Overview

Dataset statistics

Number of variables6
Number of observations169
Missing cells53
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory48.8 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description경상북도 포항시 식품유통업 현황에 관한 데이터로 식품유통업 업체명, 주소, 전화번호 등에 관한 정보를 제공합니다.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15030593/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지도로명주소 has 3 (1.8%) missing valuesMissing
전화번호 has 50 (29.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:49:01.299886
Analysis finished2023-12-12 22:49:02.227450
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
식품소분업
169 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 169
100.0%

Length

2023-12-13T07:49:02.299374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:49:02.400427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 169
100.0%

업소명
Text

Distinct168
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:49:02.647996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.591716
Min length2

Characters and Unicode

Total characters1114
Distinct characters264
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

Unique167 ?
Unique (%)98.8%

Sample

1st row(주)정화식품상사
2nd row노승사
3rd row동아스파우현점
4th row정화식품
5th row한성수산식품(주)
ValueCountFrequency (%)
주)서원유통 4
 
2.0%
탑마트 4
 
2.0%
건어물 3
 
1.5%
빅마트 2
 
1.0%
포항점 2
 
1.0%
그린스토아 2
 
1.0%
산해담 1
 
0.5%
에브리데이연일식자재마트 1
 
0.5%
건어물이 1
 
0.5%
전광수커피 1
 
0.5%
Other values (176) 176
89.3%
2023-12-13T07:49:03.075003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 30
 
2.7%
어 29
 
2.6%
( 28
 
2.5%
) 28
 
2.5%
28
 
2.5%
마 26
 
2.3%
주 25
 
2.2%
물 25
 
2.2%
상 25
 
2.2%
트 24
 
2.2%
Other values (254) 846
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1008
90.5%
Open Punctuation 28
 
2.5%
Close Punctuation 28
 
2.5%
Space Separator 28
 
2.5%
Lowercase Letter 10
 
0.9%
Uppercase Letter 5
 
0.4%
Decimal Number 4
 
0.4%
Dash Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 30
 
3.0%
어 29
 
2.9%
마 26
 
2.6%
주 25
 
2.5%
물 25
 
2.5%
상 25
 
2.5%
트 24
 
2.4%
회 24
 
2.4%
수 24
 
2.4%
포 23
 
2.3%
Other values (235) 753
74.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
o 2
20.0%
c 2
20.0%
s 1
 
10.0%
h 1
 
10.0%
t 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
R 2
40.0%
I 1
20.0%
E 1
20.0%
P 1
20.0%
Decimal Number
ValueCountFrequency (%)
8 1
25.0%
4 1
25.0%
0 1
25.0%
9 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1008
90.5%
Common 91
 
8.2%
Latin 15
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 30
 
3.0%
어 29
 
2.9%
마 26
 
2.6%
주 25
 
2.5%
물 25
 
2.5%
상 25
 
2.5%
트 24
 
2.4%
회 24
 
2.4%
수 24
 
2.4%
포 23
 
2.3%
Other values (235) 753
74.7%
Latin
ValueCountFrequency (%)
e 3
20.0%
o 2
13.3%
c 2
13.3%
R 2
13.3%
I 1
 
6.7%
E 1
 
6.7%
P 1
 
6.7%
s 1
 
6.7%
h 1
 
6.7%
t 1
 
6.7%
Common
ValueCountFrequency (%)
( 28
30.8%
) 28
30.8%
28
30.8%
- 2
 
2.2%
8 1
 
1.1%
, 1
 
1.1%
4 1
 
1.1%
0 1
 
1.1%
9 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1008
90.5%
ASCII 106
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 30
 
3.0%
어 29
 
2.9%
마 26
 
2.6%
주 25
 
2.5%
물 25
 
2.5%
상 25
 
2.5%
트 24
 
2.4%
회 24
 
2.4%
수 24
 
2.4%
포 23
 
2.3%
Other values (235) 753
74.7%
ASCII
ValueCountFrequency (%)
( 28
26.4%
) 28
26.4%
28
26.4%
e 3
 
2.8%
o 2
 
1.9%
c 2
 
1.9%
R 2
 
1.9%
- 2
 
1.9%
I 1
 
0.9%
8 1
 
0.9%
Other values (9) 9
 
8.5%

소재지도로명주소
Text

MISSING 

Distinct162
Distinct (%)97.6%
Missing3
Missing (%)1.8%
Memory size1.4 KiB
2023-12-13T07:49:03.377210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length29.096386
Min length22

Characters and Unicode

Total characters4830
Distinct characters151
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

Unique159 ?
Unique (%)95.8%

Sample

1st row경상북도 포항시 북구 송라면 해안로 2763
2nd row경상북도 포항시 북구 두호로37번길 8 (두호동)
3rd row경상북도 포항시 북구 아치로 57 (우현동)
4th row경상북도 포항시 북구 중앙로419번길 12-1 (우현동)
5th row경상북도 포항시 남구 구룡포읍 병포길 130
ValueCountFrequency (%)
경상북도 166
 
15.3%
포항시 166
 
15.3%
북구 109
 
10.1%
남구 57
 
5.3%
죽도동 39
 
3.6%
1층 33
 
3.0%
흥해읍 12
 
1.1%
구룡포읍 11
 
1.0%
죽도시장13길 9
 
0.8%
장성동 9
 
0.8%
Other values (308) 473
43.6%
2023-12-13T07:49:03.775241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
918
19.0%
북 275
 
5.7%
도 262
 
5.4%
시 198
 
4.1%
1 189
 
3.9%
포 187
 
3.9%
상 178
 
3.7%
구 178
 
3.7%
항 170
 
3.5%
경 166
 
3.4%
Other values (141) 2109
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2875
59.5%
Space Separator 918
 
19.0%
Decimal Number 674
 
14.0%
Open Punctuation 121
 
2.5%
Close Punctuation 121
 
2.5%
Other Punctuation 65
 
1.3%
Dash Punctuation 46
 
1.0%
Uppercase Letter 8
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 275
 
9.6%
도 262
 
9.1%
시 198
 
6.9%
포 187
 
6.5%
상 178
 
6.2%
구 178
 
6.2%
항 170
 
5.9%
경 166
 
5.8%
동 145
 
5.0%
로 122
 
4.2%
Other values (121) 994
34.6%
Decimal Number
ValueCountFrequency (%)
1 189
28.0%
2 104
15.4%
3 85
12.6%
4 52
 
7.7%
7 52
 
7.7%
0 45
 
6.7%
5 43
 
6.4%
6 37
 
5.5%
8 37
 
5.5%
9 30
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
D 3
37.5%
A 3
37.5%
B 1
 
12.5%
J 1
 
12.5%
Space Separator
ValueCountFrequency (%)
918
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Other Punctuation
ValueCountFrequency (%)
, 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2875
59.5%
Common 1945
40.3%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 275
 
9.6%
도 262
 
9.1%
시 198
 
6.9%
포 187
 
6.5%
상 178
 
6.2%
구 178
 
6.2%
항 170
 
5.9%
경 166
 
5.8%
동 145
 
5.0%
로 122
 
4.2%
Other values (121) 994
34.6%
Common
ValueCountFrequency (%)
918
47.2%
1 189
 
9.7%
( 121
 
6.2%
) 121
 
6.2%
2 104
 
5.3%
3 85
 
4.4%
, 65
 
3.3%
4 52
 
2.7%
7 52
 
2.7%
- 46
 
2.4%
Other values (5) 192
 
9.9%
Latin
ValueCountFrequency (%)
D 3
30.0%
A 3
30.0%
c 2
20.0%
B 1
 
10.0%
J 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2875
59.5%
ASCII 1955
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
47.0%
1 189
 
9.7%
( 121
 
6.2%
) 121
 
6.2%
2 104
 
5.3%
3 85
 
4.3%
, 65
 
3.3%
4 52
 
2.7%
7 52
 
2.7%
- 46
 
2.4%
Other values (10) 202
 
10.3%
Hangul
ValueCountFrequency (%)
북 275
 
9.6%
도 262
 
9.1%
시 198
 
6.9%
포 187
 
6.5%
상 178
 
6.2%
구 178
 
6.2%
항 170
 
5.9%
경 166
 
5.8%
동 145
 
5.0%
로 122
 
4.2%
Other values (121) 994
34.6%

소재지지번주소
Text

Distinct166
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:49:04.079908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length25.331361
Min length20

Characters and Unicode

Total characters4281
Distinct characters138
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

Unique163 ?
Unique (%)96.4%

Sample

1st row경상북도 포항시 북구 송라면 조사리 357
2nd row경상북도 포항시 북구 두호동 1055-2
3rd row경상북도 포항시 북구 우현동 335-4
4th row경상북도 포항시 북구 우현동 92-6
5th row경상북도 포항시 남구 구룡포읍 병포리 181
ValueCountFrequency (%)
경상북도 169
17.1%
포항시 169
17.1%
북구 111
 
11.3%
남구 58
 
5.9%
죽도동 43
 
4.4%
1층 27
 
2.7%
흥해읍 12
 
1.2%
구룡포읍 11
 
1.1%
장성동 9
 
0.9%
양덕동 8
 
0.8%
Other values (275) 369
37.4%
2023-12-13T07:49:04.619100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
978
22.8%
북 280
 
6.5%
도 235
 
5.5%
1 198
 
4.6%
포 193
 
4.5%
구 189
 
4.4%
상 178
 
4.2%
시 171
 
4.0%
항 170
 
4.0%
경 169
 
3.9%
Other values (128) 1520
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2394
55.9%
Space Separator 978
22.8%
Decimal Number 735
 
17.2%
Dash Punctuation 136
 
3.2%
Other Punctuation 13
 
0.3%
Uppercase Letter 12
 
0.3%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 280
11.7%
도 235
 
9.8%
포 193
 
8.1%
구 189
 
7.9%
상 178
 
7.4%
시 171
 
7.1%
항 170
 
7.1%
경 169
 
7.1%
동 130
 
5.4%
남 61
 
2.5%
Other values (106) 618
25.8%
Decimal Number
ValueCountFrequency (%)
1 198
26.9%
2 88
12.0%
5 81
11.0%
4 73
 
9.9%
6 68
 
9.3%
3 57
 
7.8%
8 56
 
7.6%
0 47
 
6.4%
7 39
 
5.3%
9 28
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
33.3%
D 3
25.0%
L 2
16.7%
A 1
 
8.3%
J 1
 
8.3%
F 1
 
8.3%
Space Separator
ValueCountFrequency (%)
978
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2394
55.9%
Common 1874
43.8%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 280
11.7%
도 235
 
9.8%
포 193
 
8.1%
구 189
 
7.9%
상 178
 
7.4%
시 171
 
7.1%
항 170
 
7.1%
경 169
 
7.1%
동 130
 
5.4%
남 61
 
2.5%
Other values (106) 618
25.8%
Common
ValueCountFrequency (%)
978
52.2%
1 198
 
10.6%
- 136
 
7.3%
2 88
 
4.7%
5 81
 
4.3%
4 73
 
3.9%
6 68
 
3.6%
3 57
 
3.0%
8 56
 
3.0%
0 47
 
2.5%
Other values (5) 92
 
4.9%
Latin
ValueCountFrequency (%)
B 4
30.8%
D 3
23.1%
L 2
15.4%
A 1
 
7.7%
c 1
 
7.7%
J 1
 
7.7%
F 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2394
55.9%
ASCII 1887
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
978
51.8%
1 198
 
10.5%
- 136
 
7.2%
2 88
 
4.7%
5 81
 
4.3%
4 73
 
3.9%
6 68
 
3.6%
3 57
 
3.0%
8 56
 
3.0%
0 47
 
2.5%
Other values (12) 105
 
5.6%
Hangul
ValueCountFrequency (%)
북 280
11.7%
도 235
 
9.8%
포 193
 
8.1%
구 189
 
7.9%
상 178
 
7.4%
시 171
 
7.1%
항 170
 
7.1%
경 169
 
7.1%
동 130
 
5.4%
남 61
 
2.5%
Other values (106) 618
25.8%

전화번호
Text

MISSING 

Distinct117
Distinct (%)98.3%
Missing50
Missing (%)29.6%
Memory size1.4 KiB
2023-12-13T07:49:04.869066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.067227
Min length12

Characters and Unicode

Total characters1436
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

Unique115 ?
Unique (%)96.6%

Sample

1st row054-247-0958
2nd row054-247-0295
3rd row054-248-3068
4th row054-247-7021
5th row054-276-6792
ValueCountFrequency (%)
070-8770-5424 2
 
1.7%
054-262-2438 2
 
1.7%
054-2929-300 1
 
0.8%
054-247-0958 1
 
0.8%
054-246-6205 1
 
0.8%
054-231-0032 1
 
0.8%
054-284-5371 1
 
0.8%
054-255-7782 1
 
0.8%
070-7677-9285 1
 
0.8%
054-275-4793 1
 
0.8%
Other values (107) 107
89.9%
2023-12-13T07:49:05.246615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 238
16.6%
4 205
14.3%
2 197
13.7%
0 196
13.6%
5 181
12.6%
8 92
 
6.4%
7 83
 
5.8%
3 73
 
5.1%
6 70
 
4.9%
1 70
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1198
83.4%
Dash Punctuation 238
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 205
17.1%
2 197
16.4%
0 196
16.4%
5 181
15.1%
8 92
7.7%
7 83
6.9%
3 73
 
6.1%
6 70
 
5.8%
1 70
 
5.8%
9 31
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1436
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 238
16.6%
4 205
14.3%
2 197
13.7%
0 196
13.6%
5 181
12.6%
8 92
 
6.4%
7 83
 
5.8%
3 73
 
5.1%
6 70
 
4.9%
1 70
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 238
16.6%
4 205
14.3%
2 197
13.7%
0 196
13.6%
5 181
12.6%
8 92
 
6.4%
7 83
 
5.8%
3 73
 
5.1%
6 70
 
4.9%
1 70
 
4.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2021-10-15 00:00:00
Maximum2021-10-15 00:00:00
2023-12-13T07:49:05.358943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:49:05.439553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T07:49:01.681706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:49:01.785683image/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.
2023-12-13T07:49:02.175686image/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

업종명업소명소재지도로명주소소재지지번주소전화번호데이터기준일자
0식품소분업(주)정화식품상사경상북도 포항시 북구 송라면 해안로 2763경상북도 포항시 북구 송라면 조사리 357054-247-09582021-10-15
1식품소분업노승사경상북도 포항시 북구 두호로37번길 8 (두호동)경상북도 포항시 북구 두호동 1055-2054-247-02952021-10-15
2식품소분업동아스파우현점경상북도 포항시 북구 아치로 57 (우현동)경상북도 포항시 북구 우현동 335-4054-248-30682021-10-15
3식품소분업정화식품경상북도 포항시 북구 중앙로419번길 12-1 (우현동)경상북도 포항시 북구 우현동 92-6054-247-70212021-10-15
4식품소분업한성수산식품(주)경상북도 포항시 남구 구룡포읍 병포길 130경상북도 포항시 남구 구룡포읍 병포리 181054-276-67922021-10-15
5식품소분업새시대식품경상북도 포항시 남구 오천읍 해병로337번길 24-6경상북도 포항시 남구 오천읍 문덕리 10-302054-276-49222021-10-15
6식품소분업용현상회경상북도 포항시 북구 죽도시장11길 12-7 (죽도동)경상북도 포항시 북구 죽도동 2-31054-242-14952021-10-15
7식품소분업부일수산경상북도 포항시 남구 구룡포읍 하정로 200경상북도 포항시 남구 구룡포읍 병포리 235-1054-276-51362021-10-15
8식품소분업이레마트경상북도 포항시 북구 새마을로 94 (용흥동)경상북도 포항시 북구 용흥동 355-1054-2438-2892021-10-15
9식품소분업하니마트경상북도 포항시 북구 삼흥로100번길 56 (두호동)경상북도 포항시 북구 두호동 1076-1<NA>2021-10-15
업종명업소명소재지도로명주소소재지지번주소전화번호데이터기준일자
159식품소분업틸엠티네스트경상북도 포항시 남구 상공로104번길 25, 광장시장 (대도동)경상북도 포항시 남구 대도동 127-8 광장시장 B동 210호<NA>2021-10-15
160식품소분업포항나누우리터(포항황금수산)경상북도 포항시 북구 흥해읍 사방공원길 502, D동 2층경상북도 포항시 북구 흥해읍 오도리 514-1 ,D동 2층054-262-81512021-10-15
161식품소분업진미제과점경상북도 포항시 남구 중앙로122번길 29-1 (해도동)경상북도 포항시 남구 해도동 420-5<NA>2021-10-15
162식품소분업이강컴퍼니경상북도 포항시 북구 양덕로6번길 65-14, 1층 (양덕동)경상북도 포항시 북구 양덕동 2134 ,1층<NA>2021-10-15
163식품소분업마이레시피경상북도 포항시 남구 효성로 12, 1층 (효자동)경상북도 포항시 남구 효자동 569 ,1층070-7585-90602021-10-15
164식품소분업동해홈마트경상북도 포항시 남구 동해면 일월로 89, 1층경상북도 포항시 남구 동해면 도구리 704 ,1층<NA>2021-10-15
165식품소분업양지건어물상회경상북도 포항시 남구 중앙로134번길 27, 큰동해종합시장 다동 1층 22호 (해도동)경상북도 포항시 남구 해도동 435-2 큰동해종합시장<NA>2021-10-15
166식품소분업수산애경상북도 포항시 남구 구룡포읍 용주로 27경상북도 포항시 남구 구룡포읍 구룡포리 338-4<NA>2021-10-15
167식품소분업(주)더힘찬푸드경상북도 포항시 남구 호미곶면 일출로642번길 7, 2층경상북도 포항시 남구 호미곶면 강사리 17-1054-276-31662021-10-15
168식품소분업아이엠봉봉경상북도 포항시 남구 효성로93번길 22-6 (효자동)경상북도 포항시 남구 효자동 584-7<NA>2021-10-15