Overview

Dataset statistics

Number of variables7
Number of observations1429
Missing cells850
Missing cells (%)8.5%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory79.7 KiB
Average record size in memory57.1 B

Variable types

Text3
Categorical3
Numeric1

Dataset

Description충청남도 부여군에서 관리하는 축산 및 가금류 농가정보(농장명, 농장규모, 사육두수, 도로명주소, 대표자명, 가축종류 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=396&beforeMenuCd=DOM_000000201001001000&publicdatapk=15047891

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
축종 is highly overall correlated with 주사육업종High correlation
주사육업종 is highly overall correlated with 축종High correlation
주사육업종 is highly imbalanced (65.4%)Imbalance
축종 is highly imbalanced (63.5%)Imbalance
소재지(도로명) has 850 (59.5%) missing valuesMissing

Reproduction

Analysis started2024-01-09 21:52:42.695925
Analysis finished2024-01-09 21:52:43.309241
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장명
Text

Distinct1131
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-01-10T06:52:43.520417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length4.2869139
Min length2

Characters and Unicode

Total characters6126
Distinct characters370
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique954 ?
Unique (%)66.8%

Sample

1st row소망농장
2nd row싸리골 목장
3rd row정각농장
4th row목동목장
5th row지산농장
ValueCountFrequency (%)
한우농장 15
 
1.0%
우리농장 11
 
0.8%
농장 10
 
0.7%
청송농장 9
 
0.6%
부부농장 8
 
0.5%
가중농장 6
 
0.4%
대양농장 6
 
0.4%
거전농장 6
 
0.4%
대성농장 6
 
0.4%
나복농장 5
 
0.3%
Other values (1129) 1380
94.4%
2024-01-10T06:52:43.889177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1199
 
19.6%
농 1065
 
17.4%
산 174
 
2.8%
목 156
 
2.5%
축 125
 
2.0%
우 101
 
1.6%
성 83
 
1.4%
원 78
 
1.3%
영 70
 
1.1%
정 66
 
1.1%
Other values (360) 3009
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6031
98.4%
Space Separator 33
 
0.5%
Decimal Number 27
 
0.4%
Uppercase Letter 12
 
0.2%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Letter Number 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1199
19.9%
농 1065
 
17.7%
산 174
 
2.9%
목 156
 
2.6%
축 125
 
2.1%
우 101
 
1.7%
성 83
 
1.4%
원 78
 
1.3%
영 70
 
1.2%
정 66
 
1.1%
Other values (336) 2914
48.3%
Uppercase Letter
ValueCountFrequency (%)
K 3
25.0%
M 2
16.7%
J 2
16.7%
A 1
 
8.3%
G 1
 
8.3%
C 1
 
8.3%
F 1
 
8.3%
S 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 14
51.9%
3 6
22.2%
0 3
 
11.1%
1 2
 
7.4%
5 1
 
3.7%
6 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
r 1
33.3%
a 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6030
98.4%
Common 77
 
1.3%
Latin 18
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1199
19.9%
농 1065
 
17.7%
산 174
 
2.9%
목 156
 
2.6%
축 125
 
2.1%
우 101
 
1.7%
성 83
 
1.4%
원 78
 
1.3%
영 70
 
1.2%
정 66
 
1.1%
Other values (335) 2913
48.3%
Latin
ValueCountFrequency (%)
K 3
16.7%
Ⅱ 2
11.1%
M 2
11.1%
J 2
11.1%
A 1
 
5.6%
G 1
 
5.6%
Ⅰ 1
 
5.6%
C 1
 
5.6%
m 1
 
5.6%
r 1
 
5.6%
Other values (3) 3
16.7%
Common
ValueCountFrequency (%)
33
42.9%
2 14
18.2%
) 7
 
9.1%
( 7
 
9.1%
3 6
 
7.8%
0 3
 
3.9%
1 2
 
2.6%
. 2
 
2.6%
5 1
 
1.3%
6 1
 
1.3%
Han
ValueCountFrequency (%)
牛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6030
98.4%
ASCII 92
 
1.5%
Number Forms 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1199
19.9%
농 1065
 
17.7%
산 174
 
2.9%
목 156
 
2.6%
축 125
 
2.1%
우 101
 
1.7%
성 83
 
1.4%
원 78
 
1.3%
영 70
 
1.2%
정 66
 
1.1%
Other values (335) 2913
48.3%
ASCII
ValueCountFrequency (%)
33
35.9%
2 14
15.2%
) 7
 
7.6%
( 7
 
7.6%
3 6
 
6.5%
K 3
 
3.3%
0 3
 
3.3%
1 2
 
2.2%
M 2
 
2.2%
J 2
 
2.2%
Other values (12) 13
 
14.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
CJK
ValueCountFrequency (%)
牛 1
100.0%

주사육업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
한우
1161 
육계
 
97
염소
 
65
젖소
 
40
돼지
 
36
Other values (5)
 
30

Length

Max length7
Median length2
Mean length2.0244927
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한우 1161
81.2%
육계 97
 
6.8%
염소 65
 
4.5%
젖소 40
 
2.8%
돼지 36
 
2.5%
육우 8
 
0.6%
종계, 산란계 7
 
0.5%
산양 7
 
0.5%
사슴 7
 
0.5%
오리 1
 
0.1%

Length

2024-01-10T06:52:44.002887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:52:44.097346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 1161
80.8%
육계 97
 
6.8%
염소 65
 
4.5%
젖소 40
 
2.8%
돼지 36
 
2.5%
육우 8
 
0.6%
종계 7
 
0.5%
산란계 7
 
0.5%
산양 7
 
0.5%
사슴 7
 
0.5%

축종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
한우
1071 
육계
 
95
<NA>
 
74
염소
 
57
젖소
 
37
Other values (15)
 
95

Length

Max length7
Median length2
Mean length2.213436
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
한우 1071
74.9%
육계 95
 
6.6%
<NA> 74
 
5.2%
염소 57
 
4.0%
젖소 37
 
2.6%
돼지 35
 
2.4%
한우, 육우 13
 
0.9%
한우, 염소 9
 
0.6%
육우 9
 
0.6%
산양 6
 
0.4%
Other values (10) 23
 
1.6%

Length

2024-01-10T06:52:44.202859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 1099
74.9%
육계 97
 
6.6%
na 74
 
5.0%
염소 67
 
4.6%
젖소 40
 
2.7%
돼지 37
 
2.5%
육우 23
 
1.6%
사슴 10
 
0.7%
산양 8
 
0.5%
종계 5
 
0.3%
Other values (3) 7
 
0.5%

소재지(지번)
Text

Distinct1370
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-01-10T06:52:44.436705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length71
Mean length26.223933
Min length4

Characters and Unicode

Total characters37474
Distinct characters153
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

Unique1329 ?
Unique (%)93.0%

Sample

1st row충청남도 부여군 홍산면 교원리 444번지 1호 , 444-2
2nd row충청남도 부여군 은산면 장벌리 272번지 1 2호
3rd row충청남도 부여군 석성면 정각리 210번지
4th row충청남도 부여군 옥산면 홍연리 520번지 외1(521)
5th row충청남도 부여군 세도면 청송리 691번지 2호 외 2(690, 691-3)
ValueCountFrequency (%)
충청남도 1412
 
17.4%
부여군 1412
 
17.4%
은산면 278
 
3.4%
1호 269
 
3.3%
규암면 164
 
2.0%
2호 139
 
1.7%
3호 107
 
1.3%
세도면 106
 
1.3%
장암면 100
 
1.2%
부여읍 99
 
1.2%
Other values (1023) 4025
49.6%
2024-01-10T06:52:44.810948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9495
25.3%
부 1520
 
4.1%
여 1520
 
4.1%
도 1518
 
4.1%
남 1504
 
4.0%
충 1474
 
3.9%
지 1472
 
3.9%
청 1451
 
3.9%
군 1419
 
3.8%
리 1413
 
3.8%
Other values (143) 14688
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22105
59.0%
Space Separator 9495
25.3%
Decimal Number 5540
 
14.8%
Dash Punctuation 132
 
0.4%
Other Punctuation 82
 
0.2%
Open Punctuation 60
 
0.2%
Close Punctuation 60
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1520
 
6.9%
여 1520
 
6.9%
도 1518
 
6.9%
남 1504
 
6.8%
충 1474
 
6.7%
지 1472
 
6.7%
청 1451
 
6.6%
군 1419
 
6.4%
리 1413
 
6.4%
번 1406
 
6.4%
Other values (128) 7408
33.5%
Decimal Number
ValueCountFrequency (%)
1 1081
19.5%
2 763
13.8%
3 660
11.9%
4 534
9.6%
5 524
9.5%
6 456
8.2%
8 414
 
7.5%
7 400
 
7.2%
9 358
 
6.5%
0 350
 
6.3%
Space Separator
ValueCountFrequency (%)
9495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Other Punctuation
ValueCountFrequency (%)
, 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22105
59.0%
Common 15369
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1520
 
6.9%
여 1520
 
6.9%
도 1518
 
6.9%
남 1504
 
6.8%
충 1474
 
6.7%
지 1472
 
6.7%
청 1451
 
6.6%
군 1419
 
6.4%
리 1413
 
6.4%
번 1406
 
6.4%
Other values (128) 7408
33.5%
Common
ValueCountFrequency (%)
9495
61.8%
1 1081
 
7.0%
2 763
 
5.0%
3 660
 
4.3%
4 534
 
3.5%
5 524
 
3.4%
6 456
 
3.0%
8 414
 
2.7%
7 400
 
2.6%
9 358
 
2.3%
Other values (5) 684
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22105
59.0%
ASCII 15369
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9495
61.8%
1 1081
 
7.0%
2 763
 
5.0%
3 660
 
4.3%
4 534
 
3.5%
5 524
 
3.4%
6 456
 
3.0%
8 414
 
2.7%
7 400
 
2.6%
9 358
 
2.3%
Other values (5) 684
 
4.5%
Hangul
ValueCountFrequency (%)
부 1520
 
6.9%
여 1520
 
6.9%
도 1518
 
6.9%
남 1504
 
6.8%
충 1474
 
6.7%
지 1472
 
6.7%
청 1451
 
6.6%
군 1419
 
6.4%
리 1413
 
6.4%
번 1406
 
6.4%
Other values (128) 7408
33.5%

소재지(도로명)
Text

MISSING 

Distinct555
Distinct (%)95.9%
Missing850
Missing (%)59.5%
Memory size11.3 KiB
2024-01-10T06:52:45.029832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length22.982729
Min length18

Characters and Unicode

Total characters13307
Distinct characters161
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

Unique535 ?
Unique (%)92.4%

Sample

1st row충청남도 부여군 홍산면 대백제로 787-51
2nd row충청남도 부여군 옥산면 홍연로26번길 3-33
3rd row충청남도 부여군 세도면 세도로 195
4th row충청남도 부여군 충화면 팔충로 493-26
5th row충청남도 부여군 장암면 위덕로 588-24
ValueCountFrequency (%)
충청남도 579
20.0%
부여군 579
20.0%
은산면 108
 
3.7%
부여읍 51
 
1.8%
규암면 48
 
1.7%
세도면 45
 
1.6%
초촌면 41
 
1.4%
장암면 40
 
1.4%
남면 39
 
1.3%
외산면 37
 
1.3%
Other values (788) 1330
45.9%
2024-01-10T06:52:45.353707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2318
17.4%
충 681
 
5.1%
남 662
 
5.0%
도 648
 
4.9%
부 640
 
4.8%
여 630
 
4.7%
청 583
 
4.4%
군 579
 
4.4%
로 572
 
4.3%
면 528
 
4.0%
Other values (151) 5466
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8125
61.1%
Decimal Number 2529
 
19.0%
Space Separator 2318
 
17.4%
Dash Punctuation 333
 
2.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 681
 
8.4%
남 662
 
8.1%
도 648
 
8.0%
부 640
 
7.9%
여 630
 
7.8%
청 583
 
7.2%
군 579
 
7.1%
로 572
 
7.0%
면 528
 
6.5%
길 261
 
3.2%
Other values (137) 2341
28.8%
Decimal Number
ValueCountFrequency (%)
1 462
18.3%
2 329
13.0%
3 309
12.2%
4 247
9.8%
6 222
8.8%
5 221
8.7%
7 201
7.9%
9 193
7.6%
8 174
 
6.9%
0 171
 
6.8%
Space Separator
ValueCountFrequency (%)
2318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 333
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8125
61.1%
Common 5182
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 681
 
8.4%
남 662
 
8.1%
도 648
 
8.0%
부 640
 
7.9%
여 630
 
7.8%
청 583
 
7.2%
군 579
 
7.1%
로 572
 
7.0%
면 528
 
6.5%
길 261
 
3.2%
Other values (137) 2341
28.8%
Common
ValueCountFrequency (%)
2318
44.7%
1 462
 
8.9%
- 333
 
6.4%
2 329
 
6.3%
3 309
 
6.0%
4 247
 
4.8%
6 222
 
4.3%
5 221
 
4.3%
7 201
 
3.9%
9 193
 
3.7%
Other values (4) 347
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8125
61.1%
ASCII 5182
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2318
44.7%
1 462
 
8.9%
- 333
 
6.4%
2 329
 
6.3%
3 309
 
6.0%
4 247
 
4.8%
6 222
 
4.3%
5 221
 
4.3%
7 201
 
3.9%
9 193
 
3.7%
Other values (4) 347
 
6.7%
Hangul
ValueCountFrequency (%)
충 681
 
8.4%
남 662
 
8.1%
도 648
 
8.0%
부 640
 
7.9%
여 630
 
7.8%
청 583
 
7.2%
군 579
 
7.1%
로 572
 
7.0%
면 528
 
6.5%
길 261
 
3.2%
Other values (137) 2341
28.8%

규모(제곱미터)
Real number (ℝ)

Distinct997
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean942.30367
Minimum0
Maximum30527.96
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-01-10T06:52:45.461334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q1130.9
median384
Q31158.8
95-th percentile3369.252
Maximum30527.96
Range30527.96
Interquartile range (IQR)1027.9

Descriptive statistics

Standard deviation1734.6792
Coefficient of variation (CV)1.8408919
Kurtosis108.07359
Mean942.30367
Median Absolute Deviation (MAD)312
Skewness8.1736039
Sum1346551.9
Variance3009111.9
MonotonicityNot monotonic
2024-01-10T06:52:45.564480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 21
 
1.5%
48.0 17
 
1.2%
96.0 15
 
1.0%
40.0 14
 
1.0%
350.0 12
 
0.8%
90.0 12
 
0.8%
500.0 11
 
0.8%
98.0 11
 
0.8%
396.0 11
 
0.8%
250.0 11
 
0.8%
Other values (987) 1294
90.6%
ValueCountFrequency (%)
0.0 2
0.1%
5.72 1
 
0.1%
10.0 1
 
0.1%
11.22 1
 
0.1%
12.0 1
 
0.1%
13.2 2
0.1%
15.0 4
0.3%
15.36 1
 
0.1%
16.0 1
 
0.1%
16.5 2
0.1%
ValueCountFrequency (%)
30527.96 1
0.1%
26400.0 1
0.1%
20142.03 1
0.1%
14460.0 1
0.1%
14428.23 1
0.1%
11517.44 1
0.1%
9750.0 1
0.1%
8047.14 1
0.1%
7978.1 1
0.1%
7375.0 1
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-09-30
1429 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 1429
100.0%

Length

2024-01-10T06:52:45.693471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:52:45.790116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 1429
100.0%

Interactions

2024-01-10T06:52:43.091990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:52:45.847657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종축종규모(제곱미터)
주사육업종1.0000.9870.342
축종0.9871.0000.732
규모(제곱미터)0.3420.7321.000
2024-01-10T06:52:45.935918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종주사육업종
축종1.0000.916
주사육업종0.9161.000
2024-01-10T06:52:46.017315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모(제곱미터)주사육업종축종
규모(제곱미터)1.0000.1700.415
주사육업종0.1701.0000.916
축종0.4150.9161.000

Missing values

2024-01-10T06:52:43.184921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:52:43.271544image/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

농장명주사육업종축종소재지(지번)소재지(도로명)규모(제곱미터)데이터기준일자
0소망농장한우한우충청남도 부여군 홍산면 교원리 444번지 1호 , 444-2충청남도 부여군 홍산면 대백제로 787-513301.042023-09-30
1싸리골 목장한우한우충청남도 부여군 은산면 장벌리 272번지 1 2호<NA>890.522023-09-30
2정각농장한우한우충청남도 부여군 석성면 정각리 210번지<NA>620.02023-09-30
3목동목장젖소젖소충청남도 부여군 옥산면 홍연리 520번지 외1(521)충청남도 부여군 옥산면 홍연로26번길 3-331708.632023-09-30
4지산농장한우한우충청남도 부여군 세도면 청송리 691번지 2호 외 2(690, 691-3)충청남도 부여군 세도면 세도로 195797.02023-09-30
5성일축산육계육계충청남도 부여군 충화면 지석리 566번지충청남도 부여군 충화면 팔충로 493-263586.252023-09-30
6남산축산육계육계충청남도 부여군 장암면 상황리 54번지충청남도 부여군 장암면 위덕로 588-243960.02023-09-30
7찬희농장육계육계충청남도 부여군 내산면 천보리 451번지 1호충청남도 부여군 내산면 홍내로 269-362496.02023-09-30
8덕호목장한우한우충청남도 부여군 장암면 지토리 5번지<NA>693.02023-09-30
9중천농장육계육계충청남도 부여군 충화면 천당리 53번지 2호충청남도 부여군 충화면 팔충로732번길 802142.02023-09-30
농장명주사육업종축종소재지(지번)소재지(도로명)규모(제곱미터)데이터기준일자
1419자매목장젖소<NA>충청남도 부여군 양화면 벽용리 307번지 1호 외1필지(307-2)<NA>2906.72023-09-30
1420부천목장한우<NA>충청남도 부여군 은산면 거전리 443번지 1호<NA>95.02023-09-30
1421오가는농장염소염소충청남도 부여군 임천면 가신리 산 7번지<NA>84.842023-09-30
1422성주농장염소염소충청남도 부여군 은산면 거전리 69번지 13호 외1(산59-19)<NA>120.02023-09-30
1423우네농장한우<NA>충청남도 부여군 홍산면 정동리 720번지 12호충청남도 부여군 홍산면 홍내로 192-21450.02023-09-30
1424K염소농장염소염소충청남도 부여군 외산면 반교리 518번지 3호<NA>198.02023-09-30
1425옥곡리 염소농장염소염소충청남도 부여군 임천면 옥곡리 134번지 2호<NA>30.02023-09-30
1426한우농장2한우<NA>충청남도 부여군 외산면 전장리 163번지충청남도 부여군 외산면 만수로 571-681.02023-09-30
1427큰산농장염소염소충청남도 부여군 은산면 대양리 213번지 2호<NA>40.02023-09-30
1428반딧불한우<NA>충청남도 부여군 세도면 반조원리 297번지<NA>785.252023-09-30

Duplicate rows

Most frequently occurring

농장명주사육업종축종소재지(지번)소재지(도로명)규모(제곱미터)데이터기준일자# duplicates
0청포농장한우한우충청남도 부여군 세도면 청포리 산 14번지 3호<NA>48.52023-09-302