Overview

Dataset statistics

Number of variables36
Number of observations114
Missing cells1447
Missing cells (%)35.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.1 KiB
Average record size in memory306.1 B

Variable types

Numeric5
Categorical23
Unsupported8

Dataset

Description23년06월_6270000_대구광역시_09_30_10_P_분뇨수집운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098783&dataSetDetailId=DDI_0000098810&provdMethod=FILE

Alerts

개방서비스명 has constant value "분뇨수집운반업"Constant
개방서비스아이디 has constant value "09_30_10_P"Constant
환경업무구분명 has constant value "분뇨등관련영업관리"Constant
인허가일자 has a high cardinality: 84 distinct valuesHigh cardinality
소재지전화 has a high cardinality: 87 distinct valuesHigh cardinality
사업장명 has a high cardinality: 84 distinct valuesHigh cardinality
최종수정시점 has a high cardinality: 113 distinct valuesHigh cardinality
데이터갱신일자 has a high cardinality: 54 distinct valuesHigh cardinality
업태구분명 is highly imbalanced (51.2%)Imbalance
업종구분명 is highly imbalanced (51.2%)Imbalance
인허가취소일자 has 114 (100.0%) missing valuesMissing
폐업일자 has 85 (74.6%) missing valuesMissing
휴업시작일자 has 114 (100.0%) missing valuesMissing
휴업종료일자 has 114 (100.0%) missing valuesMissing
재개업일자 has 103 (90.4%) missing valuesMissing
소재지전화 has 11 (9.6%) missing valuesMissing
소재지면적 has 114 (100.0%) missing valuesMissing
소재지우편번호 has 50 (43.9%) missing valuesMissing
도로명전체주소 has 13 (11.4%) missing valuesMissing
도로명우편번호 has 57 (50.0%) missing valuesMissing
업태구분명 has 95 (83.3%) missing valuesMissing
좌표정보(X) has 13 (11.4%) missing valuesMissing
좌표정보(Y) has 13 (11.4%) missing valuesMissing
업종구분명 has 95 (83.3%) missing valuesMissing
종별명 has 114 (100.0%) missing valuesMissing
주생산품명 has 114 (100.0%) missing valuesMissing
배출시설조업시간 has 114 (100.0%) missing valuesMissing
방지시설조업시간 has 114 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 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
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 started2023-07-15 13:23:48.583589
Analysis finished2023-07-15 13:23:49.247599
Duration0.66 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.5
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-15T22:23:49.401540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.65
Q129.25
median57.5
Q385.75
95-th percentile108.35
Maximum114
Range113
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation33.052988
Coefficient of variation (CV)0.57483457
Kurtosis-1.2
Mean57.5
Median Absolute Deviation (MAD)28.5
Skewness0
Sum6555
Variance1092.5
MonotonicityStrictly increasing
2023-07-15T22:23:49.656471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
29 1
 
0.9%
3 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
6 1
 
0.9%
7 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
분뇨수집운반업
114 

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 114
100.0%

Length

2023-07-15T22:23:49.914210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:50.112951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
분뇨수집운반업 114
100.0%
Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
09_30_10_P
114 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_10_P
2nd row09_30_10_P
3rd row09_30_10_P
4th row09_30_10_P
5th row09_30_10_P

Common Values

ValueCountFrequency (%)
09_30_10_P 114
100.0%

Length

2023-07-15T22:23:50.265697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:50.481862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
09_30_10_p 114
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444122.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-15T22:23:50.659213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3440000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation19902.924
Coefficient of variation (CV)0.0057788078
Kurtosis-1.015258
Mean3444122.8
Median Absolute Deviation (MAD)10000
Skewness0.2003637
Sum3.9263 × 108
Variance3.9612638 × 108
MonotonicityIncreasing
2023-07-15T22:23:50.863841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 21
18.4%
3450000 21
18.4%
3420000 18
15.8%
3440000 16
14.0%
3470000 16
14.0%
3460000 9
7.9%
3480000 8
 
7.0%
3410000 5
 
4.4%
ValueCountFrequency (%)
3410000 5
 
4.4%
3420000 18
15.8%
3430000 21
18.4%
3440000 16
14.0%
3450000 21
18.4%
3460000 9
7.9%
3470000 16
14.0%
3480000 8
 
7.0%
ValueCountFrequency (%)
3480000 8
 
7.0%
3470000 16
14.0%
3460000 9
7.9%
3450000 21
18.4%
3440000 16
14.0%
3430000 21
18.4%
3420000 18
15.8%
3410000 5
 
4.4%

관리번호
Real number (ℝ)

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0785245 × 1016
Minimum3.4100005 × 1017
Maximum3.4800005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-15T22:23:51.398015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.4100005 × 1017
5-th percentile3.4200005 × 1017
Q13.4300005 × 1017
median3.4400005 × 1017
Q33.4600005 × 1017
95-th percentile3.4800005 × 1017
Maximum3.4800005 × 1017
Range7 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation1.9902924 × 1015
Coefficient of variation (CV)0.095755062
Kurtosis-1.015258
Mean2.0785245 × 1016
Median Absolute Deviation (MAD)1 × 1015
Skewness0.20036367
Sum2.3695179 × 1018
Variance3.9612639 × 1030
MonotonicityNot monotonic
2023-07-15T22:23:51.653861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000053199500032 1
 
0.9%
343000053200000000 1
 
0.9%
341000053199900032 1
 
0.9%
341000053199500032 1
 
0.9%
341000053199500032 1
 
0.9%
342000053000000000 1
 
0.9%
342000053000000000 1
 
0.9%
342000053000000000 1
 
0.9%
342000053201900032 1
 
0.9%
342000053000000000 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
341000053199500032 1
0.9%
341000053199500032 1
0.9%
341000053199500032 1
0.9%
341000053199500032 1
0.9%
341000053199900032 1
0.9%
342000053000000000 1
0.9%
342000053000000000 1
0.9%
342000053000000000 1
0.9%
342000053000000000 1
0.9%
342000053000000000 1
0.9%
ValueCountFrequency (%)
348000053199910016 1
0.9%
348000053199910016 1
0.9%
348000053199910016 1
0.9%
348000053199910016 1
0.9%
348000053199910016 1
0.9%
348000053199900032 1
0.9%
348000053199409984 1
0.9%
348000053199400000 1
0.9%
347000053201200000 1
0.9%
347000053200900032 1
0.9%

인허가일자
Categorical

Distinct84
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2000-08-18
 
8
1993-01-19
 
4
1995-02-22
 
4
1999-05-19
 
3
1999-05-17
 
3
Other values (79)
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique68 ?
Unique (%)59.6%

Sample

1st row1995-02-22
2nd row1995-02-22
3rd row1999-04-23
4th row1995-02-22
5th row1995-02-22

Common Values

ValueCountFrequency (%)
2000-08-18 8
 
7.0%
1993-01-19 4
 
3.5%
1995-02-22 4
 
3.5%
1999-05-19 3
 
2.6%
1999-05-17 3
 
2.6%
1999-05-20 3
 
2.6%
1993-01-20 3
 
2.6%
1999-05-24 2
 
1.8%
2020-04-14 2
 
1.8%
2008-04-04 2
 
1.8%
Other values (74) 80
70.2%

Length

2023-07-15T22:23:51.923150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2000-08-18 8
 
7.0%
1995-02-22 4
 
3.5%
1993-01-19 4
 
3.5%
1999-05-19 3
 
2.6%
1999-05-17 3
 
2.6%
1999-05-20 3
 
2.6%
1993-01-20 3
 
2.6%
2004-05-14 2
 
1.8%
1994-05-17 2
 
1.8%
1999-05-26 2
 
1.8%
Other values (74) 80
70.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB
Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
70 
3
29 
4
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
61.4%
3 29
25.4%
4 15
 
13.2%

Length

2023-07-15T22:23:52.126924image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:52.359607image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 70
61.4%
3 29
25.4%
4 15
 
13.2%

영업상태명
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
70 
폐업
29 
취소/말소/만료/정지/중지
15 

Length

Max length14
Median length5
Mean length5.4210526
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 70
61.4%
폐업 29
25.4%
취소/말소/만료/정지/중지 15
 
13.2%

Length

2023-07-15T22:23:52.593181image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:52.827522image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 70
61.4%
폐업 29
25.4%
취소/말소/만료/정지/중지 15
 
13.2%
Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
11
59 
2
29 
4
15 
3
11 

Length

Max length2
Median length2
Mean length1.5175439
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 59
51.8%
2 29
25.4%
4 15
 
13.2%
3 11
 
9.6%

Length

2023-07-15T22:23:53.037959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:53.335950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
11 59
51.8%
2 29
25.4%
4 15
 
13.2%
3 11
 
9.6%
Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업
59 
폐업
29 
폐쇄
15 
재개업
11 

Length

Max length3
Median length2
Mean length2.0964912
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 59
51.8%
폐업 29
25.4%
폐쇄 15
 
13.2%
재개업 11
 
9.6%

Length

2023-07-15T22:23:53.564798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:53.814378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업 59
51.8%
폐업 29
25.4%
폐쇄 15
 
13.2%
재개업 11
 
9.6%

폐업일자
Categorical

Distinct20
Distinct (%)69.0%
Missing85
Missing (%)74.6%
Memory size1.0 KiB
2007-09-28
2009-09-14
2008-06-16
2002-01-01
2002-07-12
Other values (15)
16 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique14 ?
Unique (%)48.3%

Sample

1st row2019-08-07
2nd row2010-02-03
3rd row2015-11-11
4th row2006-07-24
5th row2010-03-26

Common Values

ValueCountFrequency (%)
2007-09-28 5
 
4.4%
2009-09-14 2
 
1.8%
2008-06-16 2
 
1.8%
2002-01-01 2
 
1.8%
2002-07-12 2
 
1.8%
2000-11-24 2
 
1.8%
2015-11-11 1
 
0.9%
2005-05-27 1
 
0.9%
2014-01-16 1
 
0.9%
2010-02-03 1
 
0.9%
Other values (10) 10
 
8.8%
(Missing) 85
74.6%

Length

2023-07-15T22:23:54.046321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2007-09-28 5
17.2%
2008-06-16 2
 
6.9%
2002-01-01 2
 
6.9%
2002-07-12 2
 
6.9%
2000-11-24 2
 
6.9%
2009-09-14 2
 
6.9%
2006-07-24 1
 
3.4%
2018-12-31 1
 
3.4%
2010-03-26 1
 
3.4%
2007-12-12 1
 
3.4%
Other values (10) 10
34.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Categorical

Distinct8
Distinct (%)72.7%
Missing103
Missing (%)90.4%
Memory size1.0 KiB
2013-12-01
2012-12-01
2012-01-01
2012-12-10
2011-12-28
Other values (3)

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)45.5%

Sample

1st row2012-12-10
2nd row2013-12-01
3rd row2012-12-01
4th row2012-01-01
5th row2012-12-01

Common Values

ValueCountFrequency (%)
2013-12-01 2
 
1.8%
2012-12-01 2
 
1.8%
2012-01-01 2
 
1.8%
2012-12-10 1
 
0.9%
2011-12-28 1
 
0.9%
2003-06-20 1
 
0.9%
2002-05-01 1
 
0.9%
2008-04-15 1
 
0.9%
(Missing) 103
90.4%

Length

2023-07-15T22:23:54.283228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:54.558354image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2013-12-01 2
18.2%
2012-12-01 2
18.2%
2012-01-01 2
18.2%
2012-12-10 1
9.1%
2011-12-28 1
9.1%
2003-06-20 1
9.1%
2002-05-01 1
9.1%
2008-04-15 1
9.1%

소재지전화
Categorical

HIGH CARDINALITY  MISSING 

Distinct87
Distinct (%)84.5%
Missing11
Missing (%)9.6%
Memory size1.0 KiB
053 6536086
 
2
053 6530155
 
2
053 9441874
 
2
053 653 6300
 
2
053 9410333
 
2
Other values (82)
93 

Length

Max length12
Median length11
Mean length10.883495
Min length7

Unique

Unique71 ?
Unique (%)68.9%

Sample

1st row053-287-3000
2nd row053-565-0780
3rd row053-565-3637
4th row053-565-0115
5th row053-565-0116

Common Values

ValueCountFrequency (%)
053 6536086 2
 
1.8%
053 6530155 2
 
1.8%
053 9441874 2
 
1.8%
053 653 6300 2
 
1.8%
053 9410333 2
 
1.8%
053-765-1515 2
 
1.8%
053 6347800 2
 
1.8%
053 6386868 2
 
1.8%
053 655 2556 2
 
1.8%
0535640808 2
 
1.8%
Other values (77) 83
72.8%
(Missing) 11
 
9.6%

Length

2023-07-15T22:23:54.816268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053 44
27.2%
0535640808 2
 
1.2%
6536086 2
 
1.2%
4600 2
 
1.2%
355 2
 
1.2%
0533418585 2
 
1.2%
0535625160 2
 
1.2%
5001 2
 
1.2%
959 2
 
1.2%
7660807 2
 
1.2%
Other values (88) 100
61.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB
Distinct25
Distinct (%)39.1%
Missing50
Missing (%)43.9%
Memory size1.0 KiB
704-080
10 
703-016
703-836
701-815
706-852
Other values (20)
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique16 ?
Unique (%)25.0%

Sample

1st row701-815
2nd row701-815
3rd row701-815
4th row701-815
5th row701-801

Common Values

ValueCountFrequency (%)
704-080 10
 
8.8%
703-016 9
 
7.9%
703-836 8
 
7.0%
701-815 5
 
4.4%
706-852 5
 
4.4%
705-041 4
 
3.5%
703-010 3
 
2.6%
704-390 2
 
1.8%
705-040 2
 
1.8%
701-801 1
 
0.9%
Other values (15) 15
 
13.2%
(Missing) 50
43.9%

Length

2023-07-15T22:23:55.025202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
704-080 10
15.6%
703-016 9
14.1%
703-836 8
12.5%
701-815 5
 
7.8%
706-852 5
 
7.8%
705-041 4
 
6.2%
703-010 3
 
4.7%
704-390 2
 
3.1%
705-040 2
 
3.1%
706-841 1
 
1.6%
Other values (15) 15
23.4%
Distinct33
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
대구광역시 서구 평리동 617-18
18 
대구광역시 달서구 성당동 670-25
11 
대구광역시 북구 고성동2가 113-2
11 
대구광역시 동구 신암동 804-5 3층
11 
대구광역시 동구 신암동 211
Other values (28)
57 

Length

Max length25
Median length24
Mean length20.824561
Min length17

Unique

Unique12 ?
Unique (%)10.5%

Sample

1st row대구광역시 중구 태평로3가 190-6
2nd row대구광역시 중구 태평로3가 190-6
3rd row대구광역시 중구 태평로3가 190-6
4th row대구광역시 중구 태평로3가 190-6
5th row대구광역시 중구 태평로3가 190-6

Common Values

ValueCountFrequency (%)
대구광역시 서구 평리동 617-18 18
15.8%
대구광역시 달서구 성당동 670-25 11
 
9.6%
대구광역시 북구 고성동2가 113-2 11
 
9.6%
대구광역시 동구 신암동 804-5 3층 11
 
9.6%
대구광역시 동구 신암동 211 6
 
5.3%
대구광역시 남구 대명동 1889-14 6
 
5.3%
대구광역시 중구 태평로3가 190-6 5
 
4.4%
대구광역시 달성군 화원읍 천내리 27-3 3
 
2.6%
대구광역시 남구 대명동 1122-2 3
 
2.6%
대구광역시 달성군 논공읍 금포리 1687-1 3
 
2.6%
Other values (23) 37
32.5%

Length

2023-07-15T22:23:55.268551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 114
23.9%
평리동 21
 
4.4%
서구 21
 
4.4%
북구 21
 
4.4%
동구 18
 
3.8%
617-18 18
 
3.8%
신암동 17
 
3.6%
대명동 16
 
3.4%
남구 16
 
3.4%
달서구 16
 
3.4%
Other values (55) 198
41.6%
Distinct29
Distinct (%)28.7%
Missing13
Missing (%)11.4%
Memory size1.0 KiB
대구광역시 서구 서대구로 201 (평리동)
11 
대구광역시 동구 대현로 137, 3층 (신암동)
11 
대구광역시 북구 고성로 142 (고성동2가)
대구광역시 달서구 야외음악당로 103 (성당동)
대구광역시 서구 서대구로 201 (평리동)
Other values (24)
55 

Length

Max length33
Median length30
Mean length24.940594
Min length22

Unique

Unique10 ?
Unique (%)9.9%

Sample

1st row대구광역시 중구 태평로 65-10, 3층 (태평로3가)
2nd row대구광역시 중구 태평로 65-10, 3층 (태평로3가)
3rd row대구광역시 중구 태평로 65-10, 3층 (태평로3가)
4th row대구광역시 중구 태평로 65-10, 3층 (태평로3가)
5th row대구광역시 중구 태평로 65-10, 3층 (태평로3가)

Common Values

ValueCountFrequency (%)
대구광역시 서구 서대구로 201 (평리동) 11
 
9.6%
대구광역시 동구 대현로 137, 3층 (신암동) 11
 
9.6%
대구광역시 북구 고성로 142 (고성동2가) 9
 
7.9%
대구광역시 달서구 야외음악당로 103 (성당동) 8
 
7.0%
대구광역시 서구 서대구로 201 (평리동) 7
 
6.1%
대구광역시 남구 명덕로 134-1 (대명동) 6
 
5.3%
대구광역시 수성구 희망로 189 (황금동) 5
 
4.4%
대구광역시 중구 태평로 65-10, 3층 (태평로3가) 5
 
4.4%
대구광역시 동구 아양로8길 11 (신암동) 4
 
3.5%
대구광역시 달성군 화원읍 화원로1길 36-4 3
 
2.6%
Other values (19) 32
28.1%
(Missing) 13
11.4%

Length

2023-07-15T22:23:55.516764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 101
 
19.2%
평리동 21
 
4.0%
서구 21
 
4.0%
3층 19
 
3.6%
서대구로 18
 
3.4%
201 18
 
3.4%
동구 18
 
3.4%
신암동 17
 
3.2%
북구 17
 
3.2%
달서구 16
 
3.0%
Other values (63) 260
49.4%
Distinct17
Distinct (%)29.8%
Missing57
Missing (%)50.0%
Memory size1.0 KiB
41596
12 
41196
11 
703-836
42409
41901
Other values (12)
16 

Length

Max length7
Median length5
Mean length5.3859649
Min length5

Unique

Unique9 ?
Unique (%)15.8%

Sample

1st row41901
2nd row41901
3rd row41901
4th row41901
5th row41901

Common Values

ValueCountFrequency (%)
41596 12
 
10.5%
41196 11
 
9.6%
703-836 7
 
6.1%
42409 6
 
5.3%
41901 5
 
4.4%
42975 3
 
2.6%
41434 2
 
1.8%
711-837 2
 
1.8%
42655 1
 
0.9%
42955 1
 
0.9%
Other values (7) 7
 
6.1%
(Missing) 57
50.0%

Length

2023-07-15T22:23:55.796137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
41596 12
21.1%
41196 11
19.3%
703-836 7
12.3%
42409 6
10.5%
41901 5
8.8%
42975 3
 
5.3%
41434 2
 
3.5%
711-837 2
 
3.5%
41469 1
 
1.8%
41440 1
 
1.8%
Other values (7) 7
12.3%

사업장명
Categorical

Distinct84
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
서부정화조(유)
 
3
(주)강변정화위생
 
3
(주)신세계위생
 
3
(주)달서정화조
 
3
남도위생(주)
 
3
Other values (79)
99 

Length

Max length10
Median length9
Mean length6.745614
Min length4

Unique

Unique59 ?
Unique (%)51.8%

Sample

1st row(주)중성
2nd row대우위생(주)
3rd row중구정화(주)
4th row원진위생(주)
5th row한일청화(주)

Common Values

ValueCountFrequency (%)
서부정화조(유) 3
 
2.6%
(주)강변정화위생 3
 
2.6%
(주)신세계위생 3
 
2.6%
(주)달서정화조 3
 
2.6%
남도위생(주) 3
 
2.6%
(주)시민 2
 
1.8%
남구위생사 2
 
1.8%
달성위생 2
 
1.8%
(주)안심위생크리닉 2
 
1.8%
(주)달구벌위생 2
 
1.8%
Other values (74) 89
78.1%

Length

2023-07-15T22:23:56.005042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서부정화조(유 3
 
2.6%
주)신세계위생 3
 
2.6%
주)달서정화조 3
 
2.6%
남도위생(주 3
 
2.6%
주)강변정화위생 3
 
2.6%
달서위생(주 2
 
1.8%
주)월배정화조 2
 
1.8%
주)경진기업 2
 
1.8%
동구정화조(주 2
 
1.8%
주)서구정화 2
 
1.8%
Other values (74) 89
78.1%
Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2021-06-30 16:41:41
 
2
2008-01-29 16:50:04
 
1
2022-07-29 09:36:56
 
1
2021-10-29 10:15:23
 
1
2022-06-20 11:55:34
 
1
Other values (108)
108 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique112 ?
Unique (%)98.2%

Sample

1st row2022-06-20 11:53:47
2nd row2023-06-20 15:38:34
3rd row2022-07-29 09:36:56
4th row2021-10-29 10:15:23
5th row2022-06-20 11:55:34

Common Values

ValueCountFrequency (%)
2021-06-30 16:41:41 2
 
1.8%
2008-01-29 16:50:04 1
 
0.9%
2022-07-29 09:36:56 1
 
0.9%
2021-10-29 10:15:23 1
 
0.9%
2022-06-20 11:55:34 1
 
0.9%
2022-12-14 17:56:49 1
 
0.9%
2022-10-19 14:20:17 1
 
0.9%
2019-11-13 15:15:27 1
 
0.9%
2010-03-22 11:52:34 1
 
0.9%
2015-12-31 15:46:12 1
 
0.9%
Other values (103) 103
90.4%

Length

2023-07-15T22:23:56.210610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-01-23 8
 
3.5%
2021-06-30 6
 
2.6%
2008-01-29 5
 
2.2%
2009-11-10 4
 
1.8%
2020-02-10 4
 
1.8%
2006-12-28 3
 
1.3%
2022-05-30 2
 
0.9%
2010-03-22 2
 
0.9%
2023-05-08 2
 
0.9%
2015-12-23 2
 
0.9%
Other values (179) 190
83.3%
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
U
70 
I
44 

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 (%)
U 70
61.4%
I 44
38.6%

Length

2023-07-15T22:23:56.413848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:56.633456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
u 70
61.4%
i 44
38.6%
Distinct54
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2018-08-31 23:59:59
42 
2021-07-02 02:40:00
2020-02-12 02:40:00
 
4
2023-02-16 02:40:00
 
2
2019-11-15 02:40:00
 
2
Other values (49)
58 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique40 ?
Unique (%)35.1%

Sample

1st row2022-06-22 02:40:00
2nd row2023-06-22 02:40:00
3rd row2022-07-31 02:40:00
4th row2021-10-31 02:40:00
5th row2022-06-22 02:40:00

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 42
36.8%
2021-07-02 02:40:00 6
 
5.3%
2020-02-12 02:40:00 4
 
3.5%
2023-02-16 02:40:00 2
 
1.8%
2019-11-15 02:40:00 2
 
1.8%
2022-10-21 02:40:00 2
 
1.8%
2022-06-22 02:40:00 2
 
1.8%
2023-05-20 02:40:00 2
 
1.8%
2022-09-18 02:40:00 2
 
1.8%
2023-05-10 02:40:00 2
 
1.8%
Other values (44) 48
42.1%

Length

2023-07-15T22:23:56.801662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00 70
30.7%
2018-08-31 42
18.4%
23:59:59 42
18.4%
2021-07-02 6
 
2.6%
2020-02-12 4
 
1.8%
2022-09-18 2
 
0.9%
2021-01-01 2
 
0.9%
2022-06-04 2
 
0.9%
2020-10-17 2
 
0.9%
2023-05-10 2
 
0.9%
Other values (48) 54
23.7%

업태구분명
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)15.8%
Missing95
Missing (%)83.3%
Memory size1.0 KiB
분뇨 처리업
16 
하수처리, 폐기물처리 및 청소관련 서비스업
하수, 폐수 및 분뇨 처리업
 
1

Length

Max length23
Median length6
Mean length8.2631579
Min length6

Unique

Unique1 ?
Unique (%)5.3%

Sample

1st row분뇨 처리업
2nd row분뇨 처리업
3rd row분뇨 처리업
4th row하수처리, 폐기물처리 및 청소관련 서비스업
5th row하수처리, 폐기물처리 및 청소관련 서비스업

Common Values

ValueCountFrequency (%)
분뇨 처리업 16
 
14.0%
하수처리, 폐기물처리 및 청소관련 서비스업 2
 
1.8%
하수, 폐수 및 분뇨 처리업 1
 
0.9%
(Missing) 95
83.3%

Length

2023-07-15T22:23:57.019863image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:57.608320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
분뇨 17
36.2%
처리업 17
36.2%
3
 
6.4%
하수처리 2
 
4.3%
폐기물처리 2
 
4.3%
청소관련 2
 
4.3%
서비스업 2
 
4.3%
하수 1
 
2.1%
폐수 1
 
2.1%

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)22.8%
Missing13
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean341729.06
Minimum328530.73
Maximum350029.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-15T22:23:58.453931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum328530.73
5-th percentile335412.29
Q1340089.81
median342730.86
Q3345657.45
95-th percentile346245.59
Maximum350029.79
Range21499.053
Interquartile range (IQR)5567.6384

Descriptive statistics

Standard deviation3854.6907
Coefficient of variation (CV)0.011279961
Kurtosis2.7896296
Mean341729.06
Median Absolute Deviation (MAD)2641.0523
Skewness-1.1670587
Sum34514635
Variance14858640
MonotonicityNot monotonic
2023-07-15T22:23:58.766394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
340307.732388784 18
15.8%
342739.079006892 12
10.5%
340089.810410937 11
9.6%
345657.448775866 11
9.6%
346167.636957368 6
 
5.3%
343080.677254516 6
 
5.3%
346245.585556748 5
 
4.4%
343097.961725472 5
 
4.4%
328530.733364869 3
 
2.6%
340282.132381117 3
 
2.6%
Other values (13) 21
18.4%
(Missing) 13
11.4%
ValueCountFrequency (%)
328530.733364869 3
 
2.6%
331454.436496071 1
 
0.9%
335412.290297673 3
 
2.6%
337160.204416439 2
 
1.8%
337827.110178456 2
 
1.8%
339184.114832358 1
 
0.9%
339813.061229775 1
 
0.9%
339814.124908656 2
 
1.8%
339862.196359987 1
 
0.9%
340089.810410937 11
9.6%
ValueCountFrequency (%)
350029.786653198 1
 
0.9%
346750.246548734 3
 
2.6%
346245.585556748 5
4.4%
346167.636957368 6
5.3%
345657.448775866 11
9.6%
343476.576908643 1
 
0.9%
343097.961725472 5
4.4%
343080.677254516 6
5.3%
342739.079006892 12
10.5%
342730.862748162 1
 
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)22.8%
Missing13
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean263735.83
Minimum253434.56
Maximum272453.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-15T22:23:58.974925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum253434.56
5-th percentile257110.44
Q1261793.62
median265104.44
Q3265678.94
95-th percentile265785.66
Maximum272453.41
Range19018.849
Interquartile range (IQR)3885.3235

Descriptive statistics

Standard deviation3378.0767
Coefficient of variation (CV)0.012808562
Kurtosis2.0359963
Mean263735.83
Median Absolute Deviation (MAD)681.22511
Skewness-0.75722484
Sum26637319
Variance11411402
MonotonicityNot monotonic
2023-07-15T22:23:59.138442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
265104.435003872 18
15.8%
265678.94499247 12
10.5%
261793.621495869 11
9.6%
265785.660111903 11
9.6%
265739.321650203 6
 
5.3%
262945.796109498 6
 
5.3%
261953.80532797 5
 
4.4%
265307.946368346 5
 
4.4%
253434.563871162 3
 
2.6%
265050.978255539 3
 
2.6%
Other values (13) 21
18.4%
(Missing) 13
11.4%
ValueCountFrequency (%)
253434.563871162 3
 
2.6%
257110.442035324 3
 
2.6%
257769.37867184 2
 
1.8%
258012.944248236 2
 
1.8%
259818.530514016 1
 
0.9%
260720.749614252 3
 
2.6%
260861.595372329 2
 
1.8%
261690.581987141 1
 
0.9%
261793.621495869 11
9.6%
261953.80532797 5
4.4%
ValueCountFrequency (%)
272453.412524529 1
 
0.9%
272173.966766007 2
 
1.8%
269717.035023887 1
 
0.9%
266051.129334667 1
 
0.9%
265785.660111903 11
9.6%
265739.321650203 6
 
5.3%
265678.94499247 12
10.5%
265613.947042894 1
 
0.9%
265307.946368346 5
 
4.4%
265104.435003872 18
15.8%
Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
분뇨등관련영업관리
114 

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 114
100.0%

Length

2023-07-15T22:23:59.307039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:59.451099image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등관련영업관리 114
100.0%

업종구분명
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)15.8%
Missing95
Missing (%)83.3%
Memory size1.0 KiB
분뇨 처리업
16 
하수처리, 폐기물처리 및 청소관련 서비스업
하수, 폐수 및 분뇨 처리업
 
1

Length

Max length23
Median length6
Mean length8.2631579
Min length6

Unique

Unique1 ?
Unique (%)5.3%

Sample

1st row분뇨 처리업
2nd row분뇨 처리업
3rd row분뇨 처리업
4th row하수처리, 폐기물처리 및 청소관련 서비스업
5th row하수처리, 폐기물처리 및 청소관련 서비스업

Common Values

ValueCountFrequency (%)
분뇨 처리업 16
 
14.0%
하수처리, 폐기물처리 및 청소관련 서비스업 2
 
1.8%
하수, 폐수 및 분뇨 처리업 1
 
0.9%
(Missing) 95
83.3%

Length

2023-07-15T22:23:59.605096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:59.795992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
분뇨 17
36.2%
처리업 17
36.2%
3
 
6.4%
하수처리 2
 
4.3%
폐기물처리 2
 
4.3%
청소관련 2
 
4.3%
서비스업 2
 
4.3%
하수 1
 
2.1%
폐수 1
 
2.1%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
71 
0
43 

Length

Max length4
Median length4
Mean length2.8684211
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
62.3%
0 43
37.7%

Length

2023-07-15T22:23:59.973773image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:24:00.203317image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 71
62.3%
0 43
37.7%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
71 
0
43 

Length

Max length4
Median length4
Mean length2.8684211
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
62.3%
0 43
37.7%

Length

2023-07-15T22:24:00.353622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:24:00.525120image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 71
62.3%
0 43
37.7%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01분뇨수집운반업09_30_10_P34100003410000531995000011995-02-22<NA>1영업/정상11영업<NA><NA><NA><NA>053-287-3000<NA><NA>대구광역시 중구 태평로3가 190-6대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901(주)중성2022-06-20 11:53:47U2022-06-22 02:40:00<NA>343097.961725265307.946368분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
12분뇨수집운반업09_30_10_P34100003410000531995000021995-02-22<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-0780<NA><NA>대구광역시 중구 태평로3가 190-6대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901대우위생(주)2023-06-20 15:38:34U2023-06-22 02:40:00<NA>343097.961725265307.946368분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
23분뇨수집운반업09_30_10_P34100003410000531999000051999-04-23<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-3637<NA><NA>대구광역시 중구 태평로3가 190-6대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901중구정화(주)2022-07-29 09:36:56U2022-07-31 02:40:00<NA>343097.961725265307.946368분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
34분뇨수집운반업09_30_10_P34100003410000531995000041995-02-22<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-0115<NA><NA>대구광역시 중구 태평로3가 190-6대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901원진위생(주)2021-10-29 10:15:23U2021-10-31 02:40:00<NA>343097.961725265307.946368분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
45분뇨수집운반업09_30_10_P34100003410000531995000031995-02-22<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-0116<NA><NA>대구광역시 중구 태평로3가 190-6대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901한일청화(주)2022-06-20 11:55:34U2022-06-22 02:40:00<NA>343097.961725265307.946368분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
56분뇨수집운반업09_30_10_P34200003420000530000000021993-01-19<NA>1영업/정상11영업<NA><NA><NA><NA>05309513400<NA><NA>대구광역시 동구 신암동 804-5 3층대구광역시 동구 대현로 137, 3층 (신암동)41196현대위생(주)2021-06-30 16:41:41U2021-07-02 02:40:00분뇨 처리업345657.448776265785.660112분뇨등관련영업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
67분뇨수집운반업09_30_10_P34200003420000530000000051998-11-14<NA>1영업/정상11영업<NA><NA><NA><NA>053 9410333<NA><NA>대구광역시 동구 신암동 804-5 3층대구광역시 동구 대현로 137, 3층 (신암동)41196동구정화조(주)2022-12-14 17:56:49U2022-12-16 02:40:00<NA>345657.448776265785.660112분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
78분뇨수집운반업09_30_10_P34200003420000530000000172000-03-08<NA>1영업/정상11영업<NA><NA><NA><NA>053 9419296<NA><NA>대구광역시 동구 신암동 804-5 3층대구광역시 동구 대현로 137, 3층 (신암동)41196우방환경2022-10-19 14:20:17U2022-10-21 02:40:00<NA>345657.448776265785.660112분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
89분뇨수집운반업09_30_10_P34200003420000532019000012019-08-07<NA>3폐업2폐업2019-08-07<NA><NA><NA>053 9441874<NA>701-815대구광역시 동구 신암동 211대구광역시 동구 아양로8길 11 (신암동)<NA>(주)안심위생크리닉2019-11-13 15:15:27U2019-11-15 02:40:00<NA>346167.636957265739.32165분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
910분뇨수집운반업09_30_10_P34200003420000530000000041994-10-12<NA>3폐업2폐업2010-02-03<NA><NA><NA>053 7410010<NA>701-815대구광역시 동구 신암동 211대구광역시 동구 아양로8길 11 (신암동)<NA>동구위생사2010-03-22 11:52:34I2018-08-31 23:59:59<NA>346167.636957265739.32165분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
104105분뇨수집운반업09_30_10_P34700003470000532008000032008-06-03<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA>053 6347800<NA>704-390대구광역시 달서구 유천동 366-1대구광역시 달서구 월배로 31-1 (유천동)<NA>달서위생(주)2009-11-10 15:28:04I2018-08-31 23:59:59<NA>337160.204416258012.944248분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
105106분뇨수집운반업09_30_10_P34700003470000532000000031990-01-20<NA>1영업/정상11영업<NA><NA><NA><NA>0536246115<NA>704-080대구광역시 달서구 성당동 670-25대구광역시 달서구 야외음악당로 103 (성당동)<NA>경북정화조(주)2021-04-30 11:18:35U2021-05-02 02:40:00하수, 폐수 및 분뇨 처리업340089.810411261793.621496분뇨등관련영업관리하수, 폐수 및 분뇨 처리업<NA><NA><NA><NA><NA><NA>
106107분뇨수집운반업09_30_10_P34800003480000531994100011994-05-17<NA>1영업/정상11영업<NA><NA><NA><NA>0536327858<NA><NA>대구광역시 달성군 논공읍 금포리 1687-1대구광역시 달성군 논공읍 노이길 28-142975달성위생정화조2022-09-16 18:00:00U2022-09-18 02:40:00<NA>328530.733365253434.563871분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
107108분뇨수집운반업09_30_10_P34800003480000531999000061999-07-20<NA>1영업/정상11영업<NA><NA><NA><NA>053 617 0808<NA><NA>대구광역시 달성군 화원읍 천내리 27-3대구광역시 달성군 화원읍 화원로1길 36-442955달성환경2023-05-23 14:20:37U2023-05-25 02:40:00<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
108109분뇨수집운반업09_30_10_P34800003480000531999100022004-02-18<NA>1영업/정상11영업<NA><NA><NA><NA>0535921617<NA><NA>대구광역시 달성군 다사읍 매곡리 672대구광역시 달성군 다사읍 매곡로2길 1742908달성정화조2022-12-11 13:49:51U2022-12-13 02:40:00<NA>331454.436496263569.617845분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
109110분뇨수집운반업09_30_10_P34800003480000531994000011994-05-17<NA>3폐업2폐업2005-05-25<NA><NA><NA>053 632 7858<NA>711-830대구광역시 달성군 화원읍 천내리 54-1<NA><NA>달성위생2002-05-20 13:15:40I2018-08-31 23:59:59<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
110111분뇨수집운반업09_30_10_P34800003480000531999100042007-03-30<NA>1영업/정상11영업<NA><NA><NA><NA>0536171133<NA><NA>대구광역시 달성군 논공읍 금포리 1687-1대구광역시 달성군 논공읍 노이길 28-142975명신위생2022-09-16 18:06:07U2022-09-18 02:40:00<NA>328530.733365253434.563871분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
111112분뇨수집운반업09_30_10_P34800003480000531999100052007-03-30<NA>1영업/정상11영업<NA><NA><NA><NA>0536161133<NA>711-834대구광역시 달성군 화원읍 천내리 27-3대구광역시 달성군 화원읍 화원로1길 36-4711-837달남위생2022-12-21 15:15:34U2022-12-23 02:40:00<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
112113분뇨수집운반업09_30_10_P34800003480000531999100061999-07-29<NA>1영업/정상11영업<NA><NA><NA><NA>0536162003<NA>711-837대구광역시 달성군 화원읍 천내리 27-3대구광역시 달성군 화원읍 화원로1길 36-4711-837달성위생2022-11-01 17:34:33U2022-11-03 02:40:00<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
113114분뇨수집운반업09_30_10_P34800003480000531999100031999-06-24<NA>1영업/정상11영업<NA><NA><NA><NA>0536117788<NA><NA>대구광역시 달성군 논공읍 금포리 1687-1대구광역시 달성군 논공읍 노이길 28-142975칠칠위생2023-02-09 09:35:53U2023-02-11 02:40:00<NA>328530.733365253434.563871분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0