Overview

Dataset statistics

Number of variables6
Number of observations473
Missing cells55
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.3 KiB
Average record size in memory48.3 B

Variable types

Categorical2
Text4

Dataset

Description대구광역시 수성구 쳬육시설현황 20180814
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3033703&dataSetDetailId=30337032fd7712be3156_201909091318&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
시설전화번호 has 53 (11.2%) missing valuesMissing

Reproduction

Analysis started2024-04-21 08:20:17.988475
Analysis finished2024-04-21 08:20:19.136397
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
체육도장업
141 
골프연습장업
124 
체력단련장업
108 
당구장업
82 
수영장업
 
8
Other values (3)
 
10

Length

Max length7
Median length6
Mean length5.3276956
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 141
29.8%
골프연습장업 124
26.2%
체력단련장업 108
22.8%
당구장업 82
17.3%
수영장업 8
 
1.7%
종합체육시설업 7
 
1.5%
무도학원업 2
 
0.4%
빙상장업 1
 
0.2%

Length

2024-04-21T17:20:19.256133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:20:19.453818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 141
29.8%
골프연습장업 124
26.2%
체력단련장업 108
22.8%
당구장업 82
17.3%
수영장업 8
 
1.7%
종합체육시설업 7
 
1.5%
무도학원업 2
 
0.4%
빙상장업 1
 
0.2%

상호
Text

Distinct463
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-04-21T17:20:20.352318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length7.7167019
Min length2

Characters and Unicode

Total characters3650
Distinct characters369
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

Unique455 ?
Unique (%)96.2%

Sample

1st row효성스포츠빌덕원수영장
2nd row수성수영장
3rd row(주)씨유컴퍼니 아쿠아키즈(범어)
4th rowP&S 수영장
5th row월드스포츠스쿨 아쿠아센터
ValueCountFrequency (%)
태권도장 16
 
2.4%
휘트니스 13
 
1.9%
태권도 11
 
1.6%
당구클럽 11
 
1.6%
당구장 11
 
1.6%
용인대 7
 
1.0%
스크린골프 6
 
0.9%
헬스 5
 
0.7%
국가대표 5
 
0.7%
아카데미 5
 
0.7%
Other values (526) 585
86.7%
2024-04-21T17:20:21.472391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 213
 
5.8%
202
 
5.5%
프 121
 
3.3%
장 112
 
3.1%
도 110
 
3.0%
골 109
 
3.0%
태 104
 
2.8%
권 101
 
2.8%
구 82
 
2.2%
당 80
 
2.2%
Other values (359) 2416
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3173
86.9%
Space Separator 202
 
5.5%
Uppercase Letter 158
 
4.3%
Lowercase Letter 44
 
1.2%
Decimal Number 26
 
0.7%
Open Punctuation 17
 
0.5%
Close Punctuation 17
 
0.5%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 213
 
6.7%
프 121
 
3.8%
장 112
 
3.5%
도 110
 
3.5%
골 109
 
3.4%
태 104
 
3.3%
권 101
 
3.2%
구 82
 
2.6%
당 80
 
2.5%
클 69
 
2.2%
Other values (303) 2072
65.3%
Uppercase Letter
ValueCountFrequency (%)
T 23
14.6%
G 16
 
10.1%
M 12
 
7.6%
S 11
 
7.0%
C 10
 
6.3%
Y 10
 
6.3%
B 10
 
6.3%
A 9
 
5.7%
P 8
 
5.1%
J 7
 
4.4%
Other values (13) 42
26.6%
Lowercase Letter
ValueCountFrequency (%)
o 8
18.2%
s 4
 
9.1%
d 3
 
6.8%
t 3
 
6.8%
u 3
 
6.8%
m 3
 
6.8%
y 3
 
6.8%
i 3
 
6.8%
g 2
 
4.5%
p 2
 
4.5%
Other values (8) 10
22.7%
Decimal Number
ValueCountFrequency (%)
2 13
50.0%
3 4
 
15.4%
7 3
 
11.5%
5 2
 
7.7%
4 2
 
7.7%
0 1
 
3.8%
1 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
& 6
46.2%
. 3
23.1%
' 2
 
15.4%
# 1
 
7.7%
, 1
 
7.7%
Space Separator
ValueCountFrequency (%)
202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3173
86.9%
Common 275
 
7.5%
Latin 202
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 213
 
6.7%
프 121
 
3.8%
장 112
 
3.5%
도 110
 
3.5%
골 109
 
3.4%
태 104
 
3.3%
권 101
 
3.2%
구 82
 
2.6%
당 80
 
2.5%
클 69
 
2.2%
Other values (303) 2072
65.3%
Latin
ValueCountFrequency (%)
T 23
 
11.4%
G 16
 
7.9%
M 12
 
5.9%
S 11
 
5.4%
C 10
 
5.0%
Y 10
 
5.0%
B 10
 
5.0%
A 9
 
4.5%
o 8
 
4.0%
P 8
 
4.0%
Other values (31) 85
42.1%
Common
ValueCountFrequency (%)
202
73.5%
( 17
 
6.2%
) 17
 
6.2%
2 13
 
4.7%
& 6
 
2.2%
3 4
 
1.5%
. 3
 
1.1%
7 3
 
1.1%
' 2
 
0.7%
5 2
 
0.7%
Other values (5) 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3173
86.9%
ASCII 477
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 213
 
6.7%
프 121
 
3.8%
장 112
 
3.5%
도 110
 
3.5%
골 109
 
3.4%
태 104
 
3.3%
권 101
 
3.2%
구 82
 
2.6%
당 80
 
2.5%
클 69
 
2.2%
Other values (303) 2072
65.3%
ASCII
ValueCountFrequency (%)
202
42.3%
T 23
 
4.8%
( 17
 
3.6%
) 17
 
3.6%
G 16
 
3.4%
2 13
 
2.7%
M 12
 
2.5%
S 11
 
2.3%
C 10
 
2.1%
Y 10
 
2.1%
Other values (46) 146
30.6%

시설주소(지번)
Text

Distinct443
Distinct (%)94.1%
Missing2
Missing (%)0.4%
Memory size3.8 KiB
2024-04-21T17:20:22.455206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length25.5138
Min length18

Characters and Unicode

Total characters12017
Distinct characters165
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

Unique417 ?
Unique (%)88.5%

Sample

1st row대구광역시 수성구 욱수동 81번지
2nd row대구광역시 수성구 상동 89-2번지 수성초등학교 지하1층
3rd row대구광역시 수성구 범어동 171-4번지
4th row대구광역시 수성구 만촌동 426-11번지
5th row대구광역시 수성구 사월동 550-3번지
ValueCountFrequency (%)
대구광역시 471
21.3%
수성구 471
21.3%
범어동 66
 
3.0%
지산동 61
 
2.8%
만촌동 58
 
2.6%
신매동 39
 
1.8%
황금동 36
 
1.6%
두산동 32
 
1.4%
2층 29
 
1.3%
수성동4가 26
 
1.2%
Other values (572) 921
41.7%
2024-04-21T17:20:23.718783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2175
18.1%
구 944
 
7.9%
지 603
 
5.0%
1 573
 
4.8%
성 548
 
4.6%
수 543
 
4.5%
동 526
 
4.4%
시 500
 
4.2%
대 477
 
4.0%
광 471
 
3.9%
Other values (155) 4657
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6976
58.1%
Decimal Number 2458
 
20.5%
Space Separator 2175
 
18.1%
Dash Punctuation 371
 
3.1%
Other Punctuation 12
 
0.1%
Uppercase Letter 10
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 944
13.5%
지 603
8.6%
성 548
 
7.9%
수 543
 
7.8%
동 526
 
7.5%
시 500
 
7.2%
대 477
 
6.8%
광 471
 
6.8%
역 471
 
6.8%
번 471
 
6.8%
Other values (133) 1422
20.4%
Decimal Number
ValueCountFrequency (%)
1 573
23.3%
2 337
13.7%
3 265
10.8%
0 230
9.4%
4 213
 
8.7%
5 198
 
8.1%
8 188
 
7.6%
7 157
 
6.4%
6 150
 
6.1%
9 147
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
50.0%
A 2
 
20.0%
G 1
 
10.0%
K 1
 
10.0%
S 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
. 2
 
16.7%
Space Separator
ValueCountFrequency (%)
2175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 371
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6976
58.1%
Common 5031
41.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 944
13.5%
지 603
8.6%
성 548
 
7.9%
수 543
 
7.8%
동 526
 
7.5%
시 500
 
7.2%
대 477
 
6.8%
광 471
 
6.8%
역 471
 
6.8%
번 471
 
6.8%
Other values (133) 1422
20.4%
Common
ValueCountFrequency (%)
2175
43.2%
1 573
 
11.4%
- 371
 
7.4%
2 337
 
6.7%
3 265
 
5.3%
0 230
 
4.6%
4 213
 
4.2%
5 198
 
3.9%
8 188
 
3.7%
7 157
 
3.1%
Other values (7) 324
 
6.4%
Latin
ValueCountFrequency (%)
B 5
50.0%
A 2
 
20.0%
G 1
 
10.0%
K 1
 
10.0%
S 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6976
58.1%
ASCII 5041
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2175
43.1%
1 573
 
11.4%
- 371
 
7.4%
2 337
 
6.7%
3 265
 
5.3%
0 230
 
4.6%
4 213
 
4.2%
5 198
 
3.9%
8 188
 
3.7%
7 157
 
3.1%
Other values (12) 334
 
6.6%
Hangul
ValueCountFrequency (%)
구 944
13.5%
지 603
8.6%
성 548
 
7.9%
수 543
 
7.8%
동 526
 
7.5%
시 500
 
7.2%
대 477
 
6.8%
광 471
 
6.8%
역 471
 
6.8%
번 471
 
6.8%
Other values (133) 1422
20.4%

시설주소(도로명)
Text

Distinct459
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-04-21T17:20:24.768937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length54
Mean length30.61945
Min length21

Characters and Unicode

Total characters14483
Distinct characters210
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

Unique446 ?
Unique (%)94.3%

Sample

1st row대구광역시 수성구 욱수길 37 (욱수동, 덕원고등학교,덕원중학교)
2nd row대구광역시 수성구 상화로5길 40, 지하층 (상동, 대구수성초등학교)
3rd row대구광역시 수성구 달구벌대로 2491 (범어동)
4th row대구광역시 수성구 만촌로 101 (만촌동)
5th row대구광역시 수성구 달구벌대로669길 40 (사월동)
ValueCountFrequency (%)
대구광역시 473
 
16.5%
수성구 473
 
16.5%
범어동 66
 
2.3%
지산동 61
 
2.1%
만촌동 59
 
2.1%
2층 58
 
2.0%
3층 52
 
1.8%
신매동 41
 
1.4%
달구벌대로 38
 
1.3%
황금동 37
 
1.3%
Other values (622) 1513
52.7%
2024-04-21T17:20:26.098636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2398
 
16.6%
구 1060
 
7.3%
수 623
 
4.3%
성 608
 
4.2%
동 607
 
4.2%
대 591
 
4.1%
시 515
 
3.6%
) 492
 
3.4%
( 492
 
3.4%
광 477
 
3.3%
Other values (200) 6620
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8374
57.8%
Space Separator 2398
 
16.6%
Decimal Number 2205
 
15.2%
Close Punctuation 492
 
3.4%
Open Punctuation 492
 
3.4%
Other Punctuation 445
 
3.1%
Dash Punctuation 57
 
0.4%
Uppercase Letter 18
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1060
 
12.7%
수 623
 
7.4%
성 608
 
7.3%
동 607
 
7.2%
대 591
 
7.1%
시 515
 
6.1%
광 477
 
5.7%
로 477
 
5.7%
역 473
 
5.6%
층 246
 
2.9%
Other values (176) 2697
32.2%
Decimal Number
ValueCountFrequency (%)
1 462
21.0%
2 366
16.6%
3 272
12.3%
4 223
10.1%
0 196
8.9%
5 172
 
7.8%
6 150
 
6.8%
9 135
 
6.1%
8 121
 
5.5%
7 108
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 7
38.9%
A 3
16.7%
G 2
 
11.1%
C 2
 
11.1%
S 1
 
5.6%
K 1
 
5.6%
P 1
 
5.6%
T 1
 
5.6%
Space Separator
ValueCountFrequency (%)
2398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 492
100.0%
Open Punctuation
ValueCountFrequency (%)
( 492
100.0%
Other Punctuation
ValueCountFrequency (%)
, 445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8374
57.8%
Common 6091
42.1%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1060
 
12.7%
수 623
 
7.4%
성 608
 
7.3%
동 607
 
7.2%
대 591
 
7.1%
시 515
 
6.1%
광 477
 
5.7%
로 477
 
5.7%
역 473
 
5.6%
층 246
 
2.9%
Other values (176) 2697
32.2%
Common
ValueCountFrequency (%)
2398
39.4%
) 492
 
8.1%
( 492
 
8.1%
1 462
 
7.6%
, 445
 
7.3%
2 366
 
6.0%
3 272
 
4.5%
4 223
 
3.7%
0 196
 
3.2%
5 172
 
2.8%
Other values (6) 573
 
9.4%
Latin
ValueCountFrequency (%)
B 7
38.9%
A 3
16.7%
G 2
 
11.1%
C 2
 
11.1%
S 1
 
5.6%
K 1
 
5.6%
P 1
 
5.6%
T 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8374
57.8%
ASCII 6109
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2398
39.3%
) 492
 
8.1%
( 492
 
8.1%
1 462
 
7.6%
, 445
 
7.3%
2 366
 
6.0%
3 272
 
4.5%
4 223
 
3.7%
0 196
 
3.2%
5 172
 
2.8%
Other values (14) 591
 
9.7%
Hangul
ValueCountFrequency (%)
구 1060
 
12.7%
수 623
 
7.4%
성 608
 
7.3%
동 607
 
7.2%
대 591
 
7.1%
시 515
 
6.1%
광 477
 
5.7%
로 477
 
5.7%
역 473
 
5.6%
층 246
 
2.9%
Other values (176) 2697
32.2%

시설전화번호
Text

MISSING 

Distinct410
Distinct (%)97.6%
Missing53
Missing (%)11.2%
Memory size3.8 KiB
2024-04-21T17:20:26.935814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011905
Min length12

Characters and Unicode

Total characters5045
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

Unique400 ?
Unique (%)95.2%

Sample

1st row053-766-8888
2nd row053-767-7400
3rd row053-745-7333
4th row053-741-7788
5th row053-793-6453
ValueCountFrequency (%)
053-794-0775 2
 
0.5%
053-784-0754 2
 
0.5%
053-781-1000 2
 
0.5%
053-791-4820 2
 
0.5%
053-791-4200 2
 
0.5%
053-742-0814 2
 
0.5%
053-746-3500 2
 
0.5%
053-745-7333 2
 
0.5%
053-754-7744 2
 
0.5%
053-793-5877 2
 
0.5%
Other values (400) 400
95.2%
2024-04-21T17:20:27.977750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 840
16.7%
0 710
14.1%
5 705
14.0%
3 668
13.2%
7 621
12.3%
6 281
 
5.6%
4 258
 
5.1%
2 253
 
5.0%
8 249
 
4.9%
1 238
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4205
83.3%
Dash Punctuation 840
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 710
16.9%
5 705
16.8%
3 668
15.9%
7 621
14.8%
6 281
 
6.7%
4 258
 
6.1%
2 253
 
6.0%
8 249
 
5.9%
1 238
 
5.7%
9 222
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 840
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 840
16.7%
0 710
14.1%
5 705
14.0%
3 668
13.2%
7 621
12.3%
6 281
 
5.6%
4 258
 
5.1%
2 253
 
5.0%
8 249
 
4.9%
1 238
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 840
16.7%
0 710
14.1%
5 705
14.0%
3 668
13.2%
7 621
12.3%
6 281
 
5.6%
4 258
 
5.1%
2 253
 
5.0%
8 249
 
4.9%
1 238
 
4.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2018-08-14
473 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-14
2nd row2018-08-14
3rd row2018-08-14
4th row2018-08-14
5th row2018-08-14

Common Values

ValueCountFrequency (%)
2018-08-14 473
100.0%

Length

2024-04-21T17:20:28.195394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:20:28.351741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-14 473
100.0%

Missing values

2024-04-21T17:20:18.718676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T17:20:18.902818image/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.
2024-04-21T17:20:19.058650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종상호시설주소(지번)시설주소(도로명)시설전화번호데이터기준일자
0수영장업효성스포츠빌덕원수영장대구광역시 수성구 욱수동 81번지대구광역시 수성구 욱수길 37 (욱수동, 덕원고등학교,덕원중학교)053-766-88882018-08-14
1수영장업수성수영장대구광역시 수성구 상동 89-2번지 수성초등학교 지하1층대구광역시 수성구 상화로5길 40, 지하층 (상동, 대구수성초등학교)053-767-74002018-08-14
2수영장업(주)씨유컴퍼니 아쿠아키즈(범어)대구광역시 수성구 범어동 171-4번지대구광역시 수성구 달구벌대로 2491 (범어동)053-745-73332018-08-14
3수영장업P&S 수영장대구광역시 수성구 만촌동 426-11번지대구광역시 수성구 만촌로 101 (만촌동)053-741-77882018-08-14
4수영장업월드스포츠스쿨 아쿠아센터대구광역시 수성구 사월동 550-3번지대구광역시 수성구 달구벌대로669길 40 (사월동)053-793-64532018-08-14
5수영장업리틀아레나대구광역시 수성구 신매동 567번지대구광역시 수성구 달구벌대로 3188 (신매동)053-794-00152018-08-14
6수영장업마린슐레대구광역시 수성구 지산동 945번지대구광역시 수성구 동대구로 102 (지산동)053-743-00222018-08-14
7수영장업주식회사 씨유대구광역시 수성구 수성동3가 57번지대구광역시 수성구 명덕로 455, 지하1층 102호 (수성동3가, 수성3가롯데캐슬아파트)053-745-73332018-08-14
8체육도장업계명대대구태권도체육관대구광역시 수성구 만촌동 857-57번지대구광역시 수성구 교학로 14, 3층 (만촌동)053-743-70362018-08-14
9체육도장업영남대 석사 다힘(태권도)대구광역시 수성구 중동 97-5번지대구광역시 수성구 수성로 226 (중동)053-764-52462018-08-14
업종상호시설주소(지번)시설주소(도로명)시설전화번호데이터기준일자
463무도학원업태능무도학원대구광역시 수성구 수성동2가 62-1번지대구광역시 수성구 명덕로 428 (수성동2가)053-765-53672018-08-14
464무도학원업뉴황제무도학원대구광역시 수성구 지산동 1288-30번지대구광역시 수성구 지범로 183 (지산동, 시티월드)<NA>2018-08-14
465빙상장업수성 스케이트장대구광역시 수성구 상동 725번지대구광역시 수성구 용학로 35-5 (상동, 수성랜드)053-765-13002018-08-14
466종합체육시설업유성스포츠프라자대구광역시 수성구 범어동 1801번지대구광역시 수성구 국채보상로 826 (범어동)053-753-00222018-08-14
467종합체육시설업(주)선영 선 스포츠프라자대구광역시 수성구 범어동 332번지대구광역시 수성구 범어로 9 (범어동)053-751-55002018-08-14
468종합체육시설업동아스포츠센터대구광역시 수성구 지산동 1160-74번지대구광역시 수성구 지범로 59 (지산동)053-780-21132018-08-14
469종합체육시설업인터불고 휘트니스대구광역시 수성구 만촌동 산 92-1번지대구광역시 수성구 팔현길 212 (만촌동)053-602-71142018-08-14
470종합체육시설업휘트니스센터 제드대구광역시 수성구 범어동 179번지대구광역시 수성구 달구벌대로 2435 (범어동)053-740-76002018-08-14
471종합체육시설업라온 휘트니스 센터대구광역시 수성구 범어동 805-4번지대구광역시 수성구 범어천로 73 (범어동, 호텔 라온제나)053-761-99002018-08-14
472종합체육시설업트럼프 스포츠대구광역시 수성구 두산동 105번지대구광역시 수성구 동대구로 59, C동 B3호 (두산동, 대우트럼프월드수성아파트)053-761-42002018-08-14