 2
10.5%
B 2
10.5%
L 1
 
5.3%
K 1
 
5.3%
- 1
 
5.3%
e 1
 
5.3%
1
 
5.3%
1 1
 
5.3%
Other values (3) 3
15.8%

본분교
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본교
9901 
분교장
 
99

Length

Max length3
Median length2
Mean length2.0099
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본교 9901
99.0%
분교장 99
 
1.0%

Length

2023-12-13T00:13:31.889187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:31.997633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본교 9901
99.0%
분교장 99
 
1.0%

학교상태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기존(원)교
9862 
휴(원)교
 
73
폐(원)교
 
39
신설(원)교
 
26

Length

Max length6
Median length6
Mean length5.9888
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기존(원)교
2nd row기존(원)교
3rd row기존(원)교
4th row기존(원)교
5th row기존(원)교

Common Values

ValueCountFrequency (%)
기존(원)교 9862
98.6%
휴(원)교 73
 
0.7%
폐(원)교 39
 
0.4%
신설(원)교 26
 
0.3%

Length

2023-12-13T00:13:32.126237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:32.238718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기존(원)교 9862
98.6%
휴(원)교 73
 
0.7%
폐(원)교 39
 
0.4%
신설(원)교 26
 
0.3%

설립
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
7112 
사립
2860 
국립
 
28

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 7112
71.1%
사립 2860
28.6%
국립 28
 
0.3%

Length

2023-12-13T00:13:32.360676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:32.456685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 7112
71.1%
사립 2860
28.6%
국립 28
 
0.3%

남여공학
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7226 
남여공학
2040 
남자
 
369
여자
 
365

Length

Max length4
Median length4
Mean length3.8532
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7226
72.3%
남여공학 2040
 
20.4%
남자 369
 
3.7%
여자 365
 
3.6%

Length

2023-12-13T00:13:32.559242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:32.669817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7226
72.3%
남여공학 2040
 
20.4%
남자 369
 
3.7%
여자 365
 
3.6%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct7169
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32316.539
Minimum1015
Maximum95001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:13:32.805089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1015
5-th percentile4955.6
Q115808.5
median32202
Q350033
95-th percentile59640.05
Maximum95001
Range93986
Interquartile range (IQR)34224.5

Descriptive statistics

Standard deviation18212.051
Coefficient of variation (CV)0.56355203
Kurtosis-1.2638188
Mean32316.539
Median Absolute Deviation (MAD)16919.5
Skewness0.060323585
Sum3.2316539 × 108
Variance3.3167882 × 108
MonotonicityNot monotonic
2023-12-13T00:13:32.954969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33411 8
 
0.1%
42726 7
 
0.1%
15521 7
 
0.1%
5649 7
 
0.1%
15010 7
 
0.1%
15002 7
 
0.1%
57940 6
 
0.1%
14774 6
 
0.1%
18132 6
 
0.1%
8650 6
 
0.1%
Other values (7159) 9933
99.3%
ValueCountFrequency (%)
1015 1
< 0.1%
1027 1
< 0.1%
1032 1
< 0.1%
1042 1
< 0.1%
1048 1
< 0.1%
1051 1
< 0.1%
1054 1
< 0.1%
1061 1
< 0.1%
1095 2
< 0.1%
1137 1
< 0.1%
ValueCountFrequency (%)
95001 1
< 0.1%
94396 1
< 0.1%
70852 1
< 0.1%
63643 1
< 0.1%
63640 1
< 0.1%
63639 1
< 0.1%
63637 2
< 0.1%
63633 2
< 0.1%
63629 2
< 0.1%
63627 2
< 0.1%

도로명주소
Text

Distinct9690
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:13:33.299818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length32.0756
Min length15

Characters and Unicode

Total characters320756
Distinct characters631
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9381 ?
Unique (%)93.8%

Sample

1st row전라남도 순천시 해룡면 상비매봉길 23 (해룡면)
2nd row전라북도 정읍시 명덕1길 41 (농소동)
3rd row경상북도 봉화군 봉화읍 내성로 138 (봉화읍)
4th row대전광역시 유성구 송강로42번길 61 . 송강유치원 (송강동. 청솔아파트)
5th row충청남도 홍성군 갈산면 상촌로9번길 39 (갈산면)
ValueCountFrequency (%)
2952
 
4.6%
경기도 2235
 
3.5%
서울특별시 1051
 
1.6%
경상북도 822
 
1.3%
경상남도 779
 
1.2%
전라남도 666
 
1.0%
전라북도 619
 
1.0%
충청남도 563
 
0.9%
강원도 499
 
0.8%
부산광역시 486
 
0.8%
Other values (18033) 53618
83.4%
2023-12-13T00:13:33.779562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54392
 
17.0%
) 9895
 
3.1%
( 9892
 
3.1%
동 9034
 
2.8%
시 8618
 
2.7%
로 8070
 
2.5%
도 7661
 
2.4%
. 7291
 
2.3%
1 7198
 
2.2%
교 6551
 
2.0%
Other values (621) 192154
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203973
63.6%
Space Separator 54392
 
17.0%
Decimal Number 33702
 
10.5%
Close Punctuation 9895
 
3.1%
Open Punctuation 9892
 
3.1%
Other Punctuation 7303
 
2.3%
Dash Punctuation 1584
 
0.5%
Uppercase Letter 9
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9034
 
4.4%
시 8618
 
4.2%
로 8070
 
4.0%
도 7661
 
3.8%
교 6551
 
3.2%
학 6413
 
3.1%
구 5845
 
2.9%
등 5043
 
2.5%
길 4978
 
2.4%
면 4680
 
2.3%
Other values (592) 137080
67.2%
Decimal Number
ValueCountFrequency (%)
1 7198
21.4%
2 4815
14.3%
3 3942
11.7%
5 3131
9.3%
4 3096
9.2%
6 2605
 
7.7%
7 2553
 
7.6%
0 2318
 
6.9%
9 2059
 
6.1%
8 1985
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 7291
99.8%
/ 5
 
0.1%
· 3
 
< 0.1%
' 2
 
< 0.1%
@ 1
 
< 0.1%
: 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
S 2
22.2%
C 1
 
11.1%
R 1
 
11.1%
I 1
 
11.1%
K 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
c 1
 
25.0%
Space Separator
ValueCountFrequency (%)
54392
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9895
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9892
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1584
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203973
63.6%
Common 116770
36.4%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9034
 
4.4%
시 8618
 
4.2%
로 8070
 
4.0%
도 7661
 
3.8%
교 6551
 
3.2%
학 6413
 
3.1%
구 5845
 
2.9%
등 5043
 
2.5%
길 4978
 
2.4%
면 4680
 
2.3%
Other values (592) 137080
67.2%
Common
ValueCountFrequency (%)
54392
46.6%
) 9895
 
8.5%
( 9892
 
8.5%
. 7291
 
6.2%
1 7198
 
6.2%
2 4815
 
4.1%
3 3942
 
3.4%
5 3131
 
2.7%
4 3096
 
2.7%
6 2605
 
2.2%
Other values (11) 10513
 
9.0%
Latin
ValueCountFrequency (%)
A 3
23.1%
e 3
23.1%
S 2
15.4%
C 1
 
7.7%
R 1
 
7.7%
I 1
 
7.7%
K 1
 
7.7%
c 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203972
63.6%
ASCII 116780
36.4%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54392
46.6%
) 9895
 
8.5%
( 9892
 
8.5%
. 7291
 
6.2%
1 7198
 
6.2%
2 4815
 
4.1%
3 3942
 
3.4%
5 3131
 
2.7%
4 3096
 
2.7%
6 2605
 
2.2%
Other values (18) 10523
 
9.0%
Hangul
ValueCountFrequency (%)
동 9034
 
4.4%
시 8618
 
4.2%
로 8070
 
4.0%
도 7661
 
3.8%
교 6551
 
3.2%
학 6413
 
3.1%
구 5845
 
2.9%
등 5043
 
2.5%
길 4978
 
2.4%
면 4680
 
2.3%
Other values (591) 137079
67.2%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

연락처
Text

Distinct9603
Distinct (%)96.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T00:13:34.028030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.952295
Min length11

Characters and Unicode

Total characters119511
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

Unique9217 ?
Unique (%)92.2%

Sample

1st row061-721-6973
2nd row063-535-5285
3rd row054-679-3355
4th row042-934-6628
5th row041-634-5308
ValueCountFrequency (%)
032-932-7005 4
 
< 0.1%
054-433-8797 3
 
< 0.1%
053-851-2761 3
 
< 0.1%
061-271-7506 3
 
< 0.1%
043-653-1588 3
 
< 0.1%
054-533-8685 3
 
< 0.1%
070-7703-8058 3
 
< 0.1%
061-844-9042 3
 
< 0.1%
063-322-6054 3
 
< 0.1%
055-587-0216 2
 
< 0.1%
Other values (9593) 9969
99.7%
2023-12-13T00:13:34.458642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19998
16.7%
0 18640
15.6%
3 13147
11.0%
2 11225
9.4%
5 10936
9.2%
1 10002
8.4%
4 8917
7.5%
6 8564
7.2%
7 6994
 
5.9%
8 6081
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99513
83.3%
Dash Punctuation 19998
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18640
18.7%
3 13147
13.2%
2 11225
11.3%
5 10936
11.0%
1 10002
10.1%
4 8917
9.0%
6 8564
8.6%
7 6994
 
7.0%
8 6081
 
6.1%
9 5007
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 19998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119511
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19998
16.7%
0 18640
15.6%
3 13147
11.0%
2 11225
9.4%
5 10936
9.2%
1 10002
8.4%
4 8917
7.5%
6 8564
7.2%
7 6994
 
5.9%
8 6081
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19998
16.7%
0 18640
15.6%
3 13147
11.0%
2 11225
9.4%
5 10936
9.2%
1 10002
8.4%
4 8917
7.5%
6 8564
7.2%
7 6994
 
5.9%
8 6081
 
5.1%

팩스번호
Text

Distinct9084
Distinct (%)90.9%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T00:13:34.751028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.93256
Min length11

Characters and Unicode

Total characters119254
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

Unique8191 ?
Unique (%)82.0%

Sample

1st row061-723-1769
2nd row063-532-0561
3rd row054-679-3365
4th row042-934-6626
5th row041-634-5670
ValueCountFrequency (%)
061-356-7939 4
 
< 0.1%
061-271-7313 4
 
< 0.1%
032-932-7034 4
 
< 0.1%
054-473-7522 3
 
< 0.1%
031-337-3141 3
 
< 0.1%
02-892-7260 3
 
< 0.1%
054-432-7900 3
 
< 0.1%
054-531-0907 3
 
< 0.1%
02-703-6910 3
 
< 0.1%
061-353-9046 3
 
< 0.1%
Other values (9074) 9961
99.7%
2023-12-13T00:13:35.167800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19988
16.8%
0 15606
13.1%
3 13329
11.2%
5 11351
9.5%
2 10475
8.8%
1 9755
8.2%
4 9672
8.1%
6 9039
7.6%
7 7270
 
6.1%
8 6577
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99266
83.2%
Dash Punctuation 19988
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15606
15.7%
3 13329
13.4%
5 11351
11.4%
2 10475
10.6%
1 9755
9.8%
4 9672
9.7%
6 9039
9.1%
7 7270
7.3%
8 6577
6.6%
9 6192
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 19988
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19988
16.8%
0 15606
13.1%
3 13329
11.2%
5 11351
9.5%
2 10475
8.8%
1 9755
8.2%
4 9672
8.1%
6 9039
7.6%
7 7270
 
6.1%
8 6577
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19988
16.8%
0 15606
13.1%
3 13329
11.2%
5 11351
9.5%
2 10475
8.8%
1 9755
8.2%
4 9672
8.1%
6 9039
7.6%
7 7270
 
6.1%
8 6577
 
5.5%

홈페이지
Text

MISSING 

Distinct8467
Distinct (%)88.8%
Missing466
Missing (%)4.7%
Memory size156.2 KiB
2023-12-13T00:13:35.374089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length58
Mean length23.276274
Min length7

Characters and Unicode

Total characters221916
Distinct characters216
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7912 ?
Unique (%)83.0%

Sample

1st rowhttp://buksori.es.kr/index.jsp
2nd rowhttp://school.gyo6.net/bonghwahs
3rd rowhttp://
4th rowhttp://galsan.cnems.kr
5th rowhttp://hdk3471@hanmail.net
ValueCountFrequency (%)
http 449
 
4.7%
http://없음 50
 
0.5%
http://해당없음 14
 
0.1%
없음 14
 
0.1%
http://www 11
 
0.1%
http://홈페이지 10
 
0.1%
http://beobseong.es.jne.kr 4
 
< 0.1%
http://www.hansol.kg.kr 4
 
< 0.1%
http://chr.cnees.kr 4
 
< 0.1%
http://sds.icehs.kr 4
 
< 0.1%
Other values (8352) 9029
94.1%
2023-12-13T00:13:35.853927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 23447
 
10.6%
/ 21315
 
9.6%
t 20459
 
9.2%
h 14234
 
6.4%
w 13404
 
6.0%
e 12090
 
5.4%
s 11942
 
5.4%
p 10747
 
4.8%
n 10634
 
4.8%
k 10212
 
4.6%
Other values (206) 73432
33.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 163441
73.6%
Other Punctuation 54392
 
24.5%
Decimal Number 1937
 
0.9%
Dash Punctuation 1141
 
0.5%
Other Letter 713
 
0.3%
Uppercase Letter 182
 
0.1%
Space Separator 61
 
< 0.1%
Math Symbol 36
 
< 0.1%
Connector Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 83
 
11.6%
없 83
 
11.6%
원 50
 
7.0%
치 48
 
6.7%
유 48
 
6.7%
이 22
 
3.1%
지 16
 
2.2%
당 16
 
2.2%
페 16
 
2.2%
홈 15
 
2.1%
Other values (135) 316
44.3%
Lowercase Letter
ValueCountFrequency (%)
t 20459
12.5%
h 14234
 
8.7%
w 13404
 
8.2%
e 12090
 
7.4%
s 11942
 
7.3%
p 10747
 
6.6%
n 10634
 
6.5%
k 10212
 
6.2%
o 9222
 
5.6%
r 8844
 
5.4%
Other values (16) 41653
25.5%
Uppercase Letter
ValueCountFrequency (%)
W 27
14.8%
S 27
14.8%
E 15
 
8.2%
D 14
 
7.7%
C 13
 
7.1%
M 12
 
6.6%
G 10
 
5.5%
N 9
 
4.9%
O 8
 
4.4%
A 7
 
3.8%
Other values (11) 40
22.0%
Decimal Number
ValueCountFrequency (%)
6 684
35.3%
0 306
15.8%
1 222
 
11.5%
2 163
 
8.4%
3 110
 
5.7%
7 104
 
5.4%
5 95
 
4.9%
4 95
 
4.9%
9 86
 
4.4%
8 72
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 23447
43.1%
/ 21315
39.2%
: 9563
17.6%
@ 31
 
0.1%
? 18
 
< 0.1%
& 15
 
< 0.1%
" 2
 
< 0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
59
96.7%
　 2
 
3.3%
Math Symbol
ValueCountFrequency (%)
= 35
97.2%
~ 1
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1141
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 163623
73.7%
Common 57580
 
25.9%
Hangul 713
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 83
 
11.6%
없 83
 
11.6%
원 50
 
7.0%
치 48
 
6.7%
유 48
 
6.7%
이 22
 
3.1%
지 16
 
2.2%
당 16
 
2.2%
페 16
 
2.2%
홈 15
 
2.1%
Other values (135) 316
44.3%
Latin
ValueCountFrequency (%)
t 20459
12.5%
h 14234
 
8.7%
w 13404
 
8.2%
e 12090
 
7.4%
s 11942
 
7.3%
p 10747
 
6.6%
n 10634
 
6.5%
k 10212
 
6.2%
o 9222
 
5.6%
r 8844
 
5.4%
Other values (37) 41835
25.6%
Common
ValueCountFrequency (%)
. 23447
40.7%
/ 21315
37.0%
: 9563
16.6%
- 1141
 
2.0%
6 684
 
1.2%
0 306
 
0.5%
1 222
 
0.4%
2 163
 
0.3%
3 110
 
0.2%
7 104
 
0.2%
Other values (14) 525
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 221201
99.7%
Hangul 713
 
0.3%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 23447
 
10.6%
/ 21315
 
9.6%
t 20459
 
9.2%
h 14234
 
6.4%
w 13404
 
6.1%
e 12090
 
5.5%
s 11942
 
5.4%
p 10747
 
4.9%
n 10634
 
4.8%
k 10212
 
4.6%
Other values (60) 72717
32.9%
Hangul
ValueCountFrequency (%)
음 83
 
11.6%
없 83
 
11.6%
원 50
 
7.0%
치 48
 
6.7%
유 48
 
6.7%
이 22
 
3.1%
지 16
 
2.2%
당 16
 
2.2%
페 16
 
2.2%
홈 15
 
2.1%
Other values (135) 316
44.3%
None
ValueCountFrequency (%)
　 2
100.0%

Interactions

2023-12-13T00:13:27.281025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:13:35.961142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학제학교 세부 유형고등학교유형시도본분교학교상태설립남여공학우편번호
학제1.000NaN1.0000.0940.1770.1350.4490.2930.064
학교 세부 유형NaN1.0000.9230.191NaNNaN0.1900.2130.134
고등학교유형1.0000.9231.0000.1510.1550.1030.6140.3620.097
시도0.0940.1910.1511.0000.1240.0940.2850.2910.957
본분교0.177NaN0.1550.1241.0000.1130.0370.0130.119
학교상태0.135NaN0.1030.0940.1131.0000.0420.0000.065
설립0.4490.1900.6140.2850.0370.0421.0000.5550.256
남여공학0.2930.2130.3620.2910.0130.0000.5551.0000.193
우편번호0.0640.1340.0970.9570.1190.0650.2560.1931.000
2023-12-13T00:13:36.100167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
남여공학학교상태학교 세부 유형설립시도본분교고등학교유형학제
남여공학1.0000.0000.1640.2390.1630.0210.1790.127
학교상태0.0001.0001.0000.0390.0520.0750.0490.061
학교 세부 유형0.1641.0001.0000.1450.0981.0000.6501.000
설립0.2390.0390.1451.0000.1600.0620.3880.320
시도0.1630.0520.0980.1601.0000.1110.0430.039
본분교0.0210.0751.0000.0620.1111.0000.1230.133
고등학교유형0.1790.0490.6500.3880.0430.1231.0000.999
학제0.1270.0611.0000.3200.0390.1330.9991.000
2023-12-13T00:13:36.262105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호학제학교 세부 유형고등학교유형시도본분교학교상태설립남여공학
우편번호1.0000.0310.0850.0360.8080.1190.0420.1160.131
학제0.0311.0001.0000.9990.0390.1330.0610.3200.127
학교 세부 유형0.0851.0001.0000.6500.0981.0001.0000.1450.164
고등학교유형0.0360.9990.6501.0000.0430.1230.0490.3880.179
시도0.8080.0390.0980.0431.0000.1110.0520.1600.163
본분교0.1190.1331.0000.1230.1111.0000.0750.0620.021
학교상태0.0420.0611.0000.0490.0520.0751.0000.0390.000
설립0.1160.3200.1450.3880.1600.0620.0391.0000.239
남여공학0.1310.1270.1640.1790.1630.0210.0000.2391.000

Missing values

2023-12-13T00:13:27.471128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:13:27.750964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T00:13:27.956776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연도학제학교 세부 유형고등학교유형시도교육지원청행정구학교명본분교학교상태설립남여공학우편번호도로명주소연락처팩스번호홈페이지
165182018유치원<NA>유치원전남순천순천시민들레유치원본교기존(원)교사립<NA>57972전라남도 순천시 해룡면 상비매봉길 23 (해룡면)061-721-6973061-723-1769<NA>
154492018유치원<NA>유치원전북정읍정읍시정읍북초등학교병설유치원본교기존(원)교공립<NA>56182전라북도 정읍시 명덕1길 41 (농소동)063-535-5285063-532-0561http://buksori.es.kr/index.jsp
175002018고등학교자율고일반고등학교경북경북봉화군봉화고등학교본교기존(원)교공립남여공학36240경상북도 봉화군 봉화읍 내성로 138 (봉화읍)054-679-3355054-679-3365http://school.gyo6.net/bonghwahs
61052018유치원<NA>유치원대전서부유성구송강유치원본교기존(원)교사립<NA>34008대전광역시 유성구 송강로42번길 61 . 송강유치원 (송강동. 청솔아파트)042-934-6628042-934-6626http://
145202018중학교<NA>일반중학교충남홍성홍성군갈산중학교본교기존(원)교공립남여공학32202충청남도 홍성군 갈산면 상촌로9번길 39 (갈산면)041-634-5308041-634-5670http://galsan.cnems.kr
31482018유치원<NA>유치원부산해운대수영구명성유치원본교기존(원)교사립<NA>48217부산광역시 수영구 망미번영로 88 (망미동.명성유치원)051-754-8930051-754-8930http://hdk3471@hanmail.net
81412018초등학교<NA>초등학교경기부천부천시부천서초등학교본교기존(원)교공립<NA>14626경기도 부천시 부일로330번길 30 . 부천서초등학교 (중동. 부천서초등학교)070-709-9890032-667-6955http://www.pcs.es.kr
20682018중학교<NA>일반중학교서울성동·광진성동구광희중학교본교기존(원)교공립남여공학4742서울특별시 성동구 독서당로62길 46 . 광희중학교 (응봉동)02-2298-025002-2298-0252http://www.kwanghee.ms.kr
195312018유치원<NA>유치원경남창원창원시명성유치원본교기존(원)교사립<NA>51455경상남도 창원시 성산구 비음로91번길 21 (사파동)055-287-1518055-287-0555http://
18312018유치원<NA>유치원서울동작·관악관악구소슬유치원본교기존(원)교사립<NA>8725서울특별시 관악구 구암길 46 소슬유치원 (봉천동. 소슬유치원)02-888-345102-884-3451http://sosl.kg.kr
연도학제학교 세부 유형고등학교유형시도교육지원청행정구학교명본분교학교상태설립남여공학우편번호도로명주소연락처팩스번호홈페이지
138742018초등학교<NA>초등학교충남공주공주시신풍초등학교본교기존(원)교공립<NA>32525충청남도 공주시 신풍면 신풍길 50-11 (신풍면)041-841-0892041-841-1004http://sinppung.cnees.kr
100162018유치원<NA>유치원경기김포김포시양곡초등학교병설유치원본교기존(원)교공립<NA>10059경기도 김포시 양촌읍 양곡로 548 (양촌읍)031-981-7321031-981-2786http://www.yanggok.es.kr
1032018고등학교일반고일반고등학교서울서울시마포구광성고등학교본교기존(원)교사립남자4097서울특별시 마포구 신수로8길 20 (신수동)02-703-345702-711-7397http://www.kwangsung.hs.kr
206662018중학교<NA>일반중학교경남남해남해군창선중학교본교기존(원)교사립남여공학52453경상남도 남해군 창선면 창선로 97-12 (창선면. 창선중학교)055-867-4339055-867-4968http://changseon-m.gne.go.kr
54172018유치원<NA>유치원광주서부서구운리초등학교병설유치원본교기존(원)교공립<NA>62049광주광역시 서구 풍암운리로23번길 5 (풍암동)062-650-3803062-654-2155http://unri.es.kr/
153862018초등학교<NA>초등학교전북익산익산시익산초등학교본교기존(원)교공립<NA>54640전라북도 익산시 동서로61길 27-38 (어양동. 익산초등학교)063-831-4385063-831-4386http://iksan.es.kr
112952018초등학교<NA>초등학교경기파주파주시한가람초등학교본교기존(원)교공립<NA>10895경기도 파주시 금바위로 87 (와동동.452-6)031-807-1528031-807-1528http://han.es.kr
198562018중학교<NA>일반중학교경남진주진주시지수중학교본교기존(원)교공립남여공학52610경상남도 진주시 지수면 용봉로 7 (지수면. 지수중학교)055-758-3051055-758-1939http://jisu-m.gne.go.kr/
58692018유치원<NA>유치원대전동부중구센트럴유치원본교기존(원)교사립<NA>34962대전광역시 중구 서문로 86 (문화동)042-242-1212042-242-1213http://cafe.daum.net/centralpk
66362018초등학교<NA>초등학교울산강남남구격동초등학교본교기존(원)교공립<NA>44662울산광역시 남구 문수로344번길 4 . 격동초등학교 (옥동)052-227-5706052-227-5708http://uskd.es.kr