Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells107045
Missing cells (%)33.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 MiB
Average record size in memory284.0 B

Variable types

Numeric15
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_08_26_04_P_통신판매업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086704&dataSetDetailId=DDI_0000086734&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
상세영업상태명 is highly imbalanced (53.0%)Imbalance
판매방식명 is highly imbalanced (90.6%)Imbalance
인허가취소일자 has 9972 (99.7%) missing valuesMissing
폐업일자 has 7620 (76.2%) missing valuesMissing
휴업시작일자 has 9968 (99.7%) missing valuesMissing
휴업종료일자 has 9969 (99.7%) missing valuesMissing
재개업일자 has 9992 (99.9%) missing valuesMissing
소재지전화 has 5090 (50.9%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7492 (74.9%) missing valuesMissing
소재지전체주소 has 2471 (24.7%) missing valuesMissing
도로명전체주소 has 593 (5.9%) missing valuesMissing
도로명우편번호 has 2664 (26.6%) missing valuesMissing
좌표정보(X) has 607 (6.1%) missing valuesMissing
좌표정보(Y) has 607 (6.1%) missing valuesMissing
자산규모 has 10000 (100.0%) missing valuesMissing
부채총액 has 10000 (100.0%) missing valuesMissing
자본금 has 10000 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -46.45580433)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부채총액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:10:59.025871
Analysis finished2023-12-10 18:11:02.832707
Duration3.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25185.576
Minimum5
Maximum50876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:02.990517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile2415.95
Q112639.75
median25034.5
Q337794.5
95-th percentile48317.05
Maximum50876
Range50871
Interquartile range (IQR)25154.75

Descriptive statistics

Standard deviation14653.269
Coefficient of variation (CV)0.58181192
Kurtosis-1.1894462
Mean25185.576
Median Absolute Deviation (MAD)12563.5
Skewness0.028175891
Sum2.5185576 × 108
Variance2.1471828 × 108
MonotonicityNot monotonic
2023-12-11T03:11:03.277570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23827 1
 
< 0.1%
17271 1
 
< 0.1%
38471 1
 
< 0.1%
35187 1
 
< 0.1%
32818 1
 
< 0.1%
32520 1
 
< 0.1%
9757 1
 
< 0.1%
17166 1
 
< 0.1%
13025 1
 
< 0.1%
21066 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
11 1
< 0.1%
14 1
< 0.1%
18 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
25 1
< 0.1%
28 1
< 0.1%
32 1
< 0.1%
48 1
< 0.1%
ValueCountFrequency (%)
50876 1
< 0.1%
50874 1
< 0.1%
50864 1
< 0.1%
50863 1
< 0.1%
50859 1
< 0.1%
50857 1
< 0.1%
50853 1
< 0.1%
50851 1
< 0.1%
50845 1
< 0.1%
50844 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
통신판매업
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통신판매업 10000
100.0%

Length

2023-12-11T03:11:03.535013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:03.699399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통신판매업 10000
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
08_26_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_04_P
2nd row08_26_04_P
3rd row08_26_04_P
4th row08_26_04_P
5th row08_26_04_P

Common Values

ValueCountFrequency (%)
08_26_04_P 10000
100.0%

Length

2023-12-11T03:11:03.864422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:04.045455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446572
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:04.226207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21778.803
Coefficient of variation (CV)0.0063189751
Kurtosis-1.1484947
Mean3446572
Median Absolute Deviation (MAD)20000
Skewness-0.27715239
Sum3.446572 × 1010
Variance4.7431625 × 108
MonotonicityNot monotonic
2023-12-11T03:11:04.455339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1801
18.0%
3450000 1777
17.8%
3460000 1634
16.3%
3420000 1268
12.7%
3410000 1112
11.1%
3440000 869
8.7%
3430000 832
8.3%
3480000 707
 
7.1%
ValueCountFrequency (%)
3410000 1112
11.1%
3420000 1268
12.7%
3430000 832
8.3%
3440000 869
8.7%
3450000 1777
17.8%
3460000 1634
16.3%
3470000 1801
18.0%
3480000 707
 
7.1%
ValueCountFrequency (%)
3480000 707
 
7.1%
3470000 1801
18.0%
3460000 1634
16.3%
3450000 1777
17.8%
3440000 869
8.7%
3430000 832
8.3%
3420000 1268
12.7%
3410000 1112
11.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0147738 × 1018
Minimum1.996345 × 1018
Maximum2.109347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:04.808739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996345 × 1018
5-th percentile2.006343 × 1018
Q12.011343 × 1018
median2.016341 × 1018
Q32.019341 × 1018
95-th percentile2.020346 × 1018
Maximum2.109347 × 1018
Range1.1300201 × 1017
Interquartile range (IQR)7.9980084 × 1015

Descriptive statistics

Standard deviation4.8591368 × 1015
Coefficient of variation (CV)0.0024117531
Kurtosis13.682367
Mean2.0147738 × 1018
Median Absolute Deviation (MAD)3.0070245 × 1015
Skewness0.10920107
Sum3.8931805 × 1018
Variance2.361121 × 1031
MonotonicityNot monotonic
2023-12-11T03:11:05.108502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2013345009930200227 1
 
< 0.1%
2012344009230200187 1
 
< 0.1%
2008347011730200086 1
 
< 0.1%
2019346014030201148 1
 
< 0.1%
2017346014030200790 1
 
< 0.1%
2018346014030200031 1
 
< 0.1%
2020342015730200097 1
 
< 0.1%
2002344007330200071 1
 
< 0.1%
2018343009530200309 1
 
< 0.1%
2015345014230200172 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1996345009930200002 1
< 0.1%
1999345009930200002 1
< 0.1%
2000341007130200117 1
< 0.1%
2000341007130200138 1
< 0.1%
2000341007130200183 1
< 0.1%
2000341007130200225 1
< 0.1%
2000342009030200182 1
< 0.1%
2000344007330200144 1
< 0.1%
2000344007330200160 1
< 0.1%
2000344007330200243 1
< 0.1%
ValueCountFrequency (%)
2109347018130200001 1
< 0.1%
2020348036530201076 1
< 0.1%
2020348036530201069 1
< 0.1%
2020348036530201062 1
< 0.1%
2020348036530201059 1
< 0.1%
2020348036530201033 1
< 0.1%
2020348036530201022 1
< 0.1%
2020348036530201021 1
< 0.1%
2020348036530201020 1
< 0.1%
2020348036530201019 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3584
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20143015
Minimum19961128
Maximum21090916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:05.427444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19961128
5-th percentile20060310
Q120110105
median20150910
Q320181219
95-th percentile20200728
Maximum21090916
Range1129788
Interquartile range (IQR)71114

Descriptive statistics

Standard deviation48798.737
Coefficient of variation (CV)0.0024226133
Kurtosis13.483811
Mean20143015
Median Absolute Deviation (MAD)39704.5
Skewness0.16289008
Sum2.0143015 × 1011
Variance2.3813167 × 109
MonotonicityNot monotonic
2023-12-11T03:11:05.712487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200401 14
 
0.1%
20200422 14
 
0.1%
20200204 13
 
0.1%
20200615 13
 
0.1%
20201019 12
 
0.1%
20200525 12
 
0.1%
20200929 12
 
0.1%
20200330 12
 
0.1%
20200629 12
 
0.1%
20200626 12
 
0.1%
Other values (3574) 9874
98.7%
ValueCountFrequency (%)
19961128 1
< 0.1%
19990302 1
< 0.1%
20000216 1
< 0.1%
20000411 1
< 0.1%
20000427 1
< 0.1%
20000519 1
< 0.1%
20000602 1
< 0.1%
20000607 2
< 0.1%
20000810 1
< 0.1%
20000831 1
< 0.1%
ValueCountFrequency (%)
21090916 1
 
< 0.1%
20201130 7
0.1%
20201126 11
0.1%
20201125 2
 
< 0.1%
20201124 5
0.1%
20201123 8
0.1%
20201121 1
 
< 0.1%
20201120 5
0.1%
20201119 9
0.1%
20201118 7
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing9972
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20113850
Minimum20080619
Maximum20190624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:05.954933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080619
5-th percentile20080624
Q120080706
median20090820
Q320140714
95-th percentile20170609
Maximum20190624
Range110005
Interquartile range (IQR)60007.75

Descriptive statistics

Standard deviation35258.325
Coefficient of variation (CV)0.0017529376
Kurtosis-1.0688301
Mean20113850
Median Absolute Deviation (MAD)10199
Skewness0.56829693
Sum5.6318781 × 108
Variance1.2431495 × 109
MonotonicityNot monotonic
2023-12-11T03:11:06.192120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20080624 5
 
0.1%
20090227 2
 
< 0.1%
20080708 1
 
< 0.1%
20080930 1
 
< 0.1%
20120831 1
 
< 0.1%
20140729 1
 
< 0.1%
20170613 1
 
< 0.1%
20150305 1
 
< 0.1%
20090828 1
 
< 0.1%
20130605 1
 
< 0.1%
Other values (13) 13
 
0.1%
(Missing) 9972
99.7%
ValueCountFrequency (%)
20080619 1
 
< 0.1%
20080624 5
0.1%
20080701 1
 
< 0.1%
20080708 1
 
< 0.1%
20080827 1
 
< 0.1%
20080930 1
 
< 0.1%
20090227 2
 
< 0.1%
20090624 1
 
< 0.1%
20090813 1
 
< 0.1%
20090828 1
 
< 0.1%
ValueCountFrequency (%)
20190624 1
< 0.1%
20170613 1
< 0.1%
20170602 1
< 0.1%
20150714 1
< 0.1%
20150305 1
< 0.1%
20150304 1
< 0.1%
20140729 1
< 0.1%
20140709 1
< 0.1%
20140701 1
< 0.1%
20140626 1
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6407 
3
2380 
4
1191 
2
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 6407
64.1%
3 2380
 
23.8%
4 1191
 
11.9%
2 22
 
0.2%

Length

2023-12-11T03:11:06.689376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:06.937665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6407
64.1%
3 2380
 
23.8%
4 1191
 
11.9%
2 22
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
6407 
폐업
2380 
취소/말소/만료/정지/중지
1191 
휴업
 
22

Length

Max length14
Median length5
Mean length5.3513
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row폐업
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 6407
64.1%
폐업 2380
 
23.8%
취소/말소/만료/정지/중지 1191
 
11.9%
휴업 22
 
0.2%

Length

2023-12-11T03:11:07.495087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:07.685378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 6407
64.1%
폐업 2380
 
23.8%
취소/말소/만료/정지/중지 1191
 
11.9%
휴업 22
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1855
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:07.877195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9389857
Coefficient of variation (CV)0.88720464
Kurtosis1.5114137
Mean2.1855
Median Absolute Deviation (MAD)0
Skewness1.650862
Sum21855
Variance3.7596657
MonotonicityNot monotonic
2023-12-11T03:11:08.121161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 6401
64.0%
3 2380
 
23.8%
7 1156
 
11.6%
4 35
 
0.4%
2 22
 
0.2%
6 5
 
0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
1 6401
64.0%
2 22
 
0.2%
3 2380
 
23.8%
4 35
 
0.4%
6 5
 
0.1%
7 1156
 
11.6%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 1156
 
11.6%
6 5
 
0.1%
4 35
 
0.4%
3 2380
 
23.8%
2 22
 
0.2%
1 6401
64.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
6401 
폐업처리
2380 
직권말소
1156 
직권취소
 
35
휴업처리
 
22
Other values (2)
 
6

Length

Max length6
Median length4
Mean length4.001
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row정상영업
2nd row폐업처리
3rd row폐업처리
4th row정상영업
5th row직권말소

Common Values

ValueCountFrequency (%)
정상영업 6401
64.0%
폐업처리 2380
 
23.8%
직권말소 1156
 
11.6%
직권취소 35
 
0.4%
휴업처리 22
 
0.2%
타시군구전입 5
 
0.1%
영업재개 1
 
< 0.1%

Length

2023-12-11T03:11:08.424051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:08.653416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 6401
64.0%
폐업처리 2380
 
23.8%
직권말소 1156
 
11.6%
직권취소 35
 
0.4%
휴업처리 22
 
0.2%
타시군구전입 5
 
< 0.1%
영업재개 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1596
Distinct (%)67.1%
Missing7620
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean20145358
Minimum20061231
Maximum20201130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:08.906014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061231
5-th percentile20080897
Q120110504
median20141209
Q320181128
95-th percentile20200919
Maximum20201130
Range139899
Interquartile range (IQR)70624

Descriptive statistics

Standard deviation40461.754
Coefficient of variation (CV)0.0020084901
Kurtosis-1.3020037
Mean20145358
Median Absolute Deviation (MAD)39209.5
Skewness-0.1175201
Sum4.7945953 × 1010
Variance1.6371535 × 109
MonotonicityNot monotonic
2023-12-11T03:11:09.196918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200922 10
 
0.1%
20200923 10
 
0.1%
20200122 9
 
0.1%
20200818 9
 
0.1%
20200121 8
 
0.1%
20200928 8
 
0.1%
20200116 8
 
0.1%
20121231 7
 
0.1%
20200925 7
 
0.1%
20190603 6
 
0.1%
Other values (1586) 2298
 
23.0%
(Missing) 7620
76.2%
ValueCountFrequency (%)
20061231 1
< 0.1%
20070101 1
< 0.1%
20070501 1
< 0.1%
20070504 1
< 0.1%
20070523 2
< 0.1%
20070525 1
< 0.1%
20070607 1
< 0.1%
20070618 1
< 0.1%
20070719 1
< 0.1%
20070720 1
< 0.1%
ValueCountFrequency (%)
20201130 1
 
< 0.1%
20201127 1
 
< 0.1%
20201126 2
< 0.1%
20201125 3
< 0.1%
20201123 4
< 0.1%
20201120 1
 
< 0.1%
20201119 2
< 0.1%
20201118 2
< 0.1%
20201117 1
 
< 0.1%
20201116 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)100.0%
Missing9968
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20144156
Minimum20061221
Maximum20201201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:09.544288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061221
5-th percentile20076209
Q120098156
median20140772
Q320200190
95-th percentile20201007
Maximum20201201
Range139980
Interquartile range (IQR)102034

Descriptive statistics

Standard deviation48849.062
Coefficient of variation (CV)0.0024249744
Kurtosis-1.5767302
Mean20144156
Median Absolute Deviation (MAD)50069.5
Skewness-0.1267308
Sum6.44613 × 108
Variance2.3862309 × 109
MonotonicityNot monotonic
2023-12-11T03:11:09.876665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20090804 1
 
< 0.1%
20100501 1
 
< 0.1%
20200921 1
 
< 0.1%
20090602 1
 
< 0.1%
20081127 1
 
< 0.1%
20090123 1
 
< 0.1%
20181022 1
 
< 0.1%
20111013 1
 
< 0.1%
20140502 1
 
< 0.1%
20200915 1
 
< 0.1%
Other values (22) 22
 
0.2%
(Missing) 9968
99.7%
ValueCountFrequency (%)
20061221 1
< 0.1%
20070810 1
< 0.1%
20080627 1
< 0.1%
20081127 1
< 0.1%
20090123 1
< 0.1%
20090602 1
< 0.1%
20090804 1
< 0.1%
20091119 1
< 0.1%
20100501 1
< 0.1%
20110209 1
< 0.1%
ValueCountFrequency (%)
20201201 1
< 0.1%
20201008 1
< 0.1%
20201007 1
< 0.1%
20200921 1
< 0.1%
20200915 1
< 0.1%
20200620 1
< 0.1%
20200424 1
< 0.1%
20200401 1
< 0.1%
20200119 1
< 0.1%
20191220 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing9969
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20188918
Minimum20080210
Maximum21000101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:10.177280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080210
5-th percentile20085980
Q120105981
median20161231
Q320210866
95-th percentile20301216
Maximum21000101
Range919891
Interquartile range (IQR)104885.5

Descriptive statistics

Standard deviation162321.12
Coefficient of variation (CV)0.0080401099
Kurtosis22.141047
Mean20188918
Median Absolute Deviation (MAD)49987
Skewness4.396067
Sum6.2585647 × 108
Variance2.6348147 × 1010
MonotonicityNot monotonic
2023-12-11T03:11:10.404194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20091231 2
 
< 0.1%
20170727 1
 
< 0.1%
20101030 1
 
< 0.1%
20210920 1
 
< 0.1%
20101231 1
 
< 0.1%
20101127 1
 
< 0.1%
20201011 1
 
< 0.1%
20120212 1
 
< 0.1%
20210913 1
 
< 0.1%
20080210 1
 
< 0.1%
Other values (20) 20
 
0.2%
(Missing) 9969
99.7%
ValueCountFrequency (%)
20080210 1
< 0.1%
20080728 1
< 0.1%
20091231 2
< 0.1%
20100501 1
< 0.1%
20101030 1
< 0.1%
20101127 1
< 0.1%
20101231 1
< 0.1%
20110731 1
< 0.1%
20111030 1
< 0.1%
20120212 1
< 0.1%
ValueCountFrequency (%)
21000101 1
< 0.1%
20301231 1
< 0.1%
20301201 1
< 0.1%
20220430 1
< 0.1%
20211219 1
< 0.1%
20211218 1
< 0.1%
20210920 1
< 0.1%
20210913 1
< 0.1%
20210820 1
< 0.1%
20210630 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing9992
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20118134
Minimum20080115
Maximum20201030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:10.615335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080115
5-th percentile20080225
Q120080795
median20110412
Q320135800
95-th percentile20183529
Maximum20201030
Range120915
Interquartile range (IQR)55004.5

Descriptive statistics

Standard deviation42546.901
Coefficient of variation (CV)0.0021148533
Kurtosis0.80615421
Mean20118134
Median Absolute Deviation (MAD)29739
Skewness1.0927579
Sum1.6094507 × 108
Variance1.8102388 × 109
MonotonicityNot monotonic
2023-12-11T03:11:10.848938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20151027 1
 
< 0.1%
20100715 1
 
< 0.1%
20130724 1
 
< 0.1%
20080430 1
 
< 0.1%
20201030 1
 
< 0.1%
20120110 1
 
< 0.1%
20080115 1
 
< 0.1%
20080917 1
 
< 0.1%
(Missing) 9992
99.9%
ValueCountFrequency (%)
20080115 1
< 0.1%
20080430 1
< 0.1%
20080917 1
< 0.1%
20100715 1
< 0.1%
20120110 1
< 0.1%
20130724 1
< 0.1%
20151027 1
< 0.1%
20201030 1
< 0.1%
ValueCountFrequency (%)
20201030 1
< 0.1%
20151027 1
< 0.1%
20130724 1
< 0.1%
20120110 1
< 0.1%
20100715 1
< 0.1%
20080917 1
< 0.1%
20080430 1
< 0.1%
20080115 1
< 0.1%

소재지전화
Text

MISSING 

Distinct4555
Distinct (%)92.8%
Missing5090
Missing (%)50.9%
Memory size156.2 KiB
2023-12-11T03:11:11.353248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.119348
Min length1

Characters and Unicode

Total characters54596
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4495 ?
Unique (%)91.5%

Sample

1st row053-423-3040
2nd row053-633-5253
3rd row053939-9022
4th row358-8582
5th row053 427 2215
ValueCountFrequency (%)
053 945
 
14.1%
168
 
2.5%
070 52
 
0.8%
255 31
 
0.5%
252 27
 
0.4%
604 23
 
0.3%
425 23
 
0.3%
424 20
 
0.3%
256 18
 
0.3%
257 17
 
0.3%
Other values (4747) 5373
80.2%
2023-12-11T03:11:12.153110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7957
14.6%
5 7887
14.4%
3 6634
12.2%
- 6592
12.1%
2 4169
7.6%
7 3940
7.2%
6 3492
6.4%
4 3253
6.0%
1 3191
5.8%
8 2998
 
5.5%
Other values (7) 4483
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46018
84.3%
Dash Punctuation 6592
 
12.1%
Space Separator 1802
 
3.3%
Other Punctuation 164
 
0.3%
Close Punctuation 14
 
< 0.1%
Math Symbol 5
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7957
17.3%
5 7887
17.1%
3 6634
14.4%
2 4169
9.1%
7 3940
8.6%
6 3492
7.6%
4 3253
7.1%
1 3191
6.9%
8 2998
 
6.5%
9 2497
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 163
99.4%
, 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 6592
100.0%
Space Separator
ValueCountFrequency (%)
1802
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54596
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7957
14.6%
5 7887
14.4%
3 6634
12.2%
- 6592
12.1%
2 4169
7.6%
7 3940
7.2%
6 3492
6.4%
4 3253
6.0%
1 3191
5.8%
8 2998
 
5.5%
Other values (7) 4483
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7957
14.6%
5 7887
14.4%
3 6634
12.2%
- 6592
12.1%
2 4169
7.6%
7 3940
7.2%
6 3492
6.4%
4 3253
6.0%
1 3191
5.8%
8 2998
 
5.5%
Other values (7) 4483
8.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct708
Distinct (%)28.2%
Missing7492
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean703685.44
Minimum130070
Maximum730020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:12.407404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130070
5-th percentile700421
Q1702020
median703843
Q3705035
95-th percentile706852
Maximum730020
Range599950
Interquartile range (IQR)3015

Descriptive statistics

Standard deviation11747.638
Coefficient of variation (CV)0.016694445
Kurtosis2269.8435
Mean703685.44
Median Absolute Deviation (MAD)1813
Skewness-46.455804
Sum1.7648431 × 109
Variance1.38007 × 108
MonotonicityNot monotonic
2023-12-11T03:11:12.655172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705030 150
 
1.5%
702010 69
 
0.7%
705020 49
 
0.5%
703010 34
 
0.3%
706010 32
 
0.3%
700440 31
 
0.3%
702260 30
 
0.3%
704340 29
 
0.3%
701020 28
 
0.3%
703040 25
 
0.2%
Other values (698) 2031
 
20.3%
(Missing) 7492
74.9%
ValueCountFrequency (%)
130070 1
 
< 0.1%
700010 2
 
< 0.1%
700060 2
 
< 0.1%
700070 1
 
< 0.1%
700081 1
 
< 0.1%
700091 2
 
< 0.1%
700092 1
 
< 0.1%
700093 1
 
< 0.1%
700111 6
0.1%
700112 2
 
< 0.1%
ValueCountFrequency (%)
730020 1
 
< 0.1%
711892 1
 
< 0.1%
711891 1
 
< 0.1%
711882 2
< 0.1%
711881 1
 
< 0.1%
711874 4
< 0.1%
711872 1
 
< 0.1%
711871 1
 
< 0.1%
711865 1
 
< 0.1%
711862 3
< 0.1%

소재지전체주소
Text

MISSING 

Distinct6999
Distinct (%)93.0%
Missing2471
Missing (%)24.7%
Memory size156.2 KiB
2023-12-11T03:11:13.329395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length26.8879
Min length6

Characters and Unicode

Total characters202439
Distinct characters497
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6665 ?
Unique (%)88.5%

Sample

1st row대구광역시 달서구 진천동 239번지 23호
2nd row대구광역시 동구 효목동 82번지 28호 1층 상가
3rd row대구광역시 수성구 만촌동 816번지 만촌1차우방타운
4th row대구광역시 달서구 송현동 1992번지 18호
5th row대구광역시 북구 노원동3가 1001번지 3호 1층
ValueCountFrequency (%)
대구광역시 7495
 
17.4%
북구 1301
 
3.0%
달서구 1246
 
2.9%
수성구 1168
 
2.7%
동구 981
 
2.3%
중구 841
 
2.0%
1호 838
 
1.9%
남구 733
 
1.7%
서구 646
 
1.5%
달성군 580
 
1.3%
Other values (5930) 27181
63.2%
2023-12-11T03:11:14.453455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35610
17.6%
구 14832
 
7.3%
1 10544
 
5.2%
동 9335
 
4.6%
대 8814
 
4.4%
시 7783
 
3.8%
역 7592
 
3.8%
광 7538
 
3.7%
지 7060
 
3.5%
호 6484
 
3.2%
Other values (487) 86847
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121582
60.1%
Decimal Number 43750
 
21.6%
Space Separator 35610
 
17.6%
Dash Punctuation 954
 
0.5%
Uppercase Letter 256
 
0.1%
Other Punctuation 168
 
0.1%
Lowercase Letter 51
 
< 0.1%
Close Punctuation 32
 
< 0.1%
Open Punctuation 32
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 14832
 
12.2%
동 9335
 
7.7%
대 8814
 
7.2%
시 7783
 
6.4%
역 7592
 
6.2%
광 7538
 
6.2%
지 7060
 
5.8%
호 6484
 
5.3%
번 6353
 
5.2%
성 2808
 
2.3%
Other values (441) 42983
35.4%
Uppercase Letter
ValueCountFrequency (%)
A 59
23.0%
B 30
11.7%
S 26
10.2%
H 19
 
7.4%
T 18
 
7.0%
L 18
 
7.0%
C 16
 
6.2%
K 14
 
5.5%
P 14
 
5.5%
M 8
 
3.1%
Other values (10) 34
13.3%
Decimal Number
ValueCountFrequency (%)
1 10544
24.1%
2 5976
13.7%
0 5151
11.8%
3 4530
10.4%
5 3558
 
8.1%
4 3270
 
7.5%
6 3106
 
7.1%
7 2767
 
6.3%
8 2484
 
5.7%
9 2364
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 76
45.2%
, 62
36.9%
. 18
 
10.7%
· 6
 
3.6%
@ 5
 
3.0%
# 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 49
96.1%
d 1
 
2.0%
s 1
 
2.0%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
35610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121582
60.1%
Common 80549
39.8%
Latin 307
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 14832
 
12.2%
동 9335
 
7.7%
대 8814
 
7.2%
시 7783
 
6.4%
역 7592
 
6.2%
광 7538
 
6.2%
지 7060
 
5.8%
호 6484
 
5.3%
번 6353
 
5.2%
성 2808
 
2.3%
Other values (441) 42983
35.4%
Latin
ValueCountFrequency (%)
A 59
19.2%
e 49
16.0%
B 30
9.8%
S 26
8.5%
H 19
 
6.2%
T 18
 
5.9%
L 18
 
5.9%
C 16
 
5.2%
K 14
 
4.6%
P 14
 
4.6%
Other values (13) 44
14.3%
Common
ValueCountFrequency (%)
35610
44.2%
1 10544
 
13.1%
2 5976
 
7.4%
0 5151
 
6.4%
3 4530
 
5.6%
5 3558
 
4.4%
4 3270
 
4.1%
6 3106
 
3.9%
7 2767
 
3.4%
8 2484
 
3.1%
Other values (12) 3553
 
4.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121581
60.1%
ASCII 80850
39.9%
None 7
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35610
44.0%
1 10544
 
13.0%
2 5976
 
7.4%
0 5151
 
6.4%
3 4530
 
5.6%
5 3558
 
4.4%
4 3270
 
4.0%
6 3106
 
3.8%
7 2767
 
3.4%
8 2484
 
3.1%
Other values (34) 3854
 
4.8%
Hangul
ValueCountFrequency (%)
구 14832
 
12.2%
동 9335
 
7.7%
대 8814
 
7.2%
시 7783
 
6.4%
역 7592
 
6.2%
광 7538
 
6.2%
지 7060
 
5.8%
호 6484
 
5.3%
번 6353
 
5.2%
성 2808
 
2.3%
Other values (440) 42982
35.4%
None
ValueCountFrequency (%)
· 6
85.7%
㈜ 1
 
14.3%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct9252
Distinct (%)98.4%
Missing593
Missing (%)5.9%
Memory size156.2 KiB
2023-12-11T03:11:15.223648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length33.395557
Min length15

Characters and Unicode

Total characters314152
Distinct characters547
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9106 ?
Unique (%)96.8%

Sample

1st row대구광역시 북구 연암로4길 51 (산격동)
2nd row대구광역시 중구 동성로2길 24, 1층 (삼덕동1가)
3rd row대구광역시 달서구 월배로28안길 54 (진천동)
4th row대구광역시 북구 구암로 12, 3동 801호 (태전동, 롯데아파트)
5th row대구광역시 달서구 상화로 371 (상인동, 상인비둘기1단지아파트)
ValueCountFrequency (%)
대구광역시 9407
 
15.6%
달서구 1771
 
2.9%
북구 1655
 
2.7%
수성구 1459
 
2.4%
동구 1210
 
2.0%
중구 933
 
1.5%
남구 851
 
1.4%
1층 838
 
1.4%
서구 825
 
1.4%
달성군 678
 
1.1%
Other values (8338) 40714
67.5%
2023-12-11T03:11:16.268562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50965
 
16.2%
구 19536
 
6.2%
동 14440
 
4.6%
1 13953
 
4.4%
대 12588
 
4.0%
시 9871
 
3.1%
역 9593
 
3.1%
광 9476
 
3.0%
, 9308
 
3.0%
로 9143
 
2.9%
Other values (537) 155279
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174299
55.5%
Decimal Number 58649
 
18.7%
Space Separator 50965
 
16.2%
Other Punctuation 9343
 
3.0%
Close Punctuation 9082
 
2.9%
Open Punctuation 9081
 
2.9%
Dash Punctuation 2206
 
0.7%
Uppercase Letter 449
 
0.1%
Lowercase Letter 71
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19536
 
11.2%
동 14440
 
8.3%
대 12588
 
7.2%
시 9871
 
5.7%
역 9593
 
5.5%
광 9476
 
5.4%
로 9143
 
5.2%
길 5178
 
3.0%
호 4997
 
2.9%
성 4246
 
2.4%
Other values (486) 75231
43.2%
Uppercase Letter
ValueCountFrequency (%)
A 104
23.2%
B 72
16.0%
C 40
 
8.9%
S 33
 
7.3%
H 27
 
6.0%
L 27
 
6.0%
K 24
 
5.3%
D 22
 
4.9%
M 22
 
4.9%
T 18
 
4.0%
Other values (11) 60
13.4%
Decimal Number
ValueCountFrequency (%)
1 13953
23.8%
2 9012
15.4%
0 8700
14.8%
3 6424
11.0%
5 4593
 
7.8%
4 4270
 
7.3%
6 3639
 
6.2%
7 3109
 
5.3%
8 2533
 
4.3%
9 2416
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 9308
99.6%
/ 15
 
0.2%
. 9
 
0.1%
· 8
 
0.1%
# 1
 
< 0.1%
& 1
 
< 0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 62
87.3%
c 2
 
2.8%
d 2
 
2.8%
b 2
 
2.8%
w 1
 
1.4%
s 1
 
1.4%
t 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
+ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
50965
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9082
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9081
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174298
55.5%
Common 139333
44.4%
Latin 520
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19536
 
11.2%
동 14440
 
8.3%
대 12588
 
7.2%
시 9871
 
5.7%
역 9593
 
5.5%
광 9476
 
5.4%
로 9143
 
5.2%
길 5178
 
3.0%
호 4997
 
2.9%
성 4246
 
2.4%
Other values (485) 75230
43.2%
Latin
ValueCountFrequency (%)
A 104
20.0%
B 72
13.8%
e 62
11.9%
C 40
 
7.7%
S 33
 
6.3%
H 27
 
5.2%
L 27
 
5.2%
K 24
 
4.6%
D 22
 
4.2%
M 22
 
4.2%
Other values (18) 87
16.7%
Common
ValueCountFrequency (%)
50965
36.6%
1 13953
 
10.0%
, 9308
 
6.7%
) 9082
 
6.5%
( 9081
 
6.5%
2 9012
 
6.5%
0 8700
 
6.2%
3 6424
 
4.6%
5 4593
 
3.3%
4 4270
 
3.1%
Other values (13) 13945
 
10.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174298
55.5%
ASCII 139845
44.5%
None 8
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50965
36.4%
1 13953
 
10.0%
, 9308
 
6.7%
) 9082
 
6.5%
( 9081
 
6.5%
2 9012
 
6.4%
0 8700
 
6.2%
3 6424
 
4.6%
5 4593
 
3.3%
4 4270
 
3.1%
Other values (40) 14457
 
10.3%
Hangul
ValueCountFrequency (%)
구 19536
 
11.2%
동 14440
 
8.3%
대 12588
 
7.2%
시 9871
 
5.7%
역 9593
 
5.5%
광 9476
 
5.4%
로 9143
 
5.2%
길 5178
 
3.0%
호 4997
 
2.9%
성 4246
 
2.4%
Other values (485) 75230
43.2%
None
ValueCountFrequency (%)
· 8
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct2065
Distinct (%)28.1%
Missing2664
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean217592.89
Minimum41000
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:16.566667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41124
Q141815
median42462
Q3700800.5
95-th percentile706050
Maximum711892
Range670892
Interquartile range (IQR)658985.5

Descriptive statistics

Standard deviation292247.54
Coefficient of variation (CV)1.3430932
Kurtosis-0.86702107
Mean217592.89
Median Absolute Deviation (MAD)702
Skewness1.0644699
Sum1.5962614 × 109
Variance8.5408622 × 1010
MonotonicityNot monotonic
2023-12-11T03:11:16.884022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41926 44
 
0.4%
41942 44
 
0.4%
42930 27
 
0.3%
42922 24
 
0.2%
42761 24
 
0.2%
42974 23
 
0.2%
41518 23
 
0.2%
702010 22
 
0.2%
41959 21
 
0.2%
41477 20
 
0.2%
Other values (2055) 7064
70.6%
(Missing) 2664
 
26.6%
ValueCountFrequency (%)
41000 2
 
< 0.1%
41001 3
 
< 0.1%
41002 6
0.1%
41005 9
0.1%
41006 1
 
< 0.1%
41007 1
 
< 0.1%
41008 2
 
< 0.1%
41010 2
 
< 0.1%
41011 1
 
< 0.1%
41013 1
 
< 0.1%
ValueCountFrequency (%)
711892 1
 
< 0.1%
711891 2
< 0.1%
711890 3
< 0.1%
711883 1
 
< 0.1%
711874 1
 
< 0.1%
711872 1
 
< 0.1%
711863 2
< 0.1%
711858 1
 
< 0.1%
711856 3
< 0.1%
711853 1
 
< 0.1%

사업장명
Text

Distinct9784
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T03:11:17.583096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length6.3871
Min length1

Characters and Unicode

Total characters63871
Distinct characters1107
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9591 ?
Unique (%)95.9%

Sample

1st row토이엔젤
2nd row리안헤어
3rd row녹지원
4th row통영물산
5th row제이에스 코스메틱
ValueCountFrequency (%)
주식회사 370
 
3.0%
주 74
 
0.6%
컴퍼니 23
 
0.2%
더 20
 
0.2%
company 20
 
0.2%
농업회사법인 13
 
0.1%
the 13
 
0.1%
디자인 11
 
0.1%
몰 11
 
0.1%
제이 11
 
0.1%
Other values (10810) 11680
95.4%
2023-12-11T03:11:19.448789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2246
 
3.5%
이 2051
 
3.2%
) 1752
 
2.7%
( 1751
 
2.7%
스 1692
 
2.6%
리 1035
 
1.6%
사 887
 
1.4%
주 872
 
1.4%
아 829
 
1.3%
e 715
 
1.1%
Other values (1097) 50041
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46495
72.8%
Lowercase Letter 6056
 
9.5%
Uppercase Letter 4472
 
7.0%
Space Separator 2246
 
3.5%
Close Punctuation 1755
 
2.7%
Open Punctuation 1754
 
2.7%
Decimal Number 599
 
0.9%
Other Punctuation 341
 
0.5%
Dash Punctuation 79
 
0.1%
Other Symbol 62
 
0.1%
Other values (3) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2051
 
4.4%
스 1692
 
3.6%
리 1035
 
2.2%
사 887
 
1.9%
주 872
 
1.9%
아 829
 
1.8%
라 626
 
1.3%
트 600
 
1.3%
드 549
 
1.2%
에 537
 
1.2%
Other values (1010) 36817
79.2%
Lowercase Letter
ValueCountFrequency (%)
e 715
11.8%
o 641
 
10.6%
a 546
 
9.0%
n 471
 
7.8%
i 436
 
7.2%
l 382
 
6.3%
r 354
 
5.8%
t 342
 
5.6%
m 284
 
4.7%
s 280
 
4.6%
Other values (16) 1605
26.5%
Uppercase Letter
ValueCountFrequency (%)
O 352
 
7.9%
A 313
 
7.0%
E 293
 
6.6%
S 289
 
6.5%
T 242
 
5.4%
L 239
 
5.3%
M 235
 
5.3%
N 231
 
5.2%
C 227
 
5.1%
D 215
 
4.8%
Other values (16) 1836
41.1%
Other Punctuation
ValueCountFrequency (%)
. 166
48.7%
& 63
 
18.5%
, 53
 
15.5%
' 26
 
7.6%
: 8
 
2.3%
/ 8
 
2.3%
# 6
 
1.8%
; 4
 
1.2%
＆ 3
 
0.9%
" 2
 
0.6%
Other values (2) 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
4 159
26.5%
1 105
17.5%
2 78
13.0%
0 62
 
10.4%
3 55
 
9.2%
5 43
 
7.2%
9 40
 
6.7%
7 24
 
4.0%
6 17
 
2.8%
8 16
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 1752
99.8%
] 2
 
0.1%
］ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1751
99.8%
[ 2
 
0.1%
［ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
= 1
33.3%
Space Separator
ValueCountFrequency (%)
2246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 62
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46537
72.9%
Latin 10528
 
16.5%
Common 6786
 
10.6%
Han 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2051
 
4.4%
스 1692
 
3.6%
리 1035
 
2.2%
사 887
 
1.9%
주 872
 
1.9%
아 829
 
1.8%
라 626
 
1.3%
트 600
 
1.3%
드 549
 
1.2%
에 537
 
1.2%
Other values (992) 36859
79.2%
Latin
ValueCountFrequency (%)
e 715
 
6.8%
o 641
 
6.1%
a 546
 
5.2%
n 471
 
4.5%
i 436
 
4.1%
l 382
 
3.6%
r 354
 
3.4%
O 352
 
3.3%
t 342
 
3.2%
A 313
 
3.0%
Other values (42) 5976
56.8%
Common
ValueCountFrequency (%)
2246
33.1%
) 1752
25.8%
( 1751
25.8%
. 166
 
2.4%
4 159
 
2.3%
1 105
 
1.5%
- 79
 
1.2%
2 78
 
1.1%
& 63
 
0.9%
0 62
 
0.9%
Other values (24) 325
 
4.8%
Han
ValueCountFrequency (%)
所 2
 
10.0%
林 1
 
5.0%
堂 1
 
5.0%
香 1
 
5.0%
願 1
 
5.0%
世 1
 
5.0%
路 1
 
5.0%
安 1
 
5.0%
停 1
 
5.0%
月 1
 
5.0%
Other values (9) 9
45.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46475
72.8%
ASCII 17309
 
27.1%
None 67
 
0.1%
CJK 18
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2246
 
13.0%
) 1752
 
10.1%
( 1751
 
10.1%
e 715
 
4.1%
o 641
 
3.7%
a 546
 
3.2%
n 471
 
2.7%
i 436
 
2.5%
l 382
 
2.2%
r 354
 
2.0%
Other values (73) 8015
46.3%
Hangul
ValueCountFrequency (%)
이 2051
 
4.4%
스 1692
 
3.6%
리 1035
 
2.2%
사 887
 
1.9%
주 872
 
1.9%
아 829
 
1.8%
라 626
 
1.3%
트 600
 
1.3%
드 549
 
1.2%
에 537
 
1.2%
Other values (991) 36797
79.2%
None
ValueCountFrequency (%)
㈜ 62
92.5%
＆ 3
 
4.5%
］ 1
 
1.5%
［ 1
 
1.5%
CJK
ValueCountFrequency (%)
所 2
 
11.1%
堂 1
 
5.6%
香 1
 
5.6%
願 1
 
5.6%
世 1
 
5.6%
路 1
 
5.6%
安 1
 
5.6%
停 1
 
5.6%
月 1
 
5.6%
愛 1
 
5.6%
Other values (7) 7
38.9%
CJK Compat Ideographs
ValueCountFrequency (%)
林 1
50.0%
女 1
50.0%

최종수정시점
Real number (ℝ)

Distinct9990
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162395 × 1013
Minimum2.0070703 × 1013
Maximum2.020113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:19.775261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070703 × 1013
5-th percentile2.0090701 × 1013
Q12.0131129 × 1013
median2.0171102 × 1013
Q32.0191204 × 1013
95-th percentile2.0201014 × 1013
Maximum2.020113 × 1013
Range1.3042697 × 1011
Interquartile range (IQR)6.0075248 × 1010

Descriptive statistics

Standard deviation3.6905955 × 1010
Coefficient of variation (CV)0.0018304351
Kurtosis-0.72558873
Mean2.0162395 × 1013
Median Absolute Deviation (MAD)2.9210435 × 1010
Skewness-0.72339853
Sum2.0162395 × 1017
Variance1.3620495 × 1021
MonotonicityNot monotonic
2023-12-11T03:11:20.070204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080223000000 11
 
0.1%
20130514111041 1
 
< 0.1%
20180208094932 1
 
< 0.1%
20171221162844 1
 
< 0.1%
20180116081911 1
 
< 0.1%
20200218170018 1
 
< 0.1%
20120725115912 1
 
< 0.1%
20181002173838 1
 
< 0.1%
20131129170923 1
 
< 0.1%
20150407095230 1
 
< 0.1%
Other values (9980) 9980
99.8%
ValueCountFrequency (%)
20070703205855 1
< 0.1%
20070719091537 1
< 0.1%
20070720173048 1
< 0.1%
20070723180101 1
< 0.1%
20070802163717 1
< 0.1%
20070806152837 1
< 0.1%
20070810174714 1
< 0.1%
20070816133513 1
< 0.1%
20070820083741 1
< 0.1%
20070903090836 1
< 0.1%
ValueCountFrequency (%)
20201130174305 1
< 0.1%
20201130170844 1
< 0.1%
20201130155535 1
< 0.1%
20201130142851 1
< 0.1%
20201130135632 1
< 0.1%
20201130133409 1
< 0.1%
20201130133139 1
< 0.1%
20201130130450 1
< 0.1%
20201130104735 1
< 0.1%
20201130104421 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8308 
U
1692 

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 8308
83.1%
U 1692
 
16.9%

Length

2023-12-11T03:11:20.340112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:20.526443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8308
83.1%
u 1692
 
16.9%

데이터갱신일자
Date

Distinct1022
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-02 02:40:00
2023-12-11T03:11:20.787214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:11:21.479277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의류/패션/잡화/뷰티
3768 
기타
2477 
종합몰
1540 
건강/식품
1120 
교육/도서/완구/오락
 
272
Other values (7)
823 

Length

Max length11
Median length9
Mean length6.5325
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육/도서/완구/오락
2nd row의류/패션/잡화/뷰티
3rd row건강/식품
4th row건강/식품
5th row의류/패션/잡화/뷰티

Common Values

ValueCountFrequency (%)
의류/패션/잡화/뷰티 3768
37.7%
기타 2477
24.8%
종합몰 1540
15.4%
건강/식품 1120
 
11.2%
교육/도서/완구/오락 272
 
2.7%
컴퓨터/사무용품 180
 
1.8%
레져/여행/공연 173
 
1.7%
자동차/자동차용품 166
 
1.7%
가구/수납용품 136
 
1.4%
가전 135
 
1.4%
Other values (2) 33
 
0.3%

Length

2023-12-11T03:11:21.727402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의류/패션/잡화/뷰티 3768
37.7%
기타 2477
24.8%
종합몰 1540
15.4%
건강/식품 1120
 
11.2%
교육/도서/완구/오락 272
 
2.7%
컴퓨터/사무용품 180
 
1.8%
레져/여행/공연 173
 
1.7%
자동차/자동차용품 166
 
1.7%
가구/수납용품 136
 
1.4%
가전 135
 
1.4%
Other values (2) 33
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6975
Distinct (%)74.3%
Missing607
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean342896.12
Minimum190050.9
Maximum358546.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:21.958602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190050.9
5-th percentile333654.13
Q1339591.36
median343122.37
Q3346071.58
95-th percentile353567.61
Maximum358546.85
Range168495.95
Interquartile range (IQR)6480.22

Descriptive statistics

Standard deviation5758.3371
Coefficient of variation (CV)0.01679324
Kurtosis89.271523
Mean342896.12
Median Absolute Deviation (MAD)3291.5884
Skewness-3.4673631
Sum3.2208233 × 109
Variance33158446
MonotonicityNot monotonic
2023-12-11T03:11:22.214595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344997.585301 35
 
0.4%
344912.358902 29
 
0.3%
342582.197988 23
 
0.2%
340868.858239 22
 
0.2%
344686.259338 17
 
0.2%
344879.421494 17
 
0.2%
343610.066289 13
 
0.1%
344997.256165 12
 
0.1%
344083.488663 12
 
0.1%
342657.608723 12
 
0.1%
Other values (6965) 9201
92.0%
(Missing) 607
 
6.1%
ValueCountFrequency (%)
190050.903572929 1
< 0.1%
203258.377206168 1
< 0.1%
318856.323271353 1
< 0.1%
324714.504484 1
< 0.1%
325346.864395 1
< 0.1%
325788.371264 1
< 0.1%
326155.416756 1
< 0.1%
326161.514933 1
< 0.1%
326213.353192 1
< 0.1%
326288.292353 1
< 0.1%
ValueCountFrequency (%)
358546.852598 1
 
< 0.1%
358331.962448 1
 
< 0.1%
358213.056494 1
 
< 0.1%
358060.647419 4
< 0.1%
357963.405909 1
 
< 0.1%
357918.706351 1
 
< 0.1%
357835.663303 2
< 0.1%
357646.727978 2
< 0.1%
357559.0 1
 
< 0.1%
357073.974572 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6973
Distinct (%)74.2%
Missing607
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean263393.5
Minimum238027.79
Maximum452834.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T03:11:22.485750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238027.79
5-th percentile257395.84
Q1261318.7
median263582.56
Q3265443.97
95-th percentile270807.68
Maximum452834.06
Range214806.27
Interquartile range (IQR)4125.2699

Descriptive statistics

Standard deviation5263.7012
Coefficient of variation (CV)0.019984173
Kurtosis317.12065
Mean263393.5
Median Absolute Deviation (MAD)2091.9948
Skewness8.2491071
Sum2.4740551 × 109
Variance27706550
MonotonicityNot monotonic
2023-12-11T03:11:22.756950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268604.350566 35
 
0.4%
268253.830253 29
 
0.3%
264326.558135 23
 
0.2%
263229.029533 22
 
0.2%
268476.874903 17
 
0.2%
263958.880864 17
 
0.2%
266901.324106 13
 
0.1%
271678.347299 12
 
0.1%
263931.205868 12
 
0.1%
264640.954913 12
 
0.1%
Other values (6963) 9201
92.0%
(Missing) 607
 
6.1%
ValueCountFrequency (%)
238027.789908 1
< 0.1%
238959.976996 1
< 0.1%
238972.907159 2
< 0.1%
239004.505882 1
< 0.1%
239181.99672 1
< 0.1%
239224.138323 1
< 0.1%
239327.14724 1
< 0.1%
239358.0 2
< 0.1%
239419.0 1
< 0.1%
239800.686109 1
< 0.1%
ValueCountFrequency (%)
452834.064124525 1
< 0.1%
440523.497478209 1
< 0.1%
294253.280120914 1
< 0.1%
278618.641544 1
< 0.1%
278226.867388 1
< 0.1%
278042.64925 1
< 0.1%
277930.121883 1
< 0.1%
277799.708684 1
< 0.1%
277749.024029 1
< 0.1%
277716.438673 1
< 0.1%

자산규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

부채총액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

판매방식명
Categorical

IMBALANCE 

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9473 
기타, 인터넷
 
124
인터넷, 기타
 
73
기타
 
55
<NA>
 
41
Other values (38)
 
234

Length

Max length26
Median length3
Mean length3.3087
Min length2

Unique

Unique14 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 9473
94.7%
기타, 인터넷 124
 
1.2%
인터넷, 기타 73
 
0.7%
기타 55
 
0.5%
<NA> 41
 
0.4%
TV홈쇼핑, 인터넷 30
 
0.3%
카다로그, 인터넷 23
 
0.2%
기타, 카다로그, 인터넷 19
 
0.2%
TV홈쇼핑 18
 
0.2%
신문잡지 14
 
0.1%
Other values (33) 130
 
1.3%

Length

2023-12-11T03:11:22.997818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9862
93.2%
기타 339
 
3.2%
카다로그 135
 
1.3%
tv홈쇼핑 117
 
1.1%
신문잡지 91
 
0.9%
na 41
 
0.4%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
2382623827통신판매업08_26_04_P3450000201334500993020022720130514<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 연암로4길 51 (산격동)702843토이엔젤20130514111041I2018-08-31 23:59:59.0교육/도서/완구/오락344756.012649266778.131986<NA><NA><NA>인터넷
695696통신판매업08_26_04_P3410000201434101053020001120140108<NA>3폐업3폐업처리20170216<NA><NA><NA>053-423-3040<NA><NA><NA>대구광역시 중구 동성로2길 24, 1층 (삼덕동1가)700411리안헤어20170216174453I2018-08-31 23:59:59.0의류/패션/잡화/뷰티344120.95797264157.249279<NA><NA><NA>인터넷
3982739828통신판매업08_26_04_P3470000200834701173020039520081021<NA>3폐업3폐업처리20110222<NA><NA><NA>053-633-5253<NA>704360대구광역시 달서구 진천동 239번지 23호대구광역시 달서구 월배로28안길 54 (진천동)<NA>녹지원20110222153557I2018-08-31 23:59:59.0건강/식품338035.575597258090.741108<NA><NA><NA>인터넷
1098110982통신판매업08_26_04_P3420000201034200903020032020100930<NA>1영업/정상1정상영업<NA><NA><NA><NA>053939-9022<NA>701030대구광역시 동구 효목동 82번지 28호 1층 상가<NA><NA>통영물산20100930161801I2018-08-31 23:59:59.0건강/식품348046.783248266322.764262<NA><NA><NA>인터넷
2846928470통신판매업08_26_04_P3450000201434500993020040520140813<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 구암로 12, 3동 801호 (태전동, 롯데아파트)702785제이에스 코스메틱20161226093045I2018-08-31 23:59:59.0의류/패션/잡화/뷰티339042.928687271423.415214<NA><NA><NA>인터넷
4539345394통신판매업08_26_04_P3470000201734701173020009920170207<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 상화로 371 (상인동, 상인비둘기1단지아파트)42813영팔이20170207150617I2018-08-31 23:59:59.0의류/패션/잡화/뷰티340294.811984257685.990487<NA><NA><NA>인터넷
3460634607통신판매업08_26_04_P3460000202034601773020009820200129<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 816번지 만촌1차우방타운대구광역시 수성구 교학로11길 46, 106동 705호 (만촌동, 만촌1차우방타운)42073바니핏20200303153248U2020-03-05 02:40:00.0의류/패션/잡화/뷰티349406.436979262298.536178<NA><NA><NA>인터넷
4486544866통신판매업08_26_04_P3470000201934701813020058220190509<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 1992번지 18호대구광역시 달서구 중흥로10길 39 (송현동)42819자연요법20190510143254I2019-05-12 02:20:43.0건강/식품340507.995869259847.73906<NA><NA><NA>인터넷
2712427125통신판매업08_26_04_P3450000200934500993020035720090724<NA>3폐업3폐업처리20110704<NA><NA><NA>358-8582<NA>702813대구광역시 북구 노원동3가 1001번지 3호 1층대구광역시 북구 노원로10길 41-3 (노원동3가,1층)<NA>대한물산20110704162308I2018-08-31 23:59:59.0건강/식품341676.587025266870.567814<NA><NA><NA>인터넷
9899통신판매업08_26_04_P3410000200434100713020045820040826<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 427 2215<NA><NA>대구광역시 중구 남산1동 2107-20<NA><NA>포토라인20200829150307U2020-09-01 02:40:00.0기타<NA><NA><NA><NA><NA>인터넷
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
719720통신판매업08_26_04_P3410000200934100713020034620091106<NA>3폐업3폐업처리20100125<NA><NA><NA>1588 5409<NA>700380대구광역시 중구 달성동 258번지 4호대구광역시 중구 달성공원로8길 27 (달성동)<NA>엠엠통상(주)20100125174125I2018-08-31 23:59:59.0기타342765.763518264863.107074<NA><NA><NA>인터넷
14711472통신판매업08_26_04_P3410000201634101203020007320160226<NA>3폐업3폐업처리20170914<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산로6안길 27-63, 202호 (남산동, 일선빌라)41972세이아트20170914131442I2018-08-31 23:59:59.0종합몰343237.825984263154.506645<NA><NA><NA>인터넷
2665126652통신판매업08_26_04_P3450000201834501553020077620181002<NA>3폐업3폐업처리20191211<NA><NA><NA><NA><NA><NA>대구광역시 북구 학정동 947번지 15호 리더스빌 1층대구광역시 북구 학정동로13길 7-1, 리더스빌 1층 (학정동)41416퍼펙트에스(PerfectS)20191211105504U2019-12-13 02:40:00.0의류/패션/잡화/뷰티341291.965233273315.933645<NA><NA><NA>인터넷
2224722248통신판매업08_26_04_P3450000201934501603020039120191106<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 구암동 46<NA><NA>가행나무20200304141551U2020-03-06 02:40:00.0기타<NA><NA><NA><NA><NA>인터넷
57395740통신판매업08_26_04_P3420000200734200903020077920070110<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>0539590909<NA><NA>불로동1147-7<NA><NA>에이포탈20191126150514I2019-11-28 00:23:35.0성인/성인용품<NA><NA><NA><NA><NA>인터넷
3426634267통신판매업08_26_04_P3460000201834601403020066020180910<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 파동 581번지 28호 송원맨션 3동 407호대구광역시 수성구 파동로 223, 3동 407호 (파동, 송원맨션)42223꼬망세20180910143719U2018-09-10 23:59:59.0의류/패션/잡화/뷰티345511.861345259225.522557<NA><NA><NA>인터넷
3146631467통신판매업08_26_04_P3460000200834601023020035420081217<NA>3폐업3폐업처리20120420<NA><NA><NA>7944654<NA>706170대구광역시 수성구 신매동 596번지 8호 8통 1반 202호대구광역시 수성구 고산로4안길 9-7, 202호 (신매동)<NA>돌플라자20120420171445I2018-08-31 23:59:59.0교육/도서/완구/오락353954.218768260543.095886<NA><NA><NA>인터넷
4715147152통신판매업08_26_04_P3470000200734701173020031620070911<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-582-1222<NA>704130대구광역시 달서구 용산동 419번지 5호대구광역시 달서구 선원남로 181 (용산동)<NA>퍼플하트20100915132749I2018-08-31 23:59:59.0의류/패션/잡화/뷰티337206.813352263044.967724<NA><NA><NA>인터넷
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