Overview

Dataset statistics

Number of variables9
Number of observations765
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory56.2 KiB
Average record size in memory75.2 B

Variable types

Categorical4
Text2
Numeric3

Dataset

Description경상남도 김해시 가금류농장 현황에 대한 데이터로 시도명,시군구명,농장명,사육축종,농장소재지,수육두수,위도,경도 등의 항목을 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15092287

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
사육축종 is highly imbalanced (67.3%)Imbalance

Reproduction

Analysis started2023-12-11 00:35:54.965501
Analysis finished2023-12-11 00:35:56.281774
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
경상남도
765 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 765
100.0%

Length

2023-12-11T09:35:56.351675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:35:56.434177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 765
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
김해시
765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김해시 765
100.0%

Length

2023-12-11T09:35:56.521825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:35:56.603337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김해시 765
100.0%

농장명
Text

Distinct724
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T09:35:56.796055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.6183007
Min length2

Characters and Unicode

Total characters3533
Distinct characters303
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

Unique692 ?
Unique (%)90.5%

Sample

1st row장 농장
2nd row민정축산
3rd row우룡농장
4th row정가축산
5th rowS&C농장
ValueCountFrequency (%)
농장 42
 
5.1%
대성농장 4
 
0.5%
신진bhb 3
 
0.4%
새마을농장 3
 
0.4%
대동축산 3
 
0.4%
용덕농장 3
 
0.4%
실봉농장 3
 
0.4%
유진농장 3
 
0.4%
김수현농장 3
 
0.4%
꼬꼬농장 2
 
0.2%
Other values (722) 747
91.5%
2023-12-11T09:35:57.397038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 637
 
18.0%
농 608
 
17.2%
산 120
 
3.4%
축 110
 
3.1%
김 83
 
2.3%
성 65
 
1.8%
진 53
 
1.5%
51
 
1.4%
영 47
 
1.3%
이 41
 
1.2%
Other values (293) 1718
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3419
96.8%
Space Separator 51
 
1.4%
Decimal Number 30
 
0.8%
Uppercase Letter 26
 
0.7%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 637
 
18.6%
농 608
 
17.8%
산 120
 
3.5%
축 110
 
3.2%
김 83
 
2.4%
성 65
 
1.9%
진 53
 
1.6%
영 47
 
1.4%
이 41
 
1.2%
수 40
 
1.2%
Other values (266) 1615
47.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
23.1%
H 3
11.5%
D 2
 
7.7%
M 2
 
7.7%
I 2
 
7.7%
S 2
 
7.7%
T 1
 
3.8%
J 1
 
3.8%
P 1
 
3.8%
C 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
2 20
66.7%
1 3
 
10.0%
3 3
 
10.0%
0 2
 
6.7%
7 1
 
3.3%
5 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3419
96.8%
Common 86
 
2.4%
Latin 28
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 637
 
18.6%
농 608
 
17.8%
산 120
 
3.5%
축 110
 
3.2%
김 83
 
2.4%
성 65
 
1.9%
진 53
 
1.6%
영 47
 
1.4%
이 41
 
1.2%
수 40
 
1.2%
Other values (266) 1615
47.2%
Latin
ValueCountFrequency (%)
B 6
21.4%
H 3
10.7%
D 2
 
7.1%
M 2
 
7.1%
I 2
 
7.1%
S 2
 
7.1%
T 1
 
3.6%
J 1
 
3.6%
P 1
 
3.6%
C 1
 
3.6%
Other values (7) 7
25.0%
Common
ValueCountFrequency (%)
51
59.3%
2 20
 
23.3%
1 3
 
3.5%
3 3
 
3.5%
( 2
 
2.3%
) 2
 
2.3%
0 2
 
2.3%
7 1
 
1.2%
5 1
 
1.2%
& 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3419
96.8%
ASCII 114
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 637
 
18.6%
농 608
 
17.8%
산 120
 
3.5%
축 110
 
3.2%
김 83
 
2.4%
성 65
 
1.9%
진 53
 
1.6%
영 47
 
1.4%
이 41
 
1.2%
수 40
 
1.2%
Other values (266) 1615
47.2%
ASCII
ValueCountFrequency (%)
51
44.7%
2 20
 
17.5%
B 6
 
5.3%
1 3
 
2.6%
3 3
 
2.6%
H 3
 
2.6%
D 2
 
1.8%
M 2
 
1.8%
I 2
 
1.8%
( 2
 
1.8%
Other values (17) 20
 
17.5%

사육축종
Categorical

IMBALANCE 

Distinct16
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
한우
583 
돼지
111 
육계
 
18
젖소
 
15
한우, 육우
 
10
Other values (11)
 
28

Length

Max length6
Median length2
Mean length2.1372549
Min length2

Unique

Unique6 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
한우 583
76.2%
돼지 111
 
14.5%
육계 18
 
2.4%
젖소 15
 
2.0%
한우, 육우 10
 
1.3%
종계/산란계 7
 
0.9%
염소 6
 
0.8%
한우, 젖소 5
 
0.7%
육우 2
 
0.3%
한우, 돼지 2
 
0.3%
Other values (6) 6
 
0.8%

Length

2023-12-11T09:35:57.533905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 601
76.7%
돼지 113
 
14.4%
젖소 20
 
2.6%
육계 18
 
2.3%
육우 12
 
1.5%
종계/산란계 7
 
0.9%
염소 7
 
0.9%
사슴 3
 
0.4%
타조 1
 
0.1%
메추리 1
 
0.1%

농장소재지
Text

Distinct756
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T09:35:57.807053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length26.09281
Min length18

Characters and Unicode

Total characters19961
Distinct characters112
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique748 ?
Unique (%)97.8%

Sample

1st row경상남도 김해시 생림면 사촌리 59번지 5호
2nd row경상남도 김해시 한림면 안하리 716번지 1호
3rd row경상남도 김해시 한림면 장방리 2277번지
4th row경상남도 김해시 무계동 2번지
5th row경상남도 김해시 내덕동 68번지 0002호
ValueCountFrequency (%)
경상남도 765
18.1%
김해시 765
18.1%
한림면 366
 
8.7%
생림면 178
 
4.2%
1호 96
 
2.3%
안하리 67
 
1.6%
장방리 61
 
1.4%
용덕리 61
 
1.4%
2호 58
 
1.4%
진영읍 48
 
1.1%
Other values (720) 1754
41.6%
2023-12-11T09:35:58.190679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4975
24.9%
시 802
 
4.0%
상 797
 
4.0%
도 772
 
3.9%
지 770
 
3.9%
김 766
 
3.8%
해 766
 
3.8%
경 765
 
3.8%
남 765
 
3.8%
번 761
 
3.8%
Other values (102) 8022
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11769
59.0%
Space Separator 4975
24.9%
Decimal Number 3213
 
16.1%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 802
 
6.8%
상 797
 
6.8%
도 772
 
6.6%
지 770
 
6.5%
김 766
 
6.5%
해 766
 
6.5%
경 765
 
6.5%
남 765
 
6.5%
번 761
 
6.5%
리 722
 
6.1%
Other values (89) 4083
34.7%
Decimal Number
ValueCountFrequency (%)
1 580
18.1%
0 530
16.5%
2 344
10.7%
3 299
9.3%
4 280
8.7%
5 272
8.5%
6 247
7.7%
7 232
 
7.2%
9 217
 
6.8%
8 212
 
6.6%
Space Separator
ValueCountFrequency (%)
4975
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11769
59.0%
Common 8192
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 802
 
6.8%
상 797
 
6.8%
도 772
 
6.6%
지 770
 
6.5%
김 766
 
6.5%
해 766
 
6.5%
경 765
 
6.5%
남 765
 
6.5%
번 761
 
6.5%
리 722
 
6.1%
Other values (89) 4083
34.7%
Common
ValueCountFrequency (%)
4975
60.7%
1 580
 
7.1%
0 530
 
6.5%
2 344
 
4.2%
3 299
 
3.6%
4 280
 
3.4%
5 272
 
3.3%
6 247
 
3.0%
7 232
 
2.8%
9 217
 
2.6%
Other values (3) 216
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11769
59.0%
ASCII 8192
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4975
60.7%
1 580
 
7.1%
0 530
 
6.5%
2 344
 
4.2%
3 299
 
3.6%
4 280
 
3.4%
5 272
 
3.3%
6 247
 
3.0%
7 232
 
2.8%
9 217
 
2.6%
Other values (3) 216
 
2.6%
Hangul
ValueCountFrequency (%)
시 802
 
6.8%
상 797
 
6.8%
도 772
 
6.6%
지 770
 
6.5%
김 766
 
6.5%
해 766
 
6.5%
경 765
 
6.5%
남 765
 
6.5%
번 761
 
6.5%
리 722
 
6.1%
Other values (89) 4083
34.7%

사육두수
Real number (ℝ)

Distinct168
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1577.2641
Minimum0
Maximum250000
Zeros7
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T09:35:58.317832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q116
median45
Q3140
95-th percentile2500
Maximum250000
Range250000
Interquartile range (IQR)124

Descriptive statistics

Standard deviation12867.559
Coefficient of variation (CV)8.1581516
Kurtosis217.98227
Mean1577.2641
Median Absolute Deviation (MAD)35
Skewness13.595283
Sum1206607
Variance1.6557408 × 108
MonotonicityNot monotonic
2023-12-11T09:35:58.445567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 27
 
3.5%
60 26
 
3.4%
30 26
 
3.4%
20 25
 
3.3%
40 24
 
3.1%
5 23
 
3.0%
100 23
 
3.0%
6 21
 
2.7%
10 21
 
2.7%
80 19
 
2.5%
Other values (158) 530
69.3%
ValueCountFrequency (%)
0 7
 
0.9%
2 10
1.3%
3 15
2.0%
4 10
1.3%
5 23
3.0%
6 21
2.7%
7 12
1.6%
8 11
1.4%
9 12
1.6%
10 21
2.7%
ValueCountFrequency (%)
250000 1
 
0.1%
138672 1
 
0.1%
130500 1
 
0.1%
80000 4
0.5%
40000 1
 
0.1%
30000 1
 
0.1%
20000 2
0.3%
12000 1
 
0.1%
8000 1
 
0.1%
6000 1
 
0.1%

위도
Real number (ℝ)

Distinct708
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.305184
Minimum35.17499
Maximum35.387495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T09:35:58.574586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.17499
5-th percentile35.223367
Q135.289116
median35.310081
Q335.330414
95-th percentile35.367315
Maximum35.387495
Range0.21250498
Interquartile range (IQR)0.04129811

Descriptive statistics

Standard deviation0.041176249
Coefficient of variation (CV)0.0011662947
Kurtosis0.48152164
Mean35.305184
Median Absolute Deviation (MAD)0.02078973
Skewness-0.73261411
Sum27008.465
Variance0.0016954835
MonotonicityNot monotonic
2023-12-11T09:35:58.696999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.32374334 4
 
0.5%
35.33718645 4
 
0.5%
35.35742935 3
 
0.4%
35.36182859 3
 
0.4%
35.29342225 3
 
0.4%
35.34227653 3
 
0.4%
35.23699229 3
 
0.4%
35.33330102 3
 
0.4%
35.22604005 2
 
0.3%
35.2971525 2
 
0.3%
Other values (698) 735
96.1%
ValueCountFrequency (%)
35.17498977 1
0.1%
35.18001102 1
0.1%
35.18569205 1
0.1%
35.18695653 1
0.1%
35.18714415 1
0.1%
35.18905484 1
0.1%
35.18992938 1
0.1%
35.19036487 1
0.1%
35.19093276 1
0.1%
35.19114387 1
0.1%
ValueCountFrequency (%)
35.38749475 1
0.1%
35.38748288 1
0.1%
35.38696631 1
0.1%
35.38625689 1
0.1%
35.38586081 1
0.1%
35.38373704 1
0.1%
35.37952264 1
0.1%
35.37920113 1
0.1%
35.3788835 2
0.3%
35.37655775 1
0.1%

경도
Real number (ℝ)

Distinct708
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.82525
Minimum128.71283
Maximum128.9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T09:35:58.817701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.71283
5-th percentile128.75948
Q1128.79313
median128.82481
Q3128.84383
95-th percentile128.91875
Maximum128.9999
Range0.2870708
Interquartile range (IQR)0.0507001

Descriptive statistics

Standard deviation0.047771787
Coefficient of variation (CV)0.00037082626
Kurtosis1.7760591
Mean128.82525
Median Absolute Deviation (MAD)0.0234469
Skewness0.92899492
Sum98551.319
Variance0.0022821436
MonotonicityNot monotonic
2023-12-11T09:35:58.976719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8279125 4
 
0.5%
128.7813025 4
 
0.5%
128.8482593 3
 
0.4%
128.8392583 3
 
0.4%
128.8290761 3
 
0.4%
128.8509968 3
 
0.4%
128.7658282 3
 
0.4%
128.7799555 3
 
0.4%
128.7863203 2
 
0.3%
128.8253229 2
 
0.3%
Other values (698) 735
96.1%
ValueCountFrequency (%)
128.7128271 1
0.1%
128.7131257 1
0.1%
128.7197236 1
0.1%
128.7228138 1
0.1%
128.7230425 1
0.1%
128.7242966 1
0.1%
128.7267612 1
0.1%
128.7307906 1
0.1%
128.731561 1
0.1%
128.7323409 1
0.1%
ValueCountFrequency (%)
128.9998979 1
0.1%
128.9978442 1
0.1%
128.9937711 1
0.1%
128.9914996 1
0.1%
128.9850352 1
0.1%
128.9826841 1
0.1%
128.9821433 1
0.1%
128.98086 1
0.1%
128.9803669 1
0.1%
128.9756699 1
0.1%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2022-08-11
765 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-11
2nd row2022-08-11
3rd row2022-08-11
4th row2022-08-11
5th row2022-08-11

Common Values

ValueCountFrequency (%)
2022-08-11 765
100.0%

Length

2023-12-11T09:35:59.121605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:35:59.205082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-11 765
100.0%

Interactions

2023-12-11T09:35:55.792949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.320911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.559261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.891207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.397733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.632633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.978449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.473753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:35:55.707192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:35:59.256787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육축종사육두수위도경도
사육축종1.0000.7180.2230.201
사육두수0.7181.0000.0000.000
위도0.2230.0001.0000.687
경도0.2010.0000.6871.000
2023-12-11T09:35:59.338341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도사육축종
사육두수1.0000.0180.0500.466
위도0.0181.000-0.0280.089
경도0.050-0.0281.0000.080
사육축종0.4660.0890.0801.000

Missing values

2023-12-11T09:35:56.111237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:35:56.231934image/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

시도명시군구명농장명사육축종농장소재지사육두수위도경도데이터기준
0경상남도김해시장 농장한우경상남도 김해시 생림면 사촌리 59번지 5호4535.311593128.8755742022-08-11
1경상남도김해시민정축산돼지경상남도 김해시 한림면 안하리 716번지 1호60035.306059128.8239342022-08-11
2경상남도김해시우룡농장한우경상남도 김해시 한림면 장방리 2277번지10035.324937128.7878892022-08-11
3경상남도김해시정가축산한우, 육우경상남도 김해시 무계동 2번지1035.198337128.8278082022-08-11
4경상남도김해시S&C농장한우경상남도 김해시 내덕동 68번지 0002호10035.199291128.828212022-08-11
5경상남도김해시김재윤 농장육계경상남도 김해시 진례면 담안리 39번지2000035.264999128.7809722022-08-11
6경상남도김해시영효축산한우경상남도 김해시 한림면 안곡리 422번지 1호14535.295952128.8427892022-08-11
7경상남도김해시김동건 농장육우경상남도 김해시 한림면 장방리 1063번지 1호7635.322903128.7822072022-08-11
8경상남도김해시대범농장한우경상남도 김해시 생림면 생철리 1491번지 3호12035.361829128.8392582022-08-11
9경상남도김해시여명농장한우경상남도 김해시 생림면 생철리 1491번지 5호13035.361829128.8392582022-08-11
시도명시군구명농장명사육축종농장소재지사육두수위도경도데이터기준
755경상남도김해시유진축산한우경상남도 김해시 한림면 용덕리 82번지2535.303968128.8166632022-08-11
756경상남도김해시청청농장한우경상남도 김해시 한림면 용덕리 814-2, 814-57035.301539128.827552022-08-11
757경상남도김해시삼민농장한우경상남도 김해시 한림면 안하리 2213번지10035.310308128.8227332022-08-11
758경상남도김해시정성우농장한우경상남도 김해시 한림면 장방리 1756번지 1호9035.327554128.7949062022-08-11
759경상남도김해시미리벌축산돼지경상남도 김해시 생림면 도요리 559번지200035.379523128.8534542022-08-11
760경상남도김해시영진축산한우경상남도 김해시 생림면 안양리 1266번지3635.367978128.8466062022-08-11
761경상남도김해시근선농장7한우경상남도 김해시 생림면 생림리 693번지 19호10035.320966128.8340242022-08-11
762경상남도김해시장지규농장한우경상남도 김해시 한림면 금곡리 388번지 3호1535.32484128.8109072022-08-11
763경상남도김해시조서방 농장한우경상남도 김해시 한림면 안하리 2179번지15035.313031128.8211222022-08-11
764경상남도김해시김성명농장2한우경상남도 김해시 생림면 생림리 964번지 18호2535.321261128.8248122022-08-11

Duplicate rows

Most frequently occurring

시도명시군구명농장명사육축종농장소재지사육두수위도경도데이터기준# duplicates
0경상남도김해시신진BHB종계/산란계경상남도 김해시 생림면 봉림리 940번지8000035.342277128.8509972022-08-112