Overview

Dataset statistics

Number of variables6
Number of observations207
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory48.6 B

Variable types

Text4
Categorical2

Dataset

Description서울올림픽기념국민체육진흥공단 우수체육용구 생산업체 목록(업체명, 품목명, 지정기간, 담당자, 대표자명, 주소)입니다.
Author서울올림픽기념국민체육진흥공단
URLhttps://www.data.go.kr/data/15044469/fileData.do

Alerts

지정기간 종료일 is highly overall correlated with 지정기간 시작일High correlation
지정기간 시작일 is highly overall correlated with 지정기간 종료일High correlation

Reproduction

Analysis started2023-12-12 15:44:06.857043
Analysis finished2023-12-12 15:44:07.836293
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct92
Distinct (%)44.7%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2023-12-13T00:44:08.020336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.7184466
Min length2

Characters and Unicode

Total characters1384
Distinct characters174
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)30.1%

Sample

1st rowILB
2nd row㈜낫소골프
3rd row윈엔윈(주)
4th row윈엔윈(주)
5th row풍국레포츠
ValueCountFrequency (%)
현대체육산업㈜ 20
 
9.4%
대우스포츠산업(주 17
 
8.0%
동화체육(주 12
 
5.6%
한아스포츠 11
 
5.2%
주)트랑고 7
 
3.3%
신신상사(주 7
 
3.3%
주식회사 6
 
2.8%
대성체육산업 5
 
2.3%
풍국레포츠 5
 
2.3%
광신스포츠 5
 
2.3%
Other values (84) 118
55.4%
2023-12-13T00:44:08.397411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 82
 
5.9%
㈜ 72
 
5.2%
주 71
 
5.1%
) 63
 
4.6%
( 62
 
4.5%
포 58
 
4.2%
산 53
 
3.8%
츠 53
 
3.8%
업 52
 
3.8%
대 46
 
3.3%
Other values (164) 772
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1155
83.5%
Other Symbol 72
 
5.2%
Close Punctuation 63
 
4.6%
Open Punctuation 62
 
4.5%
Space Separator 27
 
2.0%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 82
 
7.1%
주 71
 
6.1%
포 58
 
5.0%
산 53
 
4.6%
츠 53
 
4.6%
업 52
 
4.5%
대 46
 
4.0%
체 41
 
3.5%
육 41
 
3.5%
신 26
 
2.3%
Other values (154) 632
54.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
20.0%
O 1
20.0%
P 1
20.0%
L 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
　 20
74.1%
7
 
25.9%
Other Symbol
ValueCountFrequency (%)
㈜ 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1227
88.7%
Common 152
 
11.0%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 82
 
6.7%
㈜ 72
 
5.9%
주 71
 
5.8%
포 58
 
4.7%
산 53
 
4.3%
츠 53
 
4.3%
업 52
 
4.2%
대 46
 
3.7%
체 41
 
3.3%
육 41
 
3.3%
Other values (155) 658
53.6%
Latin
ValueCountFrequency (%)
I 1
20.0%
O 1
20.0%
P 1
20.0%
L 1
20.0%
B 1
20.0%
Common
ValueCountFrequency (%)
) 63
41.4%
( 62
40.8%
　 20
 
13.2%
7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1155
83.5%
ASCII 137
 
9.9%
None 92
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 82
 
7.1%
주 71
 
6.1%
포 58
 
5.0%
산 53
 
4.6%
츠 53
 
4.6%
업 52
 
4.5%
대 46
 
4.0%
체 41
 
3.5%
육 41
 
3.5%
신 26
 
2.3%
Other values (154) 632
54.7%
None
ValueCountFrequency (%)
㈜ 72
78.3%
　 20
 
21.7%
ASCII
ValueCountFrequency (%)
) 63
46.0%
( 62
45.3%
7
 
5.1%
I 1
 
0.7%
O 1
 
0.7%
P 1
 
0.7%
L 1
 
0.7%
B 1
 
0.7%

품목명
Text

Distinct145
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T00:44:08.740262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length4.9903382
Min length2

Characters and Unicode

Total characters1033
Distinct characters220
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

Unique115 ?
Unique (%)55.6%

Sample

1st row야구공(MA_100K)
2nd row골프공
3rd row양궁활
4th row자전거
5th row허들
ValueCountFrequency (%)
농구대 11
 
5.0%
축구골대 6
 
2.7%
배구지주 5
 
2.3%
허들 5
 
2.3%
인공홀드 5
 
2.3%
전동식러닝머신 4
 
1.8%
인조잔디 4
 
1.8%
인공패널 3
 
1.4%
체력단련기구 3
 
1.4%
배드민턴지주 3
 
1.4%
Other values (143) 170
77.6%
2023-12-13T00:44:09.260320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 71
 
6.9%
기 37
 
3.6%
대 34
 
3.3%
이 31
 
3.0%
지 21
 
2.0%
배 20
 
1.9%
스 19
 
1.8%
체 19
 
1.8%
주 19
 
1.8%
공 18
 
1.7%
Other values (210) 744
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 992
96.0%
Space Separator 13
 
1.3%
Open Punctuation 7
 
0.7%
Close Punctuation 7
 
0.7%
Decimal Number 7
 
0.7%
Uppercase Letter 5
 
0.5%
Connector Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 71
 
7.2%
기 37
 
3.7%
대 34
 
3.4%
이 31
 
3.1%
지 21
 
2.1%
배 20
 
2.0%
스 19
 
1.9%
체 19
 
1.9%
주 19
 
1.9%
공 18
 
1.8%
Other values (197) 703
70.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
A 1
20.0%
M 1
20.0%
C 1
20.0%
S 1
20.0%
Decimal Number
ValueCountFrequency (%)
0 5
71.4%
1 1
 
14.3%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 992
96.0%
Common 36
 
3.5%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 71
 
7.2%
기 37
 
3.7%
대 34
 
3.4%
이 31
 
3.1%
지 21
 
2.1%
배 20
 
2.0%
스 19
 
1.9%
체 19
 
1.9%
주 19
 
1.9%
공 18
 
1.8%
Other values (197) 703
70.9%
Common
ValueCountFrequency (%)
13
36.1%
( 7
19.4%
) 7
19.4%
0 5
 
13.9%
1 1
 
2.8%
_ 1
 
2.8%
3 1
 
2.8%
/ 1
 
2.8%
Latin
ValueCountFrequency (%)
K 1
20.0%
A 1
20.0%
M 1
20.0%
C 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 992
96.0%
ASCII 41
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 71
 
7.2%
기 37
 
3.7%
대 34
 
3.4%
이 31
 
3.1%
지 21
 
2.1%
배 20
 
2.0%
스 19
 
1.9%
체 19
 
1.9%
주 19
 
1.9%
공 18
 
1.8%
Other values (197) 703
70.9%
ASCII
ValueCountFrequency (%)
13
31.7%
( 7
17.1%
) 7
17.1%
0 5
 
12.2%
K 1
 
2.4%
1 1
 
2.4%
A 1
 
2.4%
_ 1
 
2.4%
M 1
 
2.4%
C 1
 
2.4%
Other values (3) 3
 
7.3%

지정기간 시작일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2018-01-09
53 
2017-01-01
38 
2020-01-01
37 
2019-01-01
20 
2019-07-01
17 
Other values (5)
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row2017-07-01
2nd row2019-07-01
3rd row2019-07-01
4th row2019-07-01
5th row2019-07-01

Common Values

ValueCountFrequency (%)
2018-01-09 53
25.6%
2017-01-01 38
18.4%
2020-01-01 37
17.9%
2019-01-01 20
 
9.7%
2019-07-01 17
 
8.2%
2020-07-01 15
 
7.2%
2018-07-01 12
 
5.8%
2017-07-01 9
 
4.3%
2018-02-05 5
 
2.4%
2016-07-01 1
 
0.5%

Length

2023-12-13T00:44:09.406245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:09.575575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-01-09 53
25.6%
2017-01-01 38
18.4%
2020-01-01 37
17.9%
2019-01-01 20
 
9.7%
2019-07-01 17
 
8.2%
2020-07-01 15
 
7.2%
2018-07-01 12
 
5.8%
2017-07-01 9
 
4.3%
2018-02-05 5
 
2.4%
2016-07-01 1
 
0.5%

지정기간 종료일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2022-01-08
53 
2020-12-31
38 
2023-12-31
37 
2022-12-31
20 
2023-06-30
17 
Other values (5)
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row2021-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2022-01-08 53
25.6%
2020-12-31 38
18.4%
2023-12-31 37
17.9%
2022-12-31 20
 
9.7%
2023-06-30 17
 
8.2%
2024-06-30 15
 
7.2%
2022-06-30 12
 
5.8%
2021-06-30 9
 
4.3%
2022-02-04 5
 
2.4%
2020-06-30 1
 
0.5%

Length

2023-12-13T00:44:09.741749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:09.882936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-01-08 53
25.6%
2020-12-31 38
18.4%
2023-12-31 37
17.9%
2022-12-31 20
 
9.7%
2023-06-30 17
 
8.2%
2024-06-30 15
 
7.2%
2022-06-30 12
 
5.8%
2021-06-30 9
 
4.3%
2022-02-04 5
 
2.4%
2020-06-30 1
 
0.5%

대표자명
Text

Distinct92
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T00:44:10.219142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1884058
Min length2

Characters and Unicode

Total characters660
Distinct characters113
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)29.5%

Sample

1st row김영산
2nd row송철호
3rd row박경래
4th row박경래
5th row김정환
ValueCountFrequency (%)
신광식 20
 
9.7%
김지성 17
 
8.2%
김주한 12
 
5.8%
김명식 11
 
5.3%
안근환 7
 
3.4%
정승준 7
 
3.4%
조성운 5
 
2.4%
김정환 5
 
2.4%
남기석 5
 
2.4%
오규영 4
 
1.9%
Other values (82) 114
55.1%
2023-12-13T00:44:10.650944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 65
 
9.8%
식 36
 
5.5%
성 25
 
3.8%
신 23
 
3.5%
정 22
 
3.3%
광 22
 
3.3%
　 20
 
3.0%
지 20
 
3.0%
이 18
 
2.7%
주 17
 
2.6%
Other values (103) 392
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 635
96.2%
Space Separator 20
 
3.0%
Other Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 65
 
10.2%
식 36
 
5.7%
성 25
 
3.9%
신 23
 
3.6%
정 22
 
3.5%
광 22
 
3.5%
지 20
 
3.1%
이 18
 
2.8%
주 17
 
2.7%
한 17
 
2.7%
Other values (101) 370
58.3%
Space Separator
ValueCountFrequency (%)
　 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 635
96.2%
Common 25
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 65
 
10.2%
식 36
 
5.7%
성 25
 
3.9%
신 23
 
3.6%
정 22
 
3.5%
광 22
 
3.5%
지 20
 
3.1%
이 18
 
2.8%
주 17
 
2.7%
한 17
 
2.7%
Other values (101) 370
58.3%
Common
ValueCountFrequency (%)
　 20
80.0%
, 5
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 635
96.2%
None 20
 
3.0%
ASCII 5
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 65
 
10.2%
식 36
 
5.7%
성 25
 
3.9%
신 23
 
3.6%
정 22
 
3.5%
광 22
 
3.5%
지 20
 
3.1%
이 18
 
2.8%
주 17
 
2.7%
한 17
 
2.7%
Other values (101) 370
58.3%
None
ValueCountFrequency (%)
　 20
100.0%
ASCII
ValueCountFrequency (%)
, 5
100.0%

주소
Text

Distinct92
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T00:44:10.957170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length28.710145
Min length14

Characters and Unicode

Total characters5943
Distinct characters201
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)29.5%

Sample

1st row(301-815) 대전 중구 대종로346번길 8
2nd row(361-290) 충북 청주시 흥덕구 공단로98번길 97
3rd row(456-931)경기안성시양성면동항공단길19
4th row(456-931)경기안성시양성면동항공단길19
5th row경기도 파주시 월롱면 휴암로79번길 28
ValueCountFrequency (%)
경기도 57
 
5.2%
경기 43
 
3.9%
안산시 21
 
1.9%
단원구 21
 
1.9%
425-836 20
 
1.8%
진흥로24번길 20
 
1.8%
11 20
 
1.8%
서울 20
 
1.8%
파주시 18
 
1.6%
금천구 18
 
1.6%
Other values (360) 843
76.6%
2023-12-13T00:44:11.410534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
914
 
15.4%
1 323
 
5.4%
2 232
 
3.9%
4 228
 
3.8%
로 194
 
3.3%
3 180
 
3.0%
8 172
 
2.9%
- 167
 
2.8%
0 164
 
2.8%
6 151
 
2.5%
Other values (191) 3218
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2691
45.3%
Decimal Number 1844
31.0%
Space Separator 934
 
15.7%
Dash Punctuation 167
 
2.8%
Open Punctuation 146
 
2.5%
Close Punctuation 146
 
2.5%
Other Punctuation 11
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 194
 
7.2%
시 145
 
5.4%
구 133
 
4.9%
길 119
 
4.4%
경 112
 
4.2%
기 104
 
3.9%
번 79
 
2.9%
남 72
 
2.7%
천 69
 
2.6%
동 67
 
2.5%
Other values (172) 1597
59.3%
Decimal Number
ValueCountFrequency (%)
1 323
17.5%
2 232
12.6%
4 228
12.4%
3 180
9.8%
8 172
9.3%
0 164
8.9%
6 151
8.2%
5 148
8.0%
7 144
7.8%
9 102
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
E 1
25.0%
Space Separator
ValueCountFrequency (%)
914
97.9%
　 20
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3248
54.7%
Hangul 2691
45.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 194
 
7.2%
시 145
 
5.4%
구 133
 
4.9%
길 119
 
4.4%
경 112
 
4.2%
기 104
 
3.9%
번 79
 
2.9%
남 72
 
2.7%
천 69
 
2.6%
동 67
 
2.5%
Other values (172) 1597
59.3%
Common
ValueCountFrequency (%)
914
28.1%
1 323
 
9.9%
2 232
 
7.1%
4 228
 
7.0%
3 180
 
5.5%
8 172
 
5.3%
- 167
 
5.1%
0 164
 
5.0%
6 151
 
4.6%
5 148
 
4.6%
Other values (6) 569
17.5%
Latin
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3232
54.4%
Hangul 2691
45.3%
None 20
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
914
28.3%
1 323
 
10.0%
2 232
 
7.2%
4 228
 
7.1%
3 180
 
5.6%
8 172
 
5.3%
- 167
 
5.2%
0 164
 
5.1%
6 151
 
4.7%
5 148
 
4.6%
Other values (8) 553
17.1%
Hangul
ValueCountFrequency (%)
로 194
 
7.2%
시 145
 
5.4%
구 133
 
4.9%
길 119
 
4.4%
경 112
 
4.2%
기 104
 
3.9%
번 79
 
2.9%
남 72
 
2.7%
천 69
 
2.6%
동 67
 
2.5%
Other values (172) 1597
59.3%
None
ValueCountFrequency (%)
　 20
100.0%

Correlations

2023-12-13T00:44:11.506419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명지정기간 시작일지정기간 종료일대표자명주소
업체명1.0000.9960.9961.0001.000
지정기간 시작일0.9961.0001.0000.9960.996
지정기간 종료일0.9961.0001.0000.9960.996
대표자명1.0000.9960.9961.0001.000
주소1.0000.9960.9961.0001.000
2023-12-13T00:44:11.619405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정기간 종료일지정기간 시작일
지정기간 종료일1.0001.000
지정기간 시작일1.0001.000
2023-12-13T00:44:11.706229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정기간 시작일지정기간 종료일
지정기간 시작일1.0001.000
지정기간 종료일1.0001.000

Missing values

2023-12-13T00:44:07.635111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:44:07.776749image/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

업체명품목명지정기간 시작일지정기간 종료일대표자명주소
0ILB야구공(MA_100K)2017-07-012021-06-30김영산(301-815) 대전 중구 대종로346번길 8
1㈜낫소골프골프공2019-07-012023-06-30송철호(361-290) 충북 청주시 흥덕구 공단로98번길 97
2윈엔윈(주)양궁활2019-07-012023-06-30박경래(456-931)경기안성시양성면동항공단길19
3윈엔윈(주)자전거2019-07-012023-06-30박경래(456-931)경기안성시양성면동항공단길19
4풍국레포츠허들2019-07-012023-06-30김정환경기도 파주시 월롱면 휴암로79번길 28
5풍국레포츠축구골대2020-01-012023-12-31김정환경기도 파주시 월롱면 휴암로79번길 28
6풍국레포츠농구대2017-01-012020-12-31김정환경기도 파주시 월롱면 휴암로79번길 28
7풍국레포츠어린이놀이기구2017-01-012020-12-31김정환경기도 파주시 월롱면 휴암로79번길 28
8풍국레포츠철봉2017-01-012020-12-31김정환경기도 파주시 월롱면 휴암로79번길 28
9한아스포츠허들2019-07-012023-06-30김명식(405-821) 인천 남동구 능허대로649번길 37 남동공단137블록 6로트
업체명품목명지정기간 시작일지정기간 종료일대표자명주소
197㈜제트웨이크전동제트보드2020-07-012024-06-30이중건경남 창원시 진해구 남영로 527번길 11-6
198㈜파이빅스표적지2020-07-012024-06-30백종대경기도 수원시 권선구 권선로 688번길 42
199㈜메디우키니시오테이프2020-07-012024-06-30정상진경기도 화성시 마도면 청원로 37
200㈜학산배드민턴전용화2020-07-012024-06-30이동영부산광역시 강서구 녹산산단 382로 14번길 50
201㈜학산운동화2020-07-012024-06-30이동영부산광역시 강서구 녹산산단 382로 14번길 50
202㈜플러버육상트랙2020-07-012024-06-30박종오,문연향전라남도 함평군 월야면 백야길 88-70
203더밸런스코리아근력단련보조용구2020-07-012024-06-30이정우,문양규울산광역시 중구 태화동 909-9번지 1층
204㈜다빈치프로덕츠기체2020-07-012024-06-30이지훈경기도 양평군 옥천면 신촌길 53
205㈜다빈치프로덕츠보조낙하산2020-07-012024-06-30이지훈경기도 양평군 옥천면 신촌길 53
206㈜다빈치프로덕츠하네스2020-07-012024-06-30이지훈경기도 양평군 옥천면 신촌길 53