Overview

Dataset statistics

Number of variables4
Number of observations2086
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory65.3 KiB
Average record size in memory32.1 B

Variable types

Categorical1
Text3

Dataset

Description인천광역시 연수구에 위치한 식품관련업 현황(식품운반업, 식품제조가공업, 식품판매업 등)의 데이터로서 소재지 및 업소명 등의 항목
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3082275&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-18 04:13:32.591159
Analysis finished2024-03-18 04:13:33.465952
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
건강기능식품일반판매업
1038 
즉석판매제조가공업
436 
식품자동판매기영업
232 
유통전문판매업
111 
위탁급식영업
 
91
Other values (8)
178 

Length

Max length13
Median length11
Mean length9.7315436
Min length5

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 1038
49.8%
즉석판매제조가공업 436
20.9%
식품자동판매기영업 232
 
11.1%
유통전문판매업 111
 
5.3%
위탁급식영업 91
 
4.4%
건강기능식품유통전문판매업 49
 
2.3%
식품제조가공업 45
 
2.2%
기타식품판매업 36
 
1.7%
식품소분업 22
 
1.1%
집단급식소 식품판매업 16
 
0.8%
Other values (3) 10
 
0.5%

Length

2024-03-18T13:13:33.525212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건강기능식품일반판매업 1038
49.4%
즉석판매제조가공업 436
20.7%
식품자동판매기영업 232
 
11.0%
유통전문판매업 111
 
5.3%
위탁급식영업 91
 
4.3%
건강기능식품유통전문판매업 49
 
2.3%
식품제조가공업 45
 
2.1%
기타식품판매업 36
 
1.7%
식품소분업 22
 
1.0%
집단급식소 16
 
0.8%
Other values (4) 26
 
1.2%
Distinct1969
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-03-18T13:13:33.768465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length7.9113135
Min length2

Characters and Unicode

Total characters16503
Distinct characters748
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

Unique1882 ?
Unique (%)90.2%

Sample

1st row얼음세계
2nd row농가식품
3rd row청량제과
4th row한우물식품
5th row제이에스푸드
ValueCountFrequency (%)
주식회사 111
 
3.7%
송도점 51
 
1.7%
인셀덤 39
 
1.3%
세븐일레븐 30
 
1.0%
연수점 22
 
0.7%
gs25 20
 
0.7%
이마트24 18
 
0.6%
씨유 17
 
0.6%
인천송도점 15
 
0.5%
송도 13
 
0.4%
Other values (2239) 2644
88.7%
2024-03-18T13:13:34.226361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
895
 
5.4%
547
 
3.3%
507
 
3.1%
439
 
2.7%
) 399
 
2.4%
398
 
2.4%
( 397
 
2.4%
292
 
1.8%
271
 
1.6%
258
 
1.6%
Other values (738) 12100
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13700
83.0%
Space Separator 895
 
5.4%
Uppercase Letter 479
 
2.9%
Close Punctuation 399
 
2.4%
Open Punctuation 397
 
2.4%
Lowercase Letter 382
 
2.3%
Decimal Number 209
 
1.3%
Other Punctuation 36
 
0.2%
Dash Punctuation 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
547
 
4.0%
507
 
3.7%
439
 
3.2%
398
 
2.9%
292
 
2.1%
271
 
2.0%
258
 
1.9%
245
 
1.8%
241
 
1.8%
211
 
1.5%
Other values (670) 10291
75.1%
Lowercase Letter
ValueCountFrequency (%)
e 52
13.6%
o 45
 
11.8%
a 24
 
6.3%
n 24
 
6.3%
t 22
 
5.8%
l 20
 
5.2%
s 20
 
5.2%
r 20
 
5.2%
i 20
 
5.2%
m 17
 
4.5%
Other values (15) 118
30.9%
Uppercase Letter
ValueCountFrequency (%)
S 69
14.4%
G 60
12.5%
C 37
 
7.7%
U 30
 
6.3%
O 26
 
5.4%
H 25
 
5.2%
E 25
 
5.2%
T 22
 
4.6%
A 21
 
4.4%
D 19
 
4.0%
Other values (13) 145
30.3%
Decimal Number
ValueCountFrequency (%)
2 79
37.8%
5 40
19.1%
4 33
15.8%
1 23
 
11.0%
0 10
 
4.8%
3 10
 
4.8%
9 5
 
2.4%
7 4
 
1.9%
6 3
 
1.4%
8 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
& 19
52.8%
, 8
22.2%
. 5
 
13.9%
' 3
 
8.3%
: 1
 
2.8%
Space Separator
ValueCountFrequency (%)
895
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Open Punctuation
ValueCountFrequency (%)
( 397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13700
83.0%
Common 1942
 
11.8%
Latin 861
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
547
 
4.0%
507
 
3.7%
439
 
3.2%
398
 
2.9%
292
 
2.1%
271
 
2.0%
258
 
1.9%
245
 
1.8%
241
 
1.8%
211
 
1.5%
Other values (670) 10291
75.1%
Latin
ValueCountFrequency (%)
S 69
 
8.0%
G 60
 
7.0%
e 52
 
6.0%
o 45
 
5.2%
C 37
 
4.3%
U 30
 
3.5%
O 26
 
3.0%
H 25
 
2.9%
E 25
 
2.9%
a 24
 
2.8%
Other values (38) 468
54.4%
Common
ValueCountFrequency (%)
895
46.1%
) 399
20.5%
( 397
20.4%
2 79
 
4.1%
5 40
 
2.1%
4 33
 
1.7%
1 23
 
1.2%
& 19
 
1.0%
0 10
 
0.5%
3 10
 
0.5%
Other values (10) 37
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13700
83.0%
ASCII 2803
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
895
31.9%
) 399
14.2%
( 397
14.2%
2 79
 
2.8%
S 69
 
2.5%
G 60
 
2.1%
e 52
 
1.9%
o 45
 
1.6%
5 40
 
1.4%
C 37
 
1.3%
Other values (58) 730
26.0%
Hangul
ValueCountFrequency (%)
547
 
4.0%
507
 
3.7%
439
 
3.2%
398
 
2.9%
292
 
2.1%
271
 
2.0%
258
 
1.9%
245
 
1.8%
241
 
1.8%
211
 
1.5%
Other values (670) 10291
75.1%
Distinct1985
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-03-18T13:13:34.492598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length61
Mean length44.537392
Min length9

Characters and Unicode

Total characters92905
Distinct characters434
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1908 ?
Unique (%)91.5%

Sample

1st row인천광역시 연수구 청능말로7번길 4 (청학동,지상1층 (청릉말길60))
2nd row인천광역시 연수구 청량로68번길 9 (동춘동,지하1층,지상1층,지상2층(영락원길20))
3rd row인천광역시 연수구 청량로 76 (동춘동,지상1층(논고개길114))
4th row인천광역시 연수구 새말로35번길 14-13 (연수동, 554-8, 1층)
5th row인천광역시 연수구 청능대로55번길 15, 1층 일부 (청학동)
ValueCountFrequency (%)
인천광역시 2081
 
12.1%
연수구 2081
 
12.1%
송도동 1143
 
6.7%
송도 394
 
2.3%
1층 264
 
1.5%
연수동 255
 
1.5%
동춘동 234
 
1.4%
일부호 207
 
1.2%
옥련동 166
 
1.0%
더샵 142
 
0.8%
Other values (2294) 10178
59.4%
2024-03-18T13:13:34.877505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15063
 
16.2%
1 4311
 
4.6%
3475
 
3.7%
, 3064
 
3.3%
0 2484
 
2.7%
2484
 
2.7%
2478
 
2.7%
2420
 
2.6%
2402
 
2.6%
2 2340
 
2.5%
Other values (424) 52384
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52845
56.9%
Decimal Number 15804
 
17.0%
Space Separator 15063
 
16.2%
Other Punctuation 3087
 
3.3%
Open Punctuation 2285
 
2.5%
Close Punctuation 2285
 
2.5%
Uppercase Letter 1149
 
1.2%
Dash Punctuation 276
 
0.3%
Lowercase Letter 77
 
0.1%
Math Symbol 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3475
 
6.6%
2484
 
4.7%
2478
 
4.7%
2420
 
4.6%
2402
 
4.5%
2338
 
4.4%
2288
 
4.3%
2258
 
4.3%
2218
 
4.2%
2101
 
4.0%
Other values (364) 28383
53.7%
Uppercase Letter
ValueCountFrequency (%)
B 213
18.5%
C 155
13.5%
R 105
9.1%
E 97
8.4%
A 97
8.4%
T 67
 
5.8%
D 53
 
4.6%
I 53
 
4.6%
S 50
 
4.4%
L 44
 
3.8%
Other values (14) 215
18.7%
Lowercase Letter
ValueCountFrequency (%)
e 28
36.4%
s 15
19.5%
t 10
 
13.0%
a 6
 
7.8%
b 5
 
6.5%
m 3
 
3.9%
o 3
 
3.9%
r 2
 
2.6%
w 2
 
2.6%
i 1
 
1.3%
Other values (2) 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 4311
27.3%
0 2484
15.7%
2 2340
14.8%
3 1625
 
10.3%
4 1099
 
7.0%
5 1050
 
6.6%
6 892
 
5.6%
8 823
 
5.2%
7 668
 
4.2%
9 512
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 3064
99.3%
& 9
 
0.3%
@ 8
 
0.3%
. 5
 
0.2%
/ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 22
68.8%
> 5
 
15.6%
< 5
 
15.6%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
15063
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52845
56.9%
Common 38832
41.8%
Latin 1228
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3475
 
6.6%
2484
 
4.7%
2478
 
4.7%
2420
 
4.6%
2402
 
4.5%
2338
 
4.4%
2288
 
4.3%
2258
 
4.3%
2218
 
4.2%
2101
 
4.0%
Other values (364) 28383
53.7%
Latin
ValueCountFrequency (%)
B 213
17.3%
C 155
12.6%
R 105
 
8.6%
E 97
 
7.9%
A 97
 
7.9%
T 67
 
5.5%
D 53
 
4.3%
I 53
 
4.3%
S 50
 
4.1%
L 44
 
3.6%
Other values (28) 294
23.9%
Common
ValueCountFrequency (%)
15063
38.8%
1 4311
 
11.1%
, 3064
 
7.9%
0 2484
 
6.4%
2 2340
 
6.0%
( 2285
 
5.9%
) 2285
 
5.9%
3 1625
 
4.2%
4 1099
 
2.8%
5 1050
 
2.7%
Other values (12) 3226
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52845
56.9%
ASCII 40058
43.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15063
37.6%
1 4311
 
10.8%
, 3064
 
7.6%
0 2484
 
6.2%
2 2340
 
5.8%
( 2285
 
5.7%
) 2285
 
5.7%
3 1625
 
4.1%
4 1099
 
2.7%
5 1050
 
2.6%
Other values (48) 4452
 
11.1%
Hangul
ValueCountFrequency (%)
3475
 
6.6%
2484
 
4.7%
2478
 
4.7%
2420
 
4.6%
2402
 
4.5%
2338
 
4.4%
2288
 
4.3%
2258
 
4.3%
2218
 
4.2%
2101
 
4.0%
Other values (364) 28383
53.7%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1908
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-03-18T13:13:35.113380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length50
Mean length34.502397
Min length16

Characters and Unicode

Total characters71972
Distinct characters415
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1799 ?
Unique (%)86.2%

Sample

1st row인천광역시 연수구 청학동 462 지상1층 (청릉말길60)
2nd row인천광역시 연수구 동춘동 799-2 지하1층,지상1층,지상2층(영락원길20)
3rd row인천광역시 연수구 동춘동 800-11 지상1층(논고개길114)
4th row인천광역시 연수구 연수동 554-8 1층
5th row인천광역시 연수구 청학동 483-3 1층 일부
ValueCountFrequency (%)
인천광역시 2086
 
14.5%
연수구 2086
 
14.5%
송도동 1165
 
8.1%
송도 384
 
2.7%
연수동 278
 
1.9%
동춘동 252
 
1.8%
옥련동 194
 
1.4%
일부호 146
 
1.0%
더샵 140
 
1.0%
청학동 135
 
0.9%
Other values (2288) 7477
52.1%
2024-03-18T13:13:35.513845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13207
 
18.4%
1 3693
 
5.1%
3357
 
4.7%
2485
 
3.5%
2476
 
3.4%
2226
 
3.1%
2 2162
 
3.0%
2160
 
3.0%
0 2153
 
3.0%
2131
 
3.0%
Other values (405) 35922
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40686
56.5%
Decimal Number 14754
 
20.5%
Space Separator 13207
 
18.4%
Dash Punctuation 1620
 
2.3%
Uppercase Letter 1052
 
1.5%
Open Punctuation 189
 
0.3%
Close Punctuation 186
 
0.3%
Other Punctuation 181
 
0.3%
Lowercase Letter 76
 
0.1%
Math Symbol 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3357
 
8.3%
2485
 
6.1%
2476
 
6.1%
2226
 
5.5%
2160
 
5.3%
2131
 
5.2%
2106
 
5.2%
2098
 
5.2%
2096
 
5.2%
1931
 
4.7%
Other values (347) 17620
43.3%
Uppercase Letter
ValueCountFrequency (%)
B 196
18.6%
C 144
13.7%
R 99
9.4%
E 83
7.9%
A 77
 
7.3%
T 67
 
6.4%
D 53
 
5.0%
I 53
 
5.0%
S 46
 
4.4%
L 37
 
3.5%
Other values (14) 197
18.7%
Lowercase Letter
ValueCountFrequency (%)
e 28
36.8%
s 15
19.7%
t 10
 
13.2%
a 6
 
7.9%
b 4
 
5.3%
m 3
 
3.9%
o 3
 
3.9%
r 2
 
2.6%
w 2
 
2.6%
i 1
 
1.3%
Other values (2) 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 3693
25.0%
2 2162
14.7%
0 2153
14.6%
3 1708
11.6%
4 1122
 
7.6%
5 980
 
6.6%
6 898
 
6.1%
9 892
 
6.0%
8 578
 
3.9%
7 568
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 160
88.4%
& 9
 
5.0%
@ 8
 
4.4%
. 3
 
1.7%
/ 1
 
0.6%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
13207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1620
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40686
56.5%
Common 30156
41.9%
Latin 1130
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3357
 
8.3%
2485
 
6.1%
2476
 
6.1%
2226
 
5.5%
2160
 
5.3%
2131
 
5.2%
2106
 
5.2%
2098
 
5.2%
2096
 
5.2%
1931
 
4.7%
Other values (347) 17620
43.3%
Latin
ValueCountFrequency (%)
B 196
17.3%
C 144
12.7%
R 99
 
8.8%
E 83
 
7.3%
A 77
 
6.8%
T 67
 
5.9%
D 53
 
4.7%
I 53
 
4.7%
S 46
 
4.1%
L 37
 
3.3%
Other values (28) 275
24.3%
Common
ValueCountFrequency (%)
13207
43.8%
1 3693
 
12.2%
2 2162
 
7.2%
0 2153
 
7.1%
3 1708
 
5.7%
- 1620
 
5.4%
4 1122
 
3.7%
5 980
 
3.2%
6 898
 
3.0%
9 892
 
3.0%
Other values (10) 1721
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40684
56.5%
ASCII 31284
43.5%
Compat Jamo 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13207
42.2%
1 3693
 
11.8%
2 2162
 
6.9%
0 2153
 
6.9%
3 1708
 
5.5%
- 1620
 
5.2%
4 1122
 
3.6%
5 980
 
3.1%
6 898
 
2.9%
9 892
 
2.9%
Other values (46) 2849
 
9.1%
Hangul
ValueCountFrequency (%)
3357
 
8.3%
2485
 
6.1%
2476
 
6.1%
2226
 
5.5%
2160
 
5.3%
2131
 
5.2%
2106
 
5.2%
2098
 
5.2%
2096
 
5.2%
1931
 
4.7%
Other values (345) 17618
43.3%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

Missing values

2024-03-18T13:13:33.311686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:13:33.431323image/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)
0식품제조가공업얼음세계인천광역시 연수구 청능말로7번길 4 (청학동,지상1층 (청릉말길60))인천광역시 연수구 청학동 462 지상1층 (청릉말길60)
1식품제조가공업농가식품인천광역시 연수구 청량로68번길 9 (동춘동,지하1층,지상1층,지상2층(영락원길20))인천광역시 연수구 동춘동 799-2 지하1층,지상1층,지상2층(영락원길20)
2식품제조가공업청량제과인천광역시 연수구 청량로 76 (동춘동,지상1층(논고개길114))인천광역시 연수구 동춘동 800-11 지상1층(논고개길114)
3식품제조가공업한우물식품인천광역시 연수구 새말로35번길 14-13 (연수동, 554-8, 1층)인천광역시 연수구 연수동 554-8 1층
4식품제조가공업제이에스푸드인천광역시 연수구 청능대로55번길 15, 1층 일부 (청학동)인천광역시 연수구 청학동 483-3 1층 일부
5식품제조가공업(주)리안컴퍼니인천광역시 연수구 송도미래로 30, 송도 BRC 스마트밸리 지식산업센터 에이동 215호 (송도동)인천광역시 연수구 송도동 214 송도 BRC 스마트밸리 지식산업센터 에이동 215호
6식품제조가공업CND코리아인천광역시 연수구 함박뫼로50번길 21-4, 지하1층 (연수동)인천광역시 연수구 연수동 561-5 지하1층
7식품제조가공업크로마이트 로스팅컴퍼니인천광역시 연수구 청량로155번길 39-5 (옥련동, 지하1층)인천광역시 연수구 옥련동 521 지하1층
8식품제조가공업유한책임회사 경인식품유통센터인천광역시 연수구 청명로17번길 10-17 (청학동)인천광역시 연수구 청학동 493-2 지상1층
9식품제조가공업(주)농가인천광역시 연수구 새말로46번길 17-18 (연수동)인천광역시 연수구 연수동 562-5 지상1층
업종명업소명소재지(도로명)소재지(지번)
2076건강기능식품일반판매업영심이스토어인천광역시 연수구 랜드마크로 68, 201동 2703호 (송도동, 랜드마크시티센트럴더샵)인천광역시 연수구 송도동 311 랜드마크시티센트럴더샵 201동 2703호
2077건강기능식품일반판매업주식회사 더로이인천광역시 연수구 해송로30번길 20, 405동 902호 (송도동, 송도 웰카운티 4단지)인천광역시 연수구 송도동 9-5 송도 웰카운티 4단지 405동 902호
2078건강기능식품일반판매업라라이브인천광역시 연수구 청량로 210, 103동 701호 (옥련동, 쌍용아파트)인천광역시 연수구 옥련동 644-1 쌍용아파트 103동 701호
2079건강기능식품일반판매업꼬기스토어인천광역시 연수구 선학로74번길 17, 201동 13층 1307호 (선학동, 대동아파트)인천광역시 연수구 선학동 353 대동아파트 201동 1307호
2080건강기능식품일반판매업디지털노마드인천광역시 연수구 용담로 111, 아시스타워 6층 6377호 (연수동)인천광역시 연수구 연수동 596-6 아시스타워 6377호
2081건강기능식품일반판매업카이로스재팬인천광역시 연수구 해돋이로6번길 33, 104동 13층 1304호 (송도동, 송도해모로아파트)인천광역시 연수구 송도동 3-44 송도해모로아파트 104동 1304호
2082건강기능식품일반판매업디에이치엠인천광역시 연수구 센트럴로 194, 202동 2704호 (송도동, 더샵 센트럴파크2)인천광역시 연수구 송도동 23-4 더샵 센트럴파크2 202동 2704호
2083건강기능식품일반판매업인셀덤제이인천광역시 연수구 컨벤시아대로274번길 15, 2302동 401호 (송도동, 송도 더샵 마스터뷰 23-1BL)인천광역시 연수구 송도동 112 송도 더샵 마스터뷰 23-1BL 2302동 401호
2084건강기능식품일반판매업라온터인천광역시 연수구 송도문화로84번길 24, 송도 에듀포레 푸르지오 204동 30층 3002호 (송도동, 송도 에듀포레 푸르지오)인천광역시 연수구 송도동 191-4 송도 에듀포레 푸르지오 204동 3002호
2085건강기능식품유통전문판매업노보에이치앤비인천광역시 연수구 인천타워대로 99, 애니오션빌딩 8층 일부호 (송도동)인천광역시 연수구 송도동 11-104 애니오션빌딩 8층 일부호

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)# duplicates
0건강기능식품일반판매업퀵쉐프인천광역시 연수구 원인재로 59, 6동 502호 (동춘동, 한양2차아파트)인천광역시 연수구 동춘동 932 한양2차아파트 6동 502호2
1즉석판매제조가공업홈플러스(주) 인천송도점인천광역시 연수구 송도국제대로 165, 지하1층 (송도동, 홈플러스송도점)인천광역시 연수구 송도동 168-3 지하1층 홈플러스송도점2