Overview

Dataset statistics

Number of variables26
Number of observations107
Missing cells1321
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.2 KiB
Average record size in memory222.2 B

Variable types

Categorical6
Text8
DateTime2
Unsupported6
Numeric4

Dataset

Description가축 분뇨 수집 운반업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Z69L11L87857CU5163MI696522&infSeq=1

Alerts

영업상태구분코드 is highly imbalanced (53.4%)Imbalance
영업상태명 is highly imbalanced (53.9%)Imbalance
인허가취소일자 has 107 (100.0%) missing valuesMissing
폐업일자 has 99 (92.5%) missing valuesMissing
소재지시설전화번호 has 95 (88.8%) missing valuesMissing
소재지면적정보 has 107 (100.0%) missing valuesMissing
도로명우편번호 has 91 (85.0%) missing valuesMissing
소재지도로명주소 has 5 (4.7%) missing valuesMissing
WGS84위도 has 3 (2.8%) missing valuesMissing
WGS84경도 has 3 (2.8%) missing valuesMissing
업태구분명정보 has 102 (95.3%) missing valuesMissing
X좌표값 has 89 (83.2%) missing valuesMissing
Y좌표값 has 89 (83.2%) missing valuesMissing
업종구분명정보 has 102 (95.3%) missing valuesMissing
종별명 has 107 (100.0%) missing valuesMissing
주생산품명정보 has 107 (100.0%) missing valuesMissing
배출시설조업시간 has 107 (100.0%) missing valuesMissing
방지시설조업시간 has 107 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 20:59:27.206584
Analysis finished2023-12-10 20:59:28.064691
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct20
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
이천시
19 
광주시
11 
용인시
11 
파주시
10 
포천시
9 
Other values (15)
47 

Length

Max length4
Median length3
Mean length3.0186916
Min length3

Unique

Unique4 ?
Unique (%)3.7%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row광주시

Common Values

ValueCountFrequency (%)
이천시 19
17.8%
광주시 11
10.3%
용인시 11
10.3%
파주시 10
9.3%
포천시 9
8.4%
연천군 9
8.4%
양평군 6
 
5.6%
안성시 6
 
5.6%
화성시 5
 
4.7%
김포시 3
 
2.8%
Other values (10) 18
16.8%

Length

2023-12-11T05:59:28.154529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이천시 19
17.8%
광주시 11
10.3%
용인시 11
10.3%
파주시 10
9.3%
포천시 9
8.4%
연천군 9
8.4%
양평군 6
 
5.6%
안성시 6
 
5.6%
화성시 5
 
4.7%
양주시 3
 
2.8%
Other values (10) 18
16.8%

사업장명
Text

Distinct90
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T05:59:28.448677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.9158879
Min length2

Characters and Unicode

Total characters740
Distinct characters132
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

Unique74 ?
Unique (%)69.2%

Sample

1st row가평축산업협동조합
2nd row가평축산업협동조합
3rd row(주)문화환경건설연구소
4th row(주)문화환경건설연구소
5th row(주)정화환경
ValueCountFrequency (%)
제일환경 3
 
2.6%
농업회사법인 3
 
2.6%
가평축산업협동조합 2
 
1.7%
김포축산업협동조합 2
 
1.7%
그린화성(주 2
 
1.7%
임진환경 2
 
1.7%
파주위생 2
 
1.7%
영농조합법인 2
 
1.7%
시흥환경 2
 
1.7%
안성양돈협회영농조합법인 2
 
1.7%
Other values (85) 95
81.2%
2023-12-11T05:59:29.035198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 51
 
6.9%
환 47
 
6.4%
주 40
 
5.4%
) 27
 
3.6%
( 27
 
3.6%
합 21
 
2.8%
조 21
 
2.8%
화 19
 
2.6%
영 19
 
2.6%
인 18
 
2.4%
Other values (122) 450
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 673
90.9%
Close Punctuation 27
 
3.6%
Open Punctuation 27
 
3.6%
Space Separator 10
 
1.4%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 51
 
7.6%
환 47
 
7.0%
주 40
 
5.9%
합 21
 
3.1%
조 21
 
3.1%
화 19
 
2.8%
영 19
 
2.8%
인 18
 
2.7%
축 18
 
2.7%
산 17
 
2.5%
Other values (117) 402
59.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 673
90.9%
Common 67
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 51
 
7.6%
환 47
 
7.0%
주 40
 
5.9%
합 21
 
3.1%
조 21
 
3.1%
화 19
 
2.8%
영 19
 
2.8%
인 18
 
2.7%
축 18
 
2.7%
산 17
 
2.5%
Other values (117) 402
59.7%
Common
ValueCountFrequency (%)
) 27
40.3%
( 27
40.3%
10
 
14.9%
1 2
 
3.0%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 673
90.9%
ASCII 67
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 51
 
7.6%
환 47
 
7.0%
주 40
 
5.9%
합 21
 
3.1%
조 21
 
3.1%
화 19
 
2.8%
영 19
 
2.8%
인 18
 
2.7%
축 18
 
2.7%
산 17
 
2.5%
Other values (117) 402
59.7%
ASCII
ValueCountFrequency (%)
) 27
40.3%
( 27
40.3%
10
 
14.9%
1 2
 
3.0%
2 1
 
1.5%

인허가일자
Date

Distinct85
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum1992-12-31 00:00:00
Maximum2023-01-05 00:00:00
2023-12-11T05:59:29.406601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:59:29.572087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
89 
3
16 
2
 
2

Length

Max length4
Median length4
Mean length3.4953271
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 89
83.2%
3 16
 
15.0%
2 2
 
1.9%

Length

2023-12-11T05:59:29.694923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:59:29.809031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
83.2%
3 16
 
15.0%
2 2
 
1.9%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
운영중
83 
영업
16 
폐업 등
 
5
폐업
 
2
휴업 등
 
1

Length

Max length4
Median length3
Mean length2.8878505
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 83
77.6%
영업 16
 
15.0%
폐업 등 5
 
4.7%
폐업 2
 
1.9%
휴업 등 1
 
0.9%

Length

2023-12-11T05:59:29.954950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:59:30.080238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 83
73.5%
영업 16
 
14.2%
폐업 7
 
6.2%
등 6
 
5.3%
휴업 1
 
0.9%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing99
Missing (%)92.5%
Memory size988.0 B
Minimum1998-05-09 00:00:00
Maximum2023-07-25 00:00:00
2023-12-11T05:59:30.186966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:59:30.311491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

소재지시설전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing95
Missing (%)88.8%
Memory size988.0 B
2023-12-11T05:59:30.517668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.666667
Min length7

Characters and Unicode

Total characters128
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row031-582-4111
2nd row031-989-9380
3rd row0315735560
4th row031 3129944
5th row0316753264
ValueCountFrequency (%)
031-582-4111 1
 
7.7%
031-989-9380 1
 
7.7%
0315735560 1
 
7.7%
031 1
 
7.7%
3129944 1
 
7.7%
0316753264 1
 
7.7%
0318678383 1
 
7.7%
031-883-2331 1
 
7.7%
031-322-4111 1
 
7.7%
0316426311 1
 
7.7%
Other values (3) 3
23.1%
2023-12-11T05:59:30.836989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 26
20.3%
1 22
17.2%
0 13
10.2%
8 11
8.6%
- 10
 
7.8%
4 9
 
7.0%
5 8
 
6.2%
2 8
 
6.2%
9 8
 
6.2%
6 8
 
6.2%
Other values (2) 5
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
91.4%
Dash Punctuation 10
 
7.8%
Space Separator 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 26
22.2%
1 22
18.8%
0 13
11.1%
8 11
9.4%
4 9
 
7.7%
5 8
 
6.8%
2 8
 
6.8%
9 8
 
6.8%
6 8
 
6.8%
7 4
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 128
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 26
20.3%
1 22
17.2%
0 13
10.2%
8 11
8.6%
- 10
 
7.8%
4 9
 
7.0%
5 8
 
6.2%
2 8
 
6.2%
9 8
 
6.2%
6 8
 
6.2%
Other values (2) 5
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 26
20.3%
1 22
17.2%
0 13
10.2%
8 11
8.6%
- 10
 
7.8%
4 9
 
7.0%
5 8
 
6.2%
2 8
 
6.2%
9 8
 
6.2%
6 8
 
6.2%
Other values (2) 5
 
3.9%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

도로명우편번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing91
Missing (%)85.0%
Memory size988.0 B
2023-12-11T05:59:31.011542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.875
Min length5

Characters and Unicode

Total characters94
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

Unique16 ?
Unique (%)100.0%

Sample

1st row12420
2nd row10050
3rd row12047
4th row14906
5th row456-872
ValueCountFrequency (%)
12623 1
 
6.2%
10050 1
 
6.2%
12047 1
 
6.2%
14906 1
 
6.2%
456-872 1
 
6.2%
456-120 1
 
6.2%
11425 1
 
6.2%
17178 1
 
6.2%
12420 1
 
6.2%
413-842 1
 
6.2%
Other values (6) 6
37.5%
2023-12-11T05:59:31.366980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
21.3%
4 15
16.0%
2 10
10.6%
0 10
10.6%
3 7
 
7.4%
- 7
 
7.4%
8 7
 
7.4%
6 6
 
6.4%
5 5
 
5.3%
7 5
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
92.6%
Dash Punctuation 7
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
23.0%
4 15
17.2%
2 10
11.5%
0 10
11.5%
3 7
 
8.0%
8 7
 
8.0%
6 6
 
6.9%
5 5
 
5.7%
7 5
 
5.7%
9 2
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 20
21.3%
4 15
16.0%
2 10
10.6%
0 10
10.6%
3 7
 
7.4%
- 7
 
7.4%
8 7
 
7.4%
6 6
 
6.4%
5 5
 
5.3%
7 5
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
21.3%
4 15
16.0%
2 10
10.6%
0 10
10.6%
3 7
 
7.4%
- 7
 
7.4%
8 7
 
7.4%
6 6
 
6.4%
5 5
 
5.3%
7 5
 
5.3%

소재지도로명주소
Text

MISSING 

Distinct83
Distinct (%)81.4%
Missing5
Missing (%)4.7%
Memory size988.0 B
2023-12-11T05:59:31.659780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length24.186275
Min length13

Characters and Unicode

Total characters2467
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)66.7%

Sample

1st row경기도 가평군 가평읍 가화로 55-17, 가평축산농협
2nd row경기도 가평군 가평읍 가화로 55-12
3rd row경기도 고양시 덕양구 원당로33번길 57 (주교동)
4th row경기도 고양시 덕양구 원당로33번길 57 (주교동)
5th row경기도 광주시 초월읍 설월길23번길 18
ValueCountFrequency (%)
경기도 102
 
18.8%
이천시 15
 
2.8%
용인시 11
 
2.0%
처인구 11
 
2.0%
광주시 11
 
2.0%
파주시 10
 
1.8%
연천군 9
 
1.7%
포천시 8
 
1.5%
포곡읍 7
 
1.3%
전곡읍 6
 
1.1%
Other values (230) 353
65.0%
2023-12-11T05:59:32.200971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452
 
18.3%
경 118
 
4.8%
기 104
 
4.2%
도 104
 
4.2%
1 92
 
3.7%
시 87
 
3.5%
로 85
 
3.4%
2 54
 
2.2%
길 51
 
2.1%
4 47
 
1.9%
Other values (164) 1273
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1428
57.9%
Decimal Number 462
 
18.7%
Space Separator 452
 
18.3%
Dash Punctuation 38
 
1.5%
Open Punctuation 33
 
1.3%
Close Punctuation 33
 
1.3%
Other Punctuation 14
 
0.6%
Uppercase Letter 5
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 118
 
8.3%
기 104
 
7.3%
도 104
 
7.3%
시 87
 
6.1%
로 85
 
6.0%
길 51
 
3.6%
면 42
 
2.9%
동 37
 
2.6%
천 35
 
2.5%
번 34
 
2.4%
Other values (142) 731
51.2%
Decimal Number
ValueCountFrequency (%)
1 92
19.9%
2 54
11.7%
4 47
10.2%
6 42
9.1%
5 41
8.9%
8 40
8.7%
3 39
8.4%
9 37
8.0%
7 35
 
7.6%
0 35
 
7.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
O 1
20.0%
B 1
20.0%
E 1
20.0%
Q 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1428
57.9%
Common 1032
41.8%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 118
 
8.3%
기 104
 
7.3%
도 104
 
7.3%
시 87
 
6.1%
로 85
 
6.0%
길 51
 
3.6%
면 42
 
2.9%
동 37
 
2.6%
천 35
 
2.5%
번 34
 
2.4%
Other values (142) 731
51.2%
Common
ValueCountFrequency (%)
452
43.8%
1 92
 
8.9%
2 54
 
5.2%
4 47
 
4.6%
6 42
 
4.1%
5 41
 
4.0%
8 40
 
3.9%
3 39
 
3.8%
- 38
 
3.7%
9 37
 
3.6%
Other values (5) 150
 
14.5%
Latin
ValueCountFrequency (%)
S 1
14.3%
l 1
14.3%
i 1
14.3%
O 1
14.3%
B 1
14.3%
E 1
14.3%
Q 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1428
57.9%
ASCII 1039
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
452
43.5%
1 92
 
8.9%
2 54
 
5.2%
4 47
 
4.5%
6 42
 
4.0%
5 41
 
3.9%
8 40
 
3.8%
3 39
 
3.8%
- 38
 
3.7%
9 37
 
3.6%
Other values (12) 157
 
15.1%
Hangul
ValueCountFrequency (%)
경 118
 
8.3%
기 104
 
7.3%
도 104
 
7.3%
시 87
 
6.1%
로 85
 
6.0%
길 51
 
3.6%
면 42
 
2.9%
동 37
 
2.6%
천 35
 
2.5%
번 34
 
2.4%
Other values (142) 731
51.2%

소재지지번주소
Text

Distinct92
Distinct (%)86.8%
Missing1
Missing (%)0.9%
Memory size988.0 B
2023-12-11T05:59:32.565221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37.5
Mean length22.943396
Min length15

Characters and Unicode

Total characters2432
Distinct characters150
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

Unique84 ?
Unique (%)79.2%

Sample

1st row경기도 가평군 가평읍 대곡리 166-2 가평축산농협
2nd row경기도 가평군 가평읍 대곡리 166-1번지
3rd row경기도 고양시 덕양구 주교동 213-7번지
4th row경기도 고양시 덕양구 주교동 213-7번지
5th row경기도 광주시 초월읍 지월리 754-1번지
ValueCountFrequency (%)
경기도 106
 
19.9%
이천시 18
 
3.4%
처인구 11
 
2.1%
광주시 11
 
2.1%
용인시 11
 
2.1%
파주시 10
 
1.9%
연천군 9
 
1.7%
포천시 8
 
1.5%
포곡읍 7
 
1.3%
장호원읍 7
 
1.3%
Other values (230) 334
62.8%
2023-12-11T05:59:33.064842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
441
 
18.1%
경 111
 
4.6%
도 109
 
4.5%
기 106
 
4.4%
지 98
 
4.0%
시 91
 
3.7%
번 88
 
3.6%
- 82
 
3.4%
리 77
 
3.2%
2 75
 
3.1%
Other values (140) 1154
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1468
60.4%
Space Separator 441
 
18.1%
Decimal Number 439
 
18.1%
Dash Punctuation 82
 
3.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 111
 
7.6%
도 109
 
7.4%
기 106
 
7.2%
지 98
 
6.7%
시 91
 
6.2%
번 88
 
6.0%
리 77
 
5.2%
면 42
 
2.9%
동 40
 
2.7%
천 38
 
2.6%
Other values (126) 668
45.5%
Decimal Number
ValueCountFrequency (%)
2 75
17.1%
1 72
16.4%
4 56
12.8%
3 49
11.2%
5 39
8.9%
6 35
8.0%
7 31
7.1%
8 29
 
6.6%
9 28
 
6.4%
0 25
 
5.7%
Space Separator
ValueCountFrequency (%)
441
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1468
60.4%
Common 964
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 111
 
7.6%
도 109
 
7.4%
기 106
 
7.2%
지 98
 
6.7%
시 91
 
6.2%
번 88
 
6.0%
리 77
 
5.2%
면 42
 
2.9%
동 40
 
2.7%
천 38
 
2.6%
Other values (126) 668
45.5%
Common
ValueCountFrequency (%)
441
45.7%
- 82
 
8.5%
2 75
 
7.8%
1 72
 
7.5%
4 56
 
5.8%
3 49
 
5.1%
5 39
 
4.0%
6 35
 
3.6%
7 31
 
3.2%
8 29
 
3.0%
Other values (4) 55
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1468
60.4%
ASCII 964
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
441
45.7%
- 82
 
8.5%
2 75
 
7.8%
1 72
 
7.5%
4 56
 
5.8%
3 49
 
5.1%
5 39
 
4.0%
6 35
 
3.6%
7 31
 
3.2%
8 29
 
3.0%
Other values (4) 55
 
5.7%
Hangul
ValueCountFrequency (%)
경 111
 
7.6%
도 109
 
7.4%
기 106
 
7.2%
지 98
 
6.7%
시 91
 
6.2%
번 88
 
6.0%
리 77
 
5.2%
면 42
 
2.9%
동 40
 
2.7%
천 38
 
2.6%
Other values (126) 668
45.5%

소재지우편번호
Text

Distinct87
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T05:59:33.409669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7850467
Min length5

Characters and Unicode

Total characters619
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

Unique75 ?
Unique (%)70.1%

Sample

1st row12420
2nd row477804
3rd row412010
4th row412010
5th row464863
ValueCountFrequency (%)
17022 5
 
4.7%
486902 5
 
4.7%
17415 3
 
2.8%
464800 3
 
2.8%
469805 2
 
1.9%
467120 2
 
1.9%
464070 2
 
1.9%
412010 2
 
1.9%
487886 2
 
1.9%
467902 2
 
1.9%
Other values (77) 79
73.8%
2023-12-11T05:59:34.058634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 110
17.8%
8 80
12.9%
1 79
12.8%
0 72
11.6%
2 69
11.1%
7 60
9.7%
6 59
9.5%
3 30
 
4.8%
5 29
 
4.7%
9 22
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
98.5%
Dash Punctuation 9
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 110
18.0%
8 80
13.1%
1 79
13.0%
0 72
11.8%
2 69
11.3%
7 60
9.8%
6 59
9.7%
3 30
 
4.9%
5 29
 
4.8%
9 22
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 619
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 110
17.8%
8 80
12.9%
1 79
12.8%
0 72
11.6%
2 69
11.1%
7 60
9.7%
6 59
9.5%
3 30
 
4.8%
5 29
 
4.7%
9 22
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 619
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 110
17.8%
8 80
12.9%
1 79
12.8%
0 72
11.6%
2 69
11.1%
7 60
9.7%
6 59
9.5%
3 30
 
4.8%
5 29
 
4.7%
9 22
 
3.6%

WGS84위도
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)76.9%
Missing3
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean37.509265
Minimum36.941079
Maximum38.130363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:59:34.227625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.941079
5-th percentile37.056697
Q137.222536
median37.415987
Q337.822139
95-th percentile38.028746
Maximum38.130363
Range1.1892842
Interquartile range (IQR)0.59960311

Descriptive statistics

Standard deviation0.33502142
Coefficient of variation (CV)0.0089316978
Kurtosis-1.2165845
Mean37.509265
Median Absolute Deviation (MAD)0.26346359
Skewness0.30663621
Sum3900.9635
Variance0.11223935
MonotonicityNot monotonic
2023-12-11T05:59:34.390691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3040846784 4
 
3.7%
37.411796138 4
 
3.7%
37.1341606438 3
 
2.8%
38.0293724286 3
 
2.8%
37.406806242 3
 
2.8%
37.1411413199 2
 
1.9%
37.831889681 2
 
1.9%
37.8213378406 2
 
1.9%
37.2982917987 2
 
1.9%
38.0138601317 2
 
1.9%
Other values (70) 77
72.0%
(Missing) 3
 
2.8%
ValueCountFrequency (%)
36.941078775 1
 
0.9%
37.0036807763 2
1.9%
37.0271300324 2
1.9%
37.0546472869 1
 
0.9%
37.0683122095 1
 
0.9%
37.0743988926 1
 
0.9%
37.1296314652 1
 
0.9%
37.1341606438 3
2.8%
37.1344599489 1
 
0.9%
37.1393131671 2
1.9%
ValueCountFrequency (%)
38.130363007 1
 
0.9%
38.114051808 1
 
0.9%
38.0351364183 1
 
0.9%
38.0293724286 3
2.8%
38.0251994712 2
1.9%
38.017702162 1
 
0.9%
38.0167326414 1
 
0.9%
38.0147823977 1
 
0.9%
38.0141415947 1
 
0.9%
38.0138601317 2
1.9%

WGS84경도
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)76.9%
Missing3
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean127.19861
Minimum126.56456
Maximum127.75367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:59:34.575497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56456
5-th percentile126.71716
Q1127.0397
median127.23157
Q3127.43932
95-th percentile127.62547
Maximum127.75367
Range1.1891141
Interquartile range (IQR)0.39962671

Descriptive statistics

Standard deviation0.2834794
Coefficient of variation (CV)0.0022286361
Kurtosis-0.74559874
Mean127.19861
Median Absolute Deviation (MAD)0.20506115
Skewness-0.26911042
Sum13228.655
Variance0.080360572
MonotonicityNot monotonic
2023-12-11T05:59:34.765624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2241047559 4
 
3.7%
127.2549664986 4
 
3.7%
127.5745444672 3
 
2.8%
127.0582966202 3
 
2.8%
127.2315671889 3
 
2.8%
127.6239819214 2
 
1.9%
126.8324156942 2
 
1.9%
126.7171624141 2
 
1.9%
127.63333365 2
 
1.9%
127.1974513021 2
 
1.9%
Other values (70) 77
72.0%
(Missing) 3
 
2.8%
ValueCountFrequency (%)
126.5645584345 1
0.9%
126.641373824 1
0.9%
126.7061098112 1
0.9%
126.7070509815 2
1.9%
126.7171624141 2
1.9%
126.744407821 1
0.9%
126.7725068873 1
0.9%
126.7753574649 1
0.9%
126.7797755191 1
0.9%
126.7867995803 2
1.9%
ValueCountFrequency (%)
127.7536725702 1
 
0.9%
127.671033248 1
 
0.9%
127.63333365 2
1.9%
127.6302518506 1
 
0.9%
127.6257273961 1
 
0.9%
127.6239819214 2
1.9%
127.5886137269 1
 
0.9%
127.5745444672 3
2.8%
127.5212861258 1
 
0.9%
127.5150104334 1
 
0.9%

업태구분명정보
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing102
Missing (%)95.3%
Memory size988.0 B
2023-12-11T05:59:34.909731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length5.8
Min length2

Characters and Unicode

Total characters29
Distinct characters9
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

Unique2 ?
Unique (%)40.0%

Sample

1st row축산업
2nd row농업
3rd row축산분뇨 처리업
4th row축산분뇨 처리업
5th row축산분뇨 처리업
ValueCountFrequency (%)
축산분뇨 3
37.5%
처리업 3
37.5%
축산업 1
 
12.5%
농업 1
 
12.5%
2023-12-11T05:59:35.214383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 5
17.2%
축 4
13.8%
산 4
13.8%
분 3
10.3%
뇨 3
10.3%
3
10.3%
처 3
10.3%
리 3
10.3%
농 1
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26
89.7%
Space Separator 3
 
10.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5
19.2%
축 4
15.4%
산 4
15.4%
분 3
11.5%
뇨 3
11.5%
처 3
11.5%
리 3
11.5%
농 1
 
3.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26
89.7%
Common 3
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5
19.2%
축 4
15.4%
산 4
15.4%
분 3
11.5%
뇨 3
11.5%
처 3
11.5%
리 3
11.5%
농 1
 
3.8%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26
89.7%
ASCII 3
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 5
19.2%
축 4
15.4%
산 4
15.4%
분 3
11.5%
뇨 3
11.5%
처 3
11.5%
리 3
11.5%
농 1
 
3.8%
ASCII
ValueCountFrequency (%)
3
100.0%

X좌표값
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing89
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean208465.66
Minimum161514.97
Maximum256085.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:59:35.366868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161514.97
5-th percentile172229.78
Q1181106.16
median209496.98
Q3231318.99
95-th percentile251718.72
Maximum256085.29
Range94570.318
Interquartile range (IQR)50212.83

Descriptive statistics

Standard deviation30307.105
Coefficient of variation (CV)0.14538176
Kurtosis-1.4037909
Mean208465.66
Median Absolute Deviation (MAD)28287.422
Skewness0.09673629
Sum3752381.9
Variance9.1852063 × 108
MonotonicityNot monotonic
2023-12-11T05:59:35.493577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
250948.153089442 1
 
0.9%
181002.764594805 1
 
0.9%
217267.957370258 1
 
0.9%
177473.87188228 1
 
0.9%
174120.623233003 1
 
0.9%
185159.711686887 1
 
0.9%
175029.043253165 1
 
0.9%
244236.321211831 1
 
0.9%
245252.416638152 1
 
0.9%
161514.973108663 1
 
0.9%
Other values (8) 8
 
7.5%
(Missing) 89
83.2%
ValueCountFrequency (%)
161514.973108663 1
0.9%
174120.623233003 1
0.9%
175029.043253165 1
0.9%
177473.87188228 1
0.9%
181002.764594805 1
0.9%
181416.352355359 1
0.9%
185159.711686887 1
0.9%
200325.252435928 1
0.9%
202306.703130118 1
0.9%
216687.258556632 1
0.9%
ValueCountFrequency (%)
256085.290734068 1
0.9%
250948.153089442 1
0.9%
245252.416638152 1
0.9%
244236.321211831 1
0.9%
232928.113464391 1
0.9%
226491.624795773 1
0.9%
224135.463814687 1
0.9%
217267.957370258 1
0.9%
216687.258556632 1
0.9%
202306.703130118 1
0.9%

Y좌표값
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing89
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean448558.63
Minimum389145.68
Maximum503599.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:59:35.617859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum389145.68
5-th percentile391356.13
Q1408442.83
median460656.16
Q3480236.66
95-th percentile501610.24
Maximum503599.5
Range114453.82
Interquartile range (IQR)71793.829

Descriptive statistics

Standard deviation39712.486
Coefficient of variation (CV)0.088533544
Kurtosis-1.5971121
Mean448558.63
Median Absolute Deviation (MAD)33752.681
Skewness-0.20261107
Sum8074055.4
Variance1.5770815 × 109
MonotonicityNot monotonic
2023-12-11T05:59:35.742966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
403781.595888655 1
 
0.9%
411274.62149826 1
 
0.9%
501259.193198555 1
 
0.9%
474731.919596764 1
 
0.9%
474113.325210975 1
 
0.9%
481015.540975216 1
 
0.9%
479914.875368716 1
 
0.9%
404287.719543675 1
 
0.9%
480343.925718312 1
 
0.9%
455928.456409655 1
 
0.9%
Other values (8) 8
 
7.5%
(Missing) 89
83.2%
ValueCountFrequency (%)
389145.684404961 1
0.9%
391746.210875822 1
0.9%
403781.595888655 1
0.9%
404287.719543675 1
0.9%
407498.90524834 1
0.9%
411274.62149826 1
0.9%
421999.46860587 1
0.9%
438525.771668604 1
0.9%
455928.456409655 1
0.9%
465383.861687402 1
0.9%
ValueCountFrequency (%)
503599.502905062 1
0.9%
501259.193198555 1
0.9%
489504.830816519 1
0.9%
481015.540975216 1
0.9%
480343.925718312 1
0.9%
479914.875368716 1
0.9%
474731.919596764 1
0.9%
474113.325210975 1
0.9%
465383.861687402 1
0.9%
455928.456409655 1
0.9%

환경업무구분명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
89 
분뇨등관련영업관리
18 

Length

Max length9
Median length4
Mean length4.8411215
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분뇨등관련영업관리
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 89
83.2%
분뇨등관련영업관리 18
 
16.8%

Length

2023-12-11T05:59:35.876181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:59:35.986602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
83.2%
분뇨등관련영업관리 18
 
16.8%

업종구분명정보
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing102
Missing (%)95.3%
Memory size988.0 B
2023-12-11T05:59:36.117013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length5.8
Min length2

Characters and Unicode

Total characters29
Distinct characters9
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

Unique2 ?
Unique (%)40.0%

Sample

1st row축산업
2nd row농업
3rd row축산분뇨 처리업
4th row축산분뇨 처리업
5th row축산분뇨 처리업
ValueCountFrequency (%)
축산분뇨 3
37.5%
처리업 3
37.5%
축산업 1
 
12.5%
농업 1
 
12.5%
2023-12-11T05:59:36.391245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 5
17.2%
축 4
13.8%
산 4
13.8%
분 3
10.3%
뇨 3
10.3%
3
10.3%
처 3
10.3%
리 3
10.3%
농 1
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26
89.7%
Space Separator 3
 
10.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5
19.2%
축 4
15.4%
산 4
15.4%
분 3
11.5%
뇨 3
11.5%
처 3
11.5%
리 3
11.5%
농 1
 
3.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26
89.7%
Common 3
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5
19.2%
축 4
15.4%
산 4
15.4%
분 3
11.5%
뇨 3
11.5%
처 3
11.5%
리 3
11.5%
농 1
 
3.8%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26
89.7%
ASCII 3
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 5
19.2%
축 4
15.4%
산 4
15.4%
분 3
11.5%
뇨 3
11.5%
처 3
11.5%
리 3
11.5%
농 1
 
3.8%
ASCII
ValueCountFrequency (%)
3
100.0%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

주생산품명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

배출시설연간가동일수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
89 
0
18 

Length

Max length4
Median length4
Mean length3.4953271
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 89
83.2%
0 18
 
16.8%

Length

2023-12-11T05:59:36.511150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:59:36.614609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
83.2%
0 18
 
16.8%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

방지시설연간가동일수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
89 
0
18 

Length

Max length4
Median length4
Mean length3.4953271
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 89
83.2%
0 18
 
16.8%

Length

2023-12-11T05:59:36.727189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:59:36.839961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
83.2%
0 18
 
16.8%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값환경업무구분명업종구분명정보종별명주생산품명정보배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0가평군가평축산업협동조합2003-05-01<NA>3영업<NA>031-582-4111<NA>12420경기도 가평군 가평읍 가화로 55-17, 가평축산농협경기도 가평군 가평읍 대곡리 166-2 가평축산농협1242037.824542127.514704축산업245252.416638480343.925718분뇨등관련영업관리축산업<NA><NA><NA>0<NA>0
1가평군가평축산업협동조합20030501<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 55-12경기도 가평군 가평읍 대곡리 166-1번지47780437.82493127.51501<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2고양시(주)문화환경건설연구소20131224<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 원당로33번길 57 (주교동)경기도 고양시 덕양구 주교동 213-7번지41201037.657388126.829469<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시(주)문화환경건설연구소20120329<NA><NA>폐업 등20161229<NA><NA><NA>경기도 고양시 덕양구 원당로33번길 57 (주교동)경기도 고양시 덕양구 주교동 213-7번지41201037.657388126.829469<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4광주시(주)정화환경19990721<NA><NA>운영중20050111<NA><NA><NA>경기도 광주시 초월읍 설월길23번길 18경기도 광주시 초월읍 지월리 754-1번지46486337.425716127.283878<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5광주시(주)늘푸른환경19980624<NA><NA>운영중<NA><NA><NA><NA>경기도 광주시 경충대로 1882-7 (장지동)경기도 광주시 장지동 539번지46407037.406806127.231567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6광주시(주)늘푸른환경20040916<NA><NA>운영중<NA><NA><NA><NA>경기도 광주시 오포읍 매자리길 94-45경기도 광주시 오포읍 매산리 191-11번지1279837.35045127.255697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7광주시청수정화조20041117<NA><NA>운영중<NA><NA><NA><NA>경기도 광주시 경안로 52 (경안동)경기도 광주시 경안동 38-44번지46480137.408741127.255282<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8광주시(주)초월위생19990727<NA><NA>운영중<NA><NA><NA><NA>경기도 광주시 경충대로 1882-7 (장지동)경기도 광주시 장지동 539번지46407037.406806127.231567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9광주시광주평애미화(주)19990721<NA><NA>운영중<NA><NA><NA><NA>경기도 광주시 곤지암읍 경충대로 310경기도 광주시 곤지암읍 수양리 466-6번지46487437.337351127.368618<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값환경업무구분명업종구분명정보종별명주생산품명정보배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
97포천시농업회사법인 친환경두엄바이오(주)20140108<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 관인면 북원로 455경기도 포천시 관인면 사정리 322-2번지48793238.130363127.253097<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
98포천시금주산업20101110<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 창수면 옥수로298번길 51경기도 포천시 창수면 주원리 75번지48792238.011696127.189999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
99포천시포천축산업협동조합20020302<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 신북면 중앙로 369경기도 포천시 신북면 가채리 254-5번지48791137.916634127.213914<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
100포천시영평영송영농조합법인20130228<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 영중면 가영로535번길 155경기도 포천시 영중면 영평리 712번지48788638.01386127.197451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
101하남시(합)원진정화19981127<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 대청로22번길 27 (신장동)경기도 하남시 신장동 526-4번지 동신빌딩 301호46580937.539631127.215825<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
102화성시그린화성(주)2012-03-06<NA>3영업<NA>0313553681<NA>445-862경기도 화성시 마도면 화성로 904, 102호경기도 화성시 마도면 두곡리 488-3445-86237.203141126.7868<NA>181002.764595411274.621498분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
103화성시(주)성원환경20170825<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 팔탄면 푸른들판로 616-18527, 8동 2층 211호경기도 화성시 팔탄면 구장리 146-1번지1852737.163906126.897827<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
104화성시화성양돈영농조합20120207<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 장안면 고해길 27경기도 화성시 장안면 독정리 34-6번지44594437.068312126.865085<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
105화성시농업회사법인 그린화성(주)20120306<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 마도면 화성로 904, 102호경기도 화성시 마도면 두곡리 488-3번지44586237.203141126.7868<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
106화성시진보개발20080611<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 우정읍 남양만로 783-36경기도 화성시 우정읍 석천리 산52-1번지1857237.054647126.793444<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>