Overview

Dataset statistics

Number of variables6
Number of observations240
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description인천광역시 서구관내에 위치한 게임제공업소 현황(상호, 소재지(도로명,지번), 업종명)등을 담은 데이터 파일입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15039523/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:26:37.676636
Analysis finished2023-12-11 23:26:38.250111
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.5
Minimum1
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T08:26:38.319934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.95
Q160.75
median120.5
Q3180.25
95-th percentile228.05
Maximum240
Range239
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation69.42622
Coefficient of variation (CV)0.5761512
Kurtosis-1.2
Mean120.5
Median Absolute Deviation (MAD)60
Skewness0
Sum28920
Variance4820
MonotonicityStrictly increasing
2023-12-12T08:26:38.441283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
122 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
Other values (230) 230
95.8%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%

상호
Text

Distinct213
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T08:26:38.775374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.0541667
Min length2

Characters and Unicode

Total characters1453
Distinct characters257
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

Unique196 ?
Unique (%)81.7%

Sample

1st row벤큐PC방
2nd rowLuxury PC방
3rd row3POP (쓰리팝) PC CAFE
4th row클릭엔펀 PC방
5th row셀프넷PC방
ValueCountFrequency (%)
pc 21
 
6.9%
pc방 10
 
3.3%
골드pc 7
 
2.3%
게임랜드 6
 
2.0%
cafe 5
 
1.6%
인형뽑기 4
 
1.3%
짱pc 3
 
1.0%
카페 3
 
1.0%
세븐pc 3
 
1.0%
대박pc 3
 
1.0%
Other values (221) 240
78.7%
2023-12-12T08:26:39.166862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 168
 
11.6%
C 165
 
11.4%
65
 
4.5%
57
 
3.9%
45
 
3.1%
42
 
2.9%
32
 
2.2%
32
 
2.2%
29
 
2.0%
27
 
1.9%
Other values (247) 791
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 930
64.0%
Uppercase Letter 394
27.1%
Space Separator 65
 
4.5%
Lowercase Letter 39
 
2.7%
Close Punctuation 8
 
0.6%
Open Punctuation 8
 
0.6%
Decimal Number 7
 
0.5%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
6.1%
45
 
4.8%
42
 
4.5%
32
 
3.4%
32
 
3.4%
29
 
3.1%
27
 
2.9%
24
 
2.6%
23
 
2.5%
22
 
2.4%
Other values (204) 597
64.2%
Uppercase Letter
ValueCountFrequency (%)
P 168
42.6%
C 165
41.9%
A 9
 
2.3%
O 9
 
2.3%
I 5
 
1.3%
K 4
 
1.0%
R 4
 
1.0%
G 4
 
1.0%
V 4
 
1.0%
N 3
 
0.8%
Other values (9) 19
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
c 5
12.8%
a 5
12.8%
f 3
7.7%
r 3
7.7%
p 3
7.7%
o 3
7.7%
k 2
 
5.1%
u 2
 
5.1%
h 1
 
2.6%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
1 2
28.6%
5 1
 
14.3%
4 1
 
14.3%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 930
64.0%
Latin 433
29.8%
Common 90
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
6.1%
45
 
4.8%
42
 
4.5%
32
 
3.4%
32
 
3.4%
29
 
3.1%
27
 
2.9%
24
 
2.6%
23
 
2.5%
22
 
2.4%
Other values (204) 597
64.2%
Latin
ValueCountFrequency (%)
P 168
38.8%
C 165
38.1%
A 9
 
2.1%
O 9
 
2.1%
e 7
 
1.6%
I 5
 
1.2%
c 5
 
1.2%
a 5
 
1.2%
K 4
 
0.9%
R 4
 
0.9%
Other values (24) 52
 
12.0%
Common
ValueCountFrequency (%)
65
72.2%
) 8
 
8.9%
( 8
 
8.9%
3 3
 
3.3%
1 2
 
2.2%
# 1
 
1.1%
5 1
 
1.1%
4 1
 
1.1%
- 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 930
64.0%
ASCII 523
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 168
32.1%
C 165
31.5%
65
 
12.4%
A 9
 
1.7%
O 9
 
1.7%
) 8
 
1.5%
( 8
 
1.5%
e 7
 
1.3%
I 5
 
1.0%
c 5
 
1.0%
Other values (33) 74
14.1%
Hangul
ValueCountFrequency (%)
57
 
6.1%
45
 
4.8%
42
 
4.5%
32
 
3.4%
32
 
3.4%
29
 
3.1%
27
 
2.9%
24
 
2.6%
23
 
2.5%
22
 
2.4%
Other values (204) 597
64.2%
Distinct239
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T08:26:39.442258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length45
Mean length33.6625
Min length21

Characters and Unicode

Total characters8079
Distinct characters219
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

Unique238 ?
Unique (%)99.2%

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 240
 
14.9%
서구 240
 
14.9%
석남동 62
 
3.9%
1층 50
 
3.1%
2층 35
 
2.2%
가정동 25
 
1.6%
청라동 22
 
1.4%
심곡동 19
 
1.2%
마전동 19
 
1.2%
완정로 19
 
1.2%
Other values (442) 876
54.5%
2023-12-12T08:26:39.860317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1367
 
16.9%
1 413
 
5.1%
, 293
 
3.6%
253
 
3.1%
252
 
3.1%
249
 
3.1%
248
 
3.1%
244
 
3.0%
243
 
3.0%
243
 
3.0%
Other values (209) 4274
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4324
53.5%
Decimal Number 1546
 
19.1%
Space Separator 1367
 
16.9%
Other Punctuation 293
 
3.6%
Close Punctuation 240
 
3.0%
Open Punctuation 240
 
3.0%
Dash Punctuation 45
 
0.6%
Uppercase Letter 13
 
0.2%
Math Symbol 10
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
253
 
5.9%
252
 
5.8%
249
 
5.8%
248
 
5.7%
244
 
5.6%
243
 
5.6%
243
 
5.6%
240
 
5.6%
240
 
5.6%
167
 
3.9%
Other values (188) 1945
45.0%
Decimal Number
ValueCountFrequency (%)
1 413
26.7%
2 235
15.2%
0 218
14.1%
4 141
 
9.1%
3 137
 
8.9%
8 88
 
5.7%
6 87
 
5.6%
5 83
 
5.4%
7 73
 
4.7%
9 71
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
61.5%
A 3
 
23.1%
G 1
 
7.7%
J 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1367
100.0%
Other Punctuation
ValueCountFrequency (%)
, 293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4324
53.5%
Common 3741
46.3%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
253
 
5.9%
252
 
5.8%
249
 
5.8%
248
 
5.7%
244
 
5.6%
243
 
5.6%
243
 
5.6%
240
 
5.6%
240
 
5.6%
167
 
3.9%
Other values (188) 1945
45.0%
Common
ValueCountFrequency (%)
1367
36.5%
1 413
 
11.0%
, 293
 
7.8%
) 240
 
6.4%
( 240
 
6.4%
2 235
 
6.3%
0 218
 
5.8%
4 141
 
3.8%
3 137
 
3.7%
8 88
 
2.4%
Other values (6) 369
 
9.9%
Latin
ValueCountFrequency (%)
B 8
57.1%
A 3
 
21.4%
G 1
 
7.1%
J 1
 
7.1%
e 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4323
53.5%
ASCII 3755
46.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1367
36.4%
1 413
 
11.0%
, 293
 
7.8%
) 240
 
6.4%
( 240
 
6.4%
2 235
 
6.3%
0 218
 
5.8%
4 141
 
3.8%
3 137
 
3.6%
8 88
 
2.3%
Other values (11) 383
 
10.2%
Hangul
ValueCountFrequency (%)
253
 
5.9%
252
 
5.8%
249
 
5.8%
248
 
5.7%
244
 
5.6%
243
 
5.6%
243
 
5.6%
240
 
5.6%
240
 
5.6%
167
 
3.9%
Other values (187) 1944
45.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct225
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T08:26:40.104066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length23.4625
Min length17

Characters and Unicode

Total characters5631
Distinct characters192
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

Unique212 ?
Unique (%)88.3%

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 240
20.9%
서구 240
20.9%
석남동 62
 
5.4%
가정동 26
 
2.3%
청라동 25
 
2.2%
심곡동 20
 
1.7%
마전동 19
 
1.7%
1층 16
 
1.4%
왕길동 15
 
1.3%
가좌동 15
 
1.3%
Other values (341) 471
41.0%
2023-12-12T08:26:40.478050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1119
19.9%
1 260
 
4.6%
247
 
4.4%
243
 
4.3%
243
 
4.3%
243
 
4.3%
243
 
4.3%
242
 
4.3%
240
 
4.3%
240
 
4.3%
Other values (182) 2311
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3048
54.1%
Decimal Number 1222
21.7%
Space Separator 1119
 
19.9%
Dash Punctuation 225
 
4.0%
Other Punctuation 7
 
0.1%
Uppercase Letter 4
 
0.1%
Lowercase Letter 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
247
 
8.1%
243
 
8.0%
243
 
8.0%
243
 
8.0%
243
 
8.0%
242
 
7.9%
240
 
7.9%
240
 
7.9%
88
 
2.9%
63
 
2.1%
Other values (159) 956
31.4%
Decimal Number
ValueCountFrequency (%)
1 260
21.3%
2 153
12.5%
5 145
11.9%
0 125
10.2%
6 119
9.7%
3 98
 
8.0%
4 97
 
7.9%
7 91
 
7.4%
8 68
 
5.6%
9 66
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
J 1
25.0%
A 1
25.0%
B 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
p 1
25.0%
n 1
25.0%
k 1
25.0%
Space Separator
ValueCountFrequency (%)
1119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3048
54.1%
Common 2575
45.7%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
247
 
8.1%
243
 
8.0%
243
 
8.0%
243
 
8.0%
243
 
8.0%
242
 
7.9%
240
 
7.9%
240
 
7.9%
88
 
2.9%
63
 
2.1%
Other values (159) 956
31.4%
Common
ValueCountFrequency (%)
1119
43.5%
1 260
 
10.1%
- 225
 
8.7%
2 153
 
5.9%
5 145
 
5.6%
0 125
 
4.9%
6 119
 
4.6%
3 98
 
3.8%
4 97
 
3.8%
7 91
 
3.5%
Other values (5) 143
 
5.6%
Latin
ValueCountFrequency (%)
G 1
12.5%
J 1
12.5%
e 1
12.5%
A 1
12.5%
p 1
12.5%
n 1
12.5%
k 1
12.5%
B 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3047
54.1%
ASCII 2583
45.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1119
43.3%
1 260
 
10.1%
- 225
 
8.7%
2 153
 
5.9%
5 145
 
5.6%
0 125
 
4.8%
6 119
 
4.6%
3 98
 
3.8%
4 97
 
3.8%
7 91
 
3.5%
Other values (13) 151
 
5.8%
Hangul
ValueCountFrequency (%)
247
 
8.1%
243
 
8.0%
243
 
8.0%
243
 
8.0%
243
 
8.0%
242
 
7.9%
240
 
7.9%
240
 
7.9%
88
 
2.9%
63
 
2.1%
Other values (158) 955
31.3%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
인터넷컴퓨터게임시설제공업
167 
청소년게임제공업
49 
일반게임제공업
20 
복합유통게임제공업
 
4

Length

Max length13
Median length13
Mean length11.4125
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 167
69.6%
청소년게임제공업 49
 
20.4%
일반게임제공업 20
 
8.3%
복합유통게임제공업 4
 
1.7%

Length

2023-12-12T08:26:40.620508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:26:40.731963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 167
69.6%
청소년게임제공업 49
 
20.4%
일반게임제공업 20
 
8.3%
복합유통게임제공업 4
 
1.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2022-08-31
240 

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 (%)
2022-08-31 240
100.0%

Length

2023-12-12T08:26:40.901732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:26:41.021711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-31 240
100.0%

Interactions

2023-12-12T08:26:38.035143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:26:41.076432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.904
업종명0.9041.000
2023-12-12T08:26:41.184142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.779
업종명0.7791.000

Missing values

2023-12-12T08:26:38.130922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:26:38.214180image/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
230231플레이존인천광역시 서구 청라루비로 76, 청라 스퀘어7 321호 (청라동)인천광역시 서구 청라동 155-7 청라 스퀘어7청소년게임제공업2022-08-31
231232나와라요뽑기#인천광역시 서구 대평로8번길 14, 107호 (연희동)인천광역시 서구 연희동 687-17청소년게임제공업2022-08-31
232233뽑기LAB인천광역시 서구 중봉대로586번길 9-11, 청라매그놀리아오피스텔 B11호 (청라동)인천광역시 서구 청라동 162-16 청라매그놀리아오피스텔청소년게임제공업2022-08-31
233234킹게임랜드인천광역시 서구 율도로 108, 2층 201호 (석남동)인천광역시 서구 석남동 461-1청소년게임제공업2022-08-31
234235멘탈플스인천광역시 서구 중봉대로612번길 10-20, 청라프라자 3층 303,304호 (청라동)인천광역시 서구 청라동 162-7 청라프라자청소년게임제공업2022-08-31
235236뽑기짱인천광역시 서구 이음5로 70, 새샘프라자 107호 (원당동)인천광역시 서구 원당동 1030-5 새샘프라자 107호청소년게임제공업2022-08-31
236237넌김에다뽑아인천광역시 서구 건지로284번길 54-1, 1층 (가좌동)인천광역시 서구 가좌동 145-53청소년게임제공업2022-08-31
237238원당뽑기인천광역시 서구 고산후로121번길 15, 삼경프라자 103호 (원당동)인천광역시 서구 원당동 825-7 삼경프라자청소년게임제공업2022-08-31
238239뽑기GO인천광역시 서구 심곡로 37-5, 1층 (심곡동)인천광역시 서구 심곡동 251-12청소년게임제공업2022-08-31
239240엑스랜드인천광역시 서구 청라루비로 76, 청라 스퀘어7 3층 319호 (청라동)인천광역시 서구 청라동 155-7 청라 스퀘어7청소년게임제공업2022-08-31