Overview

Dataset statistics

Number of variables7
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory58.5 B

Variable types

Categorical1
Text3
Numeric2
DateTime1

Dataset

Description대구광역시_북구_게임제공업현황_20190719
Author대구광역시 북구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15006331&dataSetDetailId=150063312b53e035c56b1_201910151027&provdMethod=FILE

Alerts

데이터기준일 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation

Reproduction

Analysis started2023-12-10 18:06:56.917531
Analysis finished2023-12-10 18:06:59.731803
Duration2.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
인터넷컴퓨터게임시설제공업
155 
청소년게임제공업
54 
게임물제작업
18 
게임물배급업
 
10
일반게임제공업
 
7

Length

Max length13
Median length13
Mean length10.872
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 155
62.0%
청소년게임제공업 54
 
21.6%
게임물제작업 18
 
7.2%
게임물배급업 10
 
4.0%
일반게임제공업 7
 
2.8%
복합유통게임제공업 6
 
2.4%

Length

2023-12-11T03:06:59.861521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:00.059190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 155
62.0%
청소년게임제공업 54
 
21.6%
게임물제작업 18
 
7.2%
게임물배급업 10
 
4.0%
일반게임제공업 7
 
2.8%
복합유통게임제공업 6
 
2.4%

상호
Text

Distinct239
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T03:07:00.492260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length6.088
Min length1

Characters and Unicode

Total characters1522
Distinct characters297
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

Unique228 ?
Unique (%)91.2%

Sample

1st row바글바글PC방
2nd rownu PC 산격점
3rd row헬로PC방
4th row욜로PC방
5th row케이투
ValueCountFrequency (%)
pc방 12
 
4.2%
주식회사 10
 
3.5%
pc 4
 
1.4%
토이랜드 2
 
0.7%
골드pc 2
 
0.7%
뽑기왕 2
 
0.7%
cafe 2
 
0.7%
헬로pc방 2
 
0.7%
뽑기오빠 2
 
0.7%
행운pc 2
 
0.7%
Other values (238) 245
86.0%
2023-12-11T03:07:01.254619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 123
 
8.1%
C 123
 
8.1%
방 84
 
5.5%
이 54
 
3.5%
스 40
 
2.6%
35
 
2.3%
( 30
 
2.0%
) 30
 
2.0%
임 28
 
1.8%
게 26
 
1.7%
Other values (287) 949
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1087
71.4%
Uppercase Letter 285
 
18.7%
Lowercase Letter 39
 
2.6%
Space Separator 35
 
2.3%
Open Punctuation 30
 
2.0%
Close Punctuation 30
 
2.0%
Other Punctuation 6
 
0.4%
Dash Punctuation 5
 
0.3%
Decimal Number 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 84
 
7.7%
이 54
 
5.0%
스 40
 
3.7%
임 28
 
2.6%
게 26
 
2.4%
피 26
 
2.4%
드 24
 
2.2%
점 22
 
2.0%
주 18
 
1.7%
아 14
 
1.3%
Other values (242) 751
69.1%
Uppercase Letter
ValueCountFrequency (%)
P 123
43.2%
C 123
43.2%
I 6
 
2.1%
O 4
 
1.4%
B 3
 
1.1%
F 3
 
1.1%
M 3
 
1.1%
N 3
 
1.1%
J 3
 
1.1%
L 3
 
1.1%
Other values (8) 11
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
c 7
17.9%
n 5
12.8%
a 4
10.3%
e 4
10.3%
p 4
10.3%
u 3
7.7%
o 2
 
5.1%
t 2
 
5.1%
y 1
 
2.6%
r 1
 
2.6%
Other values (6) 6
15.4%
Other Punctuation
ValueCountFrequency (%)
# 2
33.3%
& 2
33.3%
. 1
16.7%
' 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
3 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1087
71.4%
Latin 324
 
21.3%
Common 111
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 84
 
7.7%
이 54
 
5.0%
스 40
 
3.7%
임 28
 
2.6%
게 26
 
2.4%
피 26
 
2.4%
드 24
 
2.2%
점 22
 
2.0%
주 18
 
1.7%
아 14
 
1.3%
Other values (242) 751
69.1%
Latin
ValueCountFrequency (%)
P 123
38.0%
C 123
38.0%
c 7
 
2.2%
I 6
 
1.9%
n 5
 
1.5%
a 4
 
1.2%
e 4
 
1.2%
p 4
 
1.2%
O 4
 
1.2%
B 3
 
0.9%
Other values (24) 41
 
12.7%
Common
ValueCountFrequency (%)
35
31.5%
( 30
27.0%
) 30
27.0%
- 5
 
4.5%
2 3
 
2.7%
# 2
 
1.8%
& 2
 
1.8%
3 1
 
0.9%
. 1
 
0.9%
1 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1087
71.4%
ASCII 435
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 123
28.3%
C 123
28.3%
35
 
8.0%
( 30
 
6.9%
) 30
 
6.9%
c 7
 
1.6%
I 6
 
1.4%
- 5
 
1.1%
n 5
 
1.1%
a 4
 
0.9%
Other values (35) 67
15.4%
Hangul
ValueCountFrequency (%)
방 84
 
7.7%
이 54
 
5.0%
스 40
 
3.7%
임 28
 
2.6%
게 26
 
2.4%
피 26
 
2.4%
드 24
 
2.2%
점 22
 
2.0%
주 18
 
1.7%
아 14
 
1.3%
Other values (242) 751
69.1%

영업소소재지(도로명)
Text

Distinct245
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T03:07:01.738635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49.5
Mean length29.996
Min length20

Characters and Unicode

Total characters7499
Distinct characters166
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

Unique241 ?
Unique (%)96.4%

Sample

1st row대구광역시 북구 구리로36길 6 (국우동)
2nd row대구광역시 북구 연암로 177, 2층 (산격동)
3rd row대구광역시 북구 침산로 162-15, 2층 (침산동)
4th row대구광역시 북구 옥산로 94, 5층 (고성동3가)
5th row대구광역시 북구 구암로 135, 4층 (동천동)
ValueCountFrequency (%)
대구광역시 250
 
15.8%
북구 250
 
15.8%
1층 72
 
4.6%
2층 57
 
3.6%
태전동 45
 
2.8%
산격동 36
 
2.3%
복현동 30
 
1.9%
동천동 27
 
1.7%
3층 26
 
1.6%
동북로 21
 
1.3%
Other values (367) 765
48.4%
2023-12-11T03:07:03.789600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1329
 
17.7%
구 521
 
6.9%
동 360
 
4.8%
대 350
 
4.7%
1 314
 
4.2%
북 276
 
3.7%
, 269
 
3.6%
시 250
 
3.3%
) 250
 
3.3%
( 250
 
3.3%
Other values (156) 3330
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4138
55.2%
Space Separator 1329
 
17.7%
Decimal Number 1207
 
16.1%
Other Punctuation 270
 
3.6%
Close Punctuation 250
 
3.3%
Open Punctuation 250
 
3.3%
Dash Punctuation 39
 
0.5%
Uppercase Letter 14
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 521
 
12.6%
동 360
 
8.7%
대 350
 
8.5%
북 276
 
6.7%
시 250
 
6.0%
역 250
 
6.0%
로 250
 
6.0%
광 250
 
6.0%
층 211
 
5.1%
길 88
 
2.1%
Other values (136) 1332
32.2%
Decimal Number
ValueCountFrequency (%)
1 314
26.0%
2 223
18.5%
3 148
12.3%
0 110
 
9.1%
4 93
 
7.7%
6 75
 
6.2%
5 74
 
6.1%
7 60
 
5.0%
9 56
 
4.6%
8 54
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
42.9%
I 4
28.6%
T 4
28.6%
Other Punctuation
ValueCountFrequency (%)
, 269
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 250
100.0%
Open Punctuation
ValueCountFrequency (%)
( 250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4138
55.2%
Common 3347
44.6%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 521
 
12.6%
동 360
 
8.7%
대 350
 
8.5%
북 276
 
6.7%
시 250
 
6.0%
역 250
 
6.0%
로 250
 
6.0%
광 250
 
6.0%
층 211
 
5.1%
길 88
 
2.1%
Other values (136) 1332
32.2%
Common
ValueCountFrequency (%)
1329
39.7%
1 314
 
9.4%
, 269
 
8.0%
) 250
 
7.5%
( 250
 
7.5%
2 223
 
6.7%
3 148
 
4.4%
0 110
 
3.3%
4 93
 
2.8%
6 75
 
2.2%
Other values (7) 286
 
8.5%
Latin
ValueCountFrequency (%)
A 6
42.9%
I 4
28.6%
T 4
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4138
55.2%
ASCII 3361
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1329
39.5%
1 314
 
9.3%
, 269
 
8.0%
) 250
 
7.4%
( 250
 
7.4%
2 223
 
6.6%
3 148
 
4.4%
0 110
 
3.3%
4 93
 
2.8%
6 75
 
2.2%
Other values (10) 300
 
8.9%
Hangul
ValueCountFrequency (%)
구 521
 
12.6%
동 360
 
8.7%
대 350
 
8.5%
북 276
 
6.7%
시 250
 
6.0%
역 250
 
6.0%
로 250
 
6.0%
광 250
 
6.0%
층 211
 
5.1%
길 88
 
2.1%
Other values (136) 1332
32.2%

영업소소재지(지번)
Text

Distinct233
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T03:07:04.660075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length24.164
Min length19

Characters and Unicode

Total characters6041
Distinct characters113
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

Unique220 ?
Unique (%)88.0%

Sample

1st row대구광역시 북구 국우동 1118-1번지
2nd row대구광역시 북구 산격동 750-3번지 (지상2층)
3rd row대구광역시 북구 침산동 295-10번지 (지상2층)
4th row대구광역시 북구 고성동3가 25-1번지 (지상5층)
5th row대구광역시 북구 동천동 878번지 (지상4층)
ValueCountFrequency (%)
대구광역시 250
22.1%
북구 250
22.1%
태전동 45
 
4.0%
산격동 36
 
3.2%
복현동 30
 
2.7%
동천동 27
 
2.4%
지상2층 18
 
1.6%
침산동 16
 
1.4%
대현동 16
 
1.4%
지하1층 13
 
1.2%
Other values (291) 429
38.0%
2023-12-11T03:07:05.509950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1122
18.6%
구 508
 
8.4%
지 306
 
5.1%
동 292
 
4.8%
대 269
 
4.5%
1 263
 
4.4%
북 251
 
4.2%
번 251
 
4.2%
시 250
 
4.1%
광 250
 
4.1%
Other values (103) 2279
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3362
55.7%
Decimal Number 1243
 
20.6%
Space Separator 1122
 
18.6%
Dash Punctuation 215
 
3.6%
Open Punctuation 46
 
0.8%
Close Punctuation 46
 
0.8%
Other Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 508
15.1%
지 306
9.1%
동 292
8.7%
대 269
8.0%
북 251
 
7.5%
번 251
 
7.5%
시 250
 
7.4%
광 250
 
7.4%
역 250
 
7.4%
층 85
 
2.5%
Other values (85) 650
19.3%
Decimal Number
ValueCountFrequency (%)
1 263
21.2%
2 183
14.7%
3 149
12.0%
4 112
9.0%
0 100
 
8.0%
9 97
 
7.8%
7 96
 
7.7%
5 83
 
6.7%
6 81
 
6.5%
8 79
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
1122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3362
55.7%
Common 2677
44.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 508
15.1%
지 306
9.1%
동 292
8.7%
대 269
8.0%
북 251
 
7.5%
번 251
 
7.5%
시 250
 
7.4%
광 250
 
7.4%
역 250
 
7.4%
층 85
 
2.5%
Other values (85) 650
19.3%
Common
ValueCountFrequency (%)
1122
41.9%
1 263
 
9.8%
- 215
 
8.0%
2 183
 
6.8%
3 149
 
5.6%
4 112
 
4.2%
0 100
 
3.7%
9 97
 
3.6%
7 96
 
3.6%
5 83
 
3.1%
Other values (6) 257
 
9.6%
Latin
ValueCountFrequency (%)
A 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3362
55.7%
ASCII 2679
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1122
41.9%
1 263
 
9.8%
- 215
 
8.0%
2 183
 
6.8%
3 149
 
5.6%
4 112
 
4.2%
0 100
 
3.7%
9 97
 
3.6%
7 96
 
3.6%
5 83
 
3.1%
Other values (8) 259
 
9.7%
Hangul
ValueCountFrequency (%)
구 508
15.1%
지 306
9.1%
동 292
8.7%
대 269
8.0%
북 251
 
7.5%
번 251
 
7.5%
시 250
 
7.4%
광 250
 
7.4%
역 250
 
7.4%
층 85
 
2.5%
Other values (85) 650
19.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct221
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.90979
Minimum35.877664
Maximum35.952061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:07:05.877444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.877664
5-th percentile35.883353
Q135.89151
median35.90026
Q335.926772
95-th percentile35.943919
Maximum35.952061
Range0.07439613
Interquartile range (IQR)0.035261975

Descriptive statistics

Standard deviation0.02185739
Coefficient of variation (CV)0.00060867494
Kurtosis-1.290833
Mean35.90979
Median Absolute Deviation (MAD)0.01622099
Skewness0.3853446
Sum8977.4476
Variance0.00047774548
MonotonicityNot monotonic
2023-12-11T03:07:06.171544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.88368751 7
 
2.8%
35.89271952 6
 
2.4%
35.92486611 3
 
1.2%
35.91215979 3
 
1.2%
35.9054543 2
 
0.8%
35.89020455 2
 
0.8%
35.91255731 2
 
0.8%
35.92137546 2
 
0.8%
35.94303654 2
 
0.8%
35.94262091 2
 
0.8%
Other values (211) 219
87.6%
ValueCountFrequency (%)
35.87766439 1
0.4%
35.87767465 1
0.4%
35.87790725 1
0.4%
35.8784602 1
0.4%
35.88121022 1
0.4%
35.88132679 1
0.4%
35.8820338 1
0.4%
35.88219395 1
0.4%
35.88234086 1
0.4%
35.88236389 1
0.4%
ValueCountFrequency (%)
35.95206052 1
0.4%
35.95196667 1
0.4%
35.95196562 1
0.4%
35.95029788 1
0.4%
35.94955168 1
0.4%
35.94711996 1
0.4%
35.94668347 1
0.4%
35.94507731 1
0.4%
35.94501539 1
0.4%
35.94494904 1
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct221
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57823
Minimum128.51064
Maximum128.62922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T03:07:06.499659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.51064
5-th percentile128.54285
Q1128.54932
median128.57602
Q3128.60737
95-th percentile128.61758
Maximum128.62922
Range0.118576
Interquartile range (IQR)0.0580467

Descriptive statistics

Standard deviation0.029026316
Coefficient of variation (CV)0.0002257483
Kurtosis-1.2402502
Mean128.57823
Median Absolute Deviation (MAD)0.0281136
Skewness-0.098659035
Sum32144.557
Variance0.00084252699
MonotonicityNot monotonic
2023-12-11T03:07:06.799865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5959781 7
 
2.8%
128.6136802 6
 
2.4%
128.5474302 3
 
1.2%
128.5489046 3
 
1.2%
128.6049824 2
 
0.8%
128.5737191 2
 
0.8%
128.5755871 2
 
0.8%
128.5988211 2
 
0.8%
128.5610781 2
 
0.8%
128.5612968 2
 
0.8%
Other values (211) 219
87.6%
ValueCountFrequency (%)
128.5106393 1
0.4%
128.5145297 1
0.4%
128.5154525 1
0.4%
128.5157113 1
0.4%
128.5158135 1
0.4%
128.5158821 1
0.4%
128.5179414 1
0.4%
128.5404101 1
0.4%
128.5418115 1
0.4%
128.5422659 1
0.4%
ValueCountFrequency (%)
128.6292153 1
0.4%
128.627359 1
0.4%
128.6239771 1
0.4%
128.6216195 1
0.4%
128.6212553 1
0.4%
128.6208805 1
0.4%
128.6205709 1
0.4%
128.6196303 1
0.4%
128.6189305 1
0.4%
128.6186105 1
0.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2019-07-19 00:00:00
Maximum2019-07-19 00:00:00
2023-12-11T03:07:07.041929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:07:07.214955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T03:06:59.060177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:06:58.667702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:06:59.238925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:06:58.893980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:07:07.349594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명위도경도
업종명1.0000.1500.240
위도0.1501.0000.768
경도0.2400.7681.000
2023-12-11T03:07:07.522899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종명
위도1.000-0.5670.078
경도-0.5671.0000.118
업종명0.0780.1181.000

Missing values

2023-12-11T03:06:59.455770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:06:59.657935image/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

업종명상호영업소소재지(도로명)영업소소재지(지번)위도경도데이터기준일
0인터넷컴퓨터게임시설제공업바글바글PC방대구광역시 북구 구리로36길 6 (국우동)대구광역시 북구 국우동 1118-1번지35.94712128.5742862019-07-19
1인터넷컴퓨터게임시설제공업nu PC 산격점대구광역시 북구 연암로 177, 2층 (산격동)대구광역시 북구 산격동 750-3번지 (지상2층)35.900226128.5961362019-07-19
2인터넷컴퓨터게임시설제공업헬로PC방대구광역시 북구 침산로 162-15, 2층 (침산동)대구광역시 북구 침산동 295-10번지 (지상2층)35.891075128.5912262019-07-19
3인터넷컴퓨터게임시설제공업욜로PC방대구광역시 북구 옥산로 94, 5층 (고성동3가)대구광역시 북구 고성동3가 25-1번지 (지상5층)35.884117128.5856032019-07-19
4인터넷컴퓨터게임시설제공업케이투대구광역시 북구 구암로 135, 4층 (동천동)대구광역시 북구 동천동 878번지 (지상4층)35.932102128.5557142019-07-19
5인터넷컴퓨터게임시설제공업m PC방대구광역시 북구 구암로 139, 4층 (동천동)대구광역시 북구 동천동 878-2번지 (지상4층)35.932064128.5561242019-07-19
6인터넷컴퓨터게임시설제공업나우PC방대구광역시 북구 산격로6길 24-1, 2층 (산격동)대구광역시 북구 산격동 1400-11번지 (지상2층)35.892434128.6078632019-07-19
7인터넷컴퓨터게임시설제공업nu피시방서변점대구광역시 북구 호국로 215, 5층 502,503호 (서변동, 대성골든프라자2차)대구광역시 북구 서변동 1787번지35.920862128.5988172019-07-19
8인터넷컴퓨터게임시설제공업바이킹PC방대구광역시 북구 동북로 162, 5층 (산격동)대구광역시 북구 산격동 1260-3번지 (지상5층)35.899235128.6103632019-07-19
9인터넷컴퓨터게임시설제공업퀸PC대구광역시 북구 동북로 290, 5층 (복현동)대구광역시 북구 복현동 479-4번지 (지상5층)35.892363128.621622019-07-19
업종명상호영업소소재지(도로명)영업소소재지(지번)위도경도데이터기준일
240청소년게임제공업뽀끼랜드대구광역시 북구 산격로 98, 1층 (산격동)대구광역시 북구 산격동 1235-23번지35.898538128.6073672019-07-19
241청소년게임제공업챌린져샵대구광역시 북구 연암로 176, 1층 (산격동)대구광역시 북구 산격동 749-16번지35.899999128.5965222019-07-19
242청소년게임제공업선수입장대구광역시 북구 칠곡중앙대로 349, A동 1층 (태전동)대구광역시 북구 태전동 973-3번지35.926868128.5472222019-07-19
243청소년게임제공업뽀바샵(#)대구광역시 북구 고성북로 16, 1층 (고성동3가)대구광역시 북구 고성동3가 6-98번지35.88121128.582882019-07-19
244청소년게임제공업뽑기왕대구광역시 북구 칠곡중앙대로 328, 1층 (태전동)대구광역시 북구 태전동 421-6번지35.924866128.547432019-07-19
245청소년게임제공업룰루랄라뽑기대구광역시 북구 산격로 93, 1층 (산격동)대구광역시 북구 산격동 1218-14번지35.898469128.6068682019-07-19
246청소년게임제공업행운오락실대구광역시 북구 학정로106길 15, 4층 (학정동)대구광역시 북구 학정동 928-6번지35.951967128.5672162019-07-19
247청소년게임제공업인형짱대구광역시 북구 신암로 63, 1층 (대현동)대구광역시 북구 대현동 329-8번지35.877907128.6073082019-07-19
248청소년게임제공업뽑기방대구광역시 북구 한강로6길 15, 썸.필링타워 1층 103호 (사수동)대구광역시 북구 사수동 963번지35.895668128.5158142019-07-19
249청소년게임제공업뽑기박사대구광역시 북구 태전로1길 13, A동 1층 (태전동)대구광역시 북구 태전동 206-25번지35.920192128.544552019-07-19