Overview

Dataset statistics

Number of variables5
Number of observations436
Missing cells332
Missing cells (%)15.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory40.3 B

Variable types

Categorical1
Text4

Dataset

Description대전광역시 동구 건강기능식품판매업 현황에 대하여 2023.7.24일 기준으로 제공하고 있으며 관내 업종명, 업소명, 주소, 전화 등을 제공합니다.
URLhttps://www.data.go.kr/data/15067486/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 332 (76.1%) missing valuesMissing

Reproduction

Analysis started2023-12-13 00:24:19.718932
Analysis finished2023-12-13 00:24:20.285384
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
건강기능식품일반판매업
436 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 436
100.0%

Length

2023-12-13T09:24:20.343241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:24:20.416682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 436
100.0%

업소명
Text

Distinct434
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-13T09:24:20.605520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.0366972
Min length2

Characters and Unicode

Total characters3068
Distinct characters461
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique432 ?
Unique (%)99.1%

Sample

1st row아모레대덕특약점
2nd row정관장 삼성본점
3rd row유니베라 동부대리점
4th row산내농업협동조합
5th row가양산부인과의원
ValueCountFrequency (%)
주식회사 17
 
3.1%
애터미 7
 
1.3%
세븐일레븐 7
 
1.3%
인셀덤 5
 
0.9%
대전가오점 3
 
0.5%
네이처컬렉션 3
 
0.5%
유니베라 2
 
0.4%
씨제이올리브영(주 2
 
0.4%
lg화장품 2
 
0.4%
대전터미널점 2
 
0.4%
Other values (493) 499
90.9%
2023-12-13T09:24:20.937339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
3.7%
이 112
 
3.7%
대 85
 
2.8%
점 85
 
2.8%
스 77
 
2.5%
전 66
 
2.2%
리 61
 
2.0%
주 50
 
1.6%
) 46
 
1.5%
( 45
 
1.5%
Other values (451) 2328
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2741
89.3%
Space Separator 113
 
3.7%
Uppercase Letter 47
 
1.5%
Lowercase Letter 47
 
1.5%
Close Punctuation 46
 
1.5%
Open Punctuation 45
 
1.5%
Decimal Number 21
 
0.7%
Other Punctuation 7
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 112
 
4.1%
대 85
 
3.1%
점 85
 
3.1%
스 77
 
2.8%
전 66
 
2.4%
리 61
 
2.2%
주 50
 
1.8%
인 43
 
1.6%
마 41
 
1.5%
사 34
 
1.2%
Other values (401) 2087
76.1%
Lowercase Letter
ValueCountFrequency (%)
o 6
12.8%
e 6
12.8%
u 5
10.6%
f 3
 
6.4%
a 3
 
6.4%
p 3
 
6.4%
s 3
 
6.4%
h 3
 
6.4%
k 2
 
4.3%
i 2
 
4.3%
Other values (9) 11
23.4%
Uppercase Letter
ValueCountFrequency (%)
S 9
19.1%
J 5
10.6%
R 4
8.5%
H 4
8.5%
L 4
8.5%
G 4
8.5%
N 3
 
6.4%
T 2
 
4.3%
A 2
 
4.3%
U 2
 
4.3%
Other values (7) 8
17.0%
Decimal Number
ValueCountFrequency (%)
2 4
19.0%
5 4
19.0%
8 4
19.0%
9 3
14.3%
3 3
14.3%
1 3
14.3%
Other Punctuation
ValueCountFrequency (%)
& 4
57.1%
: 1
 
14.3%
, 1
 
14.3%
· 1
 
14.3%
Space Separator
ValueCountFrequency (%)
113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2741
89.3%
Common 233
 
7.6%
Latin 94
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 112
 
4.1%
대 85
 
3.1%
점 85
 
3.1%
스 77
 
2.8%
전 66
 
2.4%
리 61
 
2.2%
주 50
 
1.8%
인 43
 
1.6%
마 41
 
1.5%
사 34
 
1.2%
Other values (401) 2087
76.1%
Latin
ValueCountFrequency (%)
S 9
 
9.6%
o 6
 
6.4%
e 6
 
6.4%
J 5
 
5.3%
u 5
 
5.3%
R 4
 
4.3%
H 4
 
4.3%
L 4
 
4.3%
G 4
 
4.3%
f 3
 
3.2%
Other values (26) 44
46.8%
Common
ValueCountFrequency (%)
113
48.5%
) 46
19.7%
( 45
 
19.3%
2 4
 
1.7%
5 4
 
1.7%
8 4
 
1.7%
& 4
 
1.7%
9 3
 
1.3%
3 3
 
1.3%
1 3
 
1.3%
Other values (4) 4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2741
89.3%
ASCII 326
 
10.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
34.7%
) 46
14.1%
( 45
 
13.8%
S 9
 
2.8%
o 6
 
1.8%
e 6
 
1.8%
J 5
 
1.5%
u 5
 
1.5%
2 4
 
1.2%
R 4
 
1.2%
Other values (39) 83
25.5%
Hangul
ValueCountFrequency (%)
이 112
 
4.1%
대 85
 
3.1%
점 85
 
3.1%
스 77
 
2.8%
전 66
 
2.4%
리 61
 
2.2%
주 50
 
1.8%
인 43
 
1.6%
마 41
 
1.5%
사 34
 
1.2%
Other values (401) 2087
76.1%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct427
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-13T09:24:21.115014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length33.816514
Min length20

Characters and Unicode

Total characters14744
Distinct characters221
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique418 ?
Unique (%)95.9%

Sample

1st row대전광역시 동구 계족로 335, 2층 (성남동)
2nd row대전광역시 동구 대전로 930, 1층 (삼성동)
3rd row대전광역시 동구 동대전로 284 (가양동, 3층)
4th row대전광역시 동구 산내로 1324 (낭월동)
5th row대전광역시 동구 동대전로 272, 타임빌딩 3층 (가양동)
ValueCountFrequency (%)
대전광역시 436
 
15.0%
동구 436
 
15.0%
1층 71
 
2.4%
용전동 57
 
2.0%
가양동 56
 
1.9%
2층 51
 
1.8%
용운동 47
 
1.6%
가오동 31
 
1.1%
삼성동 30
 
1.0%
대전로 26
 
0.9%
Other values (688) 1665
57.3%
2023-12-13T09:24:21.412210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2473
 
16.8%
동 1101
 
7.5%
1 706
 
4.8%
대 625
 
4.2%
전 594
 
4.0%
, 519
 
3.5%
구 458
 
3.1%
시 449
 
3.0%
) 444
 
3.0%
( 444
 
3.0%
Other values (211) 6931
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7858
53.3%
Decimal Number 2918
 
19.8%
Space Separator 2473
 
16.8%
Other Punctuation 521
 
3.5%
Close Punctuation 444
 
3.0%
Open Punctuation 444
 
3.0%
Dash Punctuation 66
 
0.4%
Uppercase Letter 13
 
0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1101
 
14.0%
대 625
 
8.0%
전 594
 
7.6%
구 458
 
5.8%
시 449
 
5.7%
광 439
 
5.6%
역 438
 
5.6%
로 427
 
5.4%
호 228
 
2.9%
길 195
 
2.5%
Other values (186) 2904
37.0%
Decimal Number
ValueCountFrequency (%)
1 706
24.2%
0 439
15.0%
2 437
15.0%
3 277
 
9.5%
4 231
 
7.9%
5 222
 
7.6%
7 178
 
6.1%
6 168
 
5.8%
8 154
 
5.3%
9 106
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
23.1%
E 3
23.1%
B 2
15.4%
W 2
15.4%
H 1
 
7.7%
L 1
 
7.7%
C 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 519
99.6%
@ 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
85.7%
a 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2473
100.0%
Close Punctuation
ValueCountFrequency (%)
) 444
100.0%
Open Punctuation
ValueCountFrequency (%)
( 444
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7858
53.3%
Common 6866
46.6%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1101
 
14.0%
대 625
 
8.0%
전 594
 
7.6%
구 458
 
5.8%
시 449
 
5.7%
광 439
 
5.6%
역 438
 
5.6%
로 427
 
5.4%
호 228
 
2.9%
길 195
 
2.5%
Other values (186) 2904
37.0%
Common
ValueCountFrequency (%)
2473
36.0%
1 706
 
10.3%
, 519
 
7.6%
) 444
 
6.5%
( 444
 
6.5%
0 439
 
6.4%
2 437
 
6.4%
3 277
 
4.0%
4 231
 
3.4%
5 222
 
3.2%
Other values (6) 674
 
9.8%
Latin
ValueCountFrequency (%)
e 6
30.0%
A 3
15.0%
E 3
15.0%
B 2
 
10.0%
W 2
 
10.0%
H 1
 
5.0%
L 1
 
5.0%
C 1
 
5.0%
a 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7857
53.3%
ASCII 6886
46.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2473
35.9%
1 706
 
10.3%
, 519
 
7.5%
) 444
 
6.4%
( 444
 
6.4%
0 439
 
6.4%
2 437
 
6.3%
3 277
 
4.0%
4 231
 
3.4%
5 222
 
3.2%
Other values (15) 694
 
10.1%
Hangul
ValueCountFrequency (%)
동 1101
 
14.0%
대 625
 
8.0%
전 594
 
7.6%
구 458
 
5.8%
시 449
 
5.7%
광 439
 
5.6%
역 438
 
5.6%
로 427
 
5.4%
호 228
 
2.9%
길 195
 
2.5%
Other values (185) 2903
36.9%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

소재지(지번)
Text

Distinct353
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-13T09:24:21.663444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length21.860092
Min length15

Characters and Unicode

Total characters9531
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)69.0%

Sample

1st row대전광역시 동구 성남동 162-1
2nd row대전광역시 동구 삼성동 302-11
3rd row대전광역시 동구 가양동 418-20
4th row대전광역시 동구 낭월동 190-5
5th row대전광역시 동구 가양동 402-1 타임빌딩
ValueCountFrequency (%)
대전광역시 436
21.6%
동구 436
21.6%
용전동 58
 
2.9%
가양동 56
 
2.8%
용운동 50
 
2.5%
가오동 35
 
1.7%
삼성동 30
 
1.5%
대동 23
 
1.1%
낭월동 22
 
1.1%
판암동 21
 
1.0%
Other values (487) 847
42.1%
2023-12-13T09:24:22.025153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1991
20.9%
동 902
 
9.5%
전 510
 
5.4%
대 499
 
5.2%
시 447
 
4.7%
구 444
 
4.7%
광 439
 
4.6%
역 438
 
4.6%
1 376
 
3.9%
- 274
 
2.9%
Other values (178) 3211
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5460
57.3%
Space Separator 1991
 
20.9%
Decimal Number 1758
 
18.4%
Dash Punctuation 274
 
2.9%
Other Punctuation 17
 
0.2%
Uppercase Letter 9
 
0.1%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 902
16.5%
전 510
 
9.3%
대 499
 
9.1%
시 447
 
8.2%
구 444
 
8.1%
광 439
 
8.0%
역 438
 
8.0%
용 113
 
2.1%
가 100
 
1.8%
아 95
 
1.7%
Other values (155) 1473
27.0%
Decimal Number
ValueCountFrequency (%)
1 376
21.4%
2 235
13.4%
3 213
12.1%
4 180
10.2%
5 158
9.0%
0 137
 
7.8%
6 135
 
7.7%
7 119
 
6.8%
9 106
 
6.0%
8 99
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
E 3
33.3%
W 2
22.2%
H 1
 
11.1%
L 1
 
11.1%
B 1
 
11.1%
C 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 16
94.1%
@ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1991
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5460
57.3%
Common 4056
42.6%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 902
16.5%
전 510
 
9.3%
대 499
 
9.1%
시 447
 
8.2%
구 444
 
8.1%
광 439
 
8.0%
역 438
 
8.0%
용 113
 
2.1%
가 100
 
1.8%
아 95
 
1.7%
Other values (155) 1473
27.0%
Common
ValueCountFrequency (%)
1991
49.1%
1 376
 
9.3%
- 274
 
6.8%
2 235
 
5.8%
3 213
 
5.3%
4 180
 
4.4%
5 158
 
3.9%
0 137
 
3.4%
6 135
 
3.3%
7 119
 
2.9%
Other values (6) 238
 
5.9%
Latin
ValueCountFrequency (%)
e 6
40.0%
E 3
20.0%
W 2
 
13.3%
H 1
 
6.7%
L 1
 
6.7%
B 1
 
6.7%
C 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5459
57.3%
ASCII 4071
42.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1991
48.9%
1 376
 
9.2%
- 274
 
6.7%
2 235
 
5.8%
3 213
 
5.2%
4 180
 
4.4%
5 158
 
3.9%
0 137
 
3.4%
6 135
 
3.3%
7 119
 
2.9%
Other values (13) 253
 
6.2%
Hangul
ValueCountFrequency (%)
동 902
16.5%
전 510
 
9.3%
대 499
 
9.1%
시 447
 
8.2%
구 444
 
8.1%
광 439
 
8.0%
역 438
 
8.0%
용 113
 
2.1%
가 100
 
1.8%
아 95
 
1.7%
Other values (154) 1472
27.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

소재지전화
Text

MISSING 

Distinct104
Distinct (%)100.0%
Missing332
Missing (%)76.1%
Memory size3.5 KiB
2023-12-13T09:24:22.227084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.048077
Min length12

Characters and Unicode

Total characters1253
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 row042-627-6340
2nd row042-672-0389
3rd row042-637-5753
4th row042-271-7044
5th row042-634-7766
ValueCountFrequency (%)
042-285-4345 1
 
1.0%
042-637-5753 1
 
1.0%
042-822-3110 1
 
1.0%
042-522-9978 1
 
1.0%
042-271-3340 1
 
1.0%
042-334-5210 1
 
1.0%
042-257-9928 1
 
1.0%
042-286-5233 1
 
1.0%
042-285-1275 1
 
1.0%
042-635-7982 1
 
1.0%
Other values (94) 94
90.4%
2023-12-13T09:24:22.518707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 227
18.1%
- 208
16.6%
0 170
13.6%
4 142
11.3%
7 90
 
7.2%
6 89
 
7.1%
8 81
 
6.5%
3 80
 
6.4%
5 73
 
5.8%
1 55
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1045
83.4%
Dash Punctuation 208
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 227
21.7%
0 170
16.3%
4 142
13.6%
7 90
 
8.6%
6 89
 
8.5%
8 81
 
7.8%
3 80
 
7.7%
5 73
 
7.0%
1 55
 
5.3%
9 38
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 227
18.1%
- 208
16.6%
0 170
13.6%
4 142
11.3%
7 90
 
7.2%
6 89
 
7.1%
8 81
 
6.5%
3 80
 
6.4%
5 73
 
5.8%
1 55
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 227
18.1%
- 208
16.6%
0 170
13.6%
4 142
11.3%
7 90
 
7.2%
6 89
 
7.1%
8 81
 
6.5%
3 80
 
6.4%
5 73
 
5.8%
1 55
 
4.4%

Missing values

2023-12-13T09:24:20.183537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:24:20.252964image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화
0건강기능식품일반판매업아모레대덕특약점대전광역시 동구 계족로 335, 2층 (성남동)대전광역시 동구 성남동 162-1042-627-6340
1건강기능식품일반판매업정관장 삼성본점대전광역시 동구 대전로 930, 1층 (삼성동)대전광역시 동구 삼성동 302-11042-672-0389
2건강기능식품일반판매업유니베라 동부대리점대전광역시 동구 동대전로 284 (가양동, 3층)대전광역시 동구 가양동 418-20042-637-5753
3건강기능식품일반판매업산내농업협동조합대전광역시 동구 산내로 1324 (낭월동)대전광역시 동구 낭월동 190-5042-271-7044
4건강기능식품일반판매업가양산부인과의원대전광역시 동구 동대전로 272, 타임빌딩 3층 (가양동)대전광역시 동구 가양동 402-1 타임빌딩042-634-7766
5건강기능식품일반판매업근화내과대전광역시 동구 계족로 362 (성남동)대전광역시 동구 성남동 200-91042-637-8900
6건강기능식품일반판매업솔고헬스케어대전광역시 동구 동대전로 270, 5층 (가양동)대전광역시 동구 가양동 402-7 5층042-631-3525
7건강기능식품일반판매업아모레베스트특약점대전광역시 동구 계족로521번길 2, 7층 (용전동, 성산빌딩)대전광역시 동구 용전동 25-7 7층042-627-5546
8건강기능식품일반판매업유니베라 용전대리점대전광역시 동구 계족로 497-1 (용전동,2층)대전광역시 동구 용전동 42-9 2층042-622-7700
9건강기능식품일반판매업한백약품대전광역시 동구 우암로 280 (가양동)대전광역시 동구 가양동 394-1042-628-4077
업종명업소명소재지(도로명)소재지(지번)소재지전화
426건강기능식품일반판매업좋은건강대전광역시 동구 합내로 53-3, 1층 (가양동)대전광역시 동구 가양동 446-1<NA>
427건강기능식품일반판매업주식회사 케이스코대전광역시 동구 우암로 159, 지앤지빌딩 1층 105호 (성남동)대전광역시 동구 성남동 155-1 지앤지빌딩<NA>
428건강기능식품일반판매업조커제이투대전광역시 동구 태전로 51, 2층 차17호 (삼성동)대전광역시 동구 삼성동 273-1<NA>
429건강기능식품일반판매업삼영이엔에스대전광역시 동구 석천로 22-1, 201호 (낭월동)대전광역시 동구 낭월동 875<NA>
430건강기능식품일반판매업와이씨소프트대전광역시 동구 동대전로46번길 30, 111동 603호 (대동, 이스트시티1단지)대전광역시 동구 대동 539 이스트시티1단지<NA>
431건강기능식품일반판매업엘리마떼대전광역시 동구 한밭대로1237번길 52, 9동 1407호 (용전동, 신동아아파트)대전광역시 동구 용전동 1 신동아아파트<NA>
432건강기능식품일반판매업쓰리조커제이대전광역시 동구 태전로 51, 2층 차17호 (삼성동)대전광역시 동구 삼성동 273-1<NA>
433건강기능식품일반판매업판다곰대전광역시 동구 흥룡로 26-1, 102호 (가양동)대전광역시 동구 가양동 85-31<NA>
434건강기능식품일반판매업드림대전광역시 동구 대청호수로633번길 46 (추동)대전광역시 동구 추동 200-6<NA>
435건강기능식품일반판매업더블유(W)·피너스대전광역시 동구 흥룡로 26-1, 102호 (가양동)대전광역시 동구 가양동 85-31<NA>