Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells5
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory70.1 B

Variable types

Categorical2
Text5
Numeric1

Dataset

Description경상북도 울진군 식품유통판매업체현황(업종, 업소명, 대표자, 전화번호, 도로명주소, 지번주소, 우편번호 등)을 제공합니다.
Author경상북도 울진군
URLhttps://www.data.go.kr/data/15030787/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 5 (19.2%) missing valuesMissing
업소명 has unique valuesUnique
대표자 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:09:42.926549
Analysis finished2023-12-12 05:09:43.839381
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
유통전문판매업
14 
집단급식소 식품판매업
12 

Length

Max length11
Median length7
Mean length8.8461538
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통전문판매업 14
53.8%
집단급식소 식품판매업 12
46.2%

Length

2023-12-12T14:09:43.964300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:44.133909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 14
36.8%
집단급식소 12
31.6%
식품판매업 12
31.6%

업소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:09:44.394881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.0769231
Min length3

Characters and Unicode

Total characters184
Distinct characters88
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row농업회사법인(주)한농
2nd row보경상사
3rd row하늘마음농장
4th row왕돌수산
5th row덕운수산(주)
ValueCountFrequency (%)
농업회사법인(주)한농 1
 
3.4%
농업회사법인(주)청담정바이오 1
 
3.4%
유)야생초 1
 
3.4%
주)베스코울진 1
 
3.4%
매일우유울진대리점 1
 
3.4%
화일유통 1
 
3.4%
울진그린유통 1
 
3.4%
왕돌초영어조합법인 1
 
3.4%
주)울진유통농업회사법인 1
 
3.4%
동해농축산물유통영농조합법인 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T14:09:44.918647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
5.4%
( 7
 
3.8%
7
 
3.8%
) 7
 
3.8%
6
 
3.3%
6
 
3.3%
5
 
2.7%
5
 
2.7%
5
 
2.7%
5
 
2.7%
Other values (78) 121
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
90.2%
Open Punctuation 7
 
3.8%
Close Punctuation 7
 
3.8%
Space Separator 3
 
1.6%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
6.0%
7
 
4.2%
6
 
3.6%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
Other values (74) 108
65.1%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
90.2%
Common 18
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
6.0%
7
 
4.2%
6
 
3.6%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
Other values (74) 108
65.1%
Common
ValueCountFrequency (%)
( 7
38.9%
) 7
38.9%
3
16.7%
· 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
90.2%
ASCII 17
 
9.2%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
6.0%
7
 
4.2%
6
 
3.6%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
Other values (74) 108
65.1%
ASCII
ValueCountFrequency (%)
( 7
41.2%
) 7
41.2%
3
17.6%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:09:45.217160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9615385
Min length2

Characters and Unicode

Total characters77
Distinct characters52
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

Unique26 ?
Unique (%)100.0%

Sample

1st row안광정
2nd row남승섭
3rd row박찬득
4th row김희
5th row김종태
ValueCountFrequency (%)
안광정 1
 
3.8%
남승섭 1
 
3.8%
남우영 1
 
3.8%
김주환 1
 
3.8%
김정순 1
 
3.8%
김광범 1
 
3.8%
김성규 1
 
3.8%
박종만 1
 
3.8%
정종근 1
 
3.8%
조인숙 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T14:09:45.579920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
14.3%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (42) 43
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
14.3%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (42) 43
55.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
14.3%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (42) 43
55.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
14.3%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (42) 43
55.8%

전화번호
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing5
Missing (%)19.2%
Memory size340.0 B
2023-12-12T14:09:45.773790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique19 ?
Unique (%)90.5%

Sample

1st row054-782-2762
2nd row054-783-8286
3rd row054-783-3326
4th row054-787-0655
5th row054-781-4774
ValueCountFrequency (%)
054-787-0655 2
 
9.5%
054-782-7998 1
 
4.8%
054-782-2762 1
 
4.8%
054-781-3334 1
 
4.8%
054-781-5669 1
 
4.8%
054-783-2333 1
 
4.8%
054-783-1817 1
 
4.8%
054-781-4560 1
 
4.8%
054-781-6421 1
 
4.8%
054-781-8945 1
 
4.8%
Other values (10) 10
47.6%
2023-12-12T14:09:46.086372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
5 31
12.3%
7 31
12.3%
4 27
10.7%
8 27
10.7%
0 25
9.9%
1 21
8.3%
3 19
7.5%
6 13
 
5.2%
2 12
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 31
14.8%
7 31
14.8%
4 27
12.9%
8 27
12.9%
0 25
11.9%
1 21
10.0%
3 19
9.0%
6 13
6.2%
2 12
 
5.7%
9 4
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.7%
5 31
12.3%
7 31
12.3%
4 27
10.7%
8 27
10.7%
0 25
9.9%
1 21
8.3%
3 19
7.5%
6 13
 
5.2%
2 12
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
5 31
12.3%
7 31
12.3%
4 27
10.7%
8 27
10.7%
0 25
9.9%
1 21
8.3%
3 19
7.5%
6 13
 
5.2%
2 12
 
4.8%

도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:09:46.318435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length23.269231
Min length20

Characters and Unicode

Total characters605
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row경상북도 울진군 금강송면 왕피길 35
2nd row경상북도 울진군 울진읍 향교로 40-1
3rd row경상북도 울진군 금강송면 쌍전2길 296-15
4th row경상북도 울진군 죽변면 죽변항길 173, 왕돌회센터
5th row경상북도 울진군 평해읍 박실길 32 (주)덕운수산
ValueCountFrequency (%)
경상북도 26
19.3%
울진군 26
19.3%
울진읍 9
 
6.7%
죽변면 6
 
4.4%
평해읍 3
 
2.2%
금강송면 3
 
2.2%
울진중앙로 3
 
2.2%
근남면 2
 
1.5%
울진북로 2
 
1.5%
해양과학길 2
 
1.5%
Other values (46) 53
39.3%
2023-12-12T14:09:46.693388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
18.0%
40
 
6.6%
40
 
6.6%
33
 
5.5%
27
 
4.5%
26
 
4.3%
26
 
4.3%
26
 
4.3%
1 22
 
3.6%
2 19
 
3.1%
Other values (73) 237
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
64.1%
Space Separator 109
 
18.0%
Decimal Number 92
 
15.2%
Dash Punctuation 11
 
1.8%
Other Punctuation 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
10.3%
40
 
10.3%
33
 
8.5%
27
 
7.0%
26
 
6.7%
26
 
6.7%
26
 
6.7%
16
 
4.1%
14
 
3.6%
14
 
3.6%
Other values (58) 126
32.5%
Decimal Number
ValueCountFrequency (%)
1 22
23.9%
2 19
20.7%
3 11
12.0%
5 10
10.9%
7 10
10.9%
0 7
 
7.6%
4 4
 
4.3%
6 3
 
3.3%
9 3
 
3.3%
8 3
 
3.3%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
64.1%
Common 217
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
10.3%
40
 
10.3%
33
 
8.5%
27
 
7.0%
26
 
6.7%
26
 
6.7%
26
 
6.7%
16
 
4.1%
14
 
3.6%
14
 
3.6%
Other values (58) 126
32.5%
Common
ValueCountFrequency (%)
109
50.2%
1 22
 
10.1%
2 19
 
8.8%
3 11
 
5.1%
- 11
 
5.1%
5 10
 
4.6%
7 10
 
4.6%
0 7
 
3.2%
4 4
 
1.8%
, 3
 
1.4%
Other values (5) 11
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
64.1%
ASCII 217
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
50.2%
1 22
 
10.1%
2 19
 
8.8%
3 11
 
5.1%
- 11
 
5.1%
5 10
 
4.6%
7 10
 
4.6%
0 7
 
3.2%
4 4
 
1.8%
, 3
 
1.4%
Other values (5) 11
 
5.1%
Hangul
ValueCountFrequency (%)
40
 
10.3%
40
 
10.3%
33
 
8.5%
27
 
7.0%
26
 
6.7%
26
 
6.7%
26
 
6.7%
16
 
4.1%
14
 
3.6%
14
 
3.6%
Other values (58) 126
32.5%

지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:09:46.911213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length23.961538
Min length20

Characters and Unicode

Total characters623
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row경상북도 울진군 금강송면 삼근리 80-21
2nd row경상북도 울진군 울진읍 읍내리 654-3
3rd row경상북도 울진군 금강송면 쌍전리 364
4th row경상북도 울진군 죽변면 죽변리 10-13 왕돌회센터
5th row경상북도 울진군 평해읍 거일리 104 (주)덕운수산
ValueCountFrequency (%)
경상북도 26
19.3%
울진군 26
19.3%
울진읍 9
 
6.7%
읍내리 7
 
5.2%
죽변면 6
 
4.4%
평해읍 3
 
2.2%
금강송면 3
 
2.2%
후정리 3
 
2.2%
죽변리 3
 
2.2%
688-3 2
 
1.5%
Other values (42) 47
34.8%
2023-12-12T14:09:47.270532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
21.5%
36
 
5.8%
35
 
5.6%
29
 
4.7%
27
 
4.3%
26
 
4.2%
26
 
4.2%
26
 
4.2%
26
 
4.2%
19
 
3.0%
Other values (62) 239
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
58.9%
Space Separator 134
 
21.5%
Decimal Number 101
 
16.2%
Dash Punctuation 19
 
3.0%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
9.8%
35
 
9.5%
29
 
7.9%
27
 
7.4%
26
 
7.1%
26
 
7.1%
26
 
7.1%
26
 
7.1%
19
 
5.2%
14
 
3.8%
Other values (48) 103
28.1%
Decimal Number
ValueCountFrequency (%)
1 18
17.8%
2 15
14.9%
3 14
13.9%
6 13
12.9%
0 12
11.9%
4 8
7.9%
8 7
 
6.9%
9 6
 
5.9%
5 5
 
5.0%
7 3
 
3.0%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
58.9%
Common 256
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
9.8%
35
 
9.5%
29
 
7.9%
27
 
7.4%
26
 
7.1%
26
 
7.1%
26
 
7.1%
26
 
7.1%
19
 
5.2%
14
 
3.8%
Other values (48) 103
28.1%
Common
ValueCountFrequency (%)
134
52.3%
- 19
 
7.4%
1 18
 
7.0%
2 15
 
5.9%
3 14
 
5.5%
6 13
 
5.1%
0 12
 
4.7%
4 8
 
3.1%
8 7
 
2.7%
9 6
 
2.3%
Other values (4) 10
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
58.9%
ASCII 256
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
52.3%
- 19
 
7.4%
1 18
 
7.0%
2 15
 
5.9%
3 14
 
5.5%
6 13
 
5.1%
0 12
 
4.7%
4 8
 
3.1%
8 7
 
2.7%
9 6
 
2.3%
Other values (4) 10
 
3.9%
Hangul
ValueCountFrequency (%)
36
 
9.8%
35
 
9.5%
29
 
7.9%
27
 
7.4%
26
 
7.1%
26
 
7.1%
26
 
7.1%
26
 
7.1%
19
 
5.2%
14
 
3.8%
Other values (48) 103
28.1%

우편번호
Real number (ℝ)

Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36325.308
Minimum36300
Maximum36368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T14:09:47.509972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36300
5-th percentile36301.25
Q136315
median36322
Q336327.5
95-th percentile36367.5
Maximum36368
Range68
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation19.65252
Coefficient of variation (CV)0.00054101455
Kurtosis0.65758655
Mean36325.308
Median Absolute Deviation (MAD)7
Skewness1.138853
Sum944458
Variance386.22154
MonotonicityNot monotonic
2023-12-12T14:09:47.655589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
36315 5
19.2%
36368 2
 
7.7%
36326 2
 
7.7%
36322 2
 
7.7%
36301 1
 
3.8%
36316 1
 
3.8%
36328 1
 
3.8%
36305 1
 
3.8%
36338 1
 
3.8%
36333 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
36300 1
 
3.8%
36301 1
 
3.8%
36302 1
 
3.8%
36305 1
 
3.8%
36311 1
 
3.8%
36315 5
19.2%
36316 1
 
3.8%
36321 1
 
3.8%
36322 2
 
7.7%
36323 1
 
3.8%
ValueCountFrequency (%)
36368 2
7.7%
36366 1
3.8%
36358 1
3.8%
36338 1
3.8%
36333 1
3.8%
36328 1
3.8%
36326 2
7.7%
36325 1
3.8%
36324 1
3.8%
36323 1
3.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2021-09-30
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-30
2nd row2021-09-30
3rd row2021-09-30
4th row2021-09-30
5th row2021-09-30

Common Values

ValueCountFrequency (%)
2021-09-30 26
100.0%

Length

2023-12-12T14:09:47.879199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:48.039450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-30 26
100.0%

Interactions

2023-12-12T14:09:43.387329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:09:48.219666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업소명대표자전화번호도로명주소지번주소우편번호
업종1.0001.0001.0001.0001.0001.0000.620
업소명1.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.000
우편번호0.6201.0001.0001.0001.0001.0001.000
2023-12-12T14:09:48.382998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호업종
우편번호1.0000.415
업종0.4151.000

Missing values

2023-12-12T14:09:43.568470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:09:43.761626image/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

업종업소명대표자전화번호도로명주소지번주소우편번호데이터기준일
0유통전문판매업농업회사법인(주)한농안광정054-782-2762경상북도 울진군 금강송면 왕피길 35경상북도 울진군 금강송면 삼근리 80-21363012021-09-30
1유통전문판매업보경상사남승섭054-783-8286경상북도 울진군 울진읍 향교로 40-1경상북도 울진군 울진읍 읍내리 654-3363232021-09-30
2유통전문판매업하늘마음농장박찬득054-783-3326경상북도 울진군 금강송면 쌍전2길 296-15경상북도 울진군 금강송면 쌍전리 364363002021-09-30
3유통전문판매업왕돌수산김희<NA>경상북도 울진군 죽변면 죽변항길 173, 왕돌회센터경상북도 울진군 죽변면 죽변리 10-13 왕돌회센터363152021-09-30
4유통전문판매업덕운수산(주)김종태054-787-0655경상북도 울진군 평해읍 박실길 32 (주)덕운수산경상북도 울진군 평해읍 거일리 104 (주)덕운수산363682021-09-30
5유통전문판매업(주)마린어드벤처장강직054-781-4774경상북도 울진군 죽변면 죽변항길 173경상북도 울진군 죽변면 죽변리 10-13363152021-09-30
6유통전문판매업자연가김은경054-536-7125경상북도 울진군 금강송면 한내길 317경상북도 울진군 금강송면 왕피리 849-2363022021-09-30
7유통전문판매업성류농원이종교<NA>경상북도 울진군 울진읍 울진중앙로 41-5경상북도 울진군 울진읍 읍내리 215-2363262021-09-30
8유통전문판매업김창기 머쉬룸 팜김창기054-782-6631경상북도 울진군 북면 섶실길 72-35경상북도 울진군 북면 소곡리 240-1363112021-09-30
9유통전문판매업우진바이오김진우<NA>경상북도 울진군 죽변면 해양과학길 22경상북도 울진군 죽변면 후정리 688-3363152021-09-30
업종업소명대표자전화번호도로명주소지번주소우편번호데이터기준일
16집단급식소 식품판매업대광농산김동훈054-781-3334경상북도 울진군 죽변면 죽변북로 17경상북도 울진군 죽변면 죽변리 431-2363162021-09-30
17집단급식소 식품판매업동해농축산물유통영농조합법인조인숙054-781-3233경상북도 울진군 울진읍 읍내8길 17-20경상북도 울진군 울진읍 읍내리 511363242021-09-30
18집단급식소 식품판매업(주)울진유통농업회사법인정종근054-781-8945경상북도 울진군 근남면 울진북로 234-17경상북도 울진군 근남면 수산리 330-62363332021-09-30
19집단급식소 식품판매업왕돌초영어조합법인박종만054-781-6421경상북도 울진군 근남면 망양정로 457-5경상북도 울진군 근남면 진복리 193-1363382021-09-30
20집단급식소 식품판매업울진그린유통김성규054-781-4560경상북도 울진군 울진읍 울진중앙로 50경상북도 울진군 울진읍 읍내리 285-2363262021-09-30
21집단급식소 식품판매업화일유통김광범054-783-1817경상북도 울진군 울진읍 새마실2길 35경상북도 울진군 울진읍 읍내리 603-9363222021-09-30
22집단급식소 식품판매업매일우유울진대리점김정순054-783-2333경상북도 울진군 울진읍 울진중앙로 218경상북도 울진군 울진읍 읍내리 616-20363222021-09-30
23집단급식소 식품판매업(주)베스코울진김주환054-781-5669경상북도 울진군 북면 울진북로 2120경상북도 울진군 북면 부구리 224-5363052021-09-30
24집단급식소 식품판매업(유)야생초남우영054-783-1561경상북도 울진군 울진읍 호월1길 172경상북도 울진군 울진읍 호월리 97363282021-09-30
25집단급식소 식품판매업세광한우전문점백철우<NA>경상북도 울진군 죽변면 죽변북로 160경상북도 울진군 죽변면 후정리 639-1363152021-09-30