Overview

Dataset statistics

Number of variables10
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory86.6 B

Variable types

Numeric2
Text3
DateTime2
Categorical3

Dataset

Description충남공주교육지원청 학원 및 교습소 현황
Author충청남도교육청 충청남도공주교육지원청
URLhttps://www.data.go.kr/data/3075064/fileData.do

Alerts

등록상태 has constant value ""Constant
교습과정 is highly overall correlated with 분야구분High correlation
분야구분 is highly overall correlated with 교습과정High correlation
신고번호 has unique valuesUnique
교습소명 has unique valuesUnique
교습소주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:23:52.555524
Analysis finished2023-12-12 14:23:53.693212
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean499.2069
Minimum306
Maximum579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T23:23:53.747596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum306
5-th percentile343.2
Q1467
median529
Q3571
95-th percentile577.6
Maximum579
Range273
Interquartile range (IQR)104

Descriptive statistics

Standard deviation84.998479
Coefficient of variation (CV)0.17026704
Kurtosis-0.17564861
Mean499.2069
Median Absolute Deviation (MAD)45
Skewness-1.0256652
Sum14477
Variance7224.7414
MonotonicityStrictly increasing
2023-12-12T23:23:53.860841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
306 1
 
3.4%
342 1
 
3.4%
579 1
 
3.4%
578 1
 
3.4%
577 1
 
3.4%
576 1
 
3.4%
575 1
 
3.4%
574 1
 
3.4%
573 1
 
3.4%
571 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
306 1
3.4%
342 1
3.4%
345 1
3.4%
356 1
3.4%
360 1
3.4%
430 1
3.4%
435 1
3.4%
467 1
3.4%
470 1
3.4%
491 1
3.4%
ValueCountFrequency (%)
579 1
3.4%
578 1
3.4%
577 1
3.4%
576 1
3.4%
575 1
3.4%
574 1
3.4%
573 1
3.4%
571 1
3.4%
567 1
3.4%
566 1
3.4%

교습소명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:23:54.081121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.7586207
Min length7

Characters and Unicode

Total characters283
Distinct characters114
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row은빛피아노교습소
2nd row아성피아노교습소
3rd row리라피아노교습소
4th row현대피아노교습소
5th row비바체피아노교습소
ValueCountFrequency (%)
은빛피아노교습소 1
 
3.4%
우남퍼스트피아노교습소 1
 
3.4%
윤선생우리집앞영어교실공주신관해링턴교습소 1
 
3.4%
정찬호미술(드로잉,만화)교습소 1
 
3.4%
그릿창의수학교습소 1
 
3.4%
쏭쌤수학교습소 1
 
3.4%
yg미술교습소 1
 
3.4%
말글국어교습소 1
 
3.4%
해아림영어교습소 1
 
3.4%
유니팝미술교습소 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T23:23:54.486238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 31
 
11.0%
습 29
 
10.2%
소 29
 
10.2%
아 11
 
3.9%
피 9
 
3.2%
노 9
 
3.2%
수 8
 
2.8%
학 8
 
2.8%
술 6
 
2.1%
리 5
 
1.8%
Other values (104) 138
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 269
95.1%
Uppercase Letter 9
 
3.2%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 31
 
11.5%
습 29
 
10.8%
소 29
 
10.8%
아 11
 
4.1%
피 9
 
3.3%
노 9
 
3.3%
수 8
 
3.0%
학 8
 
3.0%
술 6
 
2.2%
리 5
 
1.9%
Other values (92) 124
46.1%
Uppercase Letter
ValueCountFrequency (%)
Y 1
11.1%
G 1
11.1%
A 1
11.1%
T 1
11.1%
I 1
11.1%
R 1
11.1%
E 1
11.1%
V 1
11.1%
S 1
11.1%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 269
95.1%
Latin 9
 
3.2%
Common 5
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 31
 
11.5%
습 29
 
10.8%
소 29
 
10.8%
아 11
 
4.1%
피 9
 
3.3%
노 9
 
3.3%
수 8
 
3.0%
학 8
 
3.0%
술 6
 
2.2%
리 5
 
1.9%
Other values (92) 124
46.1%
Latin
ValueCountFrequency (%)
Y 1
11.1%
G 1
11.1%
A 1
11.1%
T 1
11.1%
I 1
11.1%
R 1
11.1%
E 1
11.1%
V 1
11.1%
S 1
11.1%
Common
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
, 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 269
95.1%
ASCII 14
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 31
 
11.5%
습 29
 
10.8%
소 29
 
10.8%
아 11
 
4.1%
피 9
 
3.3%
노 9
 
3.3%
수 8
 
3.0%
학 8
 
3.0%
술 6
 
2.2%
리 5
 
1.9%
Other values (92) 124
46.1%
ASCII
ValueCountFrequency (%)
) 2
14.3%
( 2
14.3%
Y 1
7.1%
G 1
7.1%
A 1
7.1%
T 1
7.1%
I 1
7.1%
R 1
7.1%
E 1
7.1%
V 1
7.1%
Other values (2) 2
14.3%

교습자-성명
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:23:54.709049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters87
Distinct characters48
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

Unique25 ?
Unique (%)86.2%

Sample

1st row박재환
2nd row강윤숙
3rd row이상희
4th row박종숙
5th row이윤정
ValueCountFrequency (%)
이윤정 2
 
6.9%
조성애 2
 
6.9%
이은림 1
 
3.4%
박재환 1
 
3.4%
김유진 1
 
3.4%
안길인 1
 
3.4%
정찬호 1
 
3.4%
윤수진 1
 
3.4%
송유정 1
 
3.4%
김민섭 1
 
3.4%
Other values (17) 17
58.6%
2023-12-12T23:23:55.143757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 8
 
9.2%
김 6
 
6.9%
이 5
 
5.7%
윤 5
 
5.7%
박 4
 
4.6%
민 3
 
3.4%
경 3
 
3.4%
승 2
 
2.3%
백 2
 
2.3%
유 2
 
2.3%
Other values (38) 47
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 8
 
9.2%
김 6
 
6.9%
이 5
 
5.7%
윤 5
 
5.7%
박 4
 
4.6%
민 3
 
3.4%
경 3
 
3.4%
승 2
 
2.3%
백 2
 
2.3%
유 2
 
2.3%
Other values (38) 47
54.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 8
 
9.2%
김 6
 
6.9%
이 5
 
5.7%
윤 5
 
5.7%
박 4
 
4.6%
민 3
 
3.4%
경 3
 
3.4%
승 2
 
2.3%
백 2
 
2.3%
유 2
 
2.3%
Other values (38) 47
54.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 8
 
9.2%
김 6
 
6.9%
이 5
 
5.7%
윤 5
 
5.7%
박 4
 
4.6%
민 3
 
3.4%
경 3
 
3.4%
승 2
 
2.3%
백 2
 
2.3%
유 2
 
2.3%
Other values (38) 47
54.0%

등록일
Date

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1991-10-14 00:00:00
Maximum2019-07-12 00:00:00
2023-12-12T23:23:55.284011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:23:55.401850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

등록상태
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
개원
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개원 29
100.0%

Length

2023-12-12T23:23:55.532718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:23:55.639412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 29
100.0%

개소/휴소/폐소일
Date

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1991-10-14 00:00:00
Maximum2019-07-12 00:00:00
2023-12-12T23:23:55.735642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:23:55.859173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

우편번호
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149283.52
Minimum32506
Maximum314896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T23:23:55.985270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32506
5-th percentile32533.6
Q132563
median32576
Q3314802
95-th percentile314839
Maximum314896
Range282390
Interquartile range (IQR)282239

Descriptive statistics

Standard deviation141387.59
Coefficient of variation (CV)0.94710786
Kurtosis-2.0071917
Mean149283.52
Median Absolute Deviation (MAD)34
Skewness0.36946769
Sum4329222
Variance1.9990451 × 1010
MonotonicityNot monotonic
2023-12-12T23:23:56.105830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
314803 4
 
13.8%
314140 2
 
6.9%
32569 2
 
6.9%
32576 2
 
6.9%
32563 2
 
6.9%
314802 2
 
6.9%
32575 1
 
3.4%
32583 1
 
3.4%
32547 1
 
3.4%
32571 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
32506 1
3.4%
32528 1
3.4%
32542 1
3.4%
32547 1
3.4%
32548 1
3.4%
32561 1
3.4%
32563 2
6.9%
32569 2
6.9%
32570 1
3.4%
32571 1
3.4%
ValueCountFrequency (%)
314896 1
 
3.4%
314863 1
 
3.4%
314803 4
13.8%
314802 2
6.9%
314751 1
 
3.4%
314140 2
6.9%
314090 1
 
3.4%
32583 1
 
3.4%
32579 1
 
3.4%
32576 2
6.9%

교습소주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:23:56.381917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length37
Mean length30.931034
Min length20

Characters and Unicode

Total characters897
Distinct characters73
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

Unique29 ?
Unique (%)100.0%

Sample

1st row충청남도 공주시 번영1로 77-8 (신관동, 주공아파트)
2nd row충청남도 공주시 우성면 귀산길 77 (우성면)
3rd row충청남도 공주시 국고개길 40 (옥룡동)
4th row충청남도 공주시 신금1길 98 현대아파트 4차 아파트 상가
5th row충청남도 공주시 관골2길 36 , 1층 (신관동, 주공아파트)
ValueCountFrequency (%)
충청남도 29
 
14.6%
공주시 29
 
14.6%
16
 
8.1%
신관동 10
 
5.1%
2층 8
 
4.0%
번영1로 5
 
2.5%
유구읍 4
 
2.0%
중동 4
 
2.0%
우성면 4
 
2.0%
한적2길 3
 
1.5%
Other values (64) 86
43.4%
2023-12-12T23:23:56.814527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
18.8%
공 35
 
3.9%
주 35
 
3.9%
2 35
 
3.9%
1 34
 
3.8%
남 32
 
3.6%
시 30
 
3.3%
충 29
 
3.2%
도 29
 
3.2%
청 29
 
3.2%
Other values (63) 440
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 496
55.3%
Space Separator 169
 
18.8%
Decimal Number 135
 
15.1%
Open Punctuation 28
 
3.1%
Close Punctuation 28
 
3.1%
Other Punctuation 25
 
2.8%
Dash Punctuation 16
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 35
 
7.1%
주 35
 
7.1%
남 32
 
6.5%
시 30
 
6.0%
충 29
 
5.8%
도 29
 
5.8%
청 29
 
5.8%
동 26
 
5.2%
길 22
 
4.4%
신 20
 
4.0%
Other values (48) 209
42.1%
Decimal Number
ValueCountFrequency (%)
2 35
25.9%
1 34
25.2%
7 12
 
8.9%
0 11
 
8.1%
3 10
 
7.4%
5 9
 
6.7%
4 9
 
6.7%
8 6
 
4.4%
9 6
 
4.4%
6 3
 
2.2%
Space Separator
ValueCountFrequency (%)
169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 496
55.3%
Common 401
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 35
 
7.1%
주 35
 
7.1%
남 32
 
6.5%
시 30
 
6.0%
충 29
 
5.8%
도 29
 
5.8%
청 29
 
5.8%
동 26
 
5.2%
길 22
 
4.4%
신 20
 
4.0%
Other values (48) 209
42.1%
Common
ValueCountFrequency (%)
169
42.1%
2 35
 
8.7%
1 34
 
8.5%
( 28
 
7.0%
) 28
 
7.0%
, 25
 
6.2%
- 16
 
4.0%
7 12
 
3.0%
0 11
 
2.7%
3 10
 
2.5%
Other values (5) 33
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 496
55.3%
ASCII 401
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
42.1%
2 35
 
8.7%
1 34
 
8.5%
( 28
 
7.0%
) 28
 
7.0%
, 25
 
6.2%
- 16
 
4.0%
7 12
 
3.0%
0 11
 
2.7%
3 10
 
2.5%
Other values (5) 33
 
8.2%
Hangul
ValueCountFrequency (%)
공 35
 
7.1%
주 35
 
7.1%
남 32
 
6.5%
시 30
 
6.0%
충 29
 
5.8%
도 29
 
5.8%
청 29
 
5.8%
동 26
 
5.2%
길 22
 
4.4%
신 20
 
4.0%
Other values (48) 209
42.1%

분야구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
예능(대)
14 
입시.검정 및 보습
14 
기타(대)
 
1

Length

Max length10
Median length5
Mean length7.4137931
Min length5

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row예능(대)
2nd row예능(대)
3rd row예능(대)
4th row예능(대)
5th row예능(대)

Common Values

ValueCountFrequency (%)
예능(대) 14
48.3%
입시.검정 및 보습 14
48.3%
기타(대) 1
 
3.4%

Length

2023-12-12T23:23:56.978460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:23:57.093962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예능(대 14
24.6%
입시.검정 14
24.6%
및 14
24.6%
보습 14
24.6%
기타(대 1
 
1.8%

교습과정
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
음악
10 
입시
9 
미술
4 
보습
3 
입시·논술
2 

Length

Max length5
Median length2
Mean length2.2068966
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
음악 10
34.5%
입시 9
31.0%
미술 4
 
13.8%
보습 3
 
10.3%
입시·논술 2
 
6.9%
바둑 1
 
3.4%

Length

2023-12-12T23:23:57.203052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:23:57.631801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음악 10
34.5%
입시 9
31.0%
미술 4
 
13.8%
보습 3
 
10.3%
입시·논술 2
 
6.9%
바둑 1
 
3.4%

Interactions

2023-12-12T23:23:53.213505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:23:53.033527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:23:53.294900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:23:53.121202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:23:57.715810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고번호교습소명교습자-성명등록일개소/휴소/폐소일우편번호교습소주소분야구분교습과정
신고번호1.0001.0000.8181.0001.0000.6051.0000.5390.608
교습소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
교습자-성명0.8181.0001.0000.9690.9690.0001.0000.9650.904
등록일1.0001.0000.9691.0001.0001.0001.0000.8670.906
개소/휴소/폐소일1.0001.0000.9691.0001.0001.0001.0000.8670.906
우편번호0.6051.0000.0001.0001.0001.0001.0000.0000.289
교습소주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
분야구분0.5391.0000.9650.8670.8670.0001.0001.0001.000
교습과정0.6081.0000.9040.9060.9060.2891.0001.0001.000
2023-12-12T23:23:57.839549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교습과정분야구분
교습과정1.0000.941
분야구분0.9411.000
2023-12-12T23:23:57.926578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고번호우편번호분야구분교습과정
신고번호1.000-0.2400.3560.359
우편번호-0.2401.0000.0000.212
분야구분0.3560.0001.0000.941
교습과정0.3590.2120.9411.000

Missing values

2023-12-12T23:23:53.442631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:23:53.635971image/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

신고번호교습소명교습자-성명등록일등록상태개소/휴소/폐소일우편번호교습소주소분야구분교습과정
0306은빛피아노교습소박재환1991-10-14개원1991-10-1432575충청남도 공주시 번영1로 77-8 (신관동, 주공아파트)예능(대)음악
1342아성피아노교습소강윤숙1993-11-01개원1993-11-0132528충청남도 공주시 우성면 귀산길 77 (우성면)예능(대)음악
2345리라피아노교습소이상희1993-12-14개원1993-12-1432561충청남도 공주시 국고개길 40 (옥룡동)예능(대)음악
3356현대피아노교습소박종숙1996-08-09개원1996-08-09314140충청남도 공주시 신금1길 98 현대아파트 4차 아파트 상가예능(대)음악
4360비바체피아노교습소이윤정1995-01-26개원1995-01-2632570충청남도 공주시 관골2길 36 , 1층 (신관동, 주공아파트)예능(대)음악
5430우성탑피아노교습소김윤경2001-03-03개원2001-03-03314863충청남도 공주시 우성면 동대리길 86-8 (우성면)예능(대)음악
6435샤프랫뮤직스쿨교습소조성애2001-10-22개원2001-10-22314090충청남도 공주시 용당길 57-3 (교동)예능(대)음악
7467명문이젠수학교습소김정녀2006-01-02개원2006-01-02314896충청남도 공주시 유구읍 시장길 45-29 , 3층 (유구읍)입시.검정 및 보습보습
8470온누리미술교습소박장민2006-02-07개원2006-02-07314803충청남도 공주시 한적1길 7 , 2층 (신관동)예능(대)미술
9491브니엘피아노교습소나혜정2008-04-29개원2008-04-2932576충청남도 공주시 번영1로 97-22 (신관동)예능(대)음악
신고번호교습소명교습자-성명등록일등록상태개소/휴소/폐소일우편번호교습소주소분야구분교습과정
19566백선생스터디수학교습소백영미2016-03-31개원2016-03-3132576충청남도 공주시 한적1길 8-5 (신관동)입시.검정 및 보습보습
20567유니팝미술교습소전나영2016-11-01개원2016-11-0132563충청남도 공주시 국고개길 6-1 , 2층 (중동)예능(대)미술
21571해아림영어교습소김민섭2017-03-30개원2017-03-3032583충청남도 공주시 번영1로 84-5 , 3층 (신관동)입시.검정 및 보습입시
22573말글국어교습소조성애2017-06-12개원2017-06-1232579충청남도 공주시 신금1길 100 , 새뜸현대아파트상가동 203호 (금흥동, 새뜸현대4차아파트)입시.검정 및 보습입시
23574YG미술교습소이윤정2017-12-04개원2017-12-0432506충청남도 공주시 유구읍 중앙1길 100-1 , 1층 (유구읍)예능(대)미술
24575쏭쌤수학교습소송유정2018-04-25개원2018-04-2532569충청남도 공주시 한적2길 51-19 , 1층 (금흥동)입시.검정 및 보습입시
25576그릿창의수학교습소윤수진2018-11-23개원2018-11-2332569충청남도 공주시 한적2길 51-12 , 공주신금우남퍼스트빌상가 2층, 204호 (금흥동, 우남퍼스트빌)입시.검정 및 보습입시
26577정찬호미술(드로잉,만화)교습소정찬호2019-05-27개원2019-05-2732542충청남도 공주시 향교1길 1 (교동)예능(대)미술
27578윤선생우리집앞영어교실공주신관해링턴교습소안길인2019-05-27개원2019-05-2732571충청남도 공주시 관골2길 27 (신관동)입시.검정 및 보습입시
28579베리타스(VERITAS)수학교습소문백현2019-07-12개원2019-07-1232547충청남도 공주시 웅진로 139 , 2층 (중동)입시.검정 및 보습입시