Overview

Dataset statistics

Number of variables31
Number of observations138
Missing cells942
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.1 KiB
Average record size in memory268.0 B

Variable types

Numeric11
Categorical10
Unsupported4
Text6

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123182

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
휴업시작일자 is highly imbalanced (93.8%)Imbalance
휴업종료일자 is highly imbalanced (93.8%)Imbalance
데이터갱신구분 is highly imbalanced (77.5%)Imbalance
데이터갱신일자 is highly imbalanced (83.0%)Imbalance
인허가취소일자 has 127 (92.0%) missing valuesMissing
폐업일자 has 66 (47.8%) missing valuesMissing
재개업일자 has 138 (100.0%) missing valuesMissing
소재지전화 has 46 (33.3%) missing valuesMissing
소재지면적 has 138 (100.0%) missing valuesMissing
소재지우편번호 has 27 (19.6%) missing valuesMissing
소재지전체주소 has 12 (8.7%) missing valuesMissing
도로명전체주소 has 19 (13.8%) missing valuesMissing
도로명우편번호 has 85 (61.6%) missing valuesMissing
업태구분명 has 138 (100.0%) missing valuesMissing
좌표정보(x) has 4 (2.9%) missing valuesMissing
좌표정보(y) has 4 (2.9%) missing valuesMissing
Unnamed: 30 has 138 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 21:15:07.803336
Analysis finished2024-04-17 21:15:08.354427
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.5
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:08.406206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.85
Q135.25
median69.5
Q3103.75
95-th percentile131.15
Maximum138
Range137
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation39.981246
Coefficient of variation (CV)0.57526972
Kurtosis-1.2
Mean69.5
Median Absolute Deviation (MAD)34.5
Skewness0
Sum9591
Variance1598.5
MonotonicityStrictly increasing
2024-04-18T06:15:08.511378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
105 1
 
0.7%
Other values (128) 128
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
담배도매업
138 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담배도매업 138
100.0%

Length

2024-04-18T06:15:08.617260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:08.686076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배도매업 138
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
11_43_01_P
138 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_43_01_P
2nd row11_43_01_P
3rd row11_43_01_P
4th row11_43_01_P
5th row11_43_01_P

Common Values

ValueCountFrequency (%)
11_43_01_P 138
100.0%

Length

2024-04-18T06:15:08.761221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:08.832957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_43_01_p 138
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3323623.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:08.902353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33360000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation41661.515
Coefficient of variation (CV)0.012534969
Kurtosis-1.0289105
Mean3323623.2
Median Absolute Deviation (MAD)30000
Skewness0.048835111
Sum4.5866 × 108
Variance1.7356818 × 109
MonotonicityIncreasing
2024-04-18T06:15:08.987521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 23
16.7%
3330000 14
10.1%
3310000 13
9.4%
3350000 12
8.7%
3390000 11
8.0%
3380000 10
7.2%
3370000 10
7.2%
3250000 9
 
6.5%
3300000 8
 
5.8%
3320000 7
 
5.1%
Other values (6) 21
15.2%
ValueCountFrequency (%)
3250000 9
 
6.5%
3260000 3
 
2.2%
3270000 4
 
2.9%
3280000 5
 
3.6%
3290000 23
16.7%
3300000 8
 
5.8%
3310000 13
9.4%
3320000 7
 
5.1%
3330000 14
10.1%
3340000 4
 
2.9%
ValueCountFrequency (%)
3400000 1
 
0.7%
3390000 11
8.0%
3380000 10
7.2%
3370000 10
7.2%
3360000 4
 
2.9%
3350000 12
8.7%
3340000 4
 
2.9%
3330000 14
10.1%
3320000 7
5.1%
3310000 13
9.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0101367 × 1018
Minimum1.990335 × 1018
Maximum2.021339 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:09.091252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.990335 × 1018
5-th percentile2.0040353 × 1018
Q12.0083283 × 1018
median2.0103315 × 1018
Q32.0123293 × 1018
95-th percentile2.0164807 × 1018
Maximum2.021339 × 1018
Range3.1004003 × 1016
Interquartile range (IQR)4.0010007 × 1015

Descriptive statistics

Standard deviation4.520373 × 1015
Coefficient of variation (CV)0.0022487888
Kurtosis4.2876554
Mean2.0101367 × 1018
Median Absolute Deviation (MAD)2.0024997 × 1015
Skewness-0.89044833
Sum6.9770597 × 1017
Variance2.0433772 × 1031
MonotonicityNot monotonic
2024-04-18T06:15:09.199353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2009325008315500001 1
 
0.7%
2009335008015500001 1
 
0.7%
2008334006615500002 1
 
0.7%
2020335011215500000 1
 
0.7%
1990335008015500001 1
 
0.7%
2010335008515500002 1
 
0.7%
2015335010015500001 1
 
0.7%
2005335008015500001 1
 
0.7%
2010335008515500001 1
 
0.7%
2011336009415500001 1
 
0.7%
Other values (128) 128
92.8%
ValueCountFrequency (%)
1990335008015500001 1
0.7%
1991335008015500001 1
0.7%
1998335008015500001 1
0.7%
2001332005912500001 1
0.7%
2001335008015500001 1
0.7%
2002337006915500001 1
0.7%
2002337006915500002 1
0.7%
2004335008015500001 1
0.7%
2004337006915500001 1
0.7%
2005328001512500001 1
0.7%
ValueCountFrequency (%)
2021339010915500002 1
0.7%
2021339010915500001 1
0.7%
2020338008215500001 1
0.7%
2020335011215500000 1
0.7%
2019333015115500001 1
0.7%
2017333013215500001 1
0.7%
2017329012815500001 1
0.7%
2016331008815500001 1
0.7%
2016329012815500001 1
0.7%
2015339009115500001 1
0.7%

인허가일자
Real number (ℝ)

Distinct130
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20098422
Minimum19900419
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:09.314825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900419
5-th percentile20037671
Q120080113
median20101104
Q320120722
95-th percentile20162070
Maximum20210330
Range309911
Interquartile range (IQR)40608.75

Descriptive statistics

Standard deviation45862.525
Coefficient of variation (CV)0.0022818967
Kurtosis4.3845743
Mean20098422
Median Absolute Deviation (MAD)20793
Skewness-0.97169534
Sum2.7735823 × 109
Variance2.1033712 × 109
MonotonicityNot monotonic
2024-04-18T06:15:09.426860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101021 3
 
2.2%
20150305 2
 
1.4%
20101110 2
 
1.4%
20110413 2
 
1.4%
20080425 2
 
1.4%
20080321 2
 
1.4%
20210330 2
 
1.4%
20101126 1
 
0.7%
20080422 1
 
0.7%
20200609 1
 
0.7%
Other values (120) 120
87.0%
ValueCountFrequency (%)
19900419 1
0.7%
19910119 1
0.7%
19950325 1
0.7%
20010424 1
0.7%
20010621 1
0.7%
20020409 1
0.7%
20020418 1
0.7%
20040716 1
0.7%
20040727 1
0.7%
20050224 1
0.7%
ValueCountFrequency (%)
20210330 2
1.4%
20201112 1
0.7%
20200609 1
0.7%
20190410 1
0.7%
20170814 1
0.7%
20170308 1
0.7%
20160616 1
0.7%
20160418 1
0.7%
20150714 1
0.7%
20150305 2
1.4%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)54.5%
Missing127
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean20137880
Minimum20091120
Maximum20180725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:09.530281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091120
5-th percentile20110764
Q120130408
median20130408
Q320150227
95-th percentile20165919
Maximum20180725
Range89605
Interquartile range (IQR)19819

Descriptive statistics

Standard deviation21891.848
Coefficient of variation (CV)0.001087098
Kurtosis2.4131864
Mean20137880
Median Absolute Deviation (MAD)10815
Skewness-0.22775051
Sum2.2151668 × 108
Variance4.7925303 × 108
MonotonicityNot monotonic
2024-04-18T06:15:09.615620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20130408 5
 
3.6%
20150227 2
 
1.4%
20141223 1
 
0.7%
20091120 1
 
0.7%
20151113 1
 
0.7%
20180725 1
 
0.7%
(Missing) 127
92.0%
ValueCountFrequency (%)
20091120 1
 
0.7%
20130408 5
3.6%
20141223 1
 
0.7%
20150227 2
 
1.4%
20151113 1
 
0.7%
20180725 1
 
0.7%
ValueCountFrequency (%)
20180725 1
 
0.7%
20151113 1
 
0.7%
20150227 2
 
1.4%
20141223 1
 
0.7%
20130408 5
3.6%
20091120 1
 
0.7%

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
72 
1
54 
4
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 72
52.2%
1 54
39.1%
4 12
 
8.7%

Length

2024-04-18T06:15:09.707664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:09.784964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 72
52.2%
1 54
39.1%
4 12
 
8.7%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
72 
영업/정상
54 
취소/말소/만료/정지/중지
12 

Length

Max length14
Median length2
Mean length4.2173913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 72
52.2%
영업/정상 54
39.1%
취소/말소/만료/정지/중지 12
 
8.7%

Length

2024-04-18T06:15:09.874169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:09.956894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 72
52.2%
영업/정상 54
39.1%
취소/말소/만료/정지/중지 12
 
8.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
72 
1
54 
4
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 72
52.2%
1 54
39.1%
4 12
 
8.7%

Length

2024-04-18T06:15:10.041599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:10.119038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 72
52.2%
1 54
39.1%
4 12
 
8.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업처리
72 
정상영업
54 
직권취소
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 72
52.2%
정상영업 54
39.1%
직권취소 12
 
8.7%

Length

2024-04-18T06:15:10.208532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:10.289617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 72
52.2%
정상영업 54
39.1%
직권취소 12
 
8.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)93.1%
Missing66
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean20115789
Minimum20051114
Maximum20191106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:10.381951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051114
5-th percentile20066117
Q120090583
median20111227
Q320140543
95-th percentile20170594
Maximum20191106
Range139992
Interquartile range (IQR)49960.25

Descriptive statistics

Standard deviation32858.215
Coefficient of variation (CV)0.0016334539
Kurtosis-0.490044
Mean20115789
Median Absolute Deviation (MAD)20816.5
Skewness0.054744498
Sum1.4483368 × 109
Variance1.0796623 × 109
MonotonicityNot monotonic
2024-04-18T06:15:10.494603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051114 3
 
2.2%
20110117 2
 
1.4%
20090603 2
 
1.4%
20110328 2
 
1.4%
20191106 1
 
0.7%
20061113 1
 
0.7%
20081230 1
 
0.7%
20141229 1
 
0.7%
20101208 1
 
0.7%
20110620 1
 
0.7%
Other values (57) 57
41.3%
(Missing) 66
47.8%
ValueCountFrequency (%)
20051114 3
2.2%
20061113 1
 
0.7%
20070212 1
 
0.7%
20070321 1
 
0.7%
20070327 1
 
0.7%
20070523 1
 
0.7%
20071220 1
 
0.7%
20080122 1
 
0.7%
20080324 1
 
0.7%
20080610 1
 
0.7%
ValueCountFrequency (%)
20191106 1
0.7%
20180725 1
0.7%
20170927 1
0.7%
20170807 1
0.7%
20170419 1
0.7%
20170123 1
0.7%
20160819 1
0.7%
20160719 1
0.7%
20160304 1
0.7%
20151222 1
0.7%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
137 
20170101
 
1

Length

Max length8
Median length4
Mean length4.0289855
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
99.3%
20170101 1
 
0.7%

Length

2024-04-18T06:15:10.607417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:10.690659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
99.3%
20170101 1
 
0.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
137 
20170630
 
1

Length

Max length8
Median length4
Mean length4.0289855
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
99.3%
20170630 1
 
0.7%

Length

2024-04-18T06:15:10.782537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:10.865826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
99.3%
20170630 1
 
0.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Text

MISSING 

Distinct88
Distinct (%)95.7%
Missing46
Missing (%)33.3%
Memory size1.2 KiB
2024-04-18T06:15:11.068560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.369565
Min length1

Characters and Unicode

Total characters954
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)91.3%

Sample

1st row0512482161
2nd row051-241-5283
3rd row0514610999
4th row0512482161
5th row241-0993
ValueCountFrequency (%)
051 6
 
5.8%
1899-8748 2
 
1.9%
1599-1345 2
 
1.9%
0512482161 2
 
1.9%
051-323-0760 2
 
1.9%
051-912-2282 1
 
1.0%
516-8081 1
 
1.0%
051-517-2800 1
 
1.0%
051-512-3177 1
 
1.0%
581-7895 1
 
1.0%
Other values (84) 84
81.6%
2024-04-18T06:15:11.388829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 136
14.3%
0 134
14.0%
- 126
13.2%
1 124
13.0%
7 70
7.3%
2 70
7.3%
8 66
6.9%
4 62
6.5%
3 54
 
5.7%
6 54
 
5.7%
Other values (2) 58
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 817
85.6%
Dash Punctuation 126
 
13.2%
Space Separator 11
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 136
16.6%
0 134
16.4%
1 124
15.2%
7 70
8.6%
2 70
8.6%
8 66
8.1%
4 62
7.6%
3 54
 
6.6%
6 54
 
6.6%
9 47
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 136
14.3%
0 134
14.0%
- 126
13.2%
1 124
13.0%
7 70
7.3%
2 70
7.3%
8 66
6.9%
4 62
6.5%
3 54
 
5.7%
6 54
 
5.7%
Other values (2) 58
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 136
14.3%
0 134
14.0%
- 126
13.2%
1 124
13.0%
7 70
7.3%
2 70
7.3%
8 66
6.9%
4 62
6.5%
3 54
 
5.7%
6 54
 
5.7%
Other values (2) 58
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)85.6%
Missing27
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean610362.88
Minimum600011
Maximum619912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:11.507836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600062
Q1607815.5
median611073
Q3614036
95-th percentile617842.5
Maximum619912
Range19901
Interquartile range (IQR)6220.5

Descriptive statistics

Standard deviation5305.5948
Coefficient of variation (CV)0.0086925253
Kurtosis-0.60559088
Mean610362.88
Median Absolute Deviation (MAD)3231
Skewness-0.40441379
Sum67750280
Variance28149336
MonotonicityNot monotonic
2024-04-18T06:15:11.628914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
613828 3
 
2.2%
609340 3
 
2.2%
614032 3
 
2.2%
614876 2
 
1.4%
617806 2
 
1.4%
611085 2
 
1.4%
611071 2
 
1.4%
607818 2
 
1.4%
607842 2
 
1.4%
607060 2
 
1.4%
Other values (85) 88
63.8%
(Missing) 27
 
19.6%
ValueCountFrequency (%)
600011 1
0.7%
600012 1
0.7%
600016 2
1.4%
600041 2
1.4%
600083 1
0.7%
600110 1
0.7%
600811 1
0.7%
601030 1
0.7%
601806 1
0.7%
601830 1
0.7%
ValueCountFrequency (%)
619912 1
0.7%
618809 1
0.7%
618800 1
0.7%
618200 1
0.7%
618141 1
0.7%
617845 1
0.7%
617840 1
0.7%
617831 1
0.7%
617818 1
0.7%
617809 1
0.7%

소재지전체주소
Text

MISSING 

Distinct119
Distinct (%)94.4%
Missing12
Missing (%)8.7%
Memory size1.2 KiB
2024-04-18T06:15:11.912125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length26.952381
Min length14

Characters and Unicode

Total characters3396
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)89.7%

Sample

1st row부산광역시 중구 중앙동6가 62번지 13호
2nd row부산광역시 중구 영주동 23번지 3호
3rd row부산광역시 중구 중앙동6가 9번지 1호 광복지하상가 B41호
4th row부산광역시 중구 보수동3가 24번지 6호
5th row부산광역시 중구 중앙동2가 44번지 1호 한국산업은행빌딩 1층
ValueCountFrequency (%)
부산광역시 126
 
17.7%
부산진구 18
 
2.5%
1호 17
 
2.4%
해운대구 12
 
1.7%
남구 11
 
1.5%
금정구 11
 
1.5%
사상구 11
 
1.5%
연제구 10
 
1.4%
수영구 10
 
1.4%
2호 9
 
1.3%
Other values (318) 475
66.9%
2024-04-18T06:15:12.306613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
592
 
17.4%
1 180
 
5.3%
산 160
 
4.7%
부 157
 
4.6%
동 144
 
4.2%
호 142
 
4.2%
광 133
 
3.9%
시 129
 
3.8%
구 129
 
3.8%
지 129
 
3.8%
Other values (182) 1501
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2034
59.9%
Decimal Number 741
 
21.8%
Space Separator 592
 
17.4%
Dash Punctuation 9
 
0.3%
Uppercase Letter 9
 
0.3%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 160
 
7.9%
부 157
 
7.7%
동 144
 
7.1%
호 142
 
7.0%
광 133
 
6.5%
시 129
 
6.3%
구 129
 
6.3%
지 129
 
6.3%
역 126
 
6.2%
번 120
 
5.9%
Other values (160) 665
32.7%
Decimal Number
ValueCountFrequency (%)
1 180
24.3%
2 117
15.8%
3 96
13.0%
4 70
 
9.4%
6 63
 
8.5%
0 55
 
7.4%
5 54
 
7.3%
8 46
 
6.2%
7 30
 
4.0%
9 30
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
22.2%
T 2
22.2%
E 2
22.2%
M 1
11.1%
C 1
11.1%
B 1
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
592
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2034
59.9%
Common 1353
39.8%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 160
 
7.9%
부 157
 
7.7%
동 144
 
7.1%
호 142
 
7.0%
광 133
 
6.5%
시 129
 
6.3%
구 129
 
6.3%
지 129
 
6.3%
역 126
 
6.2%
번 120
 
5.9%
Other values (160) 665
32.7%
Common
ValueCountFrequency (%)
592
43.8%
1 180
 
13.3%
2 117
 
8.6%
3 96
 
7.1%
4 70
 
5.2%
6 63
 
4.7%
0 55
 
4.1%
5 54
 
4.0%
8 46
 
3.4%
7 30
 
2.2%
Other values (6) 50
 
3.7%
Latin
ValueCountFrequency (%)
O 2
22.2%
T 2
22.2%
E 2
22.2%
M 1
11.1%
C 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2034
59.9%
ASCII 1362
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
592
43.5%
1 180
 
13.2%
2 117
 
8.6%
3 96
 
7.0%
4 70
 
5.1%
6 63
 
4.6%
0 55
 
4.0%
5 54
 
4.0%
8 46
 
3.4%
7 30
 
2.2%
Other values (12) 59
 
4.3%
Hangul
ValueCountFrequency (%)
산 160
 
7.9%
부 157
 
7.7%
동 144
 
7.1%
호 142
 
7.0%
광 133
 
6.5%
시 129
 
6.3%
구 129
 
6.3%
지 129
 
6.3%
역 126
 
6.2%
번 120
 
5.9%
Other values (160) 665
32.7%

도로명전체주소
Text

MISSING 

Distinct114
Distinct (%)95.8%
Missing19
Missing (%)13.8%
Memory size1.2 KiB
2024-04-18T06:15:12.574324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length29.260504
Min length17

Characters and Unicode

Total characters3482
Distinct characters219
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)92.4%

Sample

1st row부산광역시 중구 중앙대로 21 (중앙동6가)
2nd row부산광역시 중구 대영로 235, 8층 823호 (영주동, 제일빌딩)
3rd row부산광역시 중구 중앙대로 17, B41호 (중앙동6가, 광복지하상가)
4th row부산광역시 중구 보수대로 96 (보수동3가)
5th row부산광역시 중구 대청로 136 (중앙동2가,한국산업은행빌딩 1층)
ValueCountFrequency (%)
부산광역시 119
 
17.9%
해운대구 13
 
2.0%
남구 13
 
2.0%
금정구 11
 
1.7%
사상구 10
 
1.5%
수영구 10
 
1.5%
부산진구 9
 
1.4%
연제구 9
 
1.4%
중구 9
 
1.4%
동래구 8
 
1.2%
Other values (324) 455
68.3%
2024-04-18T06:15:12.950516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
 
15.7%
산 144
 
4.1%
동 143
 
4.1%
1 143
 
4.1%
부 136
 
3.9%
광 133
 
3.8%
구 126
 
3.6%
시 125
 
3.6%
로 122
 
3.5%
) 120
 
3.4%
Other values (209) 1742
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2062
59.2%
Space Separator 548
 
15.7%
Decimal Number 539
 
15.5%
Close Punctuation 120
 
3.4%
Open Punctuation 120
 
3.4%
Other Punctuation 66
 
1.9%
Dash Punctuation 16
 
0.5%
Uppercase Letter 9
 
0.3%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 144
 
7.0%
동 143
 
6.9%
부 136
 
6.6%
광 133
 
6.5%
구 126
 
6.1%
시 125
 
6.1%
로 122
 
5.9%
역 119
 
5.8%
대 62
 
3.0%
길 36
 
1.7%
Other values (185) 916
44.4%
Decimal Number
ValueCountFrequency (%)
1 143
26.5%
2 81
15.0%
3 65
12.1%
0 52
 
9.6%
4 44
 
8.2%
8 36
 
6.7%
7 34
 
6.3%
6 32
 
5.9%
5 26
 
4.8%
9 26
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
O 2
22.2%
B 2
22.2%
M 1
11.1%
E 1
11.1%
A 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 64
97.0%
/ 2
 
3.0%
Space Separator
ValueCountFrequency (%)
548
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2062
59.2%
Common 1410
40.5%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 144
 
7.0%
동 143
 
6.9%
부 136
 
6.6%
광 133
 
6.5%
구 126
 
6.1%
시 125
 
6.1%
로 122
 
5.9%
역 119
 
5.8%
대 62
 
3.0%
길 36
 
1.7%
Other values (185) 916
44.4%
Common
ValueCountFrequency (%)
548
38.9%
1 143
 
10.1%
) 120
 
8.5%
( 120
 
8.5%
2 81
 
5.7%
3 65
 
4.6%
, 64
 
4.5%
0 52
 
3.7%
4 44
 
3.1%
8 36
 
2.6%
Other values (7) 137
 
9.7%
Latin
ValueCountFrequency (%)
T 2
20.0%
O 2
20.0%
B 2
20.0%
M 1
10.0%
E 1
10.0%
c 1
10.0%
A 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2062
59.2%
ASCII 1420
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
38.6%
1 143
 
10.1%
) 120
 
8.5%
( 120
 
8.5%
2 81
 
5.7%
3 65
 
4.6%
, 64
 
4.5%
0 52
 
3.7%
4 44
 
3.1%
8 36
 
2.5%
Other values (14) 147
 
10.4%
Hangul
ValueCountFrequency (%)
산 144
 
7.0%
동 143
 
6.9%
부 136
 
6.6%
광 133
 
6.5%
구 126
 
6.1%
시 125
 
6.1%
로 122
 
5.9%
역 119
 
5.8%
대 62
 
3.0%
길 36
 
1.7%
Other values (185) 916
44.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)88.7%
Missing85
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean482655.89
Minimum46205
Maximum619912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:13.059433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46205
5-th percentile46796.6
Q1600041
median608809
Q3613828
95-th percentile616896.2
Maximum619912
Range573707
Interquartile range (IQR)13787

Descriptive statistics

Standard deviation237804.07
Coefficient of variation (CV)0.49269899
Kurtosis-0.19947558
Mean482655.89
Median Absolute Deviation (MAD)6057
Skewness-1.344181
Sum25580762
Variance5.6550774 × 1010
MonotonicityNot monotonic
2024-04-18T06:15:13.159372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
48059 3
 
2.2%
613828 3
 
2.2%
600041 2
 
1.4%
46963 2
 
1.4%
609814 1
 
0.7%
612820 1
 
0.7%
612835 1
 
0.7%
604829 1
 
0.7%
604804 1
 
0.7%
46322 1
 
0.7%
Other values (37) 37
26.8%
(Missing) 85
61.6%
ValueCountFrequency (%)
46205 1
 
0.7%
46322 1
 
0.7%
46547 1
 
0.7%
46963 2
1.4%
47120 1
 
0.7%
47285 1
 
0.7%
48059 3
2.2%
48283 1
 
0.7%
48427 1
 
0.7%
600016 1
 
0.7%
ValueCountFrequency (%)
619912 1
0.7%
617840 1
0.7%
617012 1
0.7%
616819 1
0.7%
616787 1
0.7%
614876 1
0.7%
614866 1
0.7%
614850 1
0.7%
614845 1
0.7%
614826 1
0.7%

사업장명
Text

Distinct133
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T06:15:13.355667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.0507246
Min length2

Characters and Unicode

Total characters1111
Distinct characters212
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)92.8%

Sample

1st row오공디지텍
2nd row스누스맨부산지사
3rd row하카전자담배남포점
4th row우리담배 서구대리점
5th row(주)범주여행사
ValueCountFrequency (%)
우리담배 7
 
3.9%
주식회사 6
 
3.4%
전자담배 5
 
2.8%
한국전자담배 3
 
1.7%
스누스코리아 3
 
1.7%
우리담배부산동구대리점 2
 
1.1%
주)상생 2
 
1.1%
대리점 2
 
1.1%
부산서면전자담배 2
 
1.1%
스누스코리아중구 2
 
1.1%
Other values (142) 144
80.9%
2024-04-18T06:15:13.681026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 60
 
5.4%
주 41
 
3.7%
배 40
 
3.6%
40
 
3.6%
( 39
 
3.5%
담 39
 
3.5%
) 39
 
3.5%
점 35
 
3.2%
스 35
 
3.2%
코 30
 
2.7%
Other values (202) 713
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 952
85.7%
Space Separator 40
 
3.6%
Open Punctuation 39
 
3.5%
Close Punctuation 39
 
3.5%
Uppercase Letter 27
 
2.4%
Other Punctuation 8
 
0.7%
Lowercase Letter 5
 
0.5%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 60
 
6.3%
주 41
 
4.3%
배 40
 
4.2%
담 39
 
4.1%
점 35
 
3.7%
스 35
 
3.7%
코 30
 
3.2%
아 26
 
2.7%
자 25
 
2.6%
전 24
 
2.5%
Other values (176) 597
62.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
14.8%
E 3
11.1%
M 3
11.1%
A 2
 
7.4%
D 2
 
7.4%
T 2
 
7.4%
O 2
 
7.4%
R 1
 
3.7%
J 1
 
3.7%
F 1
 
3.7%
Other values (6) 6
22.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
d 1
20.0%
e 1
20.0%
a 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 952
85.7%
Common 127
 
11.4%
Latin 32
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 60
 
6.3%
주 41
 
4.3%
배 40
 
4.2%
담 39
 
4.1%
점 35
 
3.7%
스 35
 
3.7%
코 30
 
3.2%
아 26
 
2.7%
자 25
 
2.6%
전 24
 
2.5%
Other values (176) 597
62.7%
Latin
ValueCountFrequency (%)
C 4
 
12.5%
E 3
 
9.4%
M 3
 
9.4%
s 2
 
6.2%
A 2
 
6.2%
D 2
 
6.2%
T 2
 
6.2%
O 2
 
6.2%
R 1
 
3.1%
J 1
 
3.1%
Other values (10) 10
31.2%
Common
ValueCountFrequency (%)
40
31.5%
( 39
30.7%
) 39
30.7%
. 6
 
4.7%
& 2
 
1.6%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 952
85.7%
ASCII 159
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 60
 
6.3%
주 41
 
4.3%
배 40
 
4.2%
담 39
 
4.1%
점 35
 
3.7%
스 35
 
3.7%
코 30
 
3.2%
아 26
 
2.7%
자 25
 
2.6%
전 24
 
2.5%
Other values (176) 597
62.7%
ASCII
ValueCountFrequency (%)
40
25.2%
( 39
24.5%
) 39
24.5%
. 6
 
3.8%
C 4
 
2.5%
E 3
 
1.9%
M 3
 
1.9%
s 2
 
1.3%
A 2
 
1.3%
D 2
 
1.3%
Other values (16) 19
11.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130251 × 1013
Minimum2.0051201 × 1013
Maximum2.021033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:13.794141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0051201 × 1013
5-th percentile2.0080455 × 1013
Q12.0110119 × 1013
median2.0130459 × 1013
Q32.0150309 × 1013
95-th percentile2.0192477 × 1013
Maximum2.021033 × 1013
Range1.5912901 × 1011
Interquartile range (IQR)4.018999 × 1010

Descriptive statistics

Standard deviation3.402957 × 1010
Coefficient of variation (CV)0.0016904693
Kurtosis-0.29429175
Mean2.0130251 × 1013
Median Absolute Deviation (MAD)2.01985 × 1010
Skewness0.20838558
Sum2.7779746 × 1015
Variance1.1580116 × 1021
MonotonicityNot monotonic
2024-04-18T06:15:13.904307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090522092456 1
 
0.7%
20101209175239 1
 
0.7%
20140108113401 1
 
0.7%
20200609123433 1
 
0.7%
20140731163129 1
 
0.7%
20121204114959 1
 
0.7%
20151217151738 1
 
0.7%
20090730165503 1
 
0.7%
20110627140813 1
 
0.7%
20150122193620 1
 
0.7%
Other values (128) 128
92.8%
ValueCountFrequency (%)
20051201164744 1
0.7%
20070212142844 1
0.7%
20070321151759 1
0.7%
20070327165721 1
0.7%
20070719174215 1
0.7%
20080107170251 1
0.7%
20080122155454 1
0.7%
20080514144219 1
0.7%
20080610172222 1
0.7%
20080623110328 1
0.7%
ValueCountFrequency (%)
20210330174023 1
0.7%
20210330173944 1
0.7%
20210104151639 1
0.7%
20201119083743 1
0.7%
20201112100941 1
0.7%
20200609123433 1
0.7%
20200205101746 1
0.7%
20191113162438 1
0.7%
20190312141528 1
0.7%
20180725183142 1
0.7%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
133 
U
 
5

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 133
96.4%
U 5
 
3.6%

Length

2024-04-18T06:15:14.009096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:14.085311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 133
96.4%
u 5
 
3.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
129 
2021-04-01 00:22:58.0
 
2
2019-11-15 02:40:00.0
 
1
2021-01-06 02:40:00.0
 
1
2020-11-21 02:40:00.0
 
1
Other values (4)
 
4

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)5.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 129
93.5%
2021-04-01 00:22:58.0 2
 
1.4%
2019-11-15 02:40:00.0 1
 
0.7%
2021-01-06 02:40:00.0 1
 
0.7%
2020-11-21 02:40:00.0 1
 
0.7%
2020-06-11 00:23:29.0 1
 
0.7%
2020-02-07 02:40:00.0 1
 
0.7%
2020-11-14 00:23:08.0 1
 
0.7%
2019-03-14 02:40:00.0 1
 
0.7%

Length

2024-04-18T06:15:14.164336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:15:14.259828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 129
46.7%
23:59:59.0 129
46.7%
02:40:00.0 5
 
1.8%
2021-04-01 2
 
0.7%
00:22:58.0 2
 
0.7%
2019-11-15 1
 
0.4%
2021-01-06 1
 
0.4%
2020-11-21 1
 
0.4%
2020-06-11 1
 
0.4%
00:23:29.0 1
 
0.4%
Other values (4) 4
 
1.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)91.8%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean388227.78
Minimum373486.77
Maximum403104.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:14.366039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373486.77
5-th percentile380283.05
Q1385529.61
median388486.06
Q3391140.41
95-th percentile395615.2
Maximum403104.73
Range29617.964
Interquartile range (IQR)5610.7954

Descriptive statistics

Standard deviation4842.8773
Coefficient of variation (CV)0.012474319
Kurtosis0.67209937
Mean388227.78
Median Absolute Deviation (MAD)2925.1498
Skewness-0.092575288
Sum52022523
Variance23453460
MonotonicityNot monotonic
2024-04-18T06:15:14.847653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395615.201853958 3
 
2.2%
393269.543893987 3
 
2.2%
391411.212179843 2
 
1.4%
393511.746976726 2
 
1.4%
388596.863365011 2
 
1.4%
397900.605249708 2
 
1.4%
380463.469887899 2
 
1.4%
385429.507453868 2
 
1.4%
387674.292977056 2
 
1.4%
390266.134874753 1
 
0.7%
Other values (113) 113
81.9%
(Missing) 4
 
2.9%
ValueCountFrequency (%)
373486.77102037 1
0.7%
376757.171159357 1
0.7%
377214.53981116 1
0.7%
378522.007200069 1
0.7%
379121.358658945 1
0.7%
379687.970097668 1
0.7%
380267.075260668 1
0.7%
380291.656000926 1
0.7%
380415.018055648 1
0.7%
380463.469887899 2
1.4%
ValueCountFrequency (%)
403104.73470169 1
 
0.7%
400417.070055581 1
 
0.7%
398159.477095246 1
 
0.7%
397900.605249708 2
1.4%
396945.829825183 1
 
0.7%
395615.201853958 3
2.2%
394085.659790124 1
 
0.7%
393963.840834294 1
 
0.7%
393605.930358633 1
 
0.7%
393561.58646018 1
 
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)91.8%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean186877.22
Minimum177147.05
Maximum202731.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:15:14.954306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177147.05
5-th percentile179195.15
Q1184019.27
median186441.98
Q3189493.7
95-th percentile195741.26
Maximum202731.32
Range25584.272
Interquartile range (IQR)5474.4295

Descriptive statistics

Standard deviation5043.1261
Coefficient of variation (CV)0.026986307
Kurtosis0.43143891
Mean186877.22
Median Absolute Deviation (MAD)2889.9599
Skewness0.45044616
Sum25041548
Variance25433121
MonotonicityNot monotonic
2024-04-18T06:15:15.064390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186406.750870936 3
 
2.2%
186441.977215265 3
 
2.2%
184052.409245407 2
 
1.4%
189374.445030633 2
 
1.4%
191754.777025517 2
 
1.4%
188205.674416891 2
 
1.4%
187201.309686978 2
 
1.4%
179502.582395712 2
 
1.4%
185628.880768977 2
 
1.4%
198892.910738466 1
 
0.7%
Other values (113) 113
81.9%
(Missing) 4
 
2.9%
ValueCountFrequency (%)
177147.052622728 1
0.7%
177916.759635804 1
0.7%
178270.436463632 1
0.7%
178479.504077247 1
0.7%
178605.054520068 1
0.7%
178767.069737547 1
0.7%
179110.036326034 1
0.7%
179240.97559351 1
0.7%
179251.435653057 1
0.7%
179264.304531305 1
0.7%
ValueCountFrequency (%)
202731.324349891 1
0.7%
200830.242233909 1
0.7%
198892.910738466 1
0.7%
198865.01254943 1
0.7%
198539.564168252 1
0.7%
197737.979994619 1
0.7%
196187.458362523 1
0.7%
195500.993147056 1
0.7%
194192.514655447 1
0.7%
194140.194498624 1
0.7%

취급제품명
Text

Distinct97
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T06:15:15.237265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length49
Mean length11.637681
Min length1

Characters and Unicode

Total characters1606
Distinct characters224
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)63.0%

Sample

1st row루엔(RUYAN, 전자담배)
2nd rowMegapole White 외 9개제품
3rd row액상코리아 액상 및 기기
4th row위고, 스윙
5th row전자담배
ValueCountFrequency (%)
전자담배 40
 
14.3%
위고 11
 
3.9%
스윙 11
 
3.9%
액상 8
 
2.9%
담배 5
 
1.8%
및 5
 
1.8%
스누스 4
 
1.4%
me 4
 
1.4%
too 4
 
1.4%
위고,스윙 4
 
1.4%
Other values (155) 183
65.6%
2024-04-18T06:15:15.573711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
8.8%
, 111
 
6.9%
담 78
 
4.9%
배 78
 
4.9%
전 63
 
3.9%
자 63
 
3.9%
스 47
 
2.9%
( 29
 
1.8%
) 29
 
1.8%
e 26
 
1.6%
Other values (214) 940
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 887
55.2%
Lowercase Letter 233
 
14.5%
Space Separator 142
 
8.8%
Other Punctuation 120
 
7.5%
Uppercase Letter 105
 
6.5%
Decimal Number 56
 
3.5%
Open Punctuation 30
 
1.9%
Close Punctuation 30
 
1.9%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 78
 
8.8%
배 78
 
8.8%
전 63
 
7.1%
자 63
 
7.1%
스 47
 
5.3%
위 21
 
2.4%
드 20
 
2.3%
니 20
 
2.3%
윙 18
 
2.0%
고 18
 
2.0%
Other values (147) 461
52.0%
Lowercase Letter
ValueCountFrequency (%)
e 26
11.2%
i 23
 
9.9%
g 22
 
9.4%
l 20
 
8.6%
t 16
 
6.9%
n 15
 
6.4%
m 14
 
6.0%
o 14
 
6.0%
h 13
 
5.6%
r 11
 
4.7%
Other values (14) 59
25.3%
Uppercase Letter
ValueCountFrequency (%)
O 16
15.2%
M 11
 
10.5%
L 10
 
9.5%
E 8
 
7.6%
T 6
 
5.7%
A 6
 
5.7%
C 6
 
5.7%
K 5
 
4.8%
N 4
 
3.8%
H 4
 
3.8%
Other values (14) 29
27.6%
Decimal Number
ValueCountFrequency (%)
0 15
26.8%
5 12
21.4%
1 9
16.1%
3 5
 
8.9%
2 4
 
7.1%
8 4
 
7.1%
9 3
 
5.4%
4 3
 
5.4%
6 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 111
92.5%
. 8
 
6.7%
: 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 29
96.7%
[ 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 29
96.7%
] 1
 
3.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 887
55.2%
Common 381
23.7%
Latin 338
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 78
 
8.8%
배 78
 
8.8%
전 63
 
7.1%
자 63
 
7.1%
스 47
 
5.3%
위 21
 
2.4%
드 20
 
2.3%
니 20
 
2.3%
윙 18
 
2.0%
고 18
 
2.0%
Other values (147) 461
52.0%
Latin
ValueCountFrequency (%)
e 26
 
7.7%
i 23
 
6.8%
g 22
 
6.5%
l 20
 
5.9%
t 16
 
4.7%
O 16
 
4.7%
n 15
 
4.4%
m 14
 
4.1%
o 14
 
4.1%
h 13
 
3.8%
Other values (38) 159
47.0%
Common
ValueCountFrequency (%)
142
37.3%
, 111
29.1%
( 29
 
7.6%
) 29
 
7.6%
0 15
 
3.9%
5 12
 
3.1%
1 9
 
2.4%
. 8
 
2.1%
3 5
 
1.3%
2 4
 
1.0%
Other values (9) 17
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 887
55.2%
ASCII 719
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
19.7%
, 111
 
15.4%
( 29
 
4.0%
) 29
 
4.0%
e 26
 
3.6%
i 23
 
3.2%
g 22
 
3.1%
l 20
 
2.8%
t 16
 
2.2%
O 16
 
2.2%
Other values (57) 285
39.6%
Hangul
ValueCountFrequency (%)
담 78
 
8.8%
배 78
 
8.8%
전 63
 
7.1%
자 63
 
7.1%
스 47
 
5.3%
위 21
 
2.4%
드 20
 
2.3%
니 20
 
2.3%
윙 18
 
2.0%
고 18
 
2.0%
Other values (147) 461
52.0%

담배공급업체명
Text

Distinct104
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T06:15:15.786459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length44
Mean length10.768116
Min length1

Characters and Unicode

Total characters1486
Distinct characters230
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

Unique91 ?
Unique (%)65.9%

Sample

1st row(주)한국전자담배
2nd row(주)스누스맨
3rd row액상코리아
4th row우리담배판매(주)
5th rowCDT
ValueCountFrequency (%)
우리담배판매(주 13
 
6.2%
주)한국전자담배 10
 
4.8%
주식회사 7
 
3.4%
주)스누스코리아 5
 
2.4%
에바코 4
 
1.9%
shenzhen 4
 
1.9%
technology 4
 
1.9%
co 4
 
1.9%
주 3
 
1.4%
co.,ltd 3
 
1.4%
Other values (132) 151
72.6%
2024-04-18T06:15:16.112198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 97
 
6.5%
) 94
 
6.3%
( 93
 
6.3%
70
 
4.7%
리 62
 
4.2%
코 45
 
3.0%
담 38
 
2.6%
배 38
 
2.6%
스 34
 
2.3%
아 34
 
2.3%
Other values (220) 881
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 948
63.8%
Lowercase Letter 149
 
10.0%
Close Punctuation 94
 
6.3%
Open Punctuation 93
 
6.3%
Uppercase Letter 83
 
5.6%
Space Separator 70
 
4.7%
Other Punctuation 38
 
2.6%
Decimal Number 7
 
0.5%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 97
 
10.2%
리 62
 
6.5%
코 45
 
4.7%
담 38
 
4.0%
배 38
 
4.0%
스 34
 
3.6%
아 34
 
3.6%
사 24
 
2.5%
우 22
 
2.3%
국 19
 
2.0%
Other values (163) 535
56.4%
Uppercase Letter
ValueCountFrequency (%)
T 11
13.3%
L 10
12.0%
C 8
 
9.6%
S 7
 
8.4%
A 6
 
7.2%
H 5
 
6.0%
K 5
 
6.0%
I 4
 
4.8%
D 4
 
4.8%
O 3
 
3.6%
Other values (12) 20
24.1%
Lowercase Letter
ValueCountFrequency (%)
e 22
14.8%
n 20
13.4%
o 20
13.4%
h 14
9.4%
t 11
7.4%
c 10
6.7%
i 9
6.0%
d 8
 
5.4%
g 7
 
4.7%
a 6
 
4.0%
Other values (10) 22
14.8%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
2 1
14.3%
5 1
14.3%
0 1
14.3%
8 1
14.3%
3 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 21
55.3%
. 14
36.8%
& 1
 
2.6%
/ 1
 
2.6%
' 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
63.8%
Common 306
 
20.6%
Latin 232
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 97
 
10.2%
리 62
 
6.5%
코 45
 
4.7%
담 38
 
4.0%
배 38
 
4.0%
스 34
 
3.6%
아 34
 
3.6%
사 24
 
2.5%
우 22
 
2.3%
국 19
 
2.0%
Other values (163) 535
56.4%
Latin
ValueCountFrequency (%)
e 22
 
9.5%
n 20
 
8.6%
o 20
 
8.6%
h 14
 
6.0%
t 11
 
4.7%
T 11
 
4.7%
L 10
 
4.3%
c 10
 
4.3%
i 9
 
3.9%
d 8
 
3.4%
Other values (32) 97
41.8%
Common
ValueCountFrequency (%)
) 94
30.7%
( 93
30.4%
70
22.9%
, 21
 
6.9%
. 14
 
4.6%
- 4
 
1.3%
1 2
 
0.7%
& 1
 
0.3%
/ 1
 
0.3%
2 1
 
0.3%
Other values (5) 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 948
63.8%
ASCII 538
36.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 97
 
10.2%
리 62
 
6.5%
코 45
 
4.7%
담 38
 
4.0%
배 38
 
4.0%
스 34
 
3.6%
아 34
 
3.6%
사 24
 
2.5%
우 22
 
2.3%
국 19
 
2.0%
Other values (163) 535
56.4%
ASCII
ValueCountFrequency (%)
) 94
17.5%
( 93
17.3%
70
13.0%
e 22
 
4.1%
, 21
 
3.9%
n 20
 
3.7%
o 20
 
3.7%
. 14
 
2.6%
h 14
 
2.6%
t 11
 
2.0%
Other values (47) 159
29.6%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)취급제품명담배공급업체명Unnamed: 30
01담배도매업11_43_01_P3250000200932500831550000120090416<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>600016부산광역시 중구 중앙동6가 62번지 13호부산광역시 중구 중앙대로 21 (중앙동6가)<NA>오공디지텍20090522092456I2018-08-31 23:59:59.0<NA>385609.359824179719.665042루엔(RUYAN, 전자담배)(주)한국전자담배<NA>
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34담배도매업11_43_01_P3250000200832500591550000120080107<NA>3폐업3폐업처리20081110<NA><NA><NA>051-241-5283<NA>600083부산광역시 중구 보수동3가 24번지 6호부산광역시 중구 보수대로 96 (보수동3가)<NA>우리담배 서구대리점20081110163110I2018-08-31 23:59:59.0<NA>384240.617108180233.385286위고, 스윙우리담배판매(주)<NA>
45담배도매업11_43_01_P3250000201132500831550000120110622<NA>3폐업3폐업처리20120312<NA><NA><NA>0514610999<NA>600012부산광역시 중구 중앙동2가 44번지 1호 한국산업은행빌딩 1층부산광역시 중구 대청로 136 (중앙동2가,한국산업은행빌딩 1층)<NA>(주)범주여행사20120327100940I2018-08-31 23:59:59.0<NA>385467.102972180041.887056전자담배CDT<NA>
56담배도매업11_43_01_P3250000201232500831550000120120404<NA>3폐업3폐업처리20140624<NA><NA><NA>0512482161<NA>600011부산광역시 중구 중앙동1가 26번지 광복지하상가 C-38호부산광역시 중구 중앙대로 17 (중앙동6가, 광복지하상가 c-38)600714전자담배제씨남포점20140624162418I2018-08-31 23:59:59.0<NA>385560.432671179859.631632액상코리아,FZ-ecig페로젠코리아<NA>
67담배도매업11_43_01_P3250000201332500831550000220130722<NA>3폐업3폐업처리20141229<NA><NA><NA><NA><NA>600041부산광역시 중구 남포동1가 21번지 6호부산광역시 중구 구덕로 13 (남포동1가)600041스누스코리아중구20141229162656I2018-08-31 23:59:59.0<NA>385429.507454179502.582396스누스(수입담배)스누스<NA>
78담배도매업11_43_01_P3250000201332500831550000120130322<NA>3폐업3폐업처리20130718<NA><NA><NA><NA><NA>600041부산광역시 중구 남포동1가 21번지 6호부산광역시 중구 구덕로 13 (남포동1가)600041스누스코리아중구20130722171455I2018-08-31 23:59:59.0<NA>385429.507454179502.582396스누스(수입담배)스누스코리아<NA>
89담배도매업11_43_01_P3250000200932500831550000220091014201412234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA><NA><NA>600811부산광역시 중구 영주1동 662번지 2호부산광역시 중구 중구로188번길 14 (영주동)<NA>블랙데빌부산지사20141226160912I2018-08-31 23:59:59.0<NA>385519.340455180970.969622블랙데빌영진상사<NA>
910담배도매업11_43_01_P3260000201032600701550000120100405<NA>1영업/정상1정상영업<NA><NA><NA><NA>241-0993<NA>602011부산광역시 서구 충무동1가부산광역시 서구 해안새벽시장길 18, A동 237호 (충무동1가, 대평빌딩)602011합동교역20141204095555I2018-08-31 23:59:59.0<NA>384594.978855179240.975594담배신라교역외<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)취급제품명담배공급업체명Unnamed: 30
128129담배도매업11_43_01_P3390000202133901091550000120210330<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 괘법동 516-25부산광역시 사상구 운산로 48, 장원빌딩 4층 (괘법동)46963유베코20210330173944I2021-04-01 00:22:58.0<NA>380463.469888187201.309687일회용 전자 담배 ALLO Ultra 800동양화공<NA>
129130담배도매업11_43_01_P3390000202133901091550000220210330<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-624-6122<NA><NA>부산광역시 사상구 괘법동 516-25부산광역시 사상구 운산로 48, 4층 (괘법동)46963주식회사 유베이퍼코리아20210330174023I2021-04-01 00:22:58.0<NA>380463.469888187201.309687일회용 전자담배 ALLO Ultra 800동양화공<NA>
130131담배도매업11_43_01_P3390000200933900661550000220090514<NA>3폐업3폐업처리20100614<NA><NA><NA>319-3500<NA>617809부산광역시 사상구 괘법동 578번지 (공구길 42) 산업용품상가 지하1층 M-23호부산광역시 사상구 괘감로 37 (괘법동,(공구길 42) 산업용품상가 지하1층 M-23호)<NA>우리담배 사하대리점20110322161419I2018-08-31 23:59:59.0<NA>380291.656001186303.922054우리담배우리담배판매(주)<NA>
131132담배도매업11_43_01_P3390000200933900661550000120090331<NA>3폐업3폐업처리20160819<NA><NA><NA>313-1358<NA>617845부산광역시 사상구 학장동 389번지 1호 (보수로 1012)부산광역시 사상구 학감대로 144 (학장동,(보수로 1012))<NA>미림디지텍20190312141528U2019-03-14 02:40:00.0<NA>381137.295464184568.843161에바코 전자담배(주) 에바코<NA>
132133담배도매업11_43_01_P3390000200733900560510000120070725<NA>3폐업3폐업처리20080122<NA><NA><NA>051-316-5551<NA>617806부산광역시 사상구 괘법동 268-번지 8호<NA><NA>(주)영남토바코컴퍼니사상구대리점20080122155454I2018-08-31 23:59:59.0<NA><NA><NA>니드주몽실크,니드주몽블루,니드주몽트윈,니드주몽핑크(주)영남토바코컴퍼니<NA>
133134담배도매업11_43_01_P3390000200833900561550000120080110<NA>3폐업3폐업처리20080324<NA><NA><NA>051-323-0760<NA>617831부산광역시 사상구 엄궁동 642번지 부건빌딩201호부산광역시 사상구 강변대로 570 (엄궁동,부건빌딩201호)<NA>(주)상생20080623110328I2018-08-31 23:59:59.0<NA>379121.358659183459.900435위고,스윙우리담배판매(주)<NA>
134135담배도매업11_43_01_P3390000200833900561550000220080327<NA>3폐업3폐업처리20100121<NA><NA><NA>051-325-8989<NA>617818부산광역시 사상구 모라동 1335번지 10호부산광역시 사상구 백양대로 955-26 (모라동)<NA>우리담배사상대리점20100121190516I2018-08-31 23:59:59.0<NA>381256.423106189897.515605위고,스윙우리담배판매(주)<NA>
135136담배도매업11_43_01_P3390000201133900831550000120111010<NA>3폐업3폐업처리20130130<NA><NA><NA>051-323-5002<NA>617806부산광역시 사상구 괘법동 933번지 4호 국제글로벌 401호 광장로 106부산광역시 사상구 광장로 106 (괘법동,국제글로벌 401호 광장로 106)<NA>국제글로벌(주)20141204125403I2018-08-31 23:59:59.0<NA>381072.491465186557.907451전자담배라손<NA>
136137담배도매업11_43_01_P3390000201533900911550000120150203<NA>3폐업3폐업처리20160304<NA><NA><NA><NA><NA>617012부산광역시 사상구 주례동 74번지 22호부산광역시 사상구 냉정로 116 (주례동)617012무코전자담배 부산주례점20160304140213I2018-08-31 23:59:59.0<NA>383331.897458185205.345411전자담배(주)무코전자담배<NA>
137138담배도매업11_43_01_P3400000200834000251550000120080103<NA>4취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>051-723-0234<NA>619912부산광역시 기장군 일광면 화전리 39번지 2호부산광역시 기장군 일광면 기장대로 1037619912우리담배 기장대리점20161111111648I2018-08-31 23:59:59.0<NA>403104.734702200830.242234위고, 스윙우리담배판매(주)<NA>