Overview

Dataset statistics

Number of variables6
Number of observations81
Missing cells25
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory49.6 B

Variable types

Categorical2
Text4

Dataset

Description인천광역시 서구 관내에 위치한 골프연습장업 (업종, 상호, 시설주소(지번, 도로명 주소), 전화번호) 현행화 데이터 입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089480&srcSe=7661IVAWM27C61E190

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 25 (30.9%) missing valuesMissing
상호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 17:15:27.864375
Analysis finished2024-01-28 17:15:28.491252
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
골프연습장업
81 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 81
100.0%

Length

2024-01-29T02:15:28.542083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:15:28.644342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 81
100.0%

상호
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-01-29T02:15:28.842164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.0493827
Min length4

Characters and Unicode

Total characters652
Distinct characters160
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

Unique81 ?
Unique (%)100.0%

Sample

1st row검단월드 골프클럽
2nd row서광골프구랍부
3rd row(주)눈뫼
4th row화미골프클럽(주)
5th row백석블루힐골프클럽
ValueCountFrequency (%)
스크린골프 5
 
4.5%
골프 4
 
3.6%
아카데미 4
 
3.6%
gdr 2
 
1.8%
골프클럽 2
 
1.8%
골프존파크 2
 
1.8%
청라삼성골프연습장 1
 
0.9%
청라지점(골프 1
 
0.9%
나인짐 1
 
0.9%
세아스크린골프존 1
 
0.9%
Other values (87) 87
79.1%
2024-01-29T02:15:29.182121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
골 73
 
11.2%
프 73
 
11.2%
스 37
 
5.7%
29
 
4.4%
크 27
 
4.1%
린 25
 
3.8%
라 15
 
2.3%
연 14
 
2.1%
장 13
 
2.0%
습 13
 
2.0%
Other values (150) 333
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 572
87.7%
Space Separator 29
 
4.4%
Uppercase Letter 26
 
4.0%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Lowercase Letter 5
 
0.8%
Other Punctuation 3
 
0.5%
Decimal Number 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 73
 
12.8%
프 73
 
12.8%
스 37
 
6.5%
크 27
 
4.7%
린 25
 
4.4%
라 15
 
2.6%
연 14
 
2.4%
장 13
 
2.3%
습 13
 
2.3%
존 12
 
2.1%
Other values (126) 270
47.2%
Uppercase Letter
ValueCountFrequency (%)
G 6
23.1%
S 4
15.4%
B 3
11.5%
R 2
 
7.7%
J 2
 
7.7%
D 2
 
7.7%
M 2
 
7.7%
N 1
 
3.8%
I 1
 
3.8%
P 1
 
3.8%
Other values (2) 2
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
k 1
20.0%
f 1
20.0%
l 1
20.0%
o 1
20.0%
y 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
9 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 572
87.7%
Common 49
 
7.5%
Latin 31
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 73
 
12.8%
프 73
 
12.8%
스 37
 
6.5%
크 27
 
4.7%
린 25
 
4.4%
라 15
 
2.6%
연 14
 
2.4%
장 13
 
2.3%
습 13
 
2.3%
존 12
 
2.1%
Other values (126) 270
47.2%
Latin
ValueCountFrequency (%)
G 6
19.4%
S 4
12.9%
B 3
9.7%
R 2
 
6.5%
J 2
 
6.5%
D 2
 
6.5%
M 2
 
6.5%
N 1
 
3.2%
I 1
 
3.2%
P 1
 
3.2%
Other values (7) 7
22.6%
Common
ValueCountFrequency (%)
29
59.2%
) 7
 
14.3%
( 7
 
14.3%
. 3
 
6.1%
2 1
 
2.0%
9 1
 
2.0%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 572
87.7%
ASCII 80
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
골 73
 
12.8%
프 73
 
12.8%
스 37
 
6.5%
크 27
 
4.7%
린 25
 
4.4%
라 15
 
2.6%
연 14
 
2.4%
장 13
 
2.3%
습 13
 
2.3%
존 12
 
2.1%
Other values (126) 270
47.2%
ASCII
ValueCountFrequency (%)
29
36.2%
) 7
 
8.8%
( 7
 
8.8%
G 6
 
7.5%
S 4
 
5.0%
. 3
 
3.8%
B 3
 
3.8%
R 2
 
2.5%
J 2
 
2.5%
D 2
 
2.5%
Other values (14) 15
18.8%

시설주소(지번)
Text

Distinct76
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-01-29T02:15:29.402216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length26.45679
Min length16

Characters and Unicode

Total characters2143
Distinct characters137
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

Unique71 ?
Unique (%)87.7%

Sample

1st row인천광역시 서구 금곡동 242-23
2nd row인천광역시 서구 연희동 700-2
3rd row인천광역시 서구 심곡동 238-2
4th row인천광역시 서구 가좌동 178-83
5th row인천광역시 서구 백석동 85
ValueCountFrequency (%)
인천광역시 81
 
18.5%
서구 81
 
18.5%
청라동 18
 
4.1%
마전동 13
 
3.0%
가좌동 8
 
1.8%
석남동 7
 
1.6%
검암동 7
 
1.6%
3층 6
 
1.4%
당하동 5
 
1.1%
4층 5
 
1.1%
Other values (175) 206
47.1%
2024-01-29T02:15:29.766391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
19.8%
1 94
 
4.4%
구 89
 
4.2%
서 85
 
4.0%
인 83
 
3.9%
광 82
 
3.8%
천 82
 
3.8%
동 81
 
3.8%
역 81
 
3.8%
시 81
 
3.8%
Other values (127) 961
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1127
52.6%
Decimal Number 482
22.5%
Space Separator 424
 
19.8%
Dash Punctuation 73
 
3.4%
Uppercase Letter 11
 
0.5%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%
Other Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 89
 
7.9%
서 85
 
7.5%
인 83
 
7.4%
광 82
 
7.3%
천 82
 
7.3%
동 81
 
7.2%
역 81
 
7.2%
시 81
 
7.2%
라 37
 
3.3%
층 29
 
2.6%
Other values (107) 397
35.2%
Decimal Number
ValueCountFrequency (%)
1 94
19.5%
2 75
15.6%
0 60
12.4%
6 46
9.5%
7 41
8.5%
5 39
8.1%
3 35
 
7.3%
4 31
 
6.4%
8 31
 
6.4%
9 30
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
L 4
36.4%
B 3
27.3%
T 2
18.2%
O 1
 
9.1%
A 1
 
9.1%
Space Separator
ValueCountFrequency (%)
424
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1127
52.6%
Common 1005
46.9%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 89
 
7.9%
서 85
 
7.5%
인 83
 
7.4%
광 82
 
7.3%
천 82
 
7.3%
동 81
 
7.2%
역 81
 
7.2%
시 81
 
7.2%
라 37
 
3.3%
층 29
 
2.6%
Other values (107) 397
35.2%
Common
ValueCountFrequency (%)
424
42.2%
1 94
 
9.4%
2 75
 
7.5%
- 73
 
7.3%
0 60
 
6.0%
6 46
 
4.6%
7 41
 
4.1%
5 39
 
3.9%
3 35
 
3.5%
4 31
 
3.1%
Other values (5) 87
 
8.7%
Latin
ValueCountFrequency (%)
L 4
36.4%
B 3
27.3%
T 2
18.2%
O 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1127
52.6%
ASCII 1016
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
41.7%
1 94
 
9.3%
2 75
 
7.4%
- 73
 
7.2%
0 60
 
5.9%
6 46
 
4.5%
7 41
 
4.0%
5 39
 
3.8%
3 35
 
3.4%
4 31
 
3.1%
Other values (10) 98
 
9.6%
Hangul
ValueCountFrequency (%)
구 89
 
7.9%
서 85
 
7.5%
인 83
 
7.4%
광 82
 
7.3%
천 82
 
7.3%
동 81
 
7.2%
역 81
 
7.2%
시 81
 
7.2%
라 37
 
3.3%
층 29
 
2.6%
Other values (107) 397
35.2%

시설주소(도로명)
Text

Distinct80
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-01-29T02:15:30.023563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length34.333333
Min length22

Characters and Unicode

Total characters2781
Distinct characters171
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

Unique79 ?
Unique (%)97.5%

Sample

1st row인천광역시 서구 봉수대로 1548-6 (금곡동)
2nd row인천광역시 서구 심곡로 165 (연희동)
3rd row인천광역시 서구 대평로7번길 8 (심곡동)
4th row인천광역시 서구 봉수대로 118 (가좌동, 서서울골프클럽)
5th row인천광역시 서구 드림로209번길 69 (백석동)
ValueCountFrequency (%)
인천광역시 81
 
15.8%
서구 81
 
15.8%
마전동 13
 
2.5%
연희동 12
 
2.3%
3층 9
 
1.8%
4층 6
 
1.2%
승학로 6
 
1.2%
봉수대로 5
 
1.0%
경서동 5
 
1.0%
가좌동 5
 
1.0%
Other values (223) 291
56.6%
2024-01-29T02:15:30.491485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
 
16.0%
, 112
 
4.0%
서 93
 
3.3%
) 86
 
3.1%
로 86
 
3.1%
( 86
 
3.1%
천 84
 
3.0%
1 84
 
3.0%
인 84
 
3.0%
동 83
 
3.0%
Other values (161) 1538
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1519
54.6%
Decimal Number 516
 
18.6%
Space Separator 445
 
16.0%
Other Punctuation 112
 
4.0%
Close Punctuation 86
 
3.1%
Open Punctuation 86
 
3.1%
Dash Punctuation 10
 
0.4%
Math Symbol 6
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 93
 
6.1%
로 86
 
5.7%
천 84
 
5.5%
인 84
 
5.5%
동 83
 
5.5%
구 82
 
5.4%
광 82
 
5.4%
시 81
 
5.3%
역 81
 
5.3%
라 47
 
3.1%
Other values (144) 716
47.1%
Decimal Number
ValueCountFrequency (%)
1 84
16.3%
0 77
14.9%
2 68
13.2%
3 54
10.5%
6 50
9.7%
4 49
9.5%
5 43
8.3%
7 32
 
6.2%
9 30
 
5.8%
8 29
 
5.6%
Space Separator
ValueCountFrequency (%)
445
100.0%
Other Punctuation
ValueCountFrequency (%)
, 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1519
54.6%
Common 1261
45.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 93
 
6.1%
로 86
 
5.7%
천 84
 
5.5%
인 84
 
5.5%
동 83
 
5.5%
구 82
 
5.4%
광 82
 
5.4%
시 81
 
5.3%
역 81
 
5.3%
라 47
 
3.1%
Other values (144) 716
47.1%
Common
ValueCountFrequency (%)
445
35.3%
, 112
 
8.9%
) 86
 
6.8%
( 86
 
6.8%
1 84
 
6.7%
0 77
 
6.1%
2 68
 
5.4%
3 54
 
4.3%
6 50
 
4.0%
4 49
 
3.9%
Other values (6) 150
 
11.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1519
54.6%
ASCII 1262
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
35.3%
, 112
 
8.9%
) 86
 
6.8%
( 86
 
6.8%
1 84
 
6.7%
0 77
 
6.1%
2 68
 
5.4%
3 54
 
4.3%
6 50
 
4.0%
4 49
 
3.9%
Other values (7) 151
 
12.0%
Hangul
ValueCountFrequency (%)
서 93
 
6.1%
로 86
 
5.7%
천 84
 
5.5%
인 84
 
5.5%
동 83
 
5.5%
구 82
 
5.4%
광 82
 
5.4%
시 81
 
5.3%
역 81
 
5.3%
라 47
 
3.1%
Other values (144) 716
47.1%

전화번호
Text

MISSING 

Distinct55
Distinct (%)98.2%
Missing25
Missing (%)30.9%
Memory size780.0 B
2024-01-29T02:15:30.750182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.875
Min length7

Characters and Unicode

Total characters665
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

Unique54 ?
Unique (%)96.4%

Sample

1st row032-565-7979
2nd row032-561-8314
3rd row032-561-6446
4th row032-571-4141
5th row032-566-1177
ValueCountFrequency (%)
070-8640-6335 2
 
3.6%
032-569-2222 1
 
1.8%
032-565-7979 1
 
1.8%
032-569-2279 1
 
1.8%
032-569-8484 1
 
1.8%
032-773-9401 1
 
1.8%
032-567-0048 1
 
1.8%
032-568-0785 1
 
1.8%
032-572-0755 1
 
1.8%
032-561-8315 1
 
1.8%
Other values (45) 45
80.4%
2024-01-29T02:15:31.112461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 110
16.5%
0 104
15.6%
5 81
12.2%
2 79
11.9%
3 76
11.4%
6 64
9.6%
7 55
8.3%
8 30
 
4.5%
9 24
 
3.6%
1 24
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 555
83.5%
Dash Punctuation 110
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
18.7%
5 81
14.6%
2 79
14.2%
3 76
13.7%
6 64
11.5%
7 55
9.9%
8 30
 
5.4%
9 24
 
4.3%
1 24
 
4.3%
4 18
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 665
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 110
16.5%
0 104
15.6%
5 81
12.2%
2 79
11.9%
3 76
11.4%
6 64
9.6%
7 55
8.3%
8 30
 
4.5%
9 24
 
3.6%
1 24
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 110
16.5%
0 104
15.6%
5 81
12.2%
2 79
11.9%
3 76
11.4%
6 64
9.6%
7 55
8.3%
8 30
 
4.5%
9 24
 
3.6%
1 24
 
3.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-10-26
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-26
2nd row2023-10-26
3rd row2023-10-26
4th row2023-10-26
5th row2023-10-26

Common Values

ValueCountFrequency (%)
2023-10-26 81
100.0%

Length

2024-01-29T02:15:31.236012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:15:31.319274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-26 81
100.0%

Correlations

2024-01-29T02:15:31.374114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호시설주소(지번)시설주소(도로명)전화번호
상호1.0001.0001.0001.000
시설주소(지번)1.0001.0001.0000.995
시설주소(도로명)1.0001.0001.0000.997
전화번호1.0000.9950.9971.000

Missing values

2024-01-29T02:15:28.364649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T02:15:28.457463image/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

업종상호시설주소(지번)시설주소(도로명)전화번호데이터기준일자
0골프연습장업검단월드 골프클럽인천광역시 서구 금곡동 242-23인천광역시 서구 봉수대로 1548-6 (금곡동)032-565-79792023-10-26
1골프연습장업서광골프구랍부인천광역시 서구 연희동 700-2인천광역시 서구 심곡로 165 (연희동)032-561-83142023-10-26
2골프연습장업(주)눈뫼인천광역시 서구 심곡동 238-2인천광역시 서구 대평로7번길 8 (심곡동)032-561-64462023-10-26
3골프연습장업화미골프클럽(주)인천광역시 서구 가좌동 178-83인천광역시 서구 봉수대로 118 (가좌동, 서서울골프클럽)032-571-41412023-10-26
4골프연습장업백석블루힐골프클럽인천광역시 서구 백석동 85인천광역시 서구 드림로209번길 69 (백석동)032-566-11772023-10-26
5골프연습장업인천국제골프연습장인천광역시 서구 경서동 720-1인천광역시 서구 도요지로 37 (경서동)032-562-66662023-10-26
6골프연습장업검단골프랜드인천광역시 서구 당하동 958-1 외 6필지인천광역시 서구 청마로34번길 30 (당하동,외 6필지)032-567-00702023-10-26
7골프연습장업대성골프클럽인천광역시 서구 가좌동 153인천광역시 서구 건지로284번길 82 (가좌동)032-577-18022023-10-26
8골프연습장업진원 스포츠(주)인천광역시 서구 가좌동 148-59인천광역시 서구 건지로250번길 42 (가좌동)032-576-07072023-10-26
9골프연습장업SBS골프클리닉인천광역시 서구 검암동 600-6 검안1지구 21블럭 1롯트 효성프라자 4층인천광역시 서구 승학로 475 (검암동,검안1지구 21블럭 1롯트 효성프라자 4층)032-572-22082023-10-26
업종상호시설주소(지번)시설주소(도로명)전화번호데이터기준일자
71골프연습장업위너스크린골프존인천광역시 서구 청라동 158-1 진성프라자인천광역시 서구 청라커낼로260번길 11, 진성프라자 702~704호 (청라동)032-564-55502023-10-26
72골프연습장업청라진아골프존인천광역시 서구 청라동 141-12 오성타운인천광역시 서구 청라루비로144번길 6-9, 오성타운 1층 (청라동)<NA>2023-10-26
73골프연습장업쓰리엠에스지(SG)골프인천광역시 서구 가정동 619-7인천광역시 서구 염곡로464번길 15, 901,902,910,911호 (가정동)<NA>2023-10-26
74골프연습장업정골프피팅인천광역시 서구 석남동 223-85인천광역시 서구 봉수대로 268, 311,312호 (석남동)<NA>2023-10-26
75골프연습장업다온스크린골프연습장인천광역시 서구 석남동 223-85인천광역시 서구 봉수대로 268, 305~310호 (석남동)032-572-30102023-10-26
76골프연습장업김종국오픈스크린골프인천광역시 서구 가정동 616-3 화방주차타워인천광역시 서구 봉오재3로 115, 화방주차타워 501,503호 (가정동)032-565-07532023-10-26
77골프연습장업브라보골프인천광역시 서구 원창동 381-67인천광역시 서구 북항로32번안길 31, 6층 601~601-5호 (원창동)032-583-79002023-10-26
78골프연습장업엑시토 골프인천광역시 서구 당하동 1095-6인천광역시 서구 청마로167번길 12, 3층 (당하동)<NA>2023-10-26
79골프연습장업시티타워 스크린골프인천광역시 서구 청라동 96-1 706호인천광역시 서구 청라한내로 96, 하엘에스페이스 7층 706호 (청라동)<NA>2023-10-26
80골프연습장업청라앰골프연습장인천광역시 서구 원창동 381-72인천광역시 서구 북항로32번안길 36, 청라앰골프 (원창동)032-361-20292023-10-26