Overview

Dataset statistics

Number of variables8
Number of observations56
Missing cells14
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory67.4 B

Variable types

Categorical2
Text4
Numeric1
DateTime1

Dataset

Description경상북도 울진군 내의 식품제조가공업현황(업소명, 소재지 도로명주소, 소재지 지번주소, 영업장 면적, 소재지 전화번호, 업태명, 급수시설 등) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15101490/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일 has constant value ""Constant
소재지(도로명) has 1 (1.8%) missing valuesMissing
소재지(지번) has 1 (1.8%) missing valuesMissing
소재지전화 has 12 (21.4%) missing valuesMissing
업소명 has unique valuesUnique
영업장면적(건물내부_건물외부) has unique valuesUnique
영업장면적(건물내부_건물외부) has 1 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-12 16:06:15.409582
Analysis finished2023-12-12 16:06:16.141104
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
식품제조가공업
56 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 56
100.0%

Length

2023-12-13T01:06:16.192007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:16.267898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 56
100.0%

업소명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T01:06:16.463369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.3928571
Min length3

Characters and Unicode

Total characters470
Distinct characters129
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row대후기업(주)
2nd row삼홍실업(주)
3rd row서울식품
4th row(주)하람씨푸드
5th row농업회사법인 (유)한농마을
ValueCountFrequency (%)
농업회사법인 8
 
9.4%
주식회사 5
 
5.9%
영농조합법인 4
 
4.7%
유한회사 3
 
3.5%
유)한농마을 2
 
2.4%
솔담콩 1
 
1.2%
디유푸드(주 1
 
1.2%
산양삼 1
 
1.2%
고초령 1
 
1.2%
매야전통식품 1
 
1.2%
Other values (58) 58
68.2%
2023-12-13T01:06:16.785290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
6.2%
농 24
 
5.1%
주 19
 
4.0%
회 18
 
3.8%
사 18
 
3.8%
식 15
 
3.2%
( 15
 
3.2%
) 15
 
3.2%
법 14
 
3.0%
업 14
 
3.0%
Other values (119) 289
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
86.2%
Space Separator 29
 
6.2%
Open Punctuation 15
 
3.2%
Close Punctuation 15
 
3.2%
Other Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 24
 
5.9%
주 19
 
4.7%
회 18
 
4.4%
사 18
 
4.4%
식 15
 
3.7%
법 14
 
3.5%
업 14
 
3.5%
인 14
 
3.5%
산 13
 
3.2%
품 9
 
2.2%
Other values (111) 247
61.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
86.2%
Common 63
 
13.4%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 24
 
5.9%
주 19
 
4.7%
회 18
 
4.4%
사 18
 
4.4%
식 15
 
3.7%
법 14
 
3.5%
업 14
 
3.5%
인 14
 
3.5%
산 13
 
3.2%
품 9
 
2.2%
Other values (111) 247
61.0%
Common
ValueCountFrequency (%)
29
46.0%
( 15
23.8%
) 15
23.8%
& 2
 
3.2%
3 1
 
1.6%
2 1
 
1.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
86.2%
ASCII 65
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
44.6%
( 15
23.1%
) 15
23.1%
& 2
 
3.1%
3 1
 
1.5%
2 1
 
1.5%
S 1
 
1.5%
F 1
 
1.5%
Hangul
ValueCountFrequency (%)
농 24
 
5.9%
주 19
 
4.7%
회 18
 
4.4%
사 18
 
4.4%
식 15
 
3.7%
법 14
 
3.5%
업 14
 
3.5%
인 14
 
3.5%
산 13
 
3.2%
품 9
 
2.2%
Other values (111) 247
61.0%

소재지(도로명)
Text

MISSING 

Distinct53
Distinct (%)96.4%
Missing1
Missing (%)1.8%
Memory size580.0 B
2023-12-13T01:06:17.017178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length23.218182
Min length19

Characters and Unicode

Total characters1277
Distinct characters104
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

Unique51 ?
Unique (%)92.7%

Sample

1st row경상북도 울진군 후포면 동해대로 318
2nd row경상북도 울진군 후포면 울진대게로 225
3rd row경상북도 울진군 후포면 후포삼율로 20-7
4th row경상북도 울진군 후포면 중밤터2길 17
5th row경상북도 울진군 금강송면 왕피길 56
ValueCountFrequency (%)
경상북도 55
19.3%
울진군 55
19.3%
후포면 9
 
3.2%
평해읍 8
 
2.8%
죽변면 7
 
2.5%
매화면 7
 
2.5%
금강송면 7
 
2.5%
근남면 7
 
2.5%
울진읍 5
 
1.8%
울진대게로 4
 
1.4%
Other values (96) 121
42.5%
2023-12-13T01:06:17.375993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
18.0%
울 68
 
5.3%
진 68
 
5.3%
북 63
 
4.9%
경 56
 
4.4%
도 55
 
4.3%
군 55
 
4.3%
상 55
 
4.3%
면 44
 
3.4%
1 40
 
3.1%
Other values (94) 543
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 808
63.3%
Space Separator 230
 
18.0%
Decimal Number 206
 
16.1%
Dash Punctuation 26
 
2.0%
Other Punctuation 5
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 68
 
8.4%
진 68
 
8.4%
북 63
 
7.8%
경 56
 
6.9%
도 55
 
6.8%
군 55
 
6.8%
상 55
 
6.8%
면 44
 
5.4%
길 35
 
4.3%
로 20
 
2.5%
Other values (79) 289
35.8%
Decimal Number
ValueCountFrequency (%)
1 40
19.4%
2 40
19.4%
3 24
11.7%
4 21
10.2%
5 20
9.7%
7 16
 
7.8%
0 14
 
6.8%
6 13
 
6.3%
9 11
 
5.3%
8 7
 
3.4%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 808
63.3%
Common 469
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 68
 
8.4%
진 68
 
8.4%
북 63
 
7.8%
경 56
 
6.9%
도 55
 
6.8%
군 55
 
6.8%
상 55
 
6.8%
면 44
 
5.4%
길 35
 
4.3%
로 20
 
2.5%
Other values (79) 289
35.8%
Common
ValueCountFrequency (%)
230
49.0%
1 40
 
8.5%
2 40
 
8.5%
- 26
 
5.5%
3 24
 
5.1%
4 21
 
4.5%
5 20
 
4.3%
7 16
 
3.4%
0 14
 
3.0%
6 13
 
2.8%
Other values (5) 25
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 808
63.3%
ASCII 469
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
49.0%
1 40
 
8.5%
2 40
 
8.5%
- 26
 
5.5%
3 24
 
5.1%
4 21
 
4.5%
5 20
 
4.3%
7 16
 
3.4%
0 14
 
3.0%
6 13
 
2.8%
Other values (5) 25
 
5.3%
Hangul
ValueCountFrequency (%)
울 68
 
8.4%
진 68
 
8.4%
북 63
 
7.8%
경 56
 
6.9%
도 55
 
6.8%
군 55
 
6.8%
상 55
 
6.8%
면 44
 
5.4%
길 35
 
4.3%
로 20
 
2.5%
Other values (79) 289
35.8%

소재지(지번)
Text

MISSING 

Distinct53
Distinct (%)96.4%
Missing1
Missing (%)1.8%
Memory size580.0 B
2023-12-13T01:06:17.648510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length23.709091
Min length20

Characters and Unicode

Total characters1304
Distinct characters88
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

Unique51 ?
Unique (%)92.7%

Sample

1st row경상북도 울진군 후포면 금음리 64-4
2nd row경상북도 울진군 후포면 후포리 1061
3rd row경상북도 울진군 후포면 금음리 9-4
4th row경상북도 울진군 후포면 삼율리 717-3
5th row경상북도 울진군 금강송면 삼근리 271 외281-3번지
ValueCountFrequency (%)
경상북도 55
19.2%
울진군 55
19.2%
후포면 9
 
3.1%
평해읍 8
 
2.8%
금강송면 8
 
2.8%
근남면 7
 
2.4%
매화면 7
 
2.4%
죽변면 7
 
2.4%
금음리 5
 
1.7%
후정리 5
 
1.7%
Other values (90) 121
42.2%
2023-12-13T01:06:18.093584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
285
21.9%
진 61
 
4.7%
울 60
 
4.6%
북 59
 
4.5%
경 56
 
4.3%
리 56
 
4.3%
도 55
 
4.2%
군 55
 
4.2%
상 55
 
4.2%
면 45
 
3.5%
Other values (78) 517
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 770
59.0%
Space Separator 285
 
21.9%
Decimal Number 212
 
16.3%
Dash Punctuation 35
 
2.7%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 61
 
7.9%
울 60
 
7.8%
북 59
 
7.7%
경 56
 
7.3%
리 56
 
7.3%
도 55
 
7.1%
군 55
 
7.1%
상 55
 
7.1%
면 45
 
5.8%
후 16
 
2.1%
Other values (64) 252
32.7%
Decimal Number
ValueCountFrequency (%)
1 43
20.3%
8 25
11.8%
3 24
11.3%
6 23
10.8%
4 20
9.4%
2 19
9.0%
0 19
9.0%
7 16
 
7.5%
5 12
 
5.7%
9 11
 
5.2%
Space Separator
ValueCountFrequency (%)
285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 770
59.0%
Common 534
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 61
 
7.9%
울 60
 
7.8%
북 59
 
7.7%
경 56
 
7.3%
리 56
 
7.3%
도 55
 
7.1%
군 55
 
7.1%
상 55
 
7.1%
면 45
 
5.8%
후 16
 
2.1%
Other values (64) 252
32.7%
Common
ValueCountFrequency (%)
285
53.4%
1 43
 
8.1%
- 35
 
6.6%
8 25
 
4.7%
3 24
 
4.5%
6 23
 
4.3%
4 20
 
3.7%
2 19
 
3.6%
0 19
 
3.6%
7 16
 
3.0%
Other values (4) 25
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 770
59.0%
ASCII 534
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
285
53.4%
1 43
 
8.1%
- 35
 
6.6%
8 25
 
4.7%
3 24
 
4.5%
6 23
 
4.3%
4 20
 
3.7%
2 19
 
3.6%
0 19
 
3.6%
7 16
 
3.0%
Other values (4) 25
 
4.7%
Hangul
ValueCountFrequency (%)
진 61
 
7.9%
울 60
 
7.8%
북 59
 
7.7%
경 56
 
7.3%
리 56
 
7.3%
도 55
 
7.1%
군 55
 
7.1%
상 55
 
7.1%
면 45
 
5.8%
후 16
 
2.1%
Other values (64) 252
32.7%

영업장면적(건물내부_건물외부)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520.31
Minimum0
Maximum5293.6
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T01:06:18.225021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.215
Q1108.9
median205.905
Q3493.15
95-th percentile2243.2425
Maximum5293.6
Range5293.6
Interquartile range (IQR)384.25

Descriptive statistics

Standard deviation925.57863
Coefficient of variation (CV)1.7788984
Kurtosis14.891675
Mean520.31
Median Absolute Deviation (MAD)132.57
Skewness3.6935931
Sum29137.36
Variance856695.8
MonotonicityNot monotonic
2023-12-13T01:06:18.366394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3397.06 1
 
1.8%
680.42 1
 
1.8%
109.2 1
 
1.8%
568.56 1
 
1.8%
161.25 1
 
1.8%
260.94 1
 
1.8%
68.4 1
 
1.8%
109.79 1
 
1.8%
78.69 1
 
1.8%
155.85 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
0.0 1
1.8%
33.3 1
1.8%
44.02 1
1.8%
44.28 1
1.8%
48.0 1
1.8%
52.78 1
1.8%
68.4 1
1.8%
78.69 1
1.8%
79.2 1
1.8%
81.9 1
1.8%
ValueCountFrequency (%)
5293.6 1
1.8%
3397.06 1
1.8%
3320.46 1
1.8%
1884.17 1
1.8%
1101.24 1
1.8%
1096.0 1
1.8%
886.2 1
1.8%
856.94 1
1.8%
680.42 1
1.8%
596.72 1
1.8%

소재지전화
Text

MISSING 

Distinct42
Distinct (%)95.5%
Missing12
Missing (%)21.4%
Memory size580.0 B
2023-12-13T01:06:18.583861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022727
Min length12

Characters and Unicode

Total characters529
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

Unique40 ?
Unique (%)90.9%

Sample

1st row054-787-1661
2nd row054-787-1101
3rd row054-788-2314
4th row054-788-1007
5th row054-781-7129
ValueCountFrequency (%)
054-787-0884 2
 
4.5%
054-782-8612 2
 
4.5%
054-788-2111 1
 
2.3%
054-788-1555 1
 
2.3%
054-781-3535 1
 
2.3%
054-780-3400 1
 
2.3%
070-4414-7834 1
 
2.3%
054-783-1561 1
 
2.3%
054-782-2249 1
 
2.3%
054-782-7010 1
 
2.3%
Other values (32) 32
72.7%
2023-12-13T01:06:18.930646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.6%
0 79
14.9%
7 69
13.0%
8 65
12.3%
4 63
11.9%
5 57
10.8%
1 42
7.9%
2 28
 
5.3%
3 21
 
4.0%
6 11
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
83.4%
Dash Punctuation 88
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 79
17.9%
7 69
15.6%
8 65
14.7%
4 63
14.3%
5 57
12.9%
1 42
9.5%
2 28
 
6.3%
3 21
 
4.8%
6 11
 
2.5%
9 6
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 529
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.6%
0 79
14.9%
7 69
13.0%
8 65
12.3%
4 63
11.9%
5 57
10.8%
1 42
7.9%
2 28
 
5.3%
3 21
 
4.0%
6 11
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 529
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.6%
0 79
14.9%
7 69
13.0%
8 65
12.3%
4 63
11.9%
5 57
10.8%
1 42
7.9%
2 28
 
5.3%
3 21
 
4.0%
6 11
 
2.1%

급수시설
Categorical

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
상수도전용
23 
<NA>
20 
간이상수도
11 
지하수전용
 
2

Length

Max length5
Median length5
Mean length4.6428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
3rd row상수도전용
4th row상수도전용
5th row간이상수도

Common Values

ValueCountFrequency (%)
상수도전용 23
41.1%
<NA> 20
35.7%
간이상수도 11
19.6%
지하수전용 2
 
3.6%

Length

2023-12-13T01:06:19.062471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:19.160120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 23
41.1%
na 20
35.7%
간이상수도 11
19.6%
지하수전용 2
 
3.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2023-08-28 00:00:00
Maximum2023-08-28 00:00:00
2023-12-13T01:06:19.247687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:19.349888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:06:15.793963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:06:19.708873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)영업장면적(건물내부_건물외부)소재지전화급수시설
업소명1.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0000.4330.9850.949
소재지(지번)1.0001.0001.0000.4330.9850.918
영업장면적(건물내부_건물외부)1.0000.4330.4331.0000.9840.438
소재지전화1.0000.9850.9850.9841.0000.000
급수시설1.0000.9490.9180.4380.0001.000
2023-12-13T01:06:19.816049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적(건물내부_건물외부)급수시설
영업장면적(건물내부_건물외부)1.0000.181
급수시설0.1811.000

Missing values

2023-12-13T01:06:15.883026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:06:15.984422image/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.
2023-12-13T01:06:16.085151image/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)영업장면적(건물내부_건물외부)소재지전화급수시설데이터기준일
0식품제조가공업대후기업(주)경상북도 울진군 후포면 동해대로 318경상북도 울진군 후포면 금음리 64-43397.06054-787-1661상수도전용2023-08-28
1식품제조가공업삼홍실업(주)경상북도 울진군 후포면 울진대게로 225경상북도 울진군 후포면 후포리 10613320.46054-787-1101상수도전용2023-08-28
2식품제조가공업서울식품경상북도 울진군 후포면 후포삼율로 20-7경상북도 울진군 후포면 금음리 9-4121.36054-788-2314상수도전용2023-08-28
3식품제조가공업(주)하람씨푸드경상북도 울진군 후포면 중밤터2길 17경상북도 울진군 후포면 삼율리 717-3534.0054-788-1007상수도전용2023-08-28
4식품제조가공업농업회사법인 (유)한농마을경상북도 울진군 금강송면 왕피길 56경상북도 울진군 금강송면 삼근리 271 외281-3번지440.37054-781-7129간이상수도2023-08-28
5식품제조가공업대정수산 (주)경상북도 울진군 평해읍 울진대게로 645경상북도 울진군 평해읍 거일리 86593.99054-787-0884상수도전용2023-08-28
6식품제조가공업민속식품경상북도 울진군 울진읍 공세항길 19-3경상북도 울진군 울진읍 읍내리 29-133.3054-783-4432상수도전용2023-08-28
7식품제조가공업흥부도시락경상북도 울진군 북면 고목1길 52경상북도 울진군 북면 고목리 470-482.72054-782-1945간이상수도2023-08-28
8식품제조가공업(주)세왕식품경상북도 울진군 평해읍 박실길 32경상북도 울진군 평해읍 거일리 1041884.17054-787-3692상수도전용2023-08-28
9식품제조가공업왕비천 하늘경상북도 울진군 근남면 왕피천로 324경상북도 울진군 근남면 구산리 1006212.01054-783-7837<NA>2023-08-28
업종명업소명소재지(도로명)소재지(지번)영업장면적(건물내부_건물외부)소재지전화급수시설데이터기준일
46식품제조가공업농업회사법인 유한회사 한농마을 2공장경상북도 울진군 금강송면 왕피길 35경상북도 울진군 금강송면 삼근리 80-4398.83<NA>상수도전용2023-08-28
47식품제조가공업왕비천하늘경상북도 울진군 근남면 왕피천로 320경상북도 울진군 근남면 구산리 1008-3198.0<NA><NA>2023-08-28
48식품제조가공업대정수산(주)경상북도 울진군 평해읍 울진대게로 641, 대정수산경상북도 울진군 평해읍 거일리 88-2 대정수산407.69054-787-0884<NA>2023-08-28
49식품제조가공업홍익농수산경상북도 울진군 평해읍 박실길 37경상북도 울진군 평해읍 거일리 97 덕운수산596.72<NA><NA>2023-08-28
50식품제조가공업농업회사법인(주)청담정바이오경상북도 울진군 평해읍 평오곡길 51-101경상북도 울진군 평해읍 평해리 1466-3333.54054-788-0787<NA>2023-08-28
51식품제조가공업농업회사법인 주식회사 도래경상북도 울진군 후포면 동해대로 332-1경상북도 울진군 후포면 금음리 47-244.02054-788-1555<NA>2023-08-28
52식품제조가공업울진해방풍가공공장경상북도 울진군 근남면 산포3길 72-59경상북도 울진군 근남면 산포리 1055-2129.86<NA><NA>2023-08-28
53식품제조가공업푸르미작업장경상북도 울진군 죽변면 산내성로 481경상북도 울진군 죽변면 화성리 53112.05054-781-9210<NA>2023-08-28
54식품제조가공업국이랑 반찬이랑&도시락경상북도 울진군 근남면 울진북로 263, 가동경상북도 울진군 근남면 수산리 328-17 가동91.8<NA><NA>2023-08-28
55식품제조가공업풍덩원 농업회사법인 유한회사경상북도 울진군 평해읍 평해6길 24-24, 2호경상북도 울진군 평해읍 평해리 877-152.78054-782-1007<NA>2023-08-28