Overview

Dataset statistics

Number of variables32
Number of observations3973
Missing cells47846
Missing cells (%)37.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory278.0 B

Variable types

Numeric18
Categorical6
Text4
Unsupported3
DateTime1

Dataset

Description22년02월_6270000_대구광역시_08_26_02_P_방문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092434&dataSetDetailId=DDI_0000092466&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 3519 (88.6%) missing valuesMissing
폐업일자 has 2311 (58.2%) missing valuesMissing
휴업시작일자 has 3963 (99.7%) missing valuesMissing
휴업종료일자 has 3963 (99.7%) missing valuesMissing
재개업일자 has 3966 (99.8%) missing valuesMissing
소재지전화 has 682 (17.2%) missing valuesMissing
소재지면적 has 3973 (100.0%) missing valuesMissing
소재지우편번호 has 2543 (64.0%) missing valuesMissing
소재지전체주소 has 670 (16.9%) missing valuesMissing
도로명전체주소 has 1130 (28.4%) missing valuesMissing
도로명우편번호 has 2274 (57.2%) missing valuesMissing
업태구분명 has 3973 (100.0%) missing valuesMissing
좌표정보(X) has 1112 (28.0%) missing valuesMissing
좌표정보(Y) has 1112 (28.0%) missing valuesMissing
자산규모 has 2891 (72.8%) missing valuesMissing
부채총액 has 2898 (72.9%) missing valuesMissing
자본금 has 2893 (72.8%) missing valuesMissing
판매방식명 has 3973 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 27.62249605)Skewed
부채총액 is highly skewed (γ1 = 24.60117049)Skewed
자본금 is highly skewed (γ1 = 23.88852997)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
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
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 303 (7.6%) zerosZeros
부채총액 has 642 (16.2%) zerosZeros
자본금 has 277 (7.0%) zerosZeros

Reproduction

Analysis started2023-12-10 18:59:02.573816
Analysis finished2023-12-10 18:59:04.337893
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3973
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1987
Minimum1
Maximum3973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:04.449600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile199.6
Q1994
median1987
Q32980
95-th percentile3774.4
Maximum3973
Range3972
Interquartile range (IQR)1986

Descriptive statistics

Standard deviation1147.0506
Coefficient of variation (CV)0.57727762
Kurtosis-1.2
Mean1987
Median Absolute Deviation (MAD)993
Skewness0
Sum7894351
Variance1315725.2
MonotonicityStrictly increasing
2023-12-11T03:59:04.696336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2655 1
 
< 0.1%
2642 1
 
< 0.1%
2643 1
 
< 0.1%
2644 1
 
< 0.1%
2645 1
 
< 0.1%
2646 1
 
< 0.1%
2647 1
 
< 0.1%
2648 1
 
< 0.1%
2649 1
 
< 0.1%
Other values (3963) 3963
99.7%
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 (%)
3973 1
< 0.1%
3972 1
< 0.1%
3971 1
< 0.1%
3970 1
< 0.1%
3969 1
< 0.1%
3968 1
< 0.1%
3967 1
< 0.1%
3966 1
< 0.1%
3965 1
< 0.1%
3964 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
방문판매업
3973 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방문판매업 3973
100.0%

Length

2023-12-11T03:59:04.927912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:05.085900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문판매업 3973
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
08_26_02_P
3973 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_02_P
2nd row08_26_02_P
3rd row08_26_02_P
4th row08_26_02_P
5th row08_26_02_P

Common Values

ValueCountFrequency (%)
08_26_02_P 3973
100.0%

Length

2023-12-11T03:59:05.247641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:05.417819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_02_p 3973
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441170.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:05.566899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation23275.668
Coefficient of variation (CV)0.0067638812
Kurtosis-1.464831
Mean3441170.4
Median Absolute Deviation (MAD)20000
Skewness-0.00057876891
Sum1.367177 × 1010
Variance5.4175671 × 108
MonotonicityIncreasing
2023-12-11T03:59:05.779264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 780
19.6%
3470000 694
17.5%
3420000 663
16.7%
3460000 615
15.5%
3450000 437
11.0%
3440000 381
9.6%
3430000 246
 
6.2%
3480000 157
 
4.0%
ValueCountFrequency (%)
3410000 780
19.6%
3420000 663
16.7%
3430000 246
 
6.2%
3440000 381
9.6%
3450000 437
11.0%
3460000 615
15.5%
3470000 694
17.5%
3480000 157
 
4.0%
ValueCountFrequency (%)
3480000 157
 
4.0%
3470000 694
17.5%
3460000 615
15.5%
3450000 437
11.0%
3440000 381
9.6%
3430000 246
 
6.2%
3420000 663
16.7%
3410000 780
19.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3973
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0099648 × 1018
Minimum1.996341 × 1018
Maximum2.022347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:06.062967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996341 × 1018
5-th percentile1.999345 × 1018
Q12.005342 × 1018
median2.009347 × 1018
Q32.015342 × 1018
95-th percentile2.020344 × 1018
Maximum2.022347 × 1018
Range2.6006011 × 1016
Interquartile range (IQR)1.0000004 × 1016

Descriptive statistics

Standard deviation6.3439261 × 1015
Coefficient of variation (CV)0.0031562374
Kurtosis-0.84673644
Mean2.0099648 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness-0.042963908
Sum-1.8499623 × 1018
Variance4.0245399 × 1031
MonotonicityNot monotonic
2023-12-11T03:59:06.323619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2003341007123200269 1
 
< 0.1%
2015346014023200019 1
 
< 0.1%
2010346011723200002 1
 
< 0.1%
2012346011723200031 1
 
< 0.1%
2013346011723200018 1
 
< 0.1%
2013346014023200002 1
 
< 0.1%
2010346010223200025 1
 
< 0.1%
2013346014023200003 1
 
< 0.1%
2013346014023200008 1
 
< 0.1%
2010346011723200024 1
 
< 0.1%
Other values (3963) 3963
99.7%
ValueCountFrequency (%)
1996341007123200001 1
< 0.1%
1996341007123200002 1
< 0.1%
1996341007123200003 1
< 0.1%
1996341007123200004 1
< 0.1%
1996341007123200005 1
< 0.1%
1996341007123200006 1
< 0.1%
1996341007123200007 1
< 0.1%
1996341007123200008 1
< 0.1%
1996341007123200009 1
< 0.1%
1996341007123200010 1
< 0.1%
ValueCountFrequency (%)
2022347018123200004 1
< 0.1%
2022347018123200003 1
< 0.1%
2022347018123200002 1
< 0.1%
2022347018123200001 1
< 0.1%
2022345016023200002 1
< 0.1%
2022345016023200001 1
< 0.1%
2022344012423200001 1
< 0.1%
2022343009523200004 1
< 0.1%
2022343009523200003 1
< 0.1%
2022343009523200002 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct2699
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20094975
Minimum19960812
Maximum20220228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:06.574594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960812
5-th percentile19990719
Q120050401
median20090915
Q320150108
95-th percentile20200130
Maximum20220228
Range259416
Interquartile range (IQR)99707

Descriptive statistics

Standard deviation62637.938
Coefficient of variation (CV)0.0031170946
Kurtosis-0.82221503
Mean20094975
Median Absolute Deviation (MAD)49797
Skewness-0.013948324
Sum7.9837334 × 1010
Variance3.9235112 × 109
MonotonicityNot monotonic
2023-12-11T03:59:06.894604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070529 13
 
0.3%
20170628 10
 
0.3%
20110106 8
 
0.2%
20050402 8
 
0.2%
19960902 8
 
0.2%
20170629 7
 
0.2%
20100111 7
 
0.2%
20110104 7
 
0.2%
20041026 7
 
0.2%
20070710 6
 
0.2%
Other values (2689) 3892
98.0%
ValueCountFrequency (%)
19960812 1
 
< 0.1%
19960814 1
 
< 0.1%
19960827 2
 
0.1%
19960830 1
 
< 0.1%
19960902 8
0.2%
19960904 1
 
< 0.1%
19960905 1
 
< 0.1%
19960911 1
 
< 0.1%
19961004 1
 
< 0.1%
19961104 2
 
0.1%
ValueCountFrequency (%)
20220228 2
0.1%
20220214 1
< 0.1%
20220203 1
< 0.1%
20220121 1
< 0.1%
20220120 1
< 0.1%
20220112 1
< 0.1%
20220107 1
< 0.1%
20211216 1
< 0.1%
20211209 1
< 0.1%
20211201 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)11.9%
Missing3519
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean20089939
Minimum20031210
Maximum20180530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:07.138652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031210
5-th percentile20070920
Q120080812
median20090122
Q320090217
95-th percentile20130739
Maximum20180530
Range149320
Interquartile range (IQR)9405

Descriptive statistics

Standard deviation17143.055
Coefficient of variation (CV)0.00085331544
Kurtosis6.1339044
Mean20089939
Median Absolute Deviation (MAD)95
Skewness1.7947013
Sum9.1208323 × 109
Variance2.9388434 × 108
MonotonicityNot monotonic
2023-12-11T03:59:07.365433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090217 97
 
2.4%
20090122 81
 
2.0%
20090123 56
 
1.4%
20080715 22
 
0.6%
20120823 22
 
0.6%
20081128 19
 
0.5%
20070920 17
 
0.4%
20071008 15
 
0.4%
20080812 13
 
0.3%
20080703 12
 
0.3%
Other values (44) 100
 
2.5%
(Missing) 3519
88.6%
ValueCountFrequency (%)
20031210 3
 
0.1%
20061122 1
 
< 0.1%
20070611 2
 
0.1%
20070706 1
 
< 0.1%
20070820 5
 
0.1%
20070910 2
 
0.1%
20070914 1
 
< 0.1%
20070920 17
0.4%
20071002 1
 
< 0.1%
20071008 15
0.4%
ValueCountFrequency (%)
20180530 1
 
< 0.1%
20161026 1
 
< 0.1%
20160105 4
 
0.1%
20151230 1
 
< 0.1%
20150717 1
 
< 0.1%
20150714 1
 
< 0.1%
20150623 1
 
< 0.1%
20141215 1
 
< 0.1%
20130917 1
 
< 0.1%
20130802 11
0.3%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
3
1831 
4
1411 
1
724 
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1831
46.1%
4 1411
35.5%
1 724
 
18.2%
2 7
 
0.2%

Length

2023-12-11T03:59:07.649310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:07.840843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1831
46.1%
4 1411
35.5%
1 724
 
18.2%
2 7
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
폐업
1831 
취소/말소/만료/정지/중지
1411 
영업/정상
724 
휴업
 
7

Length

Max length14
Median length5
Mean length6.8084571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1831
46.1%
취소/말소/만료/정지/중지 1411
35.5%
영업/정상 724
 
18.2%
휴업 7
 
0.2%

Length

2023-12-11T03:59:08.048911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:08.248568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1831
46.1%
취소/말소/만료/정지/중지 1411
35.5%
영업/정상 724
 
18.2%
휴업 7
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7145734
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:08.490583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0447121
Coefficient of variation (CV)0.55045678
Kurtosis-0.8248288
Mean3.7145734
Median Absolute Deviation (MAD)1
Skewness0.55430531
Sum14758
Variance4.1808475
MonotonicityNot monotonic
2023-12-11T03:59:08.773947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 1831
46.1%
7 952
24.0%
1 719
 
18.1%
4 459
 
11.6%
2 7
 
0.2%
6 4
 
0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
1 719
 
18.1%
2 7
 
0.2%
3 1831
46.1%
4 459
 
11.6%
6 4
 
0.1%
7 952
24.0%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 952
24.0%
6 4
 
0.1%
4 459
 
11.6%
3 1831
46.1%
2 7
 
0.2%
1 719
 
18.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
폐업처리
1831 
직권말소
952 
정상영업
719 
직권취소
459 
휴업처리
 
7
Other values (2)
 
5

Length

Max length6
Median length4
Mean length4.0020136
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1831
46.1%
직권말소 952
24.0%
정상영업 719
 
18.1%
직권취소 459
 
11.6%
휴업처리 7
 
0.2%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

Length

2023-12-11T03:59:09.054188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:09.294611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1831
46.1%
직권말소 952
24.0%
정상영업 719
 
18.1%
직권취소 459
 
11.6%
휴업처리 7
 
0.2%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1203
Distinct (%)72.4%
Missing2311
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean20132984
Minimum19970508
Maximum20220208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:09.545227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970508
5-th percentile20070922
Q120100728
median20130816
Q320167889
95-th percentile20201028
Maximum20220208
Range249700
Interquartile range (IQR)67161.5

Descriptive statistics

Standard deviation41757.184
Coefficient of variation (CV)0.0020740683
Kurtosis-0.64793116
Mean20132984
Median Absolute Deviation (MAD)30307
Skewness0.13480176
Sum3.3461019 × 1010
Variance1.7436624 × 109
MonotonicityNot monotonic
2023-12-11T03:59:09.837553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130916 11
 
0.3%
20121231 7
 
0.2%
20101130 6
 
0.2%
20131023 6
 
0.2%
20101203 6
 
0.2%
20130819 6
 
0.2%
20131028 6
 
0.2%
20140120 5
 
0.1%
20131230 5
 
0.1%
20131022 5
 
0.1%
Other values (1193) 1599
40.2%
(Missing) 2311
58.2%
ValueCountFrequency (%)
19970508 1
< 0.1%
19990629 1
< 0.1%
20020502 1
< 0.1%
20020801 1
< 0.1%
20030418 1
< 0.1%
20040224 1
< 0.1%
20040317 1
< 0.1%
20040605 1
< 0.1%
20040612 1
< 0.1%
20040625 1
< 0.1%
ValueCountFrequency (%)
20220208 1
< 0.1%
20220203 1
< 0.1%
20220125 1
< 0.1%
20220120 2
0.1%
20220105 1
< 0.1%
20211231 2
0.1%
20211228 1
< 0.1%
20211221 1
< 0.1%
20211215 2
0.1%
20211209 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing3963
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20144725
Minimum19970415
Maximum20210807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:10.334011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970415
5-th percentile20029011
Q120123207
median20156061
Q320200545
95-th percentile20206358
Maximum20210807
Range240392
Interquartile range (IQR)77338.25

Descriptive statistics

Standard deviation72381.564
Coefficient of variation (CV)0.0035930778
Kurtosis3.4196149
Mean20144725
Median Absolute Deviation (MAD)44409
Skewness-1.6779625
Sum2.0144725 × 108
Variance5.2390909 × 109
MonotonicityNot monotonic
2023-12-11T03:59:10.497767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20100629 1
 
< 0.1%
20200921 1
 
< 0.1%
20200620 1
 
< 0.1%
20200320 1
 
< 0.1%
20130715 1
 
< 0.1%
20161219 1
 
< 0.1%
19970415 1
 
< 0.1%
20120704 1
 
< 0.1%
20150903 1
 
< 0.1%
20210807 1
 
< 0.1%
(Missing) 3963
99.7%
ValueCountFrequency (%)
19970415 1
< 0.1%
20100629 1
< 0.1%
20120704 1
< 0.1%
20130715 1
< 0.1%
20150903 1
< 0.1%
20161219 1
< 0.1%
20200320 1
< 0.1%
20200620 1
< 0.1%
20200921 1
< 0.1%
20210807 1
< 0.1%
ValueCountFrequency (%)
20210807 1
< 0.1%
20200921 1
< 0.1%
20200620 1
< 0.1%
20200320 1
< 0.1%
20161219 1
< 0.1%
20150903 1
< 0.1%
20130715 1
< 0.1%
20120704 1
< 0.1%
20100629 1
< 0.1%
19970415 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing3963
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20154593
Minimum19990415
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:10.687526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990415
5-th percentile20044511
Q120137804
median20165475
Q320200628
95-th percentile20211078
Maximum20211207
Range220792
Interquartile range (IQR)62823.5

Descriptive statistics

Standard deviation67005.321
Coefficient of variation (CV)0.0033245683
Kurtosis3.8896209
Mean20154593
Median Absolute Deviation (MAD)35150.5
Skewness-1.8305731
Sum2.0154593 × 108
Variance4.4897131 × 109
MonotonicityNot monotonic
2023-12-11T03:59:10.857565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20110629 1
 
< 0.1%
20210921 1
 
< 0.1%
20200630 1
 
< 0.1%
20200620 1
 
< 0.1%
20160630 1
 
< 0.1%
20170320 1
 
< 0.1%
19990415 1
 
< 0.1%
20130329 1
 
< 0.1%
20160229 1
 
< 0.1%
20211207 1
 
< 0.1%
(Missing) 3963
99.7%
ValueCountFrequency (%)
19990415 1
< 0.1%
20110629 1
< 0.1%
20130329 1
< 0.1%
20160229 1
< 0.1%
20160630 1
< 0.1%
20170320 1
< 0.1%
20200620 1
< 0.1%
20200630 1
< 0.1%
20210921 1
< 0.1%
20211207 1
< 0.1%
ValueCountFrequency (%)
20211207 1
< 0.1%
20210921 1
< 0.1%
20200630 1
< 0.1%
20200620 1
< 0.1%
20170320 1
< 0.1%
20160630 1
< 0.1%
20160229 1
< 0.1%
20130329 1
< 0.1%
20110629 1
< 0.1%
19990415 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing3966
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20179327
Minimum20090304
Maximum20211129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:11.014738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090304
5-th percentile20111543
Q120170814
median20190402
Q320210912
95-th percentile20211121
Maximum20211129
Range120825
Interquartile range (IQR)40098.5

Descriptive statistics

Standard deviation43566.042
Coefficient of variation (CV)0.0021589443
Kurtosis3.1427469
Mean20179327
Median Absolute Deviation (MAD)20700
Skewness-1.7354457
Sum1.4125529 × 108
Variance1.898 × 109
MonotonicityNot monotonic
2023-12-11T03:59:11.218043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20211102 1
 
< 0.1%
20161102 1
 
< 0.1%
20090304 1
 
< 0.1%
20211129 1
 
< 0.1%
20180525 1
 
< 0.1%
20190402 1
 
< 0.1%
20210722 1
 
< 0.1%
(Missing) 3966
99.8%
ValueCountFrequency (%)
20090304 1
< 0.1%
20161102 1
< 0.1%
20180525 1
< 0.1%
20190402 1
< 0.1%
20210722 1
< 0.1%
20211102 1
< 0.1%
20211129 1
< 0.1%
ValueCountFrequency (%)
20211129 1
< 0.1%
20211102 1
< 0.1%
20210722 1
< 0.1%
20190402 1
< 0.1%
20180525 1
< 0.1%
20161102 1
< 0.1%
20090304 1
< 0.1%

소재지전화
Text

MISSING 

Distinct3034
Distinct (%)92.2%
Missing682
Missing (%)17.2%
Memory size31.2 KiB
2023-12-11T03:59:11.632349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.381647
Min length1

Characters and Unicode

Total characters37457
Distinct characters19
Distinct categories8 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2861 ?
Unique (%)86.9%

Sample

1st row053 422 7778
2nd row053 256 1012
3rd row053 422 4690
4th row053 253 1172
5th row053 565 6484
ValueCountFrequency (%)
053 1319
 
22.5%
256 47
 
0.8%
429 46
 
0.8%
421 36
 
0.6%
255 35
 
0.6%
423 35
 
0.6%
424 32
 
0.5%
426 32
 
0.5%
422 31
 
0.5%
252 29
 
0.5%
Other values (3095) 4216
72.0%
2023-12-11T03:59:12.350934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5774
15.4%
0 5443
14.5%
3 4893
13.1%
- 2989
8.0%
2 2915
7.8%
2615
7.0%
7 2417
6.5%
4 2359
6.3%
6 2351
6.3%
1 2087
 
5.6%
Other values (9) 3614
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31820
85.0%
Dash Punctuation 2989
 
8.0%
Space Separator 2615
 
7.0%
Close Punctuation 13
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Math Symbol 5
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5774
18.1%
0 5443
17.1%
3 4893
15.4%
2 2915
9.2%
7 2417
7.6%
4 2359
7.4%
6 2351
7.4%
1 2087
 
6.6%
8 1861
 
5.8%
9 1720
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 9
81.8%
/ 1
 
9.1%
' 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 2989
100.0%
Space Separator
ValueCountFrequency (%)
2615
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5774
15.4%
0 5443
14.5%
3 4893
13.1%
- 2989
8.0%
2 2915
7.8%
2615
7.0%
7 2417
6.5%
4 2359
6.3%
6 2351
6.3%
1 2087
 
5.6%
Other values (9) 3614
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5774
15.4%
0 5443
14.5%
3 4893
13.1%
- 2989
8.0%
2 2915
7.8%
2615
7.0%
7 2417
6.5%
4 2359
6.3%
6 2351
6.3%
1 2087
 
5.6%
Other values (9) 3614
9.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3973
Missing (%)100.0%
Memory size35.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct394
Distinct (%)27.6%
Missing2543
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean703563.57
Minimum614030
Maximum790882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:12.618706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum614030
5-th percentile700412
Q1701320
median703805.5
Q3705032
95-th percentile706831
Maximum790882
Range176852
Interquartile range (IQR)3712

Descriptive statistics

Standard deviation4186.6603
Coefficient of variation (CV)0.0059506496
Kurtosis278.60681
Mean703563.57
Median Absolute Deviation (MAD)1980
Skewness-0.13025132
Sum1.0060959 × 109
Variance17528124
MonotonicityNot monotonic
2023-12-11T03:59:12.924023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705030 51
 
1.3%
701020 39
 
1.0%
704340 36
 
0.9%
702010 34
 
0.9%
700719 33
 
0.8%
702260 33
 
0.8%
704140 29
 
0.7%
704060 27
 
0.7%
706010 24
 
0.6%
706020 20
 
0.5%
Other values (384) 1104
27.8%
(Missing) 2543
64.0%
ValueCountFrequency (%)
614030 1
 
< 0.1%
700010 7
0.2%
700020 2
 
0.1%
700060 1
 
< 0.1%
700070 2
 
0.1%
700082 5
0.1%
700092 1
 
< 0.1%
700093 2
 
0.1%
700111 3
0.1%
700140 2
 
0.1%
ValueCountFrequency (%)
790882 1
 
< 0.1%
730010 1
 
< 0.1%
711891 1
 
< 0.1%
711882 1
 
< 0.1%
711874 1
 
< 0.1%
711872 1
 
< 0.1%
711863 1
 
< 0.1%
711857 9
0.2%
711854 1
 
< 0.1%
711852 2
 
0.1%

소재지전체주소
Text

MISSING 

Distinct2081
Distinct (%)63.0%
Missing670
Missing (%)16.9%
Memory size31.2 KiB
2023-12-11T03:59:13.562086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length24.48683
Min length7

Characters and Unicode

Total characters80880
Distinct characters399
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

Unique1607 ?
Unique (%)48.7%

Sample

1st row대구광역시 중구 남산동 ***-*
2nd row대구광역시 중구 향촌 ** 대보백화점 ***
3rd row대구광역시 중구 동산동 ***
4th row대구광역시 중구 남산동 *** 계산타워 **층
5th row대구광역시 중구 달성동 ***-**
ValueCountFrequency (%)
대구광역시 2987
17.9%
호 2058
 
12.3%
번지 2014
 
12.1%
1154
 
6.9%
층 720
 
4.3%
중구 690
 
4.1%
달서구 543
 
3.3%
수성구 494
 
3.0%
동구 383
 
2.3%
북구 335
 
2.0%
Other values (1058) 5319
31.9%
2023-12-11T03:59:14.527040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 17891
22.1%
16537
20.4%
구 5964
 
7.4%
동 3738
 
4.6%
대 3484
 
4.3%
시 3051
 
3.8%
광 3008
 
3.7%
역 3001
 
3.7%
지 2210
 
2.7%
호 2155
 
2.7%
Other values (389) 19841
24.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44940
55.6%
Other Punctuation 17987
22.2%
Space Separator 16537
 
20.4%
Dash Punctuation 1122
 
1.4%
Uppercase Letter 153
 
0.2%
Open Punctuation 62
 
0.1%
Close Punctuation 62
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5964
 
13.3%
동 3738
 
8.3%
대 3484
 
7.8%
시 3051
 
6.8%
광 3008
 
6.7%
역 3001
 
6.7%
지 2210
 
4.9%
호 2155
 
4.8%
번 2039
 
4.5%
성 960
 
2.1%
Other values (352) 15330
34.1%
Uppercase Letter
ValueCountFrequency (%)
B 31
20.3%
A 19
12.4%
D 17
11.1%
T 17
11.1%
K 17
11.1%
S 11
 
7.2%
C 7
 
4.6%
M 7
 
4.6%
P 5
 
3.3%
O 4
 
2.6%
Other values (9) 18
11.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
35.7%
k 2
 
14.3%
t 2
 
14.3%
b 2
 
14.3%
c 1
 
7.1%
m 1
 
7.1%
d 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 17891
99.5%
/ 43
 
0.2%
, 38
 
0.2%
. 13
 
0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44941
55.6%
Common 35772
44.2%
Latin 167
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5964
 
13.3%
동 3738
 
8.3%
대 3484
 
7.8%
시 3051
 
6.8%
광 3008
 
6.7%
역 3001
 
6.7%
지 2210
 
4.9%
호 2155
 
4.8%
번 2039
 
4.5%
성 960
 
2.1%
Other values (353) 15331
34.1%
Latin
ValueCountFrequency (%)
B 31
18.6%
A 19
11.4%
D 17
10.2%
T 17
10.2%
K 17
10.2%
S 11
 
6.6%
C 7
 
4.2%
M 7
 
4.2%
P 5
 
3.0%
e 5
 
3.0%
Other values (16) 31
18.6%
Common
ValueCountFrequency (%)
* 17891
50.0%
16537
46.2%
- 1122
 
3.1%
( 62
 
0.2%
) 62
 
0.2%
/ 43
 
0.1%
, 38
 
0.1%
. 13
 
< 0.1%
@ 2
 
< 0.1%
~ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44940
55.6%
ASCII 35939
44.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 17891
49.8%
16537
46.0%
- 1122
 
3.1%
( 62
 
0.2%
) 62
 
0.2%
/ 43
 
0.1%
, 38
 
0.1%
B 31
 
0.1%
A 19
 
0.1%
D 17
 
< 0.1%
Other values (26) 117
 
0.3%
Hangul
ValueCountFrequency (%)
구 5964
 
13.3%
동 3738
 
8.3%
대 3484
 
7.8%
시 3051
 
6.8%
광 3008
 
6.7%
역 3001
 
6.7%
지 2210
 
4.9%
호 2155
 
4.8%
번 2039
 
4.5%
성 960
 
2.1%
Other values (352) 15330
34.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2163
Distinct (%)76.1%
Missing1130
Missing (%)28.4%
Memory size31.2 KiB
2023-12-11T03:59:15.054318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length29.406964
Min length11

Characters and Unicode

Total characters83604
Distinct characters408
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1799 ?
Unique (%)63.3%

Sample

1st row대구광역시 중구 명덕로 ***, 한국타일도기전시장 (대봉동)
2nd row대구광역시 중구 국채보상로***길 * (동인동*가)
3rd row대구광역시 중구 경상감영길 *** (동문동)
4th row대구광역시 중구 큰장로**길 **, *층 제*호 (대신동)
5th row대구광역시 중구 태평로 ***, 미주빌딩 *층 (동인동*가)
ValueCountFrequency (%)
2864
17.3%
대구광역시 2842
17.2%
층 766
 
4.6%
호 610
 
3.7%
달서구 540
 
3.3%
동구 462
 
2.8%
수성구 432
 
2.6%
북구 428
 
2.6%
중구 338
 
2.0%
남구 315
 
1.9%
Other values (1587) 6943
42.0%
2023-12-11T03:59:15.939517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13719
16.4%
* 13684
16.4%
구 6019
 
7.2%
동 4043
 
4.8%
대 3918
 
4.7%
시 2913
 
3.5%
역 2877
 
3.4%
광 2857
 
3.4%
로 2796
 
3.3%
) 2752
 
3.3%
Other values (398) 28026
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47945
57.3%
Other Punctuation 15850
 
19.0%
Space Separator 13719
 
16.4%
Close Punctuation 2752
 
3.3%
Open Punctuation 2751
 
3.3%
Dash Punctuation 450
 
0.5%
Uppercase Letter 121
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6019
 
12.6%
동 4043
 
8.4%
대 3918
 
8.2%
시 2913
 
6.1%
역 2877
 
6.0%
광 2857
 
6.0%
로 2796
 
5.8%
층 1069
 
2.2%
길 1065
 
2.2%
성 1000
 
2.1%
Other values (369) 19388
40.4%
Uppercase Letter
ValueCountFrequency (%)
K 25
20.7%
T 18
14.9%
B 18
14.9%
A 18
14.9%
S 14
11.6%
H 5
 
4.1%
C 5
 
4.1%
P 4
 
3.3%
L 4
 
3.3%
D 3
 
2.5%
Other values (6) 7
 
5.8%
Other Punctuation
ValueCountFrequency (%)
* 13684
86.3%
, 2155
 
13.6%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 10
71.4%
t 2
 
14.3%
k 2
 
14.3%
Space Separator
ValueCountFrequency (%)
13719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2752
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47945
57.3%
Common 35524
42.5%
Latin 135
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6019
 
12.6%
동 4043
 
8.4%
대 3918
 
8.2%
시 2913
 
6.1%
역 2877
 
6.0%
광 2857
 
6.0%
로 2796
 
5.8%
층 1069
 
2.2%
길 1065
 
2.2%
성 1000
 
2.1%
Other values (369) 19388
40.4%
Latin
ValueCountFrequency (%)
K 25
18.5%
T 18
13.3%
B 18
13.3%
A 18
13.3%
S 14
10.4%
e 10
 
7.4%
H 5
 
3.7%
C 5
 
3.7%
P 4
 
3.0%
L 4
 
3.0%
Other values (9) 14
10.4%
Common
ValueCountFrequency (%)
13719
38.6%
* 13684
38.5%
) 2752
 
7.7%
( 2751
 
7.7%
, 2155
 
6.1%
- 450
 
1.3%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
~ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47945
57.3%
ASCII 35659
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13719
38.5%
* 13684
38.4%
) 2752
 
7.7%
( 2751
 
7.7%
, 2155
 
6.0%
- 450
 
1.3%
K 25
 
0.1%
T 18
 
0.1%
B 18
 
0.1%
A 18
 
0.1%
Other values (19) 69
 
0.2%
Hangul
ValueCountFrequency (%)
구 6019
 
12.6%
동 4043
 
8.4%
대 3918
 
8.2%
시 2913
 
6.1%
역 2877
 
6.0%
광 2857
 
6.0%
로 2796
 
5.8%
층 1069
 
2.2%
길 1065
 
2.2%
성 1000
 
2.1%
Other values (369) 19388
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct962
Distinct (%)56.6%
Missing2274
Missing (%)57.2%
Infinite0
Infinite (%)0.0%
Mean298864.51
Minimum41000
Maximum711870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:16.184028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41166
Q141940.5
median42729
Q3702800
95-th percentile706820.2
Maximum711870
Range670870
Interquartile range (IQR)660859.5

Descriptive statistics

Standard deviation322691.78
Coefficient of variation (CV)1.079726
Kurtosis-1.789735
Mean298864.51
Median Absolute Deviation (MAD)1296
Skewness0.46070447
Sum5.077708 × 108
Variance1.0412999 × 1011
MonotonicityNot monotonic
2023-12-11T03:59:16.429723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705810 14
 
0.4%
700719 10
 
0.3%
41260 10
 
0.3%
701824 8
 
0.2%
42661 8
 
0.2%
41208 8
 
0.2%
41940 8
 
0.2%
42739 7
 
0.2%
41086 6
 
0.2%
41953 6
 
0.2%
Other values (952) 1614
40.6%
(Missing) 2274
57.2%
ValueCountFrequency (%)
41000 5
0.1%
41001 1
 
< 0.1%
41002 3
0.1%
41015 1
 
< 0.1%
41020 1
 
< 0.1%
41025 2
 
0.1%
41026 1
 
< 0.1%
41028 2
 
0.1%
41034 3
0.1%
41036 1
 
< 0.1%
ValueCountFrequency (%)
711870 1
 
< 0.1%
711860 1
 
< 0.1%
711857 1
 
< 0.1%
711856 1
 
< 0.1%
711854 1
 
< 0.1%
711843 2
0.1%
711837 3
0.1%
711836 1
 
< 0.1%
711834 3
0.1%
711832 1
 
< 0.1%

사업장명
Text

Distinct3676
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2023-12-11T03:59:16.798080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23
Mean length7.330229
Min length1

Characters and Unicode

Total characters29123
Distinct characters703
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3471 ?
Unique (%)87.4%

Sample

1st rowI.L.C
2nd row푸른건강식품
3rd row㈜하와
4th row창업대리점
5th row라인정밀(주)
ValueCountFrequency (%)
주식회사 245
 
4.7%
주 56
 
1.1%
마임 41
 
0.8%
인셀덤 28
 
0.5%
김정문알로에 22
 
0.4%
윤선생영어교실 22
 
0.4%
한불화장품 21
 
0.4%
유니베라 19
 
0.4%
대구 19
 
0.4%
대구지사 19
 
0.4%
Other values (3931) 4678
90.5%
2023-12-11T03:59:17.493526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1201
 
4.1%
대 866
 
3.0%
사 842
 
2.9%
주 755
 
2.6%
이 643
 
2.2%
리 625
 
2.1%
지 611
 
2.1%
( 568
 
2.0%
) 568
 
2.0%
스 548
 
1.9%
Other values (693) 21896
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25403
87.2%
Space Separator 1201
 
4.1%
Uppercase Letter 586
 
2.0%
Open Punctuation 568
 
2.0%
Close Punctuation 568
 
2.0%
Lowercase Letter 318
 
1.1%
Other Symbol 273
 
0.9%
Other Punctuation 116
 
0.4%
Decimal Number 67
 
0.2%
Dash Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 866
 
3.4%
사 842
 
3.3%
주 755
 
3.0%
이 643
 
2.5%
리 625
 
2.5%
지 611
 
2.4%
스 548
 
2.2%
점 496
 
2.0%
아 460
 
1.8%
구 431
 
1.7%
Other values (624) 19126
75.3%
Uppercase Letter
ValueCountFrequency (%)
S 64
 
10.9%
K 58
 
9.9%
C 54
 
9.2%
T 47
 
8.0%
M 42
 
7.2%
I 34
 
5.8%
D 32
 
5.5%
G 28
 
4.8%
B 25
 
4.3%
E 24
 
4.1%
Other values (14) 178
30.4%
Lowercase Letter
ValueCountFrequency (%)
o 40
12.6%
e 40
12.6%
a 27
 
8.5%
i 23
 
7.2%
n 23
 
7.2%
r 22
 
6.9%
c 21
 
6.6%
t 18
 
5.7%
l 16
 
5.0%
s 14
 
4.4%
Other values (13) 74
23.3%
Decimal Number
ValueCountFrequency (%)
1 27
40.3%
2 11
16.4%
0 9
 
13.4%
4 6
 
9.0%
3 4
 
6.0%
5 3
 
4.5%
7 2
 
3.0%
9 2
 
3.0%
6 2
 
3.0%
8 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 62
53.4%
& 32
27.6%
, 17
 
14.7%
/ 3
 
2.6%
# 1
 
0.9%
· 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 568
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25670
88.1%
Common 2543
 
8.7%
Latin 904
 
3.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 866
 
3.4%
사 842
 
3.3%
주 755
 
2.9%
이 643
 
2.5%
리 625
 
2.4%
지 611
 
2.4%
스 548
 
2.1%
점 496
 
1.9%
아 460
 
1.8%
구 431
 
1.7%
Other values (619) 19393
75.5%
Latin
ValueCountFrequency (%)
S 64
 
7.1%
K 58
 
6.4%
C 54
 
6.0%
T 47
 
5.2%
M 42
 
4.6%
o 40
 
4.4%
e 40
 
4.4%
I 34
 
3.8%
D 32
 
3.5%
G 28
 
3.1%
Other values (37) 465
51.4%
Common
ValueCountFrequency (%)
1201
47.2%
( 568
22.3%
) 568
22.3%
. 62
 
2.4%
& 32
 
1.3%
1 27
 
1.1%
- 22
 
0.9%
, 17
 
0.7%
2 11
 
0.4%
0 9
 
0.4%
Other values (11) 26
 
1.0%
Han
ValueCountFrequency (%)
參 1
16.7%
煐 1
16.7%
秀 1
16.7%
醫 1
16.7%
美 1
16.7%
內 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25396
87.2%
ASCII 3446
 
11.8%
None 274
 
0.9%
CJK 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1201
34.9%
( 568
16.5%
) 568
16.5%
S 64
 
1.9%
. 62
 
1.8%
K 58
 
1.7%
C 54
 
1.6%
T 47
 
1.4%
M 42
 
1.2%
o 40
 
1.2%
Other values (57) 742
21.5%
Hangul
ValueCountFrequency (%)
대 866
 
3.4%
사 842
 
3.3%
주 755
 
3.0%
이 643
 
2.5%
리 625
 
2.5%
지 611
 
2.4%
스 548
 
2.2%
점 496
 
2.0%
아 460
 
1.8%
구 431
 
1.7%
Other values (617) 19119
75.3%
None
ValueCountFrequency (%)
㈜ 273
99.6%
· 1
 
0.4%
CJK Compat Ideographs
ValueCountFrequency (%)
參 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
煐 1
20.0%
秀 1
20.0%
醫 1
20.0%
美 1
20.0%
內 1
20.0%

최종수정시점
Real number (ℝ)

Distinct3743
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0137277 × 1013
Minimum2.0070713 × 1013
Maximum2.0220228 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:17.712118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070713 × 1013
5-th percentile2.0080223 × 1013
Q12.0100305 × 1013
median2.0131125 × 1013
Q32.0171113 × 1013
95-th percentile2.0210326 × 1013
Maximum2.0220228 × 1013
Range1.4951503 × 1011
Interquartile range (IQR)7.0808019 × 1010

Descriptive statistics

Standard deviation4.2741104 × 1010
Coefficient of variation (CV)0.0021224867
Kurtosis-1.2021329
Mean2.0137277 × 1013
Median Absolute Deviation (MAD)3.9980901 × 1010
Skewness0.21601865
Sum8.0005403 × 1016
Variance1.826802 × 1021
MonotonicityNot monotonic
2023-12-11T03:59:17.959757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080223000000 231
 
5.8%
20151116205643 1
 
< 0.1%
20090218154736 1
 
< 0.1%
20090218164404 1
 
< 0.1%
20090218164046 1
 
< 0.1%
20090218155715 1
 
< 0.1%
20090218160833 1
 
< 0.1%
20090218160914 1
 
< 0.1%
20090218152933 1
 
< 0.1%
20090218143350 1
 
< 0.1%
Other values (3733) 3733
94.0%
ValueCountFrequency (%)
20070713133133 1
< 0.1%
20070713133352 1
< 0.1%
20070713133725 1
< 0.1%
20070713134047 1
< 0.1%
20070713134708 1
< 0.1%
20070713134946 1
< 0.1%
20070713135537 1
< 0.1%
20070713135809 1
< 0.1%
20070713140024 1
< 0.1%
20070713140316 1
< 0.1%
ValueCountFrequency (%)
20220228161329 1
< 0.1%
20220228142709 1
< 0.1%
20220228141825 1
< 0.1%
20220218110538 1
< 0.1%
20220216105208 1
< 0.1%
20220214114957 1
< 0.1%
20220208092641 1
< 0.1%
20220207191104 1
< 0.1%
20220207135308 1
< 0.1%
20220203174847 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
I
3383 
U
590 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3383
85.1%
U 590
 
14.9%

Length

2023-12-11T03:59:18.153978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:18.289144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3383
85.1%
u 590
 
14.9%

데이터갱신일자
Date

Distinct567
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-03-02 02:40:00
2023-12-11T03:59:18.471507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:18.675829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3973
Missing (%)100.0%
Memory size35.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2176
Distinct (%)76.1%
Missing1112
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean343363.05
Minimum320685.91
Maximum411802.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:18.881557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum320685.91
5-th percentile335538.49
Q1340081.74
median343660.14
Q3346296.84
95-th percentile352707.28
Maximum411802.02
Range91116.119
Interquartile range (IQR)6215.0916

Descriptive statistics

Standard deviation4982.6013
Coefficient of variation (CV)0.014511175
Kurtosis14.695754
Mean343363.05
Median Absolute Deviation (MAD)3050.5304
Skewness1.1092956
Sum9.8236167 × 108
Variance24826315
MonotonicityNot monotonic
2023-12-11T03:59:19.094871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.259338 47
 
1.2%
344204.522469 9
 
0.2%
346139.253495 9
 
0.2%
346854.59615 8
 
0.2%
346942.691097 8
 
0.2%
341316.891342 8
 
0.2%
345510.790351 6
 
0.2%
342857.951161 6
 
0.2%
351244.303824 6
 
0.2%
346708.407019 6
 
0.2%
Other values (2166) 2748
69.2%
(Missing) 1112
28.0%
ValueCountFrequency (%)
320685.90565119 1
< 0.1%
327726.835884 1
< 0.1%
328475.302248 1
< 0.1%
328477.676905 1
< 0.1%
329646.16676 1
< 0.1%
329904.395692 1
< 0.1%
329988.610666 1
< 0.1%
329997.180892 1
< 0.1%
330025.0 2
0.1%
330036.774848 2
0.1%
ValueCountFrequency (%)
411802.024296292 1
< 0.1%
387406.067019474 1
< 0.1%
358087.168153 1
< 0.1%
356695.286566 1
< 0.1%
356565.367584 1
< 0.1%
356490.224801 1
< 0.1%
356411.615245 1
< 0.1%
356391.674186 1
< 0.1%
356325.339359 1
< 0.1%
356321.036355 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2179
Distinct (%)76.2%
Missing1112
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean263495.36
Minimum186676.31
Maximum292580.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:19.306893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186676.31
5-th percentile258010.84
Q1261501.53
median263551.22
Q3265174.6
95-th percentile271121.27
Maximum292580.46
Range105904.15
Interquartile range (IQR)3673.0763

Descriptive statistics

Standard deviation4327.3043
Coefficient of variation (CV)0.016422696
Kurtosis38.595091
Mean263495.36
Median Absolute Deviation (MAD)1900.3018
Skewness-2.4214036
Sum7.5386022 × 108
Variance18725562
MonotonicityNot monotonic
2023-12-11T03:59:19.519285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864 47
 
1.2%
265833.573829 9
 
0.2%
265028.313376 9
 
0.2%
264420.293469 8
 
0.2%
263332.034503 8
 
0.2%
263989.847737 8
 
0.2%
261501.525986 6
 
0.2%
265092.190927 6
 
0.2%
264492.860639 6
 
0.2%
265657.494196 6
 
0.2%
Other values (2169) 2748
69.2%
(Missing) 1112
28.0%
ValueCountFrequency (%)
186676.305414942 1
< 0.1%
239980.539373 1
< 0.1%
240473.571874 1
< 0.1%
240757.761547 1
< 0.1%
241006.164731 1
< 0.1%
244374.0 2
0.1%
244385.0 1
< 0.1%
244541.0 1
< 0.1%
244685.0 1
< 0.1%
244747.0 1
< 0.1%
ValueCountFrequency (%)
292580.459555189 1
 
< 0.1%
279782.45918713 1
 
< 0.1%
278029.090204 1
 
< 0.1%
277749.024029 4
0.1%
277673.246368 1
 
< 0.1%
276405.748917 1
 
< 0.1%
275858.200621 1
 
< 0.1%
274686.33002 1
 
< 0.1%
273974.140069 1
 
< 0.1%
273733.771246 1
 
< 0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct426
Distinct (%)39.4%
Missing2891
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean1.9898546 × 1010
Minimum0
Maximum8.740706 × 1012
Zeros303
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2023-12-11T03:59:19.724305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q32.6197503 × 108
95-th percentile7.078329 × 109
Maximum8.740706 × 1012
Range8.740706 × 1012
Interquartile range (IQR)2.6197503 × 108

Descriptive statistics

Standard deviation2.8322583 × 1011
Coefficient of variation (CV)14.233494
Kurtosis836.67585
Mean1.9898546 × 1010
Median Absolute Deviation (MAD)50000000
Skewness27.622496
Sum2.1530227 × 1013
Variance8.0216871 × 1022
MonotonicityNot monotonic
2023-12-11T03:59:19.975993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 303
 
7.6%
50000000 119
 
3.0%
100000000 62
 
1.6%
10000000 35
 
0.9%
30000000 23
 
0.6%
20000000 15
 
0.4%
200000000 15
 
0.4%
150000000 12
 
0.3%
300000000 11
 
0.3%
1000000 9
 
0.2%
Other values (416) 478
 
12.0%
(Missing) 2891
72.8%
ValueCountFrequency (%)
0 303
7.6%
1000 2
 
0.1%
1500 1
 
< 0.1%
50000 1
 
< 0.1%
510000 1
 
< 0.1%
553000 1
 
< 0.1%
1000000 9
 
0.2%
1760008 1
 
< 0.1%
2000000 2
 
0.1%
2443637 1
 
< 0.1%
ValueCountFrequency (%)
8740706000000 1
< 0.1%
2177355000000 1
< 0.1%
879125755425 1
< 0.1%
831000000000 2
0.1%
787576157000 1
< 0.1%
724994000000 1
< 0.1%
706808180000 1
< 0.1%
698727032000 1
< 0.1%
697285555116 1
< 0.1%
552004233250 1
< 0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct382
Distinct (%)35.5%
Missing2898
Missing (%)72.9%
Infinite0
Infinite (%)0.0%
Mean1.4522899 × 1010
Minimum-10000000
Maximum5.574533 × 1012
Zeros642
Zeros (%)16.2%
Negative1
Negative (%)< 0.1%
Memory size35.0 KiB
2023-12-11T03:59:20.230346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median0
Q398412937
95-th percentile3.926172 × 109
Maximum5.574533 × 1012
Range5.574543 × 1012
Interquartile range (IQR)98412937

Descriptive statistics

Standard deviation1.9047214 × 1011
Coefficient of variation (CV)13.115298
Kurtosis689.21156
Mean1.4522899 × 1010
Median Absolute Deviation (MAD)0
Skewness24.60117
Sum1.5612117 × 1013
Variance3.6279638 × 1022
MonotonicityNot monotonic
2023-12-11T03:59:20.443979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 642
 
16.2%
10000000 9
 
0.2%
50000000 8
 
0.2%
20000000 7
 
0.2%
100000000 5
 
0.1%
30000000 5
 
0.1%
120000000 4
 
0.1%
15000000 4
 
0.1%
5000000 4
 
0.1%
3000000 4
 
0.1%
Other values (372) 383
 
9.6%
(Missing) 2898
72.9%
ValueCountFrequency (%)
-10000000 1
 
< 0.1%
0 642
16.2%
300 1
 
< 0.1%
13676 1
 
< 0.1%
21200 1
 
< 0.1%
56209 1
 
< 0.1%
233810 1
 
< 0.1%
440000 1
 
< 0.1%
480000 1
 
< 0.1%
551000 1
 
< 0.1%
ValueCountFrequency (%)
5574533000000 1
< 0.1%
2006281000000 1
< 0.1%
828408302940 1
< 0.1%
774400000000 1
< 0.1%
727755436000 1
< 0.1%
681816000000 1
< 0.1%
658676046699 1
< 0.1%
653977093000 1
< 0.1%
518446833899 1
< 0.1%
387657073000 1
< 0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct223
Distinct (%)20.6%
Missing2893
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean2.0648115 × 109
Minimum-1.8149666 × 108
Maximum6.48654 × 1011
Zeros277
Zeros (%)7.0%
Negative4
Negative (%)0.1%
Memory size35.0 KiB
2023-12-11T03:59:20.662137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8149666 × 108
5-th percentile0
Q10
median50000000
Q31.5 × 108
95-th percentile1.6259553 × 109
Maximum6.48654 × 1011
Range6.488355 × 1011
Interquartile range (IQR)1.5 × 108

Descriptive statistics

Standard deviation2.2310748 × 1010
Coefficient of variation (CV)10.805223
Kurtosis663.68561
Mean2.0648115 × 109
Median Absolute Deviation (MAD)50000000
Skewness23.88853
Sum2.2299964 × 1012
Variance4.9776949 × 1020
MonotonicityNot monotonic
2023-12-11T03:59:20.871435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 277
 
7.0%
50000000 218
 
5.5%
100000000 89
 
2.2%
10000000 51
 
1.3%
300000000 28
 
0.7%
30000000 28
 
0.7%
200000000 27
 
0.7%
20000000 23
 
0.6%
150000000 18
 
0.5%
500000000 16
 
0.4%
Other values (213) 305
 
7.7%
(Missing) 2893
72.8%
ValueCountFrequency (%)
-181496664 1
 
< 0.1%
-148107720 1
 
< 0.1%
-75042217 1
 
< 0.1%
-16037743 1
 
< 0.1%
0 277
7.0%
1000 2
 
0.1%
1500 1
 
< 0.1%
2000 1
 
< 0.1%
50000 1
 
< 0.1%
100000 1
 
< 0.1%
ValueCountFrequency (%)
648654000000 1
< 0.1%
191000576787 1
< 0.1%
171074000000 1
< 0.1%
131372235988 1
< 0.1%
77300000000 1
< 0.1%
63100000000 1
< 0.1%
59820721000 1
< 0.1%
59752513670 1
< 0.1%
50717452485 1
< 0.1%
44749939000 1
< 0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3973
Missing (%)100.0%
Memory size35.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01방문판매업08_26_02_P3410000200334100712320026920030214<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 422 7778<NA><NA>대구광역시 중구 남산동 ***-*<NA><NA>I.L.C20151116205643I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
12방문판매업08_26_02_P3410000199734100712320005719970826<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 256 1012<NA><NA>대구광역시 중구 향촌 ** 대보백화점 ***<NA><NA>푸른건강식품20191113145800U2019-11-15 02:40:00.0<NA><NA><NA><NA><NA><NA><NA>
23방문판매업08_26_02_P3410000200234100712320021420020607<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 422 4690<NA><NA>대구광역시 중구 동산동 ***<NA><NA>㈜하와20151116211501I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
34방문판매업08_26_02_P3410000200234100712320019620020311<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 253 1172<NA><NA>대구광역시 중구 남산동 *** 계산타워 **층<NA><NA>창업대리점20151116211934I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
45방문판매업08_26_02_P3410000199734100712320004419970317<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 565 6484<NA><NA>대구광역시 중구 달성동 ***-**<NA><NA>라인정밀(주)20151116213040I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
56방문판매업08_26_02_P3410000200234100712320020820020508<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 424 1392<NA><NA>대구광역시 중구 대봉동 ***번지 *호 한국타일도기전시장대구광역시 중구 명덕로 ***, 한국타일도기전시장 (대봉동)41962㈜영천양잠농업협동조합 대구지점20191113145721U2019-11-15 02:40:00.0<NA>344120.602064263000.715598<NA><NA><NA><NA>
67방문판매업08_26_02_P3410000200934100712320001320090601<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 425 9900<NA>700424대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 국채보상로***길 * (동인동*가)<NA>선경문화산업(주)20130716174724I2018-08-31 23:59:59.0<NA>345612.828315264297.68917423237286234139001698300000000<NA>
78방문판매업08_26_02_P3410000200934100712320001020090427<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 351 3990<NA>700180대구광역시 중구 동문동 **번지 *호대구광역시 중구 경상감영길 *** (동문동)<NA>주식회사 발효사이언스20120817103615I2018-08-31 23:59:59.0<NA>344053.756037264737.8738022015000000201500000<NA>
89방문판매업08_26_02_P3410000202034101512320000620200617<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대신동 ***번지 ***호대구광역시 중구 큰장로**길 **, *층 제*호 (대신동)41926이브링20201123134551U2020-11-25 02:40:00.0<NA>342762.287637264432.068926<NA><NA><NA><NA>
910방문판매업08_26_02_P3410000199634100712320002419961211<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 425 0381<NA><NA>대구광역시 중구 태평로*가 *-***<NA><NA>토이코리아20161230134143I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
39633964방문판매업08_26_02_P3480000201734803262320000320170306<NA>3폐업3폐업처리20171016<NA><NA><NA>939-8230<NA><NA>대구광역시 달성군 화원읍 구라리 ****번지 **호대구광역시 달성군 화원읍 비슬로 ****, *, *층42952주식회사 엘레자코지 화원지점20171016111027I2018-08-31 23:59:59.0<NA>336425.150882257568.819678601259839277345085323914754<NA>
39643965방문판매업08_26_02_P3480000201734803582320000220170616<NA>3폐업3폐업처리20180518<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 테크노북로*길 **, ***동 ****호 (대구테크노폴리스엘에이치천년나무*단지)42995네이처팜20181231162949U2019-01-02 02:40:00.0<NA>331126.0244385.0<NA><NA><NA><NA>
39653966방문판매업08_26_02_P3480000201734803582320000320170626<NA>3폐업3폐업처리20170926<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 테크노북로*길 **, ***동 ****호 (대구테크노폴리스남해오네뜨*차)42995BM쇼핑몰20170926171709I2018-08-31 23:59:59.0<NA>331742.0245059.0<NA><NA><NA><NA>
39663967방문판매업08_26_02_P3480000201734803582320000420170627<NA>3폐업3폐업처리20181205<NA><NA><NA>053-585-5421<NA><NA><NA>대구광역시 달성군 다사읍 대실역북로*길 ***-*42911남양우유성서가정대리점20181207092221U2018-12-09 02:40:00.0<NA>332510.151801263620.689736<NA><NA><NA><NA>
39673968방문판매업08_26_02_P3480000201734803582320000720170802<NA>3폐업3폐업처리20200624<NA><NA><NA>053-637-0445<NA><NA><NA>대구광역시 달성군 화원읍 비슬로***길 **42962연세우유 화원대리점20200624112119U2020-06-26 02:40:00.0<NA>335478.327171256756.884168<NA><NA><NA><NA>
39683969방문판매업08_26_02_P3480000201734803582320000820170905<NA>3폐업3폐업처리20180430<NA><NA><NA>053-585-5709<NA><NA><NA>대구광역시 달성군 다사읍 죽곡*길 *-*, *층 ***호 (그린주차빌딩)42918동인비 신다사점20181214141716U2018-12-16 02:40:00.0<NA>332227.145212262912.161541<NA><NA><NA><NA>
39693970방문판매업08_26_02_P3480000201734803582320000920170906<NA>3폐업3폐업처리20180918<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포면 비슬로***길 **, ***동 ****호 (미진이지비아)42971다원유통20180919160032U2018-09-19 23:59:59.0<NA>332459.0255934.0<NA><NA><NA><NA>
39703971방문판매업08_26_02_P3480000201834803652320000220180413<NA>3폐업3폐업처리20181212<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 ***번지 *호대구광역시 달성군 현풍면 비슬로***길 ***, 금송빌딩 *층42999브이에스(VS) 신비20181212133945U2018-12-14 02:40:00.0<NA>330587.050964245051.557951<NA><NA><NA><NA>
39713972방문판매업08_26_02_P3480000201834803652320000320180413<NA>3폐업3폐업처리20200706<NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 무등리 ****번지 *호<NA><NA>꽃따라 벌 천지20200708092845U2020-07-10 02:40:00.0<NA>331321.067893267653.786814<NA><NA><NA><NA>
39723973방문판매업08_26_02_P3480000201834803652320000620180531<NA>3폐업3폐업처리20210929<NA><NA><NA>0535876691<NA><NA>대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로**길 *42927주식회사 나물천지농산20210930132013U2021-10-02 02:40:00.0<NA>335196.178281264281.8997361000000003000000050000000<NA>