Overview

Dataset statistics

Number of variables7
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory58.2 B

Variable types

Categorical1
Text4
Numeric1
DateTime1

Dataset

Description대구광역시 북구 관내 관광관련시설(관광숙박업, 국내여행업, 국내외여행업, 종합여행업, 기타유원시설업 등의 위치정보) 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15006404/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 21:29:15.202359
Analysis finished2023-12-12 21:29:16.499622
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업종류
Categorical

Distinct12
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size980.0 B
국내외여행업
39 
종합여행업
24 
기타유원시설업
15 
국제회의기획업
12 
국내여행업
7 
Other values (7)
9 

Length

Max length11
Median length7
Mean length6.1132075
Min length5

Unique

Unique6 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 39
36.8%
종합여행업 24
22.6%
기타유원시설업 15
 
14.2%
국제회의기획업 12
 
11.3%
국내여행업 7
 
6.6%
외국인관광 도시민박업 3
 
2.8%
관광숙박업 1
 
0.9%
일반야영장업 1
 
0.9%
자동차야영장업 1
 
0.9%
한옥체험업 1
 
0.9%
Other values (2) 2
 
1.9%

Length

2023-12-13T06:29:16.582474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국내외여행업 39
35.8%
종합여행업 24
22.0%
기타유원시설업 15
 
13.8%
국제회의기획업 12
 
11.0%
국내여행업 7
 
6.4%
외국인관광 3
 
2.8%
도시민박업 3
 
2.8%
관광숙박업 1
 
0.9%
일반야영장업 1
 
0.9%
자동차야영장업 1
 
0.9%
Other values (3) 3
 
2.8%

상호
Text

Distinct100
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-13T06:29:16.900816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length15
Mean length8.7830189
Min length2

Characters and Unicode

Total characters931
Distinct characters231
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

Unique95 ?
Unique (%)89.6%

Sample

1st row대구답사마당
2nd row(주)대진관광여행사
3rd row(주)교육여행 꿈꾸는 아이들
4th row주식회사 아름다운 사람과 길
5th row(주)영체원
ValueCountFrequency (%)
주식회사 9
 
6.0%
주)신동아전세관광 3
 
2.0%
금호강 3
 
2.0%
사람과 3
 
2.0%
길 3
 
2.0%
투어 2
 
1.3%
travel 2
 
1.3%
여행사 2
 
1.3%
주)아름다운 2
 
1.3%
아이들 2
 
1.3%
Other values (113) 119
79.3%
2023-12-13T06:29:17.337976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 62
 
6.7%
( 57
 
6.1%
) 57
 
6.1%
44
 
4.7%
사 30
 
3.2%
이 22
 
2.4%
행 22
 
2.4%
여 21
 
2.3%
어 19
 
2.0%
투 19
 
2.0%
Other values (221) 578
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
77.2%
Open Punctuation 57
 
6.1%
Close Punctuation 57
 
6.1%
Space Separator 44
 
4.7%
Lowercase Letter 29
 
3.1%
Uppercase Letter 18
 
1.9%
Other Punctuation 4
 
0.4%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 62
 
8.6%
사 30
 
4.2%
이 22
 
3.1%
행 22
 
3.1%
여 21
 
2.9%
어 19
 
2.6%
투 19
 
2.6%
아 18
 
2.5%
광 16
 
2.2%
스 15
 
2.1%
Other values (189) 475
66.1%
Lowercase Letter
ValueCountFrequency (%)
o 4
13.8%
r 4
13.8%
a 3
10.3%
t 3
10.3%
e 3
10.3%
v 2
6.9%
l 2
6.9%
u 2
6.9%
d 1
 
3.4%
n 1
 
3.4%
Other values (4) 4
13.8%
Uppercase Letter
ValueCountFrequency (%)
T 3
16.7%
C 3
16.7%
L 3
16.7%
K 2
11.1%
M 2
11.1%
S 1
 
5.6%
R 1
 
5.6%
U 1
 
5.6%
O 1
 
5.6%
Z 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 719
77.2%
Common 165
 
17.7%
Latin 47
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 62
 
8.6%
사 30
 
4.2%
이 22
 
3.1%
행 22
 
3.1%
여 21
 
2.9%
어 19
 
2.6%
투 19
 
2.6%
아 18
 
2.5%
광 16
 
2.2%
스 15
 
2.1%
Other values (189) 475
66.1%
Latin
ValueCountFrequency (%)
o 4
 
8.5%
r 4
 
8.5%
T 3
 
6.4%
a 3
 
6.4%
C 3
 
6.4%
t 3
 
6.4%
e 3
 
6.4%
L 3
 
6.4%
v 2
 
4.3%
l 2
 
4.3%
Other values (14) 17
36.2%
Common
ValueCountFrequency (%)
( 57
34.5%
) 57
34.5%
44
26.7%
. 3
 
1.8%
2 1
 
0.6%
4 1
 
0.6%
, 1
 
0.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 719
77.2%
ASCII 212
 
22.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 62
 
8.6%
사 30
 
4.2%
이 22
 
3.1%
행 22
 
3.1%
여 21
 
2.9%
어 19
 
2.6%
투 19
 
2.6%
아 18
 
2.5%
광 16
 
2.2%
스 15
 
2.1%
Other values (189) 475
66.1%
ASCII
ValueCountFrequency (%)
( 57
26.9%
) 57
26.9%
44
20.8%
o 4
 
1.9%
r 4
 
1.9%
T 3
 
1.4%
a 3
 
1.4%
C 3
 
1.4%
. 3
 
1.4%
t 3
 
1.4%
Other values (22) 31
14.6%

소재지(도로명)
Text

Distinct97
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-13T06:29:17.706898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length30.669811
Min length17

Characters and Unicode

Total characters3251
Distinct characters148
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

Unique90 ?
Unique (%)84.9%

Sample

1st row대구광역시 북구 유통단지로 25, 전자상가 4동 221호 (산격동)
2nd row대구광역시 북구 칠곡중앙대로 620 (읍내동)
3rd row대구광역시 북구 칠곡중앙대로 218 (태전동)
4th row대구광역시 북구 경대로5길 12-1, 2층 (대현동)
5th row대구광역시 북구 구암로 12, 상가동 106호 (태전동, 롯데아파트)
ValueCountFrequency (%)
대구광역시 106
 
15.9%
북구 106
 
15.9%
산격동 33
 
4.9%
태전동 13
 
1.9%
3층 13
 
1.9%
2층 12
 
1.8%
침산동 9
 
1.3%
칠곡중앙대로 9
 
1.3%
칠성동2가 9
 
1.3%
유통단지로 8
 
1.2%
Other values (212) 349
52.3%
2023-12-13T06:29:18.225666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564
 
17.3%
구 233
 
7.2%
대 146
 
4.5%
동 144
 
4.4%
1 132
 
4.1%
북 118
 
3.6%
시 111
 
3.4%
광 107
 
3.3%
역 107
 
3.3%
( 103
 
3.2%
Other values (138) 1486
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1856
57.1%
Space Separator 564
 
17.3%
Decimal Number 513
 
15.8%
Open Punctuation 103
 
3.2%
Close Punctuation 103
 
3.2%
Other Punctuation 87
 
2.7%
Dash Punctuation 18
 
0.6%
Uppercase Letter 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 233
 
12.6%
대 146
 
7.9%
동 144
 
7.8%
북 118
 
6.4%
시 111
 
6.0%
광 107
 
5.8%
역 107
 
5.8%
로 103
 
5.5%
산 52
 
2.8%
층 48
 
2.6%
Other values (119) 687
37.0%
Decimal Number
ValueCountFrequency (%)
1 132
25.7%
2 102
19.9%
0 61
11.9%
3 58
11.3%
5 43
 
8.4%
4 32
 
6.2%
6 25
 
4.9%
7 22
 
4.3%
9 19
 
3.7%
8 19
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 1
 
14.3%
T 1
 
14.3%
K 1
 
14.3%
Space Separator
ValueCountFrequency (%)
564
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1856
57.1%
Common 1388
42.7%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 233
 
12.6%
대 146
 
7.9%
동 144
 
7.8%
북 118
 
6.4%
시 111
 
6.0%
광 107
 
5.8%
역 107
 
5.8%
로 103
 
5.5%
산 52
 
2.8%
층 48
 
2.6%
Other values (119) 687
37.0%
Common
ValueCountFrequency (%)
564
40.6%
1 132
 
9.5%
( 103
 
7.4%
) 103
 
7.4%
2 102
 
7.3%
, 87
 
6.3%
0 61
 
4.4%
3 58
 
4.2%
5 43
 
3.1%
4 32
 
2.3%
Other values (5) 103
 
7.4%
Latin
ValueCountFrequency (%)
B 4
57.1%
A 1
 
14.3%
T 1
 
14.3%
K 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1856
57.1%
ASCII 1395
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
564
40.4%
1 132
 
9.5%
( 103
 
7.4%
) 103
 
7.4%
2 102
 
7.3%
, 87
 
6.2%
0 61
 
4.4%
3 58
 
4.2%
5 43
 
3.1%
4 32
 
2.3%
Other values (9) 110
 
7.9%
Hangul
ValueCountFrequency (%)
구 233
 
12.6%
대 146
 
7.9%
동 144
 
7.8%
북 118
 
6.4%
시 111
 
6.0%
광 107
 
5.8%
역 107
 
5.8%
로 103
 
5.5%
산 52
 
2.8%
층 48
 
2.6%
Other values (119) 687
37.0%

연락처
Text

Distinct52
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-13T06:29:18.475691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.971698
Min length9

Characters and Unicode

Total characters1269
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

Unique47 ?
Unique (%)44.3%

Sample

1st row000-000-0000
2nd row053-431-0045
3rd row000-000-0000
4th row000-000-0000
5th row053-313-9900
ValueCountFrequency (%)
000-000-0000 50
47.2%
053-959-7788 3
 
2.8%
053-601-5000 2
 
1.9%
053-427-5535 2
 
1.9%
053-746-6407 2
 
1.9%
053-959-7200 1
 
0.9%
053-384-5477 1
 
0.9%
053-475-1008 1
 
0.9%
053-327-3322 1
 
0.9%
053-956-5061 1
 
0.9%
Other values (42) 42
39.6%
2023-12-13T06:29:18.900642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 613
48.3%
- 211
 
16.6%
3 105
 
8.3%
5 101
 
8.0%
2 46
 
3.6%
1 40
 
3.2%
8 39
 
3.1%
7 36
 
2.8%
6 31
 
2.4%
4 27
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1058
83.4%
Dash Punctuation 211
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 613
57.9%
3 105
 
9.9%
5 101
 
9.5%
2 46
 
4.3%
1 40
 
3.8%
8 39
 
3.7%
7 36
 
3.4%
6 31
 
2.9%
4 27
 
2.6%
9 20
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1269
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 613
48.3%
- 211
 
16.6%
3 105
 
8.3%
5 101
 
8.0%
2 46
 
3.6%
1 40
 
3.2%
8 39
 
3.1%
7 36
 
2.8%
6 31
 
2.4%
4 27
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 613
48.3%
- 211
 
16.6%
3 105
 
8.3%
5 101
 
8.0%
2 46
 
3.6%
1 40
 
3.2%
8 39
 
3.1%
7 36
 
2.8%
6 31
 
2.4%
4 27
 
2.1%

위도
Text

Distinct79
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-13T06:29:19.219337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length10.990566
Min length10

Characters and Unicode

Total characters1165
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)59.4%

Sample

1st row35.90545705
2nd row35.95060541
3rd row35.91542572
4th row35.88483639
5th row35.93316918
ValueCountFrequency (%)
35.88368682 4
 
3.8%
35.90706959 4
 
3.8%
35.92684451 3
 
2.8%
35.94361723 3
 
2.8%
35.88522557 3
 
2.8%
35.90699854 3
 
2.8%
35.90216834 3
 
2.8%
35.90904418 3
 
2.8%
35.88483639 3
 
2.8%
35.94484991 2
 
1.9%
Other values (69) 75
70.8%
2023-12-13T06:29:19.700680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 175
15.0%
3 174
14.9%
9 151
13.0%
8 131
11.2%
. 106
9.1%
0 75
6.4%
4 74
6.4%
6 72
6.2%
1 72
6.2%
2 69
 
5.9%
Other values (2) 66
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1058
90.8%
Other Punctuation 106
 
9.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 175
16.5%
3 174
16.4%
9 151
14.3%
8 131
12.4%
0 75
7.1%
4 74
7.0%
6 72
6.8%
1 72
6.8%
2 69
 
6.5%
7 65
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1165
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 175
15.0%
3 174
14.9%
9 151
13.0%
8 131
11.2%
. 106
9.1%
0 75
6.4%
4 74
6.4%
6 72
6.2%
1 72
6.2%
2 69
 
5.9%
Other values (2) 66
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 175
15.0%
3 174
14.9%
9 151
13.0%
8 131
11.2%
. 106
9.1%
0 75
6.4%
4 74
6.4%
6 72
6.2%
1 72
6.2%
2 69
 
5.9%
Other values (2) 66
 
5.7%

경도
Real number (ℝ)

Distinct79
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58602
Minimum128.51064
Maximum128.62814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T06:29:19.897113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.51064
5-th percentile128.54403
Q1128.55717
median128.59605
Q3128.60906
95-th percentile128.61673
Maximum128.62814
Range0.1175029
Interquartile range (IQR)0.0518825

Descriptive statistics

Standard deviation0.026902485
Coefficient of variation (CV)0.0002092178
Kurtosis-0.98564109
Mean128.58602
Median Absolute Deviation (MAD)0.0162695
Skewness-0.53623442
Sum13630.118
Variance0.00072374368
MonotonicityNot monotonic
2023-12-13T06:29:20.074760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6130739 4
 
3.8%
128.5959754 4
 
3.8%
128.6116497 3
 
2.8%
128.6065326 3
 
2.8%
128.556941 3
 
2.8%
128.5897899 3
 
2.8%
128.6112855 3
 
2.8%
128.5440277 3
 
2.8%
128.6123218 3
 
2.8%
128.5602678 2
 
1.9%
Other values (69) 75
70.8%
ValueCountFrequency (%)
128.5106377 1
 
0.9%
128.5393946 1
 
0.9%
128.54196 1
 
0.9%
128.5424576 1
 
0.9%
128.5429209 1
 
0.9%
128.5440277 3
2.8%
128.5485452 1
 
0.9%
128.5486864 2
1.9%
128.5486978 1
 
0.9%
128.5488502 2
1.9%
ValueCountFrequency (%)
128.6281406 1
 
0.9%
128.6228357 1
 
0.9%
128.6215476 1
 
0.9%
128.6205552 1
 
0.9%
128.6188394 1
 
0.9%
128.6167332 1
 
0.9%
128.6167119 1
 
0.9%
128.6143223 1
 
0.9%
128.6130739 4
3.8%
128.612519 1
 
0.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2023-07-20 00:00:00
Maximum2023-07-20 00:00:00
2023-12-13T06:29:20.230582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:29:20.328247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:29:16.160872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:29:20.409823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업종류상호소재지(도로명)연락처위도경도
영업종류1.0000.0000.4770.3730.0000.000
상호0.0001.0001.0001.0001.0001.000
소재지(도로명)0.4771.0001.0000.9961.0001.000
연락처0.3731.0000.9961.0000.9790.000
위도0.0001.0001.0000.9791.0001.000
경도0.0001.0001.0000.0001.0001.000
2023-12-13T06:29:20.545422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도영업종류
경도1.0000.000
영업종류0.0001.000

Missing values

2023-12-13T06:29:16.304363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:29:16.441692image/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

영업종류상호소재지(도로명)연락처위도경도데이터기준일자
0국내여행업대구답사마당대구광역시 북구 유통단지로 25, 전자상가 4동 221호 (산격동)000-000-000035.90545705128.6049822023-07-20
1국내여행업(주)대진관광여행사대구광역시 북구 칠곡중앙대로 620 (읍내동)053-431-004535.95060541128.5533362023-07-20
2국내여행업(주)교육여행 꿈꾸는 아이들대구광역시 북구 칠곡중앙대로 218 (태전동)000-000-000035.91542572128.5486982023-07-20
3국내여행업주식회사 아름다운 사람과 길대구광역시 북구 경대로5길 12-1, 2층 (대현동)000-000-000035.88483639128.6123222023-07-20
4국내여행업(주)영체원대구광역시 북구 구암로 12, 상가동 106호 (태전동, 롯데아파트)053-313-990035.93316918128.5424582023-07-20
5국내여행업(주)아일랜드투어대구광역시 북구 칠곡중앙대로 212, 미노빌딩 106호 (태전동)053-427-553535.91479007128.548852023-07-20
6국내여행업(주)신동아전세관광대구광역시 북구 유통단지로 91, B동 203호 (산격동)053-959-778835.90904418128.611652023-07-20
7국내외여행업(주)조은항공여행사대구광역시 북구 칠성로 97-1 (칠성동2가)053-426-160035.87877799128.6000692023-07-20
8국내외여행업(주)코끼리여행사대구광역시 북구 칠곡중앙대로 232 (태전동)053-312-070035.9167136128.5486862023-07-20
9국내외여행업(주)대동티엠대구광역시 북구 팔달로45길 11-20 (노원동2가)000-000-000035.88869618128.5745352023-07-20
영업종류상호소재지(도로명)연락처위도경도데이터기준일자
96기타유원시설업애플블록앤퍼즐대구광역시 북구 동암로12길 8, 칠곡홈플러스 2층 (동천동)053-322-082635.94484991128.5559672023-07-20
97기타유원시설업모모키즈빌리지대구광역시 북구 유통단지로14길 22, 일반의류관 4층 (산격동)053-719-269235.90521592128.6103652023-07-20
98기타유원시설업(주)아이니멀티플랙스대구광역시 북구 침산로 93, 스펙트럼시티 5층 (칠성동2가)000-000-000035.88522557128.589792023-07-20
99기타유원시설업꼼지락노리터대구광역시 북구 검단로 255, 상가3동 201호 (검단동, 민들레아파트)000-000-000035.91633576128.6281412023-07-20
100기타유원시설업리틀비틀대구광역시 북구 팔거천동로 221, 3층 (동천동)000-000-000035.94374542128.5578752023-07-20
101기타유원시설업위니키즈카페대구광역시 북구 침산로 168, 엠브로타워 6층 601호 (침산동)053-341-940135.89119167128.5906132023-07-20
102기타유원시설업룰루대구광역시 북구 동암로 128-10, 우진빌딩 201호 (구암동)000-000-000035.94326404128.5645442023-07-20
103기타유원시설업맘편한플레이스대구광역시 북구 대현로 102, 3층 (대현동)053-956-125335.88208925128.610022023-07-20
104기타유원시설업토이랜드칠팔삼대구광역시 북구 동화천로 290, 4층 404호 (연경동)000-000-000035.94143338128.6228362023-07-20
105기타유원시설업금호강 하중도 주변 물놀이장대구광역시 북구 노곡동 982053-476-991235.90212469128.5674652023-07-20