Overview

Dataset statistics

Number of variables19
Number of observations10000
Missing cells78854
Missing cells (%)41.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory167.0 B

Variable types

Categorical6
Text6
DateTime2
Unsupported2
Numeric3

Alerts

축산업무구분명 has constant value ""Constant
권리주체일련번호 is highly overall correlated with 소재지면적정보High correlation
영업상태구분코드 is highly overall correlated with 영업상태명 and 1 other fieldsHigh correlation
소재지면적정보 is highly overall correlated with X좌표값 and 6 other fieldsHigh correlation
영업상태명 is highly overall correlated with 영업상태구분코드 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with X좌표값 and 2 other fieldsHigh correlation
X좌표값 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
Y좌표값 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
축산고유번호 is highly overall correlated with 소재지면적정보High correlation
영업상태구분코드 is highly imbalanced (79.2%)Imbalance
소재지면적정보 is highly imbalanced (71.8%)Imbalance
권리주체일련번호 is highly imbalanced (75.2%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 7158 (71.6%) missing valuesMissing
소재지시설전화번호 has 9850 (98.5%) missing valuesMissing
소재지우편번호 has 588 (5.9%) missing valuesMissing
소재지도로명주소 has 3736 (37.4%) missing valuesMissing
도로명우편번호 has 9632 (96.3%) missing valuesMissing
업태구분명정보 has 10000 (100.0%) missing valuesMissing
X좌표값 has 9291 (92.9%) missing valuesMissing
Y좌표값 has 9291 (92.9%) missing valuesMissing
축산고유번호 has 9262 (92.6%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:23:18.024523
Analysis finished2023-12-10 22:23:21.195040
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안성시
1445 
화성시
1165 
여주시
732 
포천시
709 
파주시
704 
Other values (26)
5245 

Length

Max length4
Median length3
Mean length3.042
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안성시
2nd row여주시
3rd row포천시
4th row이천시
5th row안성시

Common Values

ValueCountFrequency (%)
안성시 1445
14.4%
화성시 1165
11.7%
여주시 732
 
7.3%
포천시 709
 
7.1%
파주시 704
 
7.0%
이천시 678
 
6.8%
평택시 607
 
6.1%
양주시 554
 
5.5%
연천군 553
 
5.5%
양평군 535
 
5.3%
Other values (21) 2318
23.2%

Length

2023-12-11T07:23:21.252366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안성시 1445
14.4%
화성시 1165
11.7%
여주시 732
 
7.3%
포천시 709
 
7.1%
파주시 704
 
7.0%
이천시 678
 
6.8%
평택시 607
 
6.1%
양주시 554
 
5.5%
연천군 553
 
5.5%
양평군 535
 
5.3%
Other values (21) 2318
23.2%

사업장명
Text

Distinct7127
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:23:21.532435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length4.3207
Min length1

Characters and Unicode

Total characters43207
Distinct characters665
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5686 ?
Unique (%)56.9%

Sample

1st row시영농장
2nd row귀백농장
3rd row소망농장
4th row육계 대일농장
5th row주주농축산
ValueCountFrequency (%)
농장 109
 
1.1%
목장 82
 
0.8%
79
 
0.8%
대성농장 40
 
0.4%
우리농장 35
 
0.3%
형제농장 31
 
0.3%
농업회사법인 26
 
0.3%
제일농장 23
 
0.2%
우리목장 18
 
0.2%
푸른농장 17
 
0.2%
Other values (7175) 9893
95.6%
2023-12-11T07:23:21.924605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 9155
21.2%
농 5415
 
12.5%
목 3891
 
9.0%
성 672
 
1.6%
산 600
 
1.4%
원 551
 
1.3%
우 521
 
1.2%
영 463
 
1.1%
대 449
 
1.0%
진 379
 
0.9%
Other values (655) 21111
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42107
97.5%
Space Separator 357
 
0.8%
Decimal Number 304
 
0.7%
Open Punctuation 107
 
0.2%
Close Punctuation 107
 
0.2%
Dash Punctuation 82
 
0.2%
Uppercase Letter 79
 
0.2%
Lowercase Letter 51
 
0.1%
Other Punctuation 7
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 9155
21.7%
농 5415
 
12.9%
목 3891
 
9.2%
성 672
 
1.6%
산 600
 
1.4%
원 551
 
1.3%
우 521
 
1.2%
영 463
 
1.1%
대 449
 
1.1%
진 379
 
0.9%
Other values (600) 20011
47.5%
Uppercase Letter
ValueCountFrequency (%)
K 14
17.7%
J 10
12.7%
C 7
 
8.9%
D 6
 
7.6%
O 6
 
7.6%
L 4
 
5.1%
H 4
 
5.1%
M 4
 
5.1%
E 3
 
3.8%
Z 3
 
3.8%
Other values (9) 18
22.8%
Lowercase Letter
ValueCountFrequency (%)
a 10
19.6%
e 8
15.7%
n 7
13.7%
r 4
 
7.8%
c 3
 
5.9%
d 3
 
5.9%
m 3
 
5.9%
h 2
 
3.9%
l 2
 
3.9%
v 2
 
3.9%
Other values (5) 7
13.7%
Decimal Number
ValueCountFrequency (%)
2 188
61.8%
1 77
25.3%
3 12
 
3.9%
0 9
 
3.0%
4 6
 
2.0%
5 4
 
1.3%
7 3
 
1.0%
9 3
 
1.0%
8 1
 
0.3%
6 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
& 2
28.6%
? 1
 
14.3%
Space Separator
ValueCountFrequency (%)
355
99.4%
　 2
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42105
97.4%
Common 965
 
2.2%
Latin 135
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 9155
21.7%
농 5415
 
12.9%
목 3891
 
9.2%
성 672
 
1.6%
산 600
 
1.4%
원 551
 
1.3%
우 521
 
1.2%
영 463
 
1.1%
대 449
 
1.1%
진 379
 
0.9%
Other values (598) 20009
47.5%
Latin
ValueCountFrequency (%)
K 14
 
10.4%
a 10
 
7.4%
J 10
 
7.4%
e 8
 
5.9%
n 7
 
5.2%
C 7
 
5.2%
D 6
 
4.4%
O 6
 
4.4%
Ⅱ 4
 
3.0%
L 4
 
3.0%
Other values (26) 59
43.7%
Common
ValueCountFrequency (%)
355
36.8%
2 188
19.5%
( 107
 
11.1%
) 107
 
11.1%
- 82
 
8.5%
1 77
 
8.0%
3 12
 
1.2%
0 9
 
0.9%
4 6
 
0.6%
5 4
 
0.4%
Other values (9) 18
 
1.9%
Han
ValueCountFrequency (%)
勇 1
50.0%
擇 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42105
97.4%
ASCII 1093
 
2.5%
Number Forms 5
 
< 0.1%
None 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 9155
21.7%
농 5415
 
12.9%
목 3891
 
9.2%
성 672
 
1.6%
산 600
 
1.4%
원 551
 
1.3%
우 521
 
1.2%
영 463
 
1.1%
대 449
 
1.1%
진 379
 
0.9%
Other values (598) 20009
47.5%
ASCII
ValueCountFrequency (%)
355
32.5%
2 188
17.2%
( 107
 
9.8%
) 107
 
9.8%
- 82
 
7.5%
1 77
 
7.0%
K 14
 
1.3%
3 12
 
1.1%
a 10
 
0.9%
J 10
 
0.9%
Other values (42) 131
 
12.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
None
ValueCountFrequency (%)
　 2
100.0%
CJK
ValueCountFrequency (%)
勇 1
50.0%
擇 1
50.0%

인허가일자
Date

Distinct2431
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2004-03-10 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T07:23:22.048788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:22.166960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9262 
0
 
501
2
 
119
4
 
68
1
 
50

Length

Max length4
Median length4
Mean length3.7786
Min length1

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> 9262
92.6%
0 501
 
5.0%
2 119
 
1.2%
4 68
 
0.7%
1 50
 
0.5%

Length

2023-12-11T07:23:22.316276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:22.429169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9262
92.6%
0 501
 
5.0%
2 119
 
1.2%
4 68
 
0.7%
1 50
 
0.5%

영업상태명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
운영중
6321 
폐업 등
2721 
정상
 
501
휴업 등
 
220
폐업
 
119
Other values (2)
 
118

Length

Max length4
Median length3
Mean length3.2203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row폐업 등
3rd row폐업 등
4th row폐업 등
5th row폐업 등

Common Values

ValueCountFrequency (%)
운영중 6321
63.2%
폐업 등 2721
27.2%
정상 501
 
5.0%
휴업 등 220
 
2.2%
폐업 119
 
1.2%
말소 68
 
0.7%
휴업 50
 
0.5%

Length

2023-12-11T07:23:22.533669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:22.650183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 6321
48.8%
등 2941
22.7%
폐업 2840
21.9%
정상 501
 
3.9%
휴업 270
 
2.1%
말소 68
 
0.5%

폐업일자
Date

MISSING 

Distinct1557
Distinct (%)54.8%
Missing7158
Missing (%)71.6%
Memory size156.2 KiB
Minimum2005-01-14 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:23:22.769851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:22.881759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct149
Distinct (%)99.3%
Missing9850
Missing (%)98.5%
Memory size156.2 KiB
2023-12-11T07:23:23.292963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.593333
Min length8

Characters and Unicode

Total characters1589
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

Unique148 ?
Unique (%)98.7%

Sample

1st row031-879-2349
2nd row031-876-5484
3rd row031-883-6290
4th row636-7696
5th row574-6212
ValueCountFrequency (%)
031-573-8964 2
 
1.3%
572-1627 1
 
0.7%
031-879-4118 1
 
0.7%
282-6230 1
 
0.7%
653-2033 1
 
0.7%
032-328-6467 1
 
0.7%
031-886-9801 1
 
0.7%
031-296-5530 1
 
0.7%
031-658-1172 1
 
0.7%
676-8862 1
 
0.7%
Other values (139) 139
92.7%
2023-12-11T07:23:23.623899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 248
15.6%
- 247
15.5%
1 174
11.0%
8 159
10.0%
0 150
9.4%
6 125
7.9%
5 118
7.4%
7 113
7.1%
2 98
 
6.2%
4 81
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1342
84.5%
Dash Punctuation 247
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 248
18.5%
1 174
13.0%
8 159
11.8%
0 150
11.2%
6 125
9.3%
5 118
8.8%
7 113
8.4%
2 98
 
7.3%
4 81
 
6.0%
9 76
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1589
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 248
15.6%
- 247
15.5%
1 174
11.0%
8 159
10.0%
0 150
9.4%
6 125
7.9%
5 118
7.4%
7 113
7.1%
2 98
 
6.2%
4 81
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1589
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 248
15.6%
- 247
15.5%
1 174
11.0%
8 159
10.0%
0 150
9.4%
6 125
7.9%
5 118
7.4%
7 113
7.1%
2 98
 
6.2%
4 81
 
5.1%

소재지면적정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9510 
0
 
490

Length

Max length4
Median length4
Mean length3.853
Min length1

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> 9510
95.1%
0 490
 
4.9%

Length

2023-12-11T07:23:23.754739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:23.832665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9510
95.1%
0 490
 
4.9%

소재지우편번호
Text

MISSING 

Distinct1191
Distinct (%)12.7%
Missing588
Missing (%)5.9%
Memory size156.2 KiB
2023-12-11T07:23:24.141309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0524862
Min length5

Characters and Unicode

Total characters56966
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

Unique396 ?
Unique (%)4.2%

Sample

1st row456881
2nd row469822
3rd row487881
4th row467851
5th row456914
ValueCountFrequency (%)
456914 84
 
0.9%
456842 68
 
0.7%
486860 67
 
0.7%
486881 66
 
0.7%
456912 63
 
0.7%
456873 61
 
0.6%
476891 59
 
0.6%
487921 58
 
0.6%
482862 57
 
0.6%
449864 54
 
0.6%
Other values (1181) 8775
93.2%
2023-12-11T07:23:24.648739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 12981
22.8%
8 9452
16.6%
1 5794
10.2%
6 5153
 
9.0%
5 4923
 
8.6%
2 4521
 
7.9%
7 4024
 
7.1%
3 3694
 
6.5%
9 3538
 
6.2%
0 2385
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56465
99.1%
Dash Punctuation 501
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 12981
23.0%
8 9452
16.7%
1 5794
10.3%
6 5153
 
9.1%
5 4923
 
8.7%
2 4521
 
8.0%
7 4024
 
7.1%
3 3694
 
6.5%
9 3538
 
6.3%
0 2385
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 501
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56966
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 12981
22.8%
8 9452
16.6%
1 5794
10.2%
6 5153
 
9.0%
5 4923
 
8.6%
2 4521
 
7.9%
7 4024
 
7.1%
3 3694
 
6.5%
9 3538
 
6.2%
0 2385
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 12981
22.8%
8 9452
16.6%
1 5794
10.2%
6 5153
 
9.0%
5 4923
 
8.6%
2 4521
 
7.9%
7 4024
 
7.1%
3 3694
 
6.5%
9 3538
 
6.2%
0 2385
 
4.2%

소재지도로명주소
Text

MISSING 

Distinct4119
Distinct (%)65.8%
Missing3736
Missing (%)37.4%
Memory size156.2 KiB
2023-12-11T07:23:24.939261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length23.441252
Min length10

Characters and Unicode

Total characters146836
Distinct characters425
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2930 ?
Unique (%)46.8%

Sample

1st row경기도 안성시 삼죽면 국사봉로 ***-**
2nd row경기도 여주시 흥천면 귀백*길 *-**
3rd row경기도 포천시 영중면 금화봉*길 ***
4th row경기도 이천시 대월면 대장로 ***-**
5th row경기도 안성시 일죽면 선유동길 **-**
ValueCountFrequency (%)
6366
19.6%
경기도 6263
19.3%
안성시 1147
 
3.5%
포천시 580
 
1.8%
여주시 575
 
1.8%
화성시 511
 
1.6%
이천시 483
 
1.5%
평택시 465
 
1.4%
양주시 385
 
1.2%
연천군 336
 
1.0%
Other values (2575) 15299
47.2%
2023-12-11T07:23:25.393247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 29646
20.2%
26154
17.8%
도 6519
 
4.4%
기 6328
 
4.3%
경 6324
 
4.3%
시 5639
 
3.8%
면 4366
 
3.0%
길 4360
 
3.0%
로 3879
 
2.6%
- 3640
 
2.5%
Other values (415) 49981
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84886
57.8%
Other Punctuation 29902
 
20.4%
Space Separator 26154
 
17.8%
Dash Punctuation 3640
 
2.5%
Close Punctuation 1126
 
0.8%
Open Punctuation 1124
 
0.8%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6519
 
7.7%
기 6328
 
7.5%
경 6324
 
7.4%
시 5639
 
6.6%
면 4366
 
5.1%
길 4360
 
5.1%
로 3879
 
4.6%
성 2286
 
2.7%
번 1964
 
2.3%
천 1872
 
2.2%
Other values (404) 41349
48.7%
Other Punctuation
ValueCountFrequency (%)
* 29646
99.1%
, 240
 
0.8%
. 9
 
< 0.1%
: 7
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
E 1
25.0%
Q 1
25.0%
Space Separator
ValueCountFrequency (%)
26154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3640
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84886
57.8%
Common 61946
42.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6519
 
7.7%
기 6328
 
7.5%
경 6324
 
7.4%
시 5639
 
6.6%
면 4366
 
5.1%
길 4360
 
5.1%
로 3879
 
4.6%
성 2286
 
2.7%
번 1964
 
2.3%
천 1872
 
2.2%
Other values (404) 41349
48.7%
Common
ValueCountFrequency (%)
* 29646
47.9%
26154
42.2%
- 3640
 
5.9%
) 1126
 
1.8%
( 1124
 
1.8%
, 240
 
0.4%
. 9
 
< 0.1%
: 7
 
< 0.1%
Latin
ValueCountFrequency (%)
B 2
50.0%
E 1
25.0%
Q 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84886
57.8%
ASCII 61950
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 29646
47.9%
26154
42.2%
- 3640
 
5.9%
) 1126
 
1.8%
( 1124
 
1.8%
, 240
 
0.4%
. 9
 
< 0.1%
: 7
 
< 0.1%
B 2
 
< 0.1%
E 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
도 6519
 
7.7%
기 6328
 
7.5%
경 6324
 
7.4%
시 5639
 
6.6%
면 4366
 
5.1%
길 4360
 
5.1%
로 3879
 
4.6%
성 2286
 
2.7%
번 1964
 
2.3%
천 1872
 
2.2%
Other values (404) 41349
48.7%

소재지지번주소
Text

Distinct5355
Distinct (%)53.8%
Missing46
Missing (%)0.5%
Memory size156.2 KiB
2023-12-11T07:23:25.911509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length74
Mean length22.820273
Min length10

Characters and Unicode

Total characters227153
Distinct characters314
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

Unique3509 ?
Unique (%)35.3%

Sample

1st row경기도 안성시 삼죽면 기솔리 ***-*번지
2nd row경기도 여주시 흥천면 귀백리 ***번지
3rd row경기도 포천시 영중면 거사리 ***-*번지
4th row경기도 이천시 대월면 구시리 **번지
5th row경기도 안성시 일죽면 신흥리 ***-*번지 외 *필지
ValueCountFrequency (%)
경기도 9954
 
19.4%
번지 8971
 
17.5%
안성시 1442
 
2.8%
1390
 
2.7%
화성시 1163
 
2.3%
여주시 731
 
1.4%
포천시 706
 
1.4%
파주시 704
 
1.4%
이천시 678
 
1.3%
평택시 604
 
1.2%
Other values (1556) 24928
48.6%
2023-12-11T07:23:26.462662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42065
18.5%
* 38463
16.9%
도 10440
 
4.6%
지 10079
 
4.4%
기 10018
 
4.4%
경 9977
 
4.4%
번 9007
 
4.0%
리 8780
 
3.9%
시 8722
 
3.8%
면 6724
 
3.0%
Other values (304) 72878
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139039
61.2%
Space Separator 42065
 
18.5%
Other Punctuation 39177
 
17.2%
Dash Punctuation 6347
 
2.8%
Close Punctuation 260
 
0.1%
Open Punctuation 259
 
0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10440
 
7.5%
지 10079
 
7.2%
기 10018
 
7.2%
경 9977
 
7.2%
번 9007
 
6.5%
리 8780
 
6.3%
시 8722
 
6.3%
면 6724
 
4.8%
성 3389
 
2.4%
양 2682
 
1.9%
Other values (293) 59221
42.6%
Other Punctuation
ValueCountFrequency (%)
* 38463
98.2%
, 686
 
1.8%
. 28
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
Q 1
25.0%
E 1
25.0%
Space Separator
ValueCountFrequency (%)
42065
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6347
100.0%
Close Punctuation
ValueCountFrequency (%)
) 260
100.0%
Open Punctuation
ValueCountFrequency (%)
( 259
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139039
61.2%
Common 88110
38.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10440
 
7.5%
지 10079
 
7.2%
기 10018
 
7.2%
경 9977
 
7.2%
번 9007
 
6.5%
리 8780
 
6.3%
시 8722
 
6.3%
면 6724
 
4.8%
성 3389
 
2.4%
양 2682
 
1.9%
Other values (293) 59221
42.6%
Common
ValueCountFrequency (%)
42065
47.7%
* 38463
43.7%
- 6347
 
7.2%
, 686
 
0.8%
) 260
 
0.3%
( 259
 
0.3%
. 28
 
< 0.1%
~ 2
 
< 0.1%
Latin
ValueCountFrequency (%)
B 2
50.0%
Q 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139039
61.2%
ASCII 88114
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42065
47.7%
* 38463
43.7%
- 6347
 
7.2%
, 686
 
0.8%
) 260
 
0.3%
( 259
 
0.3%
. 28
 
< 0.1%
~ 2
 
< 0.1%
B 2
 
< 0.1%
Q 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
도 10440
 
7.5%
지 10079
 
7.2%
기 10018
 
7.2%
경 9977
 
7.2%
번 9007
 
6.5%
리 8780
 
6.3%
시 8722
 
6.3%
면 6724
 
4.8%
성 3389
 
2.4%
양 2682
 
1.9%
Other values (293) 59221
42.6%

도로명우편번호
Text

MISSING 

Distinct229
Distinct (%)62.2%
Missing9632
Missing (%)96.3%
Memory size156.2 KiB
2023-12-11T07:23:26.839143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0217391
Min length5

Characters and Unicode

Total characters1848
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

Unique160 ?
Unique (%)43.5%

Sample

1st row11516
2nd row15207
3rd row18586
4th row11523
5th row11767
ValueCountFrequency (%)
10804 16
 
4.3%
10801 14
 
3.8%
11426 8
 
2.2%
15207 6
 
1.6%
12611 6
 
1.6%
15301 5
 
1.4%
12606 5
 
1.4%
12660 5
 
1.4%
15646 4
 
1.1%
18586 4
 
1.1%
Other values (219) 295
80.2%
2023-12-11T07:23:27.369367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 582
31.5%
0 232
 
12.6%
5 176
 
9.5%
2 166
 
9.0%
7 155
 
8.4%
8 154
 
8.3%
4 132
 
7.1%
6 129
 
7.0%
3 71
 
3.8%
9 47
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1844
99.8%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 582
31.6%
0 232
 
12.6%
5 176
 
9.5%
2 166
 
9.0%
7 155
 
8.4%
8 154
 
8.4%
4 132
 
7.2%
6 129
 
7.0%
3 71
 
3.9%
9 47
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1848
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 582
31.5%
0 232
 
12.6%
5 176
 
9.5%
2 166
 
9.0%
7 155
 
8.4%
8 154
 
8.3%
4 132
 
7.1%
6 129
 
7.0%
3 71
 
3.8%
9 47
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 582
31.5%
0 232
 
12.6%
5 176
 
9.5%
2 166
 
9.0%
7 155
 
8.4%
8 154
 
8.3%
4 132
 
7.1%
6 129
 
7.0%
3 71
 
3.8%
9 47
 
2.5%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

X좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct701
Distinct (%)98.9%
Missing9291
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean215254.45
Minimum160735.78
Maximum268691.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:27.522946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160735.78
5-th percentile177129.86
Q1191431.13
median216261.86
Q3241251.98
95-th percentile256680.52
Maximum268691.88
Range107956.1
Interquartile range (IQR)49820.85

Descriptive statistics

Standard deviation26344.673
Coefficient of variation (CV)0.12238852
Kurtosis-1.1662176
Mean215254.45
Median Absolute Deviation (MAD)24953.088
Skewness0.095609149
Sum1.526154 × 108
Variance6.9404181 × 108
MonotonicityNot monotonic
2023-12-11T07:23:27.674211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161928.466263162 3
 
< 0.1%
183404.220223471 2
 
< 0.1%
198267.040533221 2
 
< 0.1%
188703.656468924 2
 
< 0.1%
206220.449556907 2
 
< 0.1%
220495.692822551 2
 
< 0.1%
217817.33619147 2
 
< 0.1%
260686.132475466 1
 
< 0.1%
245756.920137622 1
 
< 0.1%
190630.285517224 1
 
< 0.1%
Other values (691) 691
 
6.9%
(Missing) 9291
92.9%
ValueCountFrequency (%)
160735.780267666 1
 
< 0.1%
160781.11578672 1
 
< 0.1%
161826.343134492 1
 
< 0.1%
161857.12604014 1
 
< 0.1%
161928.466263162 3
< 0.1%
162211.97736495 1
 
< 0.1%
163231.04682882 1
 
< 0.1%
163985.544020445 1
 
< 0.1%
164616.750361457 1
 
< 0.1%
167888.185299043 1
 
< 0.1%
ValueCountFrequency (%)
268691.876196009 1
< 0.1%
268170.872888346 1
< 0.1%
265822.441159179 1
< 0.1%
264812.151801972 1
< 0.1%
264761.113348479 1
< 0.1%
264478.334926137 1
< 0.1%
263634.128974661 1
< 0.1%
263504.580744767 1
< 0.1%
262562.168711083 1
< 0.1%
261857.968023665 1
< 0.1%

Y좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct701
Distinct (%)98.9%
Missing9291
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean438977.79
Minimum381466.2
Maximum520610.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:27.806663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381466.2
5-th percentile388544.86
Q1401669.07
median428612.24
Q3479248.53
95-th percentile499695.17
Maximum520610.26
Range139144.06
Interquartile range (IQR)77579.451

Descriptive statistics

Standard deviation39478.336
Coefficient of variation (CV)0.089932423
Kurtosis-1.4003525
Mean438977.79
Median Absolute Deviation (MAD)32310.72
Skewness0.29379708
Sum3.1123525 × 108
Variance1.558539 × 109
MonotonicityNot monotonic
2023-12-11T07:23:27.943736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
415946.76841648 3
 
< 0.1%
485081.709052317 2
 
< 0.1%
483800.93187794 2
 
< 0.1%
493495.583106119 2
 
< 0.1%
508881.140748328 2
 
< 0.1%
381466.200322448 2
 
< 0.1%
460510.002026284 2
 
< 0.1%
428801.165984588 1
 
< 0.1%
434902.999194997 1
 
< 0.1%
395141.730537185 1
 
< 0.1%
Other values (691) 691
 
6.9%
(Missing) 9291
92.9%
ValueCountFrequency (%)
381466.200322448 2
< 0.1%
381740.547445804 1
< 0.1%
381859.932332251 1
< 0.1%
382056.043337576 1
< 0.1%
382268.154513705 1
< 0.1%
382611.760663342 1
< 0.1%
382811.156593095 1
< 0.1%
382811.713895303 1
< 0.1%
382862.734215089 1
< 0.1%
382973.256460146 1
< 0.1%
ValueCountFrequency (%)
520610.258975487 1
< 0.1%
517768.007783277 1
< 0.1%
517534.290982016 1
< 0.1%
517473.645194845 1
< 0.1%
516211.449446758 1
< 0.1%
515416.13806146 1
< 0.1%
512802.564874744 1
< 0.1%
510916.152397202 1
< 0.1%
508881.140748328 2
< 0.1%
507962.924486078 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가축사육업
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 10000
100.0%

Length

2023-12-11T07:23:28.094495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:28.189144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 10000
100.0%

축산고유번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct634
Distinct (%)85.9%
Missing9262
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean891.11111
Minimum3
Maximum2830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:28.291510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile67.95
Q1330
median717.5
Q31284.5
95-th percentile2463.95
Maximum2830
Range2827
Interquartile range (IQR)954.5

Descriptive statistics

Standard deviation704.14955
Coefficient of variation (CV)0.79019277
Kurtosis0.33459173
Mean891.11111
Median Absolute Deviation (MAD)474.5
Skewness0.96676168
Sum657640
Variance495826.59
MonotonicityNot monotonic
2023-12-11T07:23:28.439506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486 5
 
0.1%
488 3
 
< 0.1%
148 3
 
< 0.1%
1204 3
 
< 0.1%
270 3
 
< 0.1%
136 3
 
< 0.1%
703 3
 
< 0.1%
1291 3
 
< 0.1%
346 3
 
< 0.1%
124 3
 
< 0.1%
Other values (624) 706
 
7.1%
(Missing) 9262
92.6%
ValueCountFrequency (%)
3 1
< 0.1%
7 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
18 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
ValueCountFrequency (%)
2830 1
< 0.1%
2829 1
< 0.1%
2826 1
< 0.1%
2825 1
< 0.1%
2824 1
< 0.1%
2822 1
< 0.1%
2821 1
< 0.1%
2820 1
< 0.1%
2818 1
< 0.1%
2765 1
< 0.1%

권리주체일련번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9262 
000
 
717
L00
 
21

Length

Max length4
Median length4
Mean length3.9262
Min length3

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> 9262
92.6%
000 717
 
7.2%
L00 21
 
0.2%

Length

2023-12-11T07:23:28.584653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:28.683169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9262
92.6%
000 717
 
7.2%
l00 21
 
0.2%

Interactions

2023-12-11T07:23:20.152728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:19.546534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:19.814740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:20.250524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:19.624985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:19.920993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:20.352012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:19.720710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:20.036191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:23:28.758632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태구분코드영업상태명X좌표값Y좌표값축산고유번호권리주체일련번호
시군명1.0000.6440.3310.8790.9190.6320.188
영업상태구분코드0.6441.0001.0000.3590.3570.3170.000
영업상태명0.3311.0001.0000.3590.3570.3170.000
X좌표값0.8790.3590.3591.0000.7490.3850.128
Y좌표값0.9190.3570.3570.7491.0000.5710.183
축산고유번호0.6320.3170.3170.3850.5711.0000.148
권리주체일련번호0.1880.0000.0000.1280.1830.1481.000
2023-12-11T07:23:28.870058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
권리주체일련번호영업상태구분코드소재지면적정보영업상태명시군명
권리주체일련번호1.0000.0001.0000.0000.161
영업상태구분코드0.0001.0001.0001.0000.397
소재지면적정보1.0001.0001.0001.0001.000
영업상태명0.0001.0001.0001.0000.144
시군명0.1610.3971.0000.1441.000
2023-12-11T07:23:28.987563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표값Y좌표값축산고유번호시군명영업상태구분코드영업상태명소재지면적정보권리주체일련번호
X좌표값1.000-0.220-0.0330.5740.2210.2211.0000.098
Y좌표값-0.2201.000-0.1680.6620.2220.2221.0000.139
축산고유번호-0.033-0.1681.0000.2890.1930.1931.0000.113
시군명0.5740.6620.2891.0000.3970.1441.0000.161
영업상태구분코드0.2210.2220.1930.3971.0001.0001.0000.000
영업상태명0.2210.2220.1930.1441.0001.0001.0000.000
소재지면적정보1.0001.0001.0001.0001.0001.0001.0001.000
권리주체일련번호0.0980.1390.1130.1610.0000.0001.0001.000

Missing values

2023-12-11T07:23:20.526477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:23:20.813342image/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.
2023-12-11T07:23:21.041812image/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

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보소재지우편번호소재지도로명주소소재지지번주소도로명우편번호업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호
4164안성시시영농장20141031<NA><NA>운영중<NA><NA><NA>456881경기도 안성시 삼죽면 국사봉로 ***-**경기도 안성시 삼죽면 기솔리 ***-*번지<NA><NA><NA><NA>가축사육업<NA><NA>
9488여주시귀백농장20080708<NA><NA>폐업 등20161110<NA><NA>469822경기도 여주시 흥천면 귀백*길 *-**경기도 여주시 흥천면 귀백리 ***번지<NA><NA><NA><NA>가축사육업<NA><NA>
16640포천시소망농장20041130<NA><NA>폐업 등20090114<NA><NA>487881경기도 포천시 영중면 금화봉*길 ***경기도 포천시 영중면 거사리 ***-*번지<NA><NA><NA><NA>가축사육업<NA><NA>
12855이천시육계 대일농장20140704<NA><NA>폐업 등20150414<NA><NA>467851경기도 이천시 대월면 대장로 ***-**경기도 이천시 대월면 구시리 **번지<NA><NA><NA><NA>가축사육업<NA><NA>
6254안성시주주농축산20150629<NA><NA>폐업 등20180402<NA><NA>456914경기도 안성시 일죽면 선유동길 **-**경기도 안성시 일죽면 신흥리 ***-*번지 외 *필지<NA><NA><NA><NA>가축사육업<NA><NA>
2094김포시정열농장20071102<NA><NA>폐업 등20150114<NA><NA>415854경기도 김포시 대곶면 대곶서로***번길 ***경기도 김포시 대곶면 율생리 ***번지<NA><NA><NA><NA>가축사육업<NA><NA>
10068연천군경기유전자20090210<NA><NA>운영중<NA><NA><NA>486852경기도 연천군 청산면 청신로***번길 **-*경기도 연천군 청산면 초성리 **-*번지<NA><NA><NA><NA>가축사육업<NA><NA>
3120시흥시유실목장20140403<NA><NA>운영중<NA><NA><NA>429130<NA>경기도 시흥시 계수동 ***-**번지 , ***-*번지<NA><NA><NA><NA>가축사육업<NA><NA>
15199평택시성모목장20050518<NA><NA>폐업 등20160610<NA><NA>451832경기도 평택시 청북읍 고잔길 ***경기도 평택시 청북읍 고잔리 *번지<NA><NA><NA><NA>가축사육업<NA><NA>
16602포천시월산농장20041025<NA><NA>폐업 등20180601<NA><NA>487882경기도 포천시 영중면 은잿말길 ***경기도 포천시 영중면 영송리 ***번지<NA><NA><NA><NA>가축사육업<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보소재지우편번호소재지도로명주소소재지지번주소도로명우편번호업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호
11078용인시산석골농장20051031<NA><NA>운영중<NA><NA><NA>449864경기도 용인시 처인구 백암면 삼백로***번길 **경기도 용인시 처인구 백암면 근삼리 ***번지<NA><NA><NA><NA>가축사육업<NA><NA>
2332남양주시미미농장20070411<NA><NA>운영중<NA><NA><NA>472848경기도 남양주시 화도읍 폭포로**번길 **-***경기도 남양주시 화도읍 창현리 ***번지<NA><NA><NA><NA>가축사육업<NA><NA>
12272이천시경인농장20130910<NA><NA>운영중<NA><NA><NA>467872경기도 이천시 모가면 진상미로****번길 ***경기도 이천시 모가면 서경리 ***-*외*필지<NA><NA><NA><NA>가축사육업<NA><NA>
12703이천시인우목장2005-06-29<NA>0정상<NA>641-01800467-906경기도 이천시 장호원읍 경충대로***번길 ***경기도 이천시 장호원읍 이황리 ***-**<NA><NA>252047.367894406751.910652가축사육업513000
65가평군성수목장20080708<NA><NA>운영중<NA><NA><NA>477823<NA>경기도 가평군 상면 태봉리 ***번지<NA><NA><NA><NA>가축사육업<NA><NA>
4060안성시우리축산20130326<NA><NA>운영중<NA><NA><NA>456883<NA>경기도 안성시 삼죽면 내장리 **번지<NA><NA><NA><NA>가축사육업<NA><NA>
17477화성시형제목장20051125<NA><NA>운영중<NA><NA><NA>445831경기도 화성시 매송면 송숙로 ***경기도 화성시 매송면 야목리 **-*번지<NA><NA><NA><NA>가축사육업<NA><NA>
17432화성시임마누엘농장20050331<NA><NA>운영중<NA><NA><NA>445944경기도 화성시 장안면 용당골길 **경기도 화성시 장안면 수촌리 산 **-*번지<NA><NA><NA><NA>가축사육업<NA><NA>
9263여주시농업회사법인 (주) 안성 여주지점2007-09-19<NA>0정상<NA><NA>0469-852<NA>경기도 여주시 북내면 상교리 ***-* 외*필지<NA><NA>257980.378285433294.297984가축사육업768L00
17112화성시육교목장20050523<NA><NA>운영중<NA><NA><NA>445892경기도 화성시 봉담읍 하가등안길 **-*경기도 화성시 봉담읍 하가등리 ***-*번지<NA><NA><NA><NA>가축사육업<NA><NA>