Overview

Dataset statistics

Number of variables10
Number of observations972
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.0 KiB
Average record size in memory82.1 B

Variable types

Categorical3
Text3
DateTime2
Numeric2

Dataset

Description제주특별자치도의 가축사육업에 대한 정보로 해당번지를 제외한 소재지 주소와 신고일자, 주 사육업종 정보와 위치정보(위경도)에 대한 현황 데이터 입니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15097020/fileData.do

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
시군구명 is highly overall correlated with 위도High correlation
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:36:08.709627
Analysis finished2023-12-12 15:36:10.892396
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
제주특별자치도
972 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 972
100.0%

Length

2023-12-13T00:36:11.031725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:11.178648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 972
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
제주시
618 
서귀포시
354 

Length

Max length4
Median length3
Mean length3.3641975
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 618
63.6%
서귀포시 354
36.4%

Length

2023-12-13T00:36:11.318154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:11.486689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 618
63.6%
서귀포시 354
36.4%

등록번호
Text

UNIQUE 

Distinct972
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-13T00:36:11.726865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters20412
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

Unique972 ?
Unique (%)100.0%

Sample

1st row6510000-033-2004-0001
2nd row6510000-033-2004-0002
3rd row6510000-033-2004-0004
4th row6510000-033-2004-0005
5th row6510000-033-2004-0006
ValueCountFrequency (%)
6510000-033-2004-0001 1
 
0.1%
6520000-033-2005-0021 1
 
0.1%
6520000-033-2004-1012 1
 
0.1%
6520000-033-2004-1034 1
 
0.1%
6520000-033-2004-1013 1
 
0.1%
6520000-033-2004-1018 1
 
0.1%
6520000-033-2004-1019 1
 
0.1%
6520000-033-2004-1020 1
 
0.1%
6520000-033-2004-1021 1
 
0.1%
6520000-033-2004-1022 1
 
0.1%
Other values (962) 962
99.0%
2023-12-13T00:36:12.128552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8172
40.0%
- 2916
 
14.3%
3 2209
 
10.8%
1 1794
 
8.8%
2 1736
 
8.5%
5 1531
 
7.5%
6 1158
 
5.7%
4 264
 
1.3%
8 259
 
1.3%
9 192
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17496
85.7%
Dash Punctuation 2916
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8172
46.7%
3 2209
 
12.6%
1 1794
 
10.3%
2 1736
 
9.9%
5 1531
 
8.8%
6 1158
 
6.6%
4 264
 
1.5%
8 259
 
1.5%
9 192
 
1.1%
7 181
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2916
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20412
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8172
40.0%
- 2916
 
14.3%
3 2209
 
10.8%
1 1794
 
8.8%
2 1736
 
8.5%
5 1531
 
7.5%
6 1158
 
5.7%
4 264
 
1.3%
8 259
 
1.3%
9 192
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8172
40.0%
- 2916
 
14.3%
3 2209
 
10.8%
1 1794
 
8.8%
2 1736
 
8.5%
5 1531
 
7.5%
6 1158
 
5.7%
4 264
 
1.3%
8 259
 
1.3%
9 192
 
0.9%

업체명
Text

Distinct856
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-13T00:36:12.569094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length4
Mean length4.882716
Min length1

Characters and Unicode

Total characters4746
Distinct characters348
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique803 ?
Unique (%)82.6%

Sample

1st row혜광축산
2nd row선안목장
3rd row제주특별자치도 축산진흥원
4th row월평목장
5th row아침미소목장
ValueCountFrequency (%)
없음 40
 
3.7%
농장 22
 
2.1%
영농조합법인 11
 
1.0%
10
 
0.9%
축사 8
 
0.7%
농업회사법인 7
 
0.7%
목장 6
 
0.6%
우사 6
 
0.6%
주식회사 6
 
0.6%
농업회사법인(주)피그랜드 5
 
0.5%
Other values (870) 952
88.7%
2023-12-13T00:36:13.250845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 578
 
12.2%
농 530
 
11.2%
축 159
 
3.4%
산 142
 
3.0%
목 141
 
3.0%
101
 
2.1%
우 100
 
2.1%
영 89
 
1.9%
한 88
 
1.9%
성 84
 
1.8%
Other values (338) 2734
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4524
95.3%
Space Separator 101
 
2.1%
Decimal Number 40
 
0.8%
Close Punctuation 20
 
0.4%
Open Punctuation 20
 
0.4%
Uppercase Letter 19
 
0.4%
Dash Punctuation 10
 
0.2%
Lowercase Letter 8
 
0.2%
Other Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 578
 
12.8%
농 530
 
11.7%
축 159
 
3.5%
산 142
 
3.1%
목 141
 
3.1%
우 100
 
2.2%
영 89
 
2.0%
한 88
 
1.9%
성 84
 
1.9%
인 80
 
1.8%
Other values (303) 2533
56.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.8%
E 3
15.8%
G 2
10.5%
S 2
10.5%
J 2
10.5%
A 2
10.5%
I 1
 
5.3%
M 1
 
5.3%
H 1
 
5.3%
F 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 23
57.5%
1 4
 
10.0%
3 3
 
7.5%
7 2
 
5.0%
8 2
 
5.0%
4 2
 
5.0%
0 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%
9 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
r 1
12.5%
m 1
12.5%
a 1
12.5%
f 1
12.5%
d 1
12.5%
g 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4524
95.3%
Common 194
 
4.1%
Latin 28
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 578
 
12.8%
농 530
 
11.7%
축 159
 
3.5%
산 142
 
3.1%
목 141
 
3.1%
우 100
 
2.2%
영 89
 
2.0%
한 88
 
1.9%
성 84
 
1.9%
인 80
 
1.8%
Other values (303) 2533
56.0%
Latin
ValueCountFrequency (%)
C 3
 
10.7%
E 3
 
10.7%
o 2
 
7.1%
G 2
 
7.1%
S 2
 
7.1%
J 2
 
7.1%
A 2
 
7.1%
I 1
 
3.6%
r 1
 
3.6%
m 1
 
3.6%
Other values (9) 9
32.1%
Common
ValueCountFrequency (%)
101
52.1%
2 23
 
11.9%
) 20
 
10.3%
( 20
 
10.3%
- 10
 
5.2%
1 4
 
2.1%
3 3
 
1.5%
7 2
 
1.0%
8 2
 
1.0%
, 2
 
1.0%
Other values (6) 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4524
95.3%
ASCII 221
 
4.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 578
 
12.8%
농 530
 
11.7%
축 159
 
3.5%
산 142
 
3.1%
목 141
 
3.1%
우 100
 
2.2%
영 89
 
2.0%
한 88
 
1.9%
성 84
 
1.9%
인 80
 
1.8%
Other values (303) 2533
56.0%
ASCII
ValueCountFrequency (%)
101
45.7%
2 23
 
10.4%
) 20
 
9.0%
( 20
 
9.0%
- 10
 
4.5%
1 4
 
1.8%
C 3
 
1.4%
E 3
 
1.4%
3 3
 
1.4%
o 2
 
0.9%
Other values (24) 32
 
14.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

신고일자
Date

Distinct454
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
Minimum2004-03-12 00:00:00
Maximum2021-11-15 00:00:00
2023-12-13T00:36:13.408943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:36:13.567237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주사육업종
Categorical

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
한우
569 
돼지
261 
육계
 
56
젖소
 
43
산란계
 
32
Other values (2)
 
11

Length

Max length3
Median length2
Mean length2.0329218
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한우 569
58.5%
돼지 261
26.9%
육계 56
 
5.8%
젖소 43
 
4.4%
산란계 32
 
3.3%
오리 6
 
0.6%
육우 5
 
0.5%

Length

2023-12-13T00:36:13.726919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:13.846903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 569
58.5%
돼지 261
26.9%
육계 56
 
5.8%
젖소 43
 
4.4%
산란계 32
 
3.3%
오리 6
 
0.6%
육우 5
 
0.5%

소재지 주소(번지제외)
Text

Distinct116
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-13T00:36:14.102681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length19.016461
Min length14

Characters and Unicode

Total characters18484
Distinct characters128
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

Unique17 ?
Unique (%)1.7%

Sample

1st row제주특별자치도 제주시 봉개동
2nd row제주특별자치도 제주시 해안동
3rd row제주특별자치도 제주시 노형동
4th row제주특별자치도 제주시 용강동
5th row제주특별자치도 제주시 월평동
ValueCountFrequency (%)
제주특별자치도 972
25.6%
제주시 618
16.3%
서귀포시 354
 
9.3%
한림읍 266
 
7.0%
금악리 125
 
3.3%
구좌읍 97
 
2.6%
애월읍 91
 
2.4%
대정읍 79
 
2.1%
남원읍 73
 
1.9%
조천읍 71
 
1.9%
Other values (117) 1055
27.8%
2023-12-13T00:36:14.504188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2829
15.3%
제 1590
 
8.6%
주 1590
 
8.6%
도 1006
 
5.4%
시 1000
 
5.4%
치 972
 
5.3%
자 972
 
5.3%
별 972
 
5.3%
특 972
 
5.3%
리 885
 
4.8%
Other values (118) 5696
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15655
84.7%
Space Separator 2829
 
15.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1590
 
10.2%
주 1590
 
10.2%
도 1006
 
6.4%
시 1000
 
6.4%
치 972
 
6.2%
자 972
 
6.2%
별 972
 
6.2%
특 972
 
6.2%
리 885
 
5.7%
읍 748
 
4.8%
Other values (117) 4948
31.6%
Space Separator
ValueCountFrequency (%)
2829
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15655
84.7%
Common 2829
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1590
 
10.2%
주 1590
 
10.2%
도 1006
 
6.4%
시 1000
 
6.4%
치 972
 
6.2%
자 972
 
6.2%
별 972
 
6.2%
특 972
 
6.2%
리 885
 
5.7%
읍 748
 
4.8%
Other values (117) 4948
31.6%
Common
ValueCountFrequency (%)
2829
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15655
84.7%
ASCII 2829
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2829
100.0%
Hangul
ValueCountFrequency (%)
제 1590
 
10.2%
주 1590
 
10.2%
도 1006
 
6.4%
시 1000
 
6.4%
치 972
 
6.2%
자 972
 
6.2%
별 972
 
6.2%
특 972
 
6.2%
리 885
 
5.7%
읍 748
 
4.8%
Other values (117) 4948
31.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct935
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.378413
Minimum33.199633
Maximum33.5448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:36:14.668757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.199633
5-th percentile33.257446
Q133.323007
median33.364821
Q333.444397
95-th percentile33.504886
Maximum33.5448
Range0.3451667
Interquartile range (IQR)0.12138942

Descriptive statistics

Standard deviation0.077503332
Coefficient of variation (CV)0.0023219597
Kurtosis-0.92393354
Mean33.378413
Median Absolute Deviation (MAD)0.061144
Skewness0.14761874
Sum32443.818
Variance0.0060067664
MonotonicityNot monotonic
2023-12-13T00:36:14.823361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.503748 4
 
0.4%
33.4945844 3
 
0.3%
33.4460297 3
 
0.3%
33.3239917 3
 
0.3%
33.5037327 3
 
0.3%
33.3035087 3
 
0.3%
33.4127906 3
 
0.3%
33.4930928 2
 
0.2%
33.419681 2
 
0.2%
33.3386703 2
 
0.2%
Other values (925) 944
97.1%
ValueCountFrequency (%)
33.199633 1
0.1%
33.2293285 1
0.1%
33.2340653 1
0.1%
33.2365504 1
0.1%
33.2374235 1
0.1%
33.2399595 1
0.1%
33.2404627 1
0.1%
33.2411903 1
0.1%
33.2431249 1
0.1%
33.244105 1
0.1%
ValueCountFrequency (%)
33.5447997 1
0.1%
33.5384384 1
0.1%
33.538401 1
0.1%
33.538348 1
0.1%
33.5382011 1
0.1%
33.5343081 1
0.1%
33.5327687 1
0.1%
33.5298224 1
0.1%
33.5296544 1
0.1%
33.5285491 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct935
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.48247
Minimum126.16907
Maximum126.9558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:36:14.992772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16907
5-th percentile126.23272
Q1126.28647
median126.37551
Q3126.71492
95-th percentile126.8708
Maximum126.9558
Range0.786731
Interquartile range (IQR)0.42845027

Descriptive statistics

Standard deviation0.22704454
Coefficient of variation (CV)0.0017950673
Kurtosis-1.3397196
Mean126.48247
Median Absolute Deviation (MAD)0.1255332
Skewness0.48774942
Sum122940.96
Variance0.051549222
MonotonicityNot monotonic
2023-12-13T00:36:15.193789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8713909 4
 
0.4%
126.7155075 3
 
0.3%
126.775763 3
 
0.3%
126.6735318 3
 
0.3%
126.8697122 3
 
0.3%
126.6728541 3
 
0.3%
126.8801483 3
 
0.3%
126.6432288 2
 
0.2%
126.439646 2
 
0.2%
126.7608538 2
 
0.2%
Other values (925) 944
97.1%
ValueCountFrequency (%)
126.169068 1
0.1%
126.180521 1
0.1%
126.1817054 1
0.1%
126.1834395 1
0.1%
126.184792 1
0.1%
126.186447 1
0.1%
126.1873123 1
0.1%
126.1881277 1
0.1%
126.188397 1
0.1%
126.1888306 1
0.1%
ValueCountFrequency (%)
126.955799 1
0.1%
126.947325 1
0.1%
126.9090846 1
0.1%
126.905003 1
0.1%
126.9040622 1
0.1%
126.902451 1
0.1%
126.9019999 1
0.1%
126.9019194 1
0.1%
126.9017342 1
0.1%
126.900117 1
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
Minimum2021-12-21 00:00:00
Maximum2021-12-21 00:00:00
2023-12-13T00:36:15.400687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:36:15.535146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:36:09.767091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:36:09.413476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:36:09.957298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:36:09.575335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:36:15.629807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명주사육업종위도경도
시군구명1.0000.1990.8610.516
주사육업종0.1991.0000.4130.337
위도0.8610.4131.0000.778
경도0.5160.3370.7781.000
2023-12-13T00:36:15.761950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명주사육업종
시군구명1.0000.212
주사육업종0.2121.000
2023-12-13T00:36:15.877567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군구명주사육업종
위도1.0000.5150.6910.223
경도0.5151.0000.3960.177
시군구명0.6910.3961.0000.212
주사육업종0.2230.1770.2121.000

Missing values

2023-12-13T00:36:10.177295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:36:10.794785image/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

시도명시군구명등록번호업체명신고일자주사육업종소재지 주소(번지제외)위도경도데이터기준일자
0제주특별자치도제주시6510000-033-2004-0001혜광축산2004-03-12한우제주특별자치도 제주시 봉개동33.482228126.5922172021-12-21
1제주특별자치도제주시6510000-033-2004-0002선안목장2004-03-12한우제주특별자치도 제주시 해안동33.437043126.476532021-12-21
2제주특별자치도제주시6510000-033-2004-0004제주특별자치도 축산진흥원2004-07-19한우제주특별자치도 제주시 노형동33.446356126.4861492021-12-21
3제주특별자치도제주시6510000-033-2004-0005월평목장2004-07-21젖소제주특별자치도 제주시 용강동33.457404126.5888672021-12-21
4제주특별자치도제주시6510000-033-2004-0006아침미소목장2004-07-29젖소제주특별자치도 제주시 월평동33.454439126.5864922021-12-21
5제주특별자치도제주시6510000-033-2004-0007제일농장2004-08-10돼지제주특별자치도 제주시 해안동33.445383126.4749732021-12-21
6제주특별자치도제주시6510000-033-2004-0008태흥축산2004-08-12돼지제주특별자치도 제주시 해안동33.444354126.4750952021-12-21
7제주특별자치도제주시6510000-033-2004-0009암반수목야원영농조합법인2004-09-09한우제주특별자치도 제주시 회천동33.468728126.6281822021-12-21
8제주특별자치도제주시6510000-033-2004-1001장두규 농장2004-04-30한우제주특별자치도 제주시 한림읍 금악리33.362251126.3029132021-12-21
9제주특별자치도제주시6510000-033-2004-1003한강목장2004-05-07한우제주특별자치도 제주시 한림읍 금악리33.358766126.3378642021-12-21
시도명시군구명등록번호업체명신고일자주사육업종소재지 주소(번지제외)위도경도데이터기준일자
962제주특별자치도서귀포시6520000-033-2021-0001허창기 우사2021-02-10한우제주특별자치도 서귀포시 대정읍 보성리33.278049126.2750172021-12-21
963제주특별자치도서귀포시6520000-033-2021-0002동엽목장2021-03-02한우제주특별자치도 서귀포시 안덕면 상창리33.263455126.3413892021-12-21
964제주특별자치도서귀포시6520000-033-2021-0003김명준 우사2021-04-13한우제주특별자치도 서귀포시 남원읍 신흥리33.36844126.7237682021-12-21
965제주특별자치도서귀포시6520000-033-2021-0004정웅농축산2021-04-26한우제주특별자치도 서귀포시 대정읍 동일리33.245078126.2459132021-12-21
966제주특별자치도서귀포시6520000-033-2021-0005올인축산2021-04-26한우제주특별자치도 서귀포시 중문동33.273458126.437842021-12-21
967제주특별자치도서귀포시6520000-033-2021-0006제주한우2021-05-11한우제주특별자치도 서귀포시 안덕면 동광리33.294018126.3351822021-12-21
968제주특별자치도서귀포시6520000-033-2021-0007동광목장2021-05-27한우제주특별자치도 서귀포시 안덕면 동광리33.313839126.3562122021-12-21
969제주특별자치도서귀포시6520000-033-2021-0008명품한우농장2021-06-25한우제주특별자치도 서귀포시 대정읍 동일리33.258558126.2505152021-12-21
970제주특별자치도서귀포시6520000-033-2021-0010후룩하누2021-09-01한우제주특별자치도 서귀포시 표선면 가시리33.364102126.7736112021-12-21
971제주특별자치도서귀포시6520000-033-2021-0011광평목장 22021-10-12한우제주특별자치도 서귀포시 안덕면 광평리33.328091126.3755112021-12-21