Overview

Dataset statistics

Number of variables31
Number of observations136
Missing cells927
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.6 KiB
Average record size in memory268.0 B

Variable types

Numeric11
Categorical10
Unsupported4
Text6

Dataset

Description2021-01-04
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 (93.7%)Imbalance
휴업종료일자 is highly imbalanced (93.7%)Imbalance
데이터갱신구분 is highly imbalanced (80.9%)Imbalance
데이터갱신일자 is highly imbalanced (86.6%)Imbalance
인허가취소일자 has 125 (91.9%) missing valuesMissing
폐업일자 has 64 (47.1%) missing valuesMissing
재개업일자 has 136 (100.0%) missing valuesMissing
소재지전화 has 45 (33.1%) missing valuesMissing
소재지면적 has 136 (100.0%) missing valuesMissing
소재지우편번호 has 25 (18.4%) missing valuesMissing
소재지전체주소 has 12 (8.8%) missing valuesMissing
도로명전체주소 has 19 (14.0%) missing valuesMissing
도로명우편번호 has 85 (62.5%) missing valuesMissing
업태구분명 has 136 (100.0%) missing valuesMissing
좌표정보(x) has 4 (2.9%) missing valuesMissing
좌표정보(y) has 4 (2.9%) missing valuesMissing
Unnamed: 30 has 136 (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 21:16:46.930015
Analysis finished2024-04-17 21:16:47.491237
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.5
Minimum1
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:47.545207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.75
Q134.75
median68.5
Q3102.25
95-th percentile129.25
Maximum136
Range135
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation39.403892
Coefficient of variation (CV)0.57523929
Kurtosis-1.2
Mean68.5
Median Absolute Deviation (MAD)34
Skewness0
Sum9316
Variance1552.6667
MonotonicityStrictly increasing
2024-04-18T06:16:47.656356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
70 1
 
0.7%
Other values (126) 126
92.6%
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 (%)
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%
128 1
0.7%
127 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
담배도매업
136 

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 136
100.0%

Length

2024-04-18T06:16:47.758907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:47.828788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배도매업 136
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
11_43_01_P
136 

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 136
100.0%

Length

2024-04-18T06:16:47.908603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:47.986375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_43_01_p 136
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322647.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:48.054289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33352500
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)62500

Descriptive statistics

Standard deviation41172.362
Coefficient of variation (CV)0.012391434
Kurtosis-1.0005094
Mean3322647.1
Median Absolute Deviation (MAD)30000
Skewness0.060554297
Sum4.5188 × 108
Variance1.6951634 × 109
MonotonicityNot monotonic
2024-04-18T06:16:48.148810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 23
16.9%
3330000 14
10.3%
3310000 13
9.6%
3350000 12
8.8%
3380000 10
7.4%
3370000 10
7.4%
3390000 9
 
6.6%
3250000 9
 
6.6%
3300000 8
 
5.9%
3320000 7
 
5.1%
Other values (6) 21
15.4%
ValueCountFrequency (%)
3250000 9
 
6.6%
3260000 3
 
2.2%
3270000 4
 
2.9%
3280000 5
 
3.7%
3290000 23
16.9%
3300000 8
 
5.9%
3310000 13
9.6%
3320000 7
 
5.1%
3330000 14
10.3%
3340000 4
 
2.9%
ValueCountFrequency (%)
3400000 1
 
0.7%
3390000 9
6.6%
3380000 10
7.4%
3370000 10
7.4%
3360000 4
 
2.9%
3350000 12
8.8%
3340000 4
 
2.9%
3330000 14
10.3%
3320000 7
5.1%
3310000 13
9.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.009972 × 1018
Minimum1.990335 × 1018
Maximum2.020338 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:48.257410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.990335 × 1018
5-th percentile2.0038355 × 1018
Q12.008328 × 1018
median2.010331 × 1018
Q32.0123255 × 1018
95-th percentile2.0155865 × 1018
Maximum2.020338 × 1018
Range3.0003 × 1016
Interquartile range (IQR)3.9975014 × 1015

Descriptive statistics

Standard deviation4.3416613 × 1015
Coefficient of variation (CV)0.0021600606
Kurtosis4.8308488
Mean2.009972 × 1018
Median Absolute Deviation (MAD)2.0010004 × 1015
Skewness-1.162793
Sum-3.3449721 × 1018
Variance1.8850023 × 1031
MonotonicityNot monotonic
2024-04-18T06:16:48.374117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2009325008315500001 1
 
0.7%
2010331008215500001 1
 
0.7%
2012330007915500001 1
 
0.7%
2011331008215500002 1
 
0.7%
2014331008815500001 1
 
0.7%
2014331008815500002 1
 
0.7%
2006331008215500001 1
 
0.7%
2008331007115500001 1
 
0.7%
2010331008215500002 1
 
0.7%
2011326007015500001 1
 
0.7%
Other values (126) 126
92.6%
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 (%)
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%
2015338007115500001 1
0.7%
2015335010015500001 1
0.7%

인허가일자
Real number (ℝ)

Distinct129
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096777
Minimum19900419
Maximum20201112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:48.902589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900419
5-th percentile20035642
Q120080109
median20101064
Q320120408
95-th percentile20153140
Maximum20201112
Range300693
Interquartile range (IQR)40298.75

Descriptive statistics

Standard deviation44116.586
Coefficient of variation (CV)0.0021952071
Kurtosis4.9291372
Mean20096777
Median Absolute Deviation (MAD)20748
Skewness-1.2398831
Sum2.7331616 × 109
Variance1.9462731 × 109
MonotonicityNot monotonic
2024-04-18T06:16:49.009159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101021 3
 
2.2%
20080425 2
 
1.5%
20101110 2
 
1.5%
20110413 2
 
1.5%
20080321 2
 
1.5%
20150305 2
 
1.5%
20060501 1
 
0.7%
20120822 1
 
0.7%
20061107 1
 
0.7%
20061024 1
 
0.7%
Other values (119) 119
87.5%
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 (%)
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
1.5%
20150304 1
0.7%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)54.5%
Missing125
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean20137880
Minimum20091120
Maximum20180725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:49.102580image/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
2024-04-18T06:16:49.185617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20130408 5
 
3.7%
20150227 2
 
1.5%
20141223 1
 
0.7%
20091120 1
 
0.7%
20151113 1
 
0.7%
20180725 1
 
0.7%
(Missing) 125
91.9%
ValueCountFrequency (%)
20091120 1
 
0.7%
20130408 5
3.7%
20141223 1
 
0.7%
20150227 2
 
1.5%
20151113 1
 
0.7%
20180725 1
 
0.7%
ValueCountFrequency (%)
20180725 1
 
0.7%
20151113 1
 
0.7%
20150227 2
 
1.5%
20141223 1
 
0.7%
20130408 5
3.7%
20091120 1
 
0.7%

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
72 
1
52 
4
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 72
52.9%
1 52
38.2%
4 12
 
8.8%

Length

2024-04-18T06:16:49.278834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:49.356936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 72
52.9%
1 52
38.2%
4 12
 
8.8%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
72 
영업/정상
52 
취소/말소/만료/정지/중지
12 

Length

Max length14
Median length2
Mean length4.2058824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 72
52.9%
영업/정상 52
38.2%
취소/말소/만료/정지/중지 12
 
8.8%

Length

2024-04-18T06:16:49.450500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:49.533757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 72
52.9%
영업/정상 52
38.2%
취소/말소/만료/정지/중지 12
 
8.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
72 
1
52 
4
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 72
52.9%
1 52
38.2%
4 12
 
8.8%

Length

2024-04-18T06:16:49.618683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:49.696477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 72
52.9%
1 52
38.2%
4 12
 
8.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업처리
72 
정상영업
52 
직권취소
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 72
52.9%
정상영업 52
38.2%
직권취소 12
 
8.8%

Length

2024-04-18T06:16:49.784219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:49.864313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 72
52.9%
정상영업 52
38.2%
직권취소 12
 
8.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)93.1%
Missing64
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean20115789
Minimum20051114
Maximum20191106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:49.959485image/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
2024-04-18T06:16:50.080459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051114 3
 
2.2%
20110117 2
 
1.5%
20090603 2
 
1.5%
20110328 2
 
1.5%
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
41.9%
(Missing) 64
47.1%
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 (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
135 
20170101
 
1

Length

Max length8
Median length4
Mean length4.0294118
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> 135
99.3%
20170101 1
 
0.7%

Length

2024-04-18T06:16:50.199118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:50.283861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
99.3%
20170101 1
 
0.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
135 
20170630
 
1

Length

Max length8
Median length4
Mean length4.0294118
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> 135
99.3%
20170630 1
 
0.7%

Length

2024-04-18T06:16:50.375502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:50.458825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
99.3%
20170630 1
 
0.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Text

MISSING 

Distinct87
Distinct (%)95.6%
Missing45
Missing (%)33.1%
Memory size1.2 KiB
2024-04-18T06:16:50.645421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.351648
Min length1

Characters and Unicode

Total characters942
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

Unique83 ?
Unique (%)91.2%

Sample

1st row0512482161
2nd row241-0993
3rd row051-466-5259
4th row051-463-7950
5th row051 414 8926
ValueCountFrequency (%)
051 6
 
5.9%
1899-8748 2
 
2.0%
1599-1345 2
 
2.0%
0512482161 2
 
2.0%
051-323-0760 2
 
2.0%
051-805-5219 1
 
1.0%
701 1
 
1.0%
5885 1
 
1.0%
744 1
 
1.0%
7823745 1
 
1.0%
Other values (83) 83
81.4%
2024-04-18T06:16:51.000196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 135
14.3%
0 133
14.1%
- 124
13.2%
1 122
13.0%
7 70
7.4%
2 67
7.1%
8 66
7.0%
4 61
6.5%
3 54
 
5.7%
6 52
 
5.5%
Other values (2) 58
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 807
85.7%
Dash Punctuation 124
 
13.2%
Space Separator 11
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 135
16.7%
0 133
16.5%
1 122
15.1%
7 70
8.7%
2 67
8.3%
8 66
8.2%
4 61
7.6%
3 54
 
6.7%
6 52
 
6.4%
9 47
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 135
14.3%
0 133
14.1%
- 124
13.2%
1 122
13.0%
7 70
7.4%
2 67
7.1%
8 66
7.0%
4 61
6.5%
3 54
 
5.7%
6 52
 
5.5%
Other values (2) 58
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 135
14.3%
0 133
14.1%
- 124
13.2%
1 122
13.0%
7 70
7.4%
2 67
7.1%
8 66
7.0%
4 61
6.5%
3 54
 
5.7%
6 52
 
5.5%
Other values (2) 58
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)85.6%
Missing25
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean610362.88
Minimum600011
Maximum619912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:51.152663image/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
2024-04-18T06:16:51.295771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609340 3
 
2.2%
614032 3
 
2.2%
613828 3
 
2.2%
611071 2
 
1.5%
617806 2
 
1.5%
611085 2
 
1.5%
607842 2
 
1.5%
600041 2
 
1.5%
607818 2
 
1.5%
607060 2
 
1.5%
Other values (85) 88
64.7%
(Missing) 25
 
18.4%
ValueCountFrequency (%)
600011 1
0.7%
600012 1
0.7%
600016 2
1.5%
600041 2
1.5%
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 

Distinct118
Distinct (%)95.2%
Missing12
Missing (%)8.8%
Memory size1.2 KiB
2024-04-18T06:16:51.619047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length27.064516
Min length14

Characters and Unicode

Total characters3356
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 (%)91.1%

Sample

1st row부산광역시 중구 중앙동6가 62번지 13호
2nd row부산광역시 중구 영주동 23번지 3호
3rd row부산광역시 중구 중앙동6가 9번지 1호 광복지하상가 B41호
4th row부산광역시 서구 충무동1가
5th row부산광역시 동구 수정동 1164번지 4호
ValueCountFrequency (%)
부산광역시 124
 
17.7%
부산진구 18
 
2.6%
1호 17
 
2.4%
해운대구 12
 
1.7%
남구 11
 
1.6%
금정구 11
 
1.6%
연제구 10
 
1.4%
수영구 10
 
1.4%
사상구 9
 
1.3%
중구 9
 
1.3%
Other values (317) 471
67.1%
2024-04-18T06:16:52.129377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
 
17.5%
1 178
 
5.3%
산 158
 
4.7%
부 155
 
4.6%
호 142
 
4.2%
동 142
 
4.2%
광 131
 
3.9%
지 129
 
3.8%
시 127
 
3.8%
구 127
 
3.8%
Other values (182) 1481
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2012
60.0%
Decimal Number 731
 
21.8%
Space Separator 586
 
17.5%
Uppercase Letter 9
 
0.3%
Dash Punctuation 7
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 158
 
7.9%
부 155
 
7.7%
호 142
 
7.1%
동 142
 
7.1%
광 131
 
6.5%
지 129
 
6.4%
시 127
 
6.3%
구 127
 
6.3%
역 124
 
6.2%
번 120
 
6.0%
Other values (160) 657
32.7%
Decimal Number
ValueCountFrequency (%)
1 178
24.4%
2 115
15.7%
3 96
13.1%
4 70
 
9.6%
6 61
 
8.3%
0 55
 
7.5%
5 50
 
6.8%
8 46
 
6.3%
7 30
 
4.1%
9 30
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
E 2
22.2%
O 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 (%)
586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2012
60.0%
Common 1335
39.8%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 158
 
7.9%
부 155
 
7.7%
호 142
 
7.1%
동 142
 
7.1%
광 131
 
6.5%
지 129
 
6.4%
시 127
 
6.3%
구 127
 
6.3%
역 124
 
6.2%
번 120
 
6.0%
Other values (160) 657
32.7%
Common
ValueCountFrequency (%)
586
43.9%
1 178
 
13.3%
2 115
 
8.6%
3 96
 
7.2%
4 70
 
5.2%
6 61
 
4.6%
0 55
 
4.1%
5 50
 
3.7%
8 46
 
3.4%
7 30
 
2.2%
Other values (6) 48
 
3.6%
Latin
ValueCountFrequency (%)
T 2
22.2%
E 2
22.2%
O 2
22.2%
M 1
11.1%
C 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2012
60.0%
ASCII 1344
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
586
43.6%
1 178
 
13.2%
2 115
 
8.6%
3 96
 
7.1%
4 70
 
5.2%
6 61
 
4.5%
0 55
 
4.1%
5 50
 
3.7%
8 46
 
3.4%
7 30
 
2.2%
Other values (12) 57
 
4.2%
Hangul
ValueCountFrequency (%)
산 158
 
7.9%
부 155
 
7.7%
호 142
 
7.1%
동 142
 
7.1%
광 131
 
6.5%
지 129
 
6.4%
시 127
 
6.3%
구 127
 
6.3%
역 124
 
6.2%
번 120
 
6.0%
Other values (160) 657
32.7%

도로명전체주소
Text

MISSING 

Distinct112
Distinct (%)95.7%
Missing19
Missing (%)14.0%
Memory size1.2 KiB
2024-04-18T06:16:52.384657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length29.273504
Min length17

Characters and Unicode

Total characters3425
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

Unique108 ?
Unique (%)92.3%

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 서구 해안새벽시장길 18, A동 237호 (충무동1가, 대평빌딩)
5th row부산광역시 동구 망양로735번길 6-1 (수정동)
ValueCountFrequency (%)
부산광역시 117
 
17.9%
남구 13
 
2.0%
해운대구 13
 
2.0%
금정구 11
 
1.7%
수영구 10
 
1.5%
부산진구 9
 
1.4%
중구 9
 
1.4%
연제구 9
 
1.4%
사상구 8
 
1.2%
동래구 8
 
1.2%
Other values (321) 446
68.3%
2024-04-18T06:16:52.724496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
537
 
15.7%
1 143
 
4.2%
동 141
 
4.1%
산 140
 
4.1%
부 134
 
3.9%
광 131
 
3.8%
구 124
 
3.6%
시 123
 
3.6%
로 120
 
3.5%
) 118
 
3.4%
Other values (209) 1714
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2028
59.2%
Space Separator 537
 
15.7%
Decimal Number 533
 
15.6%
Close Punctuation 118
 
3.4%
Open Punctuation 118
 
3.4%
Other Punctuation 64
 
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 (%)
동 141
 
7.0%
산 140
 
6.9%
부 134
 
6.6%
광 131
 
6.5%
구 124
 
6.1%
시 123
 
6.1%
로 120
 
5.9%
역 117
 
5.8%
대 62
 
3.1%
길 36
 
1.8%
Other values (185) 900
44.4%
Decimal Number
ValueCountFrequency (%)
1 143
26.8%
2 81
15.2%
3 65
12.2%
0 52
 
9.8%
4 40
 
7.5%
8 34
 
6.4%
7 34
 
6.4%
6 32
 
6.0%
9 26
 
4.9%
5 26
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
O 2
22.2%
T 2
22.2%
B 2
22.2%
M 1
11.1%
A 1
11.1%
E 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 62
96.9%
/ 2
 
3.1%
Space Separator
ValueCountFrequency (%)
537
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
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 2028
59.2%
Common 1387
40.5%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 141
 
7.0%
산 140
 
6.9%
부 134
 
6.6%
광 131
 
6.5%
구 124
 
6.1%
시 123
 
6.1%
로 120
 
5.9%
역 117
 
5.8%
대 62
 
3.1%
길 36
 
1.8%
Other values (185) 900
44.4%
Common
ValueCountFrequency (%)
537
38.7%
1 143
 
10.3%
) 118
 
8.5%
( 118
 
8.5%
2 81
 
5.8%
3 65
 
4.7%
, 62
 
4.5%
0 52
 
3.7%
4 40
 
2.9%
8 34
 
2.5%
Other values (7) 137
 
9.9%
Latin
ValueCountFrequency (%)
O 2
20.0%
T 2
20.0%
B 2
20.0%
M 1
10.0%
A 1
10.0%
c 1
10.0%
E 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2028
59.2%
ASCII 1397
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
537
38.4%
1 143
 
10.2%
) 118
 
8.4%
( 118
 
8.4%
2 81
 
5.8%
3 65
 
4.7%
, 62
 
4.4%
0 52
 
3.7%
4 40
 
2.9%
8 34
 
2.4%
Other values (14) 147
 
10.5%
Hangul
ValueCountFrequency (%)
동 141
 
7.0%
산 140
 
6.9%
부 134
 
6.6%
광 131
 
6.5%
구 124
 
6.1%
시 123
 
6.1%
로 120
 
5.9%
역 117
 
5.8%
대 62
 
3.1%
길 36
 
1.8%
Other values (185) 900
44.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)90.2%
Missing85
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean499741.88
Minimum46205
Maximum619912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:52.835353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46205
5-th percentile46833.5
Q1600377.5
median608830
Q3613828
95-th percentile616915.5
Maximum619912
Range573707
Interquartile range (IQR)13450.5

Descriptive statistics

Standard deviation225658.82
Coefficient of variation (CV)0.45155075
Kurtosis0.50477848
Mean499741.88
Median Absolute Deviation (MAD)6020
Skewness-1.57578
Sum25486836
Variance5.0921903 × 1010
MonotonicityNot monotonic
2024-04-18T06:16:52.938686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
613828 3
 
2.2%
48059 3
 
2.2%
600041 2
 
1.5%
46205 1
 
0.7%
613808 1
 
0.7%
48283 1
 
0.7%
617840 1
 
0.7%
619912 1
 
0.7%
600714 1
 
0.7%
606760 1
 
0.7%
Other values (36) 36
26.5%
(Missing) 85
62.5%
ValueCountFrequency (%)
46205 1
 
0.7%
46322 1
 
0.7%
46547 1
 
0.7%
47120 1
 
0.7%
47285 1
 
0.7%
48059 3
2.2%
48283 1
 
0.7%
48427 1
 
0.7%
600016 1
 
0.7%
600041 2
1.5%
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

Distinct131
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T06:16:53.186693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.0588235
Min length2

Characters and Unicode

Total characters1096
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

Unique126 ?
Unique (%)92.6%

Sample

1st row오공디지텍
2nd row스누스맨부산지사
3rd row하카전자담배남포점
4th row합동교역
5th row우리담배부산동구대리점
ValueCountFrequency (%)
우리담배 7
 
4.0%
전자담배 5
 
2.9%
주식회사 5
 
2.9%
스누스코리아 3
 
1.7%
한국전자담배 3
 
1.7%
북구대리점 2
 
1.1%
주)상생 2
 
1.1%
스누스코리아중구 2
 
1.1%
대리점 2
 
1.1%
부산서면전자담배 2
 
1.1%
Other values (140) 142
81.1%
2024-04-18T06:16:53.552152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 59
 
5.4%
주 40
 
3.6%
배 40
 
3.6%
담 39
 
3.6%
39
 
3.6%
( 39
 
3.6%
) 39
 
3.6%
스 35
 
3.2%
점 35
 
3.2%
코 28
 
2.6%
Other values (202) 703
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 938
85.6%
Space Separator 39
 
3.6%
Open Punctuation 39
 
3.6%
Close Punctuation 39
 
3.6%
Uppercase Letter 27
 
2.5%
Other Punctuation 8
 
0.7%
Lowercase Letter 5
 
0.5%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 59
 
6.3%
주 40
 
4.3%
배 40
 
4.3%
담 39
 
4.2%
스 35
 
3.7%
점 35
 
3.7%
코 28
 
3.0%
아 25
 
2.7%
자 25
 
2.7%
전 24
 
2.6%
Other values (176) 588
62.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
14.8%
E 3
11.1%
M 3
11.1%
A 2
 
7.4%
T 2
 
7.4%
D 2
 
7.4%
O 2
 
7.4%
U 1
 
3.7%
H 1
 
3.7%
G 1
 
3.7%
Other values (6) 6
22.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
a 1
20.0%
d 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Space Separator
ValueCountFrequency (%)
39
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 938
85.6%
Common 126
 
11.5%
Latin 32
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 59
 
6.3%
주 40
 
4.3%
배 40
 
4.3%
담 39
 
4.2%
스 35
 
3.7%
점 35
 
3.7%
코 28
 
3.0%
아 25
 
2.7%
자 25
 
2.7%
전 24
 
2.6%
Other values (176) 588
62.7%
Latin
ValueCountFrequency (%)
C 4
 
12.5%
E 3
 
9.4%
M 3
 
9.4%
A 2
 
6.2%
s 2
 
6.2%
T 2
 
6.2%
D 2
 
6.2%
O 2
 
6.2%
a 1
 
3.1%
d 1
 
3.1%
Other values (10) 10
31.2%
Common
ValueCountFrequency (%)
39
31.0%
( 39
31.0%
) 39
31.0%
. 6
 
4.8%
& 2
 
1.6%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 938
85.6%
ASCII 158
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 59
 
6.3%
주 40
 
4.3%
배 40
 
4.3%
담 39
 
4.2%
스 35
 
3.7%
점 35
 
3.7%
코 28
 
3.0%
아 25
 
2.7%
자 25
 
2.7%
전 24
 
2.6%
Other values (176) 588
62.7%
ASCII
ValueCountFrequency (%)
39
24.7%
( 39
24.7%
) 39
24.7%
. 6
 
3.8%
C 4
 
2.5%
E 3
 
1.9%
M 3
 
1.9%
A 2
 
1.3%
s 2
 
1.3%
T 2
 
1.3%
Other values (16) 19
12.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0128779 × 1013
Minimum2.0051201 × 1013
Maximum2.0201119 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:53.684708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0051201 × 1013
5-th percentile2.0080416 × 1013
Q12.0110117 × 1013
median2.0130408 × 1013
Q32.0150247 × 1013
95-th percentile2.0180725 × 1013
Maximum2.0201119 × 1013
Range1.4991792 × 1011
Interquartile range (IQR)4.0129484 × 1010

Descriptive statistics

Standard deviation3.228808 × 1010
Coefficient of variation (CV)0.0016040754
Kurtosis-0.45403306
Mean2.0128779 × 1013
Median Absolute Deviation (MAD)2.0100979 × 1010
Skewness0.057536426
Sum2.7375139 × 1015
Variance1.0425201 × 1021
MonotonicityNot monotonic
2024-04-18T06:16:53.803772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090522092456 1
 
0.7%
20111228164925 1
 
0.7%
20170123163947 1
 
0.7%
20130110144231 1
 
0.7%
20170419141712 1
 
0.7%
20170927175959 1
 
0.7%
20081117143941 1
 
0.7%
20090523144236 1
 
0.7%
20110322100527 1
 
0.7%
20191113162438 1
 
0.7%
Other values (126) 126
92.6%
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 (%)
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%
20180725102424 1
0.7%
20180320163128 1
0.7%
20170927175959 1
0.7%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
132 
U
 
4

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 132
97.1%
U 4
 
2.9%

Length

2024-04-18T06:16:53.929358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:54.012314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 132
97.1%
u 4
 
2.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
130 
2020-11-21 02:40:00.0
 
1
2020-06-11 00:23:29.0
 
1
2020-02-07 02:40:00.0
 
1
2020-11-14 00:23:08.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)4.4%

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 23:59:59.0 130
95.6%
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%
2019-11-15 02:40:00.0 1
 
0.7%
2019-03-14 02:40:00.0 1
 
0.7%

Length

2024-04-18T06:16:54.095542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:16:54.206588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 130
47.8%
23:59:59.0 130
47.8%
02:40:00.0 4
 
1.5%
2020-11-21 1
 
0.4%
2020-06-11 1
 
0.4%
00:23:29.0 1
 
0.4%
2020-02-07 1
 
0.4%
2020-11-14 1
 
0.4%
00:23:08.0 1
 
0.4%
2019-11-15 1
 
0.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)92.4%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean388345.42
Minimum373486.77
Maximum403104.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:54.355002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373486.77
5-th percentile380280.59
Q1385579.1
median388534.7
Q3391240.93
95-th percentile395615.2
Maximum403104.73
Range29617.964
Interquartile range (IQR)5661.8262

Descriptive statistics

Standard deviation4783.0125
Coefficient of variation (CV)0.012316387
Kurtosis0.82063275
Mean388345.42
Median Absolute Deviation (MAD)2929.0699
Skewness-0.1062095
Sum51261596
Variance22877209
MonotonicityNot monotonic
2024-04-18T06:16:54.490466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393269.543893987 3
 
2.2%
395615.201853958 3
 
2.2%
391411.212179843 2
 
1.5%
388596.863365011 2
 
1.5%
387674.292977056 2
 
1.5%
393511.746976726 2
 
1.5%
397900.605249708 2
 
1.5%
385429.507453868 2
 
1.5%
387136.793044667 1
 
0.7%
392958.169438151 1
 
0.7%
Other values (112) 112
82.4%
(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%
381072.491465006 1
0.7%
ValueCountFrequency (%)
403104.73470169 1
 
0.7%
400417.070055581 1
 
0.7%
398159.477095246 1
 
0.7%
397900.605249708 2
1.5%
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 

Distinct122
Distinct (%)92.4%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean186872.31
Minimum177147.05
Maximum202731.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-18T06:16:54.605314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177147.05
5-th percentile179182.05
Q1183981.02
median186441.98
Q3189595.81
95-th percentile195809.9
Maximum202731.32
Range25584.272
Interquartile range (IQR)5614.7928

Descriptive statistics

Standard deviation5081.3173
Coefficient of variation (CV)0.027191387
Kurtosis0.38233068
Mean186872.31
Median Absolute Deviation (MAD)2932.4678
Skewness0.45013114
Sum24667145
Variance25819785
MonotonicityNot monotonic
2024-04-18T06:16:54.712469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186441.977215265 3
 
2.2%
186406.750870936 3
 
2.2%
184052.409245407 2
 
1.5%
191754.777025517 2
 
1.5%
185628.880768977 2
 
1.5%
189374.445030633 2
 
1.5%
188205.674416891 2
 
1.5%
179502.582395712 2
 
1.5%
186263.633261374 1
 
0.7%
194192.514655447 1
 
0.7%
Other values (112) 112
82.4%
(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

Distinct95
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T06:16:54.870909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length49
Mean length11.463235
Min length1

Characters and Unicode

Total characters1559
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

Unique85 ?
Unique (%)62.5%

Sample

1st row루엔(RUYAN, 전자담배)
2nd rowMegapole White 외 9개제품
3rd row액상코리아 액상 및 기기
4th row담배
5th row위고,스윙
ValueCountFrequency (%)
전자담배 39
 
14.6%
스윙 11
 
4.1%
위고 11
 
4.1%
액상 8
 
3.0%
및 5
 
1.9%
위고,스윙 4
 
1.5%
스누스 4
 
1.5%
담배 4
 
1.5%
me 4
 
1.5%
too 4
 
1.5%
Other values (150) 174
64.9%
2024-04-18T06:16:55.173897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
8.5%
, 111
 
7.1%
담 76
 
4.9%
배 76
 
4.9%
전 61
 
3.9%
자 61
 
3.9%
스 47
 
3.0%
) 29
 
1.9%
( 29
 
1.9%
e 26
 
1.7%
Other values (214) 910
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 873
56.0%
Lowercase Letter 225
 
14.4%
Space Separator 133
 
8.5%
Other Punctuation 120
 
7.7%
Uppercase Letter 95
 
6.1%
Decimal Number 50
 
3.2%
Close Punctuation 30
 
1.9%
Open Punctuation 30
 
1.9%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 76
 
8.7%
배 76
 
8.7%
전 61
 
7.0%
자 61
 
7.0%
스 47
 
5.4%
위 21
 
2.4%
드 20
 
2.3%
니 20
 
2.3%
윙 18
 
2.1%
고 18
 
2.1%
Other values (147) 455
52.1%
Lowercase Letter
ValueCountFrequency (%)
e 26
11.6%
i 23
10.2%
g 22
 
9.8%
l 18
 
8.0%
n 15
 
6.7%
m 14
 
6.2%
t 14
 
6.2%
o 14
 
6.2%
h 13
 
5.8%
r 9
 
4.0%
Other values (14) 57
25.3%
Uppercase Letter
ValueCountFrequency (%)
O 14
14.7%
M 11
11.6%
E 8
 
8.4%
C 6
 
6.3%
L 6
 
6.3%
T 6
 
6.3%
K 5
 
5.3%
H 4
 
4.2%
R 4
 
4.2%
S 4
 
4.2%
Other values (14) 27
28.4%
Decimal Number
ValueCountFrequency (%)
5 12
24.0%
0 11
22.0%
1 9
18.0%
3 5
10.0%
2 4
 
8.0%
4 3
 
6.0%
9 3
 
6.0%
8 2
 
4.0%
6 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 111
92.5%
. 8
 
6.7%
: 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 29
96.7%
] 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 29
96.7%
[ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 873
56.0%
Common 366
23.5%
Latin 320
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 76
 
8.7%
배 76
 
8.7%
전 61
 
7.0%
자 61
 
7.0%
스 47
 
5.4%
위 21
 
2.4%
드 20
 
2.3%
니 20
 
2.3%
윙 18
 
2.1%
고 18
 
2.1%
Other values (147) 455
52.1%
Latin
ValueCountFrequency (%)
e 26
 
8.1%
i 23
 
7.2%
g 22
 
6.9%
l 18
 
5.6%
n 15
 
4.7%
m 14
 
4.4%
t 14
 
4.4%
O 14
 
4.4%
o 14
 
4.4%
h 13
 
4.1%
Other values (38) 147
45.9%
Common
ValueCountFrequency (%)
133
36.3%
, 111
30.3%
) 29
 
7.9%
( 29
 
7.9%
5 12
 
3.3%
0 11
 
3.0%
1 9
 
2.5%
. 8
 
2.2%
3 5
 
1.4%
2 4
 
1.1%
Other values (9) 15
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 873
56.0%
ASCII 686
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
19.4%
, 111
16.2%
) 29
 
4.2%
( 29
 
4.2%
e 26
 
3.8%
i 23
 
3.4%
g 22
 
3.2%
l 18
 
2.6%
n 15
 
2.2%
m 14
 
2.0%
Other values (57) 266
38.8%
Hangul
ValueCountFrequency (%)
담 76
 
8.7%
배 76
 
8.7%
전 61
 
7.0%
자 61
 
7.0%
스 47
 
5.4%
위 21
 
2.4%
드 20
 
2.3%
니 20
 
2.3%
윙 18
 
2.1%
고 18
 
2.1%
Other values (147) 455
52.1%

담배공급업체명
Text

Distinct103
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T06:16:55.386400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length46
Mean length10.867647
Min length1

Characters and Unicode

Total characters1478
Distinct characters227
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 (%)66.9%

Sample

1st row(주)한국전자담배
2nd row(주)스누스맨
3rd row액상코리아
4th row신라교역외
5th row우리담배판매 주식회사
ValueCountFrequency (%)
우리담배판매(주 13
 
6.3%
주)한국전자담배 10
 
4.9%
주식회사 7
 
3.4%
주)스누스코리아 5
 
2.4%
co 4
 
1.9%
technology 4
 
1.9%
shenzhen 4
 
1.9%
에바코 4
 
1.9%
주 3
 
1.5%
co.,ltd 3
 
1.5%
Other values (131) 149
72.3%
2024-04-18T06:16:55.775397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 97
 
6.6%
) 94
 
6.4%
( 93
 
6.3%
70
 
4.7%
리 62
 
4.2%
코 45
 
3.0%
담 38
 
2.6%
배 38
 
2.6%
아 34
 
2.3%
스 34
 
2.3%
Other values (217) 873
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
63.6%
Lowercase Letter 149
 
10.1%
Close Punctuation 94
 
6.4%
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
 
10.3%
리 62
 
6.6%
코 45
 
4.8%
담 38
 
4.0%
배 38
 
4.0%
아 34
 
3.6%
스 34
 
3.6%
사 24
 
2.6%
우 22
 
2.3%
한 19
 
2.0%
Other values (160) 527
56.1%
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%
D 4
 
4.8%
I 4
 
4.8%
R 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%
8 1
14.3%
3 1
14.3%
5 1
14.3%
0 1
14.3%
2 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 940
63.6%
Common 306
 
20.7%
Latin 232
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 97
 
10.3%
리 62
 
6.6%
코 45
 
4.8%
담 38
 
4.0%
배 38
 
4.0%
아 34
 
3.6%
스 34
 
3.6%
사 24
 
2.6%
우 22
 
2.3%
한 19
 
2.0%
Other values (160) 527
56.1%
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%
8 1
 
0.3%
3 1
 
0.3%
5 1
 
0.3%
Other values (5) 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
63.6%
ASCII 538
36.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 97
 
10.3%
리 62
 
6.6%
코 45
 
4.8%
담 38
 
4.0%
배 38
 
4.0%
아 34
 
3.6%
스 34
 
3.6%
사 24
 
2.6%
우 22
 
2.3%
한 19
 
2.0%
Other values (160) 527
56.1%
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 

Missing136
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>
12담배도매업11_43_01_P3250000201332500831550000320131128<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>600110부산광역시 중구 영주동 23번지 3호부산광역시 중구 대영로 235, 8층 823호 (영주동, 제일빌딩)600811스누스맨부산지사20131230173628I2018-08-31 23:59:59.0<NA>385585.321891181149.765236Megapole White 외 9개제품(주)스누스맨<NA>
23담배도매업11_43_01_P3250000201432500831550000120140508<NA>1영업/정상1정상영업<NA><NA><NA><NA>0512482161<NA>600016부산광역시 중구 중앙동6가 9번지 1호 광복지하상가 B41호부산광역시 중구 중앙대로 17, B41호 (중앙동6가, 광복지하상가)600016하카전자담배남포점20140630082933I2018-08-31 23:59:59.0<NA>385670.690943179770.553768액상코리아 액상 및 기기액상코리아<NA>
34담배도매업11_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>
45담배도매업11_43_01_P3270000200832700771550000120080121<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-466-5259<NA>601030부산광역시 동구 수정동 1164번지 4호부산광역시 동구 망양로735번길 6-1 (수정동)<NA>우리담배부산동구대리점20080514144219I2018-08-31 23:59:59.0<NA>385910.192416183089.005069위고,스윙우리담배판매 주식회사<NA>
56담배도매업11_43_01_P3270000201032700861550000120101021<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>601833부산광역시 동구 초량2동 811호 20통<NA><NA>루옌20101021144457I2018-08-31 23:59:59.0<NA><NA><NA>루옌전자담배(주)한국전자담배<NA>
67담배도매업11_43_01_P3270000201232700861550000120120926<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-463-7950<NA>601830부산광역시 동구 초량1동 577번지 1호 월드타운 315호부산광역시 동구 대영로243번길 43, 315호 (초량동, 월드타운)601830슈퍼캡 익스프레스 카고20120926102839I2018-08-31 23:59:59.0<NA>385735.110882181357.876941말보로, 호프, 555, 필립모리스 등슈퍼캡 익스프레스 카고<NA>
78담배도매업11_43_01_P3270000201432700861550000120141201<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>601806부산광역시 동구 범일동 631번지 5호부산광역시 동구 범일로 86 (범일동)601806대민상사20141201154239I2018-08-31 23:59:59.0<NA>387655.098332184008.221012M9801P주) 퍼프바(더 파이브)<NA>
89담배도매업11_43_01_P3280000200732800701550000120071203<NA>1영업/정상1정상영업<NA><NA><NA><NA>051 414 8926<NA>606802부산광역시 영도구 남항동2가 46번지 4호 2층부산광역시 영도구 남항로10번길 7 (남항동2가,2층)<NA>우리담배부산중구대리점20080107170251I2018-08-31 23:59:59.0<NA>385745.734084178605.05452위고, 스윙우리담배판매(주)<NA>
910담배도매업11_43_01_P3290000201032900851550000320101021<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-4234-0777<NA>614031부산광역시 부산진구 부전1동 573번지 1호 서면지하상가 E열11호부산광역시 부산진구 중앙대로 지하 717 (부전동)614850부산서면전자담배20141212164440I2018-08-31 23:59:59.0<NA>387618.822819186273.478853한국전자담배(주)한국전자담배<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)취급제품명담배공급업체명Unnamed: 30
126127담배도매업11_43_01_P3380000201133800621550000220110405<NA>3폐업3폐업처리20141211<NA><NA><NA>051-744-4477<NA>613816부산광역시 수영구 남천1동 74번지 41호부산광역시 수영구 수영로 403 (남천동)<NA>케마이어 코리아20141211092628I2018-08-31 23:59:59.0<NA>392031.539986184610.801577전자담배 및 액상제품Shenzhen Boge Technology Co.,Ltd. 중국<NA>
127128담배도매업11_43_01_P3380000201333800621550000120130425<NA>3폐업3폐업처리20140509<NA><NA><NA><NA><NA>613828부산광역시 수영구 민락동 162번지 5호부산광역시 수영구 광남로 212-2 (민락동)613828씨엔에스20140512171700I2018-08-31 23:59:59.0<NA>393269.543894186441.977215스누스(주)스누스코리아<NA>
128129담배도매업11_43_01_P3380000201433800711550000120140512<NA>3폐업3폐업처리20150122<NA><NA><NA>051-853-4141<NA>613828부산광역시 수영구 민락동 162번지 5호부산광역시 수영구 광남로 212-2 (민락동)613828스누스전자담배20150518093714I2018-08-31 23:59:59.0<NA>393269.543894186441.977215스누스(주)스누스코리아<NA>
129130담배도매업11_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>
130131담배도매업11_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>
131132담배도매업11_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>
132133담배도매업11_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>
133134담배도매업11_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>
134135담배도매업11_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>
135136담배도매업11_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>