Overview

Dataset statistics

Number of variables6
Number of observations182
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory50.7 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description충청남도 보령시 문화유통업(노래연습장, 인터넷컴퓨터게임시설제공업, 청소년게임제공업, 일반게임제공업, 게임제작업) 상호, 우편번호, 소재지, 업종 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=423&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037841

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:48:33.191220
Analysis finished2024-01-09 21:48:33.868811
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T06:48:33.924532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.05
Q146.25
median91.5
Q3136.75
95-th percentile172.95
Maximum182
Range181
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation52.683014
Coefficient of variation (CV)0.57577065
Kurtosis-1.2
Mean91.5
Median Absolute Deviation (MAD)45.5
Skewness0
Sum16653
Variance2775.5
MonotonicityStrictly increasing
2024-01-10T06:48:34.053109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
116 1
 
0.5%
118 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
Other values (172) 172
94.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%
174 1
0.5%
173 1
0.5%

상호명
Text

Distinct176
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T06:48:34.294789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.7032967
Min length3

Characters and Unicode

Total characters1220
Distinct characters242
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

Unique172 ?
Unique (%)94.5%

Sample

1st row신나는노래연습장
2nd row내마음의노래방
3rd row은하수노래방
4th row새천년노래방
5th row바다 필 노래연습장
ValueCountFrequency (%)
노래연습장 10
 
4.8%
토이랜드 4
 
1.9%
pc방 3
 
1.4%
시유pc방 2
 
1.0%
뽑기세상 2
 
1.0%
라이브노래연습장 2
 
1.0%
코인노래연습장 2
 
1.0%
노다지pc 1
 
0.5%
조은피씨방 1
 
0.5%
라이또pc방 1
 
0.5%
Other values (182) 182
86.7%
2024-01-10T06:48:34.607668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 111
 
9.1%
래 109
 
8.9%
장 90
 
7.4%
연 84
 
6.9%
습 83
 
6.8%
C 40
 
3.3%
P 39
 
3.2%
방 39
 
3.2%
드 29
 
2.4%
28
 
2.3%
Other values (232) 568
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1076
88.2%
Uppercase Letter 109
 
8.9%
Space Separator 28
 
2.3%
Lowercase Letter 5
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 111
 
10.3%
래 109
 
10.1%
장 90
 
8.4%
연 84
 
7.8%
습 83
 
7.7%
방 39
 
3.6%
드 29
 
2.7%
랜 23
 
2.1%
게 21
 
2.0%
임 21
 
2.0%
Other values (208) 466
43.3%
Uppercase Letter
ValueCountFrequency (%)
C 40
36.7%
P 39
35.8%
O 4
 
3.7%
Y 3
 
2.8%
N 3
 
2.8%
M 3
 
2.8%
D 2
 
1.8%
U 2
 
1.8%
L 2
 
1.8%
G 2
 
1.8%
Other values (8) 9
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
i 2
40.0%
g 1
20.0%
n 1
20.0%
x 1
20.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Decimal Number
ValueCountFrequency (%)
8 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1076
88.2%
Latin 114
 
9.3%
Common 30
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 111
 
10.3%
래 109
 
10.1%
장 90
 
8.4%
연 84
 
7.8%
습 83
 
7.7%
방 39
 
3.6%
드 29
 
2.7%
랜 23
 
2.1%
게 21
 
2.0%
임 21
 
2.0%
Other values (208) 466
43.3%
Latin
ValueCountFrequency (%)
C 40
35.1%
P 39
34.2%
O 4
 
3.5%
Y 3
 
2.6%
N 3
 
2.6%
M 3
 
2.6%
D 2
 
1.8%
U 2
 
1.8%
L 2
 
1.8%
i 2
 
1.8%
Other values (12) 14
 
12.3%
Common
ValueCountFrequency (%)
28
93.3%
8 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1076
88.2%
ASCII 144
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 111
 
10.3%
래 109
 
10.1%
장 90
 
8.4%
연 84
 
7.8%
습 83
 
7.7%
방 39
 
3.6%
드 29
 
2.7%
랜 23
 
2.1%
게 21
 
2.0%
임 21
 
2.0%
Other values (208) 466
43.3%
ASCII
ValueCountFrequency (%)
C 40
27.8%
P 39
27.1%
28
19.4%
O 4
 
2.8%
Y 3
 
2.1%
N 3
 
2.1%
M 3
 
2.1%
D 2
 
1.4%
U 2
 
1.4%
L 2
 
1.4%
Other values (14) 18
12.5%

우편번호
Real number (ℝ)

Distinct41
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35238.989
Minimum33411
Maximum355812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T06:48:34.710724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33411
5-th percentile33434
Q133455.75
median33469
Q333487
95-th percentile33507.15
Maximum355812
Range322401
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation23893.746
Coefficient of variation (CV)0.67804858
Kurtosis181.9997
Mean35238.989
Median Absolute Deviation (MAD)14
Skewness13.490721
Sum6413496
Variance5.7091112 × 108
MonotonicityNot monotonic
2024-01-10T06:48:34.806674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
33470 16
 
8.8%
33466 16
 
8.8%
33469 16
 
8.8%
33489 16
 
8.8%
33488 10
 
5.5%
33443 10
 
5.5%
33487 9
 
4.9%
33455 7
 
3.8%
33471 6
 
3.3%
33435 6
 
3.3%
Other values (31) 70
38.5%
ValueCountFrequency (%)
33411 2
 
1.1%
33415 1
 
0.5%
33430 1
 
0.5%
33432 1
 
0.5%
33433 4
 
2.2%
33434 6
3.3%
33435 6
3.3%
33436 2
 
1.1%
33438 1
 
0.5%
33443 10
5.5%
ValueCountFrequency (%)
355812 1
 
0.5%
33521 2
 
1.1%
33520 4
 
2.2%
33509 2
 
1.1%
33508 1
 
0.5%
33491 1
 
0.5%
33490 4
 
2.2%
33489 16
8.8%
33488 10
5.5%
33487 9
4.9%

영업소도로명소재지
Text

Distinct175
Distinct (%)96.7%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-01-10T06:48:35.092656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length26.093923
Min length19

Characters and Unicode

Total characters4723
Distinct characters180
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

Unique169 ?
Unique (%)93.4%

Sample

1st row충청남도 보령시 작은오랏5길 37 (동대동)
2nd row충청남도 보령시 웅천읍 장터중앙길 252
3rd row충청남도 보령시 대천항2길 67 (신흑동)
4th row충청남도 보령시 대해로 897-5 (신흑동)
5th row충청남도 보령시 해수욕장4길 46 (신흑동)
ValueCountFrequency (%)
충청남도 181
18.1%
보령시 181
18.1%
동대동 67
 
6.7%
신흑동 40
 
4.0%
대천동 36
 
3.6%
1층 29
 
2.9%
죽정동 10
 
1.0%
2층 10
 
1.0%
작은오랏2길 9
 
0.9%
웅천읍 9
 
0.9%
Other values (225) 430
42.9%
2024-01-10T06:48:35.498608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
823
 
17.4%
동 247
 
5.2%
시 190
 
4.0%
보 187
 
4.0%
령 187
 
4.0%
남 185
 
3.9%
도 185
 
3.9%
청 185
 
3.9%
충 181
 
3.8%
) 174
 
3.7%
Other values (170) 2179
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2833
60.0%
Space Separator 823
 
17.4%
Decimal Number 597
 
12.6%
Close Punctuation 174
 
3.7%
Open Punctuation 174
 
3.7%
Other Punctuation 84
 
1.8%
Dash Punctuation 32
 
0.7%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 247
 
8.7%
시 190
 
6.7%
보 187
 
6.6%
령 187
 
6.6%
남 185
 
6.5%
도 185
 
6.5%
청 185
 
6.5%
충 181
 
6.4%
대 135
 
4.8%
길 116
 
4.1%
Other values (150) 1035
36.5%
Decimal Number
ValueCountFrequency (%)
1 150
25.1%
2 78
13.1%
6 61
10.2%
3 59
 
9.9%
5 51
 
8.5%
4 49
 
8.2%
7 47
 
7.9%
8 40
 
6.7%
0 35
 
5.9%
9 27
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
G 1
16.7%
L 1
16.7%
M 1
16.7%
F 1
16.7%
Space Separator
ValueCountFrequency (%)
823
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2833
60.0%
Common 1884
39.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 247
 
8.7%
시 190
 
6.7%
보 187
 
6.6%
령 187
 
6.6%
남 185
 
6.5%
도 185
 
6.5%
청 185
 
6.5%
충 181
 
6.4%
대 135
 
4.8%
길 116
 
4.1%
Other values (150) 1035
36.5%
Common
ValueCountFrequency (%)
823
43.7%
) 174
 
9.2%
( 174
 
9.2%
1 150
 
8.0%
, 84
 
4.5%
2 78
 
4.1%
6 61
 
3.2%
3 59
 
3.1%
5 51
 
2.7%
4 49
 
2.6%
Other values (5) 181
 
9.6%
Latin
ValueCountFrequency (%)
A 2
33.3%
G 1
16.7%
L 1
16.7%
M 1
16.7%
F 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2833
60.0%
ASCII 1890
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
823
43.5%
) 174
 
9.2%
( 174
 
9.2%
1 150
 
7.9%
, 84
 
4.4%
2 78
 
4.1%
6 61
 
3.2%
3 59
 
3.1%
5 51
 
2.7%
4 49
 
2.6%
Other values (10) 187
 
9.9%
Hangul
ValueCountFrequency (%)
동 247
 
8.7%
시 190
 
6.7%
보 187
 
6.6%
령 187
 
6.6%
남 185
 
6.5%
도 185
 
6.5%
청 185
 
6.5%
충 181
 
6.4%
대 135
 
4.8%
길 116
 
4.1%
Other values (150) 1035
36.5%

영업소지번소재지
Text

Distinct166
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T06:48:35.798872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length19.901099
Min length17

Characters and Unicode

Total characters3622
Distinct characters81
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)85.2%

Sample

1st row충청남도 보령시 동대동 1781
2nd row충청남도 보령시 웅천읍 대창리 682
3rd row충청남도 보령시 신흑동 950-19
4th row충청남도 보령시 신흑동 1996
5th row충청남도 보령시 신흑동 1928
ValueCountFrequency (%)
충청남도 182
23.7%
보령시 182
23.7%
동대동 67
 
8.7%
신흑동 40
 
5.2%
대천동 37
 
4.8%
죽정동 10
 
1.3%
웅천읍 9
 
1.2%
명천동 8
 
1.0%
궁촌동 7
 
0.9%
시티타워 6
 
0.8%
Other values (187) 220
28.6%
2024-01-10T06:48:36.202202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
766
21.1%
동 236
 
6.5%
시 188
 
5.2%
도 187
 
5.2%
보 184
 
5.1%
령 184
 
5.1%
충 182
 
5.0%
남 182
 
5.0%
청 182
 
5.0%
1 177
 
4.9%
Other values (71) 1154
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1943
53.6%
Decimal Number 809
22.3%
Space Separator 766
 
21.1%
Dash Punctuation 101
 
2.8%
Close Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 236
12.1%
시 188
9.7%
도 187
9.6%
보 184
9.5%
령 184
9.5%
충 182
9.4%
남 182
9.4%
청 182
9.4%
대 112
5.8%
천 58
 
3.0%
Other values (56) 248
12.8%
Decimal Number
ValueCountFrequency (%)
1 177
21.9%
2 114
14.1%
4 78
9.6%
8 77
9.5%
6 75
9.3%
3 72
8.9%
9 61
 
7.5%
7 60
 
7.4%
0 54
 
6.7%
5 41
 
5.1%
Space Separator
ValueCountFrequency (%)
766
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1943
53.6%
Common 1678
46.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 236
12.1%
시 188
9.7%
도 187
9.6%
보 184
9.5%
령 184
9.5%
충 182
9.4%
남 182
9.4%
청 182
9.4%
대 112
5.8%
천 58
 
3.0%
Other values (56) 248
12.8%
Common
ValueCountFrequency (%)
766
45.6%
1 177
 
10.5%
2 114
 
6.8%
- 101
 
6.0%
4 78
 
4.6%
8 77
 
4.6%
6 75
 
4.5%
3 72
 
4.3%
9 61
 
3.6%
7 60
 
3.6%
Other values (4) 97
 
5.8%
Latin
ValueCountFrequency (%)
H 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1943
53.6%
ASCII 1679
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
766
45.6%
1 177
 
10.5%
2 114
 
6.8%
- 101
 
6.0%
4 78
 
4.6%
8 77
 
4.6%
6 75
 
4.5%
3 72
 
4.3%
9 61
 
3.6%
7 60
 
3.6%
Other values (5) 98
 
5.8%
Hangul
ValueCountFrequency (%)
동 236
12.1%
시 188
9.7%
도 187
9.6%
보 184
9.5%
령 184
9.5%
충 182
9.4%
남 182
9.4%
청 182
9.4%
대 112
5.8%
천 58
 
3.0%
Other values (56) 248
12.8%

업종
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
노래연습장업
105 
인터넷컴퓨터게임시설제공업
40 
청소년게임제공업
24 
일반게임제공업
 
9
복합유통게임제공업
 
2

Length

Max length13
Median length6
Mean length7.8846154
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 105
57.7%
인터넷컴퓨터게임시설제공업 40
 
22.0%
청소년게임제공업 24
 
13.2%
일반게임제공업 9
 
4.9%
복합유통게임제공업 2
 
1.1%
게임물제작업 2
 
1.1%

Length

2024-01-10T06:48:36.314919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:48:36.403044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 105
57.7%
인터넷컴퓨터게임시설제공업 40
 
22.0%
청소년게임제공업 24
 
13.2%
일반게임제공업 9
 
4.9%
복합유통게임제공업 2
 
1.1%
게임물제작업 2
 
1.1%

Interactions

2024-01-10T06:48:33.599054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:48:33.460363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:48:33.670182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:48:33.531880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:48:36.469811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호업종
연번1.0000.0800.861
우편번호0.0801.0000.000
업종0.8610.0001.000
2024-01-10T06:48:36.537297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호업종
연번1.000-0.1090.675
우편번호-0.1091.0000.000
업종0.6750.0001.000

Missing values

2024-01-10T06:48:33.759304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:48:33.836970image/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

연번상호명우편번호영업소도로명소재지영업소지번소재지업종
01신나는노래연습장33470충청남도 보령시 작은오랏5길 37 (동대동)충청남도 보령시 동대동 1781노래연습장업
12내마음의노래방33520충청남도 보령시 웅천읍 장터중앙길 252충청남도 보령시 웅천읍 대창리 682노래연습장업
23은하수노래방33490충청남도 보령시 대천항2길 67 (신흑동)충청남도 보령시 신흑동 950-19노래연습장업
34새천년노래방33487충청남도 보령시 대해로 897-5 (신흑동)충청남도 보령시 신흑동 1996노래연습장업
45바다 필 노래연습장33488충청남도 보령시 해수욕장4길 46 (신흑동)충청남도 보령시 신흑동 1928노래연습장업
56열창노래방33470충청남도 보령시 작은오랏3길 58 (동대동)충청남도 보령시 동대동 1860노래연습장업
67소라노래연습장33508충청남도 보령시 웅천읍 열린바다1길 41충청남도 보령시 웅천읍 관당리 818-2노래연습장업
78열린음악회노래연습장33470충청남도 보령시 작은오랏4길 15-22 (동대동)충청남도 보령시 동대동 1707노래연습장업
89행운노래연습장33462충청남도 보령시 구장터로 9 (대천동)충청남도 보령시 대천동 210-18노래연습장업
910주공노래연습장33471충청남도 보령시 주공로 22 (동대동)충청남도 보령시 동대동 1936노래연습장업
연번상호명우편번호영업소도로명소재지영업소지번소재지업종
172173광장오락실33489충청남도 보령시 머드광장로 6 (신흑동)충청남도 보령시 신흑동 2277-2청소년게임제공업
173174게임존33489충청남도 보령시 해수욕장8길 61 (신흑동)충청남도 보령시 신흑동 2272-7청소년게임제공업
174175광장게임존33489충청남도 보령시 머드광장로 6 (신흑동)충청남도 보령시 신흑동 2277-2청소년게임제공업
175176토이랜드33478충청남도 보령시 한내로터리길 33-1 (동대동)충청남도 보령시 동대동 411청소년게임제공업
176177드림오락실33470충청남도 보령시 작은오랏6길 26 (동대동)충청남도 보령시 동대동 1854청소년게임제공업
177178뽑기세상33466충청남도 보령시 목장3길 22 (대천동)충청남도 보령시 대천동 618-375청소년게임제공업
178179게임타운33488충청남도 보령시 해수욕장5길 17, 1층 (신흑동)충청남도 보령시 신흑동 1974청소년게임제공업
179180힐링오락실33487충청남도 보령시 대해로 885, 1층 (신흑동)충청남도 보령시 신흑동 2004청소년게임제공업
180181뾰로롱 토이스토리33489충청남도 보령시 머드로 189, 1층 A-3호 (신흑동)충청남도 보령시 신흑동 2210-2청소년게임제공업
181182JOY33487충청남도 보령시 해수욕장3길 11-10, 한화콘도 지하층 (신흑동)충청남도 보령시 신흑동 2017 한화콘도청소년게임제공업