Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells20
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory62.3 B

Variable types

Text4
Categorical2
Numeric1

Dataset

Description전주시 축사(농장) 현황이며, 사업장명, 주사육업종, 사육두수, 사업장소재지(도로명,지번), 사업장번호 등을 제공합니다.항목 : 사업장명, 주사육업종, 사육두수, 사업장소재지, 사업장전화번호자료: 동물복지과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15068641/fileData.do

Alerts

데이터기준일 has constant value ""Constant
사업장소재지(도로명) has 9 (37.5%) missing valuesMissing
사업장전화번호 has 11 (45.8%) missing valuesMissing
사육두수 has 2 (8.3%) zerosZeros

Reproduction

Analysis started2024-03-14 12:57:43.019569
Analysis finished2024-03-14 12:57:44.483954
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-14T21:57:45.043049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length6.4583333
Min length3

Characters and Unicode

Total characters155
Distinct characters58
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)87.5%

Sample

1st row병길농장
2nd row현승농장
3rd row동우농장
4th row예지농장
5th row에이원농장
ValueCountFrequency (%)
전북대학교 3
 
9.7%
부속동물사육장 3
 
9.7%
농업생명과학대학 3
 
9.7%
도강농장 1
 
3.2%
현승농장 1
 
3.2%
만성농장 1
 
3.2%
덕암농원 1
 
3.2%
한아름 1
 
3.2%
옛살비농장 1
 
3.2%
용정농장 1
 
3.2%
Other values (15) 15
48.4%
2024-03-14T21:57:45.954328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 21
 
13.5%
장 21
 
13.5%
학 9
 
5.8%
대 7
 
4.5%
7
 
4.5%
전 5
 
3.2%
동 4
 
2.6%
북 4
 
2.6%
화 3
 
1.9%
육 3
 
1.9%
Other values (48) 71
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
95.5%
Space Separator 7
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 21
 
14.2%
장 21
 
14.2%
학 9
 
6.1%
대 7
 
4.7%
전 5
 
3.4%
동 4
 
2.7%
북 4
 
2.7%
화 3
 
2.0%
육 3
 
2.0%
사 3
 
2.0%
Other values (47) 68
45.9%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
95.5%
Common 7
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 21
 
14.2%
장 21
 
14.2%
학 9
 
6.1%
대 7
 
4.7%
전 5
 
3.4%
동 4
 
2.7%
북 4
 
2.7%
화 3
 
2.0%
육 3
 
2.0%
사 3
 
2.0%
Other values (47) 68
45.9%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
95.5%
ASCII 7
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 21
 
14.2%
장 21
 
14.2%
학 9
 
6.1%
대 7
 
4.7%
전 5
 
3.4%
동 4
 
2.7%
북 4
 
2.7%
화 3
 
2.0%
육 3
 
2.0%
사 3
 
2.0%
Other values (47) 68
45.9%
ASCII
ValueCountFrequency (%)
7
100.0%

주사육업종
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size320.0 B
한우
14 
육계
6 
돼지
2 
염소
 
1
산양
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row한우
2nd row육계
3rd row돼지
4th row육계
5th row한우

Common Values

ValueCountFrequency (%)
한우 14
58.3%
육계 6
25.0%
돼지 2
 
8.3%
염소 1
 
4.2%
산양 1
 
4.2%

Length

2024-03-14T21:57:46.354351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:57:46.682596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 14
58.3%
육계 6
25.0%
돼지 2
 
8.3%
염소 1
 
4.2%
산양 1
 
4.2%

사육두수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3816.8333
Minimum0
Maximum50000
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-14T21:57:47.019543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q110.5
median65
Q3253
95-th percentile30275
Maximum50000
Range50000
Interquartile range (IQR)242.5

Descriptive statistics

Standard deviation12140.847
Coefficient of variation (CV)3.1808689
Kurtosis10.855336
Mean3816.8333
Median Absolute Deviation (MAD)56.5
Skewness3.3863637
Sum91604
Variance1.4740016 × 108
MonotonicityNot monotonic
2024-03-14T21:57:47.407963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 2
 
8.3%
87 1
 
4.2%
55 1
 
4.2%
103 1
 
4.2%
400 1
 
4.2%
30 1
 
4.2%
75 1
 
4.2%
100 1
 
4.2%
8 1
 
4.2%
1500 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
0 2
8.3%
5 1
4.2%
6 1
4.2%
8 1
4.2%
9 1
4.2%
11 1
4.2%
30 1
4.2%
35 1
4.2%
38 1
4.2%
50 1
4.2%
ValueCountFrequency (%)
50000 1
4.2%
35000 1
4.2%
3500 1
4.2%
1500 1
4.2%
400 1
4.2%
262 1
4.2%
250 1
4.2%
103 1
4.2%
100 1
4.2%
87 1
4.2%

사업장소재지(도로명)
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing9
Missing (%)37.5%
Memory size320.0 B
2024-03-14T21:57:48.174523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length30.333333
Min length28

Characters and Unicode

Total characters455
Distinct characters67
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

Unique12 ?
Unique (%)80.0%

Sample

1st row전북특별자치도 전주시 덕진구 삼례로 65 (반월동)
2nd row전북특별자치도 전주시 덕진구 삼거3길 70-10 (금상동)
3rd row전북특별자치도 전주시 덕진구 당마길 4-12 (남정동)
4th row전북특별자치도 전주시 덕진구 청복길 235 (원동)
5th row전북특별자치도 전주시 덕진구 만경강남로 61-19 (화전동)
ValueCountFrequency (%)
전북특별자치도 15
16.7%
전주시 15
16.7%
덕진구 15
16.7%
백제대로 3
 
3.3%
567 3
 
3.3%
금암동 3
 
3.3%
105 2
 
2.2%
화전동 2
 
2.2%
고랑동 2
 
2.2%
삼례로 2
 
2.2%
Other values (28) 28
31.1%
2024-03-14T21:57:49.110244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
16.5%
전 34
 
7.5%
도 16
 
3.5%
시 15
 
3.3%
) 15
 
3.3%
북 15
 
3.3%
구 15
 
3.3%
진 15
 
3.3%
동 15
 
3.3%
덕 15
 
3.3%
Other values (57) 225
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
64.2%
Space Separator 75
 
16.5%
Decimal Number 52
 
11.4%
Close Punctuation 15
 
3.3%
Open Punctuation 15
 
3.3%
Dash Punctuation 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 34
 
11.6%
도 16
 
5.5%
시 15
 
5.1%
북 15
 
5.1%
구 15
 
5.1%
진 15
 
5.1%
동 15
 
5.1%
덕 15
 
5.1%
주 15
 
5.1%
치 15
 
5.1%
Other values (43) 122
41.8%
Decimal Number
ValueCountFrequency (%)
1 10
19.2%
6 10
19.2%
5 7
13.5%
7 6
11.5%
0 5
9.6%
3 5
9.6%
2 4
 
7.7%
9 2
 
3.8%
4 2
 
3.8%
8 1
 
1.9%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
64.2%
Common 163
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 34
 
11.6%
도 16
 
5.5%
시 15
 
5.1%
북 15
 
5.1%
구 15
 
5.1%
진 15
 
5.1%
동 15
 
5.1%
덕 15
 
5.1%
주 15
 
5.1%
치 15
 
5.1%
Other values (43) 122
41.8%
Common
ValueCountFrequency (%)
75
46.0%
) 15
 
9.2%
( 15
 
9.2%
1 10
 
6.1%
6 10
 
6.1%
5 7
 
4.3%
- 6
 
3.7%
7 6
 
3.7%
0 5
 
3.1%
3 5
 
3.1%
Other values (4) 9
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
64.2%
ASCII 163
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
46.0%
) 15
 
9.2%
( 15
 
9.2%
1 10
 
6.1%
6 10
 
6.1%
5 7
 
4.3%
- 6
 
3.7%
7 6
 
3.7%
0 5
 
3.1%
3 5
 
3.1%
Other values (4) 9
 
5.5%
Hangul
ValueCountFrequency (%)
전 34
 
11.6%
도 16
 
5.5%
시 15
 
5.1%
북 15
 
5.1%
구 15
 
5.1%
진 15
 
5.1%
동 15
 
5.1%
덕 15
 
5.1%
주 15
 
5.1%
치 15
 
5.1%
Other values (43) 122
41.8%

사업장소재지(지번)
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-14T21:57:49.837878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length28.708333
Min length21

Characters and Unicode

Total characters689
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)87.5%

Sample

1st row전북특별자치도 전주시 덕진구 반월동 612번지 23호
2nd row전북특별자치도 전주시 덕진구 금상동 1177번지
3rd row전북특별자치도 전주시 덕진구 남정동 348번지 6호
4th row전북특별자치도 전주시 덕진구 남정동 338번지 9호
5th row전북특별자치도 전주시 덕진구 남정동 500번지 1호
ValueCountFrequency (%)
전북특별자치도 24
17.8%
전주시 24
17.8%
덕진구 22
16.3%
1호 5
 
3.7%
금암동 3
 
2.2%
663번지 3
 
2.2%
고랑동 3
 
2.2%
남정동 3
 
2.2%
2호 2
 
1.5%
화전동 2
 
1.5%
Other values (39) 44
32.6%
2024-03-14T21:57:50.845347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
22.5%
전 51
 
7.4%
동 24
 
3.5%
구 24
 
3.5%
시 24
 
3.5%
주 24
 
3.5%
북 24
 
3.5%
도 24
 
3.5%
자 24
 
3.5%
별 24
 
3.5%
Other values (42) 291
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
64.2%
Space Separator 155
 
22.5%
Decimal Number 91
 
13.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 51
 
11.5%
동 24
 
5.4%
구 24
 
5.4%
시 24
 
5.4%
주 24
 
5.4%
북 24
 
5.4%
도 24
 
5.4%
자 24
 
5.4%
별 24
 
5.4%
특 24
 
5.4%
Other values (30) 175
39.6%
Decimal Number
ValueCountFrequency (%)
1 16
17.6%
3 10
11.0%
6 10
11.0%
9 9
9.9%
2 9
9.9%
8 9
9.9%
5 8
8.8%
4 8
8.8%
0 6
 
6.6%
7 6
 
6.6%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
64.2%
Common 247
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 51
 
11.5%
동 24
 
5.4%
구 24
 
5.4%
시 24
 
5.4%
주 24
 
5.4%
북 24
 
5.4%
도 24
 
5.4%
자 24
 
5.4%
별 24
 
5.4%
특 24
 
5.4%
Other values (30) 175
39.6%
Common
ValueCountFrequency (%)
155
62.8%
1 16
 
6.5%
3 10
 
4.0%
6 10
 
4.0%
9 9
 
3.6%
2 9
 
3.6%
8 9
 
3.6%
5 8
 
3.2%
4 8
 
3.2%
0 6
 
2.4%
Other values (2) 7
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
64.2%
ASCII 247
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
62.8%
1 16
 
6.5%
3 10
 
4.0%
6 10
 
4.0%
9 9
 
3.6%
2 9
 
3.6%
8 9
 
3.6%
5 8
 
3.2%
4 8
 
3.2%
0 6
 
2.4%
Other values (2) 7
 
2.8%
Hangul
ValueCountFrequency (%)
전 51
 
11.5%
동 24
 
5.4%
구 24
 
5.4%
시 24
 
5.4%
주 24
 
5.4%
북 24
 
5.4%
도 24
 
5.4%
자 24
 
5.4%
별 24
 
5.4%
특 24
 
5.4%
Other values (30) 175
39.6%

사업장전화번호
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing11
Missing (%)45.8%
Memory size320.0 B
2024-03-14T21:57:51.465831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters156
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

Unique11 ?
Unique (%)84.6%

Sample

1st row063-212-0541
2nd row063-241-6762
3rd row065-545-2367
4th row063-542-4986
5th row063-221-3618
ValueCountFrequency (%)
063-212-0541 2
15.4%
063-241-6762 1
7.7%
065-545-2367 1
7.7%
063-542-4986 1
7.7%
063-221-3618 1
7.7%
063-212-3698 1
7.7%
063-288-0964 1
7.7%
063-212-1031 1
7.7%
063-212-7496 1
7.7%
063-212-6139 1
7.7%
Other values (2) 2
15.4%
2024-03-14T21:57:52.512540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 26
16.7%
2 24
15.4%
6 22
14.1%
3 20
12.8%
0 17
10.9%
1 17
10.9%
5 8
 
5.1%
4 8
 
5.1%
9 5
 
3.2%
8 5
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
83.3%
Dash Punctuation 26
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 24
18.5%
6 22
16.9%
3 20
15.4%
0 17
13.1%
1 17
13.1%
5 8
 
6.2%
4 8
 
6.2%
9 5
 
3.8%
8 5
 
3.8%
7 4
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 26
16.7%
2 24
15.4%
6 22
14.1%
3 20
12.8%
0 17
10.9%
1 17
10.9%
5 8
 
5.1%
4 8
 
5.1%
9 5
 
3.2%
8 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 26
16.7%
2 24
15.4%
6 22
14.1%
3 20
12.8%
0 17
10.9%
1 17
10.9%
5 8
 
5.1%
4 8
 
5.1%
9 5
 
3.2%
8 5
 
3.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-01-11
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-11
2nd row2024-01-11
3rd row2024-01-11
4th row2024-01-11
5th row2024-01-11

Common Values

ValueCountFrequency (%)
2024-01-11 24
100.0%

Length

2024-03-14T21:57:52.779881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:57:53.064910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-11 24
100.0%

Interactions

2024-03-14T21:57:43.374932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:57:53.240014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭주사육업종사육두수사업장소재지(도로명)사업장소재지(지번)사업장전화번호
사업장명칭1.0000.2501.0001.0001.0001.000
주사육업종0.2501.0000.0000.0000.2501.000
사육두수1.0000.0001.0001.0001.0001.000
사업장소재지(도로명)1.0000.0001.0001.0001.0001.000
사업장소재지(지번)1.0000.2501.0001.0001.0001.000
사업장전화번호1.0001.0001.0001.0001.0001.000
2024-03-14T21:57:53.672531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수주사육업종
사육두수1.0000.000
주사육업종0.0001.000

Missing values

2024-03-14T21:57:43.705666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:57:44.095457image/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.
2024-03-14T21:57:44.400969image/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

사업장명칭주사육업종사육두수사업장소재지(도로명)사업장소재지(지번)사업장전화번호데이터기준일
0병길농장한우87전북특별자치도 전주시 덕진구 삼례로 65 (반월동)전북특별자치도 전주시 덕진구 반월동 612번지 23호063-212-05412024-01-11
1현승농장육계35000전북특별자치도 전주시 덕진구 삼거3길 70-10 (금상동)전북특별자치도 전주시 덕진구 금상동 1177번지063-241-67622024-01-11
2동우농장돼지3500전북특별자치도 전주시 덕진구 당마길 4-12 (남정동)전북특별자치도 전주시 덕진구 남정동 348번지 6호<NA>2024-01-11
3예지농장육계50000<NA>전북특별자치도 전주시 덕진구 남정동 338번지 9호065-545-23672024-01-11
4에이원농장한우80<NA>전북특별자치도 전주시 덕진구 남정동 500번지 1호063-542-49862024-01-11
5진영농장육계50<NA>전북특별자치도 전주시 완산구 삼천동3가 747번지 4호063-221-36182024-01-11
6대열농장한우35<NA>전북특별자치도 전주시 덕진구 원동 508번지 5호063-212-36982024-01-11
7벧엘농장염소0전북특별자치도 전주시 덕진구 청복길 235 (원동)전북특별자치도 전주시 덕진구 원동 523번지 1호063-288-09642024-01-11
8화전농장한우11전북특별자치도 전주시 덕진구 만경강남로 61-19 (화전동)전북특별자치도 전주시 덕진구 화전동 74번지 5호063-212-10312024-01-11
9삼화농장한우6<NA>전북특별자치도 전주시 덕진구 고랑동 498번지 2호063-212-74962024-01-11
사업장명칭주사육업종사육두수사업장소재지(도로명)사업장소재지(지번)사업장전화번호데이터기준일
14곡천농장한우5전북특별자치도 전주시 덕진구 곡천길 26 (화전동)전북특별자치도 전주시 덕진구 화전동 1118번지063-212-61392024-01-11
15전북대학교 농업생명과학대학 부속동물사육장한우9전북특별자치도 전주시 덕진구 백제대로 567 (금암동)전북특별자치도 전주시 덕진구 금암동 663번지<NA>2024-01-11
16전북대학교 농업생명과학대학 부속동물사육장육계1500전북특별자치도 전주시 덕진구 백제대로 567 (금암동)전북특별자치도 전주시 덕진구 금암동 663번지<NA>2024-01-11
17전북대학교 농업생명과학대학 부속동물사육장돼지0전북특별자치도 전주시 덕진구 백제대로 567 (금암동)전북특별자치도 전주시 덕진구 금암동 663번지<NA>2024-01-11
18용정농장한우8전북특별자치도 전주시 덕진구 용정길 105 (여의동)전북특별자치도 전주시 덕진구 여의동 960번지 1호063-211-37352024-01-11
19옛살비농장육계100<NA>전북특별자치도 전주시 덕진구 장동 929번지 19호<NA>2024-01-11
20한아름한우75전북특별자치도 전주시 덕진구 전미중앙로 163-61 (전미동2가)전북특별자치도 전주시 덕진구 전미동2가 41-10063-253-22122024-01-11
21덕암농원육계30<NA>전북특별자치도 전주시 완산구 용복동 501번지 1호<NA>2024-01-11
22만성농장산양400<NA>전북특별자치도 전주시 덕진구 장동 688번지 1호<NA>2024-01-11
23철이축산한우103전북특별자치도 전주시 덕진구 신성길 90-64 (용정동)전북특별자치도 전주시 덕진구 용정동 284번지 8호<NA>2024-01-11