Overview

Dataset statistics

Number of variables5
Number of observations702
Missing cells7
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description미추홀구의 건강기능식품일반판매업 현황에 대한 데이터로 업종명,상호명,도로명주소, 지번주소 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15061010&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:41:00.870630
Analysis finished2024-04-06 09:41:01.807705
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct702
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351.5
Minimum1
Maximum702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-06T18:41:01.909600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.05
Q1176.25
median351.5
Q3526.75
95-th percentile666.95
Maximum702
Range701
Interquartile range (IQR)350.5

Descriptive statistics

Standard deviation202.79423
Coefficient of variation (CV)0.57693949
Kurtosis-1.2
Mean351.5
Median Absolute Deviation (MAD)175.5
Skewness0
Sum246753
Variance41125.5
MonotonicityStrictly increasing
2024-04-06T18:41:02.286429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
473 1
 
0.1%
465 1
 
0.1%
466 1
 
0.1%
467 1
 
0.1%
468 1
 
0.1%
469 1
 
0.1%
470 1
 
0.1%
471 1
 
0.1%
472 1
 
0.1%
Other values (692) 692
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
702 1
0.1%
701 1
0.1%
700 1
0.1%
699 1
0.1%
698 1
0.1%
697 1
0.1%
696 1
0.1%
695 1
0.1%
694 1
0.1%
693 1
0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
건강기능식품일반판매업
702 

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 702
100.0%

Length

2024-04-06T18:41:02.428252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:41:02.526187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 702
100.0%
Distinct689
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-04-06T18:41:02.788795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length7.0698006
Min length2

Characters and Unicode

Total characters4963
Distinct characters529
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique677 ?
Unique (%)96.4%

Sample

1st row마임 동인천지사
2nd row정관장학익점
3rd row유니베라주안대리점
4th row(주)지에스리테일 학익점
5th row(주)화진화장품
ValueCountFrequency (%)
인셀덤 19
 
2.1%
주식회사 14
 
1.6%
애터미 7
 
0.8%
인천점 5
 
0.6%
헬스케어 4
 
0.4%
인천 4
 
0.4%
인셀덤코리아 3
 
0.3%
큐사랑 3
 
0.3%
정관장 3
 
0.3%
에치와이 3
 
0.3%
Other values (791) 836
92.8%
2024-04-06T18:41:03.300424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
4.0%
187
 
3.8%
141
 
2.8%
133
 
2.7%
121
 
2.4%
97
 
2.0%
) 92
 
1.9%
( 91
 
1.8%
85
 
1.7%
66
 
1.3%
Other values (519) 3751
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4254
85.7%
Space Separator 199
 
4.0%
Uppercase Letter 183
 
3.7%
Lowercase Letter 95
 
1.9%
Close Punctuation 92
 
1.9%
Open Punctuation 91
 
1.8%
Decimal Number 41
 
0.8%
Dash Punctuation 4
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
187
 
4.4%
141
 
3.3%
133
 
3.1%
121
 
2.8%
97
 
2.3%
85
 
2.0%
66
 
1.6%
58
 
1.4%
55
 
1.3%
51
 
1.2%
Other values (460) 3260
76.6%
Uppercase Letter
ValueCountFrequency (%)
S 15
 
8.2%
N 15
 
8.2%
E 15
 
8.2%
A 13
 
7.1%
G 13
 
7.1%
O 12
 
6.6%
R 11
 
6.0%
T 11
 
6.0%
I 10
 
5.5%
L 9
 
4.9%
Other values (14) 59
32.2%
Lowercase Letter
ValueCountFrequency (%)
a 9
9.5%
t 9
9.5%
o 8
 
8.4%
i 8
 
8.4%
e 8
 
8.4%
u 8
 
8.4%
n 7
 
7.4%
y 7
 
7.4%
r 5
 
5.3%
h 5
 
5.3%
Other values (9) 21
22.1%
Decimal Number
ValueCountFrequency (%)
2 12
29.3%
5 10
24.4%
1 6
14.6%
7 3
 
7.3%
0 3
 
7.3%
9 3
 
7.3%
8 2
 
4.9%
3 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 1
25.0%
! 1
25.0%
1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4252
85.7%
Common 431
 
8.7%
Latin 278
 
5.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
187
 
4.4%
141
 
3.3%
133
 
3.1%
121
 
2.8%
97
 
2.3%
85
 
2.0%
66
 
1.6%
58
 
1.4%
55
 
1.3%
51
 
1.2%
Other values (458) 3258
76.6%
Latin
ValueCountFrequency (%)
S 15
 
5.4%
N 15
 
5.4%
E 15
 
5.4%
A 13
 
4.7%
G 13
 
4.7%
O 12
 
4.3%
R 11
 
4.0%
T 11
 
4.0%
I 10
 
3.6%
L 9
 
3.2%
Other values (33) 154
55.4%
Common
ValueCountFrequency (%)
199
46.2%
) 92
21.3%
( 91
21.1%
2 12
 
2.8%
5 10
 
2.3%
1 6
 
1.4%
- 4
 
0.9%
7 3
 
0.7%
0 3
 
0.7%
9 3
 
0.7%
Other values (6) 8
 
1.9%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4252
85.7%
ASCII 708
 
14.3%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
28.1%
) 92
 
13.0%
( 91
 
12.9%
S 15
 
2.1%
N 15
 
2.1%
E 15
 
2.1%
A 13
 
1.8%
G 13
 
1.8%
O 12
 
1.7%
2 12
 
1.7%
Other values (48) 231
32.6%
Hangul
ValueCountFrequency (%)
187
 
4.4%
141
 
3.3%
133
 
3.1%
121
 
2.8%
97
 
2.3%
85
 
2.0%
66
 
1.6%
58
 
1.4%
55
 
1.3%
51
 
1.2%
Other values (458) 3258
76.6%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct676
Distinct (%)97.3%
Missing7
Missing (%)1.0%
Memory size5.6 KiB
2024-04-06T18:41:03.555917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length38.430216
Min length22

Characters and Unicode

Total characters26709
Distinct characters335
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique662 ?
Unique (%)95.3%

Sample

1st row인천광역시 미추홀구 독배로 465 (숭의동,2층)
2nd row인천광역시 미추홀구 소성로 164, 1층 101-1호 (학익동)
3rd row인천광역시 미추홀구 경원대로 858, 9층 (주안동, 시티빌딩)
4th row인천광역시 미추홀구 소성로 146 (학익동)
5th row인천광역시 미추홀구 주안로 112, 7층 (주안동, 대동빌딩)
ValueCountFrequency (%)
인천광역시 695
 
13.9%
미추홀구 695
 
13.9%
주안동 288
 
5.7%
용현동 127
 
2.5%
도화동 97
 
1.9%
1층 81
 
1.6%
학익동 65
 
1.3%
숭의동 59
 
1.2%
2층 59
 
1.2%
경인로 51
 
1.0%
Other values (1182) 2792
55.7%
2024-04-06T18:41:04.021343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4322
 
16.2%
1 1020
 
3.8%
, 908
 
3.4%
908
 
3.4%
902
 
3.4%
784
 
2.9%
775
 
2.9%
754
 
2.8%
752
 
2.8%
713
 
2.7%
Other values (325) 14871
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15067
56.4%
Decimal Number 4625
 
17.3%
Space Separator 4322
 
16.2%
Other Punctuation 908
 
3.4%
Open Punctuation 698
 
2.6%
Close Punctuation 698
 
2.6%
Uppercase Letter 195
 
0.7%
Dash Punctuation 124
 
0.5%
Lowercase Letter 67
 
0.3%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
908
 
6.0%
902
 
6.0%
784
 
5.2%
775
 
5.1%
754
 
5.0%
752
 
5.0%
713
 
4.7%
707
 
4.7%
706
 
4.7%
702
 
4.7%
Other values (279) 7364
48.9%
Uppercase Letter
ValueCountFrequency (%)
S 32
16.4%
B 24
12.3%
I 19
9.7%
E 17
8.7%
T 16
8.2%
J 15
7.7%
V 14
7.2%
W 14
7.2%
K 13
6.7%
A 12
 
6.2%
Other values (9) 19
9.7%
Lowercase Letter
ValueCountFrequency (%)
e 15
22.4%
k 13
19.4%
y 13
19.4%
r 7
10.4%
o 7
10.4%
w 7
10.4%
g 1
 
1.5%
b 1
 
1.5%
a 1
 
1.5%
v 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 1020
22.1%
0 659
14.2%
2 651
14.1%
3 569
12.3%
4 417
9.0%
5 363
 
7.8%
6 268
 
5.8%
8 266
 
5.8%
7 236
 
5.1%
9 176
 
3.8%
Space Separator
ValueCountFrequency (%)
4322
100.0%
Other Punctuation
ValueCountFrequency (%)
, 908
100.0%
Open Punctuation
ValueCountFrequency (%)
( 698
100.0%
Close Punctuation
ValueCountFrequency (%)
) 698
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15067
56.4%
Common 11380
42.6%
Latin 262
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
908
 
6.0%
902
 
6.0%
784
 
5.2%
775
 
5.1%
754
 
5.0%
752
 
5.0%
713
 
4.7%
707
 
4.7%
706
 
4.7%
702
 
4.7%
Other values (279) 7364
48.9%
Latin
ValueCountFrequency (%)
S 32
 
12.2%
B 24
 
9.2%
I 19
 
7.3%
E 17
 
6.5%
T 16
 
6.1%
e 15
 
5.7%
J 15
 
5.7%
V 14
 
5.3%
W 14
 
5.3%
K 13
 
5.0%
Other values (20) 83
31.7%
Common
ValueCountFrequency (%)
4322
38.0%
1 1020
 
9.0%
, 908
 
8.0%
( 698
 
6.1%
) 698
 
6.1%
0 659
 
5.8%
2 651
 
5.7%
3 569
 
5.0%
4 417
 
3.7%
5 363
 
3.2%
Other values (6) 1075
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15067
56.4%
ASCII 11642
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4322
37.1%
1 1020
 
8.8%
, 908
 
7.8%
( 698
 
6.0%
) 698
 
6.0%
0 659
 
5.7%
2 651
 
5.6%
3 569
 
4.9%
4 417
 
3.6%
5 363
 
3.1%
Other values (36) 1337
 
11.5%
Hangul
ValueCountFrequency (%)
908
 
6.0%
902
 
6.0%
784
 
5.2%
775
 
5.1%
754
 
5.0%
752
 
5.0%
713
 
4.7%
707
 
4.7%
706
 
4.7%
702
 
4.7%
Other values (279) 7364
48.9%
Distinct633
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-04-06T18:41:04.406802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length28.206553
Min length18

Characters and Unicode

Total characters19801
Distinct characters311
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique593 ?
Unique (%)84.5%

Sample

1st row인천광역시 미추홀구 숭의동 301-12 2층
2nd row인천광역시 미추홀구 학익동 252-28
3rd row인천광역시 미추홀구 주안동 939-30
4th row인천광역시 미추홀구 학익동 256-19
5th row인천광역시 미추홀구 주안동 133-3 대동빌딩 7층
ValueCountFrequency (%)
인천광역시 702
18.4%
미추홀구 702
18.4%
주안동 297
 
7.8%
용현동 129
 
3.4%
도화동 97
 
2.5%
학익동 66
 
1.7%
숭의동 60
 
1.6%
관교동 38
 
1.0%
1층 24
 
0.6%
인천 21
 
0.6%
Other values (1009) 1674
43.9%
2024-04-06T18:41:04.879278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3608
 
18.2%
1 866
 
4.4%
825
 
4.2%
762
 
3.8%
750
 
3.8%
738
 
3.7%
717
 
3.6%
717
 
3.6%
714
 
3.6%
714
 
3.6%
Other values (301) 9390
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11372
57.4%
Decimal Number 3966
 
20.0%
Space Separator 3608
 
18.2%
Dash Punctuation 570
 
2.9%
Uppercase Letter 171
 
0.9%
Lowercase Letter 69
 
0.3%
Other Punctuation 39
 
0.2%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
825
 
7.3%
762
 
6.7%
750
 
6.6%
738
 
6.5%
717
 
6.3%
717
 
6.3%
714
 
6.3%
714
 
6.3%
712
 
6.3%
702
 
6.2%
Other values (254) 4021
35.4%
Uppercase Letter
ValueCountFrequency (%)
S 32
18.7%
I 19
11.1%
E 17
9.9%
T 17
9.9%
W 14
8.2%
J 14
8.2%
V 14
8.2%
K 13
7.6%
A 8
 
4.7%
B 7
 
4.1%
Other values (8) 16
9.4%
Lowercase Letter
ValueCountFrequency (%)
e 15
21.7%
y 13
18.8%
k 13
18.8%
w 7
10.1%
o 7
10.1%
r 7
10.1%
b 2
 
2.9%
a 2
 
2.9%
v 1
 
1.4%
g 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 866
21.8%
2 502
12.7%
0 501
12.6%
3 389
9.8%
4 375
9.5%
5 350
8.8%
6 330
 
8.3%
7 223
 
5.6%
8 222
 
5.6%
9 208
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 37
94.9%
/ 1
 
2.6%
. 1
 
2.6%
Space Separator
ValueCountFrequency (%)
3608
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 570
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11372
57.4%
Common 8189
41.4%
Latin 240
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
825
 
7.3%
762
 
6.7%
750
 
6.6%
738
 
6.5%
717
 
6.3%
717
 
6.3%
714
 
6.3%
714
 
6.3%
712
 
6.3%
702
 
6.2%
Other values (254) 4021
35.4%
Latin
ValueCountFrequency (%)
S 32
13.3%
I 19
 
7.9%
E 17
 
7.1%
T 17
 
7.1%
e 15
 
6.2%
W 14
 
5.8%
J 14
 
5.8%
V 14
 
5.8%
y 13
 
5.4%
k 13
 
5.4%
Other values (19) 72
30.0%
Common
ValueCountFrequency (%)
3608
44.1%
1 866
 
10.6%
- 570
 
7.0%
2 502
 
6.1%
0 501
 
6.1%
3 389
 
4.8%
4 375
 
4.6%
5 350
 
4.3%
6 330
 
4.0%
7 223
 
2.7%
Other values (8) 475
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11372
57.4%
ASCII 8429
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3608
42.8%
1 866
 
10.3%
- 570
 
6.8%
2 502
 
6.0%
0 501
 
5.9%
3 389
 
4.6%
4 375
 
4.4%
5 350
 
4.2%
6 330
 
3.9%
7 223
 
2.6%
Other values (37) 715
 
8.5%
Hangul
ValueCountFrequency (%)
825
 
7.3%
762
 
6.7%
750
 
6.6%
738
 
6.5%
717
 
6.3%
717
 
6.3%
714
 
6.3%
714
 
6.3%
712
 
6.3%
702
 
6.2%
Other values (254) 4021
35.4%

Interactions

2024-04-06T18:41:01.492470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-06T18:41:01.629869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:41:01.754941image/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

연번업종명업소명소재지(도로명)소재지(지번)
01건강기능식품일반판매업마임 동인천지사인천광역시 미추홀구 독배로 465 (숭의동,2층)인천광역시 미추홀구 숭의동 301-12 2층
12건강기능식품일반판매업정관장학익점인천광역시 미추홀구 소성로 164, 1층 101-1호 (학익동)인천광역시 미추홀구 학익동 252-28
23건강기능식품일반판매업유니베라주안대리점인천광역시 미추홀구 경원대로 858, 9층 (주안동, 시티빌딩)인천광역시 미추홀구 주안동 939-30
34건강기능식품일반판매업(주)지에스리테일 학익점인천광역시 미추홀구 소성로 146 (학익동)인천광역시 미추홀구 학익동 256-19
45건강기능식품일반판매업(주)화진화장품인천광역시 미추홀구 주안로 112, 7층 (주안동, 대동빌딩)인천광역시 미추홀구 주안동 133-3 대동빌딩 7층
56건강기능식품일반판매업신인천자연건강인천광역시 미추홀구 구월로 17, 702호 (주안동)인천광역시 미추홀구 주안동 1586-14
67건강기능식품일반판매업주안제일지사 마임인천광역시 미추홀구 경인로 455 (주안동)인천광역시 미추홀구 주안동 955-1
78건강기능식품일반판매업녹십초알로에인천광역시 미추홀구 인주대로266번길 3 (용현동,2층)인천광역시 미추홀구 용현동 3-6 2층
89건강기능식품일반판매업김정문알로에주안지부인천광역시 미추홀구 경원대로 853 (주안동,삼미쇼핑 1층 18호)인천광역시 미추홀구 주안동 1000-7 삼미쇼핑 1층 18호
910건강기능식품일반판매업정관장홍삼인천광역시 미추홀구 미추홀대로 599 (주안동)인천광역시 미추홀구 주안동 1457-8
연번업종명업소명소재지(도로명)소재지(지번)
692693건강기능식품일반판매업쿠키네마트인천광역시 미추홀구 경인북길 415-8, B01호 (도화동, 제일탑스빌)인천광역시 미추홀구 도화동 498-4 제일탑스빌
693694건강기능식품일반판매업럭셔리 뷰티 숭의지사인천광역시 미추홀구 경인로 45, 2층 (숭의동)인천광역시 미추홀구 숭의동 147-38
694695건강기능식품일반판매업여택코리아인천광역시 미추홀구 경인남길118번길 41-1, 금성주택 (용현동)인천광역시 미추홀구 용현동 99-11 금성주택
695696건강기능식품일반판매업디자인쿡인천광역시 미추홀구 수봉북로 5, 2층 201호 (도화동)인천광역시 미추홀구 도화동 631-3
696697건강기능식품일반판매업엘라브릿지인천광역시 미추홀구 수봉북로12번길 58-11, 503호 (숭의동, 유진에코빌)인천광역시 미추홀구 숭의동 3-63 유진에코빌
697698건강기능식품일반판매업노티드 인천 롯데인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점
698699건강기능식품일반판매업큐사랑인천광역시 미추홀구 미추홀대로578번길 19, 1층 좌측호 (주안동)인천광역시 미추홀구 주안동 1465-32
699700건강기능식품일반판매업뷰티메디인천광역시 미추홀구 인주대로 261, 금호빌딩 가동 4층 일부호 (주안동)인천광역시 미추홀구 주안동 677-4 금호빌딩
700701건강기능식품일반판매업미네마인인천광역시 미추홀구 남주길 150, 115동 602호 (주안동, 힐스테이트 푸르지오 주안)인천광역시 미추홀구 주안동 1452-2 힐스테이트 푸르지오 주안
701702건강기능식품일반판매업천수농장인천광역시 미추홀구 석정로324번길 14, 1층 (도화동)인천광역시 미추홀구 도화동 131-20