Overview

Dataset statistics

Number of variables36
Number of observations111
Missing cells1331
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.8 KiB
Average record size in memory312.2 B

Variable types

Numeric10
Categorical13
Unsupported10
Text2
DateTime1

Dataset

Description6270000_대구광역시_09_30_10_P_분뇨수집운반업_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084193&dataSetDetailId=DDI_0000084212&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (92.6%)Imbalance
업태구분명 is highly imbalanced (64.4%)Imbalance
업종구분명 is highly imbalanced (64.4%)Imbalance
인허가취소일자 has 111 (100.0%) missing valuesMissing
폐업일자 has 83 (74.8%) missing valuesMissing
휴업종료일자 has 111 (100.0%) missing valuesMissing
재개업일자 has 111 (100.0%) missing valuesMissing
소재지전화 has 11 (9.9%) missing valuesMissing
소재지면적 has 111 (100.0%) missing valuesMissing
소재지우편번호 has 34 (30.6%) missing valuesMissing
도로명우편번호 has 67 (60.4%) missing valuesMissing
좌표정보(X) has 13 (11.7%) missing valuesMissing
좌표정보(Y) has 13 (11.7%) missing valuesMissing
종별명 has 111 (100.0%) missing valuesMissing
주생산품명 has 111 (100.0%) missing valuesMissing
배출시설조업시간 has 111 (100.0%) missing valuesMissing
배출시설연간가동일수 has 111 (100.0%) missing valuesMissing
방지시설조업시간 has 111 (100.0%) missing valuesMissing
방지시설연간가동일수 has 111 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
배출시설연간가동일수 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
방지시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 20:24:38.494342
Analysis finished2023-12-10 20:24:39.119880
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:39.261132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2023-12-11T05:24:39.519093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
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 (%)
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%
104 1
0.9%
103 1
0.9%
102 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
분뇨수집운반업
111 

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 111
100.0%

Length

2023-12-11T05:24:39.969744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:40.130051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨수집운반업 111
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
09_30_10_P
111 

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 111
100.0%

Length

2023-12-11T05:24:40.318533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:40.493311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_10_p 111
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444414.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:40.650785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation20031.098
Coefficient of variation (CV)0.0058155307
Kurtosis-1.0280626
Mean3444414.4
Median Absolute Deviation (MAD)10000
Skewness0.18767409
Sum3.8233 × 108
Variance4.0124488 × 108
MonotonicityIncreasing
2023-12-11T05:24:40.825408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 21
18.9%
3430000 20
18.0%
3420000 17
15.3%
3470000 17
15.3%
3440000 16
14.4%
3480000 8
 
7.2%
3460000 7
 
6.3%
3410000 5
 
4.5%
ValueCountFrequency (%)
3410000 5
 
4.5%
3420000 17
15.3%
3430000 20
18.0%
3440000 16
14.4%
3450000 21
18.9%
3460000 7
 
6.3%
3470000 17
15.3%
3480000 8
 
7.2%
ValueCountFrequency (%)
3480000 8
 
7.2%
3470000 17
15.3%
3460000 7
 
6.3%
3450000 21
18.9%
3440000 16
14.4%
3430000 20
18.0%
3420000 17
15.3%
3410000 5
 
4.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4444149 × 1017
Minimum3.4100005 × 1017
Maximum3.4800005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:41.082638image/svg+xmlMatplotlib v3.7.2, 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 deviation2.0031098 × 1015
Coefficient of variation (CV)0.0058155299
Kurtosis-1.0280627
Mean3.4444149 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness0.18767407
Sum1.3395178 × 1018
Variance4.0124489 × 1030
MonotonicityNot monotonic
2023-12-11T05:24:41.377519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000053199500001 1
 
0.9%
341000053199500002 1
 
0.9%
346000053200000001 1
 
0.9%
346000053200100002 1
 
0.9%
346000053200000007 1
 
0.9%
346000053200000005 1
 
0.9%
345000053200100002 1
 
0.9%
345000053199900015 1
 
0.9%
345000053199900013 1
 
0.9%
345000053199300004 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
341000053199500001 1
0.9%
341000053199500002 1
0.9%
341000053199500003 1
0.9%
341000053199500004 1
0.9%
341000053199900005 1
0.9%
342000053000000001 1
0.9%
342000053000000002 1
0.9%
342000053000000003 1
0.9%
342000053000000004 1
0.9%
342000053000000005 1
0.9%
ValueCountFrequency (%)
348000053199910006 1
0.9%
348000053199910005 1
0.9%
348000053199910004 1
0.9%
348000053199910003 1
0.9%
348000053199910002 1
0.9%
348000053199900006 1
0.9%
348000053199410001 1
0.9%
348000053199400001 1
0.9%
347000053201200001 1
0.9%
347000053201000001 1
0.9%

인허가일자
Real number (ℝ)

Distinct82
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20003344
Minimum19900119
Maximum20190807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:41.711661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900119
5-th percentile19930119
Q119990465
median20000124
Q320020322
95-th percentile20080704
Maximum20190807
Range290688
Interquartile range (IQR)29856.5

Descriptive statistics

Standard deviation51289.329
Coefficient of variation (CV)0.0025640378
Kurtosis1.9100229
Mean20003344
Median Absolute Deviation (MAD)11079
Skewness0.74371094
Sum2.2203711 × 109
Variance2.6305952 × 109
MonotonicityNot monotonic
2023-12-11T05:24:41.987226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000818 8
 
7.2%
19950222 4
 
3.6%
19930119 4
 
3.6%
19930120 3
 
2.7%
19990519 3
 
2.7%
19990517 3
 
2.7%
19990520 3
 
2.7%
19990524 2
 
1.8%
19990727 2
 
1.8%
20080404 2
 
1.8%
Other values (72) 77
69.4%
ValueCountFrequency (%)
19900119 1
 
0.9%
19900120 1
 
0.9%
19911015 1
 
0.9%
19911228 1
 
0.9%
19920227 1
 
0.9%
19930119 4
3.6%
19930120 3
2.7%
19940113 1
 
0.9%
19940517 2
1.8%
19941012 1
 
0.9%
ValueCountFrequency (%)
20190807 1
0.9%
20180710 1
0.9%
20120208 1
0.9%
20100427 1
0.9%
20091222 1
0.9%
20080805 1
0.9%
20080603 1
0.9%
20080507 2
1.8%
20080404 2
1.8%
20070330 2
1.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
1
70 
3
27 
4
14 

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
63.1%
3 27
 
24.3%
4 14
 
12.6%

Length

2023-12-11T05:24:42.302374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:42.670969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
63.1%
3 27
 
24.3%
4 14
 
12.6%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
영업/정상
70 
폐업
27 
취소/말소/만료/정지/중지
14 

Length

Max length14
Median length5
Mean length5.4054054
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
63.1%
폐업 27
 
24.3%
취소/말소/만료/정지/중지 14
 
12.6%

Length

2023-12-11T05:24:42.926835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:43.125391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 70
63.1%
폐업 27
 
24.3%
취소/말소/만료/정지/중지 14
 
12.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
11
70 
2
27 
4
14 

Length

Max length2
Median length2
Mean length1.6306306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 70
63.1%
2 27
 
24.3%
4 14
 
12.6%

Length

2023-12-11T05:24:43.351219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:43.558664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 70
63.1%
2 27
 
24.3%
4 14
 
12.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
영업
70 
폐업
27 
폐쇄
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 70
63.1%
폐업 27
 
24.3%
폐쇄 14
 
12.6%

Length

2023-12-11T05:24:43.760194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:43.970670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 70
63.1%
폐업 27
 
24.3%
폐쇄 14
 
12.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)67.9%
Missing83
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean20078222
Minimum20020101
Maximum20190807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:44.162010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020101
5-th percentile20020207
Q120058175
median20070928
Q320093236
95-th percentile20170689
Maximum20190807
Range170706
Interquartile range (IQR)35061.5

Descriptive statistics

Standard deviation44609.478
Coefficient of variation (CV)0.0022217843
Kurtosis1.0080005
Mean20078222
Median Absolute Deviation (MAD)20193.5
Skewness0.9678837
Sum5.6219021 × 108
Variance1.9900055 × 109
MonotonicityNot monotonic
2023-12-11T05:24:44.363974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20070928 5
 
4.5%
20020101 2
 
1.8%
20080616 2
 
1.8%
20090914 2
 
1.8%
20061228 2
 
1.8%
20020712 2
 
1.8%
20050525 1
 
0.9%
20050527 1
 
0.9%
20140116 1
 
0.9%
20100427 1
 
0.9%
Other values (9) 9
 
8.1%
(Missing) 83
74.8%
ValueCountFrequency (%)
20020101 2
 
1.8%
20020403 1
 
0.9%
20020712 2
 
1.8%
20050525 1
 
0.9%
20050527 1
 
0.9%
20060724 1
 
0.9%
20061228 2
 
1.8%
20070820 1
 
0.9%
20070928 5
4.5%
20071212 1
 
0.9%
ValueCountFrequency (%)
20190807 1
0.9%
20181231 1
0.9%
20151111 1
0.9%
20140116 1
0.9%
20100427 1
0.9%
20100326 1
0.9%
20100203 1
0.9%
20090914 2
1.8%
20080616 2
1.8%
20071212 1
0.9%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
110 
20120101
 
1

Length

Max length8
Median length4
Mean length4.036036
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 110
99.1%
20120101 1
 
0.9%

Length

2023-12-11T05:24:44.599312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:44.774024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
99.1%
20120101 1
 
0.9%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct88
Distinct (%)88.0%
Missing11
Missing (%)9.9%
Memory size1020.0 B
2023-12-11T05:24:45.147394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.92
Min length7

Characters and Unicode

Total characters1092
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

Unique76 ?
Unique (%)76.0%

Sample

1st row053-287-3000
2nd row053-565-0780
3rd row053-565-3637
4th row053-565-0115
5th row053-565-0116
ValueCountFrequency (%)
053 46
28.6%
5001 2
 
1.2%
4600 2
 
1.2%
6386868 2
 
1.2%
9441874 2
 
1.2%
0535625160 2
 
1.2%
6237447 2
 
1.2%
0536237447 2
 
1.2%
6536086 2
 
1.2%
355 2
 
1.2%
Other values (89) 97
60.2%
2023-12-11T05:24:45.854411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 203
18.6%
5 202
18.5%
3 177
16.2%
6 84
7.7%
1 65
 
6.0%
61
 
5.6%
4 59
 
5.4%
8 58
 
5.3%
- 55
 
5.0%
2 46
 
4.2%
Other values (2) 82
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 976
89.4%
Space Separator 61
 
5.6%
Dash Punctuation 55
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
20.8%
5 202
20.7%
3 177
18.1%
6 84
8.6%
1 65
 
6.7%
4 59
 
6.0%
8 58
 
5.9%
2 46
 
4.7%
7 44
 
4.5%
9 38
 
3.9%
Space Separator
ValueCountFrequency (%)
61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 203
18.6%
5 202
18.5%
3 177
16.2%
6 84
7.7%
1 65
 
6.0%
61
 
5.6%
4 59
 
5.4%
8 58
 
5.3%
- 55
 
5.0%
2 46
 
4.2%
Other values (2) 82
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 203
18.6%
5 202
18.5%
3 177
16.2%
6 84
7.7%
1 65
 
6.0%
61
 
5.6%
4 59
 
5.4%
8 58
 
5.3%
- 55
 
5.0%
2 46
 
4.2%
Other values (2) 82
7.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)36.4%
Missing34
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean704390.31
Minimum701011
Maximum711837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:46.107330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum701011
5-th percentile701812.2
Q1703010
median704080
Q3705035
95-th percentile711834
Maximum711837
Range10826
Interquartile range (IQR)2025

Descriptive statistics

Standard deviation2768.1559
Coefficient of variation (CV)0.0039298608
Kurtosis2.3852269
Mean704390.31
Median Absolute Deviation (MAD)1064
Skewness1.6263316
Sum54238054
Variance7662686.8
MonotonicityNot monotonic
2023-12-11T05:24:46.326703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
701815 13
 
11.7%
704080 11
 
9.9%
703016 10
 
9.0%
703836 6
 
5.4%
705041 4
 
3.6%
706852 3
 
2.7%
703010 3
 
2.7%
711837 3
 
2.7%
705040 2
 
1.8%
711834 2
 
1.8%
Other values (18) 20
18.0%
(Missing) 34
30.6%
ValueCountFrequency (%)
701011 1
 
0.9%
701013 2
 
1.8%
701801 1
 
0.9%
701815 13
11.7%
702072 1
 
0.9%
703010 3
 
2.7%
703016 10
9.0%
703836 6
5.4%
704080 11
9.9%
704360 1
 
0.9%
ValueCountFrequency (%)
711837 3
2.7%
711834 2
1.8%
711830 1
 
0.9%
711812 1
 
0.9%
706852 3
2.7%
706841 1
 
0.9%
706091 1
 
0.9%
706060 1
 
0.9%
705041 4
3.6%
705040 2
1.8%

소재지전체주소
Categorical

Distinct30
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
대구광역시 동구 신암동 211번지
16 
대구광역시 서구 평리동 617-18번지
16 
대구광역시 달서구 성당동 670-25번지
12 
대구광역시 북구 고성동2가 113-2번지
11 
대구광역시 남구 대명동 1889-14번지
6 
Other values (25)
50 

Length

Max length27
Median length25
Mean length22.27027
Min length19

Unique

Unique11 ?
Unique (%)9.9%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 동구 신암동 211번지 16
14.4%
대구광역시 서구 평리동 617-18번지 16
14.4%
대구광역시 달서구 성당동 670-25번지 12
 
10.8%
대구광역시 북구 고성동2가 113-2번지 11
 
9.9%
대구광역시 남구 대명동 1889-14번지 6
 
5.4%
대구광역시 중구 태평로3가 190-6번지 5
 
4.5%
대구광역시 달성군 화원읍 천내리 27-3번지 5
 
4.5%
대구광역시 서구 평리동 618-19번지 4
 
3.6%
대구광역시 남구 대명동 1122-2 번지 3
 
2.7%
대구광역시 수성구 지산동 995-8번지 3
 
2.7%
Other values (20) 30
27.0%

Length

2023-12-11T05:24:46.906782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 111
24.3%
북구 21
 
4.6%
서구 20
 
4.4%
평리동 20
 
4.4%
달서구 17
 
3.7%
동구 17
 
3.7%
신암동 16
 
3.5%
211번지 16
 
3.5%
617-18번지 16
 
3.5%
대명동 16
 
3.5%
Other values (54) 186
40.8%

도로명전체주소
Categorical

Distinct28
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
13 
대구광역시 동구 아양로8길 11 (신암동)
10 
대구광역시 달서구 야외음악당로 103 (성당동)
9 
대구광역시 북구 고성로 142 (고성동2가)
9 
대구광역시 서구 서대구로 201 (평리동)
8 
Other values (23)
62 

Length

Max length33
Median length30
Mean length22.387387
Min length4

Unique

Unique9 ?
Unique (%)8.1%

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 (%)
<NA> 13
11.7%
대구광역시 동구 아양로8길 11 (신암동) 10
 
9.0%
대구광역시 달서구 야외음악당로 103 (성당동) 9
 
8.1%
대구광역시 북구 고성로 142 (고성동2가) 9
 
8.1%
대구광역시 서구 서대구로 201 (평리동) 8
 
7.2%
대구광역시 서구 서대구로 201 (평리동) 8
 
7.2%
대구광역시 남구 명덕로 134-1 (대명동) 6
 
5.4%
대구광역시 동구 아양로8길 11 (신암동) 6
 
5.4%
대구광역시 중구 태평로 65-10, 3층 (태평로3가) 5
 
4.5%
대구광역시 달성군 화원읍 화원로1길 36-4 5
 
4.5%
Other values (18) 32
28.8%

Length

2023-12-11T05:24:47.164710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 98
 
19.1%
평리동 20
 
3.9%
서구 20
 
3.9%
동구 17
 
3.3%
달서구 17
 
3.3%
북구 17
 
3.3%
201 16
 
3.1%
아양로8길 16
 
3.1%
11 16
 
3.1%
신암동 16
 
3.1%
Other values (62) 259
50.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)34.1%
Missing67
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean253672.82
Minimum41434
Maximum711837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:47.351556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41434
5-th percentile41440
Q141596
median42038.5
Q3703836
95-th percentile711837
Maximum711837
Range670403
Interquartile range (IQR)662240

Descriptive statistics

Standard deviation313662.17
Coefficient of variation (CV)1.2364832
Kurtosis-1.4121438
Mean253672.82
Median Absolute Deviation (MAD)442.5
Skewness0.80869953
Sum11161604
Variance9.8383958 × 1010
MonotonicityNot monotonic
2023-12-11T05:24:47.537791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
41596 11
 
9.9%
42409 6
 
5.4%
41901 5
 
4.5%
703836 5
 
4.5%
711837 5
 
4.5%
41434 2
 
1.8%
41440 2
 
1.8%
41762 1
 
0.9%
41469 1
 
0.9%
706091 1
 
0.9%
Other values (5) 5
 
4.5%
(Missing) 67
60.4%
ValueCountFrequency (%)
41434 2
 
1.8%
41440 2
 
1.8%
41469 1
 
0.9%
41596 11
9.9%
41762 1
 
0.9%
41901 5
4.5%
42176 1
 
0.9%
42409 6
5.4%
42970 1
 
0.9%
703836 5
4.5%
ValueCountFrequency (%)
711837 5
4.5%
711753 1
 
0.9%
706091 1
 
0.9%
704918 1
 
0.9%
704837 1
 
0.9%
703836 5
4.5%
42970 1
 
0.9%
42409 6
5.4%
42176 1
 
0.9%
41901 5
4.5%

사업장명
Text

Distinct85
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T05:24:47.919154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.7927928
Min length4

Characters and Unicode

Total characters754
Distinct characters78
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)57.7%

Sample

1st row(주)중성
2nd row대우위생(주)
3rd row중구정화(주)
4th row원진위생(주)
5th row한일청화주식회사
ValueCountFrequency (%)
주)달서정화조 4
 
3.6%
서부정화조(유 3
 
2.7%
남도위생(주 3
 
2.7%
주)강변정화위생 3
 
2.7%
주)시민 2
 
1.8%
주)월배정화조 2
 
1.8%
달구정화(주 2
 
1.8%
달서위생(주 2
 
1.8%
주)하림위생 2
 
1.8%
남구위생사 2
 
1.8%
Other values (75) 86
77.5%
2023-12-11T05:24:48.547192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 82
 
10.9%
) 82
 
10.9%
주 79
 
10.5%
위 54
 
7.2%
생 54
 
7.2%
화 47
 
6.2%
정 44
 
5.8%
조 25
 
3.3%
경 24
 
3.2%
구 24
 
3.2%
Other values (68) 239
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
78.2%
Open Punctuation 82
 
10.9%
Close Punctuation 82
 
10.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 79
 
13.4%
위 54
 
9.2%
생 54
 
9.2%
화 47
 
8.0%
정 44
 
7.5%
조 25
 
4.2%
경 24
 
4.1%
구 24
 
4.1%
달 16
 
2.7%
남 15
 
2.5%
Other values (66) 208
35.3%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
78.2%
Common 164
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 79
 
13.4%
위 54
 
9.2%
생 54
 
9.2%
화 47
 
8.0%
정 44
 
7.5%
조 25
 
4.2%
경 24
 
4.1%
구 24
 
4.1%
달 16
 
2.7%
남 15
 
2.5%
Other values (66) 208
35.3%
Common
ValueCountFrequency (%)
( 82
50.0%
) 82
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
78.2%
ASCII 164
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 82
50.0%
) 82
50.0%
Hangul
ValueCountFrequency (%)
주 79
 
13.4%
위 54
 
9.2%
생 54
 
9.2%
화 47
 
8.0%
정 44
 
7.5%
조 25
 
4.2%
경 24
 
4.1%
구 24
 
4.1%
달 16
 
2.7%
남 15
 
2.5%
Other values (66) 208
35.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0157113 × 1013
Minimum2.0020406 × 1013
Maximum2.0200212 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:48.746221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020406 × 1013
5-th percentile2.0050525 × 1013
Q12.0100375 × 1013
median2.0190905 × 1013
Q32.0200203 × 1013
95-th percentile2.0200212 × 1013
Maximum2.0200212 × 1013
Range1.7980601 × 1011
Interquartile range (IQR)9.982849 × 1010

Descriptive statistics

Standard deviation5.6157822 × 1010
Coefficient of variation (CV)0.0027860052
Kurtosis-0.34771236
Mean2.0157113 × 1013
Median Absolute Deviation (MAD)9.3069997 × 109
Skewness-1.033428
Sum2.2374395 × 1015
Variance3.153701 × 1021
MonotonicityNot monotonic
2023-12-11T05:24:48.959900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190920174230 1
 
0.9%
20200120143121 1
 
0.9%
20130704152241 1
 
0.9%
20180110104042 1
 
0.9%
20180608173357 1
 
0.9%
20190409162129 1
 
0.9%
20200210102023 1
 
0.9%
20151223095253 1
 
0.9%
20020406094947 1
 
0.9%
20020712101202 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
20020406094947 1
0.9%
20020520131540 1
0.9%
20020712100956 1
0.9%
20020712101202 1
0.9%
20040514164400 1
0.9%
20050519095522 1
0.9%
20050530102047 1
0.9%
20060724141503 1
0.9%
20061228155639 1
0.9%
20061228155805 1
0.9%
ValueCountFrequency (%)
20200212103139 1
0.9%
20200212102946 1
0.9%
20200212102257 1
0.9%
20200212102116 1
0.9%
20200212102043 1
0.9%
20200212102002 1
0.9%
20200212101829 1
0.9%
20200212101809 1
0.9%
20200212101742 1
0.9%
20200212095744 1
0.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
U
64 
I
47 

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 64
57.7%
I 47
42.3%

Length

2023-12-11T05:24:49.184038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:49.329444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 64
57.7%
i 47
42.3%

데이터갱신일자
Date

Distinct23
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2018-08-31 23:59:59
Maximum2020-02-14 02:40:00
2023-12-11T05:24:49.467534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:24:49.611318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
99 
분뇨 처리업
10 
하수처리, 폐기물처리 및 청소관련 서비스업
 
2

Length

Max length23
Median length4
Mean length4.5225225
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
89.2%
분뇨 처리업 10
 
9.0%
하수처리, 폐기물처리 및 청소관련 서비스업 2
 
1.8%

Length

2023-12-11T05:24:49.831623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:50.025570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
76.7%
분뇨 10
 
7.8%
처리업 10
 
7.8%
하수처리 2
 
1.6%
폐기물처리 2
 
1.6%
및 2
 
1.6%
청소관련 2
 
1.6%
서비스업 2
 
1.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)23.5%
Missing13
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean341764.98
Minimum331663.71
Maximum350029.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:50.213191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331663.71
5-th percentile335412.29
Q1340089.81
median340583.79
Q3343080.68
95-th percentile346245.59
Maximum350029.79
Range18366.081
Interquartile range (IQR)2990.8668

Descriptive statistics

Standard deviation3407.0477
Coefficient of variation (CV)0.0099689784
Kurtosis0.48829374
Mean341764.98
Median Absolute Deviation (MAD)2155.286
Skewness-0.32103183
Sum33492968
Variance11607974
MonotonicityNot monotonic
2023-12-11T05:24:50.473595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
340307.732389 16
14.4%
346167.636957 16
14.4%
340089.810411 12
10.8%
342739.079007 8
 
7.2%
343080.677255 6
 
5.4%
335412.290298 5
 
4.5%
342585.32336 5
 
4.5%
340282.132381 4
 
3.6%
342915.07815 3
 
2.7%
346245.585557 3
 
2.7%
Other values (13) 20
18.0%
(Missing) 13
11.7%
ValueCountFrequency (%)
331663.705928 1
 
0.9%
331770.735791 1
 
0.9%
335412.290298 5
4.5%
337160.204416 2
 
1.8%
337827.110178 2
 
1.8%
339184.114832 2
 
1.8%
339813.06123 1
 
0.9%
339814.124909 2
 
1.8%
339862.5926 1
 
0.9%
340089.810411 12
10.8%
ValueCountFrequency (%)
350029.786653 1
 
0.9%
346750.246549 3
 
2.7%
346245.585557 3
 
2.7%
346167.636957 16
14.4%
343476.576909 1
 
0.9%
343080.677255 6
 
5.4%
342915.07815 3
 
2.7%
342739.079007 8
7.2%
342730.862748 1
 
0.9%
342585.32336 5
 
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)23.5%
Missing13
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean263866.44
Minimum255218.28
Maximum272453.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T05:24:50.689620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum255218.28
5-th percentile257110.44
Q1261793.62
median265104.44
Q3265678.94
95-th percentile266601.02
Maximum272453.41
Range17235.137
Interquartile range (IQR)3885.3235

Descriptive statistics

Standard deviation3274.0121
Coefficient of variation (CV)0.012407838
Kurtosis1.1152493
Mean263866.44
Median Absolute Deviation (MAD)634.88665
Skewness-0.16626617
Sum25858911
Variance10719155
MonotonicityNot monotonic
2023-12-11T05:24:50.889107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
265104.435004 16
14.4%
265739.32165 16
14.4%
261793.621496 12
10.8%
265678.944992 8
 
7.2%
262945.79611 6
 
5.4%
257110.442035 5
 
4.5%
265118.16837 5
 
4.5%
265050.978256 4
 
3.6%
265642.340217 3
 
2.7%
261953.805328 3
 
2.7%
Other values (13) 20
18.0%
(Missing) 13
11.7%
ValueCountFrequency (%)
255218.275233 1
 
0.9%
257110.442035 5
4.5%
257769.378672 2
 
1.8%
258012.944248 2
 
1.8%
259818.860026 1
 
0.9%
260720.749614 3
 
2.7%
260861.595372 2
 
1.8%
261690.581987 1
 
0.9%
261793.621496 12
10.8%
261953.805328 3
 
2.7%
ValueCountFrequency (%)
272453.412525 2
 
1.8%
272173.966766 2
 
1.8%
269717.035024 1
 
0.9%
266051.129335 1
 
0.9%
265739.32165 16
14.4%
265678.944992 8
7.2%
265642.340217 3
 
2.7%
265613.947043 1
 
0.9%
265118.16837 5
 
4.5%
265104.435004 16
14.4%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
분뇨등관련영업관리
111 

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 111
100.0%

Length

2023-12-11T05:24:51.098425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:51.260787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등관련영업관리 111
100.0%

업종구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
99 
분뇨 처리업
10 
하수처리, 폐기물처리 및 청소관련 서비스업
 
2

Length

Max length23
Median length4
Mean length4.5225225
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
89.2%
분뇨 처리업 10
 
9.0%
하수처리, 폐기물처리 및 청소관련 서비스업 2
 
1.8%

Length

2023-12-11T05:24:51.444667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:51.631420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
76.7%
분뇨 10
 
7.8%
처리업 10
 
7.8%
하수처리 2
 
1.6%
폐기물처리 2
 
1.6%
및 2
 
1.6%
청소관련 2
 
1.6%
서비스업 2
 
1.6%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

배출시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

방지시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01분뇨수집운반업09_30_10_P341000034100005319950000119950222<NA>1영업/정상11영업<NA><NA><NA><NA>053-287-3000<NA><NA>대구광역시 중구 태평로3가 190-6번지대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901(주)중성20190920174230U2019-09-22 02:40:00.0<NA>342585.32336265118.16837분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
12분뇨수집운반업09_30_10_P341000034100005319950000219950222<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-0780<NA><NA>대구광역시 중구 태평로3가 190-6번지대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901대우위생(주)20200120143121U2020-01-22 02:40:00.0<NA>342585.32336265118.16837분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
23분뇨수집운반업09_30_10_P341000034100005319990000519990423<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-3637<NA><NA>대구광역시 중구 태평로3가 190-6번지대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901중구정화(주)20200120143224U2020-01-22 02:40:00.0분뇨 처리업342585.32336265118.16837분뇨등관련영업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
34분뇨수집운반업09_30_10_P341000034100005319950000419950222<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-0115<NA><NA>대구광역시 중구 태평로3가 190-6번지대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901원진위생(주)20191122162324U2019-11-26 02:40:00.0<NA>342585.32336265118.16837분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
45분뇨수집운반업09_30_10_P341000034100005319950000319950222<NA>1영업/정상11영업<NA><NA><NA><NA>053-565-0116<NA><NA>대구광역시 중구 태평로3가 190-6번지대구광역시 중구 태평로 65-10, 3층 (태평로3가)41901한일청화주식회사20191224180801U2019-12-26 02:40:00.0<NA>342585.32336265118.16837분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
56분뇨수집운반업09_30_10_P342000034200005300000000119930119<NA>1영업/정상11영업<NA><NA><NA><NA>05309414600<NA>701815대구광역시 동구 신암동 211번지대구광역시 동구 아양로8길 11 (신암동)<NA>남경위생(주)20200212095648U2020-02-14 02:40:00.0<NA>346167.636957265739.32165분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
67분뇨수집운반업09_30_10_P342000034200005300000000219930119<NA>1영업/정상11영업<NA><NA><NA><NA>05309513400<NA>701815대구광역시 동구 신암동 211번지대구광역시 동구 아양로8길 11 (신암동)<NA>현대위생(주)20200212095744U2020-02-14 02:40:00.0<NA>346167.636957265739.32165분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
78분뇨수집운반업09_30_10_P342000034200005300000000319930119<NA>1영업/정상11영업<NA><NA><NA><NA>053 9419200<NA>701815대구광역시 동구 신암동 211번지대구광역시 동구 아양로8길 11 (신암동)<NA>환경위생(주)20200212102946U2020-02-14 02:40:00.0<NA>346167.636957265739.32165분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
89분뇨수집운반업09_30_10_P342000034200005300000000519981114<NA>1영업/정상11영업<NA><NA><NA><NA>053 9410333<NA>701013대구광역시 동구 신암동 211번지대구광역시 동구 아양로8길 11 (신암동)<NA>동구정화조(주)20200212103139U2020-02-14 02:40:00.0<NA>346167.636957265739.32165분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
910분뇨수집운반업09_30_10_P342000034200005300000001620000124<NA>1영업/정상11영업<NA><NA><NA><NA>053 9441874<NA>701815대구광역시 동구 신암동 211번지대구광역시 동구 아양로8길 11 (신암동)<NA>(주)안심위생크리닉20200212102043U2020-02-14 02:40:00.0<NA>346167.636957265739.32165분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
101102분뇨수집운반업09_30_10_P347000034700005320080000320080603<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA>053 6347800<NA>704390대구광역시 달서구 유천동 366-1번지대구광역시 달서구 월배로 31-1 (유천동)<NA>달서위생(주)20091110152804I2018-08-31 23:59:59.0<NA>337160.204416258012.944248분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
102103분뇨수집운반업09_30_10_P347000034700005320000000319900120<NA>1영업/정상11영업<NA><NA><NA><NA>053 6341770<NA>704080대구광역시 달서구 성당동 670-25번지대구광역시 달서구 야외음악당로 103 (성당동)<NA>경북정화조(주)20050519095522I2018-08-31 23:59:59.0<NA>340089.810411261793.621496분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
103104분뇨수집운반업09_30_10_P348000034800005319940000119940517<NA>1영업/정상11영업20050525<NA><NA><NA>053 632 7858<NA>711830대구광역시 달성군 화원읍 천내리 54-1번지<NA><NA>달성위생20020520131540I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
104105분뇨수집운반업09_30_10_P348000034800005319941000119940517<NA>1영업/정상11영업<NA><NA><NA><NA>0536327858<NA>711834대구광역시 달성군 화원읍 천내리 27-3번지대구광역시 달성군 화원읍 화원로1길 36-4711837달성위생정화조20200131174238U2020-02-02 02:40:00.0<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
105106분뇨수집운반업09_30_10_P348000034800005319990000619990720<NA>1영업/정상11영업<NA><NA><NA><NA>053 617 0808<NA><NA>대구광역시 달성군 옥포면 본리리 2214-1번지대구광역시 달성군 옥포면 비슬로 216542970달성환경20200131174310U2020-02-02 02:40:00.0<NA>331770.735791255218.275233분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
106107분뇨수집운반업09_30_10_P348000034800005319991000619990729<NA>1영업/정상11영업<NA><NA><NA><NA>0536162003<NA>711837대구광역시 달성군 화원읍 천내리 27-3번지대구광역시 달성군 화원읍 화원로1길 36-4711837달성환경정화조20200203103721U2020-02-05 02:40:00.0<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
107108분뇨수집운반업09_30_10_P348000034800005319991000319990624<NA>1영업/정상11영업<NA><NA><NA><NA>0536117788<NA>711837대구광역시 달성군 화원읍 천내리 27-3번지대구광역시 달성군 화원읍 화원로1길 36-4711837칠칠위생(주)20200203103552U2020-02-05 02:40:00.0<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
108109분뇨수집운반업09_30_10_P348000034800005319991000420070330<NA>1영업/정상11영업<NA><NA><NA><NA>0536171133<NA>711837대구광역시 달성군 화원읍 천내리 27-3번지대구광역시 달성군 화원읍 화원로1길 36-4711837명신위생20200203103612U2020-02-05 02:40:00.0<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
109110분뇨수집운반업09_30_10_P348000034800005319991000520070330<NA>1영업/정상11영업<NA><NA><NA><NA>0536161133<NA>711834대구광역시 달성군 화원읍 천내리 27-3번지대구광역시 달성군 화원읍 화원로1길 36-4711837달남위생20200203103648U2020-02-05 02:40:00.0<NA>335412.290298257110.442035분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
110111분뇨수집운반업09_30_10_P348000034800005319991000220040218<NA>1영업/정상11영업<NA><NA><NA><NA>0535911617<NA>711812대구광역시 달성군 다사읍 매곡리 488번지대구광역시 달성군 다사읍 다사역로 36711753달성정화조20200203103532U2020-02-05 02:40:00.0<NA>331663.705928263830.996999분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>