Overview

Dataset statistics

Number of variables7
Number of observations269
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory57.5 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description논산계룡지역 학원의 주소, 연락처 정보
Author충청남도교육청 충청남도논산계룡교육지원청
URLhttps://www.data.go.kr/data/3041527/fileData.do

Alerts

교습과정 is highly overall correlated with 분야구분High correlation
분야구분 is highly overall correlated with 교습과정High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:38:55.621313
Analysis finished2023-12-11 23:38:56.434950
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct269
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135
Minimum1
Maximum269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T08:38:56.535498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.4
Q168
median135
Q3202
95-th percentile255.6
Maximum269
Range268
Interquartile range (IQR)134

Descriptive statistics

Standard deviation77.797815
Coefficient of variation (CV)0.57628011
Kurtosis-1.2
Mean135
Median Absolute Deviation (MAD)67
Skewness0
Sum36315
Variance6052.5
MonotonicityStrictly increasing
2023-12-12T08:38:56.726232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
186 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
179 1
 
0.4%
Other values (259) 259
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
Distinct255
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T08:38:57.283100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0037175
Min length2

Characters and Unicode

Total characters808
Distinct characters11
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

Unique241 ?
Unique (%)89.6%

Sample

1st row106
2nd row134
3rd row135
4th row153
5th row156
ValueCountFrequency (%)
639 2
 
0.7%
608 2
 
0.7%
587 2
 
0.7%
626 2
 
0.7%
648 2
 
0.7%
631 2
 
0.7%
506 2
 
0.7%
616 2
 
0.7%
611 2
 
0.7%
623 2
 
0.7%
Other values (245) 249
92.6%
2023-12-12T08:38:57.977778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 128
15.8%
5 111
13.7%
4 108
13.4%
7 87
10.8%
3 74
9.2%
1 73
9.0%
2 65
8.0%
0 63
7.8%
9 50
 
6.2%
8 42
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 801
99.1%
Other Letter 7
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 128
16.0%
5 111
13.9%
4 108
13.5%
7 87
10.9%
3 74
9.2%
1 73
9.1%
2 65
8.1%
0 63
7.9%
9 50
 
6.2%
8 42
 
5.2%
Other Letter
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 801
99.1%
Hangul 7
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
6 128
16.0%
5 111
13.9%
4 108
13.5%
7 87
10.9%
3 74
9.2%
1 73
9.1%
2 65
8.1%
0 63
7.9%
9 50
 
6.2%
8 42
 
5.2%
Hangul
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 801
99.1%
Hangul 7
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 128
16.0%
5 111
13.9%
4 108
13.5%
7 87
10.9%
3 74
9.2%
1 73
9.1%
2 65
8.1%
0 63
7.9%
9 50
 
6.2%
8 42
 
5.2%
Hangul
ValueCountFrequency (%)
7
100.0%
Distinct266
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T08:38:58.323817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.8736059
Min length3

Characters and Unicode

Total characters2118
Distinct characters341
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)97.8%

Sample

1st row나리피아노학원
2nd row부창피아노학원
3rd row한솔학원
4th row리틀잉글리쉬스쿨학원
5th row베토벤피아노학원
ValueCountFrequency (%)
뮤엠영어교습소 2
 
0.7%
엘리트학원 2
 
0.7%
샛별피아노교습소 2
 
0.7%
논산아주수학교습소 1
 
0.4%
한국저작권관리사협회학원 1
 
0.4%
피아노스토리피아노교습소 1
 
0.4%
수민학원 1
 
0.4%
파라다이스댄스학원 1
 
0.4%
입시전문톰미술학원 1
 
0.4%
논산최강학원 1
 
0.4%
Other values (265) 265
95.3%
2023-12-12T08:38:58.813549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
9.4%
181
 
8.5%
87
 
4.1%
86
 
4.1%
81
 
3.8%
64
 
3.0%
47
 
2.2%
42
 
2.0%
38
 
1.8%
38
 
1.8%
Other values (331) 1254
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2058
97.2%
Uppercase Letter 29
 
1.4%
Lowercase Letter 11
 
0.5%
Space Separator 9
 
0.4%
Decimal Number 6
 
0.3%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
200
 
9.7%
181
 
8.8%
87
 
4.2%
86
 
4.2%
81
 
3.9%
64
 
3.1%
47
 
2.3%
42
 
2.0%
38
 
1.8%
38
 
1.8%
Other values (299) 1194
58.0%
Uppercase Letter
ValueCountFrequency (%)
G 4
13.8%
B 4
13.8%
S 3
10.3%
Y 3
10.3%
M 2
 
6.9%
E 2
 
6.9%
J 2
 
6.9%
P 1
 
3.4%
U 1
 
3.4%
K 1
 
3.4%
Other values (6) 6
20.7%
Lowercase Letter
ValueCountFrequency (%)
n 3
27.3%
g 1
 
9.1%
a 1
 
9.1%
e 1
 
9.1%
x 1
 
9.1%
f 1
 
9.1%
o 1
 
9.1%
r 1
 
9.1%
d 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2058
97.2%
Latin 40
 
1.9%
Common 20
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
200
 
9.7%
181
 
8.8%
87
 
4.2%
86
 
4.2%
81
 
3.9%
64
 
3.1%
47
 
2.3%
42
 
2.0%
38
 
1.8%
38
 
1.8%
Other values (299) 1194
58.0%
Latin
ValueCountFrequency (%)
G 4
 
10.0%
B 4
 
10.0%
n 3
 
7.5%
S 3
 
7.5%
Y 3
 
7.5%
M 2
 
5.0%
E 2
 
5.0%
J 2
 
5.0%
P 1
 
2.5%
U 1
 
2.5%
Other values (15) 15
37.5%
Common
ValueCountFrequency (%)
9
45.0%
2 4
20.0%
& 2
 
10.0%
1 2
 
10.0%
( 1
 
5.0%
) 1
 
5.0%
+ 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2058
97.2%
ASCII 60
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
200
 
9.7%
181
 
8.8%
87
 
4.2%
86
 
4.2%
81
 
3.9%
64
 
3.1%
47
 
2.3%
42
 
2.0%
38
 
1.8%
38
 
1.8%
Other values (299) 1194
58.0%
ASCII
ValueCountFrequency (%)
9
 
15.0%
G 4
 
6.7%
2 4
 
6.7%
B 4
 
6.7%
n 3
 
5.0%
S 3
 
5.0%
Y 3
 
5.0%
M 2
 
3.3%
& 2
 
3.3%
E 2
 
3.3%
Other values (22) 24
40.0%
Distinct211
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T08:38:59.092119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6840149
Min length1

Characters and Unicode

Total characters2605
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

Unique208 ?
Unique (%)77.3%

Sample

1st row041-736-7979
2nd row041-735-4630
3rd row041-736-4321
4th row041-735-7530
5th row041-732-3242
ValueCountFrequency (%)
57
 
21.2%
041-734-1221 2
 
0.7%
041-735-8838 2
 
0.7%
041-736-5472 1
 
0.4%
041-732-2576 1
 
0.4%
041-735-7694 1
 
0.4%
042-840-5979 1
 
0.4%
042-551-0371 1
 
0.4%
041-733-1252 1
 
0.4%
070-8805-3236 1
 
0.4%
Other values (201) 201
74.7%
2023-12-12T08:38:59.542871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 481
18.5%
4 375
14.4%
0 344
13.2%
1 277
10.6%
7 244
9.4%
3 212
8.1%
5 181
 
6.9%
2 165
 
6.3%
8 142
 
5.5%
6 95
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2124
81.5%
Dash Punctuation 481
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 375
17.7%
0 344
16.2%
1 277
13.0%
7 244
11.5%
3 212
10.0%
5 181
8.5%
2 165
7.8%
8 142
 
6.7%
6 95
 
4.5%
9 89
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2605
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 481
18.5%
4 375
14.4%
0 344
13.2%
1 277
10.6%
7 244
9.4%
3 212
8.1%
5 181
 
6.9%
2 165
 
6.3%
8 142
 
5.5%
6 95
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 481
18.5%
4 375
14.4%
0 344
13.2%
1 277
10.6%
7 244
9.4%
3 212
8.1%
5 181
 
6.9%
2 165
 
6.3%
8 142
 
5.5%
6 95
 
3.6%

위치
Text

Distinct263
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T08:38:59.954835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length29.69145
Min length17

Characters and Unicode

Total characters7987
Distinct characters166
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

Unique258 ?
Unique (%)95.9%

Sample

1st row충청남도 논산시 연산면 연산5길 3-6
2nd row충청남도 논산시 해월로 60
3rd row충청남도 논산시 시민로319번길 5-3 (취암동)
4th row충청남도 논산시 시민로194번길 38
5th row충청남도 논산시 대림길 8 , 1층 (부창동)
ValueCountFrequency (%)
충청남도 269
 
15.5%
논산시 176
 
10.1%
122
 
7.0%
계룡시 93
 
5.4%
엄사면 85
 
4.9%
2층 50
 
2.9%
내동 33
 
1.9%
시민로295번길 26
 
1.5%
금암동 24
 
1.4%
3층 24
 
1.4%
Other values (389) 835
48.1%
2023-12-12T08:39:00.548424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1641
20.5%
348
 
4.4%
279
 
3.5%
274
 
3.4%
270
 
3.4%
269
 
3.4%
1 266
 
3.3%
2 253
 
3.2%
232
 
2.9%
201
 
2.5%
Other values (156) 3954
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4400
55.1%
Space Separator 1641
 
20.5%
Decimal Number 1361
 
17.0%
Other Punctuation 165
 
2.1%
Open Punctuation 152
 
1.9%
Close Punctuation 150
 
1.9%
Dash Punctuation 117
 
1.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
348
 
7.9%
279
 
6.3%
274
 
6.2%
270
 
6.1%
269
 
6.1%
232
 
5.3%
201
 
4.6%
184
 
4.2%
173
 
3.9%
128
 
2.9%
Other values (139) 2042
46.4%
Decimal Number
ValueCountFrequency (%)
1 266
19.5%
2 253
18.6%
3 175
12.9%
0 148
10.9%
5 119
8.7%
9 91
 
6.7%
4 86
 
6.3%
6 80
 
5.9%
7 74
 
5.4%
8 69
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 159
96.4%
? 6
 
3.6%
Space Separator
ValueCountFrequency (%)
1641
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4400
55.1%
Common 3586
44.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
348
 
7.9%
279
 
6.3%
274
 
6.2%
270
 
6.1%
269
 
6.1%
232
 
5.3%
201
 
4.6%
184
 
4.2%
173
 
3.9%
128
 
2.9%
Other values (139) 2042
46.4%
Common
ValueCountFrequency (%)
1641
45.8%
1 266
 
7.4%
2 253
 
7.1%
3 175
 
4.9%
, 159
 
4.4%
( 152
 
4.2%
) 150
 
4.2%
0 148
 
4.1%
5 119
 
3.3%
- 117
 
3.3%
Other values (6) 406
 
11.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4400
55.1%
ASCII 3587
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1641
45.7%
1 266
 
7.4%
2 253
 
7.1%
3 175
 
4.9%
, 159
 
4.4%
( 152
 
4.2%
) 150
 
4.2%
0 148
 
4.1%
5 119
 
3.3%
- 117
 
3.3%
Other values (7) 407
 
11.3%
Hangul
ValueCountFrequency (%)
348
 
7.9%
279
 
6.3%
274
 
6.2%
270
 
6.1%
269
 
6.1%
232
 
5.3%
201
 
4.6%
184
 
4.2%
173
 
3.9%
128
 
2.9%
Other values (139) 2042
46.4%

분야구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
예능(대)
103 
입시.검정 및 보습
88 
국제화
32 
직업기술
16 
독서실
11 
Other values (4)
19 

Length

Max length10
Median length7
Mean length6.2713755
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row예능(대)
2nd row예능(대)
3rd row입시.검정 및 보습
4th row국제화
5th row예능(대)

Common Values

ValueCountFrequency (%)
예능(대) 103
38.3%
입시.검정 및 보습 88
32.7%
국제화 32
 
11.9%
직업기술 16
 
5.9%
독서실 11
 
4.1%
종합(대) 9
 
3.3%
기타(대) 7
 
2.6%
인문사회(대) 2
 
0.7%
기예(대) 1
 
0.4%

Length

2023-12-12T08:39:00.748138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:39:00.925324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예능(대 103
23.1%
입시.검정 88
19.8%
88
19.8%
보습 88
19.8%
국제화 32
 
7.2%
직업기술 16
 
3.6%
독서실 11
 
2.5%
종합(대 9
 
2.0%
기타(대 7
 
1.6%
인문사회(대 2
 
0.4%

교습과정
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
보습
83 
음악
77 
실용외국어(유아/초·중·고)
32 
미술
22 
독서실(유아/초·중·고)
11 
Other values (20)
44 

Length

Max length24
Median length2
Mean length4.605948
Min length2

Unique

Unique10 ?
Unique (%)3.7%

Sample

1st row음악
2nd row음악
3rd row보습
4th row실용외국어(유아/초·중·고)
5th row음악

Common Values

ValueCountFrequency (%)
보습 83
30.9%
음악 77
28.6%
실용외국어(유아/초·중·고) 32
 
11.9%
미술 22
 
8.2%
독서실(유아/초·중·고) 11
 
4.1%
<NA> 9
 
3.3%
무용 4
 
1.5%
간호조무사 3
 
1.1%
입시 3
 
1.1%
이·미용 3
 
1.1%
Other values (15) 22
 
8.2%

Length

2023-12-12T08:39:01.076791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 83
30.9%
음악 77
28.6%
실용외국어(유아/초·중·고 32
 
11.9%
미술 22
 
8.2%
독서실(유아/초·중·고 11
 
4.1%
na 9
 
3.3%
무용 4
 
1.5%
간호조무사 3
 
1.1%
입시 3
 
1.1%
이·미용 3
 
1.1%
Other values (15) 22
 
8.2%

Interactions

2023-12-12T08:38:56.082765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:39:01.144632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번분야구분교습과정
순번1.0000.3350.368
분야구분0.3351.0001.000
교습과정0.3681.0001.000
2023-12-12T08:39:01.225313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교습과정분야구분
교습과정1.0000.968
분야구분0.9681.000
2023-12-12T08:39:01.302424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번분야구분교습과정
순번1.0000.1580.138
분야구분0.1581.0000.968
교습과정0.1380.9681.000

Missing values

2023-12-12T08:38:56.214692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:38:56.378663image/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

순번등록번호학원명(교습소명)전화번호위치분야구분교습과정
01106나리피아노학원041-736-7979충청남도 논산시 연산면 연산5길 3-6예능(대)음악
12134부창피아노학원041-735-4630충청남도 논산시 해월로 60예능(대)음악
23135한솔학원041-736-4321충청남도 논산시 시민로319번길 5-3 (취암동)입시.검정 및 보습보습
34153리틀잉글리쉬스쿨학원041-735-7530충청남도 논산시 시민로194번길 38국제화실용외국어(유아/초·중·고)
45156베토벤피아노학원041-732-3242충청남도 논산시 대림길 8 , 1층 (부창동)예능(대)음악
56163꿈모아피아노학원041-742-0157충청남도 논산시 연무읍 동안로888번길 12예능(대)음악
67167에바다피아노학원041-736-9794충청남도 논산시 시민로307번길 22번지 , 부영아파트 상가동 302호예능(대)음악
78168예성국악학원042-551-2028충청남도 계룡시 신도안면 신도안1길 49 , 3층 (신도안면)예능(대)음악
89171논산문화요리학원041-736-3030충청남도 논산시 중앙로492번길 19직업기술식음료품(바리스타,소믈리에)
910181한국입시보충학원041-733-7178충청남도 논산시 체육로 33 0입시.검정 및 보습보습
순번등록번호학원명(교습소명)전화번호위치분야구분교습과정
259260756리더스영어교습소-충청남도 논산시 시민로 412 , 2층 (취암동)입시.검정 및 보습보습
260261757위캔일본어교습소-충청남도 논산시 시민로308번길 9 (취암동)국제화실용외국어(유아/초·중·고)
261262758윤선생우리집앞영어교실 금암영어교습소-충청남도 계룡시 장안로 75 , 우림루미아트제상가동 2층 204, 205 (금암동, 우림루미아트)입시.검정 및 보습보습
262263759장쌤창의놀이수학교습소-충청남도 계룡시 장안로 75 , 우림루미아트 제상가동 202, 203호 (금암동, 우림루미아트)기타(대)기타(소)
263264760숲미술교습소-충청남도 계룡시 서금암3길 16-3 (금암동)예능(대)미술
264265761참공수학교습소-충청남도 계룡시 서금암3길 16-3 , 102호 (금암동)입시.검정 및 보습보습
265266762셀파우등생교실 논산아주수학교습소-충청남도 논산시 체육로 18-1 , 아주아파트상가동 310호 (내동, 아주아파트)입시.검정 및 보습보습
266267763쇼팽피아노교습소-충청남도 계룡시 장안로 75 , 206,207호 (금암동, 우림루미아트)예능(대)음악
267268764형설지공수학교습소-충청남도 논산시 시민로295번길 5-13 , 1층 (내동)입시.검정 및 보습보습
268269765소리나무음악교습소-충청남도 논산시 연무읍 연무로 211-9 , 1층 (연무읍)예능(대)음악