Overview

Dataset statistics

Number of variables7
Number of observations35
Missing cells6
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory61.8 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description이천시 관내의 비료판매업소 정보로 업소명, 소재지 도로명주소, 지번주소, 전화번호, 위도, 경도 , 데이터 기준일자 등의 정보
Author경기도 이천시
URLhttps://www.data.go.kr/data/15045316/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도(WGS84) is highly overall correlated with 경도(WGS84)High correlation
경도(WGS84) is highly overall correlated with 위도(WGS84)High correlation
소재지도로명주소 has 1 (2.9%) missing valuesMissing
전화번호 has 5 (14.3%) missing valuesMissing
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:04:50.389553
Analysis finished2023-12-12 21:04:51.241455
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T06:04:51.379625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.5428571
Min length3

Characters and Unicode

Total characters334
Distinct characters108
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row(사)경기도 장애인복지회 이천시 대월면지부
2nd row(주)경농
3rd row(주)꿈에그린
4th row(주)동방미래산업
5th row(주)보성씨엔알
ValueCountFrequency (%)
주식회사 3
 
6.4%
농업회사법인 3
 
6.4%
사)경기도 1
 
2.1%
이천시농업기술센터 1
 
2.1%
친환경미생물배양실 1
 
2.1%
장군퇴비 1
 
2.1%
성진화학(주 1
 
2.1%
신협성비료 1
 
2.1%
엠이천 1
 
2.1%
우리축산영농조합법인[이천공장 1
 
2.1%
Other values (33) 33
70.2%
2023-12-13T06:04:51.697621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 19
 
5.7%
주 19
 
5.7%
( 18
 
5.4%
농 15
 
4.5%
사 14
 
4.2%
회 13
 
3.9%
이 13
 
3.9%
업 12
 
3.6%
12
 
3.6%
인 10
 
3.0%
Other values (98) 189
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
84.1%
Close Punctuation 20
 
6.0%
Open Punctuation 19
 
5.7%
Space Separator 12
 
3.6%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
6.8%
농 15
 
5.3%
사 14
 
5.0%
회 13
 
4.6%
이 13
 
4.6%
업 12
 
4.3%
인 10
 
3.6%
비 9
 
3.2%
법 8
 
2.8%
료 7
 
2.5%
Other values (91) 161
57.3%
Close Punctuation
ValueCountFrequency (%)
) 19
95.0%
] 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 18
94.7%
[ 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
84.1%
Common 51
 
15.3%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
6.8%
농 15
 
5.3%
사 14
 
5.0%
회 13
 
4.6%
이 13
 
4.6%
업 12
 
4.3%
인 10
 
3.6%
비 9
 
3.2%
법 8
 
2.8%
료 7
 
2.5%
Other values (91) 161
57.3%
Common
ValueCountFrequency (%)
) 19
37.3%
( 18
35.3%
12
23.5%
[ 1
 
2.0%
] 1
 
2.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
84.1%
ASCII 53
 
15.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 19
35.8%
( 18
34.0%
12
22.6%
[ 1
 
1.9%
] 1
 
1.9%
S 1
 
1.9%
T 1
 
1.9%
Hangul
ValueCountFrequency (%)
주 19
 
6.8%
농 15
 
5.3%
사 14
 
5.0%
회 13
 
4.6%
이 13
 
4.6%
업 12
 
4.3%
인 10
 
3.6%
비 9
 
3.2%
법 8
 
2.8%
료 7
 
2.5%
Other values (91) 161
57.3%

소재지도로명주소
Text

MISSING 

Distinct30
Distinct (%)88.2%
Missing1
Missing (%)2.9%
Memory size412.0 B
2023-12-13T06:04:51.910338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length23.411765
Min length17

Characters and Unicode

Total characters796
Distinct characters64
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

Unique26 ?
Unique (%)76.5%

Sample

1st row경기도 이천시 설성면 진상미로 512
2nd row경기도 이천시 대월면 대월로667번길 242-10
3rd row경기도 이천시 설성면 서동대로8295번길 95-16
4th row경기도 이천시 설성면 설가로 81-94
5th row경기도 이천시 백사면 원적로868번길 181-54
ValueCountFrequency (%)
경기도 34
19.8%
이천시 34
19.8%
대월면 6
 
3.5%
모가면 6
 
3.5%
설성면 5
 
2.9%
율면 4
 
2.3%
장호원읍 4
 
2.3%
부발읍 4
 
2.3%
대월로 3
 
1.7%
설장로 3
 
1.7%
Other values (59) 69
40.1%
2023-12-13T06:04:52.273965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
17.3%
1 40
 
5.0%
경 34
 
4.3%
로 34
 
4.3%
도 34
 
4.3%
이 34
 
4.3%
천 34
 
4.3%
시 34
 
4.3%
기 34
 
4.3%
2 26
 
3.3%
Other values (54) 354
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
55.8%
Decimal Number 192
24.1%
Space Separator 138
 
17.3%
Dash Punctuation 21
 
2.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 34
 
7.7%
로 34
 
7.7%
도 34
 
7.7%
이 34
 
7.7%
천 34
 
7.7%
시 34
 
7.7%
기 34
 
7.7%
면 23
 
5.2%
길 16
 
3.6%
번 16
 
3.6%
Other values (41) 151
34.0%
Decimal Number
ValueCountFrequency (%)
1 40
20.8%
2 26
13.5%
4 24
12.5%
8 22
11.5%
9 19
9.9%
5 16
 
8.3%
6 15
 
7.8%
0 12
 
6.2%
3 10
 
5.2%
7 8
 
4.2%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
55.8%
Common 352
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 34
 
7.7%
로 34
 
7.7%
도 34
 
7.7%
이 34
 
7.7%
천 34
 
7.7%
시 34
 
7.7%
기 34
 
7.7%
면 23
 
5.2%
길 16
 
3.6%
번 16
 
3.6%
Other values (41) 151
34.0%
Common
ValueCountFrequency (%)
138
39.2%
1 40
 
11.4%
2 26
 
7.4%
4 24
 
6.8%
8 22
 
6.2%
- 21
 
6.0%
9 19
 
5.4%
5 16
 
4.5%
6 15
 
4.3%
0 12
 
3.4%
Other values (3) 19
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
55.8%
ASCII 352
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
39.2%
1 40
 
11.4%
2 26
 
7.4%
4 24
 
6.8%
8 22
 
6.2%
- 21
 
6.0%
9 19
 
5.4%
5 16
 
4.5%
6 15
 
4.3%
0 12
 
3.4%
Other values (3) 19
 
5.4%
Hangul
ValueCountFrequency (%)
경 34
 
7.7%
로 34
 
7.7%
도 34
 
7.7%
이 34
 
7.7%
천 34
 
7.7%
시 34
 
7.7%
기 34
 
7.7%
면 23
 
5.2%
길 16
 
3.6%
번 16
 
3.6%
Other values (41) 151
34.0%

소재지지번주소
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T06:04:52.511288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length20.657143
Min length17

Characters and Unicode

Total characters723
Distinct characters69
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

Unique27 ?
Unique (%)77.1%

Sample

1st row경기도 이천시 대월면 도리리 348번지
2nd row경기도 이천시 설성면 장능리 351-5
3rd row경기도 이천시 대월면 도리리 81-1
4th row경기도 이천시 설성면 제요리 120-3
5th row경기도 이천시 설성면 수산리 32-19
ValueCountFrequency (%)
경기도 35
20.3%
이천시 35
20.3%
대월면 7
 
4.1%
모가면 6
 
3.5%
설성면 5
 
2.9%
율면 4
 
2.3%
장호원읍 4
 
2.3%
부발읍 4
 
2.3%
군량리 3
 
1.7%
장능리 2
 
1.2%
Other values (56) 67
39.0%
2023-12-13T06:04:52.978941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
18.9%
도 38
 
5.3%
경 37
 
5.1%
시 36
 
5.0%
리 36
 
5.0%
천 35
 
4.8%
이 35
 
4.8%
기 35
 
4.8%
- 28
 
3.9%
면 24
 
3.3%
Other values (59) 282
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
58.8%
Space Separator 137
 
18.9%
Decimal Number 133
 
18.4%
Dash Punctuation 28
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 38
 
8.9%
경 37
 
8.7%
시 36
 
8.5%
리 36
 
8.5%
천 35
 
8.2%
이 35
 
8.2%
기 35
 
8.2%
면 24
 
5.6%
대 10
 
2.4%
읍 10
 
2.4%
Other values (47) 129
30.4%
Decimal Number
ValueCountFrequency (%)
1 23
17.3%
2 19
14.3%
4 18
13.5%
3 17
12.8%
7 14
10.5%
5 13
9.8%
6 10
7.5%
9 7
 
5.3%
8 7
 
5.3%
0 5
 
3.8%
Space Separator
ValueCountFrequency (%)
137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
58.8%
Common 298
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 38
 
8.9%
경 37
 
8.7%
시 36
 
8.5%
리 36
 
8.5%
천 35
 
8.2%
이 35
 
8.2%
기 35
 
8.2%
면 24
 
5.6%
대 10
 
2.4%
읍 10
 
2.4%
Other values (47) 129
30.4%
Common
ValueCountFrequency (%)
137
46.0%
- 28
 
9.4%
1 23
 
7.7%
2 19
 
6.4%
4 18
 
6.0%
3 17
 
5.7%
7 14
 
4.7%
5 13
 
4.4%
6 10
 
3.4%
9 7
 
2.3%
Other values (2) 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
58.8%
ASCII 298
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
46.0%
- 28
 
9.4%
1 23
 
7.7%
2 19
 
6.4%
4 18
 
6.0%
3 17
 
5.7%
7 14
 
4.7%
5 13
 
4.4%
6 10
 
3.4%
9 7
 
2.3%
Other values (2) 12
 
4.0%
Hangul
ValueCountFrequency (%)
도 38
 
8.9%
경 37
 
8.7%
시 36
 
8.5%
리 36
 
8.5%
천 35
 
8.2%
이 35
 
8.2%
기 35
 
8.2%
면 24
 
5.6%
대 10
 
2.4%
읍 10
 
2.4%
Other values (47) 129
30.4%

전화번호
Text

MISSING 

Distinct27
Distinct (%)90.0%
Missing5
Missing (%)14.3%
Memory size412.0 B
2023-12-13T06:04:53.174882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.9
Min length9

Characters and Unicode

Total characters357
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

Unique24 ?
Unique (%)80.0%

Sample

1st row031-632-0904
2nd row031-642-5941
3rd row031-632-0904
4th row031-641-2121
5th row031-642-8996
ValueCountFrequency (%)
031-642-0320 2
 
6.7%
031-632-0904 2
 
6.7%
031-643-6311 2
 
6.7%
031-632-6821 1
 
3.3%
031-637-2610 1
 
3.3%
031-642-9989 1
 
3.3%
031-636-3236 1
 
3.3%
031-634-3362 1
 
3.3%
1577-5963 1
 
3.3%
031-644-4100 1
 
3.3%
Other values (17) 17
56.7%
2023-12-13T06:04:53.512596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 67
18.8%
- 59
16.5%
1 50
14.0%
0 45
12.6%
6 37
10.4%
4 32
9.0%
2 26
 
7.3%
9 13
 
3.6%
5 12
 
3.4%
8 11
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 298
83.5%
Dash Punctuation 59
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 67
22.5%
1 50
16.8%
0 45
15.1%
6 37
12.4%
4 32
10.7%
2 26
 
8.7%
9 13
 
4.4%
5 12
 
4.0%
8 11
 
3.7%
7 5
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 357
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 67
18.8%
- 59
16.5%
1 50
14.0%
0 45
12.6%
6 37
10.4%
4 32
9.0%
2 26
 
7.3%
9 13
 
3.6%
5 12
 
3.4%
8 11
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 357
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 67
18.8%
- 59
16.5%
1 50
14.0%
0 45
12.6%
6 37
10.4%
4 32
9.0%
2 26
 
7.3%
9 13
 
3.6%
5 12
 
3.4%
8 11
 
3.1%

위도(WGS84)
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.179188
Minimum37.074971
Maximum37.334023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T06:04:53.641433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.074971
5-th percentile37.083468
Q137.131419
median37.176897
Q337.212135
95-th percentile37.285683
Maximum37.334023
Range0.2590517
Interquartile range (IQR)0.08071615

Descriptive statistics

Standard deviation0.065336188
Coefficient of variation (CV)0.0017573323
Kurtosis-0.34299507
Mean37.179188
Median Absolute Deviation (MAD)0.0424505
Skewness0.46442327
Sum1301.2716
Variance0.0042688174
MonotonicityNot monotonic
2023-12-13T06:04:53.763819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.1693879 2
 
5.7%
37.1590799 2
 
5.7%
37.1344461 2
 
5.7%
37.182121 2
 
5.7%
37.1283925 1
 
2.9%
37.2037094 1
 
2.9%
37.0830843 1
 
2.9%
37.2723969 1
 
2.9%
37.120228 1
 
2.9%
37.2088823 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
37.0749709 1
2.9%
37.0830843 1
2.9%
37.0836329 1
2.9%
37.0958971 1
2.9%
37.1103668 1
2.9%
37.1139928 1
2.9%
37.1202114 1
2.9%
37.120228 1
2.9%
37.1283925 1
2.9%
37.1344461 2
5.7%
ValueCountFrequency (%)
37.3340226 1
2.9%
37.3063787 1
2.9%
37.2768132 1
2.9%
37.2723969 1
2.9%
37.2556656 1
2.9%
37.2516812 1
2.9%
37.2495731 1
2.9%
37.2421615 1
2.9%
37.2153886 1
2.9%
37.2088823 1
2.9%

경도(WGS84)
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.50088
Minimum127.35898
Maximum127.61094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T06:04:53.903729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.35898
5-th percentile127.43627
Q1127.47768
median127.49313
Q3127.52846
95-th percentile127.57966
Maximum127.61094
Range0.251958
Interquartile range (IQR)0.05077465

Descriptive statistics

Standard deviation0.051132081
Coefficient of variation (CV)0.00040103316
Kurtosis0.76844494
Mean127.50088
Median Absolute Deviation (MAD)0.0315655
Skewness-0.13131088
Sum4462.5308
Variance0.0026144897
MonotonicityNot monotonic
2023-12-13T06:04:54.055936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.4412765 2
 
5.7%
127.4788572 2
 
5.7%
127.5741724 2
 
5.7%
127.4927932 2
 
5.7%
127.5348532 1
 
2.9%
127.3589811 1
 
2.9%
127.5246978 1
 
2.9%
127.432576 1
 
2.9%
127.6109391 1
 
2.9%
127.4814139 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
127.3589811 1
2.9%
127.432576 1
2.9%
127.437859 1
2.9%
127.4412765 2
5.7%
127.4578534 1
2.9%
127.4598945 1
2.9%
127.4621884 1
2.9%
127.4772217 1
2.9%
127.4781474 1
2.9%
127.4788572 2
5.7%
ValueCountFrequency (%)
127.6109391 1
2.9%
127.5924524 1
2.9%
127.5741724 2
5.7%
127.5685393 1
2.9%
127.5541414 1
2.9%
127.546642 1
2.9%
127.5348532 1
2.9%
127.531929 1
2.9%
127.5249894 1
2.9%
127.5246978 1
2.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-09-01
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-01
2nd row2023-09-01
3rd row2023-09-01
4th row2023-09-01
5th row2023-09-01

Common Values

ValueCountFrequency (%)
2023-09-01 35
100.0%

Length

2023-12-13T06:04:54.191965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:54.281883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-01 35
100.0%

Interactions

2023-12-13T06:04:50.837376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:04:50.697116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:04:50.910273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:04:50.765122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:04:54.341555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명소재지도로명주소소재지지번주소전화번호위도(WGS84)경도(WGS84)
상호명1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0000.998
위도(WGS84)1.0001.0001.0001.0001.0000.673
경도(WGS84)1.0001.0001.0000.9980.6731.000
2023-12-13T06:04:54.440990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도(WGS84)경도(WGS84)
위도(WGS84)1.000-0.596
경도(WGS84)-0.5961.000

Missing values

2023-12-13T06:04:51.010345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:04:51.112241image/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.
2023-12-13T06:04:51.194711image/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

상호명소재지도로명주소소재지지번주소전화번호위도(WGS84)경도(WGS84)데이터기준일자
0(사)경기도 장애인복지회 이천시 대월면지부<NA>경기도 이천시 대월면 도리리 348번지031-632-090437.208882127.4814142023-09-01
1(주)경농경기도 이천시 설성면 진상미로 512경기도 이천시 설성면 장능리 351-5031-642-594137.120211127.5214882023-09-01
2(주)꿈에그린경기도 이천시 대월면 대월로667번길 242-10경기도 이천시 대월면 도리리 81-1031-632-090437.208835127.4851692023-09-01
3(주)동방미래산업경기도 이천시 설성면 서동대로8295번길 95-16경기도 이천시 설성면 제요리 120-3031-641-212137.113993127.5541412023-09-01
4(주)보성씨엔알경기도 이천시 설성면 설가로 81-94경기도 이천시 설성면 수산리 32-19031-642-899637.145606127.5102232023-09-01
5(주)부국경기도 이천시 백사면 원적로868번길 181-54경기도 이천시 백사면 도립리 147-1031-632-440237.334023127.4772222023-09-01
6(주)아미바이오 농업회사법인경기도 이천시 부발읍 황무로 1883경기도 이천시 부발읍 송온리 151-17031-635-340037.255666127.517482023-09-01
7(주)에스코경기도 이천시 대월면 대월로 240경기도 이천시 대월면 군량리 623-5031-642-032037.182121127.4927932023-09-01
8농업회사법인 주식회사 제일경기도 이천시 율면 고월로179번길 120경기도 이천시 율면 월포리 714-34031-641-418737.083633127.5685392023-09-01
9강훈비료경기도 이천시 대월면 대장로 278번길 150-32경기도 이천시 대월면 대대리 268-2031-634-361437.215389127.4781472023-09-01
상호명소재지도로명주소소재지지번주소전화번호위도(WGS84)경도(WGS84)데이터기준일자
25이천시농업기술센터경기도 이천시 부악로 38-52경기도 이천시 중리동 386번지031-644-415337.272397127.4325762023-09-01
26이천시농업기술센터(남부권 친환경미생물배양실)경기도 이천시 장호원읍 서동대로8759번길 97-92경기도 이천시 장호원읍 진암리 328-7031-644-410037.120228127.6109392023-09-01
27장군퇴비경기도 이천시 설성면 설장로 122번길 146경기도 이천시 설성면 장능리 196-30<NA>37.128392127.5348532023-09-01
28천연비료경기도 이천시 율면 고당로 147경기도 이천시 율면 고당리 242-81577-596337.095897127.5466422023-09-01
29케이지케미칼(주)경기도 이천시 장호원읍 설장로 599-144경기도 이천시 장호원읍 선읍리 472-4031-643-631137.134446127.5741722023-09-01
30태농비료산업사경기도 이천시 모가면 공원로218번길 158-48경기도 이천시 모가면 소고리 121번지031-634-336237.176897127.4578532023-09-01
31티디바이오경기도 이천시 설봉로6번길 14,2층경기도 이천시 중리동 445-4<NA>37.276813127.4378592023-09-01
32푸른들경기도 이천시 부발읍 황무로1996번길 121-10경기도 이천시 부발읍 가산리 427-100031-636-323637.249573127.5065892023-09-01
33한국양계TS(주)경기도 이천시 장호원읍 어석로 260경기도 이천시 장호원읍 어석리 77-1031-642-998937.110367127.5924522023-09-01
34한국원예자재경기도 이천시 진상미로2232번길 94경기도 이천시 고담동 326-4031-633-931337.242162127.4598952023-09-01