Overview

Dataset statistics

Number of variables7
Number of observations596
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory56.2 B

Variable types

Categorical2
Text5

Dataset

Description충청북도교육청_각급학교(유치원포함)현황자료 (학교급, 설립구분, 학교명, 주소, 전화번호, 팩스, 홈페이지)
Author충청북도교육청
URLhttps://www.data.go.kr/data/15050528/fileData.do

Alerts

학교 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:04:06.926850
Analysis finished2023-12-12 11:04:07.706235
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교급
Categorical

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
초등학교
268 
중학교
128 
유치원
103 
고등학교
82 
특수학교
 
10
Other values (2)
 
5

Length

Max length7
Median length4
Mean length3.6375839
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 268
45.0%
중학교 128
21.5%
유치원 103
 
17.3%
고등학교 82
 
13.8%
특수학교 10
 
1.7%
각종학교(고) 3
 
0.5%
각종학교(중) 2
 
0.3%

Length

2023-12-12T20:04:07.809773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:04:07.954050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 268
45.0%
중학교 128
21.5%
유치원 103
 
17.3%
고등학교 82
 
13.8%
특수학교 10
 
1.7%
각종학교(고 3
 
0.5%
각종학교(중 2
 
0.3%

설립구분
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
공립
462 
사립
127 
국립
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 462
77.5%
사립 127
 
21.3%
국립 7
 
1.2%

Length

2023-12-12T20:04:08.102273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:04:08.229219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 462
77.5%
사립 127
 
21.3%
국립 7
 
1.2%

학교
Text

UNIQUE 

Distinct596
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:04:08.551271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14.5
Mean length6.3120805
Min length4

Characters and Unicode

Total characters3762
Distinct characters247
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

Unique596 ?
Unique (%)100.0%

Sample

1st row충북대학교사범대학부설고등학교
2nd row한국교원대학교부설고등학교
3rd row광혜원고등학교
4th row괴산고등학교
5th row국원고등학교
ValueCountFrequency (%)
충북대학교사범대학부설고등학교 1
 
0.2%
장락초등학교 1
 
0.2%
백운중학교 1
 
0.2%
청풍초등학교 1
 
0.2%
한송초등학교 1
 
0.2%
홍광초등학교 1
 
0.2%
화당초등학교 1
 
0.2%
화산초등학교 1
 
0.2%
내토중학교 1
 
0.2%
봉양중학교 1
 
0.2%
Other values (586) 586
98.3%
2023-12-12T20:04:09.084171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 520
 
13.8%
학 513
 
13.6%
등 352
 
9.4%
초 272
 
7.2%
중 142
 
3.8%
원 141
 
3.7%
유 104
 
2.8%
치 103
 
2.7%
고 84
 
2.2%
주 69
 
1.8%
Other values (237) 1462
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3760
99.9%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 520
 
13.8%
학 513
 
13.6%
등 352
 
9.4%
초 272
 
7.2%
중 142
 
3.8%
원 141
 
3.8%
유 104
 
2.8%
치 103
 
2.7%
고 84
 
2.2%
주 69
 
1.8%
Other values (235) 1460
38.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3760
99.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 520
 
13.8%
학 513
 
13.6%
등 352
 
9.4%
초 272
 
7.2%
중 142
 
3.8%
원 141
 
3.8%
유 104
 
2.8%
치 103
 
2.7%
고 84
 
2.2%
주 69
 
1.8%
Other values (235) 1460
38.8%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3760
99.9%
ASCII 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 520
 
13.8%
학 513
 
13.6%
등 352
 
9.4%
초 272
 
7.2%
중 142
 
3.8%
원 141
 
3.8%
유 104
 
2.8%
치 103
 
2.7%
고 84
 
2.2%
주 69
 
1.8%
Other values (235) 1460
38.8%
ASCII
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

주소
Text

Distinct572
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:04:09.592845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length20.88255
Min length8

Characters and Unicode

Total characters12446
Distinct characters245
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

Unique549 ?
Unique (%)92.1%

Sample

1st row충청북도 청주시 흥덕구 장구봉로41번길 12
2nd row충청북도 청주시 흥덕구 강내면 태성탑연로
3rd row충청북도 진천군 광혜원면 덕성산로 56
4th row충청북도 괴산군 괴산읍 읍내로 106
5th row충청북도 충주시 사직산6길 20
ValueCountFrequency (%)
충청북도 595
 
20.1%
청주시 240
 
8.1%
충주시 84
 
2.8%
흥덕구 69
 
2.3%
상당구 65
 
2.2%
제천시 57
 
1.9%
서원구 56
 
1.9%
청원구 50
 
1.7%
음성군 44
 
1.5%
진천군 35
 
1.2%
Other values (863) 1659
56.2%
2023-12-12T20:04:10.330915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2358
18.9%
청 924
 
7.4%
충 683
 
5.5%
북 608
 
4.9%
도 606
 
4.9%
로 454
 
3.6%
1 398
 
3.2%
시 386
 
3.1%
주 335
 
2.7%
2 325
 
2.6%
Other values (235) 5369
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8119
65.2%
Space Separator 2358
 
18.9%
Decimal Number 1882
 
15.1%
Dash Punctuation 87
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 924
 
11.4%
충 683
 
8.4%
북 608
 
7.5%
도 606
 
7.5%
로 454
 
5.6%
시 386
 
4.8%
주 335
 
4.1%
구 257
 
3.2%
길 253
 
3.1%
군 219
 
2.7%
Other values (223) 3394
41.8%
Decimal Number
ValueCountFrequency (%)
1 398
21.1%
2 325
17.3%
3 221
11.7%
5 171
9.1%
4 151
 
8.0%
6 137
 
7.3%
7 135
 
7.2%
0 132
 
7.0%
9 115
 
6.1%
8 97
 
5.2%
Space Separator
ValueCountFrequency (%)
2358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8119
65.2%
Common 4327
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 924
 
11.4%
충 683
 
8.4%
북 608
 
7.5%
도 606
 
7.5%
로 454
 
5.6%
시 386
 
4.8%
주 335
 
4.1%
구 257
 
3.2%
길 253
 
3.1%
군 219
 
2.7%
Other values (223) 3394
41.8%
Common
ValueCountFrequency (%)
2358
54.5%
1 398
 
9.2%
2 325
 
7.5%
3 221
 
5.1%
5 171
 
4.0%
4 151
 
3.5%
6 137
 
3.2%
7 135
 
3.1%
0 132
 
3.1%
9 115
 
2.7%
Other values (2) 184
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8119
65.2%
ASCII 4327
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2358
54.5%
1 398
 
9.2%
2 325
 
7.5%
3 221
 
5.1%
5 171
 
4.0%
4 151
 
3.5%
6 137
 
3.2%
7 135
 
3.1%
0 132
 
3.1%
9 115
 
2.7%
Other values (2) 184
 
4.3%
Hangul
ValueCountFrequency (%)
청 924
 
11.4%
충 683
 
8.4%
북 608
 
7.5%
도 606
 
7.5%
로 454
 
5.6%
시 386
 
4.8%
주 335
 
4.1%
구 257
 
3.2%
길 253
 
3.1%
군 219
 
2.7%
Other values (223) 3394
41.8%

전화번호
Text

Distinct590
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:04:10.672886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.991611
Min length11

Characters and Unicode

Total characters7147
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

Unique584 ?
Unique (%)98.0%

Sample

1st row043-249-2130
2nd row043-261-5555
3rd row043-535-8434
4th row043-833-1903
5th row043-844-7561
ValueCountFrequency (%)
043 23
 
3.6%
043-653-1588 2
 
0.3%
043-648-5489 2
 
0.3%
234 2
 
0.3%
043-543-9639 2
 
0.3%
295 2
 
0.3%
043-648-0280 2
 
0.3%
043-743-6392 2
 
0.3%
043-540-2885 2
 
0.3%
043-756-7566 1
 
0.2%
Other values (597) 597
93.7%
2023-12-12T20:04:11.233019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1146
16.0%
3 1057
14.8%
0 1043
14.6%
4 962
13.5%
2 668
9.3%
8 448
 
6.3%
5 425
 
5.9%
1 388
 
5.4%
7 384
 
5.4%
6 335
 
4.7%
Other values (2) 291
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5960
83.4%
Dash Punctuation 1146
 
16.0%
Space Separator 41
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1057
17.7%
0 1043
17.5%
4 962
16.1%
2 668
11.2%
8 448
7.5%
5 425
7.1%
1 388
 
6.5%
7 384
 
6.4%
6 335
 
5.6%
9 250
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1146
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7147
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1146
16.0%
3 1057
14.8%
0 1043
14.6%
4 962
13.5%
2 668
9.3%
8 448
 
6.3%
5 425
 
5.9%
1 388
 
5.4%
7 384
 
5.4%
6 335
 
4.7%
Other values (2) 291
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7147
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1146
16.0%
3 1057
14.8%
0 1043
14.6%
4 962
13.5%
2 668
9.3%
8 448
 
6.3%
5 425
 
5.9%
1 388
 
5.4%
7 384
 
5.4%
6 335
 
4.7%
Other values (2) 291
 
4.1%

팩스번호
Text

Distinct587
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:04:11.600317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters7152
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

Unique578 ?
Unique (%)97.0%

Sample

1st row043-237-2110
2nd row043-232-7648
3rd row043-535-8432
4th row043-833-1907
5th row043-847-0903
ValueCountFrequency (%)
043-743-6396 2
 
0.3%
043-646-8323 2
 
0.3%
043-653-8412 2
 
0.3%
043-877-9114 2
 
0.3%
043-542-1117 2
 
0.3%
043-534-5834 2
 
0.3%
043-647-8321 2
 
0.3%
043-543-8502 2
 
0.3%
043-647-8417 2
 
0.3%
043-651-8326 1
 
0.2%
Other values (577) 577
96.8%
2023-12-12T20:04:12.157662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1192
16.7%
3 1081
15.1%
4 1012
14.1%
0 897
12.5%
2 593
8.3%
8 512
7.2%
5 449
 
6.3%
7 428
 
6.0%
6 376
 
5.3%
1 341
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5960
83.3%
Dash Punctuation 1192
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1081
18.1%
4 1012
17.0%
0 897
15.1%
2 593
9.9%
8 512
8.6%
5 449
7.5%
7 428
 
7.2%
6 376
 
6.3%
1 341
 
5.7%
9 271
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 1192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1192
16.7%
3 1081
15.1%
4 1012
14.1%
0 897
12.5%
2 593
8.3%
8 512
7.2%
5 449
 
6.3%
7 428
 
6.0%
6 376
 
5.3%
1 341
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1192
16.7%
3 1081
15.1%
4 1012
14.1%
0 897
12.5%
2 593
8.3%
8 512
7.2%
5 449
 
6.3%
7 428
 
6.0%
6 376
 
5.3%
1 341
 
4.8%

홈페이지
Text

Distinct547
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:04:12.513033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length36
Mean length29.281879
Min length4

Characters and Unicode

Total characters17452
Distinct characters62
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

Unique534 ?
Unique (%)89.6%

Sample

1st rowhttp://school.cbe.go.kr/cbnu-h
2nd rowhttp://www.ahsknue.hs.kr/
3rd rowhttp://school.cbe.go.kr/ghw-h
4th rowhttp://school.cbe.go.kr/goesan-h
5th rowhttp://www.gukwon.hs.kr
ValueCountFrequency (%)
해당없음 38
 
6.4%
http://school.cbe.go.kr/saengmyeong-e 2
 
0.3%
http://school.cbe.go.kr/eyu-m 2
 
0.3%
http://www.jngyak.es.kr 2
 
0.3%
http://school.cbe.go.kr/chongpung-e 2
 
0.3%
http://school.cbe.go.kr/soosan-e 2
 
0.3%
http://school.cbe.go.kr/hansong-e 2
 
0.3%
http://school.cbe.go.kr/gagok-e/m01 2
 
0.3%
http://school.cbe.go.kr/cjdaesowon-e 2
 
0.3%
http://www.yongdarm.es.kr 2
 
0.3%
Other values (536) 541
90.6%
2023-12-12T20:04:13.146702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1706
 
9.8%
o 1652
 
9.5%
. 1613
 
9.2%
h 1228
 
7.0%
t 1165
 
6.7%
c 1058
 
6.1%
e 982
 
5.6%
g 810
 
4.6%
s 794
 
4.5%
k 696
 
4.0%
Other values (52) 5748
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12698
72.8%
Other Punctuation 3882
 
22.2%
Dash Punctuation 426
 
2.4%
Decimal Number 212
 
1.2%
Other Letter 159
 
0.9%
Uppercase Letter 70
 
0.4%
Format 2
 
< 0.1%
Math Symbol 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1652
13.0%
h 1228
 
9.7%
t 1165
 
9.2%
c 1058
 
8.3%
e 982
 
7.7%
g 810
 
6.4%
s 794
 
6.3%
k 696
 
5.5%
p 597
 
4.7%
r 587
 
4.6%
Other values (16) 3129
24.6%
Other Letter
ValueCountFrequency (%)
당 38
23.9%
해 38
23.9%
음 38
23.9%
없 38
23.9%
유 1
 
0.6%
원 1
 
0.6%
치 1
 
0.6%
숲 1
 
0.6%
운 1
 
0.6%
거 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 85
40.1%
1 70
33.0%
6 11
 
5.2%
3 10
 
4.7%
2 10
 
4.7%
4 8
 
3.8%
5 8
 
3.8%
8 7
 
3.3%
9 2
 
0.9%
7 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
M 63
90.0%
S 2
 
2.9%
O 2
 
2.9%
E 1
 
1.4%
D 1
 
1.4%
C 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
/ 1706
43.9%
. 1613
41.6%
: 561
 
14.5%
& 1
 
< 0.1%
? 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Format
ValueCountFrequency (%)
 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12768
73.2%
Common 4525
 
25.9%
Hangul 159
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1652
12.9%
h 1228
 
9.6%
t 1165
 
9.1%
c 1058
 
8.3%
e 982
 
7.7%
g 810
 
6.3%
s 794
 
6.2%
k 696
 
5.5%
p 597
 
4.7%
r 587
 
4.6%
Other values (22) 3199
25.1%
Common
ValueCountFrequency (%)
/ 1706
37.7%
. 1613
35.6%
: 561
 
12.4%
- 426
 
9.4%
0 85
 
1.9%
1 70
 
1.5%
6 11
 
0.2%
3 10
 
0.2%
2 10
 
0.2%
4 8
 
0.2%
Other values (9) 25
 
0.6%
Hangul
ValueCountFrequency (%)
당 38
23.9%
해 38
23.9%
음 38
23.9%
없 38
23.9%
유 1
 
0.6%
원 1
 
0.6%
치 1
 
0.6%
숲 1
 
0.6%
운 1
 
0.6%
거 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17290
99.1%
Hangul 159
 
0.9%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1706
 
9.9%
o 1652
 
9.6%
. 1613
 
9.3%
h 1228
 
7.1%
t 1165
 
6.7%
c 1058
 
6.1%
e 982
 
5.7%
g 810
 
4.7%
s 794
 
4.6%
k 696
 
4.0%
Other values (39) 5586
32.3%
Hangul
ValueCountFrequency (%)
당 38
23.9%
해 38
23.9%
음 38
23.9%
없 38
23.9%
유 1
 
0.6%
원 1
 
0.6%
치 1
 
0.6%
숲 1
 
0.6%
운 1
 
0.6%
거 1
 
0.6%
None
ValueCountFrequency (%)
 2
66.7%
é 1
33.3%

Correlations

2023-12-12T20:04:13.313276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급설립구분
학교급1.0000.573
설립구분0.5731.000
2023-12-12T20:04:13.457119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급설립구분
학교급1.0000.462
설립구분0.4621.000
2023-12-12T20:04:13.611246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급설립구분
학교급1.0000.462
설립구분0.4621.000

Missing values

2023-12-12T20:04:07.489363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:04:07.646473image/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.

Sample

학교급설립구분학교주소전화번호팩스번호홈페이지
0고등학교국립충북대학교사범대학부설고등학교충청북도 청주시 흥덕구 장구봉로41번길 12043-249-2130043-237-2110http://school.cbe.go.kr/cbnu-h
1고등학교국립한국교원대학교부설고등학교충청북도 청주시 흥덕구 강내면 태성탑연로043-261-5555043-232-7648http://www.ahsknue.hs.kr/
2고등학교공립광혜원고등학교충청북도 진천군 광혜원면 덕성산로 56043-535-8434043-535-8432http://school.cbe.go.kr/ghw-h
3고등학교공립괴산고등학교충청북도 괴산군 괴산읍 읍내로 106043-833-1903043-833-1907http://school.cbe.go.kr/goesan-h
4고등학교공립국원고등학교충청북도 충주시 사직산6길 20043-844-7561043-847-0903http://www.gukwon.hs.kr
5고등학교공립금천고등학교충청북도 청주시 상당구 호미로233번길 65043-286-2111043-286-4015http://school.cbe.go.kr/kch-h
6고등학교공립단양고등학교충청북도 단양군 단양읍 수변로 2043-422-3522043-422-3894http://school.cbe.go.kr/danyang-h/M01
7고등학교공립대금고등학교충청북도 음성군 금왕읍 신내로 507043-750-5558043-750-5599http://school.cbe.go.kr/daegeum-h
8고등학교공립보은여자고등학교충청북도 보은군 보은읍 보은로 223043-540-2885043-542-1117http://school.cbe.go.kr/boeung-h
9고등학교공립보은정보고등학교충청북도 보은군 보은읍 성주길 27043-544-3804043-543-1955http://school.cbe.go.kr/boeuni-h
학교급설립구분학교주소전화번호팩스번호홈페이지
586초등학교공립매포초등학교충청북도 단양군 매포읍 단양로 1929043-422-4132043-422-8177http://www.maepo.es.kr
587초등학교공립상진초등학교충청북도 단양군 단양읍 상진12길 17043-421-5301043-421-5388http://school.cbe.go.kr/sangjincho-e
588초등학교공립어상천초등학교충청북도 단양군 어상천면 어상천로 930043-423-6007043-423-2060http://school.cbe.go.kr/eosangcheon-e
589초등학교공립영춘초등학교충청북도 단양군 영춘면 온달평강로 63-6043-423-7006043-423-3331http://school.cbe.go.kr/yeongchun-e
590초등학교공립영춘초등학교별방분교장충청북도 단양군 영춘면 별방창원로 449043-422-8823043-422-9560http://school.cbe.go.kr/yeongchun-e
591중학교공립단성중학교충청북도 단양군 단성면 월악로 4633043-422-0792043-422-0573http://school.cbe.go.kr/dansung-m
592중학교공립단양소백산중학교충청북도 단양군 영춘면 장발선돌길 14043-423-9621043-423-9623http://school.cbe.go.kr/sobaeksan-m
593중학교공립단양중학교충청북도 단양군 단양읍 도전9길 12043-422-2280043-423-2996http://danyang.ms.kr
594중학교공립매포중학교충청북도 단양군 매포읍 평동1로 13043-422-3812043-422-3821http://school.cbe.go.kr/maepo-m
595중학교공립영춘중학교충청북도 단양군 영춘면 온달평강로 105043-423-7007043-423-3552http://school.cbe.go.kr/youngchun-m/M01