Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells11
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구의 어학원 데이터에 대한 데이터이며 상호명, 지번주소, 도로명주소, 전화번호 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087013&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 11 (11.0%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:46:43.231004
Analysis finished2024-03-18 04:46:45.480547
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-18T13:46:45.551490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-03-18T13:46:45.682289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

상호명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-03-18T13:46:45.939043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.66
Min length3

Characters and Unicode

Total characters1066
Distinct characters204
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

Unique100 ?
Unique (%)100.0%

Sample

1st row민병철어학원 주안점
2nd rowSKY 영어학원
3rd row영어의신
4th row정상어학원 인하분원
5th row비욘드잉글리쉬 도화어학원
ValueCountFrequency (%)
삼성영어 11
 
6.4%
뮤엠영어 8
 
4.7%
3030영어 4
 
2.3%
윤선생우리집앞영어교실 3
 
1.8%
gnb어학원 3
 
1.8%
서화캠퍼스 2
 
1.2%
eie고려대어학원 2
 
1.2%
정철어학원주니어 2
 
1.2%
영어교습소 2
 
1.2%
공터영어 2
 
1.2%
Other values (129) 132
77.2%
2024-03-18T13:46:46.295377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 89
 
8.3%
71
 
6.7%
영 65
 
6.1%
학 62
 
5.8%
원 50
 
4.7%
스 40
 
3.8%
교 24
 
2.3%
리 18
 
1.7%
이 16
 
1.5%
삼 15
 
1.4%
Other values (194) 616
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 923
86.6%
Space Separator 71
 
6.7%
Uppercase Letter 38
 
3.6%
Decimal Number 27
 
2.5%
Lowercase Letter 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 89
 
9.6%
영 65
 
7.0%
학 62
 
6.7%
원 50
 
5.4%
스 40
 
4.3%
교 24
 
2.6%
리 18
 
2.0%
이 16
 
1.7%
삼 15
 
1.6%
점 14
 
1.5%
Other values (173) 530
57.4%
Uppercase Letter
ValueCountFrequency (%)
S 8
21.1%
G 6
15.8%
E 6
15.8%
B 4
10.5%
K 4
10.5%
Y 2
 
5.3%
D 2
 
5.3%
A 2
 
5.3%
M 1
 
2.6%
T 1
 
2.6%
Other values (2) 2
 
5.3%
Decimal Number
ValueCountFrequency (%)
3 9
33.3%
0 9
33.3%
1 5
18.5%
2 4
14.8%
Lowercase Letter
ValueCountFrequency (%)
n 3
42.9%
i 2
28.6%
s 1
 
14.3%
k 1
 
14.3%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 923
86.6%
Common 98
 
9.2%
Latin 45
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 89
 
9.6%
영 65
 
7.0%
학 62
 
6.7%
원 50
 
5.4%
스 40
 
4.3%
교 24
 
2.6%
리 18
 
2.0%
이 16
 
1.7%
삼 15
 
1.6%
점 14
 
1.5%
Other values (173) 530
57.4%
Latin
ValueCountFrequency (%)
S 8
17.8%
G 6
13.3%
E 6
13.3%
B 4
8.9%
K 4
8.9%
n 3
 
6.7%
Y 2
 
4.4%
D 2
 
4.4%
A 2
 
4.4%
i 2
 
4.4%
Other values (6) 6
13.3%
Common
ValueCountFrequency (%)
71
72.4%
3 9
 
9.2%
0 9
 
9.2%
1 5
 
5.1%
2 4
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 923
86.6%
ASCII 143
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 89
 
9.6%
영 65
 
7.0%
학 62
 
6.7%
원 50
 
5.4%
스 40
 
4.3%
교 24
 
2.6%
리 18
 
2.0%
이 16
 
1.7%
삼 15
 
1.6%
점 14
 
1.5%
Other values (173) 530
57.4%
ASCII
ValueCountFrequency (%)
71
49.7%
3 9
 
6.3%
0 9
 
6.3%
S 8
 
5.6%
G 6
 
4.2%
E 6
 
4.2%
1 5
 
3.5%
B 4
 
2.8%
2 4
 
2.8%
K 4
 
2.8%
Other values (11) 17
 
11.9%

지번주소
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-03-18T13:46:46.516055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length25.97
Min length18

Characters and Unicode

Total characters2597
Distinct characters124
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row인천광역시 미추홀구 주안동 136-1 경향프라자13층 민병철어학원
2nd row인천광역시 미추홀구 학익동 689-1 일진프라자 401호
3rd row인천광역시 미추홀구 학익동 209-3 401호
4th row인천광역시 미추홀구 용현동 665-12 비젼프라자 5층
5th row인천광역시 미추홀구 도화동 1006-7 5층 비욘드잉글리쉬 도화어학원
ValueCountFrequency (%)
인천광역시 100
19.3%
미추홀구 100
19.3%
용현동 33
 
6.4%
주안동 26
 
5.0%
학익동 19
 
3.7%
2층 14
 
2.7%
3층 10
 
1.9%
도화동 10
 
1.9%
관교동 6
 
1.2%
5층 6
 
1.2%
Other values (157) 195
37.6%
2024-03-18T13:46:46.848388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
423
 
16.3%
1 109
 
4.2%
동 107
 
4.1%
미 103
 
4.0%
천 101
 
3.9%
인 100
 
3.9%
광 100
 
3.9%
역 100
 
3.9%
시 100
 
3.9%
추 100
 
3.9%
Other values (114) 1254
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1489
57.3%
Decimal Number 578
 
22.3%
Space Separator 423
 
16.3%
Dash Punctuation 89
 
3.4%
Uppercase Letter 8
 
0.3%
Other Punctuation 4
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 107
 
7.2%
미 103
 
6.9%
천 101
 
6.8%
인 100
 
6.7%
광 100
 
6.7%
역 100
 
6.7%
시 100
 
6.7%
추 100
 
6.7%
홀 100
 
6.7%
구 100
 
6.7%
Other values (90) 478
32.1%
Decimal Number
ValueCountFrequency (%)
1 109
18.9%
2 94
16.3%
6 91
15.7%
3 57
9.9%
5 55
9.5%
0 50
8.7%
4 41
 
7.1%
7 33
 
5.7%
9 25
 
4.3%
8 23
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
B 2
25.0%
A 1
12.5%
S 1
12.5%
G 1
12.5%
H 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1489
57.3%
Common 1099
42.3%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 107
 
7.2%
미 103
 
6.9%
천 101
 
6.8%
인 100
 
6.7%
광 100
 
6.7%
역 100
 
6.7%
시 100
 
6.7%
추 100
 
6.7%
홀 100
 
6.7%
구 100
 
6.7%
Other values (90) 478
32.1%
Common
ValueCountFrequency (%)
423
38.5%
1 109
 
9.9%
2 94
 
8.6%
6 91
 
8.3%
- 89
 
8.1%
3 57
 
5.2%
5 55
 
5.0%
0 50
 
4.5%
4 41
 
3.7%
7 33
 
3.0%
Other values (7) 57
 
5.2%
Latin
ValueCountFrequency (%)
E 2
22.2%
B 2
22.2%
A 1
11.1%
S 1
11.1%
G 1
11.1%
i 1
11.1%
H 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1489
57.3%
ASCII 1108
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
423
38.2%
1 109
 
9.8%
2 94
 
8.5%
6 91
 
8.2%
- 89
 
8.0%
3 57
 
5.1%
5 55
 
5.0%
0 50
 
4.5%
4 41
 
3.7%
7 33
 
3.0%
Other values (14) 66
 
6.0%
Hangul
ValueCountFrequency (%)
동 107
 
7.2%
미 103
 
6.9%
천 101
 
6.8%
인 100
 
6.7%
광 100
 
6.7%
역 100
 
6.7%
시 100
 
6.7%
추 100
 
6.7%
홀 100
 
6.7%
구 100
 
6.7%
Other values (90) 478
32.1%

도로명주소
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-03-18T13:46:47.060323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length25.56
Min length17

Characters and Unicode

Total characters2556
Distinct characters160
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

Unique98 ?
Unique (%)98.0%

Sample

1st row인천광역시 미추홀구 주안로 108 경향프라자13층 민병철어학원
2nd row인천광역시 미추홀구 매소홀로 372 일진프라자 401호
3rd row인천광역시 미추홀구 매소홀로 355 401호
4th row인천광역시 미추홀구 독배로 311 비젼프라자 5층
5th row인천광역시 미추홀구 숙골로 94 5층 비욘드잉글리쉬 도화어학원
ValueCountFrequency (%)
인천광역시 100
 
18.8%
미추홀구 100
 
18.8%
2층 17
 
3.2%
매소홀로 15
 
2.8%
3층 11
 
2.1%
주안로 8
 
1.5%
33 7
 
1.3%
독배로 6
 
1.1%
5층 6
 
1.1%
낙섬중로 5
 
0.9%
Other values (199) 258
48.4%
2024-03-18T13:46:47.442915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
 
16.9%
홀 117
 
4.6%
인 115
 
4.5%
미 105
 
4.1%
추 102
 
4.0%
구 101
 
4.0%
천 101
 
4.0%
광 100
 
3.9%
역 100
 
3.9%
시 100
 
3.9%
Other values (150) 1182
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1651
64.6%
Decimal Number 446
 
17.4%
Space Separator 433
 
16.9%
Dash Punctuation 11
 
0.4%
Uppercase Letter 8
 
0.3%
Other Punctuation 4
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 117
 
7.1%
인 115
 
7.0%
미 105
 
6.4%
추 102
 
6.2%
구 101
 
6.1%
천 101
 
6.1%
광 100
 
6.1%
역 100
 
6.1%
시 100
 
6.1%
로 98
 
5.9%
Other values (127) 612
37.1%
Decimal Number
ValueCountFrequency (%)
1 89
20.0%
3 77
17.3%
2 70
15.7%
0 45
10.1%
4 41
9.2%
5 34
 
7.6%
7 29
 
6.5%
6 27
 
6.1%
8 20
 
4.5%
9 14
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
E 2
25.0%
A 1
12.5%
G 1
12.5%
H 1
12.5%
S 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1651
64.6%
Common 896
35.1%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 117
 
7.1%
인 115
 
7.0%
미 105
 
6.4%
추 102
 
6.2%
구 101
 
6.1%
천 101
 
6.1%
광 100
 
6.1%
역 100
 
6.1%
시 100
 
6.1%
로 98
 
5.9%
Other values (127) 612
37.1%
Common
ValueCountFrequency (%)
433
48.3%
1 89
 
9.9%
3 77
 
8.6%
2 70
 
7.8%
0 45
 
5.0%
4 41
 
4.6%
5 34
 
3.8%
7 29
 
3.2%
6 27
 
3.0%
8 20
 
2.2%
Other values (6) 31
 
3.5%
Latin
ValueCountFrequency (%)
B 2
22.2%
E 2
22.2%
A 1
11.1%
G 1
11.1%
i 1
11.1%
H 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1651
64.6%
ASCII 905
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
47.8%
1 89
 
9.8%
3 77
 
8.5%
2 70
 
7.7%
0 45
 
5.0%
4 41
 
4.5%
5 34
 
3.8%
7 29
 
3.2%
6 27
 
3.0%
8 20
 
2.2%
Other values (13) 40
 
4.4%
Hangul
ValueCountFrequency (%)
홀 117
 
7.1%
인 115
 
7.0%
미 105
 
6.4%
추 102
 
6.2%
구 101
 
6.1%
천 101
 
6.1%
광 100
 
6.1%
역 100
 
6.1%
시 100
 
6.1%
로 98
 
5.9%
Other values (127) 612
37.1%

전화번호
Text

MISSING 

Distinct89
Distinct (%)100.0%
Missing11
Missing (%)11.0%
Memory size932.0 B
2024-03-18T13:46:47.697914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.94382
Min length12

Characters and Unicode

Total characters1152
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

Unique89 ?
Unique (%)100.0%

Sample

1st row032-431-6622
2nd row0507-1481-0239
3rd row032-876-7003
4th row0507-1449-6015
5th row032-876-0582
ValueCountFrequency (%)
0507-1364-0382 1
 
1.1%
0507-1363-6060 1
 
1.1%
0507-1309-2948 1
 
1.1%
032-429-5648 1
 
1.1%
032-864-1577 1
 
1.1%
032-872-0555 1
 
1.1%
032-876-2224 1
 
1.1%
0507-1359-7133 1
 
1.1%
0507-1406-4824 1
 
1.1%
032-873-3201 1
 
1.1%
Other values (79) 79
88.8%
2024-03-18T13:46:48.186274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 216
18.8%
- 178
15.5%
3 143
12.4%
7 104
9.0%
2 103
8.9%
5 101
8.8%
1 82
 
7.1%
4 74
 
6.4%
8 68
 
5.9%
6 48
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 974
84.5%
Dash Punctuation 178
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
22.2%
3 143
14.7%
7 104
10.7%
2 103
10.6%
5 101
10.4%
1 82
 
8.4%
4 74
 
7.6%
8 68
 
7.0%
6 48
 
4.9%
9 35
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 216
18.8%
- 178
15.5%
3 143
12.4%
7 104
9.0%
2 103
8.9%
5 101
8.8%
1 82
 
7.1%
4 74
 
6.4%
8 68
 
5.9%
6 48
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 216
18.8%
- 178
15.5%
3 143
12.4%
7 104
9.0%
2 103
8.9%
5 101
8.8%
1 82
 
7.1%
4 74
 
6.4%
8 68
 
5.9%
6 48
 
4.2%

Interactions

2024-03-18T13:46:45.186906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:46:48.278400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0001.0000.8700.9401.000
상호명1.0001.0001.0001.0001.000
지번주소0.8701.0001.0001.0001.000
도로명주소0.9401.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-03-18T13:46:45.354654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:46:45.437440image/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

연번상호명지번주소도로명주소전화번호
01민병철어학원 주안점인천광역시 미추홀구 주안동 136-1 경향프라자13층 민병철어학원인천광역시 미추홀구 주안로 108 경향프라자13층 민병철어학원032-431-6622
12SKY 영어학원인천광역시 미추홀구 학익동 689-1 일진프라자 401호인천광역시 미추홀구 매소홀로 372 일진프라자 401호0507-1481-0239
23영어의신인천광역시 미추홀구 학익동 209-3 401호인천광역시 미추홀구 매소홀로 355 401호032-876-7003
34정상어학원 인하분원인천광역시 미추홀구 용현동 665-12 비젼프라자 5층인천광역시 미추홀구 독배로 311 비젼프라자 5층0507-1449-6015
45비욘드잉글리쉬 도화어학원인천광역시 미추홀구 도화동 1006-7 5층 비욘드잉글리쉬 도화어학원인천광역시 미추홀구 숙골로 94 5층 비욘드잉글리쉬 도화어학원032-876-0582
56토픽톡인천광역시 미추홀구 용현동 568-1인천광역시 미추홀구 낙섬중로 1050507-1374-9907
67이플랜어학원 주안점인천광역시 미추홀구 주안동 130-5 덕진빌딩 5층 이플랜어학원 주안점인천광역시 미추홀구 주안로 113 덕진빌딩 5층 이플랜어학원 주안점032-863-0505
78킥스프렙스쿨 2관학원인천광역시 미추홀구 문학동 400-1인천광역시 미추홀구 문학길 1360507-1410-5010
89더퍼스트어학원인천광역시 미추홀구 주안동 133-3 대동빌딩 8층 전관인천광역시 미추홀구 주안로 112 대동빌딩 8층 전관032-868-6969
910인천알리앙스프랑세즈어학원인천광역시 미추홀구 주안동 395-33인천광역시 미추홀구 주안로 51032-873-5556
연번상호명지번주소도로명주소전화번호
9091삼성영어 더월드교습소인천광역시 미추홀구 주안동 1617 더월드스테이트1단지중심상가 110-1호인천광역시 미추홀구 주안로 226 더월드스테이트1단지중심상가 110-1호<NA>
9192삼성영어 도화초교실인천광역시 미추홀구 도화동 541-23인천광역시 미추홀구 경인로 242-13 1층032-873-3405
9293클라라 영어교습소인천광역시 미추홀구 주안동 1438-5 1층인천광역시 미추홀구 인하로257번길 16 1층0507-1381-0187
9394윤선생우리집앞영어교실 용현1호점인천광역시 미추홀구 용현동 623-112인천광역시 미추홀구 토금북로 33-1032-884-7400
9495폴라리스영어전문학원인천광역시 미추홀구 용현동 621-178 3층인천광역시 미추홀구 낙섬중로35번길 1 3층0507-1324-4336
9596젠투스인천광역시 미추홀구 주안8동 1468-1인천광역시 미추홀구 미추홀대로 6020507-1417-7015
9697삼성영어 다니엘교습소인천광역시 미추홀구 용현동 611-66인천광역시 미추홀구 낙섬동로 75032-888-0535
9798삼성영어 학산프라임학습관인천광역시 미추홀구 학익동 721 풍림아이원아파트 102-201인천광역시 미추홀구 매소홀로 340 풍림아이원아파트 102-201<NA>
9899에꼴드펑세어학원인천광역시 미추홀구 주안동 1420-105 2층인천광역시 미추홀구 인하로235번길 17 2층0507-1428-7763
991003030영어 용현러닝센터인천광역시 미추홀구 용현동 558-16 4층인천광역시 미추홀구 낙섬중로 92 4층<NA>