Overview

Dataset statistics

Number of variables6
Number of observations167
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory49.8 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description인천 광역시 서구 관내에 위치한 인터넷컴퓨터게임시설제공업 (상호, 소재지(도로,지번), 업종명) 에 관하여 현행화 데이터파일 입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089686/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:50:30.944730
Analysis finished2023-12-12 12:50:31.492303
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:50:31.558539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.3
Q142.5
median84
Q3125.5
95-th percentile158.7
Maximum167
Range166
Interquartile range (IQR)83

Descriptive statistics

Standard deviation48.35287
Coefficient of variation (CV)0.5756294
Kurtosis-1.2
Mean84
Median Absolute Deviation (MAD)42
Skewness0
Sum14028
Variance2338
MonotonicityStrictly increasing
2023-12-12T21:50:31.693317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
116 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (157) 157
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%

상호
Text

Distinct147
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T21:50:31.944787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.1257485
Min length2

Characters and Unicode

Total characters1023
Distinct characters212
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

Unique136 ?
Unique (%)81.4%

Sample

1st row벤큐PC방
2nd rowLuxury PC방
3rd row3POP (쓰리팝) PC CAFE
4th row클릭엔펀 PC방
5th row셀프넷PC방
ValueCountFrequency (%)
pc 21
 
9.8%
pc방 10
 
4.7%
골드pc 7
 
3.3%
cafe 5
 
2.3%
대박pc 3
 
1.4%
놀자pc 3
 
1.4%
짱pc 3
 
1.4%
카페 3
 
1.4%
세븐pc 3
 
1.4%
럭키 2
 
0.9%
Other values (145) 155
72.1%
2023-12-12T21:50:32.312831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 164
 
16.0%
C 162
 
15.8%
방 51
 
5.0%
48
 
4.7%
스 33
 
3.2%
점 16
 
1.6%
이 16
 
1.6%
리 15
 
1.5%
드 14
 
1.4%
라 12
 
1.2%
Other values (202) 492
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 542
53.0%
Uppercase Letter 375
36.7%
Space Separator 48
 
4.7%
Lowercase Letter 39
 
3.8%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%
Decimal Number 6
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 51
 
9.4%
스 33
 
6.1%
점 16
 
3.0%
이 16
 
3.0%
리 15
 
2.8%
드 14
 
2.6%
라 12
 
2.2%
아 11
 
2.0%
골 11
 
2.0%
인 9
 
1.7%
Other values (161) 354
65.3%
Uppercase Letter
ValueCountFrequency (%)
P 164
43.7%
C 162
43.2%
O 8
 
2.1%
A 6
 
1.6%
I 5
 
1.3%
V 4
 
1.1%
K 3
 
0.8%
R 3
 
0.8%
T 3
 
0.8%
S 3
 
0.8%
Other values (8) 14
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
c 5
12.8%
a 5
12.8%
f 3
7.7%
p 3
7.7%
r 3
7.7%
o 3
7.7%
k 2
 
5.1%
u 2
 
5.1%
y 1
 
2.6%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
3 3
50.0%
1 1
 
16.7%
4 1
 
16.7%
5 1
 
16.7%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
53.0%
Latin 414
40.5%
Common 67
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 51
 
9.4%
스 33
 
6.1%
점 16
 
3.0%
이 16
 
3.0%
리 15
 
2.8%
드 14
 
2.6%
라 12
 
2.2%
아 11
 
2.0%
골 11
 
2.0%
인 9
 
1.7%
Other values (161) 354
65.3%
Latin
ValueCountFrequency (%)
P 164
39.6%
C 162
39.1%
O 8
 
1.9%
e 7
 
1.7%
A 6
 
1.4%
I 5
 
1.2%
c 5
 
1.2%
a 5
 
1.2%
V 4
 
1.0%
f 3
 
0.7%
Other values (23) 45
 
10.9%
Common
ValueCountFrequency (%)
48
71.6%
( 6
 
9.0%
) 6
 
9.0%
3 3
 
4.5%
1 1
 
1.5%
4 1
 
1.5%
5 1
 
1.5%
- 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 542
53.0%
ASCII 481
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 164
34.1%
C 162
33.7%
48
 
10.0%
O 8
 
1.7%
e 7
 
1.5%
A 6
 
1.2%
( 6
 
1.2%
) 6
 
1.2%
I 5
 
1.0%
c 5
 
1.0%
Other values (31) 64
 
13.3%
Hangul
ValueCountFrequency (%)
방 51
 
9.4%
스 33
 
6.1%
점 16
 
3.0%
이 16
 
3.0%
리 15
 
2.8%
드 14
 
2.6%
라 12
 
2.2%
아 11
 
2.0%
골 11
 
2.0%
인 9
 
1.7%
Other values (161) 354
65.3%

소재지(도로명)
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T21:50:32.592310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length45
Mean length33.664671
Min length21

Characters and Unicode

Total characters5622
Distinct characters192
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 장고개로 268, 2층 (가좌동)
2nd row인천광역시 서구 간촌로 41, 2층 (연희동)
3rd row인천광역시 서구 장고개로337번길 18-3, 401, 402, 405호 (가좌동, 영프라자)
4th row인천광역시 서구 율도로 41, 2층 (신현동)
5th row인천광역시 서구 가정로126번길 25-1 (가좌동,2층)
ValueCountFrequency (%)
인천광역시 167
 
15.0%
서구 167
 
15.0%
석남동 36
 
3.2%
1층 34
 
3.0%
2층 27
 
2.4%
가정동 20
 
1.8%
심곡동 16
 
1.4%
왕길동 13
 
1.2%
마전동 12
 
1.1%
청라동 12
 
1.1%
Other values (352) 613
54.9%
2023-12-12T21:50:33.039531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
950
 
16.9%
1 276
 
4.9%
, 204
 
3.6%
서 177
 
3.1%
로 176
 
3.1%
동 174
 
3.1%
천 170
 
3.0%
광 169
 
3.0%
시 169
 
3.0%
인 168
 
3.0%
Other values (182) 2989
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3007
53.5%
Decimal Number 1085
 
19.3%
Space Separator 950
 
16.9%
Other Punctuation 204
 
3.6%
Open Punctuation 167
 
3.0%
Close Punctuation 167
 
3.0%
Dash Punctuation 27
 
0.5%
Math Symbol 8
 
0.1%
Uppercase Letter 6
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 177
 
5.9%
로 176
 
5.9%
동 174
 
5.8%
천 170
 
5.7%
광 169
 
5.6%
시 169
 
5.6%
인 168
 
5.6%
구 167
 
5.6%
역 167
 
5.6%
호 120
 
4.0%
Other values (161) 1350
44.9%
Decimal Number
ValueCountFrequency (%)
1 276
25.4%
2 166
15.3%
0 161
14.8%
4 112
10.3%
3 98
 
9.0%
8 63
 
5.8%
6 57
 
5.3%
5 56
 
5.2%
9 53
 
4.9%
7 43
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 1
 
16.7%
G 1
 
16.7%
J 1
 
16.7%
Space Separator
ValueCountFrequency (%)
950
100.0%
Other Punctuation
ValueCountFrequency (%)
, 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3007
53.5%
Common 2608
46.4%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 177
 
5.9%
로 176
 
5.9%
동 174
 
5.8%
천 170
 
5.7%
광 169
 
5.6%
시 169
 
5.6%
인 168
 
5.6%
구 167
 
5.6%
역 167
 
5.6%
호 120
 
4.0%
Other values (161) 1350
44.9%
Common
ValueCountFrequency (%)
950
36.4%
1 276
 
10.6%
, 204
 
7.8%
( 167
 
6.4%
) 167
 
6.4%
2 166
 
6.4%
0 161
 
6.2%
4 112
 
4.3%
3 98
 
3.8%
8 63
 
2.4%
Other values (6) 244
 
9.4%
Latin
ValueCountFrequency (%)
B 3
42.9%
A 1
 
14.3%
G 1
 
14.3%
J 1
 
14.3%
e 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3006
53.5%
ASCII 2615
46.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
950
36.3%
1 276
 
10.6%
, 204
 
7.8%
( 167
 
6.4%
) 167
 
6.4%
2 166
 
6.3%
0 161
 
6.2%
4 112
 
4.3%
3 98
 
3.7%
8 63
 
2.4%
Other values (11) 251
 
9.6%
Hangul
ValueCountFrequency (%)
서 177
 
5.9%
로 176
 
5.9%
동 174
 
5.8%
천 170
 
5.7%
광 169
 
5.6%
시 169
 
5.6%
인 168
 
5.6%
구 167
 
5.6%
역 167
 
5.6%
호 120
 
4.0%
Other values (160) 1349
44.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지(지번)
Text

Distinct163
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T21:50:33.383818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length23.443114
Min length17

Characters and Unicode

Total characters3915
Distinct characters163
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)95.2%

Sample

1st row인천광역시 서구 가좌동 326-5 2층
2nd row인천광역시 서구 연희동 699-7
3rd row인천광역시 서구 가좌동 30-132 영프라자 401호
4th row인천광역시 서구 신현동 140-67 2층
5th row인천광역시 서구 가좌동 142-46 2층
ValueCountFrequency (%)
인천광역시 167
21.0%
서구 167
21.0%
석남동 36
 
4.5%
가정동 21
 
2.6%
심곡동 17
 
2.1%
청라동 14
 
1.8%
왕길동 13
 
1.6%
마전동 12
 
1.5%
가좌동 11
 
1.4%
연희동 9
 
1.1%
Other values (264) 328
41.3%
2023-12-12T21:50:33.901045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
774
19.8%
1 178
 
4.5%
동 171
 
4.4%
서 170
 
4.3%
광 169
 
4.3%
시 169
 
4.3%
인 168
 
4.3%
역 167
 
4.3%
구 167
 
4.3%
천 167
 
4.3%
Other values (153) 1615
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2115
54.0%
Decimal Number 856
21.9%
Space Separator 774
 
19.8%
Dash Punctuation 157
 
4.0%
Other Punctuation 7
 
0.2%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 171
 
8.1%
서 170
 
8.0%
광 169
 
8.0%
시 169
 
8.0%
인 168
 
7.9%
역 167
 
7.9%
구 167
 
7.9%
천 167
 
7.9%
라 59
 
2.8%
가 38
 
1.8%
Other values (134) 670
31.7%
Decimal Number
ValueCountFrequency (%)
1 178
20.8%
2 111
13.0%
0 98
11.4%
5 96
11.2%
6 85
9.9%
4 72
8.4%
3 64
 
7.5%
7 56
 
6.5%
8 49
 
5.7%
9 47
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
G 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
774
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2115
54.0%
Common 1796
45.9%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 171
 
8.1%
서 170
 
8.0%
광 169
 
8.0%
시 169
 
8.0%
인 168
 
7.9%
역 167
 
7.9%
구 167
 
7.9%
천 167
 
7.9%
라 59
 
2.8%
가 38
 
1.8%
Other values (134) 670
31.7%
Common
ValueCountFrequency (%)
774
43.1%
1 178
 
9.9%
- 157
 
8.7%
2 111
 
6.2%
0 98
 
5.5%
5 96
 
5.3%
6 85
 
4.7%
4 72
 
4.0%
3 64
 
3.6%
7 56
 
3.1%
Other values (5) 105
 
5.8%
Latin
ValueCountFrequency (%)
e 1
25.0%
J 1
25.0%
G 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2114
54.0%
ASCII 1800
46.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
774
43.0%
1 178
 
9.9%
- 157
 
8.7%
2 111
 
6.2%
0 98
 
5.4%
5 96
 
5.3%
6 85
 
4.7%
4 72
 
4.0%
3 64
 
3.6%
7 56
 
3.1%
Other values (9) 109
 
6.1%
Hangul
ValueCountFrequency (%)
동 171
 
8.1%
서 170
 
8.0%
광 169
 
8.0%
시 169
 
8.0%
인 168
 
7.9%
역 167
 
7.9%
구 167
 
7.9%
천 167
 
7.9%
라 59
 
2.8%
가 38
 
1.8%
Other values (133) 669
31.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
인터넷컴퓨터게임시설제공업
167 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 167
100.0%

Length

2023-12-12T21:50:34.028973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:34.114559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 167
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2022-08-31
167 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-31
2nd row2022-08-31
3rd row2022-08-31
4th row2022-08-31
5th row2022-08-31

Common Values

ValueCountFrequency (%)
2022-08-31 167
100.0%

Length

2023-12-12T21:50:34.206183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:34.309881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-31 167
100.0%

Interactions

2023-12-12T21:50:31.238396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T21:50:31.358648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:50:31.454317image/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

연번상호소재지(도로명)소재지(지번)업종명데이터기준일자
01벤큐PC방인천광역시 서구 장고개로 268, 2층 (가좌동)인천광역시 서구 가좌동 326-5 2층인터넷컴퓨터게임시설제공업2022-08-31
12Luxury PC방인천광역시 서구 간촌로 41, 2층 (연희동)인천광역시 서구 연희동 699-7인터넷컴퓨터게임시설제공업2022-08-31
233POP (쓰리팝) PC CAFE인천광역시 서구 장고개로337번길 18-3, 401, 402, 405호 (가좌동, 영프라자)인천광역시 서구 가좌동 30-132 영프라자 401호인터넷컴퓨터게임시설제공업2022-08-31
34클릭엔펀 PC방인천광역시 서구 율도로 41, 2층 (신현동)인천광역시 서구 신현동 140-67 2층인터넷컴퓨터게임시설제공업2022-08-31
45셀프넷PC방인천광역시 서구 가정로126번길 25-1 (가좌동,2층)인천광역시 서구 가좌동 142-46 2층인터넷컴퓨터게임시설제공업2022-08-31
56제이스톤 PC방인천광역시 서구 승학로 587 (검암동,로얄프라자 201,202호)인천광역시 서구 검암동 510-5 로얄프라자 201,202호인터넷컴퓨터게임시설제공업2022-08-31
67살구PC방인천광역시 서구 고산후로95번안길 21 (당하동, 멀티프라자 404호)인천광역시 서구 당하동 1030-1 멀티프라자 404호인터넷컴퓨터게임시설제공업2022-08-31
78팬텀PC방인천광역시 서구 염곡로 364, 2,3층 (신현동, 한강석빌딩)인천광역시 서구 신현동 278-8 2,3층인터넷컴퓨터게임시설제공업2022-08-31
89헌터PC인천광역시 서구 검단로459번길 10 (왕길동, 왕길프라자403,404호)인천광역시 서구 왕길동 640-1인터넷컴퓨터게임시설제공업2022-08-31
910N-Top PC인천광역시 서구 원창로 215 (가정동,3층)인천광역시 서구 가정동 505-4 3층인터넷컴퓨터게임시설제공업2022-08-31
연번상호소재지(도로명)소재지(지번)업종명데이터기준일자
157158대박PC방인천광역시 서구 연희로 21 (연희동)인천광역시 서구 연희동 740-6인터넷컴퓨터게임시설제공업2022-08-31
158159루원PC인천광역시 서구 봉오재3로110번길 7, 가정봄프라자 1층 116호 (가정동)인천광역시 서구 가정동 617-3 가정봄프라자인터넷컴퓨터게임시설제공업2022-08-31
159160현제PC인천광역시 서구 중봉대로612번길 10-20, 청라프라자 1동 A101호 (청라동)인천광역시 서구 청라동 162-7 청라프라자인터넷컴퓨터게임시설제공업2022-08-31
160161대박PC인천광역시 서구 백범로630번길 16, GJ가좌타워 지식산업센터 130호 (가좌동)인천광역시 서구 가좌동 482-1 GJ가좌타워 지식산업센터인터넷컴퓨터게임시설제공업2022-08-31
161162오성PC인천광역시 서구 칠천왕로 9, 104호 (석남동)인천광역시 서구 석남동 517-3인터넷컴퓨터게임시설제공업2022-08-31
162163싹쓰리PC인천광역시 서구 청라커낼로 264, 청라두손중앙프라자 1층 119호 (청라동)인천광역시 서구 청라동 157-14 청라두손중앙프라자인터넷컴퓨터게임시설제공업2022-08-31
163164VIP PC방인천광역시 서구 보듬7로 17, 101호 (오류동)인천광역시 서구 오류동 1658-9 101호인터넷컴퓨터게임시설제공업2022-08-31
164165골드PC인천광역시 서구 경중로 20, 청라로데오시티포레안 223호 (경서동)인천광역시 서구 경서동 0 청라로데오시티포레안인터넷컴퓨터게임시설제공업2022-08-31
165166메가게임랜드인천광역시 서구 완정로 146, 1층 102호 (마전동, 리더스빌)인천광역시 서구 마전동 982-4 리더스빌 102호인터넷컴퓨터게임시설제공업2022-08-31
166167천지PC방인천광역시 서구 검단로502번길 18, 1층 109호 (마전동, 제일빌딩)인천광역시 서구 마전동 982-5 제일빌딩 1동 109호인터넷컴퓨터게임시설제공업2022-08-31