Overview

Dataset statistics

Number of variables7
Number of observations350
Missing cells204
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory57.4 B

Variable types

Text4
Categorical2
Numeric1

Dataset

Description이 데이터는 충청남도 금산군 축산 및 가금류 농장현황(농장명, 축종, 사육수, 소재지, 대표자, 연락처)을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=401&beforeMenuCd=DOM_000000201001001000&publicdatapk=15034228

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 204 (58.3%) missing valuesMissing
사육수 has 4 (1.1%) zerosZeros

Reproduction

Analysis started2024-01-09 20:45:19.807737
Analysis finished2024-01-09 20:45:20.622974
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장명
Text

Distinct329
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-01-10T05:45:20.815069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.4542857
Min length2

Characters and Unicode

Total characters1559
Distinct characters249
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)88.6%

Sample

1st row창평농장
2nd row연흥농장
3rd row정농장
4th row무내미농장
5th rowe-greenfarm
ValueCountFrequency (%)
한우농장 4
 
1.1%
추부농장 3
 
0.8%
상진농장 2
 
0.6%
장동농장 2
 
0.6%
농장 2
 
0.6%
늘푸른농장 2
 
0.6%
태진농장 2
 
0.6%
영수농장 2
 
0.6%
진우농장 2
 
0.6%
한울농장 2
 
0.6%
Other values (327) 337
93.6%
2024-01-10T05:45:21.167457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 333
21.4%
농 307
19.7%
우 33
 
2.1%
목 30
 
1.9%
한 28
 
1.8%
산 25
 
1.6%
영 22
 
1.4%
대 19
 
1.2%
수 18
 
1.2%
금 17
 
1.1%
Other values (239) 727
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1512
97.0%
Space Separator 10
 
0.6%
Lowercase Letter 10
 
0.6%
Close Punctuation 8
 
0.5%
Open Punctuation 8
 
0.5%
Decimal Number 8
 
0.5%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 333
22.0%
농 307
20.3%
우 33
 
2.2%
목 30
 
2.0%
한 28
 
1.9%
산 25
 
1.7%
영 22
 
1.5%
대 19
 
1.3%
수 18
 
1.2%
금 17
 
1.1%
Other values (222) 680
45.0%
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 3
37.5%
3 2
25.0%
1 2
25.0%
5 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1512
97.0%
Common 35
 
2.2%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 333
22.0%
농 307
20.3%
우 33
 
2.2%
목 30
 
2.0%
한 28
 
1.9%
산 25
 
1.7%
영 22
 
1.5%
대 19
 
1.3%
수 18
 
1.2%
금 17
 
1.1%
Other values (222) 680
45.0%
Latin
ValueCountFrequency (%)
e 3
25.0%
r 2
16.7%
K 1
 
8.3%
J 1
 
8.3%
m 1
 
8.3%
a 1
 
8.3%
f 1
 
8.3%
n 1
 
8.3%
g 1
 
8.3%
Common
ValueCountFrequency (%)
10
28.6%
) 8
22.9%
( 8
22.9%
2 3
 
8.6%
3 2
 
5.7%
1 2
 
5.7%
- 1
 
2.9%
5 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1512
97.0%
ASCII 47
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 333
22.0%
농 307
20.3%
우 33
 
2.2%
목 30
 
2.0%
한 28
 
1.9%
산 25
 
1.7%
영 22
 
1.5%
대 19
 
1.3%
수 18
 
1.2%
금 17
 
1.1%
Other values (222) 680
45.0%
ASCII
ValueCountFrequency (%)
10
21.3%
) 8
17.0%
( 8
17.0%
2 3
 
6.4%
e 3
 
6.4%
r 2
 
4.3%
3 2
 
4.3%
1 2
 
4.3%
K 1
 
2.1%
J 1
 
2.1%
Other values (7) 7
14.9%

축종
Categorical

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
한우
255 
산양
 
20
육계
 
16
염소
 
16
돼지
 
14
Other values (4)
29 

Length

Max length3
Median length2
Mean length2.0257143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한우 255
72.9%
산양 20
 
5.7%
육계 16
 
4.6%
염소 16
 
4.6%
돼지 14
 
4.0%
젖소 11
 
3.1%
산란계 9
 
2.6%
사슴 5
 
1.4%
육우 4
 
1.1%

Length

2024-01-10T05:45:21.290798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:45:21.393914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 255
72.9%
산양 20
 
5.7%
육계 16
 
4.6%
염소 16
 
4.6%
돼지 14
 
4.0%
젖소 11
 
3.1%
산란계 9
 
2.6%
사슴 5
 
1.4%
육우 4
 
1.1%

사육수
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2201.0143
Minimum0
Maximum156000
Zeros4
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-10T05:45:21.510761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median18.5
Q370
95-th percentile3000
Maximum156000
Range156000
Interquartile range (IQR)65

Descriptive statistics

Standard deviation12611.853
Coefficient of variation (CV)5.7300188
Kurtosis77.833074
Mean2201.0143
Median Absolute Deviation (MAD)16.5
Skewness8.0755791
Sum770355
Variance1.5905884 × 108
MonotonicityNot monotonic
2024-01-10T05:45:21.632923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 33
 
9.4%
1 22
 
6.3%
4 18
 
5.1%
5 16
 
4.6%
50 12
 
3.4%
3 10
 
2.9%
10 9
 
2.6%
7 8
 
2.3%
11 8
 
2.3%
20 8
 
2.3%
Other values (104) 206
58.9%
ValueCountFrequency (%)
0 4
 
1.1%
1 22
6.3%
2 33
9.4%
3 10
 
2.9%
4 18
5.1%
5 16
4.6%
6 7
 
2.0%
7 8
 
2.3%
8 7
 
2.0%
9 5
 
1.4%
ValueCountFrequency (%)
156000 1
 
0.3%
90000 1
 
0.3%
80000 1
 
0.3%
68000 1
 
0.3%
60000 2
0.6%
35000 2
0.6%
34000 1
 
0.3%
30000 3
0.9%
11000 1
 
0.3%
6000 1
 
0.3%

소재지
Text

Distinct345
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-01-10T05:45:21.852042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length59
Mean length26.362857
Min length18

Characters and Unicode

Total characters9227
Distinct characters129
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique342 ?
Unique (%)97.7%

Sample

1st row충청남도 금산군 부리면 창평리 139번지 외 1필지(115번지)
2nd row충청남도 금산군 복수면 곡남리 304번지 1호
3rd row충청남도 금산군 추부면 장대리 466번지 2호
4th row충청남도 금산군 남일면 마장리 327번지 외 1필(332)
5th row충청남도 금산군 부리면 선원리 807번지 외 2필
ValueCountFrequency (%)
충청남도 350
 
17.6%
금산군 350
 
17.6%
1호 74
 
3.7%
복수면 49
 
2.5%
부리면 47
 
2.4%
금성면 47
 
2.4%
군북면 45
 
2.3%
추부면 44
 
2.2%
진산면 34
 
1.7%
제원면 25
 
1.3%
Other values (446) 927
46.5%
2024-01-10T05:45:22.185488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2298
24.9%
산 426
 
4.6%
금 425
 
4.6%
군 395
 
4.3%
리 394
 
4.3%
남 393
 
4.3%
지 384
 
4.2%
도 363
 
3.9%
충 350
 
3.8%
청 350
 
3.8%
Other values (119) 3449
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5473
59.3%
Space Separator 2298
24.9%
Decimal Number 1366
 
14.8%
Dash Punctuation 38
 
0.4%
Other Punctuation 21
 
0.2%
Close Punctuation 15
 
0.2%
Open Punctuation 15
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 426
 
7.8%
금 425
 
7.8%
군 395
 
7.2%
리 394
 
7.2%
남 393
 
7.2%
지 384
 
7.0%
도 363
 
6.6%
충 350
 
6.4%
청 350
 
6.4%
번 344
 
6.3%
Other values (103) 1649
30.1%
Decimal Number
ValueCountFrequency (%)
1 275
20.1%
2 177
13.0%
5 162
11.9%
4 157
11.5%
3 153
11.2%
7 101
 
7.4%
8 99
 
7.2%
6 93
 
6.8%
9 79
 
5.8%
0 70
 
5.1%
Space Separator
ValueCountFrequency (%)
2298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5473
59.3%
Common 3754
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 426
 
7.8%
금 425
 
7.8%
군 395
 
7.2%
리 394
 
7.2%
남 393
 
7.2%
지 384
 
7.0%
도 363
 
6.6%
충 350
 
6.4%
청 350
 
6.4%
번 344
 
6.3%
Other values (103) 1649
30.1%
Common
ValueCountFrequency (%)
2298
61.2%
1 275
 
7.3%
2 177
 
4.7%
5 162
 
4.3%
4 157
 
4.2%
3 153
 
4.1%
7 101
 
2.7%
8 99
 
2.6%
6 93
 
2.5%
9 79
 
2.1%
Other values (6) 160
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5473
59.3%
ASCII 3753
40.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2298
61.2%
1 275
 
7.3%
2 177
 
4.7%
5 162
 
4.3%
4 157
 
4.2%
3 153
 
4.1%
7 101
 
2.7%
8 99
 
2.6%
6 93
 
2.5%
9 79
 
2.1%
Other values (5) 159
 
4.2%
Hangul
ValueCountFrequency (%)
산 426
 
7.8%
금 425
 
7.8%
군 395
 
7.2%
리 394
 
7.2%
남 393
 
7.2%
지 384
 
7.0%
도 363
 
6.6%
충 350
 
6.4%
청 350
 
6.4%
번 344
 
6.3%
Other values (103) 1649
30.1%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

대표자
Text

Distinct343
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-01-10T05:45:22.487492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.1971429
Min length3

Characters and Unicode

Total characters1119
Distinct characters167
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

Unique337 ?
Unique (%)96.3%

Sample

1st row윤석권
2nd row배상성
3rd row정봉구
4th row박병춘
5th row이윤근
ValueCountFrequency (%)
부자양계영농조합 3
 
0.8%
농업회사법인 3
 
0.8%
이상진 2
 
0.6%
이명임 2
 
0.6%
한기종 2
 
0.6%
김영태 2
 
0.6%
김도연 2
 
0.6%
주식회사 2
 
0.6%
박영철 1
 
0.3%
김한귀 1
 
0.3%
Other values (336) 336
94.4%
2024-01-10T05:45:22.911554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 76
 
6.8%
이 49
 
4.4%
영 40
 
3.6%
박 36
 
3.2%
정 35
 
3.1%
길 22
 
2.0%
성 19
 
1.7%
수 18
 
1.6%
현 18
 
1.6%
순 18
 
1.6%
Other values (157) 788
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1109
99.1%
Space Separator 6
 
0.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 76
 
6.9%
이 49
 
4.4%
영 40
 
3.6%
박 36
 
3.2%
정 35
 
3.2%
길 22
 
2.0%
성 19
 
1.7%
수 18
 
1.6%
현 18
 
1.6%
순 18
 
1.6%
Other values (154) 778
70.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1109
99.1%
Common 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 76
 
6.9%
이 49
 
4.4%
영 40
 
3.6%
박 36
 
3.2%
정 35
 
3.2%
길 22
 
2.0%
성 19
 
1.7%
수 18
 
1.6%
현 18
 
1.6%
순 18
 
1.6%
Other values (154) 778
70.2%
Common
ValueCountFrequency (%)
6
60.0%
( 2
 
20.0%
) 2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1109
99.1%
ASCII 10
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 76
 
6.9%
이 49
 
4.4%
영 40
 
3.6%
박 36
 
3.2%
정 35
 
3.2%
길 22
 
2.0%
성 19
 
1.7%
수 18
 
1.6%
현 18
 
1.6%
순 18
 
1.6%
Other values (154) 778
70.2%
ASCII
ValueCountFrequency (%)
6
60.0%
( 2
 
20.0%
) 2
 
20.0%

연락처
Text

MISSING 

Distinct145
Distinct (%)99.3%
Missing204
Missing (%)58.3%
Memory size2.9 KiB
2024-01-10T05:45:23.188506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.0547945
Min length8

Characters and Unicode

Total characters1176
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

Unique144 ?
Unique (%)98.6%

Sample

1st row754-6233
2nd row753-6130
3rd row752-6092
4th row753-0343
5th row752-5492
ValueCountFrequency (%)
752-5492 2
 
1.4%
751-5522 1
 
0.7%
753-5075 1
 
0.7%
754-6233 1
 
0.7%
753-1664 1
 
0.7%
752-7984 1
 
0.7%
752-5306 1
 
0.7%
752-5748 1
 
0.7%
753-0487 1
 
0.7%
753-0986 1
 
0.7%
Other values (135) 135
92.5%
2024-01-10T05:45:23.583003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 217
18.5%
7 202
17.2%
- 148
12.6%
2 129
11.0%
3 112
9.5%
4 74
 
6.3%
0 71
 
6.0%
9 62
 
5.3%
1 56
 
4.8%
6 54
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1028
87.4%
Dash Punctuation 148
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 217
21.1%
7 202
19.6%
2 129
12.5%
3 112
10.9%
4 74
 
7.2%
0 71
 
6.9%
9 62
 
6.0%
1 56
 
5.4%
6 54
 
5.3%
8 51
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 217
18.5%
7 202
17.2%
- 148
12.6%
2 129
11.0%
3 112
9.5%
4 74
 
6.3%
0 71
 
6.0%
9 62
 
5.3%
1 56
 
4.8%
6 54
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 217
18.5%
7 202
17.2%
- 148
12.6%
2 129
11.0%
3 112
9.5%
4 74
 
6.3%
0 71
 
6.0%
9 62
 
5.3%
1 56
 
4.8%
6 54
 
4.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2019-11-28
350 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-11-28
2nd row2019-11-28
3rd row2019-11-28
4th row2019-11-28
5th row2019-11-28

Common Values

ValueCountFrequency (%)
2019-11-28 350
100.0%

Length

2024-01-10T05:45:23.705812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:45:23.785973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-11-28 350
100.0%

Interactions

2024-01-10T05:45:20.108202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:45:23.836762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종사육수
축종1.0000.595
사육수0.5951.000
2024-01-10T05:45:23.905591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육수축종
사육수1.0000.366
축종0.3661.000

Missing values

2024-01-10T05:45:20.238813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:45:20.581604image/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

농장명축종사육수소재지대표자연락처데이터기준일자
0창평농장돼지3500충청남도 금산군 부리면 창평리 139번지 외 1필지(115번지)윤석권754-62332019-11-28
1연흥농장한우100충청남도 금산군 복수면 곡남리 304번지 1호배상성753-61302019-11-28
2정농장한우21충청남도 금산군 추부면 장대리 466번지 2호정봉구752-60922019-11-28
3무내미농장한우76충청남도 금산군 남일면 마장리 327번지 외 1필(332)박병춘<NA>2019-11-28
4e-greenfarm한우250충청남도 금산군 부리면 선원리 807번지 외 2필이윤근753-03432019-11-28
5행복한농장한우27충청남도 금산군 금성면 하류리 434번지 외 1필지전이순752-54922019-11-28
6부자양계영농조합(1농장)산란계68000충청남도 금산군 금성면 하류리 448번지 3호부자양계영농조합<NA>2019-11-28
7정호농장한우133충청남도 금산군 금성면 하류리 416번지 4호 (외 1필지 하류리 127-3)박병운752-22902019-11-28
8매현농장한우25충청남도 금산군 진산면 막현리 133번지김일순752-86252019-11-28
9산흥농장한우125충청남도 금산군 추부면 자부리 488번지 6호김진수753-86892019-11-28
농장명축종사육수소재지대표자연락처데이터기준일자
340금홍한우 영농조합법인한우400충청남도 금산군 금성면 도곡리 127번지 7호 ,127-4, 127-5금홍한우 영농조합법인<NA>2019-11-28
341선인농장염소24충청남도 금산군 진산면 막현리 232번지이재성<NA>2019-11-28
342청풍농장육우30충청남도 금산군 부리면 불이리 537번지정건희<NA>2019-11-28
343장대농장염소14충청남도 금산군 추부면 장대리 374번지 1호김태일<NA>2019-11-28
344성호한우2충청남도 금산군 복수면 구례리 509번지배성호<NA>2019-11-28
345자라전농장한우4충청남도 금산군 복수면 용진리 223번지고현국<NA>2019-11-28
346정수농장한우4충청남도 금산군 추부면 성당리 578번지 1호최재월<NA>2019-11-28
347신천농장한우2충청남도 금산군 남일면 신천리 368번지박광설<NA>2019-11-28
348부자양계영농조합(2농장)산란계80000충청남도 금산군 금성면 하류리 428번지부자양계영농조합<NA>2019-11-28
349부자양계영농조합(3농장)산란계90000충청남도 금산군 금성면 의총리 420번지 5호부자양계영농조합<NA>2019-11-28