Overview

Dataset statistics

Number of variables33
Number of observations7055
Missing cells57860
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory283.0 B

Variable types

Numeric13
Categorical9
Text6
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_09_30_13_P_쓰레기종량제봉투판매업_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091953&dataSetDetailId=DDI_0000091976&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
항목값1 has constant value ""Constant
영업상태구분코드 is highly imbalanced (53.9%)Imbalance
영업상태명 is highly imbalanced (53.9%)Imbalance
상세영업상태명 is highly imbalanced (63.6%)Imbalance
휴업종료일자 is highly imbalanced (99.7%)Imbalance
데이터갱신구분 is highly imbalanced (56.2%)Imbalance
인허가취소일자 has 7055 (100.0%) missing valuesMissing
폐업일자 has 4853 (68.8%) missing valuesMissing
휴업시작일자 has 5054 (71.6%) missing valuesMissing
재개업일자 has 7055 (100.0%) missing valuesMissing
소재지전화 has 2902 (41.1%) missing valuesMissing
소재지면적 has 7055 (100.0%) missing valuesMissing
소재지우편번호 has 1280 (18.1%) missing valuesMissing
소재지전체주소 has 329 (4.7%) missing valuesMissing
도로명전체주소 has 2410 (34.2%) missing valuesMissing
도로명우편번호 has 3336 (47.3%) missing valuesMissing
업태구분명 has 7055 (100.0%) missing valuesMissing
좌표정보(X) has 1726 (24.5%) missing valuesMissing
좌표정보(Y) has 1726 (24.5%) missing valuesMissing
소재지 has 1440 (20.4%) missing valuesMissing
지정일자 has 3381 (47.9%) missing valuesMissing
신청일자 has 1203 (17.1%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -51.74502535)Skewed
신청일자 is highly skewed (γ1 = -51.08838886)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-18 01:36:23.678941
Analysis finished2024-04-18 01:36:25.544685
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct7055
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3528
Minimum1
Maximum7055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:25.598914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile353.7
Q11764.5
median3528
Q35291.5
95-th percentile6702.3
Maximum7055
Range7054
Interquartile range (IQR)3527

Descriptive statistics

Standard deviation2036.7474
Coefficient of variation (CV)0.57730936
Kurtosis-1.2
Mean3528
Median Absolute Deviation (MAD)1764
Skewness0
Sum24890040
Variance4148340
MonotonicityStrictly increasing
2024-04-18T10:36:25.728145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4701 1
 
< 0.1%
4712 1
 
< 0.1%
4711 1
 
< 0.1%
4710 1
 
< 0.1%
4709 1
 
< 0.1%
4708 1
 
< 0.1%
4707 1
 
< 0.1%
4706 1
 
< 0.1%
4705 1
 
< 0.1%
Other values (7045) 7045
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
7055 1
< 0.1%
7054 1
< 0.1%
7053 1
< 0.1%
7052 1
< 0.1%
7051 1
< 0.1%
7050 1
< 0.1%
7049 1
< 0.1%
7048 1
< 0.1%
7047 1
< 0.1%
7046 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
쓰레기종량제봉투판매업
7055 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
쓰레기종량제봉투판매업 7055
100.0%

Length

2024-04-18T10:36:25.838746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:25.916623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 7055
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
09_30_13_P
7055 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_13_P
2nd row09_30_13_P
3rd row09_30_13_P
4th row09_30_13_P
5th row09_30_13_P

Common Values

ValueCountFrequency (%)
09_30_13_P 7055
100.0%

Length

2024-04-18T10:36:26.016135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:26.100659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 7055
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451209.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:26.171037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3460000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21727.188
Coefficient of variation (CV)0.0062955293
Kurtosis-1.0226041
Mean3451209.1
Median Absolute Deviation (MAD)10000
Skewness-0.66046677
Sum2.434828 × 1010
Variance4.7207069 × 108
MonotonicityIncreasing
2024-04-18T10:36:26.261045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3470000 2884
40.9%
3450000 1451
20.6%
3420000 968
 
13.7%
3410000 548
 
7.8%
3460000 503
 
7.1%
3430000 485
 
6.9%
3480000 216
 
3.1%
ValueCountFrequency (%)
3410000 548
 
7.8%
3420000 968
 
13.7%
3430000 485
 
6.9%
3450000 1451
20.6%
3460000 503
 
7.1%
3470000 2884
40.9%
3480000 216
 
3.1%
ValueCountFrequency (%)
3480000 216
 
3.1%
3470000 2884
40.9%
3460000 503
 
7.1%
3450000 1451
20.6%
3430000 485
 
6.9%
3420000 968
 
13.7%
3410000 548
 
7.8%

관리번호
Text

UNIQUE 

Distinct7055
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
2024-04-18T10:36:26.416574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters126990
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

Unique7055 ?
Unique (%)100.0%

Sample

1st row341000014200000341
2nd row341000014200000353
3rd row341000014200000355
4th row341000014200000412
5th row341000014200000439
ValueCountFrequency (%)
341000014200000341 1
 
< 0.1%
347000014201400071 1
 
< 0.1%
347000014201400004 1
 
< 0.1%
347000014201400003 1
 
< 0.1%
347000014201300106 1
 
< 0.1%
347000014201300105 1
 
< 0.1%
347000014201300104 1
 
< 0.1%
347000014201300102 1
 
< 0.1%
347000014201300101 1
 
< 0.1%
347000014201300089 1
 
< 0.1%
Other values (7045) 7045
99.9%
2024-04-18T10:36:26.677320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57851
45.6%
4 17180
 
13.5%
1 14773
 
11.6%
2 11746
 
9.2%
3 10269
 
8.1%
7 4742
 
3.7%
5 3877
 
3.1%
6 2638
 
2.1%
9 1978
 
1.6%
8 1934
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126988
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57851
45.6%
4 17180
 
13.5%
1 14773
 
11.6%
2 11746
 
9.2%
3 10269
 
8.1%
7 4742
 
3.7%
5 3877
 
3.1%
6 2638
 
2.1%
9 1978
 
1.6%
8 1934
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 126990
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57851
45.6%
4 17180
 
13.5%
1 14773
 
11.6%
2 11746
 
9.2%
3 10269
 
8.1%
7 4742
 
3.7%
5 3877
 
3.1%
6 2638
 
2.1%
9 1978
 
1.6%
8 1934
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57851
45.6%
4 17180
 
13.5%
1 14773
 
11.6%
2 11746
 
9.2%
3 10269
 
8.1%
7 4742
 
3.7%
5 3877
 
3.1%
6 2638
 
2.1%
9 1978
 
1.6%
8 1934
 
1.5%

인허가일자
Real number (ℝ)

Distinct3051
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20020547
Minimum2014
Maximum20211216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:26.811634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile19950104
Q120021210
median20070711
Q320120214
95-th percentile20180725
Maximum20211216
Range20209202
Interquartile range (IQR)99004

Descriptive statistics

Standard deviation1032822.8
Coefficient of variation (CV)0.05158814
Kurtosis363.44099
Mean20020547
Median Absolute Deviation (MAD)49503
Skewness-19.072564
Sum1.4124496 × 1011
Variance1.0667229 × 1012
MonotonicityNot monotonic
2024-04-18T10:36:26.928501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120105 176
 
2.5%
19950104 129
 
1.8%
20120106 122
 
1.7%
19950103 121
 
1.7%
20120102 118
 
1.7%
20120214 97
 
1.4%
20120108 93
 
1.3%
19950105 73
 
1.0%
20081231 70
 
1.0%
20120104 38
 
0.5%
Other values (3041) 6018
85.3%
ValueCountFrequency (%)
2014 1
 
< 0.1%
199411 8
0.1%
199501 2
 
< 0.1%
199508 1
 
< 0.1%
199707 1
 
< 0.1%
199804 1
 
< 0.1%
199807 1
 
< 0.1%
199903 1
 
< 0.1%
199912 1
 
< 0.1%
200003 1
 
< 0.1%
ValueCountFrequency (%)
20211216 2
< 0.1%
20211209 1
< 0.1%
20211208 1
< 0.1%
20211126 1
< 0.1%
20211124 1
< 0.1%
20211110 1
< 0.1%
20211109 1
< 0.1%
20211108 1
< 0.1%
20211019 1
< 0.1%
20211014 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7055
Missing (%)100.0%
Memory size62.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
1
4844 
3
2190 
4
 
19
2
 
2

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 4844
68.7%
3 2190
31.0%
4 19
 
0.3%
2 2
 
< 0.1%

Length

2024-04-18T10:36:27.036194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:27.125376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4844
68.7%
3 2190
31.0%
4 19
 
0.3%
2 2
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
영업/정상
4844 
폐업
2190 
취소/말소/만료/정지/중지
 
19
휴업
 
2

Length

Max length14
Median length5
Mean length4.0921332
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 4844
68.7%
폐업 2190
31.0%
취소/말소/만료/정지/중지 19
 
0.3%
휴업 2
 
< 0.1%

Length

2024-04-18T10:36:27.230207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:27.319770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4844
68.7%
폐업 2190
31.0%
취소/말소/만료/정지/중지 19
 
0.3%
휴업 2
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1686747
Minimum0
Maximum11
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:27.396489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median11
Q311
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.1778792
Coefficient of variation (CV)0.51145129
Kurtosis-1.3571184
Mean8.1686747
Median Absolute Deviation (MAD)0
Skewness-0.79971774
Sum57630
Variance17.454675
MonotonicityNot monotonic
2024-04-18T10:36:27.476099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
11 4833
68.5%
2 2190
31.0%
4 19
 
0.3%
0 8
 
0.1%
3 3
 
< 0.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
0 8
 
0.1%
1 2
 
< 0.1%
2 2190
31.0%
3 3
 
< 0.1%
4 19
 
0.3%
11 4833
68.5%
ValueCountFrequency (%)
11 4833
68.5%
4 19
 
0.3%
3 3
 
< 0.1%
2 2190
31.0%
1 2
 
< 0.1%
0 8
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
영업
4833 
폐업
2190 
폐쇄
 
19
<NA>
 
8
재개업
 
3

Length

Max length4
Median length2
Mean length2.0026931
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 4833
68.5%
폐업 2190
31.0%
폐쇄 19
 
0.3%
<NA> 8
 
0.1%
재개업 3
 
< 0.1%
휴업 2
 
< 0.1%

Length

2024-04-18T10:36:27.588835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:27.689947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 4833
68.5%
폐업 2190
31.0%
폐쇄 19
 
0.3%
na 8
 
0.1%
재개업 3
 
< 0.1%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1036
Distinct (%)47.0%
Missing4853
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean20136066
Minimum20010622
Maximum20211224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:27.791079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010622
5-th percentile20070924
Q120110924
median20140512
Q320160519
95-th percentile20210388
Maximum20211224
Range200602
Interquartile range (IQR)49594.5

Descriptive statistics

Standard deviation40049.295
Coefficient of variation (CV)0.0019889335
Kurtosis0.2035086
Mean20136066
Median Absolute Deviation (MAD)20412.5
Skewness-0.33528858
Sum4.4339617 × 1010
Variance1.6039461 × 109
MonotonicityNot monotonic
2024-04-18T10:36:27.906427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121231 136
 
1.9%
20090828 97
 
1.4%
20190326 86
 
1.2%
20151231 67
 
0.9%
20131231 50
 
0.7%
20210625 25
 
0.4%
20130102 23
 
0.3%
20081231 23
 
0.3%
20140527 22
 
0.3%
20140512 22
 
0.3%
Other values (1026) 1651
 
23.4%
(Missing) 4853
68.8%
ValueCountFrequency (%)
20010622 1
< 0.1%
20010712 1
< 0.1%
20010901 1
< 0.1%
20010904 2
< 0.1%
20010907 2
< 0.1%
20010918 1
< 0.1%
20011105 1
< 0.1%
20011224 1
< 0.1%
20020307 2
< 0.1%
20020313 1
< 0.1%
ValueCountFrequency (%)
20211224 1
 
< 0.1%
20210928 2
 
< 0.1%
20210830 1
 
< 0.1%
20210820 1
 
< 0.1%
20210817 1
 
< 0.1%
20210803 1
 
< 0.1%
20210722 1
 
< 0.1%
20210716 6
0.1%
20210713 1
 
< 0.1%
20210708 1
 
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct941
Distinct (%)47.0%
Missing5054
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean20135052
Minimum20050628
Maximum20200310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:28.024662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050628
5-th percentile20081021
Q120111209
median20140509
Q320160118
95-th percentile20190326
Maximum20200310
Range149682
Interquartile range (IQR)48909

Descriptive statistics

Standard deviation32114.853
Coefficient of variation (CV)0.0015949725
Kurtosis-0.72675762
Mean20135052
Median Absolute Deviation (MAD)19994
Skewness-0.11960914
Sum4.0290239 × 1010
Variance1.0313638 × 109
MonotonicityNot monotonic
2024-04-18T10:36:28.145620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121231 136
 
1.9%
20090828 98
 
1.4%
20190326 86
 
1.2%
20151231 67
 
0.9%
20131231 50
 
0.7%
20081231 23
 
0.3%
20130102 23
 
0.3%
20140527 22
 
0.3%
20140512 22
 
0.3%
20150224 20
 
0.3%
Other values (931) 1454
 
20.6%
(Missing) 5054
71.6%
ValueCountFrequency (%)
20050628 1
< 0.1%
20061002 1
< 0.1%
20061013 2
< 0.1%
20061031 1
< 0.1%
20061102 1
< 0.1%
20061109 1
< 0.1%
20061113 1
< 0.1%
20061128 1
< 0.1%
20061207 1
< 0.1%
20061220 1
< 0.1%
ValueCountFrequency (%)
20200310 1
< 0.1%
20191218 1
< 0.1%
20191118 1
< 0.1%
20191028 1
< 0.1%
20191024 1
< 0.1%
20191021 2
< 0.1%
20190905 1
< 0.1%
20190730 1
< 0.1%
20190626 1
< 0.1%
20190625 2
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
<NA>
7052 
20160701
 
1
20170101
 
1
20210412
 
1

Length

Max length8
Median length4
Mean length4.0017009
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7052
> 99.9%
20160701 1
 
< 0.1%
20170101 1
 
< 0.1%
20210412 1
 
< 0.1%

Length

2024-04-18T10:36:28.270814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:28.361021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7052
> 99.9%
20160701 1
 
< 0.1%
20170101 1
 
< 0.1%
20210412 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7055
Missing (%)100.0%
Memory size62.1 KiB

소재지전화
Text

MISSING 

Distinct3889
Distinct (%)93.6%
Missing2902
Missing (%)41.1%
Memory size55.2 KiB
2024-04-18T10:36:28.538846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.4184927
Min length3

Characters and Unicode

Total characters39115
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3663 ?
Unique (%)88.2%

Sample

1st row053 256 7567
2nd row053 422 1252
3rd row053 254 9879
4th row053 254 9039
5th row053 2562969
ValueCountFrequency (%)
053 782
 
14.4%
053585 14
 
0.3%
053588 11
 
0.2%
639 11
 
0.2%
581 10
 
0.2%
631 10
 
0.2%
053587 10
 
0.2%
053636 9
 
0.2%
053632 9
 
0.2%
053765 8
 
0.1%
Other values (4010) 4572
84.0%
2024-04-18T10:36:28.830847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6838
17.5%
3 6046
15.5%
0 4823
12.3%
6 3717
9.5%
2 3302
8.4%
1 2681
 
6.9%
8 2571
 
6.6%
9 2488
 
6.4%
4 2372
 
6.1%
7 2185
 
5.6%
Other values (4) 2092
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37023
94.7%
Space Separator 1372
 
3.5%
Dash Punctuation 717
 
1.8%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6838
18.5%
3 6046
16.3%
0 4823
13.0%
6 3717
10.0%
2 3302
8.9%
1 2681
 
7.2%
8 2571
 
6.9%
9 2488
 
6.7%
4 2372
 
6.4%
7 2185
 
5.9%
Space Separator
ValueCountFrequency (%)
1372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 717
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6838
17.5%
3 6046
15.5%
0 4823
12.3%
6 3717
9.5%
2 3302
8.4%
1 2681
 
6.9%
8 2571
 
6.6%
9 2488
 
6.4%
4 2372
 
6.1%
7 2185
 
5.6%
Other values (4) 2092
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6838
17.5%
3 6046
15.5%
0 4823
12.3%
6 3717
9.5%
2 3302
8.4%
1 2681
 
6.9%
8 2571
 
6.6%
9 2488
 
6.4%
4 2372
 
6.1%
7 2185
 
5.6%
Other values (4) 2092
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7055
Missing (%)100.0%
Memory size62.1 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct765
Distinct (%)13.2%
Missing1280
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean703565.73
Minimum3
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:28.975231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile700441.7
Q1702717.5
median704120
Q3704904
95-th percentile706779.7
Maximum711873
Range711870
Interquartile range (IQR)2186.5

Descriptive statistics

Standard deviation12012.31
Coefficient of variation (CV)0.017073473
Kurtosis2818.593
Mean703565.73
Median Absolute Deviation (MAD)1250
Skewness-51.745025
Sum4.0630921 × 109
Variance1.442956 × 108
MonotonicityNot monotonic
2024-04-18T10:36:29.109762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711840 52
 
0.7%
711855 51
 
0.7%
700081 51
 
0.7%
701010 49
 
0.7%
704360 47
 
0.7%
701300 46
 
0.7%
704180 44
 
0.6%
701120 44
 
0.6%
704910 41
 
0.6%
703014 39
 
0.6%
Other values (755) 5311
75.3%
(Missing) 1280
 
18.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
150095 1
 
< 0.1%
700010 6
 
0.1%
700020 1
 
< 0.1%
700030 2
 
< 0.1%
700050 3
 
< 0.1%
700060 4
 
0.1%
700070 6
 
0.1%
700081 51
0.7%
700082 1
 
< 0.1%
ValueCountFrequency (%)
711873 1
 
< 0.1%
711863 1
 
< 0.1%
711860 14
 
0.2%
711855 51
0.7%
711854 2
 
< 0.1%
711852 1
 
< 0.1%
711850 14
 
0.2%
711845 2
 
< 0.1%
711840 52
0.7%
711836 7
 
0.1%

소재지전체주소
Text

MISSING 

Distinct5331
Distinct (%)79.3%
Missing329
Missing (%)4.7%
Memory size55.2 KiB
2024-04-18T10:36:29.409078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length46
Mean length23.671276
Min length13

Characters and Unicode

Total characters159213
Distinct characters376
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4405 ?
Unique (%)65.5%

Sample

1st row대구광역시 중구 봉산동 150-1번지
2nd row대구광역시 중구 완전동 5-20번지
3rd row대구광역시 중구 태평로1가 17-6번지
4th row대구광역시 중구 수동 65-1번지
5th row대구광역시 중구 덕산동 38-1번지
ValueCountFrequency (%)
대구광역시 6722
22.4%
달서구 2742
 
9.1%
북구 1322
 
4.4%
번지 899
 
3.0%
동구 883
 
2.9%
중구 548
 
1.8%
수성구 504
 
1.7%
서구 491
 
1.6%
송현동 299
 
1.0%
상인동 275
 
0.9%
Other values (5662) 15350
51.1%
2024-04-18T10:36:29.825276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30982
19.5%
구 13358
 
8.4%
동 7947
 
5.0%
1 7732
 
4.9%
대 7069
 
4.4%
시 6792
 
4.3%
광 6743
 
4.2%
역 6738
 
4.2%
지 6652
 
4.2%
번 6334
 
4.0%
Other values (366) 58866
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91035
57.2%
Decimal Number 31754
 
19.9%
Space Separator 30982
 
19.5%
Dash Punctuation 5291
 
3.3%
Other Punctuation 70
 
< 0.1%
Uppercase Letter 56
 
< 0.1%
Math Symbol 8
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 13358
14.7%
동 7947
 
8.7%
대 7069
 
7.8%
시 6792
 
7.5%
광 6743
 
7.4%
역 6738
 
7.4%
지 6652
 
7.3%
번 6334
 
7.0%
서 3463
 
3.8%
달 2989
 
3.3%
Other values (329) 22950
25.2%
Uppercase Letter
ValueCountFrequency (%)
B 17
30.4%
S 6
 
10.7%
L 6
 
10.7%
A 6
 
10.7%
I 4
 
7.1%
C 4
 
7.1%
H 4
 
7.1%
W 3
 
5.4%
E 2
 
3.6%
O 1
 
1.8%
Other values (3) 3
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 7732
24.3%
2 3911
12.3%
3 3169
10.0%
4 2830
 
8.9%
0 2780
 
8.8%
5 2532
 
8.0%
7 2309
 
7.3%
6 2259
 
7.1%
9 2121
 
6.7%
8 2111
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 39
55.7%
/ 17
24.3%
@ 7
 
10.0%
. 7
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
62.5%
b 1
 
12.5%
c 1
 
12.5%
h 1
 
12.5%
Space Separator
ValueCountFrequency (%)
30982
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5291
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91035
57.2%
Common 68114
42.8%
Latin 64
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 13358
14.7%
동 7947
 
8.7%
대 7069
 
7.8%
시 6792
 
7.5%
광 6743
 
7.4%
역 6738
 
7.4%
지 6652
 
7.3%
번 6334
 
7.0%
서 3463
 
3.8%
달 2989
 
3.3%
Other values (329) 22950
25.2%
Common
ValueCountFrequency (%)
30982
45.5%
1 7732
 
11.4%
- 5291
 
7.8%
2 3911
 
5.7%
3 3169
 
4.7%
4 2830
 
4.2%
0 2780
 
4.1%
5 2532
 
3.7%
7 2309
 
3.4%
6 2259
 
3.3%
Other values (10) 4319
 
6.3%
Latin
ValueCountFrequency (%)
B 17
26.6%
S 6
 
9.4%
L 6
 
9.4%
A 6
 
9.4%
e 5
 
7.8%
I 4
 
6.2%
C 4
 
6.2%
H 4
 
6.2%
W 3
 
4.7%
E 2
 
3.1%
Other values (7) 7
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91035
57.2%
ASCII 68178
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30982
45.4%
1 7732
 
11.3%
- 5291
 
7.8%
2 3911
 
5.7%
3 3169
 
4.6%
4 2830
 
4.2%
0 2780
 
4.1%
5 2532
 
3.7%
7 2309
 
3.4%
6 2259
 
3.3%
Other values (27) 4383
 
6.4%
Hangul
ValueCountFrequency (%)
구 13358
14.7%
동 7947
 
8.7%
대 7069
 
7.8%
시 6792
 
7.5%
광 6743
 
7.4%
역 6738
 
7.4%
지 6652
 
7.3%
번 6334
 
7.0%
서 3463
 
3.8%
달 2989
 
3.3%
Other values (329) 22950
25.2%

도로명전체주소
Text

MISSING 

Distinct3801
Distinct (%)81.8%
Missing2410
Missing (%)34.2%
Memory size55.2 KiB
2024-04-18T10:36:30.132660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length56
Mean length27.065662
Min length16

Characters and Unicode

Total characters125720
Distinct characters402
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3170 ?
Unique (%)68.2%

Sample

1st row대구광역시 중구 달구벌대로 2127 (봉산동)
2nd row대구광역시 중구 교동2길 37-12 (완전동)
3rd row대구광역시 중구 교동3길 5 (태평로1가)
4th row대구광역시 중구 중앙대로81길 79 (수동)
5th row대구광역시 중구 종로 8 (덕산동)
ValueCountFrequency (%)
대구광역시 4641
 
18.3%
달서구 1905
 
7.5%
북구 1404
 
5.5%
동구 480
 
1.9%
중구 332
 
1.3%
서구 324
 
1.3%
1층 278
 
1.1%
송현동 199
 
0.8%
상인동 191
 
0.8%
산격동 184
 
0.7%
Other values (3118) 15368
60.7%
2024-04-18T10:36:30.560651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21400
 
17.0%
구 9771
 
7.8%
동 6263
 
5.0%
대 5685
 
4.5%
1 4752
 
3.8%
시 4709
 
3.7%
역 4666
 
3.7%
광 4655
 
3.7%
) 4578
 
3.6%
( 4577
 
3.6%
Other values (392) 54664
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74178
59.0%
Space Separator 21400
 
17.0%
Decimal Number 18749
 
14.9%
Close Punctuation 4578
 
3.6%
Open Punctuation 4577
 
3.6%
Other Punctuation 1556
 
1.2%
Dash Punctuation 584
 
0.5%
Uppercase Letter 61
 
< 0.1%
Math Symbol 23
 
< 0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 9771
 
13.2%
동 6263
 
8.4%
대 5685
 
7.7%
시 4709
 
6.3%
역 4666
 
6.3%
광 4655
 
6.3%
로 4533
 
6.1%
서 2824
 
3.8%
달 2343
 
3.2%
길 2336
 
3.1%
Other values (348) 26393
35.6%
Uppercase Letter
ValueCountFrequency (%)
B 19
31.1%
A 10
16.4%
S 5
 
8.2%
H 4
 
6.6%
I 4
 
6.6%
C 4
 
6.6%
K 2
 
3.3%
D 2
 
3.3%
M 2
 
3.3%
L 2
 
3.3%
Other values (6) 7
 
11.5%
Decimal Number
ValueCountFrequency (%)
1 4752
25.3%
2 2644
14.1%
3 2117
11.3%
0 1805
 
9.6%
4 1543
 
8.2%
5 1502
 
8.0%
7 1238
 
6.6%
6 1232
 
6.6%
9 967
 
5.2%
8 949
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
50.0%
h 1
 
7.1%
s 1
 
7.1%
u 1
 
7.1%
l 1
 
7.1%
p 1
 
7.1%
m 1
 
7.1%
o 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1544
99.2%
/ 5
 
0.3%
. 3
 
0.2%
@ 2
 
0.1%
· 2
 
0.1%
Space Separator
ValueCountFrequency (%)
21400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4578
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4577
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 584
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74178
59.0%
Common 51467
40.9%
Latin 75
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 9771
 
13.2%
동 6263
 
8.4%
대 5685
 
7.7%
시 4709
 
6.3%
역 4666
 
6.3%
광 4655
 
6.3%
로 4533
 
6.1%
서 2824
 
3.8%
달 2343
 
3.2%
길 2336
 
3.1%
Other values (348) 26393
35.6%
Latin
ValueCountFrequency (%)
B 19
25.3%
A 10
13.3%
e 7
 
9.3%
S 5
 
6.7%
H 4
 
5.3%
I 4
 
5.3%
C 4
 
5.3%
K 2
 
2.7%
D 2
 
2.7%
M 2
 
2.7%
Other values (14) 16
21.3%
Common
ValueCountFrequency (%)
21400
41.6%
1 4752
 
9.2%
) 4578
 
8.9%
( 4577
 
8.9%
2 2644
 
5.1%
3 2117
 
4.1%
0 1805
 
3.5%
, 1544
 
3.0%
4 1543
 
3.0%
5 1502
 
2.9%
Other values (10) 5005
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74178
59.0%
ASCII 51540
41.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21400
41.5%
1 4752
 
9.2%
) 4578
 
8.9%
( 4577
 
8.9%
2 2644
 
5.1%
3 2117
 
4.1%
0 1805
 
3.5%
, 1544
 
3.0%
4 1543
 
3.0%
5 1502
 
2.9%
Other values (33) 5078
 
9.9%
Hangul
ValueCountFrequency (%)
구 9771
 
13.2%
동 6263
 
8.4%
대 5685
 
7.7%
시 4709
 
6.3%
역 4666
 
6.3%
광 4655
 
6.3%
로 4533
 
6.1%
서 2824
 
3.8%
달 2343
 
3.2%
길 2336
 
3.1%
Other values (348) 26393
35.6%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct888
Distinct (%)23.9%
Missing3336
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean522511.77
Minimum39037
Maximum711833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:30.671453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39037
5-th percentile41476.9
Q142790.5
median702831
Q3704819.5
95-th percentile704936
Maximum711833
Range672796
Interquartile range (IQR)662029

Descriptive statistics

Standard deviation294929.3
Coefficient of variation (CV)0.56444528
Kurtosis-0.9695711
Mean522511.77
Median Absolute Deviation (MAD)2008
Skewness-1.0153071
Sum1.9432213 × 109
Variance8.6983293 × 1010
MonotonicityNot monotonic
2024-04-18T10:36:30.771406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702886 40
 
0.6%
704914 30
 
0.4%
704910 29
 
0.4%
704834 29
 
0.4%
704915 29
 
0.4%
704827 29
 
0.4%
702894 25
 
0.4%
704837 25
 
0.4%
704817 24
 
0.3%
702863 24
 
0.3%
Other values (878) 3435
48.7%
(Missing) 3336
47.3%
ValueCountFrequency (%)
39037 1
 
< 0.1%
39852 1
 
< 0.1%
39855 1
 
< 0.1%
41156 2
< 0.1%
41192 1
 
< 0.1%
41400 2
< 0.1%
41401 3
< 0.1%
41402 3
< 0.1%
41403 2
< 0.1%
41405 2
< 0.1%
ValueCountFrequency (%)
711833 3
< 0.1%
711831 5
0.1%
705824 1
 
< 0.1%
705803 2
 
< 0.1%
704975 1
 
< 0.1%
704974 1
 
< 0.1%
704973 3
< 0.1%
704972 1
 
< 0.1%
704966 1
 
< 0.1%
704965 2
 
< 0.1%

사업장명
Text

Distinct4994
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
2024-04-18T10:36:31.004850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length6.7515237
Min length2

Characters and Unicode

Total characters47632
Distinct characters597
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4242 ?
Unique (%)60.1%

Sample

1st row세븐일레븐
2nd row길슈퍼
3rd row골목슈퍼
4th row현대슈퍼
5th row대원슈퍼
ValueCountFrequency (%)
신우유통 175
 
2.0%
gs25 172
 
2.0%
씨유 157
 
1.8%
세븐일레븐 150
 
1.7%
홈마트 125
 
1.4%
대백마트 67
 
0.8%
훼미리마트 63
 
0.7%
이마트24 62
 
0.7%
원마트 55
 
0.6%
코사마트 54
 
0.6%
Other values (4841) 7575
87.5%
2024-04-18T10:36:31.321982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 2995
 
6.3%
트 2994
 
6.3%
점 2452
 
5.1%
1608
 
3.4%
대 1420
 
3.0%
퍼 1076
 
2.3%
구 973
 
2.0%
유 962
 
2.0%
슈 901
 
1.9%
2 788
 
1.7%
Other values (587) 31463
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41090
86.3%
Decimal Number 1752
 
3.7%
Space Separator 1608
 
3.4%
Uppercase Letter 1471
 
3.1%
Open Punctuation 644
 
1.4%
Close Punctuation 644
 
1.4%
Lowercase Letter 205
 
0.4%
Other Punctuation 160
 
0.3%
Dash Punctuation 35
 
0.1%
Other Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 2995
 
7.3%
트 2994
 
7.3%
점 2452
 
6.0%
대 1420
 
3.5%
퍼 1076
 
2.6%
구 973
 
2.4%
유 962
 
2.3%
슈 901
 
2.2%
인 767
 
1.9%
스 671
 
1.6%
Other values (520) 25879
63.0%
Uppercase Letter
ValueCountFrequency (%)
G 440
29.9%
S 439
29.8%
C 116
 
7.9%
K 99
 
6.7%
L 73
 
5.0%
O 53
 
3.6%
U 44
 
3.0%
A 39
 
2.7%
M 28
 
1.9%
N 21
 
1.4%
Other values (15) 119
 
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 26
12.7%
e 24
11.7%
y 19
 
9.3%
r 16
 
7.8%
t 15
 
7.3%
m 14
 
6.8%
i 12
 
5.9%
s 12
 
5.9%
u 10
 
4.9%
o 9
 
4.4%
Other values (9) 48
23.4%
Decimal Number
ValueCountFrequency (%)
2 788
45.0%
5 490
28.0%
4 228
 
13.0%
1 87
 
5.0%
0 56
 
3.2%
3 54
 
3.1%
7 26
 
1.5%
6 18
 
1.0%
9 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
* 113
70.6%
& 28
 
17.5%
. 15
 
9.4%
＆ 1
 
0.6%
! 1
 
0.6%
/ 1
 
0.6%
, 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
1608
100.0%
Open Punctuation
ValueCountFrequency (%)
( 644
100.0%
Close Punctuation
ValueCountFrequency (%)
) 644
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41111
86.3%
Common 4845
 
10.2%
Latin 1676
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 2995
 
7.3%
트 2994
 
7.3%
점 2452
 
6.0%
대 1420
 
3.5%
퍼 1076
 
2.6%
구 973
 
2.4%
유 962
 
2.3%
슈 901
 
2.2%
인 767
 
1.9%
스 671
 
1.6%
Other values (521) 25900
63.0%
Latin
ValueCountFrequency (%)
G 440
26.3%
S 439
26.2%
C 116
 
6.9%
K 99
 
5.9%
L 73
 
4.4%
O 53
 
3.2%
U 44
 
2.6%
A 39
 
2.3%
M 28
 
1.7%
a 26
 
1.6%
Other values (34) 319
19.0%
Common
ValueCountFrequency (%)
1608
33.2%
2 788
16.3%
( 644
13.3%
) 644
13.3%
5 490
 
10.1%
4 228
 
4.7%
* 113
 
2.3%
1 87
 
1.8%
0 56
 
1.2%
3 54
 
1.1%
Other values (12) 133
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41090
86.3%
ASCII 6520
 
13.7%
None 22
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 2995
 
7.3%
트 2994
 
7.3%
점 2452
 
6.0%
대 1420
 
3.5%
퍼 1076
 
2.6%
구 973
 
2.4%
유 962
 
2.3%
슈 901
 
2.2%
인 767
 
1.9%
스 671
 
1.6%
Other values (520) 25879
63.0%
ASCII
ValueCountFrequency (%)
1608
24.7%
2 788
12.1%
( 644
9.9%
) 644
9.9%
5 490
 
7.5%
G 440
 
6.7%
S 439
 
6.7%
4 228
 
3.5%
C 116
 
1.8%
* 113
 
1.7%
Other values (55) 1010
15.5%
None
ValueCountFrequency (%)
㈜ 21
95.5%
＆ 1
 
4.5%

최종수정시점
Real number (ℝ)

Distinct5151
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0123137 × 1013
Minimum2.007063 × 1013
Maximum2.0211231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:31.435362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007063 × 1013
5-th percentile2.007063 × 1013
Q12.0070714 × 1013
median2.012083 × 1013
Q32.0160118 × 1013
95-th percentile2.0200916 × 1013
Maximum2.0211231 × 1013
Range1.4060103 × 1011
Interquartile range (IQR)8.9404 × 1010

Descriptive statistics

Standard deviation4.4321097 × 1010
Coefficient of variation (CV)0.0022024945
Kurtosis-1.0887735
Mean2.0123137 × 1013
Median Absolute Deviation (MAD)3.9896942 × 1010
Skewness0.28652011
Sum1.4196873 × 1017
Variance1.9643597 × 1021
MonotonicityNot monotonic
2024-04-18T10:36:31.542877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070714112355 502
 
7.1%
20070714113128 436
 
6.2%
20070630104619 354
 
5.0%
20070714133604 278
 
3.9%
20070714114235 215
 
3.0%
20070714122950 116
 
1.6%
20071106162732 4
 
0.1%
20140109100838 3
 
< 0.1%
20140114100535 2
 
< 0.1%
20190402104315 2
 
< 0.1%
Other values (5141) 5143
72.9%
ValueCountFrequency (%)
20070630104619 354
5.0%
20070714112355 502
7.1%
20070714113128 436
6.2%
20070714114235 215
3.0%
20070714122950 116
 
1.6%
20070714133604 278
3.9%
20070719101032 1
 
< 0.1%
20070719151425 1
 
< 0.1%
20070725133429 1
 
< 0.1%
20070725134358 1
 
< 0.1%
ValueCountFrequency (%)
20211231132901 1
< 0.1%
20211228140435 1
< 0.1%
20211227140102 1
< 0.1%
20211223173630 1
< 0.1%
20211217172211 1
< 0.1%
20211217115519 1
< 0.1%
20211216163541 1
< 0.1%
20211216144906 1
< 0.1%
20211216091000 1
< 0.1%
20211209172754 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
I
6417 
U
 
638

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6417
91.0%
U 638
 
9.0%

Length

2024-04-18T10:36:31.647394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:31.723871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6417
91.0%
u 638
 
9.0%

데이터갱신일자
Date

Distinct399
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-02 02:40:00
2024-04-18T10:36:31.811849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:36:31.922083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7055
Missing (%)100.0%
Memory size62.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3554
Distinct (%)66.7%
Missing1726
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean341165.41
Minimum189859.07
Maximum358671.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:32.029154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189859.07
5-th percentile335037.06
Q1338468.02
median340125.67
Q3344014.38
95-th percentile348676.55
Maximum358671.3
Range168812.23
Interquartile range (IQR)5546.3586

Descriptive statistics

Standard deviation4872.5923
Coefficient of variation (CV)0.014282199
Kurtosis174.57871
Mean341165.41
Median Absolute Deviation (MAD)2257.8021
Skewness-4.969105
Sum1.8180705 × 109
Variance23742156
MonotonicityNot monotonic
2024-04-18T10:36:32.136178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336954.220302 13
 
0.2%
347950.194975 11
 
0.2%
338088.198632 9
 
0.1%
337950.916001 9
 
0.1%
338980.965932 9
 
0.1%
339324.389142 8
 
0.1%
343538.563051 8
 
0.1%
337885.924275 7
 
0.1%
338969.480757 7
 
0.1%
339810.911877 7
 
0.1%
Other values (3544) 5241
74.3%
(Missing) 1726
 
24.5%
ValueCountFrequency (%)
189859.071768836 1
 
< 0.1%
326605.700797 1
 
< 0.1%
328357.519907 1
 
< 0.1%
328379.70652 1
 
< 0.1%
328432.256141 3
< 0.1%
329190.796671 1
 
< 0.1%
329266.125021 1
 
< 0.1%
329276.638953 1
 
< 0.1%
329588.32283 1
 
< 0.1%
329704.402658 1
 
< 0.1%
ValueCountFrequency (%)
358671.296812 1
< 0.1%
356589.560791 1
< 0.1%
356563.89782 1
< 0.1%
356486.864993 2
< 0.1%
356461.2317 1
< 0.1%
356410.892344 1
< 0.1%
356408.030327 1
< 0.1%
356378.752341 1
< 0.1%
356336.944398 1
< 0.1%
356333.0 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3552
Distinct (%)66.7%
Missing1726
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean263833.14
Minimum244299.12
Maximum445875.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:32.250603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244299.12
5-th percentile257819.22
Q1260943.63
median263180.54
Q3266361.17
95-th percentile271899.84
Maximum445875.9
Range201576.78
Interquartile range (IQR)5417.5484

Descriptive statistics

Standard deviation4883.5315
Coefficient of variation (CV)0.018509925
Kurtosis361.80942
Mean263833.14
Median Absolute Deviation (MAD)2725.4956
Skewness9.9337086
Sum1.4059668 × 109
Variance23848879
MonotonicityNot monotonic
2024-04-18T10:36:32.364207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262321.195205 13
 
0.2%
265687.62574 11
 
0.2%
263378.345914 10
 
0.1%
261689.070956 9
 
0.1%
258268.984702 9
 
0.1%
266594.606539 8
 
0.1%
259405.796434 8
 
0.1%
259800.728047 7
 
0.1%
259679.933297 7
 
0.1%
262821.993377 7
 
0.1%
Other values (3542) 5240
74.3%
(Missing) 1726
 
24.5%
ValueCountFrequency (%)
244299.117529 1
< 0.1%
247912.836348 1
< 0.1%
247977.766857 1
< 0.1%
248062.50507 1
< 0.1%
248384.342695 1
< 0.1%
248497.342229 1
< 0.1%
248540.845754 1
< 0.1%
248571.876144 1
< 0.1%
248665.436809 1
< 0.1%
248679.485213 1
< 0.1%
ValueCountFrequency (%)
445875.89672273 1
< 0.1%
292024.590733752 1
< 0.1%
286377.763753217 1
< 0.1%
278048.41446 1
< 0.1%
277985.228016 1
< 0.1%
277895.651799 1
< 0.1%
277798.822544 1
< 0.1%
277784.134758 1
< 0.1%
277492.526875 1
< 0.1%
277468.134319 2
< 0.1%

업소구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
지정
4481 
종료
2077 
<NA>
497 

Length

Max length4
Median length2
Mean length2.140893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 4481
63.5%
종료 2077
29.4%
<NA> 497
 
7.0%

Length

2024-04-18T10:36:32.478964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:32.564554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 4481
63.5%
종료 2077
29.4%
na 497
 
7.0%

소재지
Text

MISSING 

Distinct4893
Distinct (%)87.1%
Missing1440
Missing (%)20.4%
Memory size55.2 KiB
2024-04-18T10:36:32.853494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length47
Mean length20.083704
Min length2

Characters and Unicode

Total characters112770
Distinct characters422
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4350 ?
Unique (%)77.5%

Sample

1st row대구광역시 중구 봉산동 150번지 1호
2nd row대구광역시 중구 완전동 5번지 20호
3rd row대구광역시 중구 태평로1가 17번지 6호
4th row대구광역시 중구 수동 65번지 1호
5th row대구광역시 중구 덕산동 38번지 1호
ValueCountFrequency (%)
대구광역시 4232
 
17.7%
달서구 2003
 
8.4%
북구 1266
 
5.3%
1호 509
 
2.1%
2호 282
 
1.2%
수성구 263
 
1.1%
동구 256
 
1.1%
중구 250
 
1.0%
서구 241
 
1.0%
3호 223
 
0.9%
Other values (4452) 14434
60.2%
2024-04-18T10:36:33.275443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18542
 
16.4%
구 8720
 
7.7%
1 6440
 
5.7%
동 5519
 
4.9%
대 4554
 
4.0%
지 4349
 
3.9%
시 4309
 
3.8%
역 4266
 
3.8%
광 4264
 
3.8%
번 4098
 
3.6%
Other values (412) 47709
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66220
58.7%
Decimal Number 26141
 
23.2%
Space Separator 18542
 
16.4%
Dash Punctuation 1545
 
1.4%
Uppercase Letter 97
 
0.1%
Other Punctuation 90
 
0.1%
Close Punctuation 56
 
< 0.1%
Open Punctuation 55
 
< 0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 8720
13.2%
동 5519
 
8.3%
대 4554
 
6.9%
지 4349
 
6.6%
시 4309
 
6.5%
역 4266
 
6.4%
광 4264
 
6.4%
번 4098
 
6.2%
호 3332
 
5.0%
서 2479
 
3.7%
Other values (370) 20330
30.7%
Uppercase Letter
ValueCountFrequency (%)
B 21
21.6%
A 21
21.6%
S 14
14.4%
L 7
 
7.2%
I 5
 
5.2%
K 5
 
5.2%
C 4
 
4.1%
G 4
 
4.1%
H 3
 
3.1%
W 3
 
3.1%
Other values (6) 10
10.3%
Decimal Number
ValueCountFrequency (%)
1 6440
24.6%
2 3353
12.8%
3 2605
10.0%
4 2341
 
9.0%
0 2332
 
8.9%
5 2048
 
7.8%
7 1866
 
7.1%
6 1787
 
6.8%
9 1719
 
6.6%
8 1650
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
50.0%
c 2
 
20.0%
h 1
 
10.0%
t 1
 
10.0%
s 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 42
46.7%
/ 26
28.9%
. 14
 
15.6%
@ 8
 
8.9%
Math Symbol
ValueCountFrequency (%)
~ 12
92.3%
= 1
 
7.7%
Space Separator
ValueCountFrequency (%)
18542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1545
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66220
58.7%
Common 46443
41.2%
Latin 107
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 8720
13.2%
동 5519
 
8.3%
대 4554
 
6.9%
지 4349
 
6.6%
시 4309
 
6.5%
역 4266
 
6.4%
광 4264
 
6.4%
번 4098
 
6.2%
호 3332
 
5.0%
서 2479
 
3.7%
Other values (370) 20330
30.7%
Common
ValueCountFrequency (%)
18542
39.9%
1 6440
 
13.9%
2 3353
 
7.2%
3 2605
 
5.6%
4 2341
 
5.0%
0 2332
 
5.0%
5 2048
 
4.4%
7 1866
 
4.0%
6 1787
 
3.8%
9 1719
 
3.7%
Other values (11) 3410
 
7.3%
Latin
ValueCountFrequency (%)
B 21
19.6%
A 21
19.6%
S 14
13.1%
L 7
 
6.5%
I 5
 
4.7%
K 5
 
4.7%
e 5
 
4.7%
C 4
 
3.7%
G 4
 
3.7%
H 3
 
2.8%
Other values (11) 18
16.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66219
58.7%
ASCII 46550
41.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18542
39.8%
1 6440
 
13.8%
2 3353
 
7.2%
3 2605
 
5.6%
4 2341
 
5.0%
0 2332
 
5.0%
5 2048
 
4.4%
7 1866
 
4.0%
6 1787
 
3.8%
9 1719
 
3.7%
Other values (32) 3517
 
7.6%
Hangul
ValueCountFrequency (%)
구 8720
13.2%
동 5519
 
8.3%
대 4554
 
6.9%
지 4349
 
6.6%
시 4309
 
6.5%
역 4266
 
6.4%
광 4264
 
6.4%
번 4098
 
6.2%
호 3332
 
5.0%
서 2479
 
3.7%
Other values (369) 20329
30.7%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%

지정일자
Real number (ℝ)

MISSING 

Distinct1911
Distinct (%)52.0%
Missing3381
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean20124640
Minimum19940104
Maximum20211228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:33.402892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940104
5-th percentile20060314
Q120091046
median20120306
Q320160404
95-th percentile20190805
Maximum20211228
Range271124
Interquartile range (IQR)69357.5

Descriptive statistics

Standard deviation43876.56
Coefficient of variation (CV)0.0021802408
Kurtosis0.62555674
Mean20124640
Median Absolute Deviation (MAD)30305
Skewness-0.38459783
Sum7.3937927 × 1010
Variance1.9251525 × 109
MonotonicityNot monotonic
2024-04-18T10:36:33.515197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081231 128
 
1.8%
20120214 95
 
1.3%
20120106 77
 
1.1%
20120102 65
 
0.9%
20111230 35
 
0.5%
20120215 34
 
0.5%
20111229 23
 
0.3%
20120105 22
 
0.3%
20081230 22
 
0.3%
20111226 20
 
0.3%
Other values (1901) 3153
44.7%
(Missing) 3381
47.9%
ValueCountFrequency (%)
19940104 3
< 0.1%
19941215 1
 
< 0.1%
19941228 4
0.1%
19950105 1
 
< 0.1%
19950109 2
< 0.1%
19950119 1
 
< 0.1%
19950406 1
 
< 0.1%
19950705 1
 
< 0.1%
19950904 1
 
< 0.1%
19951220 1
 
< 0.1%
ValueCountFrequency (%)
20211228 1
< 0.1%
20211223 1
< 0.1%
20211217 1
< 0.1%
20211216 1
< 0.1%
20211215 1
< 0.1%
20211209 1
< 0.1%
20211208 1
< 0.1%
20211203 1
< 0.1%
20211130 1
< 0.1%
20211126 1
< 0.1%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct2897
Distinct (%)49.5%
Missing1203
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean20080067
Minimum2010115
Maximum20211224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.1 KiB
2024-04-18T10:36:33.624402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010115
5-th percentile19950105
Q120040113
median20090604
Q320131145
95-th percentile20190118
Maximum20211224
Range18201109
Interquartile range (IQR)91032.25

Descriptive statistics

Standard deviation340537.61
Coefficient of variation (CV)0.016958988
Kurtosis2709.7712
Mean20080067
Median Absolute Deviation (MAD)50072.5
Skewness-51.088389
Sum1.1750855 × 1011
Variance1.1596586 × 1011
MonotonicityNot monotonic
2024-04-18T10:36:33.735862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120106 137
 
1.9%
19950104 127
 
1.8%
20120214 91
 
1.3%
19950105 74
 
1.0%
20120105 72
 
1.0%
20120102 71
 
1.0%
20081231 66
 
0.9%
19950103 61
 
0.9%
20120215 34
 
0.5%
20111230 32
 
0.5%
Other values (2887) 5087
72.1%
(Missing) 1203
 
17.1%
ValueCountFrequency (%)
2010115 2
 
< 0.1%
19940104 3
 
< 0.1%
19940801 7
 
0.1%
19941001 2
 
< 0.1%
19941201 8
0.1%
19941205 1
 
< 0.1%
19941206 4
 
0.1%
19941215 1
 
< 0.1%
19941216 11
0.2%
19941226 18
0.3%
ValueCountFrequency (%)
20211224 1
< 0.1%
20211217 1
< 0.1%
20211216 1
< 0.1%
20211214 1
< 0.1%
20211208 1
< 0.1%
20211124 2
< 0.1%
20211116 1
< 0.1%
20211115 1
< 0.1%
20211105 1
< 0.1%
20211104 2
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.2 KiB
관급봉투
7055 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 7055
100.0%

Length

2024-04-18T10:36:33.843579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:36:33.917521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 7055
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
01쓰레기종량제봉투판매업09_30_13_P341000034100001420000034119970829<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700822대구광역시 중구 봉산동 150-1번지대구광역시 중구 달구벌대로 2127 (봉산동)700822세븐일레븐20140107135448I2018-08-31 23:59:59.0<NA>344137.067824263958.211083지정대구광역시 중구 봉산동 150번지 1호<NA><NA>관급봉투
12쓰레기종량제봉투판매업09_30_13_P341000034100001420000035320000406<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700170대구광역시 중구 완전동 5-20번지대구광역시 중구 교동2길 37-12 (완전동)700170길슈퍼20140108095307I2018-08-31 23:59:59.0<NA>344269.914275264771.984797지정대구광역시 중구 완전동 5번지 20호<NA><NA>관급봉투
23쓰레기종량제봉투판매업09_30_13_P341000034100001420000035520000816<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700111대구광역시 중구 태평로1가 17-6번지대구광역시 중구 교동3길 5 (태평로1가)700111골목슈퍼20140108095610I2018-08-31 23:59:59.0<NA>344311.973766264922.993088지정대구광역시 중구 태평로1가 17번지 6호<NA><NA>관급봉투
34쓰레기종량제봉투판매업09_30_13_P341000034100001420000041219941124<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700220대구광역시 중구 수동 65-1번지대구광역시 중구 중앙대로81길 79 (수동)700220현대슈퍼20140108101631I2018-08-31 23:59:59.0<NA>343467.549082264406.549829지정대구광역시 중구 수동 65번지 1호<NA><NA>관급봉투
45쓰레기종량제봉투판매업09_30_13_P341000034100001420000043920000120<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700070대구광역시 중구 덕산동 38-1번지대구광역시 중구 종로 8 (덕산동)700070대원슈퍼20140108104757I2018-08-31 23:59:59.0<NA>343750.009259264106.706926지정대구광역시 중구 덕산동 38번지 1호<NA><NA>관급봉투
56쓰레기종량제봉투판매업09_30_13_P341000034100001420000002219950110<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700847대구광역시 중구 동인동4가 480-3번지대구광역시 중구 국채보상로150길 15-9 (동인동4가)700847본전상회20131231152239I2018-08-31 23:59:59.0<NA>345517.969288264255.844644지정대구광역시 중구 동인동4가 480번지 3호<NA><NA>관급봉투
67쓰레기종량제봉투판매업09_30_13_P341000034100001420000070719941201<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700832대구광역시 중구 남산동 698-22번지대구광역시 중구 명륜로 70 (남산동)700832의성지업사20140109101744I2018-08-31 23:59:59.0<NA>343722.34105263487.941195지정대구광역시 중구 남산동 698번지 22호<NA><NA>관급봉투
78쓰레기종량제봉투판매업09_30_13_P341000034100001420000071619941201<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700802대구광역시 중구 남산동 917-12번지대구광역시 중구 명륜로23길 55 (남산동)700802진주슈퍼20140109102900I2018-08-31 23:59:59.0<NA>344024.55675263644.237801지정대구광역시 중구 남산동 917번지 12호<NA><NA>관급봉투
89쓰레기종량제봉투판매업09_30_13_P341000034100001420000071819941201<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700826대구광역시 중구 남산동 2107-18번지대구광역시 중구 중앙대로58길 20 (남산동)700826롯데식품20140109103130I2018-08-31 23:59:59.0<NA>343756.939839263075.152801지정대구광역시 중구 남산동 2107번지 18호<NA><NA>관급봉투
910쓰레기종량제봉투판매업09_30_13_P341000034100001420000073120000519<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700832대구광역시 중구 남산동 698-50번지대구광역시 중구 명륜로 64-5 (남산동)700832대야할인마트20140109104542I2018-08-31 23:59:59.0<NA>343689.932973263524.329949지정대구광역시 중구 남산동 698번지 50호<NA><NA>관급봉투
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
70457046쓰레기종량제봉투판매업09_30_13_P348000034800001419952006219950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6164674<NA>711855대구광역시 달성군 논공읍 북리 803-13번지<NA><NA>LG스토아20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정논공읍 북리 803-13<NA>19950103관급봉투
70467047쓰레기종량제봉투판매업09_30_13_P348000034800001419952006319950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6166610<NA>711855대구광역시 달성군 논공읍 남리 571-8번지<NA><NA>장원할인마트20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정논공읍 남리 571-8<NA>19950103관급봉투
70477048쓰레기종량제봉투판매업09_30_13_P348000034800001419952006419950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6154698<NA>711855대구광역시 달성군 논공읍 북리 803-301번지<NA><NA>동일만물상사20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정북리803-301<NA>19950103관급봉투
70487049쓰레기종량제봉투판매업09_30_13_P348000034800001419952006519950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6155329<NA>711855대구광역시 달성군 논공읍 남리 224-44번지<NA><NA>공단수퍼20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정남리 224-44<NA>19950103관급봉투
70497050쓰레기종량제봉투판매업09_30_13_P348000034800001419952006619950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6152661<NA>711855대구광역시 달성군 논공읍 남리 224-50번지<NA><NA>정우수퍼20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정남리 224-50<NA>19950103관급봉투
70507051쓰레기종량제봉투판매업09_30_13_P348000034800001419956003419950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6161010<NA>711840대구광역시 달성군 옥포면 교항리 1519번지대구광역시 달성군 옥포면 교항제림길 10<NA>신우유통20070714114235I2018-08-31 23:59:59.0<NA>330336.119714255408.050838지정교항리 마을안<NA><NA>관급봉투
70517052쓰레기종량제봉투판매업09_30_13_P348000034800001419956003519950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6140169<NA>711840대구광역시 달성군 옥포면 교항리 1364번지대구광역시 달성군 옥포면 다리목중앙길 22<NA>신우유통(나양덕)20070714114235I2018-08-31 23:59:59.0<NA>330164.368497255600.239788지정교항리 마을안<NA><NA>관급봉투
70527053쓰레기종량제봉투판매업09_30_13_P348000034800001419956003619950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6145341<NA>711840대구광역시 달성군 옥포면 교항리 1397번지대구광역시 달성군 옥포면 다리목중앙길 12<NA>동제수퍼20070714114235I2018-08-31 23:59:59.0<NA>330079.481159255538.866125지정교항리 마을안<NA><NA>관급봉투
70537054쓰레기종량제봉투판매업09_30_13_P348000034800001419956003719950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6148746<NA>711840대구광역시 달성군 옥포면 교항리 1544-1 번지<NA><NA>영마트20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정중앙교회 옆<NA><NA>관급봉투
70547055쓰레기종량제봉투판매업09_30_13_P348000034800001419956003819950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6112508<NA>711840대구광역시 달성군 옥포면 강림리 565-2 번지<NA><NA>공단할인마트20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정논공경계<NA><NA>관급봉투