Overview

Dataset statistics

Number of variables5
Number of observations491
Missing cells238
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory40.3 B

Variable types

Categorical1
Text4

Dataset

Description인천광역시 부평구 즉석판매제조가공업 현황입니다.
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/15084146/fileData.do

Alerts

업종명 has constant value ""Constant
소재지(도로명) has 21 (4.3%) missing valuesMissing
소재지전화 has 217 (44.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:42:22.461544
Analysis finished2023-12-12 14:42:23.363974
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
즉석판매제조가공업
491 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 491
100.0%

Length

2023-12-12T23:42:23.465119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:42:23.606969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 491
100.0%

업소명
Text

Distinct477
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T23:42:23.907626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length6.3156823
Min length2

Characters and Unicode

Total characters3101
Distinct characters471
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)94.9%

Sample

1st row하나방앗간
2nd row델핀
3rd row건거니집
4th row시루마을
5th row강원흑염소
ValueCountFrequency (%)
낙원떡방아간 5
 
0.9%
부평점 5
 
0.9%
삼산점 3
 
0.5%
더백설기 3
 
0.5%
정관장 3
 
0.5%
주식회사 3
 
0.5%
산곡점 3
 
0.5%
낙원떡집 2
 
0.4%
sweet 2
 
0.4%
종로떡방아간 2
 
0.4%
Other values (522) 537
94.5%
2023-12-12T23:42:24.460660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
2.5%
방 70
 
2.3%
아 64
 
2.1%
원 64
 
2.1%
부 62
 
2.0%
점 60
 
1.9%
간 56
 
1.8%
강 55
 
1.8%
) 52
 
1.7%
산 52
 
1.7%
Other values (461) 2489
80.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2716
87.6%
Lowercase Letter 108
 
3.5%
Space Separator 77
 
2.5%
Uppercase Letter 60
 
1.9%
Close Punctuation 52
 
1.7%
Open Punctuation 52
 
1.7%
Decimal Number 31
 
1.0%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 70
 
2.6%
아 64
 
2.4%
원 64
 
2.4%
부 62
 
2.3%
점 60
 
2.2%
간 56
 
2.1%
강 55
 
2.0%
산 52
 
1.9%
찬 51
 
1.9%
떡 50
 
1.8%
Other values (404) 2132
78.5%
Lowercase Letter
ValueCountFrequency (%)
e 20
18.5%
o 13
12.0%
a 11
10.2%
s 7
 
6.5%
t 6
 
5.6%
c 5
 
4.6%
i 5
 
4.6%
n 5
 
4.6%
m 5
 
4.6%
r 4
 
3.7%
Other values (12) 27
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 8
13.3%
S 8
13.3%
O 6
10.0%
A 6
10.0%
R 5
8.3%
C 4
 
6.7%
F 4
 
6.7%
N 3
 
5.0%
H 3
 
5.0%
T 3
 
5.0%
Other values (8) 10
16.7%
Decimal Number
ValueCountFrequency (%)
1 9
29.0%
0 5
16.1%
3 4
12.9%
7 3
 
9.7%
2 3
 
9.7%
5 2
 
6.5%
9 2
 
6.5%
8 1
 
3.2%
4 1
 
3.2%
6 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
/ 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2715
87.6%
Common 217
 
7.0%
Latin 168
 
5.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 70
 
2.6%
아 64
 
2.4%
원 64
 
2.4%
부 62
 
2.3%
점 60
 
2.2%
간 56
 
2.1%
강 55
 
2.0%
산 52
 
1.9%
찬 51
 
1.9%
떡 50
 
1.8%
Other values (403) 2131
78.5%
Latin
ValueCountFrequency (%)
e 20
 
11.9%
o 13
 
7.7%
a 11
 
6.5%
E 8
 
4.8%
S 8
 
4.8%
s 7
 
4.2%
O 6
 
3.6%
t 6
 
3.6%
A 6
 
3.6%
c 5
 
3.0%
Other values (30) 78
46.4%
Common
ValueCountFrequency (%)
77
35.5%
) 52
24.0%
( 52
24.0%
1 9
 
4.1%
0 5
 
2.3%
3 4
 
1.8%
7 3
 
1.4%
2 3
 
1.4%
5 2
 
0.9%
9 2
 
0.9%
Other values (7) 8
 
3.7%
Han
ValueCountFrequency (%)
貞 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2715
87.6%
ASCII 385
 
12.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
20.0%
) 52
13.5%
( 52
13.5%
e 20
 
5.2%
o 13
 
3.4%
a 11
 
2.9%
1 9
 
2.3%
E 8
 
2.1%
S 8
 
2.1%
s 7
 
1.8%
Other values (47) 128
33.2%
Hangul
ValueCountFrequency (%)
방 70
 
2.6%
아 64
 
2.4%
원 64
 
2.4%
부 62
 
2.3%
점 60
 
2.2%
간 56
 
2.1%
강 55
 
2.0%
산 52
 
1.9%
찬 51
 
1.9%
떡 50
 
1.8%
Other values (403) 2131
78.5%
CJK
ValueCountFrequency (%)
貞 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct458
Distinct (%)97.4%
Missing21
Missing (%)4.3%
Memory size4.0 KiB
2023-12-12T23:42:24.820238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length33.670213
Min length21

Characters and Unicode

Total characters15825
Distinct characters233
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique446 ?
Unique (%)94.9%

Sample

1st row인천광역시 부평구 갈월서로 45 (갈산동 하나아파트 상가 지층1호 지층11호)
2nd row인천광역시 부평구 장제로 45 부평 현대 더로프트 1층 111호 (부평동)
3rd row인천광역시 부평구 배곶로 59 (십정동)
4th row인천광역시 부평구 체육관로 14 삼산지구 복합시설 1층 118-B호 (삼산동)
5th row인천광역시 부평구 길주남로 8 가동 103호 (부평동)
ValueCountFrequency (%)
인천광역시 470
 
14.7%
부평구 470
 
14.7%
1층 244
 
7.6%
부평동 168
 
5.3%
일부호 144
 
4.5%
산곡동 77
 
2.4%
십정동 57
 
1.8%
부개동 49
 
1.5%
삼산동 39
 
1.2%
갈산동 39
 
1.2%
Other values (617) 1442
45.1%
2023-12-12T23:42:25.285429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3118
19.7%
부 1024
 
6.5%
1 814
 
5.1%
평 705
 
4.5%
동 565
 
3.6%
천 521
 
3.3%
인 495
 
3.1%
시 490
 
3.1%
( 486
 
3.1%
) 486
 
3.1%
Other values (223) 7121
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9194
58.1%
Space Separator 3118
 
19.7%
Decimal Number 2416
 
15.3%
Open Punctuation 486
 
3.1%
Close Punctuation 486
 
3.1%
Dash Punctuation 92
 
0.6%
Uppercase Letter 30
 
0.2%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1024
 
11.1%
평 705
 
7.7%
동 565
 
6.1%
천 521
 
5.7%
인 495
 
5.4%
시 490
 
5.3%
광 481
 
5.2%
역 480
 
5.2%
구 474
 
5.2%
로 473
 
5.1%
Other values (193) 3486
37.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
26.7%
S 4
13.3%
M 3
 
10.0%
G 3
 
10.0%
A 3
 
10.0%
C 2
 
6.7%
F 1
 
3.3%
K 1
 
3.3%
I 1
 
3.3%
X 1
 
3.3%
Other values (3) 3
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 814
33.7%
2 332
13.7%
3 238
 
9.9%
4 207
 
8.6%
0 186
 
7.7%
5 160
 
6.6%
7 143
 
5.9%
6 142
 
5.9%
8 104
 
4.3%
9 90
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
@ 1
50.0%
Space Separator
ValueCountFrequency (%)
3118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 486
100.0%
Close Punctuation
ValueCountFrequency (%)
) 486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9194
58.1%
Common 6601
41.7%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1024
 
11.1%
평 705
 
7.7%
동 565
 
6.1%
천 521
 
5.7%
인 495
 
5.4%
시 490
 
5.3%
광 481
 
5.2%
역 480
 
5.2%
구 474
 
5.2%
로 473
 
5.1%
Other values (193) 3486
37.9%
Common
ValueCountFrequency (%)
3118
47.2%
1 814
 
12.3%
( 486
 
7.4%
) 486
 
7.4%
2 332
 
5.0%
3 238
 
3.6%
4 207
 
3.1%
0 186
 
2.8%
5 160
 
2.4%
7 143
 
2.2%
Other values (7) 431
 
6.5%
Latin
ValueCountFrequency (%)
B 8
26.7%
S 4
13.3%
M 3
 
10.0%
G 3
 
10.0%
A 3
 
10.0%
C 2
 
6.7%
F 1
 
3.3%
K 1
 
3.3%
I 1
 
3.3%
X 1
 
3.3%
Other values (3) 3
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9194
58.1%
ASCII 6631
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3118
47.0%
1 814
 
12.3%
( 486
 
7.3%
) 486
 
7.3%
2 332
 
5.0%
3 238
 
3.6%
4 207
 
3.1%
0 186
 
2.8%
5 160
 
2.4%
7 143
 
2.2%
Other values (20) 461
 
7.0%
Hangul
ValueCountFrequency (%)
부 1024
 
11.1%
평 705
 
7.7%
동 565
 
6.1%
천 521
 
5.7%
인 495
 
5.4%
시 490
 
5.3%
광 481
 
5.2%
역 480
 
5.2%
구 474
 
5.2%
로 473
 
5.1%
Other values (193) 3486
37.9%

소재지(지번)
Text

Distinct474
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T23:42:25.602891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length24.769857
Min length17

Characters and Unicode

Total characters12162
Distinct characters211
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique457 ?
Unique (%)93.1%

Sample

1st row인천광역시 부평구 갈산동 362 하나아파트 상가 지층1호 지층11호
2nd row인천광역시 부평구 부평동 539-2 외10필지 부평 현대 더로프트 111호
3rd row인천광역시 부평구 십정동 320
4th row인천광역시 부평구 삼산동 462-1 삼산지구 복합시설 118-B호
5th row인천광역시 부평구 부평동 433-80 가동 103호
ValueCountFrequency (%)
인천광역시 491
19.2%
부평구 491
19.2%
부평동 177
 
6.9%
1층 129
 
5.0%
산곡동 81
 
3.2%
일부 79
 
3.1%
십정동 57
 
2.2%
부개동 49
 
1.9%
갈산동 42
 
1.6%
삼산동 40
 
1.6%
Other values (634) 920
36.0%
2023-12-12T23:42:26.101864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2091
17.2%
부 835
 
6.9%
평 692
 
5.7%
1 671
 
5.5%
동 531
 
4.4%
천 525
 
4.3%
역 500
 
4.1%
시 497
 
4.1%
구 495
 
4.1%
광 494
 
4.1%
Other values (201) 4831
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6870
56.5%
Decimal Number 2677
 
22.0%
Space Separator 2091
 
17.2%
Dash Punctuation 463
 
3.8%
Uppercase Letter 26
 
0.2%
Open Punctuation 16
 
0.1%
Close Punctuation 16
 
0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 835
12.2%
평 692
10.1%
동 531
 
7.7%
천 525
 
7.6%
역 500
 
7.3%
시 497
 
7.2%
구 495
 
7.2%
광 494
 
7.2%
인 493
 
7.2%
산 180
 
2.6%
Other values (171) 1628
23.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
30.8%
S 3
 
11.5%
M 3
 
11.5%
A 2
 
7.7%
G 2
 
7.7%
F 1
 
3.8%
I 1
 
3.8%
K 1
 
3.8%
C 1
 
3.8%
X 1
 
3.8%
Other values (3) 3
 
11.5%
Decimal Number
ValueCountFrequency (%)
1 671
25.1%
2 397
14.8%
3 289
10.8%
4 226
 
8.4%
0 219
 
8.2%
5 214
 
8.0%
6 191
 
7.1%
7 167
 
6.2%
8 160
 
6.0%
9 143
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
@ 1
50.0%
Space Separator
ValueCountFrequency (%)
2091
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 463
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6870
56.5%
Common 5266
43.3%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 835
12.2%
평 692
10.1%
동 531
 
7.7%
천 525
 
7.6%
역 500
 
7.3%
시 497
 
7.2%
구 495
 
7.2%
광 494
 
7.2%
인 493
 
7.2%
산 180
 
2.6%
Other values (171) 1628
23.7%
Common
ValueCountFrequency (%)
2091
39.7%
1 671
 
12.7%
- 463
 
8.8%
2 397
 
7.5%
3 289
 
5.5%
4 226
 
4.3%
0 219
 
4.2%
5 214
 
4.1%
6 191
 
3.6%
7 167
 
3.2%
Other values (7) 338
 
6.4%
Latin
ValueCountFrequency (%)
B 8
30.8%
S 3
 
11.5%
M 3
 
11.5%
A 2
 
7.7%
G 2
 
7.7%
F 1
 
3.8%
I 1
 
3.8%
K 1
 
3.8%
C 1
 
3.8%
X 1
 
3.8%
Other values (3) 3
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6870
56.5%
ASCII 5292
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2091
39.5%
1 671
 
12.7%
- 463
 
8.7%
2 397
 
7.5%
3 289
 
5.5%
4 226
 
4.3%
0 219
 
4.1%
5 214
 
4.0%
6 191
 
3.6%
7 167
 
3.2%
Other values (20) 364
 
6.9%
Hangul
ValueCountFrequency (%)
부 835
12.2%
평 692
10.1%
동 531
 
7.7%
천 525
 
7.6%
역 500
 
7.3%
시 497
 
7.2%
구 495
 
7.2%
광 494
 
7.2%
인 493
 
7.2%
산 180
 
2.6%
Other values (171) 1628
23.7%

소재지전화
Text

MISSING 

Distinct270
Distinct (%)98.5%
Missing217
Missing (%)44.2%
Memory size4.0 KiB
2023-12-12T23:42:26.347433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010949
Min length9

Characters and Unicode

Total characters3291
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

Unique266 ?
Unique (%)97.1%

Sample

1st row032-435-5186
2nd row032-330-3434
3rd row032-519-8780
4th row032-506-2004
5th row032-524-5458
ValueCountFrequency (%)
032-521-0153 2
 
0.7%
032-509-2530 2
 
0.7%
032-502-0950 2
 
0.7%
032-363-2500 2
 
0.7%
032-276-9361 1
 
0.4%
032-524-5728 1
 
0.4%
032-422-7723 1
 
0.4%
032-511-8607 1
 
0.4%
032-523-3020 1
 
0.4%
032-361-4433 1
 
0.4%
Other values (260) 260
94.9%
2023-12-12T23:42:26.773457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 547
16.6%
2 535
16.3%
3 496
15.1%
0 488
14.8%
5 363
11.0%
1 196
 
6.0%
4 149
 
4.5%
6 145
 
4.4%
7 133
 
4.0%
8 132
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2744
83.4%
Dash Punctuation 547
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 535
19.5%
3 496
18.1%
0 488
17.8%
5 363
13.2%
1 196
 
7.1%
4 149
 
5.4%
6 145
 
5.3%
7 133
 
4.8%
8 132
 
4.8%
9 107
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 547
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 547
16.6%
2 535
16.3%
3 496
15.1%
0 488
14.8%
5 363
11.0%
1 196
 
6.0%
4 149
 
4.5%
6 145
 
4.4%
7 133
 
4.0%
8 132
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 547
16.6%
2 535
16.3%
3 496
15.1%
0 488
14.8%
5 363
11.0%
1 196
 
6.0%
4 149
 
4.5%
6 145
 
4.4%
7 133
 
4.0%
8 132
 
4.0%

Missing values

2023-12-12T23:42:22.969669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:42:23.118260image/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.
2023-12-12T23:42:23.274623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명업소명소재지(도로명)소재지(지번)소재지전화
0즉석판매제조가공업하나방앗간인천광역시 부평구 갈월서로 45 (갈산동 하나아파트 상가 지층1호 지층11호)인천광역시 부평구 갈산동 362 하나아파트 상가 지층1호 지층11호<NA>
1즉석판매제조가공업델핀인천광역시 부평구 장제로 45 부평 현대 더로프트 1층 111호 (부평동)인천광역시 부평구 부평동 539-2 외10필지 부평 현대 더로프트 111호<NA>
2즉석판매제조가공업건거니집인천광역시 부평구 배곶로 59 (십정동)인천광역시 부평구 십정동 320032-435-5186
3즉석판매제조가공업시루마을인천광역시 부평구 체육관로 14 삼산지구 복합시설 1층 118-B호 (삼산동)인천광역시 부평구 삼산동 462-1 삼산지구 복합시설 118-B호032-330-3434
4즉석판매제조가공업강원흑염소인천광역시 부평구 길주남로 8 가동 103호 (부평동)인천광역시 부평구 부평동 433-80 가동 103호032-519-8780
5즉석판매제조가공업(주)지에스리테일 지에스더프레쉬 인천부개점인천광역시 부평구 부개로 10 (부개동 1층 일부)인천광역시 부평구 부개동 501-8 1층 일부032-506-2004
6즉석판매제조가공업강남고추방아간인천광역시 부평구 원적로315번길 45 (산곡동)인천광역시 부평구 산곡동 87-240032-524-5458
7즉석판매제조가공업손두부랑인천광역시 부평구 주부토로 231 1층 (갈산동 115호 일부)인천광역시 부평구 갈산동 171-45 1층 115호 일부032-503-9622
8즉석판매제조가공업꼭지네반찬인천광역시 부평구 동수로128번길 17-4 (부개동)인천광역시 부평구 부개동 251032-504-2009
9즉석판매제조가공업국앤쿡인천광역시 부평구 화랑남로9번길 21 1층 일부호 (산곡동)인천광역시 부평구 산곡동 311-43032-526-8001
업종명업소명소재지(도로명)소재지(지번)소재지전화
481즉석판매제조가공업열두달반찬인천광역시 부평구 장제로222번길 30 1층 101호 (부개동)인천광역시 부평구 부개동 482<NA>
482즉석판매제조가공업대우방아간인천광역시 부평구 남부역로 9 (부평동)인천광역시 부평구 부평동 742-1032-516-2929
483즉석판매제조가공업만나반찬인천광역시 부평구 배곶남로21번길 18 116호 일부호 (십정동)인천광역시 부평구 십정동 321<NA>
484즉석판매제조가공업인천고추상회인천광역시 부평구 배곶남로21번길 29 (십정동)인천광역시 부평구 십정동 353-4<NA>
485즉석판매제조가공업롯데쇼핑(주)롯데마트삼산점인천광역시 부평구 길주로 623 (삼산동 롯데마트삼산점 청과코너)인천광역시 부평구 삼산동 465-1 롯데마트삼산점 청과코너032-363-2535
486즉석판매제조가공업시장떡방아간인천광역시 부평구 배곶남로21번길 18 (십정동)인천광역시 부평구 십정동 321-5032-425-7702
487즉석판매제조가공업엔타스커피인천광역시 부평구 장제로 227 주안빌딩 1층 101호 일부호 (부평동)인천광역시 부평구 부평동 10-561 주안빌딩<NA>
488즉석판매제조가공업부여기름집인천광역시 부평구 시장로51번길 21 1층 일부호 (부평동)인천광역시 부평구 부평동 229-15 외2필지 1층 일부032-503-2206
489즉석판매제조가공업노엘라앙금플라워케이크/수제간식인천광역시 부평구 화랑남로9번길 17 (산곡동 1층 일부)인천광역시 부평구 산곡동 311-44 1층 일부<NA>
490즉석판매제조가공업홍삼힐링건강원인천광역시 부평구 경인로1118번길 3 1층 5호 (일신동)인천광역시 부평구 일신동 109-17 외2필지 1층 5호032-521-3073