Overview

Dataset statistics

Number of variables7
Number of observations145
Missing cells16
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory56.9 B

Variable types

Categorical4
Text3

Dataset

Description충청북도 음성군의 관내 체육시설업(태권도, 검도, 권투, 합기도, 골프 등) 상호, 시설주소 등을 안내하는 공공데이터입니다.
URLhttps://www.data.go.kr/data/15075284/fileData.do

Alerts

기준일자 has constant value ""Constant
체육도장업상세분류 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 체육도장업상세분류High correlation
체육도장업상세분류 is highly imbalanced (57.6%)Imbalance
소재지 지번주소 has 16 (11.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:02:39.700945
Analysis finished2023-12-12 12:02:40.306526
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
당구장업
49 
체육도장업
29 
골프연습장업
23 
체력단련장업
23 
가상체험 체육시설업
16 
Other values (4)
5 

Length

Max length10
Median length7
Mean length5.537931
Min length4

Unique

Unique3 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 49
33.8%
체육도장업 29
20.0%
골프연습장업 23
15.9%
체력단련장업 23
15.9%
가상체험 체육시설업 16
 
11.0%
무도학원업 2
 
1.4%
수영장업 1
 
0.7%
종합체육시설업 1
 
0.7%
체육교습업 1
 
0.7%

Length

2023-12-12T21:02:40.399050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:02:40.523302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 49
30.4%
체육도장업 29
18.0%
골프연습장업 23
14.3%
체력단련장업 23
14.3%
가상체험 16
 
9.9%
체육시설업 16
 
9.9%
무도학원업 2
 
1.2%
수영장업 1
 
0.6%
종합체육시설업 1
 
0.6%
체육교습업 1
 
0.6%

상호명
Text

Distinct143
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T21:02:40.787620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.9724138
Min length3

Characters and Unicode

Total characters1156
Distinct characters254
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

Unique141 ?
Unique (%)97.2%

Sample

1st row맹동혁신 국민체육센터(수영장)
2nd row용인대삼성태권도장
3rd row고려대한국체육도장
4th rowIG복싱클럽
5th row인천체대 태권도 생극 정도장
ValueCountFrequency (%)
태권도 6
 
2.8%
골프존파크 5
 
2.3%
당구클럽 4
 
1.9%
당구장 4
 
1.9%
용인대 3
 
1.4%
휘트니스 2
 
0.9%
톨게이트 2
 
0.9%
sg스크린골프 2
 
0.9%
합기도 2
 
0.9%
용인대삼성태권도장 2
 
0.9%
Other values (176) 181
85.0%
2023-12-12T21:02:41.164168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
5.9%
장 46
 
4.0%
구 46
 
4.0%
스 45
 
3.9%
당 44
 
3.8%
프 35
 
3.0%
골 31
 
2.7%
럽 28
 
2.4%
클 28
 
2.4%
도 27
 
2.3%
Other values (244) 758
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 957
82.8%
Uppercase Letter 83
 
7.2%
Space Separator 68
 
5.9%
Lowercase Letter 31
 
2.7%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Other Punctuation 4
 
0.3%
Decimal Number 3
 
0.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 46
 
4.8%
구 46
 
4.8%
스 45
 
4.7%
당 44
 
4.6%
프 35
 
3.7%
골 31
 
3.2%
럽 28
 
2.9%
클 28
 
2.9%
도 27
 
2.8%
크 26
 
2.7%
Other values (198) 601
62.8%
Uppercase Letter
ValueCountFrequency (%)
G 9
 
10.8%
S 7
 
8.4%
T 6
 
7.2%
K 6
 
7.2%
P 6
 
7.2%
O 5
 
6.0%
N 4
 
4.8%
I 4
 
4.8%
A 4
 
4.8%
E 4
 
4.8%
Other values (13) 28
33.7%
Lowercase Letter
ValueCountFrequency (%)
r 4
12.9%
o 4
12.9%
e 4
12.9%
m 3
9.7%
s 3
9.7%
t 2
 
6.5%
y 2
 
6.5%
a 2
 
6.5%
k 1
 
3.2%
d 1
 
3.2%
Other values (5) 5
16.1%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 957
82.8%
Latin 114
 
9.9%
Common 85
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 46
 
4.8%
구 46
 
4.8%
스 45
 
4.7%
당 44
 
4.6%
프 35
 
3.7%
골 31
 
3.2%
럽 28
 
2.9%
클 28
 
2.9%
도 27
 
2.8%
크 26
 
2.7%
Other values (198) 601
62.8%
Latin
ValueCountFrequency (%)
G 9
 
7.9%
S 7
 
6.1%
T 6
 
5.3%
K 6
 
5.3%
P 6
 
5.3%
O 5
 
4.4%
N 4
 
3.5%
r 4
 
3.5%
o 4
 
3.5%
I 4
 
3.5%
Other values (28) 59
51.8%
Common
ValueCountFrequency (%)
68
80.0%
) 4
 
4.7%
( 4
 
4.7%
& 3
 
3.5%
2 2
 
2.4%
- 2
 
2.4%
. 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 957
82.8%
ASCII 199
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
34.2%
G 9
 
4.5%
S 7
 
3.5%
T 6
 
3.0%
K 6
 
3.0%
P 6
 
3.0%
O 5
 
2.5%
N 4
 
2.0%
r 4
 
2.0%
o 4
 
2.0%
Other values (36) 80
40.2%
Hangul
ValueCountFrequency (%)
장 46
 
4.8%
구 46
 
4.8%
스 45
 
4.7%
당 44
 
4.6%
프 35
 
3.7%
골 31
 
3.2%
럽 28
 
2.9%
클 28
 
2.9%
도 27
 
2.8%
크 26
 
2.7%
Other values (198) 601
62.8%

소재지 지번주소
Text

MISSING 

Distinct116
Distinct (%)89.9%
Missing16
Missing (%)11.0%
Memory size1.3 KiB
2023-12-12T21:02:41.452658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length23.286822
Min length19

Characters and Unicode

Total characters3004
Distinct characters93
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

Unique104 ?
Unique (%)80.6%

Sample

1st row충청북도 음성군 맹동면 동성리 486
2nd row충청북도 음성군 삼성면 덕정리 527-5
3rd row충청북도 음성군 음성읍 읍내리 333-23
4th row충청북도 음성군 금왕읍 무극리 551-61
5th row충청북도 음성군 생극면 신양리 444-13
ValueCountFrequency (%)
충청북도 129
19.5%
음성군 129
19.5%
금왕읍 34
 
5.2%
대소면 29
 
4.4%
맹동면 27
 
4.1%
무극리 27
 
4.1%
두성리 16
 
2.4%
음성읍 16
 
2.4%
감곡면 14
 
2.1%
읍내리 12
 
1.8%
Other values (149) 227
34.4%
2023-12-12T21:02:41.914447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
659
21.9%
성 181
 
6.0%
음 147
 
4.9%
충 130
 
4.3%
북 130
 
4.3%
도 130
 
4.3%
군 130
 
4.3%
청 129
 
4.3%
리 128
 
4.3%
1 116
 
3.9%
Other values (83) 1124
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1739
57.9%
Space Separator 659
 
21.9%
Decimal Number 515
 
17.1%
Dash Punctuation 86
 
2.9%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 181
 
10.4%
음 147
 
8.5%
충 130
 
7.5%
북 130
 
7.5%
도 130
 
7.5%
군 130
 
7.5%
청 129
 
7.4%
리 128
 
7.4%
면 79
 
4.5%
읍 62
 
3.6%
Other values (66) 493
28.3%
Decimal Number
ValueCountFrequency (%)
1 116
22.5%
4 70
13.6%
5 63
12.2%
2 63
12.2%
3 46
 
8.9%
7 38
 
7.4%
6 37
 
7.2%
0 36
 
7.0%
8 30
 
5.8%
9 16
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
659
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1739
57.9%
Common 1263
42.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 181
 
10.4%
음 147
 
8.5%
충 130
 
7.5%
북 130
 
7.5%
도 130
 
7.5%
군 130
 
7.5%
청 129
 
7.4%
리 128
 
7.4%
면 79
 
4.5%
읍 62
 
3.6%
Other values (66) 493
28.3%
Common
ValueCountFrequency (%)
659
52.2%
1 116
 
9.2%
- 86
 
6.8%
4 70
 
5.5%
5 63
 
5.0%
2 63
 
5.0%
3 46
 
3.6%
7 38
 
3.0%
6 37
 
2.9%
0 36
 
2.9%
Other values (5) 49
 
3.9%
Latin
ValueCountFrequency (%)
R 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1739
57.9%
ASCII 1265
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
659
52.1%
1 116
 
9.2%
- 86
 
6.8%
4 70
 
5.5%
5 63
 
5.0%
2 63
 
5.0%
3 46
 
3.6%
7 38
 
3.0%
6 37
 
2.9%
0 36
 
2.8%
Other values (7) 51
 
4.0%
Hangul
ValueCountFrequency (%)
성 181
 
10.4%
음 147
 
8.5%
충 130
 
7.5%
북 130
 
7.5%
도 130
 
7.5%
군 130
 
7.5%
청 129
 
7.4%
리 128
 
7.4%
면 79
 
4.5%
읍 62
 
3.6%
Other values (66) 493
28.3%

소재지 도로명주소
Text

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T21:02:42.246659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length24.648276
Min length19

Characters and Unicode

Total characters3574
Distinct characters112
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

Unique139 ?
Unique (%)95.9%

Sample

1st row충청북도 음성군 맹동면 학예로 14
2nd row충청북도 음성군 삼성면 덕정로 38
3rd row충청북도 음성군 음성읍 시장로 78
4th row충청북도 음성군 금왕읍 대금로 1413-7 2층
5th row충청북도 음성군 생극면 음성로 1642
ValueCountFrequency (%)
충청북도 145
17.1%
음성군 145
17.1%
2층 40
 
4.7%
금왕읍 36
 
4.3%
맹동면 35
 
4.1%
대소면 30
 
3.5%
3층 21
 
2.5%
음성읍 18
 
2.1%
감곡면 15
 
1.8%
대금로 11
 
1.3%
Other values (202) 351
41.4%
2023-12-12T21:02:42.731201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
784
21.9%
성 195
 
5.5%
음 173
 
4.8%
군 146
 
4.1%
충 145
 
4.1%
청 145
 
4.1%
북 145
 
4.1%
도 145
 
4.1%
2 119
 
3.3%
1 118
 
3.3%
Other values (102) 1459
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2133
59.7%
Space Separator 784
 
21.9%
Decimal Number 608
 
17.0%
Dash Punctuation 26
 
0.7%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Uppercase Letter 6
 
0.2%
Math Symbol 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 195
 
9.1%
음 173
 
8.1%
군 146
 
6.8%
충 145
 
6.8%
청 145
 
6.8%
북 145
 
6.8%
도 145
 
6.8%
로 118
 
5.5%
면 91
 
4.3%
층 77
 
3.6%
Other values (84) 753
35.3%
Decimal Number
ValueCountFrequency (%)
2 119
19.6%
1 118
19.4%
3 68
11.2%
4 60
9.9%
5 54
8.9%
0 52
8.6%
6 39
 
6.4%
8 39
 
6.4%
7 33
 
5.4%
9 26
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
K 3
50.0%
Space Separator
ValueCountFrequency (%)
784
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2133
59.7%
Common 1435
40.2%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 195
 
9.1%
음 173
 
8.1%
군 146
 
6.8%
충 145
 
6.8%
청 145
 
6.8%
북 145
 
6.8%
도 145
 
6.8%
로 118
 
5.5%
면 91
 
4.3%
층 77
 
3.6%
Other values (84) 753
35.3%
Common
ValueCountFrequency (%)
784
54.6%
2 119
 
8.3%
1 118
 
8.2%
3 68
 
4.7%
4 60
 
4.2%
5 54
 
3.8%
0 52
 
3.6%
6 39
 
2.7%
8 39
 
2.7%
7 33
 
2.3%
Other values (6) 69
 
4.8%
Latin
ValueCountFrequency (%)
B 3
50.0%
K 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2133
59.7%
ASCII 1441
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
784
54.4%
2 119
 
8.3%
1 118
 
8.2%
3 68
 
4.7%
4 60
 
4.2%
5 54
 
3.7%
0 52
 
3.6%
6 39
 
2.7%
8 39
 
2.7%
7 33
 
2.3%
Other values (8) 75
 
5.2%
Hangul
ValueCountFrequency (%)
성 195
 
9.1%
음 173
 
8.1%
군 146
 
6.8%
충 145
 
6.8%
청 145
 
6.8%
북 145
 
6.8%
도 145
 
6.8%
로 118
 
5.5%
면 91
 
4.3%
층 77
 
3.6%
Other values (84) 753
35.3%

실내여부
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
실내
112 
실외
33 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실내 112
77.2%
실외 33
 
22.8%

Length

2023-12-12T21:02:42.872675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:02:42.972884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내 112
77.2%
실외 33
 
22.8%

체육도장업상세분류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
114 
골프종목
15 
태권도
 
6
합기도
 
5
권투
 
2
Other values (2)
 
3

Length

Max length4
Median length4
Mean length3.8689655
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 114
78.6%
골프종목 15
 
10.3%
태권도 6
 
4.1%
합기도 5
 
3.4%
권투 2
 
1.4%
유도 2
 
1.4%
야구종목 1
 
0.7%

Length

2023-12-12T21:02:43.099262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:02:43.231659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
78.6%
골프종목 15
 
10.3%
태권도 6
 
4.1%
합기도 5
 
3.4%
권투 2
 
1.4%
유도 2
 
1.4%
야구종목 1
 
0.7%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-05-02
145 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-02
2nd row2023-05-02
3rd row2023-05-02
4th row2023-05-02
5th row2023-05-02

Common Values

ValueCountFrequency (%)
2023-05-02 145
100.0%

Length

2023-12-12T21:02:43.376137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:02:43.500100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-02 145
100.0%

Correlations

2023-12-12T21:02:43.568856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종실내여부체육도장업상세분류
업종1.0000.2371.000
실내여부0.2371.0000.626
체육도장업상세분류1.0000.6261.000
2023-12-12T21:02:43.754318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체육도장업상세분류실내여부업종
체육도장업상세분류1.0000.4180.928
실내여부0.4181.0000.230
업종0.9280.2301.000
2023-12-12T21:02:43.880955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종실내여부체육도장업상세분류
업종1.0000.2300.928
실내여부0.2301.0000.418
체육도장업상세분류0.9280.4181.000

Missing values

2023-12-12T21:02:40.099849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:02:40.242910image/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

업종상호명소재지 지번주소소재지 도로명주소실내여부체육도장업상세분류기준일자
0수영장업맹동혁신 국민체육센터(수영장)충청북도 음성군 맹동면 동성리 486충청북도 음성군 맹동면 학예로 14실내<NA>2023-05-02
1체육도장업용인대삼성태권도장충청북도 음성군 삼성면 덕정리 527-5충청북도 음성군 삼성면 덕정로 38실내<NA>2023-05-02
2체육도장업고려대한국체육도장충청북도 음성군 음성읍 읍내리 333-23충청북도 음성군 음성읍 시장로 78실내<NA>2023-05-02
3체육도장업IG복싱클럽충청북도 음성군 금왕읍 무극리 551-61충청북도 음성군 금왕읍 대금로 1413-7 2층실내<NA>2023-05-02
4체육도장업인천체대 태권도 생극 정도장충청북도 음성군 생극면 신양리 444-13충청북도 음성군 생극면 음성로 1642실내<NA>2023-05-02
5체육도장업경희대상승코리아 태권도충청북도 음성군 감곡면 오향리 514-3충청북도 음성군 감곡면 가곡로 3-2실외<NA>2023-05-02
6체육도장업용인대대소체육관충청북도 음성군 대소면 오산리 189-8충청북도 음성군 대소면 오산로 32실내<NA>2023-05-02
7체육도장업최강용인대 태권도장(금왕)충청북도 음성군 금왕읍 243-6충청북도 음성군 금왕읍 무극로278번길 5 (2층)실내<NA>2023-05-02
8체육도장업석사승무체육관충청북도 음성군 대소면 오산리 193-2충청북도 음성군 대소면 오산로14번길 3-11 1호실내<NA>2023-05-02
9체육도장업최강한양대 체육관충청북도 음성군 음성읍 읍내리 348-24충청북도 음성군 음성읍 시장로 43실내<NA>2023-05-02
업종상호명소재지 지번주소소재지 도로명주소실내여부체육도장업상세분류기준일자
135가상체험 체육시설업골프존파크 맹동 코뚜레스크린충청북도 음성군 맹동면 동성리 481충청북도 음성군 맹동면 사예1길 7 2층실내골프종목2023-05-02
136가상체험 체육시설업골프존파크 금왕 포레스트충청북도 음성군 금왕읍 금석리 368-4충청북도 음성군 금왕읍 돌머루길 15실내골프종목2023-05-02
137가상체험 체육시설업준골프아카데미충청북도 음성군 금왕읍 무극리 574-1충청북도 음성군 금왕읍 대금로 1356 2층실내골프종목2023-05-02
138가상체험 체육시설업골프존파크GDR코뚜레점충청북도 음성군 맹동면 동성리 481충청북도 음성군 맹동면 사예1길 7 3층실내골프종목2023-05-02
139가상체험 체육시설업거성골프연습장충청북도 음성군 맹동면 두성리 1494충청북도 음성군 맹동면 장성로 67 2층실내골프종목2023-05-02
140가상체험 체육시설업골프존파크 금왕 영스크린충청북도 음성군 금왕읍 무극리 514-21충청북도 음성군 금왕읍 무극로 238 4층실외골프종목2023-05-02
141가상체험 체육시설업프렌즈스크린 혁신베스트타워점충청북도 음성군 맹동면 두성리 1362 베스트타워충청북도 음성군 맹동면 대하4길 10 베스트타워 3층실외골프종목2023-05-02
142가상체험 체육시설업맹동마운틴뷰충청북도 음성군 맹동면 신돈리 산 21-2충청북도 음성군 맹동면 덕금로 15 2층실외골프종목2023-05-02
143가상체험 체육시설업골프존파크 금왕베스트충청북도 음성군 금왕읍 무극리 64-15충청북도 음성군 금왕읍 응천서길27번길 14 2층실외골프종목2023-05-02
144체육교습업최강유소년축구센터충청북도 음성군 맹동면 동성리 479충청북도 음성군 맹동면 사예로 52 2층실외<NA>2023-05-02