Overview

Dataset statistics

Number of variables33
Number of observations184
Missing cells2196
Missing cells (%)36.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.3 KiB
Average record size in memory279.7 B

Variable types

Numeric3
Categorical11
DateTime5
Unsupported8
Text6

Dataset

Description충청남도 분뇨수집운반업 현황(사업장명, 소재지주소, 전화번호, 인허가 일자, 인허가 취소일자, 영업상태, 위도, 경도 정보 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=318&beforeMenuCd=DOM_000000201001001000&publicdatapk=15092635

Alerts

개방서비스명 has constant value ""Constant
휴업시작일자 has constant value ""Constant
환경업무구분명 has constant value ""Constant
업태구분명 is highly imbalanced (61.7%)Imbalance
업종구분명 is highly imbalanced (61.7%)Imbalance
인허가취소일자 has 184 (100.0%) missing valuesMissing
폐업일자 has 96 (52.2%) missing valuesMissing
휴업시작일자 has 183 (99.5%) missing valuesMissing
휴업종료일자 has 184 (100.0%) missing valuesMissing
재개업일자 has 184 (100.0%) missing valuesMissing
소재지전화 has 103 (56.0%) missing valuesMissing
소재지면적 has 184 (100.0%) missing valuesMissing
소재지우편번호 has 38 (20.7%) missing valuesMissing
소재지전체주소 has 3 (1.6%) missing valuesMissing
도로명전체주소 has 83 (45.1%) missing valuesMissing
도로명우편번호 has 116 (63.0%) missing valuesMissing
좌표정보(x) has 51 (27.7%) missing valuesMissing
좌표정보(y) has 51 (27.7%) missing valuesMissing
종별명 has 184 (100.0%) missing valuesMissing
주생산품명 has 184 (100.0%) missing valuesMissing
배출시설조업시간 has 184 (100.0%) missing valuesMissing
방지시설조업시간 has 184 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 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
주생산품명 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 started2024-01-09 20:53:01.201120
Analysis finished2024-01-09 20:53:01.728234
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.5
Minimum1
Maximum184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T05:53:01.786450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.15
Q146.75
median92.5
Q3138.25
95-th percentile174.85
Maximum184
Range183
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation53.260367
Coefficient of variation (CV)0.57578775
Kurtosis-1.2
Mean92.5
Median Absolute Deviation (MAD)46
Skewness0
Sum17020
Variance2836.6667
MonotonicityStrictly increasing
2024-01-10T05:53:01.893878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
128 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
분뇨수집운반업
184 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨수집운반업 184
100.0%

Length

2024-01-10T05:53:02.006305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:02.106865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨수집운반업 184
100.0%

인허가일자
Date

Distinct147
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1980-09-30 00:00:00
Maximum2023-01-20 00:00:00
2024-01-10T05:53:02.212981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:02.357224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
88 
1
87 
4
 
8
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 88
47.8%
1 87
47.3%
4 8
 
4.3%
2 1
 
0.5%

Length

2024-01-10T05:53:02.488246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:02.596768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 88
47.8%
1 87
47.3%
4 8
 
4.3%
2 1
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
88 
영업/정상
87 
취소/말소/만료/정지/중지
 
8
휴업
 
1

Length

Max length14
Median length5
Mean length3.9402174
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 88
47.8%
영업/정상 87
47.3%
취소/말소/만료/정지/중지 8
 
4.3%
휴업 1
 
0.5%

Length

2024-01-10T05:53:02.714981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:02.828123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 88
47.8%
영업/정상 87
47.3%
취소/말소/만료/정지/중지 8
 
4.3%
휴업 1
 
0.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2
88 
11
87 
4
 
8
1
 
1

Length

Max length2
Median length1
Mean length1.4728261
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
2 88
47.8%
11 87
47.3%
4 8
 
4.3%
1 1
 
0.5%

Length

2024-01-10T05:53:02.925138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:03.018715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 88
47.8%
11 87
47.3%
4 8
 
4.3%
1 1
 
0.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
88 
영업
87 
폐쇄
 
8
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 88
47.8%
영업 87
47.3%
폐쇄 8
 
4.3%
휴업 1
 
0.5%

Length

2024-01-10T05:53:03.119000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:03.213679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 88
47.8%
영업 87
47.3%
폐쇄 8
 
4.3%
휴업 1
 
0.5%

폐업일자
Date

MISSING 

Distinct59
Distinct (%)67.0%
Missing96
Missing (%)52.2%
Memory size1.6 KiB
Minimum2000-03-17 00:00:00
Maximum2021-06-21 00:00:00
2024-01-10T05:53:03.319349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:03.434614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing183
Missing (%)99.5%
Memory size1.6 KiB
Minimum2007-02-01 00:00:00
Maximum2007-02-01 00:00:00
2024-01-10T05:53:03.525007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:03.599070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

소재지전화
Text

MISSING 

Distinct72
Distinct (%)88.9%
Missing103
Missing (%)56.0%
Memory size1.6 KiB
2024-01-10T05:53:03.786570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.185185
Min length7

Characters and Unicode

Total characters825
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)77.8%

Sample

1st row041-553-5560
2nd row041-551-7024
3rd row041-578-2616
4th row041-621-8259
5th row041-583-3718
ValueCountFrequency (%)
041 10
 
10.3%
419421288 2
 
2.1%
956-3000 2
 
2.1%
9560098 2
 
2.1%
956-8880 2
 
2.1%
041-669-9912 2
 
2.1%
3325051 2
 
2.1%
041-881-0456 2
 
2.1%
6743434 2
 
2.1%
041-572-9148 2
 
2.1%
Other values (69) 69
71.1%
2024-01-10T05:53:04.116672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 110
13.3%
1 108
13.1%
5 95
11.5%
0 92
11.2%
- 74
9.0%
6 73
8.8%
3 69
8.4%
8 57
6.9%
9 49
5.9%
2 44
 
5.3%
Other values (3) 54
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 734
89.0%
Dash Punctuation 74
 
9.0%
Space Separator 16
 
1.9%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 110
15.0%
1 108
14.7%
5 95
12.9%
0 92
12.5%
6 73
9.9%
3 69
9.4%
8 57
7.8%
9 49
6.7%
2 44
 
6.0%
7 37
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 825
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 110
13.3%
1 108
13.1%
5 95
11.5%
0 92
11.2%
- 74
9.0%
6 73
8.8%
3 69
8.4%
8 57
6.9%
9 49
5.9%
2 44
 
5.3%
Other values (3) 54
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 110
13.3%
1 108
13.1%
5 95
11.5%
0 92
11.2%
- 74
9.0%
6 73
8.8%
3 69
8.4%
8 57
6.9%
9 49
5.9%
2 44
 
5.3%
Other values (3) 54
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Text

MISSING 

Distinct89
Distinct (%)61.0%
Missing38
Missing (%)20.7%
Memory size1.6 KiB
2024-01-10T05:53:04.587639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1022
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

Unique54 ?
Unique (%)37.0%

Sample

1st row330-080
2nd row330-816
3rd row330-891
4th row330-815
5th row330-170
ValueCountFrequency (%)
312-802 6
 
4.1%
340-805 4
 
2.7%
350-800 4
 
2.7%
345-800 4
 
2.7%
325-903 4
 
2.7%
320-830 4
 
2.7%
314-801 4
 
2.7%
320-120 3
 
2.1%
343-810 3
 
2.1%
357-900 3
 
2.1%
Other values (79) 107
73.3%
2024-01-10T05:53:04.929600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 223
21.8%
3 213
20.8%
- 146
14.3%
8 90
8.8%
2 88
 
8.6%
1 75
 
7.3%
5 62
 
6.1%
4 52
 
5.1%
9 38
 
3.7%
6 22
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 876
85.7%
Dash Punctuation 146
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 223
25.5%
3 213
24.3%
8 90
10.3%
2 88
 
10.0%
1 75
 
8.6%
5 62
 
7.1%
4 52
 
5.9%
9 38
 
4.3%
6 22
 
2.5%
7 13
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1022
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 223
21.8%
3 213
20.8%
- 146
14.3%
8 90
8.8%
2 88
 
8.6%
1 75
 
7.3%
5 62
 
6.1%
4 52
 
5.1%
9 38
 
3.7%
6 22
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 223
21.8%
3 213
20.8%
- 146
14.3%
8 90
8.8%
2 88
 
8.6%
1 75
 
7.3%
5 62
 
6.1%
4 52
 
5.1%
9 38
 
3.7%
6 22
 
2.2%

소재지전체주소
Text

MISSING 

Distinct139
Distinct (%)76.8%
Missing3
Missing (%)1.6%
Memory size1.6 KiB
2024-01-10T05:53:05.222311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length22.088398
Min length16

Characters and Unicode

Total characters3998
Distinct characters173
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)59.1%

Sample

1st row충청남도 천안시 동남구 원성동 571-8
2nd row충청남도 천안시 동남구 풍세면 용정리 152-16
3rd row충청남도 천안시 동남구 구룡동 1 화물터미널 330호
4th row충청남도 천안시 동남구 원성동 571-8
5th row충청남도 천안시 서북구 직산읍 삼은리 263-68
ValueCountFrequency (%)
충청남도 181
 
19.9%
논산시 30
 
3.3%
천안시 26
 
2.9%
공주시 17
 
1.9%
서천군 16
 
1.8%
동남구 15
 
1.7%
홍성군 13
 
1.4%
아산시 12
 
1.3%
당진시 11
 
1.2%
장항읍 11
 
1.2%
Other values (333) 576
63.4%
2024-01-10T05:53:05.624417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
 
18.2%
남 206
 
5.2%
청 202
 
5.1%
도 183
 
4.6%
충 181
 
4.5%
1 145
 
3.6%
- 142
 
3.6%
2 130
 
3.3%
리 129
 
3.2%
시 113
 
2.8%
Other values (163) 1840
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2368
59.2%
Decimal Number 758
 
19.0%
Space Separator 727
 
18.2%
Dash Punctuation 142
 
3.6%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 206
 
8.7%
청 202
 
8.5%
도 183
 
7.7%
충 181
 
7.6%
리 129
 
5.4%
시 113
 
4.8%
산 103
 
4.3%
동 93
 
3.9%
읍 83
 
3.5%
군 69
 
2.9%
Other values (148) 1006
42.5%
Decimal Number
ValueCountFrequency (%)
1 145
19.1%
2 130
17.2%
3 92
12.1%
5 78
10.3%
4 62
8.2%
0 60
7.9%
6 53
 
7.0%
7 53
 
7.0%
9 43
 
5.7%
8 42
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2368
59.2%
Common 1629
40.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 206
 
8.7%
청 202
 
8.5%
도 183
 
7.7%
충 181
 
7.6%
리 129
 
5.4%
시 113
 
4.8%
산 103
 
4.3%
동 93
 
3.9%
읍 83
 
3.5%
군 69
 
2.9%
Other values (148) 1006
42.5%
Common
ValueCountFrequency (%)
727
44.6%
1 145
 
8.9%
- 142
 
8.7%
2 130
 
8.0%
3 92
 
5.6%
5 78
 
4.8%
4 62
 
3.8%
0 60
 
3.7%
6 53
 
3.3%
7 53
 
3.3%
Other values (4) 87
 
5.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2368
59.2%
ASCII 1630
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
44.6%
1 145
 
8.9%
- 142
 
8.7%
2 130
 
8.0%
3 92
 
5.6%
5 78
 
4.8%
4 62
 
3.8%
0 60
 
3.7%
6 53
 
3.3%
7 53
 
3.3%
Other values (5) 88
 
5.4%
Hangul
ValueCountFrequency (%)
남 206
 
8.7%
청 202
 
8.5%
도 183
 
7.7%
충 181
 
7.6%
리 129
 
5.4%
시 113
 
4.8%
산 103
 
4.3%
동 93
 
3.9%
읍 83
 
3.5%
군 69
 
2.9%
Other values (148) 1006
42.5%

도로명전체주소
Text

MISSING 

Distinct78
Distinct (%)77.2%
Missing83
Missing (%)45.1%
Memory size1.6 KiB
2024-01-10T05:53:05.869768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length25.584158
Min length19

Characters and Unicode

Total characters2584
Distinct characters182
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

Unique61 ?
Unique (%)60.4%

Sample

1st row충청남도 천안시 동남구 고재15길 19-6 (원성동)
2nd row충청남도 천안시 동남구 청당산업길 33 (구룡동,화물터미널 330호)
3rd row충청남도 천안시 동남구 고재15길 19-6 (원성동)
4th row충청남도 천안시 서북구 직산읍 천안대로 1461-14
5th row충청남도 천안시 서북구 두정공원2길 26, 107동 1104호 (두정동, 두정역범양레우스 알파)
ValueCountFrequency (%)
충청남도 101
 
18.0%
천안시 18
 
3.2%
공주시 15
 
2.7%
동남구 11
 
2.0%
청양군 9
 
1.6%
아산시 8
 
1.4%
서북구 7
 
1.2%
예산군 7
 
1.2%
예산읍 6
 
1.1%
서산시 6
 
1.1%
Other values (245) 374
66.5%
2024-01-10T05:53:06.240650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
 
18.0%
청 124
 
4.8%
1 123
 
4.8%
남 120
 
4.6%
충 106
 
4.1%
도 102
 
3.9%
시 65
 
2.5%
동 63
 
2.4%
로 62
 
2.4%
2 60
 
2.3%
Other values (172) 1293
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1543
59.7%
Space Separator 466
 
18.0%
Decimal Number 435
 
16.8%
Dash Punctuation 41
 
1.6%
Open Punctuation 38
 
1.5%
Close Punctuation 38
 
1.5%
Other Punctuation 22
 
0.9%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 124
 
8.0%
남 120
 
7.8%
충 106
 
6.9%
도 102
 
6.6%
시 65
 
4.2%
동 63
 
4.1%
로 62
 
4.0%
길 53
 
3.4%
산 51
 
3.3%
읍 41
 
2.7%
Other values (156) 756
49.0%
Decimal Number
ValueCountFrequency (%)
1 123
28.3%
2 60
13.8%
3 46
 
10.6%
5 37
 
8.5%
6 33
 
7.6%
7 33
 
7.6%
4 32
 
7.4%
0 32
 
7.4%
9 22
 
5.1%
8 17
 
3.9%
Space Separator
ValueCountFrequency (%)
466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1543
59.7%
Common 1040
40.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 124
 
8.0%
남 120
 
7.8%
충 106
 
6.9%
도 102
 
6.6%
시 65
 
4.2%
동 63
 
4.1%
로 62
 
4.0%
길 53
 
3.4%
산 51
 
3.3%
읍 41
 
2.7%
Other values (156) 756
49.0%
Common
ValueCountFrequency (%)
466
44.8%
1 123
 
11.8%
2 60
 
5.8%
3 46
 
4.4%
- 41
 
3.9%
( 38
 
3.7%
) 38
 
3.7%
5 37
 
3.6%
6 33
 
3.2%
7 33
 
3.2%
Other values (5) 125
 
12.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1543
59.7%
ASCII 1041
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
466
44.8%
1 123
 
11.8%
2 60
 
5.8%
3 46
 
4.4%
- 41
 
3.9%
( 38
 
3.7%
) 38
 
3.7%
5 37
 
3.6%
6 33
 
3.2%
7 33
 
3.2%
Other values (6) 126
 
12.1%
Hangul
ValueCountFrequency (%)
청 124
 
8.0%
남 120
 
7.8%
충 106
 
6.9%
도 102
 
6.6%
시 65
 
4.2%
동 63
 
4.1%
로 62
 
4.0%
길 53
 
3.4%
산 51
 
3.3%
읍 41
 
2.7%
Other values (156) 756
49.0%

도로명우편번호
Text

MISSING 

Distinct51
Distinct (%)75.0%
Missing116
Missing (%)63.0%
Memory size1.6 KiB
2024-01-10T05:53:06.434341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6
Min length5

Characters and Unicode

Total characters408
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

Unique41 ?
Unique (%)60.3%

Sample

1st row31187
2nd row31187
3rd row331-816
4th row31112
5th row31213
ValueCountFrequency (%)
345-804 5
 
7.4%
314-801 4
 
5.9%
356-808 3
 
4.4%
325-903 3
 
4.4%
32543 2
 
2.9%
33494 2
 
2.9%
31187 2
 
2.9%
321-932 2
 
2.9%
31786 2
 
2.9%
33670 2
 
2.9%
Other values (41) 41
60.3%
2024-01-10T05:53:06.765021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 108
26.5%
1 57
14.0%
2 37
 
9.1%
0 36
 
8.8%
- 34
 
8.3%
8 34
 
8.3%
4 33
 
8.1%
5 23
 
5.6%
9 18
 
4.4%
6 16
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 374
91.7%
Dash Punctuation 34
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 108
28.9%
1 57
15.2%
2 37
 
9.9%
0 36
 
9.6%
8 34
 
9.1%
4 33
 
8.8%
5 23
 
6.1%
9 18
 
4.8%
6 16
 
4.3%
7 12
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 108
26.5%
1 57
14.0%
2 37
 
9.1%
0 36
 
8.8%
- 34
 
8.3%
8 34
 
8.3%
4 33
 
8.1%
5 23
 
5.6%
9 18
 
4.4%
6 16
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 108
26.5%
1 57
14.0%
2 37
 
9.1%
0 36
 
8.8%
- 34
 
8.3%
8 34
 
8.3%
4 33
 
8.1%
5 23
 
5.6%
9 18
 
4.4%
6 16
 
3.9%

사업장명
Text

Distinct129
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T05:53:07.038133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.2554348
Min length3

Characters and Unicode

Total characters967
Distinct characters114
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

Unique88 ?
Unique (%)47.8%

Sample

1st row천안정화조
2nd row정화회
3rd row백두산환경
4th row우리환경
5th row푸른환경
ValueCountFrequency (%)
서해정화사 5
 
2.7%
금강정화사 4
 
2.2%
그린정화사 3
 
1.6%
위생기업(합 3
 
1.6%
서해정화조 3
 
1.6%
합)예산환경공사 3
 
1.6%
현대위생 3
 
1.6%
서산환경 3
 
1.6%
백제정화사 3
 
1.6%
성신정화조 3
 
1.6%
Other values (120) 153
82.3%
2024-01-10T05:53:07.425396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 98
 
10.1%
정 90
 
9.3%
사 56
 
5.8%
환 48
 
5.0%
경 47
 
4.9%
조 43
 
4.4%
생 41
 
4.2%
위 41
 
4.2%
산 39
 
4.0%
서 22
 
2.3%
Other values (104) 442
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 923
95.4%
Close Punctuation 20
 
2.1%
Open Punctuation 20
 
2.1%
Space Separator 2
 
0.2%
Decimal Number 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 98
 
10.6%
정 90
 
9.8%
사 56
 
6.1%
환 48
 
5.2%
경 47
 
5.1%
조 43
 
4.7%
생 41
 
4.4%
위 41
 
4.4%
산 39
 
4.2%
서 22
 
2.4%
Other values (99) 398
43.1%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 923
95.4%
Common 44
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 98
 
10.6%
정 90
 
9.8%
사 56
 
6.1%
환 48
 
5.2%
경 47
 
5.1%
조 43
 
4.7%
생 41
 
4.4%
위 41
 
4.4%
산 39
 
4.2%
서 22
 
2.4%
Other values (99) 398
43.1%
Common
ValueCountFrequency (%)
) 20
45.5%
( 20
45.5%
2
 
4.5%
1 1
 
2.3%
, 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 923
95.4%
ASCII 44
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 98
 
10.6%
정 90
 
9.8%
사 56
 
6.1%
환 48
 
5.2%
경 47
 
5.1%
조 43
 
4.7%
생 41
 
4.4%
위 41
 
4.4%
산 39
 
4.2%
서 22
 
2.4%
Other values (99) 398
43.1%
ASCII
ValueCountFrequency (%)
) 20
45.5%
( 20
45.5%
2
 
4.5%
1 1
 
2.3%
, 1
 
2.3%

최종수정시점
Date

Distinct181
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2000-09-14 18:25:00
Maximum2023-03-22 18:11:00
2024-01-10T05:53:07.546651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:07.671076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
113 
U
71 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 113
61.4%
U 71
38.6%

Length

2024-01-10T05:53:07.784089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:07.869223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 113
61.4%
u 71
38.6%

데이터갱신일자
Date

Distinct68
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:00
Maximum2023-03-24 02:40:00
2024-01-10T05:53:07.958901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:08.066721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
142 
분뇨 처리업
20 
하수처리, 폐기물처리 및 청소관련 서비스업
 
10
분뇨 및 축산폐기물 처리업
 
6
그외 기타 분류안된 모든 서비스업
 
1
Other values (5)
 
5

Length

Max length23
Median length4
Mean length5.8586957
Min length4

Unique

Unique6 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 142
77.2%
분뇨 처리업 20
 
10.9%
하수처리, 폐기물처리 및 청소관련 서비스업 10
 
5.4%
분뇨 및 축산폐기물 처리업 6
 
3.3%
그외 기타 분류안된 모든 서비스업 1
 
0.5%
축산폐기물 처리업 1
 
0.5%
폐기물 처리업 1
 
0.5%
하수, 폐수 및 분뇨 처리업 1
 
0.5%
축산관련 서비스업 1
 
0.5%
하수, 분뇨 및 축산폐기물 처리업 1
 
0.5%

Length

2024-01-10T05:53:08.196872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:08.305262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
51.3%
처리업 30
 
10.8%
분뇨 28
 
10.1%
및 18
 
6.5%
서비스업 12
 
4.3%
하수처리 10
 
3.6%
폐기물처리 10
 
3.6%
청소관련 10
 
3.6%
축산폐기물 8
 
2.9%
하수 2
 
0.7%
Other values (7) 7
 
2.5%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)75.9%
Missing51
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean193802.46
Minimum135168.51
Maximum243775.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T05:53:08.427478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135168.51
5-th percentile149638.94
Q1172477.37
median203546.91
Q3210873.07
95-th percentile219686.78
Maximum243775.66
Range108607.15
Interquartile range (IQR)38395.699

Descriptive statistics

Standard deviation23655.968
Coefficient of variation (CV)0.12206227
Kurtosis-0.25907253
Mean193802.46
Median Absolute Deviation (MAD)11022.392
Skewness-0.60434519
Sum25775727
Variance5.5960484 × 108
MonotonicityNot monotonic
2024-01-10T05:53:08.545753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172133.8613 4
 
2.2%
210873.0711 4
 
2.2%
149638.9395 3
 
1.6%
138289.4821 3
 
1.6%
208864.918 3
 
1.6%
217587.258 2
 
1.1%
207334.5141 2
 
1.1%
208051.5297 2
 
1.1%
208339.736 2
 
1.1%
208056.8799 2
 
1.1%
Other values (91) 106
57.6%
(Missing) 51
27.7%
ValueCountFrequency (%)
135168.508 1
 
0.5%
137229.6882 1
 
0.5%
138289.4821 3
1.6%
149638.9395 3
1.6%
150930.7579 1
 
0.5%
152868.9421 1
 
0.5%
154000.6084 1
 
0.5%
159283.5156 1
 
0.5%
160091.9789 1
 
0.5%
161166.8913 1
 
0.5%
ValueCountFrequency (%)
243775.661 1
0.5%
243672.2437 1
0.5%
243002.2518 1
0.5%
228214.8831 1
0.5%
221693.4107 1
0.5%
221065.4108 1
0.5%
219686.7844 2
1.1%
219659.5964 1
0.5%
218539.5486 1
0.5%
217587.258 2
1.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)75.9%
Missing51
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean332061.43
Minimum279041.4
Maximum380548.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T05:53:08.664510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum279041.4
5-th percentile283445.87
Q1301889.49
median328630.11
Q3362028.64
95-th percentile374457.49
Maximum380548.83
Range101507.43
Interquartile range (IQR)60139.149

Descriptive statistics

Standard deviation30387.099
Coefficient of variation (CV)0.091510472
Kurtosis-1.3545859
Mean332061.43
Median Absolute Deviation (MAD)29436.368
Skewness-0.10494258
Sum44164171
Variance9.2337576 × 108
MonotonicityNot monotonic
2024-01-10T05:53:08.784396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
279079.8024 4
 
2.2%
327899.6026 4
 
2.2%
363409.4255 3
 
1.6%
361063.9573 3
 
1.6%
289846.503 3
 
1.6%
300963.6534 2
 
1.1%
299526.4871 2
 
1.1%
301889.4868 2
 
1.1%
299073.9368 2
 
1.1%
300725.4136 2
 
1.1%
Other values (91) 106
57.6%
(Missing) 51
27.7%
ValueCountFrequency (%)
279041.3967 1
 
0.5%
279079.092 2
1.1%
279079.8024 4
2.2%
286356.5899 1
 
0.5%
289507.6808 1
 
0.5%
289846.503 3
1.6%
289869.7655 1
 
0.5%
291598.6422 1
 
0.5%
292102.4086 1
 
0.5%
294533.2929 1
 
0.5%
ValueCountFrequency (%)
380548.8281 1
0.5%
379360.8818 1
0.5%
379071.1764 1
0.5%
375830.745 1
0.5%
374962.654 1
0.5%
374522.5884 2
1.1%
374414.0841 1
0.5%
374379.8734 1
0.5%
370474.7646 1
0.5%
370430.2871 1
0.5%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
분뇨등관련영업관리
184 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등관련영업관리 184
100.0%

Length

2024-01-10T05:53:08.891845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:08.975558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등관련영업관리 184
100.0%

업종구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
142 
분뇨 처리업
20 
하수처리, 폐기물처리 및 청소관련 서비스업
 
10
분뇨 및 축산폐기물 처리업
 
6
그외 기타 분류안된 모든 서비스업
 
1
Other values (5)
 
5

Length

Max length23
Median length4
Mean length5.8586957
Min length4

Unique

Unique6 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 142
77.2%
분뇨 처리업 20
 
10.9%
하수처리, 폐기물처리 및 청소관련 서비스업 10
 
5.4%
분뇨 및 축산폐기물 처리업 6
 
3.3%
그외 기타 분류안된 모든 서비스업 1
 
0.5%
축산폐기물 처리업 1
 
0.5%
폐기물 처리업 1
 
0.5%
하수, 폐수 및 분뇨 처리업 1
 
0.5%
축산관련 서비스업 1
 
0.5%
하수, 분뇨 및 축산폐기물 처리업 1
 
0.5%

Length

2024-01-10T05:53:09.089878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:09.196843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
51.3%
처리업 30
 
10.8%
분뇨 28
 
10.1%
및 18
 
6.5%
서비스업 12
 
4.3%
하수처리 10
 
3.6%
폐기물처리 10
 
3.6%
청소관련 10
 
3.6%
축산폐기물 8
 
2.9%
하수 2
 
0.7%
Other values (7) 7
 
2.5%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

배출시설연간가동일수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
136 
0
48 

Length

Max length4
Median length4
Mean length3.2173913
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 136
73.9%
0 48
 
26.1%

Length

2024-01-10T05:53:09.330821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:09.418703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
73.9%
0 48
 
26.1%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing184
Missing (%)100.0%
Memory size1.7 KiB

방지시설연간가동일수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
136 
0
48 

Length

Max length4
Median length4
Mean length3.2173913
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 136
73.9%
0 48
 
26.1%

Length

2024-01-10T05:53:09.512712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:09.601300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
73.9%
0 48
 
26.1%

Sample

번호개방서비스명인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01분뇨수집운반업1999-03-10<NA>1영업/정상11영업<NA><NA><NA><NA>041-553-5560<NA><NA>충청남도 천안시 동남구 원성동 571-8충청남도 천안시 동남구 고재15길 19-6 (원성동)31187천안정화조2023-01-10 13:27U2023-01-12 2:40<NA>214327.9759366691.8506분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
12분뇨수집운반업1986-01-11<NA>1영업/정상11영업<NA><NA><NA><NA>041-551-7024<NA><NA>충청남도 천안시 동남구 풍세면 용정리 152-16<NA><NA>정화회2021-08-19 15:46U2021-08-21 2:40<NA>211155.9208360495.2929분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
23분뇨수집운반업2005-10-18<NA>1영업/정상11영업<NA><NA><NA><NA>041-578-2616<NA>330-080충청남도 천안시 동남구 구룡동 1 화물터미널 330호충청남도 천안시 동남구 청당산업길 33 (구룡동,화물터미널 330호)<NA>백두산환경2022-11-03 14:54U2022-11-05 2:40<NA>214569.3017362765.9928분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
34분뇨수집운반업2001-03-27<NA>1영업/정상11영업<NA><NA><NA><NA>041-621-8259<NA><NA>충청남도 천안시 동남구 원성동 571-8충청남도 천안시 동남구 고재15길 19-6 (원성동)31187우리환경2021-10-28 10:06U2021-10-30 2:40<NA>214327.9759366691.8506분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
45분뇨수집운반업2002-01-22<NA>1영업/정상11영업<NA><NA><NA><NA>041-583-3718<NA>330-816충청남도 천안시 서북구 직산읍 삼은리 263-68충청남도 천안시 서북구 직산읍 천안대로 1461-14331-816푸른환경2021-03-09 13:17U2021-03-11 2:40<NA>213036.9095374379.8734분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
56분뇨수집운반업2005-04-14<NA>1영업/정상11영업<NA><NA><NA><NA>041-576-8947<NA><NA>충청남도 천안시 서북구 두정동 399-1 두정역범양레우스 알파충청남도 천안시 서북구 두정공원2길 26, 107동 1104호 (두정동, 두정역범양레우스 알파)31112대한환경2021-10-21 13:30U2021-10-23 2:40<NA>213800.6893370474.7646분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
67분뇨수집운반업2003-02-06<NA>1영업/정상11영업<NA><NA><NA><NA>041-585-1307<NA><NA>충청남도 천안시 동남구 풍세면 남관리 81충청남도 천안시 동남구 풍세면 통미2길 3531213입장위생2021-10-28 10:13U2021-10-30 2:40<NA>211077.7334361740.6836분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
78분뇨수집운반업2005-10-25<NA>1영업/정상11영업<NA><NA><NA><NA>041-572-9148<NA><NA>충청남도 천안시 동남구 청당동 466 청수꿈에그린 101동 2402호충청남도 천안시 동남구 청수14로 13, 101동 2402호 (청당동, 청수꿈에그린)31200온양환경2022-06-20 18:52U2022-06-22 2:40<NA>213099.1675364955.7685분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
89분뇨수집운반업2003-08-28<NA>1영업/정상11영업<NA><NA><NA><NA>041-564-1337<NA><NA>충청남도 천안시 동남구 목천읍 신계리 127-2 협성엠파이어아파트충청남도 천안시 동남구 목천읍 충절로 874, 103동 1101호 (협성엠파이어아파트)31233병천환경2021-10-28 10:08U2021-10-30 2:40<NA>218539.5486363317.3692분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
910분뇨수집운반업2004-06-04<NA>1영업/정상11영업<NA><NA><NA><NA>041-573-5710<NA>330-891충청남도 천안시 동남구 성남면 석곡리 330-1충청남도 천안시 동남구 성남면 석곡3길 20-20330-891충무환경2022-10-24 14:04U2022-10-26 2:40<NA>219659.5964359495.1779분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
번호개방서비스명인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
174175분뇨수집운반업1985-08-20<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>충청남도 당진시 대덕동 1022-2충청남도 당진시 아미로 675-1 (대덕동)31786당진정화조2020-06-01 17:13U2020-06-04 2:40<NA>167984.2814374522.5884분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
175176분뇨수집운반업2004-02-18<NA>1영업/정상11영업<NA><NA><NA><NA>041-362-2296<NA><NA>충청남도 당진시 합덕읍 운산리 561충청남도 당진시 합덕읍 벌말길 73-531811합덕정화조2020-12-25 14:27U2020-12-27 2:40분뇨 처리업178945.8884366818.0766분뇨등관련영업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
176177분뇨수집운반업2020-10-26<NA>1영업/정상11영업<NA><NA><NA><NA>041-352-0106<NA><NA>충청남도 당진시 대덕동 1022-2충청남도 당진시 아미로 675-1 (대덕동)31786당진정화조2021-02-01 13:26U2021-02-03 2:40분뇨 처리업167984.2814374522.5884분뇨등관련영업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
177178분뇨수집운반업1999-05-28<NA>3폐업2폐업2007-02-01<NA><NA><NA><NA><NA>343-800충청남도 당진시 대덕동 404<NA><NA>대덕정화조2009-03-13 13:02I2018-08-31 23:59<NA>168961.1094375830.745분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
178179분뇨수집운반업1999-10-05<NA>3폐업2폐업2011-04-14<NA><NA><NA><NA><NA>343-810충청남도 당진시 신평면 금천리 317-10<NA><NA>서해정화조2020-06-12 9:06U2020-06-14 2:40<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
179180분뇨수집운반업1999-10-05<NA>3폐업2폐업2011-04-14<NA><NA><NA><NA><NA>343-810충청남도 당진시 신평면 금천리 317-10<NA><NA>서해정화조2020-06-12 9:07U2020-06-14 2:40<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
180181분뇨수집운반업1999-11-15<NA>3폐업2폐업2011-04-14<NA><NA><NA><NA><NA>343-900충청남도 당진시 합덕읍 운산리 265-7<NA><NA>성신정화조2020-06-12 9:08U2020-06-14 2:40<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
181182분뇨수집운반업1999-11-15<NA>3폐업2폐업2011-04-14<NA><NA><NA><NA><NA>343-900충청남도 당진시 합덕읍 운산리 265-7<NA><NA>성신정화조2011-04-14 14:48I2018-08-31 23:59<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
182183분뇨수집운반업1999-10-05<NA>3폐업2폐업2011-04-14<NA><NA><NA><NA><NA>343-810충청남도 당진시 신평면 금천리<NA><NA>서해정화조2020-06-12 9:12I2020-06-14 0:23<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
183184분뇨수집운반업1999-11-15<NA>3폐업2폐업2011-04-14<NA><NA><NA><NA><NA>343-900충청남도 당진시 합덕읍 운산리<NA><NA>성신정화조2020-06-12 9:12I2020-06-14 0:23<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>