Overview

Dataset statistics

Number of variables7
Number of observations267
Missing cells105
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory57.5 B

Variable types

Text4
Categorical1
Numeric1
DateTime1

Dataset

Description관내 소 사육농가에 대한 데이터로 사업장 명칭, 대표자, 사업장 주소, 사육 마리 수, 사육 축종을 구분한 자료입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=397&beforeMenuCd=DOM_000000201001001000&publicdatapk=15042690

Alerts

데이터기준일 has constant value ""Constant
소(우) 종류 구분 is highly imbalanced (80.4%)Imbalance
도로명 주소 has 105 (39.3%) missing valuesMissing
사육두수 has 4 (1.5%) zerosZeros

Reproduction

Analysis started2024-01-09 21:43:26.073966
Analysis finished2024-01-09 21:43:26.635970
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct257
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-01-10T06:43:26.800232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.3932584
Min length2

Characters and Unicode

Total characters1173
Distinct characters222
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

Unique248 ?
Unique (%)92.9%

Sample

1st row연흥농장
2nd row정농장
3rd row무내미농장
4th rowe-greenfarm
5th row행복한농장
ValueCountFrequency (%)
한우농장 4
 
1.5%
역평농장 2
 
0.7%
한울농장 2
 
0.7%
장동농장 2
 
0.7%
영태농장 2
 
0.7%
아름농장 2
 
0.7%
양지농장 2
 
0.7%
버들농장 2
 
0.7%
우진농장 2
 
0.7%
진우농장 2
 
0.7%
Other values (249) 249
91.9%
2024-01-10T06:43:27.119998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 262
22.3%
농 234
19.9%
우 32
 
2.7%
한 29
 
2.5%
목 26
 
2.2%
산 17
 
1.4%
영 16
 
1.4%
수 15
 
1.3%
정 14
 
1.2%
성 11
 
0.9%
Other values (212) 517
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1137
96.9%
Lowercase Letter 10
 
0.9%
Decimal Number 9
 
0.8%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Space Separator 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 262
23.0%
농 234
20.6%
우 32
 
2.8%
한 29
 
2.6%
목 26
 
2.3%
산 17
 
1.5%
영 16
 
1.4%
수 15
 
1.3%
정 14
 
1.2%
성 11
 
1.0%
Other values (197) 481
42.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
m 1
 
10.0%
a 1
 
10.0%
f 1
 
10.0%
n 1
 
10.0%
g 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 6
66.7%
5 1
 
11.1%
1 1
 
11.1%
3 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1137
96.9%
Common 26
 
2.2%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 262
23.0%
농 234
20.6%
우 32
 
2.8%
한 29
 
2.6%
목 26
 
2.3%
산 17
 
1.5%
영 16
 
1.4%
수 15
 
1.3%
정 14
 
1.2%
성 11
 
1.0%
Other values (197) 481
42.3%
Common
ValueCountFrequency (%)
2 6
23.1%
) 6
23.1%
( 6
23.1%
4
15.4%
5 1
 
3.8%
- 1
 
3.8%
1 1
 
3.8%
3 1
 
3.8%
Latin
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
m 1
 
10.0%
a 1
 
10.0%
f 1
 
10.0%
n 1
 
10.0%
g 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1137
96.9%
ASCII 36
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 262
23.0%
농 234
20.6%
우 32
 
2.8%
한 29
 
2.6%
목 26
 
2.3%
산 17
 
1.5%
영 16
 
1.4%
수 15
 
1.3%
정 14
 
1.2%
성 11
 
1.0%
Other values (197) 481
42.3%
ASCII
ValueCountFrequency (%)
2 6
16.7%
) 6
16.7%
( 6
16.7%
4
11.1%
e 3
8.3%
r 2
 
5.6%
5 1
 
2.8%
m 1
 
2.8%
a 1
 
2.8%
f 1
 
2.8%
Other values (5) 5
13.9%

대표자명
Text

Distinct261
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-01-10T06:43:27.365952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.082397
Min length2

Characters and Unicode

Total characters823
Distinct characters152
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

Unique255 ?
Unique (%)95.5%

Sample

1st row배상성
2nd row정봉구
3rd row박병춘
4th row이윤근
5th row전이순
ValueCountFrequency (%)
김영태 2
 
0.7%
한기종 2
 
0.7%
이명임 2
 
0.7%
최영임 2
 
0.7%
김은주 2
 
0.7%
박병운 2
 
0.7%
강병철 1
 
0.4%
길병후 1
 
0.4%
이영근 1
 
0.4%
심현상 1
 
0.4%
Other values (252) 252
94.0%
2024-01-10T06:43:27.713368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 62
 
7.5%
이 43
 
5.2%
박 28
 
3.4%
정 25
 
3.0%
영 25
 
3.0%
현 16
 
1.9%
순 16
 
1.9%
수 16
 
1.9%
성 16
 
1.9%
길 15
 
1.8%
Other values (142) 561
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 820
99.6%
Space Separator 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 62
 
7.6%
이 43
 
5.2%
박 28
 
3.4%
정 25
 
3.0%
영 25
 
3.0%
현 16
 
2.0%
순 16
 
2.0%
수 16
 
2.0%
성 16
 
2.0%
길 15
 
1.8%
Other values (139) 558
68.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 820
99.6%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 62
 
7.6%
이 43
 
5.2%
박 28
 
3.4%
정 25
 
3.0%
영 25
 
3.0%
현 16
 
2.0%
순 16
 
2.0%
수 16
 
2.0%
성 16
 
2.0%
길 15
 
1.8%
Other values (139) 558
68.0%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 820
99.6%
ASCII 3
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 62
 
7.6%
이 43
 
5.2%
박 28
 
3.4%
정 25
 
3.0%
영 25
 
3.0%
현 16
 
2.0%
순 16
 
2.0%
수 16
 
2.0%
성 16
 
2.0%
길 15
 
1.8%
Other values (139) 558
68.0%
ASCII
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

지번주소
Text

Distinct264
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-01-10T06:43:27.949519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length64
Mean length26.580524
Min length4

Characters and Unicode

Total characters7097
Distinct characters110
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

Unique263 ?
Unique (%)98.5%

Sample

1st row충청남도 금산군 복수면 곡남리 304번지 1호
2nd row충청남도 금산군 추부면 장대리 466번지 2호
3rd row충청남도 금산군 남일면 마장리 327번지 외 1필(332)
4th row충청남도 금산군 부리면 선원리 807번지 외 2필
5th row충청남도 금산군 금성면 하류리 434번지 외 1필지
ValueCountFrequency (%)
충청남도 266
 
17.4%
금산군 266
 
17.4%
1호 60
 
3.9%
금성면 48
 
3.1%
복수면 38
 
2.5%
군북면 37
 
2.4%
부리면 35
 
2.3%
진산면 24
 
1.6%
2호 23
 
1.5%
제원면 19
 
1.2%
Other values (367) 714
46.7%
2024-01-10T06:43:28.341563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1774
25.0%
금 334
 
4.7%
산 320
 
4.5%
군 303
 
4.3%
리 302
 
4.3%
남 299
 
4.2%
지 293
 
4.1%
도 278
 
3.9%
충 266
 
3.7%
청 266
 
3.7%
Other values (100) 2662
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4160
58.6%
Space Separator 1774
25.0%
Decimal Number 1083
 
15.3%
Dash Punctuation 34
 
0.5%
Other Punctuation 24
 
0.3%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 334
 
8.0%
산 320
 
7.7%
군 303
 
7.3%
리 302
 
7.3%
남 299
 
7.2%
지 293
 
7.0%
도 278
 
6.7%
충 266
 
6.4%
청 266
 
6.4%
번 264
 
6.3%
Other values (85) 1235
29.7%
Decimal Number
ValueCountFrequency (%)
1 212
19.6%
2 149
13.8%
5 126
11.6%
3 120
11.1%
4 115
10.6%
6 86
7.9%
7 82
 
7.6%
8 78
 
7.2%
9 58
 
5.4%
0 57
 
5.3%
Space Separator
ValueCountFrequency (%)
1774
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4160
58.6%
Common 2937
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 334
 
8.0%
산 320
 
7.7%
군 303
 
7.3%
리 302
 
7.3%
남 299
 
7.2%
지 293
 
7.0%
도 278
 
6.7%
충 266
 
6.4%
청 266
 
6.4%
번 264
 
6.3%
Other values (85) 1235
29.7%
Common
ValueCountFrequency (%)
1774
60.4%
1 212
 
7.2%
2 149
 
5.1%
5 126
 
4.3%
3 120
 
4.1%
4 115
 
3.9%
6 86
 
2.9%
7 82
 
2.8%
8 78
 
2.7%
9 58
 
2.0%
Other values (5) 137
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4160
58.6%
ASCII 2937
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1774
60.4%
1 212
 
7.2%
2 149
 
5.1%
5 126
 
4.3%
3 120
 
4.1%
4 115
 
3.9%
6 86
 
2.9%
7 82
 
2.8%
8 78
 
2.7%
9 58
 
2.0%
Other values (5) 137
 
4.7%
Hangul
ValueCountFrequency (%)
금 334
 
8.0%
산 320
 
7.7%
군 303
 
7.3%
리 302
 
7.3%
남 299
 
7.2%
지 293
 
7.0%
도 278
 
6.7%
충 266
 
6.4%
청 266
 
6.4%
번 264
 
6.3%
Other values (85) 1235
29.7%

도로명 주소
Text

MISSING 

Distinct160
Distinct (%)98.8%
Missing105
Missing (%)39.3%
Memory size2.2 KiB
2024-01-10T06:43:28.605415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length22.074074
Min length9

Characters and Unicode

Total characters3576
Distinct characters154
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

Unique159 ?
Unique (%)98.1%

Sample

1st row충청남도 금산군 복수면 수심대길 93
2nd row충청남도 금산군 추부면 추풍로 98
3rd row충청남도 금산군 남일면 마장길 144-14
4th row충청남도 금산군 부리면 무금로 1736-45 (외 2필)
5th row충청남도 금산군 금성면 큰말길 23 (외 1필지)
ValueCountFrequency (%)
충청남도 161
19.4%
금산군 161
19.4%
금성면 34
 
4.1%
부리면 24
 
2.9%
군북면 17
 
2.0%
복수면 17
 
2.0%
남일면 15
 
1.8%
추부면 13
 
1.6%
진산면 13
 
1.6%
제원면 11
 
1.3%
Other values (267) 364
43.9%
2024-01-10T06:43:29.003070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
668
18.7%
금 213
 
6.0%
산 191
 
5.3%
남 185
 
5.2%
군 179
 
5.0%
충 161
 
4.5%
청 161
 
4.5%
도 161
 
4.5%
면 153
 
4.3%
1 133
 
3.7%
Other values (144) 1371
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2222
62.1%
Space Separator 668
 
18.7%
Decimal Number 577
 
16.1%
Dash Punctuation 71
 
2.0%
Open Punctuation 14
 
0.4%
Close Punctuation 14
 
0.4%
Other Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 213
 
9.6%
산 191
 
8.6%
남 185
 
8.3%
군 179
 
8.1%
충 161
 
7.2%
청 161
 
7.2%
도 161
 
7.2%
면 153
 
6.9%
길 120
 
5.4%
로 45
 
2.0%
Other values (129) 653
29.4%
Decimal Number
ValueCountFrequency (%)
1 133
23.1%
2 87
15.1%
4 60
10.4%
3 60
10.4%
7 54
9.4%
5 53
 
9.2%
6 47
 
8.1%
0 31
 
5.4%
9 30
 
5.2%
8 22
 
3.8%
Space Separator
ValueCountFrequency (%)
668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2222
62.1%
Common 1354
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 213
 
9.6%
산 191
 
8.6%
남 185
 
8.3%
군 179
 
8.1%
충 161
 
7.2%
청 161
 
7.2%
도 161
 
7.2%
면 153
 
6.9%
길 120
 
5.4%
로 45
 
2.0%
Other values (129) 653
29.4%
Common
ValueCountFrequency (%)
668
49.3%
1 133
 
9.8%
2 87
 
6.4%
- 71
 
5.2%
4 60
 
4.4%
3 60
 
4.4%
7 54
 
4.0%
5 53
 
3.9%
6 47
 
3.5%
0 31
 
2.3%
Other values (5) 90
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2222
62.1%
ASCII 1354
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
668
49.3%
1 133
 
9.8%
2 87
 
6.4%
- 71
 
5.2%
4 60
 
4.4%
3 60
 
4.4%
7 54
 
4.0%
5 53
 
3.9%
6 47
 
3.5%
0 31
 
2.3%
Other values (5) 90
 
6.6%
Hangul
ValueCountFrequency (%)
금 213
 
9.6%
산 191
 
8.6%
남 185
 
8.3%
군 179
 
8.1%
충 161
 
7.2%
청 161
 
7.2%
도 161
 
7.2%
면 153
 
6.9%
길 120
 
5.4%
로 45
 
2.0%
Other values (129) 653
29.4%

소(우) 종류 구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
한우
254 
젖소
 
11
육우
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한우 254
95.1%
젖소 11
 
4.1%
육우 2
 
0.7%

Length

2024-01-10T06:43:29.106765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:43:29.180144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 254
95.1%
젖소 11
 
4.1%
육우 2
 
0.7%

사육두수
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.516854
Minimum0
Maximum500
Zeros4
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-01-10T06:43:29.265709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median14
Q362.5
95-th percentile224.9
Maximum500
Range500
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation89.138624
Coefficient of variation (CV)1.6656178
Kurtosis8.8273165
Mean53.516854
Median Absolute Deviation (MAD)12
Skewness2.8167216
Sum14289
Variance7945.6943
MonotonicityNot monotonic
2024-01-10T06:43:29.372891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 28
 
10.5%
1 18
 
6.7%
5 14
 
5.2%
4 13
 
4.9%
3 11
 
4.1%
8 9
 
3.4%
25 7
 
2.6%
10 7
 
2.6%
50 7
 
2.6%
11 6
 
2.2%
Other values (86) 147
55.1%
ValueCountFrequency (%)
0 4
 
1.5%
1 18
6.7%
2 28
10.5%
3 11
 
4.1%
4 13
4.9%
5 14
5.2%
6 6
 
2.2%
7 6
 
2.2%
8 9
 
3.4%
9 2
 
0.7%
ValueCountFrequency (%)
500 2
0.7%
450 1
0.4%
430 1
0.4%
420 1
0.4%
400 2
0.7%
319 1
0.4%
306 1
0.4%
285 1
0.4%
250 1
0.4%
240 2
0.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2022-01-18 00:00:00
Maximum2022-01-18 00:00:00
2024-01-10T06:43:29.452865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:29.520868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:43:26.422923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:43:29.570368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소(우) 종류 구분사육두수
소(우) 종류 구분1.0000.483
사육두수0.4831.000
2024-01-10T06:43:29.641884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수소(우) 종류 구분
사육두수1.0000.329
소(우) 종류 구분0.3291.000

Missing values

2024-01-10T06:43:26.514212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:43:26.601052image/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

사업장명칭대표자명지번주소도로명 주소소(우) 종류 구분사육두수데이터기준일
0연흥농장배상성충청남도 금산군 복수면 곡남리 304번지 1호충청남도 금산군 복수면 수심대길 93한우1002022-01-18
1정농장정봉구충청남도 금산군 추부면 장대리 466번지 2호충청남도 금산군 추부면 추풍로 98한우212022-01-18
2무내미농장박병춘충청남도 금산군 남일면 마장리 327번지 외 1필(332)충청남도 금산군 남일면 마장길 144-14한우762022-01-18
3e-greenfarm이윤근충청남도 금산군 부리면 선원리 807번지 외 2필충청남도 금산군 부리면 무금로 1736-45 (외 2필)한우3192022-01-18
4행복한농장전이순충청남도 금산군 금성면 하류리 434번지 외 1필지충청남도 금산군 금성면 큰말길 23 (외 1필지)한우272022-01-18
5정호농장박병운충청남도 금산군 금성면 하류리 416번지 4호 (외 1필지 하류리 127-3)충청남도 금산군 금성면 큰말길 63-7, (외 1필지 하류리 127-3)한우1332022-01-18
6매현농장김일순충청남도 금산군 진산면 막현리 133번지<NA>한우252022-01-18
7산흥농장김진수충청남도 금산군 추부면 자부리 488번지 6호충청남도 금산군 추부면 추풍로 234-22한우1252022-01-18
8경훤농장박훤용충청남도 금산군 금성면 대암리 179번지 1호 169-1, 181-1, 182-1충청남도 금산군 금성면 왜벌길 5, (169-1, 179-1, 181-1, 182-1)한우422022-01-18
9한우농장김태문충청남도 금산군 금산읍 신대리 785번지 36호충청남도 금산군 금산읍 금산천2길 25-7한우902022-01-18
사업장명칭대표자명지번주소도로명 주소소(우) 종류 구분사육두수데이터기준일
257선진농장임선애충청남도 금산군 금성면 하류리 626번지충청남도 금산군 금성면 하류신촌1길 131한우1002022-01-18
258아름농장김영순충청남도 금산군 군북면 호티리 176번지 1호충청남도 금산군 군북면 사문길 130한우1332022-01-18
259상훈(2)농장김호상충청남도 금산군 남일면 황풍리 417번지 3호충청남도 금산군 남일면 봉황로 500-20한우1022022-01-18
260읍내농장김연구충청남도 금산군 진산면 읍내리 368번지 2호충청남도 금산군 진산면 대둔산로 294-10한우52022-01-18
261금산한우영농조합법인금산한우영농조합법인충청남도 금산군 금성면 하류리 560번지충청남도 금산군 금성면 하류신촌1길 51-29한우4002022-01-18
262농업회사법인한산(주)한산충청남도 금산군 금성면 하류리 654번지<NA>한우1232022-01-18
263정호2농장박병운충청남도 금산군 금성면 하류리 537번지 1호<NA>한우02022-01-18
264장미축사이미자충청남도 금산군 금성면 의총리 406번지 2호 외1(407-4)<NA>한우632022-01-18
265다올농장최영임충청남도 금산군 부리면 관천리 173번지<NA>한우2102022-01-18
266우진농장 2호김봉수충청남도 금산군 금성면 하류리 656번지 외 1필지(657)<NA>한우1262022-01-18