Overview

Dataset statistics

Number of variables7
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory58.3 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description대전광역시 동구 관내 방문판매업 현황에 관한 데이터로서, 관리번호, 대표자명, 법인또는상호, 소재지주소, 취급품목 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15067202/fileData.do

Alerts

번호 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:29:31.730674
Analysis finished2023-12-12 06:29:33.285567
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T15:29:33.368519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.05
Q126.25
median51.5
Q376.75
95-th percentile96.95
Maximum102
Range101
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation29.588849
Coefficient of variation (CV)0.57454076
Kurtosis-1.2
Mean51.5
Median Absolute Deviation (MAD)25.5
Skewness0
Sum5253
Variance875.5
MonotonicityStrictly increasing
2023-12-12T15:29:33.793922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
66 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%

관리번호
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T15:29:33.997565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.980392
Min length13

Characters and Unicode

Total characters1426
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row2023-대전동구-0011
2nd row2023-대전동구-0010
3rd row2023-대전동구-0009
4th row2023-대전동구-0008
5th row2023-대전동구-0007
ValueCountFrequency (%)
2023-대전동구-0011 1
 
1.0%
2017-대전동구-0026 1
 
1.0%
2018-대전동구-0012 1
 
1.0%
2018-대전동구-0011 1
 
1.0%
2018-대전동구-0013 1
 
1.0%
2018-대전동구-0014 1
 
1.0%
2018-대전동구-0015 1
 
1.0%
2018-대전동구-0016 1
 
1.0%
2018-대전동구-0017 1
 
1.0%
2018-대전동구-0020 1
 
1.0%
Other values (93) 93
90.3%
2023-12-12T15:29:34.391301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 370
25.9%
- 205
14.4%
2 197
13.8%
1 114
 
8.0%
대 102
 
7.2%
전 102
 
7.2%
동 102
 
7.2%
구 102
 
7.2%
3 28
 
2.0%
9 25
 
1.8%
Other values (6) 79
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 812
56.9%
Other Letter 408
28.6%
Dash Punctuation 205
 
14.4%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 370
45.6%
2 197
24.3%
1 114
 
14.0%
3 28
 
3.4%
9 25
 
3.1%
8 22
 
2.7%
7 20
 
2.5%
6 16
 
2.0%
4 11
 
1.4%
5 9
 
1.1%
Other Letter
ValueCountFrequency (%)
대 102
25.0%
전 102
25.0%
동 102
25.0%
구 102
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1018
71.4%
Hangul 408
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 370
36.3%
- 205
20.1%
2 197
19.4%
1 114
 
11.2%
3 28
 
2.8%
9 25
 
2.5%
8 22
 
2.2%
7 20
 
2.0%
6 16
 
1.6%
4 11
 
1.1%
Other values (2) 10
 
1.0%
Hangul
ValueCountFrequency (%)
대 102
25.0%
전 102
25.0%
동 102
25.0%
구 102
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1018
71.4%
Hangul 408
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 370
36.3%
- 205
20.1%
2 197
19.4%
1 114
 
11.2%
3 28
 
2.8%
9 25
 
2.5%
8 22
 
2.2%
7 20
 
2.0%
6 16
 
1.6%
4 11
 
1.1%
Other values (2) 10
 
1.0%
Hangul
ValueCountFrequency (%)
대 102
25.0%
전 102
25.0%
동 102
25.0%
구 102
25.0%

대표자명
Text

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T15:29:34.766198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters306
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)96.1%

Sample

1st row김민혜
2nd row박경환
3rd row김선영
4th row김은옥
5th row박두헌
ValueCountFrequency (%)
김옥화 2
 
2.0%
권오억 2
 
2.0%
김병진 1
 
1.0%
김민혜 1
 
1.0%
서영주 1
 
1.0%
박장식 1
 
1.0%
김남일 1
 
1.0%
신후남 1
 
1.0%
김선일 1
 
1.0%
이종원 1
 
1.0%
Other values (90) 90
88.2%
2023-12-12T15:29:35.283540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 27
 
8.8%
이 18
 
5.9%
정 13
 
4.2%
박 12
 
3.9%
진 11
 
3.6%
영 10
 
3.3%
경 8
 
2.6%
선 7
 
2.3%
남 6
 
2.0%
민 6
 
2.0%
Other values (86) 188
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 27
 
8.8%
이 18
 
5.9%
정 13
 
4.2%
박 12
 
3.9%
진 11
 
3.6%
영 10
 
3.3%
경 8
 
2.6%
선 7
 
2.3%
남 6
 
2.0%
민 6
 
2.0%
Other values (86) 188
61.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 27
 
8.8%
이 18
 
5.9%
정 13
 
4.2%
박 12
 
3.9%
진 11
 
3.6%
영 10
 
3.3%
경 8
 
2.6%
선 7
 
2.3%
남 6
 
2.0%
민 6
 
2.0%
Other values (86) 188
61.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 27
 
8.8%
이 18
 
5.9%
정 13
 
4.2%
박 12
 
3.9%
진 11
 
3.6%
영 10
 
3.3%
경 8
 
2.6%
선 7
 
2.3%
남 6
 
2.0%
민 6
 
2.0%
Other values (86) 188
61.4%

법인또는상호
Text

Distinct96
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T15:29:35.547619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.9509804
Min length2

Characters and Unicode

Total characters811
Distinct characters221
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

Unique93 ?
Unique (%)91.2%

Sample

1st row경남생활건강
2nd row더블유(W).피너스
3rd row(GN)헬스케어 대전 동구 가오대리점
4th row대전리얼
5th row(주)트라이베스트
ValueCountFrequency (%)
주식회사 11
 
7.5%
아모레 5
 
3.4%
카운셀러 4
 
2.7%
아모레카운셀러 3
 
2.1%
비채라이프 2
 
1.4%
에치와이 2
 
1.4%
대전 2
 
1.4%
그린생명주식회사 2
 
1.4%
농업회사법인 2
 
1.4%
d.g 1
 
0.7%
Other values (112) 112
76.7%
2023-12-12T15:29:35.993052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
5.5%
대 29
 
3.6%
주 23
 
2.8%
전 21
 
2.6%
사 21
 
2.6%
아 18
 
2.2%
스 18
 
2.2%
회 18
 
2.2%
리 16
 
2.0%
통 15
 
1.8%
Other values (211) 587
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 716
88.3%
Space Separator 45
 
5.5%
Close Punctuation 15
 
1.8%
Open Punctuation 14
 
1.7%
Uppercase Letter 13
 
1.6%
Lowercase Letter 4
 
0.5%
Other Punctuation 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 29
 
4.1%
주 23
 
3.2%
전 21
 
2.9%
사 21
 
2.9%
아 18
 
2.5%
스 18
 
2.5%
회 18
 
2.5%
리 16
 
2.2%
통 15
 
2.1%
점 15
 
2.1%
Other values (192) 522
72.9%
Uppercase Letter
ValueCountFrequency (%)
G 4
30.8%
N 2
15.4%
D 1
 
7.7%
O 1
 
7.7%
P 1
 
7.7%
T 1
 
7.7%
B 1
 
7.7%
F 1
 
7.7%
W 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
n 1
25.0%
i 1
25.0%
e 1
25.0%
h 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 716
88.3%
Common 78
 
9.6%
Latin 17
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 29
 
4.1%
주 23
 
3.2%
전 21
 
2.9%
사 21
 
2.9%
아 18
 
2.5%
스 18
 
2.5%
회 18
 
2.5%
리 16
 
2.2%
통 15
 
2.1%
점 15
 
2.1%
Other values (192) 522
72.9%
Latin
ValueCountFrequency (%)
G 4
23.5%
N 2
11.8%
D 1
 
5.9%
O 1
 
5.9%
n 1
 
5.9%
i 1
 
5.9%
P 1
 
5.9%
e 1
 
5.9%
h 1
 
5.9%
T 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
45
57.7%
) 15
 
19.2%
( 14
 
17.9%
. 2
 
2.6%
- 1
 
1.3%
& 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 716
88.3%
ASCII 95
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
47.4%
) 15
 
15.8%
( 14
 
14.7%
G 4
 
4.2%
. 2
 
2.1%
N 2
 
2.1%
D 1
 
1.1%
O 1
 
1.1%
n 1
 
1.1%
i 1
 
1.1%
Other values (9) 9
 
9.5%
Hangul
ValueCountFrequency (%)
대 29
 
4.1%
주 23
 
3.2%
전 21
 
2.9%
사 21
 
2.9%
아 18
 
2.5%
스 18
 
2.5%
회 18
 
2.5%
리 16
 
2.2%
통 15
 
2.1%
점 15
 
2.1%
Other values (192) 522
72.9%

소재지주소
Text

Distinct97
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T15:29:36.330729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length30.372549
Min length20

Characters and Unicode

Total characters3098
Distinct characters129
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

Unique93 ?
Unique (%)91.2%

Sample

1st row대전광역시 동구 한밭대로1237번길 52， 13동 801호 (용전동， 신동아아파트)
2nd row대전광역시 동구 흥룡로 26-1， 102호 (가양동)
3rd row대전광역시 동구 신기로101번길 5-24， 101호 (가오동)
4th row대전광역시 동구 동서대로1683번길 9， 305호 (용전동)
5th row대전광역시 동구 태전로104번길 3， 2층 (삼성동)
ValueCountFrequency (%)
대전광역시 102
 
16.1%
동구 102
 
16.1%
용전동 21
 
3.3%
1층 18
 
2.8%
가양동 15
 
2.4%
계족로 13
 
2.1%
2층 10
 
1.6%
성남동 6
 
0.9%
한밭대로 6
 
0.9%
낭월동 6
 
0.9%
Other values (232) 333
52.7%
2023-12-12T15:29:36.890124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
530
 
17.1%
동 242
 
7.8%
대 162
 
5.2%
전 150
 
4.8%
1 129
 
4.2%
구 104
 
3.4%
2 104
 
3.4%
광 103
 
3.3%
시 103
 
3.3%
역 102
 
3.3%
Other values (119) 1369
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1675
54.1%
Decimal Number 583
 
18.8%
Space Separator 530
 
17.1%
Close Punctuation 102
 
3.3%
Open Punctuation 102
 
3.3%
Other Punctuation 86
 
2.8%
Dash Punctuation 15
 
0.5%
Uppercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 242
14.4%
대 162
 
9.7%
전 150
 
9.0%
구 104
 
6.2%
광 103
 
6.1%
시 103
 
6.1%
역 102
 
6.1%
로 98
 
5.9%
길 47
 
2.8%
층 46
 
2.7%
Other values (100) 518
30.9%
Decimal Number
ValueCountFrequency (%)
1 129
22.1%
2 104
17.8%
0 64
11.0%
3 61
10.5%
4 47
 
8.1%
6 46
 
7.9%
5 41
 
7.0%
7 36
 
6.2%
8 29
 
5.0%
9 26
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
K 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Other Punctuation
ValueCountFrequency (%)
， 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1675
54.1%
Common 1419
45.8%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 242
14.4%
대 162
 
9.7%
전 150
 
9.0%
구 104
 
6.2%
광 103
 
6.1%
시 103
 
6.1%
역 102
 
6.1%
로 98
 
5.9%
길 47
 
2.8%
층 46
 
2.7%
Other values (100) 518
30.9%
Common
ValueCountFrequency (%)
530
37.4%
1 129
 
9.1%
2 104
 
7.3%
) 102
 
7.2%
( 102
 
7.2%
， 86
 
6.1%
0 64
 
4.5%
3 61
 
4.3%
4 47
 
3.3%
6 46
 
3.2%
Other values (6) 148
 
10.4%
Latin
ValueCountFrequency (%)
A 2
50.0%
K 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1675
54.1%
ASCII 1337
43.2%
None 86
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
530
39.6%
1 129
 
9.6%
2 104
 
7.8%
) 102
 
7.6%
( 102
 
7.6%
0 64
 
4.8%
3 61
 
4.6%
4 47
 
3.5%
6 46
 
3.4%
5 41
 
3.1%
Other values (8) 111
 
8.3%
Hangul
ValueCountFrequency (%)
동 242
14.4%
대 162
 
9.7%
전 150
 
9.0%
구 104
 
6.2%
광 103
 
6.1%
시 103
 
6.1%
역 102
 
6.1%
로 98
 
5.9%
길 47
 
2.8%
층 46
 
2.7%
Other values (100) 518
30.9%
None
ValueCountFrequency (%)
， 86
100.0%

취급품목
Categorical

Distinct27
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size948.0 B
기타
23 
건강식품
18 
화장품/미용용품
12 
건강식품 화장품/미용용품
9 
자동차/자동차용품
7 
Other values (22)
33 

Length

Max length42
Median length26
Mean length7.8137255
Min length1

Unique

Unique16 ?
Unique (%)15.7%

Sample

1st row건강식품
2nd row건강식품 화장품/미용용품
3rd row건강식품 화장품/미용용품 기타
4th row생활용품/세제류 컴퓨터/사무용품 통신기기 기타
5th row화장품/미용용품 교육/도서

Common Values

ValueCountFrequency (%)
기타 23
22.5%
건강식품 18
17.6%
화장품/미용용품 12
11.8%
건강식품 화장품/미용용품 9
 
8.8%
자동차/자동차용품 7
 
6.9%
통신기기 5
 
4.9%
의류/패션 4
 
3.9%
가전 2
 
2.0%
건강식품 화장품/미용용품 기타 2
 
2.0%
화장품/미용용품 기타 2
 
2.0%
Other values (17) 18
17.6%

Length

2023-12-12T15:29:37.058663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건강식품 34
23.0%
기타 32
21.6%
화장품/미용용품 32
21.6%
생활용품/세제류 11
 
7.4%
통신기기 9
 
6.1%
자동차/자동차용품 7
 
4.7%
의류/패션 6
 
4.1%
가전 6
 
4.1%
교육/도서 5
 
3.4%
컴퓨터/사무용품 5
 
3.4%

최종변경신고일자
Date

Distinct93
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2010-11-08 00:00:00
Maximum2023-07-24 00:00:00
2023-12-12T15:29:37.213132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:37.399592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T15:29:32.989652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:29:37.544646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대표자명법인또는상호소재지주소취급품목최종변경신고일자
번호1.0000.9780.8430.9390.5730.989
대표자명0.9781.0000.9990.9990.9990.999
법인또는상호0.8430.9991.0000.9991.0000.949
소재지주소0.9390.9990.9991.0000.9990.979
취급품목0.5730.9991.0000.9991.0000.981
최종변경신고일자0.9890.9990.9490.9790.9811.000
2023-12-12T15:29:37.654768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호취급품목
번호1.0000.217
취급품목0.2171.000

Missing values

2023-12-12T15:29:33.101862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:33.235287image/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

번호관리번호대표자명법인또는상호소재지주소취급품목최종변경신고일자
012023-대전동구-0011김민혜경남생활건강대전광역시 동구 한밭대로1237번길 52， 13동 801호 (용전동， 신동아아파트)건강식품2023-07-24
122023-대전동구-0010박경환더블유(W).피너스대전광역시 동구 흥룡로 26-1， 102호 (가양동)건강식품 화장품/미용용품2023-07-20
232023-대전동구-0009김선영(GN)헬스케어 대전 동구 가오대리점대전광역시 동구 신기로101번길 5-24， 101호 (가오동)건강식품 화장품/미용용품 기타2023-07-05
342023-대전동구-0008김은옥대전리얼대전광역시 동구 동서대로1683번길 9， 305호 (용전동)생활용품/세제류 컴퓨터/사무용품 통신기기 기타2023-06-05
452023-대전동구-0007박두헌(주)트라이베스트대전광역시 동구 태전로104번길 3， 2층 (삼성동)화장품/미용용품 교육/도서2023-05-18
562023-대전동구-0006김영대굿모닝유통대전광역시 동구 동부로73번길 14， 2층 202호 (용운동)생활용품/세제류2023-04-19
672023-대전동구-0005유기주비바 홀딩스대전광역시 동구 동서대로 1708， 명신빌딩 905호 (가양동)기타2023-03-02
782023-대전동구-0004박민정버섯마을농산대전광역시 동구 충정로 83， 201호 (가양동， 대호아파트)건강식품2023-02-24
892023-대전동구-0003유병주종근당건강헬스벨스토리대전중앙로점대전광역시 동구 태전로 17-2， 1층 (중동)건강식품 화장품/미용용품2023-02-10
9102023-대전동구-0002이민영코코대전광역시 동구 대전로542번길 121， 314동 502호 (천동， 위드힐)건강식품 화장품/미용용품2023-01-09
번호관리번호대표자명법인또는상호소재지주소취급품목최종변경신고일자
92932014-대전동구-0004이석원에치와이 신흥점대전광역시 동구 광명길 111， 1층 (판암동)건강식품2021-05-04
93942013-대전동구-0026이진상자연농원대전광역시 동구 대전로340번길 20， 108동 1401호 (대성동， 삼익세라믹아파트)기타2013-10-14
94952013-대전동구-0018민원기쌍용자동차용전판매대리점(주)대전광역시 동구 한밭대로 1236 (용전동)자동차/자동차용품2013-07-29
95962013-대전동구- 003이용태(주)경동한방솔루션제약대전광역시 동구 선화로192번길 47 (중동)기타2013-02-05
96972012-대전동구-0038권재훈다현메디칼대전광역시 동구 산내로1299번길 30 (낭월동)컴퓨터/사무용품 기타2013-11-12
97982010-대전동구-006홍순남엔지오 (NGO) 한국경영자 (유통)대전광역시 동구 옥천로 427， 2층 (비룡동， 비룡동우체국)건강식품2010-11-08
98992008-대전동구-0028이주의쉐보레대전용전대전광역시 동구 계족로 413-1 (홍도동)자동차/자동차용품2012-09-10
991002003-대전동구-0032정해숙윤선생영어교실대전가오센터대전광역시 동구 대전로470번길 45 (가오동)교육/도서2021-02-24
1001012002-대전동구-0021윤제공기아판암대리점대전광역시 동구 옥천로 130 (판암동)자동차/자동차용품2021-05-03
1011021999-대전동구-1-11박선정하나통상대전광역시 동구 동중앙로 108-27 (자양동)건강식품 교육/도서2018-07-31