Overview

Dataset statistics

Number of variables9
Number of observations745
Missing cells551
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.7 KiB
Average record size in memory75.2 B

Variable types

Numeric3
Text2
Categorical4

Dataset

Description경기도 양주시 가축분뇨배출시설 현황에 대한 데이터로 농장명, 소재지, 축종, 배출시설, 처리시설, 비고 등의 항목으로 구성되어 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/3076880/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
축종 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 비고High correlation
배출시설 is highly overall correlated with 처리시설 and 1 other fieldsHigh correlation
처리시설 is highly overall correlated with 배출시설High correlation
비고 is highly imbalanced (90.6%)Imbalance
농장명 has 533 (71.5%) missing valuesMissing
처리시설 has 14 (1.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:48:31.267891
Analysis finished2023-12-23 07:48:39.168517
Duration7.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct745
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean373
Minimum1
Maximum745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2023-12-23T07:48:39.417426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.2
Q1187
median373
Q3559
95-th percentile707.8
Maximum745
Range744
Interquartile range (IQR)372

Descriptive statistics

Standard deviation215.20726
Coefficient of variation (CV)0.57696318
Kurtosis-1.2
Mean373
Median Absolute Deviation (MAD)186
Skewness0
Sum277885
Variance46314.167
MonotonicityStrictly increasing
2023-12-23T07:48:40.299138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
501 1
 
0.1%
492 1
 
0.1%
493 1
 
0.1%
494 1
 
0.1%
495 1
 
0.1%
496 1
 
0.1%
497 1
 
0.1%
498 1
 
0.1%
499 1
 
0.1%
Other values (735) 735
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
745 1
0.1%
744 1
0.1%
743 1
0.1%
742 1
0.1%
741 1
0.1%
740 1
0.1%
739 1
0.1%
738 1
0.1%
737 1
0.1%
736 1
0.1%

농장명
Text

MISSING 

Distinct200
Distinct (%)94.3%
Missing533
Missing (%)71.5%
Memory size5.9 KiB
2023-12-23T07:48:41.706046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length4.5
Min length3

Characters and Unicode

Total characters954
Distinct characters204
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)88.7%

Sample

1st row대유농장
2nd row기영농장
3rd row싱싱농장
4th row농업회사법인주식회사 도나도나
5th row누렁소농장
ValueCountFrequency (%)
다윗목장 2
 
0.9%
세인농장 2
 
0.9%
선업목장 2
 
0.9%
강원목장 2
 
0.9%
송현목장 2
 
0.9%
대흥농장 2
 
0.9%
강우지목장 2
 
0.9%
송암목장 2
 
0.9%
하랑목장 2
 
0.9%
무궁화농장 2
 
0.9%
Other values (194) 197
90.8%
2023-12-23T07:48:45.008960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 193
20.2%
농 115
 
12.1%
목 89
 
9.3%
산 16
 
1.7%
영 15
 
1.6%
인 13
 
1.4%
원 12
 
1.3%
우 10
 
1.0%
조 10
 
1.0%
암 9
 
0.9%
Other values (194) 472
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 942
98.7%
Space Separator 5
 
0.5%
Decimal Number 4
 
0.4%
Other Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 193
20.5%
농 115
 
12.2%
목 89
 
9.4%
산 16
 
1.7%
영 15
 
1.6%
인 13
 
1.4%
원 12
 
1.3%
우 10
 
1.1%
조 10
 
1.1%
암 9
 
1.0%
Other values (189) 460
48.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 943
98.8%
Common 11
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 193
20.5%
농 115
 
12.2%
목 89
 
9.4%
산 16
 
1.7%
영 15
 
1.6%
인 13
 
1.4%
원 12
 
1.3%
우 10
 
1.1%
조 10
 
1.1%
암 9
 
1.0%
Other values (190) 461
48.9%
Common
ValueCountFrequency (%)
5
45.5%
2 4
36.4%
) 1
 
9.1%
( 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 942
98.7%
ASCII 11
 
1.2%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 193
20.5%
농 115
 
12.2%
목 89
 
9.4%
산 16
 
1.7%
영 15
 
1.6%
인 13
 
1.4%
원 12
 
1.3%
우 10
 
1.1%
조 10
 
1.1%
암 9
 
1.0%
Other values (189) 460
48.8%
ASCII
ValueCountFrequency (%)
5
45.5%
2 4
36.4%
) 1
 
9.1%
( 1
 
9.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct687
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-23T07:48:47.392577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length48
Mean length24.248322
Min length14

Characters and Unicode

Total characters18065
Distinct characters105
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

Unique632 ?
Unique (%)84.8%

Sample

1st row경기도 양주시 은현면 봉암리 41
2nd row경기도 양주시 은현면 봉암리 13
3rd row경기도 양주시 은현면 하패리 407-2
4th row경기도 양주시 백석읍 오산리 435
5th row경기도 양주시 남면 신산리 141-2
ValueCountFrequency (%)
양주시 765
 
17.6%
경기도 745
 
17.1%
은현면 218
 
5.0%
광적면 162
 
3.7%
남면 154
 
3.5%
백석읍 113
 
2.6%
외 103
 
2.4%
하패리 65
 
1.5%
운암리 51
 
1.2%
도하리 42
 
1.0%
Other values (857) 1929
44.4%
2023-12-23T07:48:49.462960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3602
19.9%
- 868
 
4.8%
도 826
 
4.6%
양 777
 
4.3%
주 765
 
4.2%
시 765
 
4.2%
경 760
 
4.2%
기 751
 
4.2%
1 709
 
3.9%
리 674
 
3.7%
Other values (95) 7568
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8972
49.7%
Decimal Number 3843
21.3%
Space Separator 3602
19.9%
Dash Punctuation 868
 
4.8%
Other Punctuation 330
 
1.8%
Open Punctuation 225
 
1.2%
Close Punctuation 225
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 826
 
9.2%
양 777
 
8.7%
주 765
 
8.5%
시 765
 
8.5%
경 760
 
8.5%
기 751
 
8.4%
리 674
 
7.5%
면 553
 
6.2%
현 231
 
2.6%
은 220
 
2.5%
Other values (79) 2650
29.5%
Decimal Number
ValueCountFrequency (%)
1 709
18.4%
2 542
14.1%
3 520
13.5%
4 405
10.5%
5 383
10.0%
6 326
8.5%
7 297
7.7%
9 238
 
6.2%
8 235
 
6.1%
0 188
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 329
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 868
100.0%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9093
50.3%
Hangul 8972
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 826
 
9.2%
양 777
 
8.7%
주 765
 
8.5%
시 765
 
8.5%
경 760
 
8.5%
기 751
 
8.4%
리 674
 
7.5%
면 553
 
6.2%
현 231
 
2.6%
은 220
 
2.5%
Other values (79) 2650
29.5%
Common
ValueCountFrequency (%)
3602
39.6%
- 868
 
9.5%
1 709
 
7.8%
2 542
 
6.0%
3 520
 
5.7%
4 405
 
4.5%
5 383
 
4.2%
, 329
 
3.6%
6 326
 
3.6%
7 297
 
3.3%
Other values (6) 1112
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9093
50.3%
Hangul 8972
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3602
39.6%
- 868
 
9.5%
1 709
 
7.8%
2 542
 
6.0%
3 520
 
5.7%
4 405
 
4.5%
5 383
 
4.2%
, 329
 
3.6%
6 326
 
3.6%
7 297
 
3.3%
Other values (6) 1112
 
12.2%
Hangul
ValueCountFrequency (%)
도 826
 
9.2%
양 777
 
8.7%
주 765
 
8.5%
시 765
 
8.5%
경 760
 
8.5%
기 751
 
8.4%
리 674
 
7.5%
면 553
 
6.2%
현 231
 
2.6%
은 220
 
2.5%
Other values (79) 2650
29.5%

축종
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
한우
239 
젖소
198 
돼지
140 
닭
69 
소
36 
Other values (24)
63 

Length

Max length10
Median length2
Mean length1.9073826
Min length1

Unique

Unique16 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
한우 239
32.1%
젖소 198
26.6%
돼지 140
18.8%
닭 69
 
9.3%
소 36
 
4.8%
개 15
 
2.0%
말 9
 
1.2%
오리 9
 
1.2%
육우 5
 
0.7%
육계 3
 
0.4%
Other values (19) 22
 
3.0%

Length

2023-12-23T07:48:50.135636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 241
32.1%
젖소 200
26.7%
돼지 140
18.7%
닭 69
 
9.2%
소 37
 
4.9%
개 15
 
2.0%
말 9
 
1.2%
오리 9
 
1.2%
육우 7
 
0.9%
육계 3
 
0.4%
Other values (17) 20
 
2.7%

배출시설
Real number (ℝ)

HIGH CORRELATION 

Distinct663
Distinct (%)89.5%
Missing4
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1043.5317
Minimum102.2
Maximum12580.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2023-12-23T07:48:50.521990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102.2
5-th percentile188.16
Q1396
median766.35
Q31332
95-th percentile2867.68
Maximum12580.12
Range12477.92
Interquartile range (IQR)936

Descriptive statistics

Standard deviation1047.3509
Coefficient of variation (CV)1.0036598
Kurtosis27.110007
Mean1043.5317
Median Absolute Deviation (MAD)400.35
Skewness3.8542181
Sum773257.01
Variance1096943.8
MonotonicityNot monotonic
2023-12-23T07:48:51.051816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396.0 21
 
2.8%
792.0 8
 
1.1%
198.0 7
 
0.9%
324.0 5
 
0.7%
594.0 5
 
0.7%
390.0 4
 
0.5%
600.0 3
 
0.4%
392.0 3
 
0.4%
360.0 3
 
0.4%
160.0 3
 
0.4%
Other values (653) 679
91.1%
(Missing) 4
 
0.5%
ValueCountFrequency (%)
102.2 1
0.1%
103.5 1
0.1%
106.86 1
0.1%
121.5 1
0.1%
128.0 1
0.1%
129.6 1
0.1%
129.7 1
0.1%
130.03 1
0.1%
136.0 2
0.3%
140.0 1
0.1%
ValueCountFrequency (%)
12580.12 1
0.1%
8040.0 1
0.1%
7919.41 1
0.1%
6501.3 1
0.1%
6168.48 1
0.1%
5800.0 1
0.1%
5250.04 1
0.1%
5030.12 1
0.1%
4342.5 2
0.3%
4286.24 1
0.1%

처리시설
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct600
Distinct (%)82.1%
Missing14
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean302.08919
Minimum0
Maximum5563.51
Zeros3
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2023-12-23T07:48:52.327324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.125
Q172.4
median176.72
Q3380.23
95-th percentile968.89
Maximum5563.51
Range5563.51
Interquartile range (IQR)307.83

Descriptive statistics

Standard deviation417.29667
Coefficient of variation (CV)1.3813691
Kurtosis48.797187
Mean302.08919
Median Absolute Deviation (MAD)123.28
Skewness5.2884411
Sum220827.2
Variance174136.51
MonotonicityNot monotonic
2023-12-23T07:48:53.072648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.0 13
 
1.7%
198.0 5
 
0.7%
10.0 5
 
0.7%
100.0 5
 
0.7%
150.0 4
 
0.5%
18.2 4
 
0.5%
36.0 4
 
0.5%
8.1 4
 
0.5%
237.6 4
 
0.5%
39.6 4
 
0.5%
Other values (590) 679
91.1%
(Missing) 14
 
1.9%
ValueCountFrequency (%)
0.0 3
0.4%
2.0 2
 
0.3%
4.83 1
 
0.1%
8.0 2
 
0.3%
8.1 4
0.5%
10.0 5
0.7%
10.14 1
 
0.1%
10.4 1
 
0.1%
12.0 3
0.4%
12.25 1
 
0.1%
ValueCountFrequency (%)
5563.51 1
0.1%
4270.4 1
0.1%
2783.6 1
0.1%
2468.0 1
0.1%
2247.03 1
0.1%
2145.69 1
0.1%
1797.31 1
0.1%
1626.99 1
0.1%
1612.7 1
0.1%
1576.87 1
0.1%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
736 
위탁처리
 
9

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 736
98.8%
위탁처리 9
 
1.2%

Length

2023-12-23T07:48:53.470088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:48:53.804598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 736
98.8%
위탁처리 9
 
1.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
농업기술센터 축산과
745 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농업기술센터 축산과
2nd row농업기술센터 축산과
3rd row농업기술센터 축산과
4th row농업기술센터 축산과
5th row농업기술센터 축산과

Common Values

ValueCountFrequency (%)
농업기술센터 축산과 745
100.0%

Length

2023-12-23T07:48:54.270141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:48:54.741628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업기술센터 745
50.0%
축산과 745
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-11-30
745 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-11-30 745
100.0%

Length

2023-12-23T07:48:55.222083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:48:55.615809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-30 745
100.0%

Interactions

2023-12-23T07:48:35.498646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:32.741634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:33.961627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:35.995349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:33.218891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:34.443724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:36.688816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:33.564301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:48:34.831376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:48:55.911273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번축종배출시설처리시설
연번1.0000.6210.3850.312
축종0.6211.0000.3010.000
배출시설0.3850.3011.0000.928
처리시설0.3120.0000.9281.000
2023-12-23T07:48:56.289322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종비고
축종1.0001.000
비고1.0001.000
2023-12-23T07:48:56.552392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배출시설처리시설축종비고
연번1.0000.4090.4900.2721.000
배출시설0.4091.0000.7850.1191.000
처리시설0.4900.7851.0000.0000.000
축종0.2720.1190.0001.0001.000
비고1.0001.0000.0001.0001.000

Missing values

2023-12-23T07:48:37.440668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:48:38.336959image/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.
2023-12-23T07:48:38.909575image/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

연번농장명소재지축종배출시설처리시설비고관리기관명데이터기준일자
01<NA>경기도 양주시 은현면 봉암리 41돼지398.414.27<NA>농업기술센터 축산과2023-11-30
12대유농장경기도 양주시 은현면 봉암리 13돼지403.2168.48<NA>농업기술센터 축산과2023-11-30
23기영농장경기도 양주시 은현면 하패리 407-2닭2281.067.5<NA>농업기술센터 축산과2023-11-30
34<NA>경기도 양주시 백석읍 오산리 435돼지1277.0117.0<NA>농업기술센터 축산과2023-11-30
45싱싱농장경기도 양주시 남면 신산리 141-2닭5800.0352.0<NA>농업기술센터 축산과2023-11-30
56<NA>경기도 양주시 은현면 하패리 504-5돼지824.43220.0<NA>농업기술센터 축산과2023-11-30
67<NA>경기도 양주시 남면 신산리 22 (23-1, -5, 25)닭1632.032.0<NA>농업기술센터 축산과2023-11-30
78<NA>경기도 양주시 은현면 하패리 451-2돼지587.8149.27<NA>농업기술센터 축산과2023-11-30
89<NA>경기도 양주시 은현면 하패리 394-2돼지679.69130.06<NA>농업기술센터 축산과2023-11-30
910농업회사법인주식회사 도나도나경기도 양주시 백석읍 연곡리 55-3돼지978.2462.0<NA>농업기술센터 축산과2023-11-30
연번농장명소재지축종배출시설처리시설비고관리기관명데이터기준일자
735736<NA>경기도 양주시 은현면 운암리 400-1 (403-2, 404)한우1218.84181.85<NA>농업기술센터 축산과2023-11-30
736737<NA>경기도 양주시 은현면 도하리 120-2한우1202.12159.5<NA>농업기술센터 축산과2023-11-30
737738<NA>경기도 양주시 남면 구암리 75-1 (77-9, 88-1, -2, 89-1, -3, -4)젖소1279.67320.94<NA>농업기술센터 축산과2023-11-30
738739<NA>경기도 양주시 남면 경신리 10-5 (-6)한우2461.62846.72<NA>농업기술센터 축산과2023-11-30
739740<NA>경기도 양주시 광적면 광석리 140-3 (-4, -11)젖소1892.581218.36<NA>농업기술센터 축산과2023-11-30
740741<NA>경기도 양주시 백석읍 홍죽리 172-3 (-4, -5, -6)한우1440.0544.16<NA>농업기술센터 축산과2023-11-30
741742<NA>경기도 양주시 은현면 선암리 442-1 (-2, -3)젖소748.35222.94<NA>농업기술센터 축산과2023-11-30
742743항아뜰 연곡목장경기도 양주시 백석읍 연곡리 314 (-2)한우887.1151.2<NA>농업기술센터 축산과2023-11-30
743744<NA>경기도 양주시 백석읍 오산리 113-3한우693.0144.0<NA>농업기술센터 축산과2023-11-30
744745<NA>경기도 양주시 남면 한산리 22한우511.52110.81<NA>농업기술센터 축산과2023-11-30