Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells15
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory80.5 B

Variable types

Categorical2
Text3
Numeric3
DateTime1

Dataset

Description경기도 의정부시 관내 축산업 현황 데이터입니다. 시군명, 농장명, 축종, 사육두수, 소재지지번주소, 소재지도로명주소, 위도, 경도, 데이터기준일의 항목으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15021550/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일 has constant value ""Constant
농장명 has 7 (29.2%) missing valuesMissing
소재지도로명주소 has 8 (33.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:41:18.846967
Analysis finished2023-12-12 14:41:20.523978
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
의정부시
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부시 24
100.0%

Length

2023-12-12T23:41:20.603608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:41:20.697357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부시 24
100.0%

농장명
Text

MISSING 

Distinct11
Distinct (%)64.7%
Missing7
Missing (%)29.2%
Memory size324.0 B
2023-12-12T23:41:20.832962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.4705882
Min length3

Characters and Unicode

Total characters76
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)35.3%

Sample

1st row해림목장
2nd row전통목장
3rd row귀락목장
4th row춘삼월목장
5th row춘삼월목장
ValueCountFrequency (%)
신기농장 3
17.6%
춘삼월목장 2
11.8%
천보산한우농장 2
11.8%
신도휴 2
11.8%
원예농장 2
11.8%
해림목장 1
 
5.9%
전통목장 1
 
5.9%
귀락목장 1
 
5.9%
우리농원 1
 
5.9%
의정부교도소 1
 
5.9%
2023-12-12T23:41:21.135505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 12
 
15.8%
농 8
 
10.5%
신 5
 
6.6%
목 5
 
6.6%
기 3
 
3.9%
도 3
 
3.9%
우 3
 
3.9%
원 3
 
3.9%
천 2
 
2.6%
산 2
 
2.6%
Other values (21) 30
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 12
 
15.8%
농 8
 
10.5%
신 5
 
6.6%
목 5
 
6.6%
기 3
 
3.9%
도 3
 
3.9%
우 3
 
3.9%
원 3
 
3.9%
천 2
 
2.6%
산 2
 
2.6%
Other values (21) 30
39.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 12
 
15.8%
농 8
 
10.5%
신 5
 
6.6%
목 5
 
6.6%
기 3
 
3.9%
도 3
 
3.9%
우 3
 
3.9%
원 3
 
3.9%
천 2
 
2.6%
산 2
 
2.6%
Other values (21) 30
39.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 12
 
15.8%
농 8
 
10.5%
신 5
 
6.6%
목 5
 
6.6%
기 3
 
3.9%
도 3
 
3.9%
우 3
 
3.9%
원 3
 
3.9%
천 2
 
2.6%
산 2
 
2.6%
Other values (21) 30
39.5%

축종
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
닭
10 
소
6 
염소
6 
사슴
2 

Length

Max length2
Median length1
Mean length1.3333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소
2nd row소
3rd row소
4th row소
5th row염소

Common Values

ValueCountFrequency (%)
닭 10
41.7%
소 6
25.0%
염소 6
25.0%
사슴 2
 
8.3%

Length

2023-12-12T23:41:21.278689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:41:21.636508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
닭 10
41.7%
소 6
25.0%
염소 6
25.0%
사슴 2
 
8.3%

사육두수
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean897.25
Minimum2
Maximum21000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:41:21.747335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q19.25
median22
Q336.25
95-th percentile58.5
Maximum21000
Range20998
Interquartile range (IQR)27

Descriptive statistics

Standard deviation4281.9012
Coefficient of variation (CV)4.7722499
Kurtosis23.999148
Mean897.25
Median Absolute Deviation (MAD)14
Skewness4.8988544
Sum21534
Variance18334678
MonotonicityNot monotonic
2023-12-12T23:41:21.867026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
35 3
12.5%
2 3
12.5%
6 2
 
8.3%
50 2
 
8.3%
40 2
 
8.3%
25 1
 
4.2%
30 1
 
4.2%
17 1
 
4.2%
23 1
 
4.2%
11 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
2 3
12.5%
6 2
8.3%
7 1
 
4.2%
10 1
 
4.2%
11 1
 
4.2%
12 1
 
4.2%
15 1
 
4.2%
17 1
 
4.2%
21 1
 
4.2%
23 1
 
4.2%
ValueCountFrequency (%)
21000 1
 
4.2%
60 1
 
4.2%
50 2
8.3%
40 2
8.3%
35 3
12.5%
30 1
 
4.2%
25 1
 
4.2%
23 1
 
4.2%
21 1
 
4.2%
17 1
 
4.2%

소재지지번주소
Text

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T23:41:22.046062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length17.375
Min length15

Characters and Unicode

Total characters417
Distinct characters35
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

Unique12 ?
Unique (%)50.0%

Sample

1st row경기도 의정부시 산곡동 585
2nd row경기도 의정부시 녹양동 49-19
3rd row경기도 의정부시 자일동 65-7
4th row경기도 의정부시 가능동 428-6
5th row경기도 의정부시 가능동 428-6
ValueCountFrequency (%)
경기도 24
24.7%
의정부시 24
24.7%
자일동 8
 
8.2%
낙양동 4
 
4.1%
332-2 3
 
3.1%
가능동 3
 
3.1%
428-6 3
 
3.1%
고산동 3
 
3.1%
신곡동 2
 
2.1%
326 2
 
2.1%
Other values (19) 21
21.6%
2023-12-12T23:41:22.476198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
17.5%
경 24
 
5.8%
부 24
 
5.8%
동 24
 
5.8%
시 24
 
5.8%
기 24
 
5.8%
정 24
 
5.8%
의 24
 
5.8%
도 24
 
5.8%
2 21
 
5.0%
Other values (25) 131
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
57.8%
Decimal Number 86
 
20.6%
Space Separator 73
 
17.5%
Dash Punctuation 17
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 24
10.0%
부 24
10.0%
동 24
10.0%
시 24
10.0%
기 24
10.0%
정 24
10.0%
의 24
10.0%
도 24
10.0%
일 8
 
3.3%
자 8
 
3.3%
Other values (13) 33
13.7%
Decimal Number
ValueCountFrequency (%)
2 21
24.4%
3 17
19.8%
6 9
10.5%
9 8
 
9.3%
5 7
 
8.1%
4 7
 
8.1%
8 6
 
7.0%
7 4
 
4.7%
1 4
 
4.7%
0 3
 
3.5%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
57.8%
Common 176
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 24
10.0%
부 24
10.0%
동 24
10.0%
시 24
10.0%
기 24
10.0%
정 24
10.0%
의 24
10.0%
도 24
10.0%
일 8
 
3.3%
자 8
 
3.3%
Other values (13) 33
13.7%
Common
ValueCountFrequency (%)
73
41.5%
2 21
 
11.9%
3 17
 
9.7%
- 17
 
9.7%
6 9
 
5.1%
9 8
 
4.5%
5 7
 
4.0%
4 7
 
4.0%
8 6
 
3.4%
7 4
 
2.3%
Other values (2) 7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
57.8%
ASCII 176
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
41.5%
2 21
 
11.9%
3 17
 
9.7%
- 17
 
9.7%
6 9
 
5.1%
9 8
 
4.5%
5 7
 
4.0%
4 7
 
4.0%
8 6
 
3.4%
7 4
 
2.3%
Other values (2) 7
 
4.0%
Hangul
ValueCountFrequency (%)
경 24
10.0%
부 24
10.0%
동 24
10.0%
시 24
10.0%
기 24
10.0%
정 24
10.0%
의 24
10.0%
도 24
10.0%
일 8
 
3.3%
자 8
 
3.3%
Other values (13) 33
13.7%

소재지도로명주소
Text

MISSING 

Distinct11
Distinct (%)68.8%
Missing8
Missing (%)33.3%
Memory size324.0 B
2023-12-12T23:41:22.700727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26.5
Mean length24.875
Min length19

Characters and Unicode

Total characters398
Distinct characters46
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

Unique7 ?
Unique (%)43.8%

Sample

1st row경기도 의정부시 송산로915번길 61 (산곡동)
2nd row경기도 의정부시 녹양로125번길 6 (녹양동)
3rd row경기도 의정부시 민락로560번길 36-24 (자일동)
4th row경기도 의정부시 입석로81번길 3-20 (가능동)
5th row경기도 의정부시 입석로81번길 3-20 (가능동)
ValueCountFrequency (%)
경기도 16
20.5%
의정부시 16
20.5%
고산동 3
 
3.8%
민락로 3
 
3.8%
437 3
 
3.8%
낙양동 3
 
3.8%
자일동 3
 
3.8%
민락로560번길 2
 
2.6%
82 2
 
2.6%
호국로1718번길 2
 
2.6%
Other values (20) 25
32.1%
2023-12-12T23:41:23.003899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
15.6%
시 17
 
4.3%
경 16
 
4.0%
도 16
 
4.0%
의 16
 
4.0%
정 16
 
4.0%
부 16
 
4.0%
기 16
 
4.0%
로 16
 
4.0%
1 16
 
4.0%
Other values (36) 191
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
55.8%
Decimal Number 79
 
19.8%
Space Separator 62
 
15.6%
Open Punctuation 14
 
3.5%
Close Punctuation 14
 
3.5%
Dash Punctuation 7
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 17
 
7.7%
경 16
 
7.2%
도 16
 
7.2%
의 16
 
7.2%
정 16
 
7.2%
부 16
 
7.2%
기 16
 
7.2%
로 16
 
7.2%
동 14
 
6.3%
길 10
 
4.5%
Other values (22) 69
31.1%
Decimal Number
ValueCountFrequency (%)
1 16
20.3%
2 9
11.4%
6 9
11.4%
5 9
11.4%
7 8
10.1%
3 8
10.1%
8 7
8.9%
4 6
 
7.6%
0 5
 
6.3%
9 2
 
2.5%
Space Separator
ValueCountFrequency (%)
62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
55.8%
Common 176
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 17
 
7.7%
경 16
 
7.2%
도 16
 
7.2%
의 16
 
7.2%
정 16
 
7.2%
부 16
 
7.2%
기 16
 
7.2%
로 16
 
7.2%
동 14
 
6.3%
길 10
 
4.5%
Other values (22) 69
31.1%
Common
ValueCountFrequency (%)
62
35.2%
1 16
 
9.1%
( 14
 
8.0%
) 14
 
8.0%
2 9
 
5.1%
6 9
 
5.1%
5 9
 
5.1%
7 8
 
4.5%
3 8
 
4.5%
8 7
 
4.0%
Other values (4) 20
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
55.8%
ASCII 176
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
35.2%
1 16
 
9.1%
( 14
 
8.0%
) 14
 
8.0%
2 9
 
5.1%
6 9
 
5.1%
5 9
 
5.1%
7 8
 
4.5%
3 8
 
4.5%
8 7
 
4.0%
Other values (4) 20
 
11.4%
Hangul
ValueCountFrequency (%)
시 17
 
7.7%
경 16
 
7.2%
도 16
 
7.2%
의 16
 
7.2%
정 16
 
7.2%
부 16
 
7.2%
기 16
 
7.2%
로 16
 
7.2%
동 14
 
6.3%
길 10
 
4.5%
Other values (22) 69
31.1%

위도
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.750864
Minimum37.711525
Maximum37.770285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:41:23.124367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.711525
5-th percentile37.726311
Q137.733179
median37.75931
Q337.76017
95-th percentile37.769871
Maximum37.770285
Range0.05876033
Interquartile range (IQR)0.02699146

Descriptive statistics

Standard deviation0.016329829
Coefficient of variation (CV)0.00043256835
Kurtosis-0.20763228
Mean37.750864
Median Absolute Deviation (MAD)0.00477668
Skewness-0.94439212
Sum906.02074
Variance0.00026666331
MonotonicityNot monotonic
2023-12-12T23:41:23.273354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
37.75453287 3
12.5%
37.76017007 3
12.5%
37.7599092 2
 
8.3%
37.75971958 2
 
8.3%
37.73317861 2
 
8.3%
37.77028538 1
 
4.2%
37.76131001 1
 
4.2%
37.75889952 1
 
4.2%
37.727083 1
 
4.2%
37.732555 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
37.71152505 1
 
4.2%
37.72617517 1
 
4.2%
37.727083 1
 
4.2%
37.72982971 1
 
4.2%
37.732555 1
 
4.2%
37.73317861 2
8.3%
37.75188586 1
 
4.2%
37.75453287 3
12.5%
37.75889952 1
 
4.2%
37.75971958 2
8.3%
ValueCountFrequency (%)
37.77028538 1
 
4.2%
37.76994898 1
 
4.2%
37.7694259 1
 
4.2%
37.76209138 1
 
4.2%
37.76131001 1
 
4.2%
37.76017007 3
12.5%
37.7599092 2
8.3%
37.75971958 2
8.3%
37.75889952 1
 
4.2%
37.75453287 3
12.5%

경도
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08465
Minimum127.01765
Maximum127.12605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:41:23.404082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01765
5-th percentile127.01765
Q1127.06859
median127.09212
Q3127.11168
95-th percentile127.11775
Maximum127.12605
Range0.1084073
Interquartile range (IQR)0.04309375

Descriptive statistics

Standard deviation0.03370318
Coefficient of variation (CV)0.0002652026
Kurtosis-0.084967656
Mean127.08465
Median Absolute Deviation (MAD)0.0195595
Skewness-1.0060225
Sum3050.0317
Variance0.0011359044
MonotonicityNot monotonic
2023-12-12T23:41:23.535595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
127.0176472 3
12.5%
127.111682 3
12.5%
127.0914424 2
 
8.3%
127.0923701 2
 
8.3%
127.1045023 2
 
8.3%
127.1170172 1
 
4.2%
127.0918749 1
 
4.2%
127.1260545 1
 
4.2%
127.070366 1
 
4.2%
127.063255 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
127.0176472 3
12.5%
127.0339577 1
 
4.2%
127.0549867 1
 
4.2%
127.063255 1
 
4.2%
127.070366 1
 
4.2%
127.081413 1
 
4.2%
127.0904615 1
 
4.2%
127.0914424 2
8.3%
127.0918749 1
 
4.2%
127.0923701 2
8.3%
ValueCountFrequency (%)
127.1260545 1
 
4.2%
127.1177588 1
 
4.2%
127.1176896 1
 
4.2%
127.1170172 1
 
4.2%
127.111682 3
12.5%
127.1045023 2
8.3%
127.1022045 1
 
4.2%
127.0923701 2
8.3%
127.0918749 1
 
4.2%
127.0914424 2
8.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-12T23:41:23.636958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:23.745613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:41:19.909999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:19.252347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:19.620276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:19.985415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:19.366130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:19.729056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:20.086515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:19.503608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:19.825739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:41:23.820185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농장명축종사육두수소재지지번주소소재지도로명주소위도경도
농장명1.0000.0001.0001.0001.0001.0001.000
축종0.0001.0000.0000.0000.0000.1480.000
사육두수1.0000.0001.0001.0001.0000.5140.000
소재지지번주소1.0000.0001.0001.0001.0001.0001.000
소재지도로명주소1.0000.0001.0001.0001.0001.0001.000
위도1.0000.1480.5141.0001.0001.0000.901
경도1.0000.0000.0001.0001.0000.9011.000
2023-12-12T23:41:23.949991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도축종
사육두수1.0000.0700.2210.000
위도0.0701.0000.4580.000
경도0.2210.4581.0000.000
축종0.0000.0000.0001.000

Missing values

2023-12-12T23:41:20.211286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:41:20.350788image/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.
2023-12-12T23:41:20.466114image/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

시군명농장명축종사육두수소재지지번주소소재지도로명주소위도경도데이터기준일
0의정부시해림목장소6경기도 의정부시 산곡동 585경기도 의정부시 송산로915번길 61 (산곡동)37.711525127.1022042023-01-01
1의정부시전통목장소2경기도 의정부시 녹양동 49-19경기도 의정부시 녹양로125번길 6 (녹양동)37.762091127.0339582023-01-01
2의정부시귀락목장소21경기도 의정부시 자일동 65-7경기도 의정부시 민락로560번길 36-24 (자일동)37.769426127.1177592023-01-01
3의정부시춘삼월목장소2경기도 의정부시 가능동 428-6경기도 의정부시 입석로81번길 3-20 (가능동)37.754533127.0176472023-01-01
4의정부시춘삼월목장염소7경기도 의정부시 가능동 428-6경기도 의정부시 입석로81번길 3-20 (가능동)37.754533127.0176472023-01-01
5의정부시우리농원염소60경기도 의정부시 금오동 423-6경기도 의정부시 천보로 558-1 (금오동)37.751886127.0549872023-01-01
6의정부시천보산한우농장소12경기도 의정부시 자일동 239<NA>37.75972127.092372023-01-01
7의정부시천보산한우농장닭35경기도 의정부시 자일동 239<NA>37.75972127.092372023-01-01
8의정부시신도휴소10경기도 의정부시 고산동 420-3경기도 의정부시 고산로125번길 67 (고산동)37.733179127.1045022023-01-01
9의정부시신도휴닭15경기도 의정부시 고산동 420-3경기도 의정부시 고산로125번길 67 (고산동)37.733179127.1045022023-01-01
시군명농장명축종사육두수소재지지번주소소재지도로명주소위도경도데이터기준일
14의정부시원예농장사슴2경기도 의정부시 자일동 326경기도 의정부시 호국로1718번길 82 (자일동)37.759909127.0914422023-01-01
15의정부시원예농장염소11경기도 의정부시 자일동 326경기도 의정부시 호국로1718번길 82 (자일동)37.759909127.0914422023-01-01
16의정부시귀락가든닭40경기도 의정부시 자일동 62-9경기도 의정부시 민락로560번길 36-1637.769949127.117692023-01-01
17의정부시<NA>닭35경기도 의정부시 자일동 61-13<NA>37.770285127.1170172023-01-01
18의정부시<NA>닭23경기도 의정부시 용현동 205-5경기도 의정부시 시민로 454-7237.72983127.0814132023-01-01
19의정부시<NA>닭17경기도 의정부시 신곡동 산 53-9<NA>37.732555127.0632552023-01-01
20의정부시<NA>닭30경기도 의정부시 신곡동 237-18<NA>37.727083127.0703662023-01-01
21의정부시<NA>닭25경기도 의정부시 낙양동 79<NA>37.7589127.1260542023-01-01
22의정부시<NA>염소35경기도 의정부시 가능동 428-6<NA>37.754533127.0176472023-01-01
23의정부시<NA>염소40경기도 의정부시 자일동 237<NA>37.76131127.0918752023-01-01