Overview

Dataset statistics

Number of variables9
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory74.2 B

Variable types

Categorical4
Text4
Numeric1

Dataset

Description논산계룡지역 학교 주소, 연락처, 분포도
Author충청남도교육청 충청남도논산계룡교육지원청
URLhttps://www.data.go.kr/data/3041923/fileData.do

Alerts

우편번호 is highly overall correlated with 시군명High correlation
급 is highly overall correlated with 설립별High correlation
시군명 is highly overall correlated with 우편번호High correlation
설립별 is highly overall correlated with 급High correlation
설립별 is highly imbalanced (65.0%)Imbalance
교명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:18:25.609625
Analysis finished2023-12-12 03:18:26.932435
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

급
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
유치원
40 
초등학교
38 
중학교
17 
고등학교
15 

Length

Max length4
Median length3
Mean length3.4818182
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 40
36.4%
초등학교 38
34.5%
중학교 17
15.5%
고등학교 15
 
13.6%

Length

2023-12-12T12:18:27.038258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:27.195266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 40
36.4%
초등학교 38
34.5%
중학교 17
15.5%
고등학교 15
 
13.6%

시군명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
논산
92 
계룡
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
논산 92
83.6%
계룡 18
 
16.4%

Length

2023-12-12T12:18:27.337807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:27.483725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논산 92
83.6%
계룡 18
 
16.4%

교명
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T12:18:28.144140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.8363636
Min length5

Characters and Unicode

Total characters862
Distinct characters87
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

Unique110 ?
Unique (%)100.0%

Sample

1st row강경중앙초등학교병설유치원
2nd row강경산양초등학교병설유치원
3rd row강경황산초등학교병설유치원
4th row구자곡초등학교병설유치원
5th row연무초등학교병설유치원
ValueCountFrequency (%)
강경중앙초등학교병설유치원 1
 
0.9%
금암초등학교 1
 
0.9%
논산여자중학교 1
 
0.9%
논산중학교 1
 
0.9%
이화초등학교 1
 
0.9%
채운초등학교 1
 
0.9%
성덕초등학교 1
 
0.9%
은진초등학교 1
 
0.9%
가야곡초등학교 1
 
0.9%
반곡초등학교 1
 
0.9%
Other values (100) 100
90.9%
2023-12-12T12:18:28.649462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 102
 
11.8%
교 102
 
11.8%
등 83
 
9.6%
초 68
 
7.9%
원 43
 
5.0%
치 40
 
4.6%
유 40
 
4.6%
병 32
 
3.7%
설 32
 
3.7%
산 24
 
2.8%
Other values (77) 296
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 102
 
11.8%
교 102
 
11.8%
등 83
 
9.6%
초 68
 
7.9%
원 43
 
5.0%
치 40
 
4.6%
유 40
 
4.6%
병 32
 
3.7%
설 32
 
3.7%
산 24
 
2.8%
Other values (77) 296
34.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 862
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 102
 
11.8%
교 102
 
11.8%
등 83
 
9.6%
초 68
 
7.9%
원 43
 
5.0%
치 40
 
4.6%
유 40
 
4.6%
병 32
 
3.7%
설 32
 
3.7%
산 24
 
2.8%
Other values (77) 296
34.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 102
 
11.8%
교 102
 
11.8%
등 83
 
9.6%
초 68
 
7.9%
원 43
 
5.0%
치 40
 
4.6%
유 40
 
4.6%
병 32
 
3.7%
설 32
 
3.7%
산 24
 
2.8%
Other values (77) 296
34.3%

설립별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
본교
94 
일반고
 
6
특성화고
 
4
자율고
 
3
특목고
 
2

Length

Max length4
Median length2
Mean length2.1727273
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
본교 94
85.5%
일반고 6
 
5.5%
특성화고 4
 
3.6%
자율고 3
 
2.7%
특목고 2
 
1.8%
단설 1
 
0.9%

Length

2023-12-12T12:18:28.870827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:29.063802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본교 94
85.5%
일반고 6
 
5.5%
특성화고 4
 
3.6%
자율고 3
 
2.7%
특목고 2
 
1.8%
단설 1
 
0.9%

구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
공립
91 
사립
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 91
82.7%
사립 19
 
17.3%

Length

2023-12-12T12:18:29.231106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:29.403096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 91
82.7%
사립 19
 
17.3%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32938.245
Minimum32801
Maximum33028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T12:18:29.586574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32801
5-th percentile32806.9
Q132911
median32941
Q332999
95-th percentile33022.55
Maximum33028
Range227
Interquartile range (IQR)88

Descriptive statistics

Standard deviation66.761411
Coefficient of variation (CV)0.002026866
Kurtosis-0.46214267
Mean32938.245
Median Absolute Deviation (MAD)38.5
Skewness-0.61235008
Sum3623207
Variance4457.086
MonotonicityNot monotonic
2023-12-12T12:18:29.799012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32954 5
 
4.5%
32801 5
 
4.5%
32913 4
 
3.6%
32934 3
 
2.7%
33008 3
 
2.7%
32938 3
 
2.7%
33019 3
 
2.7%
33011 3
 
2.7%
32927 2
 
1.8%
33013 2
 
1.8%
Other values (49) 77
70.0%
ValueCountFrequency (%)
32801 5
4.5%
32806 1
 
0.9%
32808 1
 
0.9%
32812 1
 
0.9%
32815 1
 
0.9%
32819 2
 
1.8%
32824 2
 
1.8%
32827 1
 
0.9%
32828 1
 
0.9%
32833 1
 
0.9%
ValueCountFrequency (%)
33028 2
1.8%
33026 2
1.8%
33023 2
1.8%
33022 2
1.8%
33021 2
1.8%
33019 3
2.7%
33014 2
1.8%
33013 2
1.8%
33011 3
2.7%
33009 2
1.8%

주 소
Text

Distinct79
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T12:18:30.254248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length16.572727
Min length11

Characters and Unicode

Total characters1823
Distinct characters111
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

Unique48 ?
Unique (%)43.6%

Sample

1st row논산시 강경읍 옥녀봉로 8
2nd row논산시 강경읍 산양길 45
3rd row논산시 강경읍 대흥로 34번길 5
4th row논산시 연무로 369(연무읍)
5th row논산시 연무읍 득안대로 527번지
ValueCountFrequency (%)
논산시 92
 
21.0%
계룡시 17
 
3.9%
강경읍 11
 
2.5%
연무읍 10
 
2.3%
연산면 8
 
1.8%
시민로 7
 
1.6%
계백로 7
 
1.6%
양촌면 6
 
1.4%
5 6
 
1.4%
연무로 6
 
1.4%
Other values (144) 269
61.3%
2023-12-12T12:18:30.919447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
18.6%
시 117
 
6.4%
산 112
 
6.1%
논 94
 
5.2%
로 90
 
4.9%
1 89
 
4.9%
2 67
 
3.7%
면 60
 
3.3%
6 42
 
2.3%
3 41
 
2.2%
Other values (101) 772
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1031
56.6%
Decimal Number 401
 
22.0%
Space Separator 339
 
18.6%
Dash Punctuation 29
 
1.6%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 117
 
11.3%
산 112
 
10.9%
논 94
 
9.1%
로 90
 
8.7%
면 60
 
5.8%
길 38
 
3.7%
번 28
 
2.7%
연 28
 
2.7%
계 27
 
2.6%
읍 23
 
2.2%
Other values (85) 414
40.2%
Decimal Number
ValueCountFrequency (%)
1 89
22.2%
2 67
16.7%
6 42
10.5%
3 41
10.2%
5 36
9.0%
4 28
 
7.0%
8 28
 
7.0%
0 28
 
7.0%
7 23
 
5.7%
9 19
 
4.7%
Other Punctuation
ValueCountFrequency (%)
? 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1031
56.6%
Common 792
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 117
 
11.3%
산 112
 
10.9%
논 94
 
9.1%
로 90
 
8.7%
면 60
 
5.8%
길 38
 
3.7%
번 28
 
2.7%
연 28
 
2.7%
계 27
 
2.6%
읍 23
 
2.2%
Other values (85) 414
40.2%
Common
ValueCountFrequency (%)
339
42.8%
1 89
 
11.2%
2 67
 
8.5%
6 42
 
5.3%
3 41
 
5.2%
5 36
 
4.5%
- 29
 
3.7%
4 28
 
3.5%
8 28
 
3.5%
0 28
 
3.5%
Other values (6) 65
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1031
56.6%
ASCII 792
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
42.8%
1 89
 
11.2%
2 67
 
8.5%
6 42
 
5.3%
3 41
 
5.2%
5 36
 
4.5%
- 29
 
3.7%
4 28
 
3.5%
8 28
 
3.5%
0 28
 
3.5%
Other values (6) 65
 
8.2%
Hangul
ValueCountFrequency (%)
시 117
 
11.3%
산 112
 
10.9%
논 94
 
9.1%
로 90
 
8.7%
면 60
 
5.8%
길 38
 
3.7%
번 28
 
2.7%
연 28
 
2.7%
계 27
 
2.6%
읍 23
 
2.2%
Other values (85) 414
40.2%

전화번호
Text

Distinct104
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T12:18:31.360671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.8181818
Min length7

Characters and Unicode

Total characters970
Distinct characters14
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

Unique98 ?
Unique (%)89.1%

Sample

1st row745-6674
2nd row745-1457
3rd row745-0263
4th row980-2997
5th row741-5295
ValueCountFrequency (%)
745-1457 2
 
1.8%
745-0678 2
 
1.8%
734-4708 2
 
1.8%
733-0323 2
 
1.8%
741-5295 2
 
1.8%
742-2228 2
 
1.8%
741-0074 2
 
1.8%
745-1603 1
 
0.9%
734-3274 1
 
0.9%
735-2834 1
 
0.9%
Other values (93) 93
84.5%
2023-12-12T12:18:31.947498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 133
13.7%
- 128
13.2%
4 115
11.9%
3 108
11.1%
2 99
10.2%
0 91
9.4%
1 70
7.2%
5 69
7.1%
6 58
6.0%
8 51
 
5.3%
Other values (4) 48
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 832
85.8%
Dash Punctuation 128
 
13.2%
Space Separator 7
 
0.7%
Other Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 133
16.0%
4 115
13.8%
3 108
13.0%
2 99
11.9%
0 91
10.9%
1 70
8.4%
5 69
8.3%
6 58
7.0%
8 51
 
6.1%
9 38
 
4.6%
Other Punctuation
ValueCountFrequency (%)
? 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 970
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 133
13.7%
- 128
13.2%
4 115
11.9%
3 108
11.1%
2 99
10.2%
0 91
9.4%
1 70
7.2%
5 69
7.1%
6 58
6.0%
8 51
 
5.3%
Other values (4) 48
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 133
13.7%
- 128
13.2%
4 115
11.9%
3 108
11.1%
2 99
10.2%
0 91
9.4%
1 70
7.2%
5 69
7.1%
6 58
6.0%
8 51
 
5.3%
Other values (4) 48
 
4.9%

팩스번호
Text

Distinct78
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T12:18:32.294097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.6727273
Min length7

Characters and Unicode

Total characters954
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

Unique47 ?
Unique (%)42.7%

Sample

1st row745-0678
2nd row745-0366
3rd row745-0274
4th row742-2997
5th row742-2992
ValueCountFrequency (%)
742-7020 3
 
2.7%
735-0518 2
 
1.8%
742-4370 2
 
1.8%
733-2703 2
 
1.8%
736-3911 2
 
1.8%
735-9405 2
 
1.8%
734-4021 2
 
1.8%
741-2227 2
 
1.8%
732-4795 2
 
1.8%
042-841-9738 2
 
1.8%
Other values (67) 89
80.9%
2023-12-12T12:18:32.808958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 143
15.0%
- 127
13.3%
4 116
12.2%
3 106
11.1%
2 102
10.7%
0 78
8.2%
5 69
7.2%
1 64
6.7%
8 54
 
5.7%
9 50
 
5.2%
Other values (2) 45
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 824
86.4%
Dash Punctuation 127
 
13.3%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 143
17.4%
4 116
14.1%
3 106
12.9%
2 102
12.4%
0 78
9.5%
5 69
8.4%
1 64
7.8%
8 54
 
6.6%
9 50
 
6.1%
6 42
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 143
15.0%
- 127
13.3%
4 116
12.2%
3 106
11.1%
2 102
10.7%
0 78
8.2%
5 69
7.2%
1 64
6.7%
8 54
 
5.7%
9 50
 
5.2%
Other values (2) 45
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 143
15.0%
- 127
13.3%
4 116
12.2%
3 106
11.1%
2 102
10.7%
0 78
8.2%
5 69
7.2%
1 64
6.7%
8 54
 
5.7%
9 50
 
5.2%
Other values (2) 45
 
4.7%

Interactions

2023-12-12T12:18:26.452615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:18:32.974876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급시군명설립별구분우편번호주 소팩스번호
급1.0000.0000.7210.4570.0000.0000.193
시군명0.0001.0000.0000.0001.0001.0001.000
설립별0.7210.0001.0000.3600.1280.9730.998
구분0.4570.0000.3601.0000.3771.0001.000
우편번호0.0001.0000.1280.3771.0001.0001.000
주 소0.0001.0000.9731.0001.0001.0001.000
팩스번호0.1931.0000.9981.0001.0001.0001.000
2023-12-12T12:18:33.142502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립별시군명구분급
설립별1.0000.0000.2530.548
시군명0.0001.0000.0000.000
구분0.2530.0001.0000.305
급0.5480.0000.3051.000
2023-12-12T12:18:33.265755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호급시군명설립별구분
우편번호1.0000.0000.9720.0850.285
급0.0001.0000.0000.5480.305
시군명0.9720.0001.0000.0000.000
설립별0.0850.5480.0001.0000.253
구분0.2850.3050.0000.2531.000

Missing values

2023-12-12T12:18:26.618888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:18:26.845738image/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

급시군명교명설립별구분우편번호주 소전화번호팩스번호
0유치원논산강경중앙초등학교병설유치원본교공립32934논산시 강경읍 옥녀봉로 8745-6674745-0678
1유치원논산강경산양초등학교병설유치원본교공립32942논산시 강경읍 산양길 45745-1457745-0366
2유치원논산강경황산초등학교병설유치원본교공립32936논산시 강경읍 대흥로 34번길 5745-0263745-0274
3유치원논산구자곡초등학교병설유치원본교공립33011논산시 연무로 369(연무읍)980-2997742-2997
4유치원논산연무초등학교병설유치원본교공립33013논산시 연무읍 득안대로 527번지741-5295742-2992
5유치원논산황화초등학교병설유치원본교공립33014논산시 연무읍 마봉로 31-4741-4923742-4932
6유치원논산연무중앙초등학교병설유치원본교공립33008논산시 연무로 211-14070-7008-8163742-4370
7유치원논산성동초등학교병설유치원본교공립32927논산시 성동면 성동로 240번길 30734-2622732-6027
8유치원논산원봉초등학교병설유치원본교공립32926논산시 성동면 성동로 552734-6084735-4416
9유치원논산광석초등학교병설유치원본교공립32922논산시 광석면 사계로 451733-8440734-3351
급시군명교명설립별구분우편번호주 소전화번호팩스번호
100고등학교논산연무대기계공업고등학교특목고공립33011논산시 연무읍 연무로 268-9742-7302742-7307
101고등학교논산충남인터넷고등학교특성화고공립32913논산시 연산면 계백로 1958-16736-6542736-9151
102고등학교논산충남체육고등학교특목고공립32993논산시 체육로 82 (관촉동)735-9122735-9125
103고등학교계룡용남고등학교자율고공립32801계룡시 신도안면 신도안1길 32042-717-2156042-551-4111
104고등학교계룡계룡고등학교일반고공립32827계룡시 두마면 서금암로 89042-840-5314042-840-5320
105고등학교논산논산대건고등학교일반고사립32960논산시 논산대로 119735-1963735-1962
106고등학교논산연무고등학교일반고사립33009논산시 연무읍 동안로 887번길 5741-5670742-3307
107고등학교논산건양대학교병설건양고등학교일반고사립33022논산시 양촌면 황산벌로 486-21741-2103741-7939
108고등학교논산쌘뽈여자고등학교일반고사립32954논산시 시민로 411735-2864732-4795
109고등학교논산논산여자상업고등학교특성화고사립32988논산시 시민로 197732-2923733-6367