Overview

Dataset statistics

Number of variables8
Number of observations104
Missing cells23
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory65.2 B

Variable types

Text5
DateTime1
Categorical1
Boolean1

Dataset

Description전북특별자치도 의료기기 수리업 현황(상호명, 위치, 업종 등), 전북특별자치도 소재 의료기기 수리 업소의 대표자 이름
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055671/fileData.do

Alerts

전화번호 has 23 (22.1%) missing valuesMissing
의료기기영업신고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:28:49.918540
Analysis finished2024-03-14 14:28:51.950593
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기기영업신고번호
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-14T23:28:52.498736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters2184
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

Unique104 ?
Unique (%)100.0%

Sample

1st row2011-6450000-60-00001
2nd row2011-6450000-60-00004
3rd row2011-6450000-60-00005
4th row2011-6450000-60-00007
5th row2011-6450000-60-00008
ValueCountFrequency (%)
2011-6450000-60-00001 1
 
1.0%
2011-6450000-60-00004 1
 
1.0%
2017-6450000-60-00014 1
 
1.0%
2017-6450000-60-00013 1
 
1.0%
2017-6450000-60-00012 1
 
1.0%
2017-6450000-60-00011 1
 
1.0%
2017-6450000-60-00010 1
 
1.0%
2017-6450000-60-00009 1
 
1.0%
2017-6450000-60-00008 1
 
1.0%
2017-6450000-60-00006 1
 
1.0%
Other values (94) 94
90.4%
2024-03-14T23:28:53.440588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1007
46.1%
- 312
 
14.3%
6 228
 
10.4%
1 175
 
8.0%
2 134
 
6.1%
4 127
 
5.8%
5 121
 
5.5%
9 23
 
1.1%
3 22
 
1.0%
7 18
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1872
85.7%
Dash Punctuation 312
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
53.8%
6 228
 
12.2%
1 175
 
9.3%
2 134
 
7.2%
4 127
 
6.8%
5 121
 
6.5%
9 23
 
1.2%
3 22
 
1.2%
7 18
 
1.0%
8 17
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 312
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1007
46.1%
- 312
 
14.3%
6 228
 
10.4%
1 175
 
8.0%
2 134
 
6.1%
4 127
 
5.8%
5 121
 
5.5%
9 23
 
1.1%
3 22
 
1.0%
7 18
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1007
46.1%
- 312
 
14.3%
6 228
 
10.4%
1 175
 
8.0%
2 134
 
6.1%
4 127
 
5.8%
5 121
 
5.5%
9 23
 
1.1%
3 22
 
1.0%
7 18
 
0.8%

신고일자
Date

Distinct93
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size960.0 B
Minimum2004-11-11 00:00:00
Maximum2020-08-11 00:00:00
2024-03-14T23:28:53.689003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:28:53.949166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업소명
Text

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-14T23:28:54.644806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length18
Mean length7.875
Min length3

Characters and Unicode

Total characters819
Distinct characters176
Distinct categories7 ?
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 (%)86.5%

Sample

1st row아주의료기
2nd row케어 메디칼
3rd row이강아재활사
4th row익산 한빛 치과재료상사
5th row(주)인포메디
ValueCountFrequency (%)
lg전자 4
 
3.0%
의료기 3
 
2.2%
사)전북지체장애인협회 3
 
2.2%
효도의료기 2
 
1.5%
소리샘보청기 2
 
1.5%
조은의료기 2
 
1.5%
이강아재활사 2
 
1.5%
메디칼 2
 
1.5%
전라재활사 2
 
1.5%
주)인포메디 2
 
1.5%
Other values (109) 111
82.2%
2024-03-14T23:28:55.625880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 36
 
4.4%
31
 
3.8%
전 30
 
3.7%
의 28
 
3.4%
주 28
 
3.4%
료 27
 
3.3%
( 26
 
3.2%
) 26
 
3.2%
사 23
 
2.8%
디 17
 
2.1%
Other values (166) 547
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 722
88.2%
Space Separator 31
 
3.8%
Open Punctuation 26
 
3.2%
Close Punctuation 26
 
3.2%
Uppercase Letter 12
 
1.5%
Other Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 36
 
5.0%
전 30
 
4.2%
의 28
 
3.9%
주 28
 
3.9%
료 27
 
3.7%
사 23
 
3.2%
디 17
 
2.4%
메 17
 
2.4%
지 16
 
2.2%
스 16
 
2.2%
Other values (159) 484
67.0%
Uppercase Letter
ValueCountFrequency (%)
L 6
50.0%
G 6
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 722
88.2%
Common 85
 
10.4%
Latin 12
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 36
 
5.0%
전 30
 
4.2%
의 28
 
3.9%
주 28
 
3.9%
료 27
 
3.7%
사 23
 
3.2%
디 17
 
2.4%
메 17
 
2.4%
지 16
 
2.2%
스 16
 
2.2%
Other values (159) 484
67.0%
Common
ValueCountFrequency (%)
31
36.5%
( 26
30.6%
) 26
30.6%
, 1
 
1.2%
1 1
 
1.2%
Latin
ValueCountFrequency (%)
L 6
50.0%
G 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 722
88.2%
ASCII 97
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 36
 
5.0%
전 30
 
4.2%
의 28
 
3.9%
주 28
 
3.9%
료 27
 
3.7%
사 23
 
3.2%
디 17
 
2.4%
메 17
 
2.4%
지 16
 
2.2%
스 16
 
2.2%
Other values (159) 484
67.0%
ASCII
ValueCountFrequency (%)
31
32.0%
( 26
26.8%
) 26
26.8%
L 6
 
6.2%
G 6
 
6.2%
, 1
 
1.0%
1 1
 
1.0%

영업소 소재지
Text

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-14T23:28:57.136072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length32.230769
Min length22

Characters and Unicode

Total characters3352
Distinct characters196
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

Unique98 ?
Unique (%)94.2%

Sample

1st row전북특별자치도 익산시 마동 70-1 우림@상가 105호
2nd row전북특별자치도 익산시 왕궁면 왕궁로 146
3rd row전북특별자치도 전주시 덕진구 태진로 139 (금암동)
4th row전북특별자치도 익산시 선화로31길 28-1 (남중동)
5th row전북특별자치도 전주시 덕진구 팔과정로 20, 403동 1호 (팔복동3가,중소기업진흥공단아파트형공장)
ValueCountFrequency (%)
전북특별자치도 104
 
16.7%
전주시 59
 
9.5%
완산구 34
 
5.5%
덕진구 25
 
4.0%
익산시 16
 
2.6%
군산시 10
 
1.6%
층 9
 
1.4%
1 8
 
1.3%
101호 6
 
1.0%
금암동 6
 
1.0%
Other values (255) 346
55.5%
2024-03-14T23:28:58.971694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
519
 
15.5%
전 167
 
5.0%
자 114
 
3.4%
북 111
 
3.3%
1 110
 
3.3%
도 105
 
3.1%
동 105
 
3.1%
별 104
 
3.1%
치 104
 
3.1%
특 104
 
3.1%
Other values (186) 1809
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2094
62.5%
Space Separator 519
 
15.5%
Decimal Number 451
 
13.5%
Open Punctuation 89
 
2.7%
Close Punctuation 89
 
2.7%
Dash Punctuation 54
 
1.6%
Other Punctuation 46
 
1.4%
Uppercase Letter 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 167
 
8.0%
자 114
 
5.4%
북 111
 
5.3%
도 105
 
5.0%
동 105
 
5.0%
별 104
 
5.0%
치 104
 
5.0%
특 104
 
5.0%
시 97
 
4.6%
산 78
 
3.7%
Other values (164) 1005
48.0%
Decimal Number
ValueCountFrequency (%)
1 110
24.4%
2 70
15.5%
0 65
14.4%
3 61
13.5%
4 38
 
8.4%
8 25
 
5.5%
5 23
 
5.1%
6 23
 
5.1%
7 20
 
4.4%
9 16
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
G 3
30.0%
L 3
30.0%
B 1
 
10.0%
A 1
 
10.0%
P 1
 
10.0%
T 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 45
97.8%
@ 1
 
2.2%
Space Separator
ValueCountFrequency (%)
519
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2094
62.5%
Common 1248
37.2%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 167
 
8.0%
자 114
 
5.4%
북 111
 
5.3%
도 105
 
5.0%
동 105
 
5.0%
별 104
 
5.0%
치 104
 
5.0%
특 104
 
5.0%
시 97
 
4.6%
산 78
 
3.7%
Other values (164) 1005
48.0%
Common
ValueCountFrequency (%)
519
41.6%
1 110
 
8.8%
( 89
 
7.1%
) 89
 
7.1%
2 70
 
5.6%
0 65
 
5.2%
3 61
 
4.9%
- 54
 
4.3%
, 45
 
3.6%
4 38
 
3.0%
Other values (6) 108
 
8.7%
Latin
ValueCountFrequency (%)
G 3
30.0%
L 3
30.0%
B 1
 
10.0%
A 1
 
10.0%
P 1
 
10.0%
T 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2094
62.5%
ASCII 1258
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
519
41.3%
1 110
 
8.7%
( 89
 
7.1%
) 89
 
7.1%
2 70
 
5.6%
0 65
 
5.2%
3 61
 
4.8%
- 54
 
4.3%
, 45
 
3.6%
4 38
 
3.0%
Other values (12) 118
 
9.4%
Hangul
ValueCountFrequency (%)
전 167
 
8.0%
자 114
 
5.4%
북 111
 
5.3%
도 105
 
5.0%
동 105
 
5.0%
별 104
 
5.0%
치 104
 
5.0%
특 104
 
5.0%
시 97
 
4.6%
산 78
 
3.7%
Other values (164) 1005
48.0%

전화번호
Text

MISSING 

Distinct80
Distinct (%)98.8%
Missing23
Missing (%)22.1%
Memory size960.0 B
2024-03-14T23:28:59.844918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012346
Min length12

Characters and Unicode

Total characters973
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

Unique79 ?
Unique (%)97.5%

Sample

1st row063-857-5885
2nd row063-283-1117
3rd row063-286-0122
4th row063-853-5060
5th row063-213-5321
ValueCountFrequency (%)
063-283-1742 2
 
2.5%
063-1688-8652 1
 
1.2%
063-245-6639 1
 
1.2%
063-583-3355 1
 
1.2%
063-283-6633 1
 
1.2%
063-282-9001 1
 
1.2%
063-351-3415 1
 
1.2%
063-242-8222 1
 
1.2%
063-255-0778 1
 
1.2%
063-714-3691 1
 
1.2%
Other values (70) 70
86.4%
2024-03-14T23:29:01.215794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 162
16.6%
3 144
14.8%
6 132
13.6%
0 119
12.2%
2 108
11.1%
5 67
6.9%
7 61
 
6.3%
1 56
 
5.8%
8 49
 
5.0%
4 48
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 811
83.4%
Dash Punctuation 162
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 144
17.8%
6 132
16.3%
0 119
14.7%
2 108
13.3%
5 67
8.3%
7 61
7.5%
1 56
 
6.9%
8 49
 
6.0%
4 48
 
5.9%
9 27
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 162
16.6%
3 144
14.8%
6 132
13.6%
0 119
12.2%
2 108
11.1%
5 67
6.9%
7 61
 
6.3%
1 56
 
5.8%
8 49
 
5.0%
4 48
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 162
16.6%
3 144
14.8%
6 132
13.6%
0 119
12.2%
2 108
11.1%
5 67
6.9%
7 61
 
6.3%
1 56
 
5.8%
8 49
 
5.0%
4 48
 
4.9%

대표자명
Categorical

Distinct32
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size960.0 B
김**
22 
이**
11 
정**
10 
한**
8 
박**
8 
Other values (27)
45 

Length

Max length3
Median length3
Mean length2.9807692
Min length2

Unique

Unique17 ?
Unique (%)16.3%

Sample

1st row유**
2nd row송**
3rd row이**
4th row이**
5th row김**

Common Values

ValueCountFrequency (%)
김** 22
21.2%
이** 11
10.6%
정** 10
 
9.6%
한** 8
 
7.7%
박** 8
 
7.7%
최** 7
 
6.7%
조** 4
 
3.8%
임** 3
 
2.9%
양** 2
 
1.9%
하** 2
 
1.9%
Other values (22) 27
26.0%

Length

2024-03-14T23:29:01.600327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김 22
21.2%
정 11
10.6%
이 11
10.6%
한 8
 
7.7%
박 8
 
7.7%
최 7
 
6.7%
조 4
 
3.8%
임 4
 
3.8%
유 2
 
1.9%
권 2
 
1.9%
Other values (20) 25
24.0%

수리대상의료기기의유형
Text

Distinct70
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-14T23:29:02.337335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length29.5
Mean length14.875
Min length3

Characters and Unicode

Total characters1547
Distinct characters142
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)57.7%

Sample

1st row전동휠체어, 전동스쿠터
2nd row전동스쿠터, 전동휠체어
3rd row전동스쿠터, 전동휠체어, 휠체어
4th row치과의료기기
5th row피부미용기기
ValueCountFrequency (%)
전동휠체어 33
 
13.5%
전동스쿠터 32
 
13.1%
수동휠체어 15
 
6.1%
환자운반차 8
 
3.3%
의료용 8
 
3.3%
보청기 7
 
2.9%
이온정수기 6
 
2.4%
휠체어 5
 
2.0%
등 4
 
1.6%
및 4
 
1.6%
Other values (103) 123
50.2%
2024-03-14T23:29:03.544676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
9.1%
동 118
 
7.6%
, 118
 
7.6%
전 96
 
6.2%
기 86
 
5.6%
체 80
 
5.2%
어 75
 
4.8%
휠 74
 
4.8%
스 50
 
3.2%
터 49
 
3.2%
Other values (132) 660
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1266
81.8%
Space Separator 141
 
9.1%
Other Punctuation 119
 
7.7%
Open Punctuation 8
 
0.5%
Close Punctuation 8
 
0.5%
Decimal Number 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 118
 
9.3%
전 96
 
7.6%
기 86
 
6.8%
체 80
 
6.3%
어 75
 
5.9%
휠 74
 
5.8%
스 50
 
3.9%
터 49
 
3.9%
쿠 49
 
3.9%
용 40
 
3.2%
Other values (122) 549
43.4%
Decimal Number
ValueCountFrequency (%)
0 1
20.0%
4 1
20.0%
9 1
20.0%
7 1
20.0%
3 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 118
99.2%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1266
81.8%
Common 281
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 118
 
9.3%
전 96
 
7.6%
기 86
 
6.8%
체 80
 
6.3%
어 75
 
5.9%
휠 74
 
5.8%
스 50
 
3.9%
터 49
 
3.9%
쿠 49
 
3.9%
용 40
 
3.2%
Other values (122) 549
43.4%
Common
ValueCountFrequency (%)
141
50.2%
, 118
42.0%
( 8
 
2.8%
) 8
 
2.8%
0 1
 
0.4%
4 1
 
0.4%
9 1
 
0.4%
7 1
 
0.4%
· 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1266
81.8%
ASCII 280
 
18.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
50.4%
, 118
42.1%
( 8
 
2.9%
) 8
 
2.9%
0 1
 
0.4%
4 1
 
0.4%
9 1
 
0.4%
7 1
 
0.4%
3 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 118
 
9.3%
전 96
 
7.6%
기 86
 
6.8%
체 80
 
6.3%
어 75
 
5.9%
휠 74
 
5.8%
스 50
 
3.9%
터 49
 
3.9%
쿠 49
 
3.9%
용 40
 
3.2%
Other values (122) 549
43.4%
None
ValueCountFrequency (%)
· 1
100.0%

겸업여부
Boolean

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size232.0 B
True
80 
False
24 
ValueCountFrequency (%)
True 80
76.9%
False 24
 
23.1%
2024-03-14T23:29:03.886595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:29:04.078974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고일자영업소명전화번호대표자명수리대상의료기기의유형겸업여부
신고일자1.0000.9911.0000.9920.9960.763
영업소명0.9911.0001.0000.9900.0001.000
전화번호1.0001.0001.0001.0000.9951.000
대표자명0.9920.9901.0001.0000.8460.000
수리대상의료기기의유형0.9960.0000.9950.8461.0000.695
겸업여부0.7631.0001.0000.0000.6951.000
2024-03-14T23:29:04.347784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
겸업여부대표자명
겸업여부1.0000.000
대표자명0.0001.000
2024-03-14T23:29:04.578679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표자명겸업여부
대표자명1.0000.000
겸업여부0.0001.000

Missing values

2024-03-14T23:28:51.361428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:28:51.785252image/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

의료기기영업신고번호신고일자영업소명영업소 소재지전화번호대표자명수리대상의료기기의유형겸업여부
02011-6450000-60-000012011-01-21아주의료기전북특별자치도 익산시 마동 70-1 우림@상가 105호063-857-5885유**전동휠체어, 전동스쿠터Y
12011-6450000-60-000042011-01-26케어 메디칼전북특별자치도 익산시 왕궁면 왕궁로 146063-283-1117송**전동스쿠터, 전동휠체어N
22011-6450000-60-000052011-02-01이강아재활사전북특별자치도 전주시 덕진구 태진로 139 (금암동)063-286-0122이**전동스쿠터, 전동휠체어, 휠체어Y
32011-6450000-60-000072005-07-07익산 한빛 치과재료상사전북특별자치도 익산시 선화로31길 28-1 (남중동)063-853-5060이**치과의료기기N
42011-6450000-60-000082005-08-19(주)인포메디전북특별자치도 전주시 덕진구 팔과정로 20, 403동 1호 (팔복동3가,중소기업진흥공단아파트형공장)063-213-5321김**피부미용기기N
52011-6450000-60-000092008-07-04(유)희망케어전북특별자치도 전주시 완산구 평화14길 23 (평화동2가)063-212-6008오**환자운반차외 9건N
62011-6450000-60-000102005-05-02(유)호성양행전북특별자치도 전주시 덕진구 대정길 21-1 (성덕동)<NA>최**진료대 등 40종N
72011-6450000-60-000112009-07-01독일지멘스 보청기전북특별자치도 전주시 완산구 서노송동 632-3063-283-4566김**보청기(비이식형)N
82011-6450000-60-000122006-08-28사랑과 진실 의료기전북특별자치도 전주시 완산구 팔달로 138 (전동)<NA>김**이학진료용기구N
92011-6450000-60-000132008-05-16푸른의수족, 의료기전북특별자치도 익산시 왕궁면 왕궁로 146<NA>이**환자운반차Y
의료기기영업신고번호신고일자영업소명영업소 소재지전화번호대표자명수리대상의료기기의유형겸업여부
942019-6450000-60-000102019-09-23LG전자(주)익산지점전북특별자치도 익산시 하나로 418-0, 1층 (어양동,LG전자서비스)063-834-5511정**이온정수기Y
952019-6450000-60-000112019-09-23LG전자(주)군산지점전북특별자치도 군산시 월명로 200-0 (수송동)063-461-7124정**이온정수기Y
962019-6450000-60-000122019-11-25춘향스쿠터전북특별자치도 남원시 주천면 장백산로 84-0 (물레방아민속주점)<NA>조**전동스쿠터, 전동휠체어, 수동휠체어, 의료용스쿠터N
972019-6450000-60-000132019-12-04완주군보장구서비스센터전북특별자치도 완주군 봉동읍 하보상길 14-0063-262-0004조**전동스쿠터, 전동휠체어, 수동휠체어N
982019-6450000-60-000142019-12-04동성메디칼(주)전북특별자치도 전주시 완산구 서신천변1길 37-0 (서신동)063-275-4021홍**혈액검사용기기류, 의료용소독기류, 소변또는분변분석기기류, 의료용원심분리기, 의료원정온기, 혈압검사또는맥파검사용기기, 청력검사용 기기류N
992020-6450000-60-000012020-03-09어울림전북특별자치도 군산시 월명로 342-0, 101호 (서흥남동,앗싸돈)<NA>천**진료대, 수술대, 이학진료용기구, 환자운반차, 재활치료장비Y
1002020-6450000-60-000022020-03-23대성의료기전북특별자치도 전주시 완산구 서원로 358-0 (중화산동1가,서원빌딩)063-231-3344정**전동보조기기 전지Y
1012020-6450000-60-000032020-04-24희망메디컬전북특별자치도 전주시 덕진구 백동5길 21-0 (인후동2가)<NA>정*전동식휠체어, 수동식휠체어, 의료용스쿠터Y
1022020-6450000-60-000042020-06-02효도의료기전북특별자치도 전주시 완산구 기린대로 173-0 (서노송동,한솔빌딩)<NA>임**전동식휠체어, 의료용스쿠터Y
1032020-6450000-60-000052020-08-11동아메디텍전북특별자치도 전주시 완산구 서곡2길 30-25 (효자동3가)<NA>박**진단용 엑스선 장치, 의료용 필름 현상기, 의료영상저장전송장치, 의료영상획득장치Y