Overview

Dataset statistics

Number of variables6
Number of observations218
Missing cells125
Missing cells (%)9.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory48.6 B

Variable types

Categorical2
Text4

Dataset

Description인천광역시 서구 관내에 위치한 당구장업 (업종, 상호, 시설주소(지번, 도로명 주소), 전화번호) 현행화 데이터 입니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15089479

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 124 (56.9%) missing valuesMissing

Reproduction

Analysis started2024-01-28 16:16:54.490924
Analysis finished2024-01-28 16:16:55.082033
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
당구장업
218 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 218
100.0%

Length

2024-01-29T01:16:55.131472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:16:55.202791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 218
100.0%

상호
Text

Distinct200
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-29T01:16:55.372447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length6.3073394
Min length3

Characters and Unicode

Total characters1375
Distinct characters228
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)86.7%

Sample

1st row유진당구장
2nd rowo.k당구장
3rd row경인당구장
4th row신명당구장
5th row보성당구장
ValueCountFrequency (%)
당구클럽 42
 
13.6%
당구장 36
 
11.7%
sbs당구장 6
 
1.9%
한게임 3
 
1.0%
원당구장 3
 
1.0%
sbs당구클럽 3
 
1.0%
매니아 3
 
1.0%
국제당구장 2
 
0.6%
sbs 2
 
0.6%
그린당구장 2
 
0.6%
Other values (200) 206
66.9%
2024-01-29T01:16:55.679929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 207
15.1%
당 206
15.0%
장 120
 
8.7%
90
 
6.5%
클 85
 
6.2%
럽 85
 
6.2%
S 31
 
2.3%
B 21
 
1.5%
스 19
 
1.4%
이 16
 
1.2%
Other values (218) 495
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1139
82.8%
Uppercase Letter 115
 
8.4%
Space Separator 90
 
6.5%
Lowercase Letter 17
 
1.2%
Decimal Number 6
 
0.4%
Other Punctuation 5
 
0.4%
Math Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 207
18.2%
당 206
18.1%
장 120
 
10.5%
클 85
 
7.5%
럽 85
 
7.5%
스 19
 
1.7%
이 16
 
1.4%
리 16
 
1.4%
아 15
 
1.3%
제 10
 
0.9%
Other values (176) 360
31.6%
Uppercase Letter
ValueCountFrequency (%)
S 31
27.0%
B 21
18.3%
K 9
 
7.8%
C 8
 
7.0%
O 7
 
6.1%
T 6
 
5.2%
I 5
 
4.3%
N 5
 
4.3%
J 4
 
3.5%
P 3
 
2.6%
Other values (9) 16
13.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
11.8%
l 2
11.8%
c 2
11.8%
e 2
11.8%
f 1
 
5.9%
s 1
 
5.9%
d 1
 
5.9%
r 1
 
5.9%
i 1
 
5.9%
h 1
 
5.9%
Other values (3) 3
17.6%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
6 1
16.7%
8 1
16.7%
7 1
16.7%
2 1
16.7%
Space Separator
ValueCountFrequency (%)
90
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Math Symbol
ValueCountFrequency (%)
＋ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1138
82.8%
Latin 132
 
9.6%
Common 104
 
7.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 207
18.2%
당 206
18.1%
장 120
 
10.5%
클 85
 
7.5%
럽 85
 
7.5%
스 19
 
1.7%
이 16
 
1.4%
리 16
 
1.4%
아 15
 
1.3%
제 10
 
0.9%
Other values (175) 359
31.5%
Latin
ValueCountFrequency (%)
S 31
23.5%
B 21
15.9%
K 9
 
6.8%
C 8
 
6.1%
O 7
 
5.3%
T 6
 
4.5%
I 5
 
3.8%
N 5
 
3.8%
J 4
 
3.0%
P 3
 
2.3%
Other values (22) 33
25.0%
Common
ValueCountFrequency (%)
90
86.5%
. 5
 
4.8%
1 2
 
1.9%
＋ 1
 
1.0%
6 1
 
1.0%
8 1
 
1.0%
) 1
 
1.0%
( 1
 
1.0%
7 1
 
1.0%
2 1
 
1.0%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1138
82.8%
ASCII 235
 
17.1%
None 1
 
0.1%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 207
18.2%
당 206
18.1%
장 120
 
10.5%
클 85
 
7.5%
럽 85
 
7.5%
스 19
 
1.7%
이 16
 
1.4%
리 16
 
1.4%
아 15
 
1.3%
제 10
 
0.9%
Other values (175) 359
31.5%
ASCII
ValueCountFrequency (%)
90
38.3%
S 31
 
13.2%
B 21
 
8.9%
K 9
 
3.8%
C 8
 
3.4%
O 7
 
3.0%
T 6
 
2.6%
I 5
 
2.1%
. 5
 
2.1%
N 5
 
2.1%
Other values (31) 48
20.4%
None
ValueCountFrequency (%)
＋ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

시설주소(지번)
Text

Distinct215
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-29T01:16:55.945732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length41
Mean length23.972477
Min length17

Characters and Unicode

Total characters5226
Distinct characters158
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

Unique212 ?
Unique (%)97.2%

Sample

1st row인천광역시 서구 가좌동 157-18
2nd row인천광역시 서구 석남동 576-49
3rd row인천광역시 서구 석남동 179-109
4th row인천광역시 서구 가좌동 139-10
5th row인천광역시 서구 가정동 511
ValueCountFrequency (%)
인천광역시 218
20.2%
서구 218
20.2%
석남동 47
 
4.4%
가좌동 43
 
4.0%
2층 31
 
2.9%
3층 23
 
2.1%
심곡동 22
 
2.0%
가정동 17
 
1.6%
마전동 16
 
1.5%
청라동 15
 
1.4%
Other values (338) 429
39.8%
2024-01-29T01:16:56.337349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1060
20.3%
1 231
 
4.4%
구 225
 
4.3%
동 221
 
4.2%
인 220
 
4.2%
서 220
 
4.2%
시 219
 
4.2%
천 219
 
4.2%
광 218
 
4.2%
역 218
 
4.2%
Other values (148) 2175
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2658
50.9%
Decimal Number 1253
24.0%
Space Separator 1060
 
20.3%
Dash Punctuation 200
 
3.8%
Other Punctuation 21
 
0.4%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%
Uppercase Letter 4
 
0.1%
Math Symbol 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 225
 
8.5%
동 221
 
8.3%
인 220
 
8.3%
서 220
 
8.3%
시 219
 
8.2%
천 219
 
8.2%
광 218
 
8.2%
역 218
 
8.2%
층 76
 
2.9%
가 61
 
2.3%
Other values (125) 761
28.6%
Decimal Number
ValueCountFrequency (%)
1 231
18.4%
2 191
15.2%
3 156
12.5%
0 135
10.8%
5 118
9.4%
4 108
8.6%
6 96
7.7%
7 78
 
6.2%
8 77
 
6.1%
9 63
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
K 1
25.0%
P 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
r 1
33.3%
k 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 20
95.2%
. 1
 
4.8%
Space Separator
ValueCountFrequency (%)
1060
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2658
50.9%
Common 2561
49.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 225
 
8.5%
동 221
 
8.3%
인 220
 
8.3%
서 220
 
8.3%
시 219
 
8.2%
천 219
 
8.2%
광 218
 
8.2%
역 218
 
8.2%
층 76
 
2.9%
가 61
 
2.3%
Other values (125) 761
28.6%
Common
ValueCountFrequency (%)
1060
41.4%
1 231
 
9.0%
- 200
 
7.8%
2 191
 
7.5%
3 156
 
6.1%
0 135
 
5.3%
5 118
 
4.6%
4 108
 
4.2%
6 96
 
3.7%
7 78
 
3.0%
Other values (7) 188
 
7.3%
Latin
ValueCountFrequency (%)
M 2
28.6%
K 1
14.3%
P 1
14.3%
a 1
14.3%
r 1
14.3%
k 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2658
50.9%
ASCII 2568
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1060
41.3%
1 231
 
9.0%
- 200
 
7.8%
2 191
 
7.4%
3 156
 
6.1%
0 135
 
5.3%
5 118
 
4.6%
4 108
 
4.2%
6 96
 
3.7%
7 78
 
3.0%
Other values (13) 195
 
7.6%
Hangul
ValueCountFrequency (%)
구 225
 
8.5%
동 221
 
8.3%
인 220
 
8.3%
서 220
 
8.3%
시 219
 
8.2%
천 219
 
8.2%
광 218
 
8.2%
역 218
 
8.2%
층 76
 
2.9%
가 61
 
2.3%
Other values (125) 761
28.6%

시설주소(도로명)
Text

Distinct215
Distinct (%)99.1%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-01-29T01:16:56.558464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length30.682028
Min length21

Characters and Unicode

Total characters6658
Distinct characters211
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

Unique213 ?
Unique (%)98.2%

Sample

1st row인천광역시 서구 가정로78번길 31 (가좌동)
2nd row인천광역시 서구 거북로 98-1 (석남동)
3rd row인천광역시 서구 염곡로 321 (석남동, 상일빌딩)
4th row인천광역시 서구 가정로 127-1 (가좌동)
5th row인천광역시 서구 원창로 240 (가정동)
ValueCountFrequency (%)
인천광역시 217
 
16.7%
서구 217
 
16.7%
석남동 37
 
2.8%
2층 32
 
2.5%
가좌동 28
 
2.1%
가정로 26
 
2.0%
3층 22
 
1.7%
마전동 16
 
1.2%
연희동 15
 
1.2%
가정동 14
 
1.1%
Other values (431) 679
52.1%
2024-01-29T01:16:56.895374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1146
 
17.2%
, 234
 
3.5%
서 234
 
3.5%
) 228
 
3.4%
( 228
 
3.4%
동 225
 
3.4%
로 222
 
3.3%
인 220
 
3.3%
천 218
 
3.3%
시 218
 
3.3%
Other values (201) 3485
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3662
55.0%
Space Separator 1146
 
17.2%
Decimal Number 1115
 
16.7%
Other Punctuation 235
 
3.5%
Close Punctuation 228
 
3.4%
Open Punctuation 228
 
3.4%
Dash Punctuation 31
 
0.5%
Math Symbol 5
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 234
 
6.4%
동 225
 
6.1%
로 222
 
6.1%
인 220
 
6.0%
천 218
 
6.0%
시 218
 
6.0%
구 218
 
6.0%
광 218
 
6.0%
역 217
 
5.9%
층 113
 
3.1%
Other values (177) 1559
42.6%
Decimal Number
ValueCountFrequency (%)
2 196
17.6%
1 183
16.4%
3 149
13.4%
0 130
11.7%
4 105
9.4%
5 84
7.5%
7 77
 
6.9%
8 69
 
6.2%
6 65
 
5.8%
9 57
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
40.0%
B 1
20.0%
K 1
20.0%
P 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
r 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 234
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3662
55.0%
Common 2988
44.9%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 234
 
6.4%
동 225
 
6.1%
로 222
 
6.1%
인 220
 
6.0%
천 218
 
6.0%
시 218
 
6.0%
구 218
 
6.0%
광 218
 
6.0%
역 217
 
5.9%
층 113
 
3.1%
Other values (177) 1559
42.6%
Common
ValueCountFrequency (%)
1146
38.4%
, 234
 
7.8%
) 228
 
7.6%
( 228
 
7.6%
2 196
 
6.6%
1 183
 
6.1%
3 149
 
5.0%
0 130
 
4.4%
4 105
 
3.5%
5 84
 
2.8%
Other values (7) 305
 
10.2%
Latin
ValueCountFrequency (%)
M 2
25.0%
B 1
12.5%
K 1
12.5%
k 1
12.5%
r 1
12.5%
a 1
12.5%
P 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3662
55.0%
ASCII 2996
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1146
38.3%
, 234
 
7.8%
) 228
 
7.6%
( 228
 
7.6%
2 196
 
6.5%
1 183
 
6.1%
3 149
 
5.0%
0 130
 
4.3%
4 105
 
3.5%
5 84
 
2.8%
Other values (14) 313
 
10.4%
Hangul
ValueCountFrequency (%)
서 234
 
6.4%
동 225
 
6.1%
로 222
 
6.1%
인 220
 
6.0%
천 218
 
6.0%
시 218
 
6.0%
구 218
 
6.0%
광 218
 
6.0%
역 217
 
5.9%
층 113
 
3.1%
Other values (177) 1559
42.6%

전화번호
Text

MISSING 

Distinct94
Distinct (%)100.0%
Missing124
Missing (%)56.9%
Memory size1.8 KiB
2024-01-29T01:16:57.106786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010638
Min length12

Characters and Unicode

Total characters1129
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

Unique94 ?
Unique (%)100.0%

Sample

1st row032-576-3693
2nd row032-573-7966
3rd row032-572-9509
4th row032-575-7193
5th row032-572-0005
ValueCountFrequency (%)
032-582-0840 1
 
1.1%
032-579-9685 1
 
1.1%
032-568-1587 1
 
1.1%
032-582-4939 1
 
1.1%
032-572-9331 1
 
1.1%
032-569-0995 1
 
1.1%
032-568-1235 1
 
1.1%
032-818-7749 1
 
1.1%
032-577-0599 1
 
1.1%
032-564-4772 1
 
1.1%
Other values (84) 84
89.4%
2024-01-29T01:16:57.392275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 188
16.7%
5 144
12.8%
2 143
12.7%
3 141
12.5%
0 131
11.6%
7 91
8.1%
6 73
 
6.5%
9 67
 
5.9%
8 56
 
5.0%
1 55
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 941
83.3%
Dash Punctuation 188
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 144
15.3%
2 143
15.2%
3 141
15.0%
0 131
13.9%
7 91
9.7%
6 73
7.8%
9 67
7.1%
8 56
 
6.0%
1 55
 
5.8%
4 40
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1129
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 188
16.7%
5 144
12.8%
2 143
12.7%
3 141
12.5%
0 131
11.6%
7 91
8.1%
6 73
 
6.5%
9 67
 
5.9%
8 56
 
5.0%
1 55
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 188
16.7%
5 144
12.8%
2 143
12.7%
3 141
12.5%
0 131
11.6%
7 91
8.1%
6 73
 
6.5%
9 67
 
5.9%
8 56
 
5.0%
1 55
 
4.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022-09-02
218 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-02
2nd row2022-09-02
3rd row2022-09-02
4th row2022-09-02
5th row2022-09-02

Common Values

ValueCountFrequency (%)
2022-09-02 218
100.0%

Length

2024-01-29T01:16:57.496778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:16:57.572839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-02 218
100.0%

Missing values

2024-01-29T01:16:54.859675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:16:54.954624image/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.
2024-01-29T01:16:55.039213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종상호시설주소(지번)시설주소(도로명)전화번호데이터기준일자
0당구장업유진당구장인천광역시 서구 가좌동 157-18인천광역시 서구 가정로78번길 31 (가좌동)032-576-36932022-09-02
1당구장업o.k당구장인천광역시 서구 석남동 576-49인천광역시 서구 거북로 98-1 (석남동)032-573-79662022-09-02
2당구장업경인당구장인천광역시 서구 석남동 179-109인천광역시 서구 염곡로 321 (석남동, 상일빌딩)032-572-95092022-09-02
3당구장업신명당구장인천광역시 서구 가좌동 139-10인천광역시 서구 가정로 127-1 (가좌동)032-575-71932022-09-02
4당구장업보성당구장인천광역시 서구 가정동 511인천광역시 서구 원창로 240 (가정동)032-572-00052022-09-02
5당구장업약수당구장인천광역시 서구 석남동 472-4인천광역시 서구 서달로137번길 10 (석남동)032-576-44952022-09-02
6당구장업석남당구클럽인천광역시 서구 석남동 583-47인천광역시 서구 거북로 88 (석남동)032-581-32082022-09-02
7당구장업SJ당구클럽인천광역시 서구 석남동 579-8인천광역시 서구 가정로 168 (석남동)032-573-77702022-09-02
8당구장업은혜당구장인천광역시 서구 가좌동 260-4인천광역시 서구 원적로47번길 5 (가좌동)032-575-23222022-09-02
9당구장업가좌Q당구장인천광역시 서구 가좌동 192-86인천광역시 서구 가석로156번길 20 (가좌동)032-549-25382022-09-02
업종상호시설주소(지번)시설주소(도로명)전화번호데이터기준일자
208당구장업빌스퀘어 당구클럽인천광역시 서구 청라동 157-21 청라한신더휴커낼웨이인천광역시 서구 청라커낼로260번길 27, 청라한신더휴커낼웨이 B123~126호 (청라동)<NA>2022-09-02
209당구장업도깨비 당구클럽인천광역시 서구 석남동 477-10 한송빌딩 3층호인천광역시 서구 신석로 81, 한송빌딩 3층호 (석남동)<NA>2022-09-02
210당구장업BMW 당구클럽인천광역시 서구 경서동 723-5인천광역시 서구 도요지로 25, 다원빌딩 2층 201호 (경서동)031-981-47262022-09-02
211당구장업챔스리그인천광역시 서구 가정동 617-4 엔시티타워인천광역시 서구 염곡로464번길 23, 엔시티타워 303,304호 (가정동)032-581-21222022-09-02
212당구장업준당구장인천광역시 서구 심곡동 338-1인천광역시 서구 심곡로 24, 2층 (심곡동)<NA>2022-09-02
213당구장업OK당구클럽인천광역시 서구 가좌동 139-32인천광역시 서구 가정로125번길 14, 2층 (가좌동)<NA>2022-09-02
214당구장업타이당구장인천광역시 서구 석남동 588-24인천광역시 서구 석남로 69, 지하1층 (석남동)<NA>2022-09-02
215당구장업대원 당구 클럽인천광역시 서구 가좌동 263-26인천광역시 서구 원적로27번길 37-2, 지하1층 (가좌동)<NA>2022-09-02
216당구장업G16 대대전용당구장인천광역시 서구 심곡동 245-5 심곡네오프라자인천광역시 서구 탁옥로51번길 11, 심곡네오프라자 701,702,703호 (심곡동)<NA>2022-09-02
217당구장업황제 당구클럽인천광역시 서구 가좌동 139-10 신명상가인천광역시 서구 가정로 127-1, 신명상가 3층 (가좌동)032-575-35882022-09-02