Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells87891
Missing cells (%)29.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory265.0 B

Variable types

Numeric13
Categorical8
Text5
Unsupported3
DateTime1

Dataset

Description6270000_대구광역시_11_43_02_P_담배소매업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085944&dataSetDetailId=DDI_0000085981&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
상세영업상태코드 is highly imbalanced (53.1%)Imbalance
상세영업상태명 is highly imbalanced (53.1%)Imbalance
데이터갱신구분 is highly imbalanced (63.0%)Imbalance
인허가취소일자 has 8916 (89.2%) missing valuesMissing
폐업일자 has 3406 (34.1%) missing valuesMissing
휴업시작일자 has 9868 (98.7%) missing valuesMissing
휴업종료일자 has 9868 (98.7%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 2993 (29.9%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7534 (75.3%) missing valuesMissing
소재지전체주소 has 821 (8.2%) missing valuesMissing
도로명전체주소 has 1453 (14.5%) missing valuesMissing
도로명우편번호 has 7338 (73.4%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 1205 (12.0%) missing valuesMissing
좌표정보(Y) has 1205 (12.0%) missing valuesMissing
지정일자 has 3235 (32.4%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -43.14822013)Skewed
지정일자 is highly skewed (γ1 = -42.99008763)Skewed
번호 has unique valuesUnique
관리번호 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

Reproduction

Analysis started2024-04-21 11:36:26.676937
Analysis finished2024-04-21 11:36:29.529743
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15007.273
Minimum1
Maximum29871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:29.715571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1503.7
Q17505.75
median14973.5
Q322476
95-th percentile28505.2
Maximum29871
Range29870
Interquartile range (IQR)14970.25

Descriptive statistics

Standard deviation8639.1401
Coefficient of variation (CV)0.57566355
Kurtosis-1.1979216
Mean15007.273
Median Absolute Deviation (MAD)7482.5
Skewness-0.0045078354
Sum1.5007273 × 108
Variance74634741
MonotonicityNot monotonic
2024-04-21T20:36:30.144954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4232 1
 
< 0.1%
5529 1
 
< 0.1%
22452 1
 
< 0.1%
17451 1
 
< 0.1%
22867 1
 
< 0.1%
18991 1
 
< 0.1%
16728 1
 
< 0.1%
9560 1
 
< 0.1%
2118 1
 
< 0.1%
422 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
13 1
< 0.1%
16 1
< 0.1%
19 1
< 0.1%
21 1
< 0.1%
ValueCountFrequency (%)
29871 1
< 0.1%
29867 1
< 0.1%
29866 1
< 0.1%
29850 1
< 0.1%
29848 1
< 0.1%
29847 1
< 0.1%
29846 1
< 0.1%
29845 1
< 0.1%
29843 1
< 0.1%
29842 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담배소매업 10000
100.0%

Length

2024-04-21T20:36:30.555458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:30.841405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배소매업 10000
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
11_43_02_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_43_02_P
2nd row11_43_02_P
3rd row11_43_02_P
4th row11_43_02_P
5th row11_43_02_P

Common Values

ValueCountFrequency (%)
11_43_02_P 10000
100.0%

Length

2024-04-21T20:36:31.143389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:31.434055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_43_02_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448582
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:31.697153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation21133.716
Coefficient of variation (CV)0.0061282335
Kurtosis-1.0960805
Mean3448582
Median Absolute Deviation (MAD)20000
Skewness-0.32474481
Sum3.448582 × 1010
Variance4.4663394 × 108
MonotonicityNot monotonic
2024-04-21T20:36:32.063221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2156
21.6%
3450000 1771
17.7%
3460000 1482
14.8%
3420000 1279
12.8%
3430000 1000
10.0%
3440000 823
 
8.2%
3480000 772
 
7.7%
3410000 717
 
7.2%
ValueCountFrequency (%)
3410000 717
 
7.2%
3420000 1279
12.8%
3430000 1000
10.0%
3440000 823
 
8.2%
3450000 1771
17.7%
3460000 1482
14.8%
3470000 2156
21.6%
3480000 772
 
7.7%
ValueCountFrequency (%)
3480000 772
 
7.7%
3470000 2156
21.6%
3460000 1482
14.8%
3450000 1771
17.7%
3440000 823
 
8.2%
3430000 1000
10.0%
3420000 1279
12.8%
3410000 717
 
7.2%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T20:36:32.914363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters190000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row2000342000005625019
2nd row2003345001205600149
3rd row2001347001305600924
4th row2005346006805600032
5th row1998345001205603077
ValueCountFrequency (%)
2000342000005625019 1
 
< 0.1%
2015344010305600027 1
 
< 0.1%
2005346006805600068 1
 
< 0.1%
2009342009005600038 1
 
< 0.1%
2000347001305601615 1
 
< 0.1%
2008346010205600138 1
 
< 0.1%
2001347001305602452 1
 
< 0.1%
2009346010205600011 1
 
< 0.1%
2011345009905600111 1
 
< 0.1%
2017342013505600098 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T20:36:34.010696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 70415
37.1%
1 18675
 
9.8%
5 17941
 
9.4%
3 16152
 
8.5%
2 16037
 
8.4%
6 15438
 
8.1%
4 15121
 
8.0%
9 8077
 
4.3%
7 6832
 
3.6%
8 5216
 
2.7%
Other values (2) 96
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189904
99.9%
Dash Punctuation 95
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 70415
37.1%
1 18675
 
9.8%
5 17941
 
9.4%
3 16152
 
8.5%
2 16037
 
8.4%
6 15438
 
8.1%
4 15121
 
8.0%
9 8077
 
4.3%
7 6832
 
3.6%
8 5216
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 70415
37.1%
1 18675
 
9.8%
5 17941
 
9.4%
3 16152
 
8.5%
2 16037
 
8.4%
6 15438
 
8.1%
4 15121
 
8.0%
9 8077
 
4.3%
7 6832
 
3.6%
8 5216
 
2.7%
Other values (2) 96
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 70415
37.1%
1 18675
 
9.8%
5 17941
 
9.4%
3 16152
 
8.5%
2 16037
 
8.4%
6 15438
 
8.1%
4 15121
 
8.0%
9 8077
 
4.3%
7 6832
 
3.6%
8 5216
 
2.7%
Other values (2) 96
 
0.1%

인허가일자
Real number (ℝ)

SKEWED 

Distinct4962
Distinct (%)49.9%
Missing49
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20052942
Minimum9870101
Maximum20200828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:34.282975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9870101
5-th percentile19921106
Q120000822
median20050804
Q320111107
95-th percentile20180829
Maximum20200828
Range10330727
Interquartile range (IQR)110285

Descriptive statistics

Standard deviation161593.95
Coefficient of variation (CV)0.0080583662
Kurtosis2544.8267
Mean20052942
Median Absolute Deviation (MAD)59317
Skewness-43.14822
Sum1.9954682 × 1011
Variance2.6112604 × 1010
MonotonicityNot monotonic
2024-04-21T20:36:34.646919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19890302 53
 
0.5%
19981209 43
 
0.4%
19870101 37
 
0.4%
19981215 37
 
0.4%
19981207 32
 
0.3%
19981210 30
 
0.3%
19930101 29
 
0.3%
19780701 28
 
0.3%
19981214 28
 
0.3%
19981216 23
 
0.2%
Other values (4952) 9611
96.1%
(Missing) 49
 
0.5%
ValueCountFrequency (%)
9870101 1
 
< 0.1%
11111111 1
 
< 0.1%
16681202 1
 
< 0.1%
19620101 3
< 0.1%
19621113 2
< 0.1%
19640608 1
 
< 0.1%
19641024 1
 
< 0.1%
19670523 1
 
< 0.1%
19700119 1
 
< 0.1%
19730623 1
 
< 0.1%
ValueCountFrequency (%)
20200828 1
 
< 0.1%
20200827 1
 
< 0.1%
20200826 2
< 0.1%
20200820 2
< 0.1%
20200818 2
< 0.1%
20200813 1
 
< 0.1%
20200812 4
< 0.1%
20200811 1
 
< 0.1%
20200810 1
 
< 0.1%
20200805 1
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct431
Distinct (%)39.8%
Missing8916
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean20096530
Minimum19990316
Maximum20200721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:35.068199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990316
5-th percentile20011101
Q120041208
median20090130
Q320160144
95-th percentile20190828
Maximum20200721
Range210405
Interquartile range (IQR)118935.25

Descriptive statistics

Standard deviation59077.289
Coefficient of variation (CV)0.0029396762
Kurtosis-1.2168607
Mean20096530
Median Absolute Deviation (MAD)49814.5
Skewness0.24143569
Sum2.1784638 × 1010
Variance3.4901261 × 109
MonotonicityNot monotonic
2024-04-21T20:36:35.496689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180716 15
 
0.1%
20120227 15
 
0.1%
20160926 14
 
0.1%
20190828 14
 
0.1%
20020713 13
 
0.1%
20111226 12
 
0.1%
20061009 12
 
0.1%
20120910 11
 
0.1%
20020819 10
 
0.1%
20010711 10
 
0.1%
Other values (421) 958
 
9.6%
(Missing) 8916
89.2%
ValueCountFrequency (%)
19990316 1
 
< 0.1%
20000808 1
 
< 0.1%
20001030 3
< 0.1%
20001114 2
< 0.1%
20010131 1
 
< 0.1%
20010224 2
< 0.1%
20010503 2
< 0.1%
20010621 1
 
< 0.1%
20010626 2
< 0.1%
20010704 1
 
< 0.1%
ValueCountFrequency (%)
20200721 1
 
< 0.1%
20200709 5
0.1%
20200703 4
< 0.1%
20200521 1
 
< 0.1%
20200511 1
 
< 0.1%
20200331 1
 
< 0.1%
20200323 3
< 0.1%
20200320 1
 
< 0.1%
20200316 1
 
< 0.1%
20200130 1
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6594 
1
2263 
4
1140 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6594
65.9%
1 2263
 
22.6%
4 1140
 
11.4%
2 3
 
< 0.1%

Length

2024-04-21T20:36:35.896002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:36.203562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6594
65.9%
1 2263
 
22.6%
4 1140
 
11.4%
2 3
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6594 
영업/정상
2263 
취소/말소/만료/정지/중지
1140 
휴업
 
3

Length

Max length14
Median length2
Mean length4.0469
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6594
65.9%
영업/정상 2263
 
22.6%
취소/말소/만료/정지/중지 1140
 
11.4%
휴업 3
 
< 0.1%

Length

2024-04-21T20:36:36.563799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:36.882608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6594
65.9%
영업/정상 2263
 
22.6%
취소/말소/만료/정지/중지 1140
 
11.4%
휴업 3
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6594 
0
2214 
3
 
587
5
 
522
BBBB
 
49
Other values (3)
 
34

Length

Max length4
Median length1
Mean length1.0147
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row2
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
2 6594
65.9%
0 2214
 
22.1%
3 587
 
5.9%
5 522
 
5.2%
BBBB 49
 
0.5%
4 30
 
0.3%
1 3
 
< 0.1%
6 1
 
< 0.1%

Length

2024-04-21T20:36:37.257386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:37.598497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6594
65.9%
0 2214
 
22.1%
3 587
 
5.9%
5 522
 
5.2%
bbbb 49
 
0.5%
4 30
 
0.3%
1 3
 
< 0.1%
6 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업처리
6594 
정상영업
2214 
직권취소
 
587
지정취소
 
522
<NA>
 
49
Other values (3)
 
34

Length

Max length8
Median length4
Mean length4.012
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 6594
65.9%
정상영업 2214
 
22.1%
직권취소 587
 
5.9%
지정취소 522
 
5.2%
<NA> 49
 
0.5%
임시소매기간만료 30
 
0.3%
휴업처리 3
 
< 0.1%
영업정지 1
 
< 0.1%

Length

2024-04-21T20:36:38.010608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:38.367161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 6594
65.9%
정상영업 2214
 
22.1%
직권취소 587
 
5.9%
지정취소 522
 
5.2%
na 49
 
0.5%
임시소매기간만료 30
 
0.3%
휴업처리 3
 
< 0.1%
영업정지 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct3582
Distinct (%)54.3%
Missing3406
Missing (%)34.1%
Infinite0
Infinite (%)0.0%
Mean20091343
Minimum19820630
Maximum20200826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:38.760624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820630
5-th percentile20011205
Q120041125
median20081104
Q320131206
95-th percentile20190214
Maximum20200826
Range380196
Interquartile range (IQR)90080.5

Descriptive statistics

Standard deviation54804.147
Coefficient of variation (CV)0.0027277493
Kurtosis-0.94240091
Mean20091343
Median Absolute Deviation (MAD)40600.5
Skewness0.29272262
Sum1.3248231 × 1011
Variance3.0034945 × 109
MonotonicityNot monotonic
2024-04-21T20:36:39.209431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080408 32
 
0.3%
20080407 16
 
0.2%
20120706 10
 
0.1%
20031028 9
 
0.1%
20090915 9
 
0.1%
20050225 8
 
0.1%
20020508 7
 
0.1%
20100531 7
 
0.1%
20031001 7
 
0.1%
20060503 7
 
0.1%
Other values (3572) 6482
64.8%
(Missing) 3406
34.1%
ValueCountFrequency (%)
19820630 1
 
< 0.1%
19981116 1
 
< 0.1%
19981208 1
 
< 0.1%
19990128 1
 
< 0.1%
20000101 3
< 0.1%
20000106 1
 
< 0.1%
20000306 1
 
< 0.1%
20000403 1
 
< 0.1%
20000419 1
 
< 0.1%
20000508 1
 
< 0.1%
ValueCountFrequency (%)
20200826 1
< 0.1%
20200825 2
< 0.1%
20200824 2
< 0.1%
20200821 1
< 0.1%
20200814 1
< 0.1%
20200813 1
< 0.1%
20200812 2
< 0.1%
20200811 1
< 0.1%
20200807 1
< 0.1%
20200731 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)96.2%
Missing9868
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20107160
Minimum20001204
Maximum20200716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:39.644714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001204
5-th percentile20010468
Q120050973
median20120212
Q320160645
95-th percentile20190440
Maximum20200716
Range199512
Interquartile range (IQR)109672.25

Descriptive statistics

Standard deviation59069.688
Coefficient of variation (CV)0.002937744
Kurtosis-1.3258709
Mean20107160
Median Absolute Deviation (MAD)50047.5
Skewness-0.18298169
Sum2.6541451 × 109
Variance3.4892281 × 109
MonotonicityNot monotonic
2024-04-21T20:36:40.113601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140224 2
 
< 0.1%
20160404 2
 
< 0.1%
20161005 2
 
< 0.1%
20150126 2
 
< 0.1%
20170206 2
 
< 0.1%
20080923 1
 
< 0.1%
20050420 1
 
< 0.1%
20181216 1
 
< 0.1%
20040112 1
 
< 0.1%
20070206 1
 
< 0.1%
Other values (117) 117
 
1.2%
(Missing) 9868
98.7%
ValueCountFrequency (%)
20001204 1
< 0.1%
20010115 1
< 0.1%
20010130 1
< 0.1%
20010226 1
< 0.1%
20010403 1
< 0.1%
20010404 1
< 0.1%
20010411 1
< 0.1%
20010515 1
< 0.1%
20010525 1
< 0.1%
20010913 1
< 0.1%
ValueCountFrequency (%)
20200716 1
< 0.1%
20200511 1
< 0.1%
20200210 1
< 0.1%
20191203 1
< 0.1%
20191112 1
< 0.1%
20191014 1
< 0.1%
20190719 1
< 0.1%
20190212 1
< 0.1%
20190207 1
< 0.1%
20181217 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)93.9%
Missing9868
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20110793
Minimum20010103
Maximum20210715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:40.546664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010103
5-th percentile20010729
Q120058276
median20120570
Q320161104
95-th percentile20190539
Maximum20210715
Range200612
Interquartile range (IQR)102828.5

Descriptive statistics

Standard deviation59551.776
Coefficient of variation (CV)0.0029611848
Kurtosis-1.2554908
Mean20110793
Median Absolute Deviation (MAD)49793.5
Skewness-0.22453798
Sum2.6546247 × 109
Variance3.546414 × 109
MonotonicityNot monotonic
2024-04-21T20:36:40.998104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170125 2
 
< 0.1%
20160223 2
 
< 0.1%
20120630 2
 
< 0.1%
20041231 2
 
< 0.1%
20160503 2
 
< 0.1%
20161104 2
 
< 0.1%
20170305 2
 
< 0.1%
20090430 2
 
< 0.1%
20050519 1
 
< 0.1%
20190115 1
 
< 0.1%
Other values (114) 114
 
1.1%
(Missing) 9868
98.7%
ValueCountFrequency (%)
20010103 1
< 0.1%
20010213 1
< 0.1%
20010302 1
< 0.1%
20010327 1
< 0.1%
20010502 1
< 0.1%
20010623 1
< 0.1%
20010630 1
< 0.1%
20010810 1
< 0.1%
20010815 1
< 0.1%
20011012 1
< 0.1%
ValueCountFrequency (%)
20210715 1
< 0.1%
20210630 1
< 0.1%
20200731 1
< 0.1%
20200610 1
< 0.1%
20200309 1
< 0.1%
20191213 1
< 0.1%
20190818 1
< 0.1%
20190311 1
< 0.1%
20190221 1
< 0.1%
20190116 1
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전화
Text

MISSING 

Distinct6357
Distinct (%)90.7%
Missing2993
Missing (%)29.9%
Memory size156.2 KiB
2024-04-21T20:36:42.024838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length10.560725
Min length1

Characters and Unicode

Total characters73999
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5976 ?
Unique (%)85.3%

Sample

1st row053 9620058
2nd row053 9820357
3rd row053 6547269
4th row053-784-7933
5th row053 4217751
ValueCountFrequency (%)
053 4656
39.8%
31
 
0.3%
0 30
 
0.3%
053-742-2631 18
 
0.2%
7422631 17
 
0.1%
742-2631 8
 
0.1%
9410019 6
 
0.1%
9401351 5
 
< 0.1%
634 5
 
< 0.1%
0000000 5
 
< 0.1%
Other values (6450) 6930
59.2%
2024-04-21T20:36:43.464599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 12867
17.4%
3 11128
15.0%
0 9796
13.2%
6 5515
7.5%
2 5489
7.4%
4736
 
6.4%
7 4601
 
6.2%
4 4436
 
6.0%
1 4150
 
5.6%
8 4083
 
5.5%
Other values (6) 7198
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65947
89.1%
Space Separator 4736
 
6.4%
Dash Punctuation 3263
 
4.4%
Other Punctuation 29
 
< 0.1%
Close Punctuation 22
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12867
19.5%
3 11128
16.9%
0 9796
14.9%
6 5515
8.4%
2 5489
8.3%
7 4601
 
7.0%
4 4436
 
6.7%
1 4150
 
6.3%
8 4083
 
6.2%
9 3882
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 28
96.6%
, 1
 
3.4%
Space Separator
ValueCountFrequency (%)
4736
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 12867
17.4%
3 11128
15.0%
0 9796
13.2%
6 5515
7.5%
2 5489
7.4%
4736
 
6.4%
7 4601
 
6.2%
4 4436
 
6.0%
1 4150
 
5.6%
8 4083
 
5.5%
Other values (6) 7198
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 12867
17.4%
3 11128
15.0%
0 9796
13.2%
6 5515
7.5%
2 5489
7.4%
4736
 
6.4%
7 4601
 
6.2%
4 4436
 
6.0%
1 4150
 
5.6%
8 4083
 
5.5%
Other values (6) 7198
9.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING 

Distinct618
Distinct (%)25.1%
Missing7534
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean700886.4
Minimum0
Maximum711892
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:43.871957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700412
Q1702072
median704130
Q3706011
95-th percentile711822.75
Maximum711892
Range711892
Interquartile range (IQR)3939

Descriptive statistics

Standard deviation49108.009
Coefficient of variation (CV)0.070065576
Kurtosis199.48614
Mean700886.4
Median Absolute Deviation (MAD)1890
Skewness-14.163264
Sum1.7283859 × 109
Variance2.4115966 × 109
MonotonicityNot monotonic
2024-04-21T20:36:44.310261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704060 31
 
0.3%
704360 30
 
0.3%
704340 30
 
0.3%
706170 29
 
0.3%
704370 27
 
0.3%
704140 27
 
0.3%
700440 26
 
0.3%
704130 25
 
0.2%
704230 25
 
0.2%
706020 24
 
0.2%
Other values (608) 2192
 
21.9%
(Missing) 7534
75.3%
ValueCountFrequency (%)
0 12
0.1%
700010 4
 
< 0.1%
700020 4
 
< 0.1%
700040 2
 
< 0.1%
700050 1
 
< 0.1%
700060 1
 
< 0.1%
700070 9
0.1%
700081 1
 
< 0.1%
700082 5
0.1%
700091 1
 
< 0.1%
ValueCountFrequency (%)
711892 3
 
< 0.1%
711891 16
0.2%
711883 1
 
< 0.1%
711882 1
 
< 0.1%
711881 1
 
< 0.1%
711880 1
 
< 0.1%
711874 3
 
< 0.1%
711873 6
 
0.1%
711872 5
 
0.1%
711871 2
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct8573
Distinct (%)93.4%
Missing821
Missing (%)8.2%
Memory size156.2 KiB
2024-04-21T20:36:45.816139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length24.84628
Min length1

Characters and Unicode

Total characters228064
Distinct characters450
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8054 ?
Unique (%)87.7%

Sample

1st row대구광역시 동구 신기동 179번지 5 호
2nd row대구광역시 북구 연경동 683호
3rd row대구광역시 달서구 송현동 2011번지 9호
4th row대구광역시 수성구 지산동 1210호
5th row대구광역시 북구 칠성동2가 302-105호
ValueCountFrequency (%)
대구광역시 9171
 
18.9%
달서구 1827
 
3.8%
북구 1571
 
3.2%
수성구 1459
 
3.0%
호 1438
 
3.0%
동구 1181
 
2.4%
서구 992
 
2.0%
1호 871
 
1.8%
남구 820
 
1.7%
달성군 681
 
1.4%
Other values (5406) 28598
58.8%
2024-04-21T20:36:47.571793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50716
22.2%
구 17934
 
7.9%
1 11007
 
4.8%
대 10299
 
4.5%
동 10183
 
4.5%
시 9339
 
4.1%
역 9219
 
4.0%
광 9193
 
4.0%
호 9100
 
4.0%
지 7908
 
3.5%
Other values (440) 83166
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130882
57.4%
Space Separator 50716
 
22.2%
Decimal Number 44956
 
19.7%
Dash Punctuation 969
 
0.4%
Uppercase Letter 217
 
0.1%
Other Punctuation 181
 
0.1%
Open Punctuation 57
 
< 0.1%
Close Punctuation 55
 
< 0.1%
Math Symbol 16
 
< 0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17934
13.7%
대 10299
 
7.9%
동 10183
 
7.8%
시 9339
 
7.1%
역 9219
 
7.0%
광 9193
 
7.0%
호 9100
 
7.0%
지 7908
 
6.0%
번 7277
 
5.6%
서 3103
 
2.4%
Other values (390) 37327
28.5%
Uppercase Letter
ValueCountFrequency (%)
B 60
27.6%
A 47
21.7%
L 20
 
9.2%
T 13
 
6.0%
P 10
 
4.6%
E 9
 
4.1%
K 9
 
4.1%
S 8
 
3.7%
D 8
 
3.7%
C 7
 
3.2%
Other values (13) 26
12.0%
Decimal Number
ValueCountFrequency (%)
1 11007
24.5%
2 5553
12.4%
3 4547
10.1%
0 4162
 
9.3%
4 3889
 
8.7%
5 3652
 
8.1%
6 3223
 
7.2%
7 3104
 
6.9%
9 2921
 
6.5%
8 2898
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
60.0%
w 1
 
6.7%
o 1
 
6.7%
h 1
 
6.7%
s 1
 
6.7%
k 1
 
6.7%
a 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 109
60.2%
. 46
25.4%
/ 23
 
12.7%
@ 2
 
1.1%
？ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
50716
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 969
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130882
57.4%
Common 96950
42.5%
Latin 232
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17934
13.7%
대 10299
 
7.9%
동 10183
 
7.8%
시 9339
 
7.1%
역 9219
 
7.0%
광 9193
 
7.0%
호 9100
 
7.0%
지 7908
 
6.0%
번 7277
 
5.6%
서 3103
 
2.4%
Other values (390) 37327
28.5%
Latin
ValueCountFrequency (%)
B 60
25.9%
A 47
20.3%
L 20
 
8.6%
T 13
 
5.6%
P 10
 
4.3%
E 9
 
3.9%
K 9
 
3.9%
e 9
 
3.9%
S 8
 
3.4%
D 8
 
3.4%
Other values (20) 39
16.8%
Common
ValueCountFrequency (%)
50716
52.3%
1 11007
 
11.4%
2 5553
 
5.7%
3 4547
 
4.7%
0 4162
 
4.3%
4 3889
 
4.0%
5 3652
 
3.8%
6 3223
 
3.3%
7 3104
 
3.2%
9 2921
 
3.0%
Other values (10) 4176
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130882
57.4%
ASCII 97181
42.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50716
52.2%
1 11007
 
11.3%
2 5553
 
5.7%
3 4547
 
4.7%
0 4162
 
4.3%
4 3889
 
4.0%
5 3652
 
3.8%
6 3223
 
3.3%
7 3104
 
3.2%
9 2921
 
3.0%
Other values (39) 4407
 
4.5%
Hangul
ValueCountFrequency (%)
구 17934
13.7%
대 10299
 
7.9%
동 10183
 
7.8%
시 9339
 
7.1%
역 9219
 
7.0%
광 9193
 
7.0%
호 9100
 
7.0%
지 7908
 
6.0%
번 7277
 
5.6%
서 3103
 
2.4%
Other values (390) 37327
28.5%
None
ValueCountFrequency (%)
？ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct7061
Distinct (%)82.6%
Missing1453
Missing (%)14.5%
Memory size156.2 KiB
2024-04-21T20:36:49.012827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length58
Mean length27.009594
Min length16

Characters and Unicode

Total characters230851
Distinct characters478
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5931 ?
Unique (%)69.4%

Sample

1st row대구광역시 동구 반야월로 140 (신기동)
2nd row대구광역시 달서구 중흥로 57 (송현동)
3rd row대구광역시 수성구 용학로48길 17 (지산동)
4th row대구광역시 서구 국채보상로67안길 26 (비산동)
5th row대구광역시 달서구 야외음악당로 5 (성당동)
ValueCountFrequency (%)
대구광역시 8545
 
18.4%
달서구 2061
 
4.4%
수성구 1363
 
2.9%
북구 1236
 
2.7%
동구 1128
 
2.4%
서구 848
 
1.8%
남구 701
 
1.5%
1층 653
 
1.4%
중구 632
 
1.4%
달성군 558
 
1.2%
Other values (5490) 28627
61.8%
2024-04-21T20:36:50.949878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37847
 
16.4%
구 17745
 
7.7%
대 11172
 
4.8%
동 11017
 
4.8%
1 8892
 
3.9%
시 8770
 
3.8%
역 8637
 
3.7%
광 8571
 
3.7%
로 8311
 
3.6%
) 8113
 
3.5%
Other values (468) 101776
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137077
59.4%
Space Separator 37847
 
16.4%
Decimal Number 35252
 
15.3%
Close Punctuation 8113
 
3.5%
Open Punctuation 8112
 
3.5%
Other Punctuation 2988
 
1.3%
Dash Punctuation 1201
 
0.5%
Uppercase Letter 215
 
0.1%
Math Symbol 32
 
< 0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17745
 
12.9%
대 11172
 
8.2%
동 11017
 
8.0%
시 8770
 
6.4%
역 8637
 
6.3%
광 8571
 
6.3%
로 8311
 
6.1%
길 4200
 
3.1%
서 4039
 
2.9%
달 3525
 
2.6%
Other values (418) 51090
37.3%
Uppercase Letter
ValueCountFrequency (%)
B 57
26.5%
A 51
23.7%
T 13
 
6.0%
C 13
 
6.0%
K 12
 
5.6%
S 9
 
4.2%
D 8
 
3.7%
E 8
 
3.7%
L 8
 
3.7%
P 6
 
2.8%
Other values (13) 30
14.0%
Decimal Number
ValueCountFrequency (%)
1 8892
25.2%
2 4899
13.9%
3 3993
11.3%
0 3296
 
9.3%
4 2915
 
8.3%
5 2783
 
7.9%
6 2511
 
7.1%
7 2176
 
6.2%
8 1947
 
5.5%
9 1840
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 2944
98.5%
. 25
 
0.8%
/ 14
 
0.5%
@ 2
 
0.1%
· 2
 
0.1%
？ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
64.3%
a 1
 
7.1%
w 1
 
7.1%
o 1
 
7.1%
h 1
 
7.1%
s 1
 
7.1%
Space Separator
ValueCountFrequency (%)
37847
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1201
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137077
59.4%
Common 93545
40.5%
Latin 229
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17745
 
12.9%
대 11172
 
8.2%
동 11017
 
8.0%
시 8770
 
6.4%
역 8637
 
6.3%
광 8571
 
6.3%
로 8311
 
6.1%
길 4200
 
3.1%
서 4039
 
2.9%
달 3525
 
2.6%
Other values (418) 51090
37.3%
Latin
ValueCountFrequency (%)
B 57
24.9%
A 51
22.3%
T 13
 
5.7%
C 13
 
5.7%
K 12
 
5.2%
S 9
 
3.9%
e 9
 
3.9%
D 8
 
3.5%
E 8
 
3.5%
L 8
 
3.5%
Other values (19) 41
17.9%
Common
ValueCountFrequency (%)
37847
40.5%
1 8892
 
9.5%
) 8113
 
8.7%
( 8112
 
8.7%
2 4899
 
5.2%
3 3993
 
4.3%
0 3296
 
3.5%
, 2944
 
3.1%
4 2915
 
3.1%
5 2783
 
3.0%
Other values (11) 9751
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137077
59.4%
ASCII 93771
40.6%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37847
40.4%
1 8892
 
9.5%
) 8113
 
8.7%
( 8112
 
8.7%
2 4899
 
5.2%
3 3993
 
4.3%
0 3296
 
3.5%
, 2944
 
3.1%
4 2915
 
3.1%
5 2783
 
3.0%
Other values (38) 9977
 
10.6%
Hangul
ValueCountFrequency (%)
구 17745
 
12.9%
대 11172
 
8.2%
동 11017
 
8.0%
시 8770
 
6.4%
역 8637
 
6.3%
광 8571
 
6.3%
로 8311
 
6.1%
길 4200
 
3.1%
서 4039
 
2.9%
달 3525
 
2.6%
Other values (418) 51090
37.3%
None
ValueCountFrequency (%)
· 2
66.7%
？ 1
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1327
Distinct (%)49.8%
Missing7338
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean335222.41
Minimum41002
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:51.345001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41155.1
Q142027.25
median42923.5
Q3703830
95-th percentile706837.95
Maximum711893
Range670891
Interquartile range (IQR)661802.75

Descriptive statistics

Standard deviation329062.03
Coefficient of variation (CV)0.98162302
Kurtosis-1.9476443
Mean335222.41
Median Absolute Deviation (MAD)1740.5
Skewness0.23166612
Sum8.9236205 × 108
Variance1.0828182 × 1011
MonotonicityNot monotonic
2024-04-21T20:36:51.773784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704220 12
 
0.1%
43014 12
 
0.1%
42609 11
 
0.1%
706220 11
 
0.1%
706170 10
 
0.1%
42930 9
 
0.1%
711815 9
 
0.1%
704370 9
 
0.1%
704900 8
 
0.1%
43008 8
 
0.1%
Other values (1317) 2563
 
25.6%
(Missing) 7338
73.4%
ValueCountFrequency (%)
41002 1
< 0.1%
41003 2
< 0.1%
41005 1
< 0.1%
41007 2
< 0.1%
41015 1
< 0.1%
41017 1
< 0.1%
41021 1
< 0.1%
41022 1
< 0.1%
41023 1
< 0.1%
41025 1
< 0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711891 5
0.1%
711890 3
< 0.1%
711882 2
 
< 0.1%
711881 1
 
< 0.1%
711880 2
 
< 0.1%
711874 1
 
< 0.1%
711873 6
0.1%
711871 1
 
< 0.1%
711870 2
 
< 0.1%

사업장명
Text

Distinct7363
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T20:36:52.964786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length6.0517
Min length1

Characters and Unicode

Total characters60517
Distinct characters792
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6412 ?
Unique (%)64.1%

Sample

1st row제일기업사
2nd row잡화
3rd row동부유통
4th row신우유통목련점
5th row엘리트문구
ValueCountFrequency (%)
씨유 169
 
1.4%
세븐일레븐 147
 
1.3%
gs25 135
 
1.2%
신우유통 125
 
1.1%
홈마트 101
 
0.9%
가게 98
 
0.8%
대백마트 71
 
0.6%
이마트24 64
 
0.5%
무 62
 
0.5%
훼미리마트 56
 
0.5%
Other values (7449) 10688
91.2%
2024-04-21T20:36:54.607630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 2639
 
4.4%
마 2637
 
4.4%
점 2497
 
4.1%
1735
 
2.9%
대 1641
 
2.7%
퍼 1403
 
2.3%
구 1278
 
2.1%
슈 1059
 
1.7%
유 943
 
1.6%
인 874
 
1.4%
Other values (782) 43811
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54383
89.9%
Space Separator 1735
 
2.9%
Decimal Number 1448
 
2.4%
Uppercase Letter 1383
 
2.3%
Open Punctuation 593
 
1.0%
Close Punctuation 591
 
1.0%
Lowercase Letter 218
 
0.4%
Dash Punctuation 81
 
0.1%
Other Punctuation 79
 
0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 2639
 
4.9%
마 2637
 
4.8%
점 2497
 
4.6%
대 1641
 
3.0%
퍼 1403
 
2.6%
구 1278
 
2.3%
슈 1059
 
1.9%
유 943
 
1.7%
인 874
 
1.6%
스 808
 
1.5%
Other values (710) 38604
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 379
27.4%
G 346
25.0%
K 111
 
8.0%
C 100
 
7.2%
L 64
 
4.6%
O 60
 
4.3%
A 46
 
3.3%
U 36
 
2.6%
M 33
 
2.4%
T 31
 
2.2%
Other values (15) 177
12.8%
Lowercase Letter
ValueCountFrequency (%)
e 43
19.7%
y 17
 
7.8%
o 16
 
7.3%
s 16
 
7.3%
r 14
 
6.4%
a 14
 
6.4%
t 13
 
6.0%
i 12
 
5.5%
u 10
 
4.6%
m 10
 
4.6%
Other values (11) 53
24.3%
Decimal Number
ValueCountFrequency (%)
2 634
43.8%
5 412
28.5%
4 186
 
12.8%
1 61
 
4.2%
0 59
 
4.1%
3 40
 
2.8%
7 28
 
1.9%
6 14
 
1.0%
9 7
 
0.5%
8 7
 
0.5%
Other Punctuation
ValueCountFrequency (%)
& 30
38.0%
. 24
30.4%
, 12
 
15.2%
' 5
 
6.3%
/ 3
 
3.8%
？ 2
 
2.5%
" 2
 
2.5%
· 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
1735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 591
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54384
89.9%
Common 4531
 
7.5%
Latin 1601
 
2.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 2639
 
4.9%
마 2637
 
4.8%
점 2497
 
4.6%
대 1641
 
3.0%
퍼 1403
 
2.6%
구 1278
 
2.3%
슈 1059
 
1.9%
유 943
 
1.7%
인 874
 
1.6%
스 808
 
1.5%
Other values (710) 38605
71.0%
Latin
ValueCountFrequency (%)
S 379
23.7%
G 346
21.6%
K 111
 
6.9%
C 100
 
6.2%
L 64
 
4.0%
O 60
 
3.7%
A 46
 
2.9%
e 43
 
2.7%
U 36
 
2.2%
M 33
 
2.1%
Other values (36) 383
23.9%
Common
ValueCountFrequency (%)
1735
38.3%
2 634
 
14.0%
( 593
 
13.1%
) 591
 
13.0%
5 412
 
9.1%
4 186
 
4.1%
- 81
 
1.8%
1 61
 
1.3%
0 59
 
1.3%
3 40
 
0.9%
Other values (15) 139
 
3.1%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54377
89.9%
ASCII 6129
 
10.1%
Compat Jamo 5
 
< 0.1%
None 5
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 2639
 
4.9%
마 2637
 
4.8%
점 2497
 
4.6%
대 1641
 
3.0%
퍼 1403
 
2.6%
구 1278
 
2.4%
슈 1059
 
1.9%
유 943
 
1.7%
인 874
 
1.6%
스 808
 
1.5%
Other values (708) 38598
71.0%
ASCII
ValueCountFrequency (%)
1735
28.3%
2 634
 
10.3%
( 593
 
9.7%
) 591
 
9.6%
5 412
 
6.7%
S 379
 
6.2%
G 346
 
5.6%
4 186
 
3.0%
K 111
 
1.8%
C 100
 
1.6%
Other values (59) 1042
17.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 5
100.0%
None
ValueCountFrequency (%)
？ 2
40.0%
㈜ 2
40.0%
· 1
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct6766
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0117533 × 1013
Minimum2.0070702 × 1013
Maximum2.0200828 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:54.859269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070702 × 1013
5-th percentile2.0080223 × 1013
Q12.0080223 × 1013
median2.0100526 × 1013
Q32.015111 × 1013
95-th percentile2.019093 × 1013
Maximum2.0200828 × 1013
Range1.3012601 × 1011
Interquartile range (IQR)7.0886643 × 1010

Descriptive statistics

Standard deviation4.162412 × 1010
Coefficient of variation (CV)0.0020690469
Kurtosis-1.1090718
Mean2.0117533 × 1013
Median Absolute Deviation (MAD)2.0302664 × 1010
Skewness0.62349894
Sum2.0117533 × 1017
Variance1.7325674 × 1021
MonotonicityNot monotonic
2024-04-21T20:36:55.146900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080223000000 3235
32.4%
20070913102354 1
 
< 0.1%
20120523180958 1
 
< 0.1%
20200417175747 1
 
< 0.1%
20131024113636 1
 
< 0.1%
20080623092925 1
 
< 0.1%
20081124155717 1
 
< 0.1%
20090915155235 1
 
< 0.1%
20070814094451 1
 
< 0.1%
20160712155859 1
 
< 0.1%
Other values (6756) 6756
67.6%
ValueCountFrequency (%)
20070702155127 1
< 0.1%
20070704174418 1
< 0.1%
20070705102606 1
< 0.1%
20070709112323 1
< 0.1%
20070709160149 1
< 0.1%
20070712093533 1
< 0.1%
20070712133951 1
< 0.1%
20070716163144 1
< 0.1%
20070718115617 1
< 0.1%
20070720161715 1
< 0.1%
ValueCountFrequency (%)
20200828164034 1
< 0.1%
20200827162938 1
< 0.1%
20200826183040 1
< 0.1%
20200826165032 1
< 0.1%
20200826121842 1
< 0.1%
20200825200300 1
< 0.1%
20200825200148 1
< 0.1%
20200824164357 1
< 0.1%
20200824112658 1
< 0.1%
20200821162950 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9289 
U
 
711

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 9289
92.9%
U 711
 
7.1%

Length

2024-04-21T20:36:55.381148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:55.538846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9289
92.9%
u 711
 
7.1%

데이터갱신일자
Date

Distinct565
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-08-30 00:23:13
2024-04-21T20:36:55.722944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:36:55.966632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6392
Distinct (%)72.7%
Missing1205
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean342528.95
Minimum193044.58
Maximum358163.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:56.215700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193044.58
5-th percentile333782.88
Q1339394.21
median342312.9
Q3346153.79
95-th percentile353234.72
Maximum358163.69
Range165119.11
Interquartile range (IQR)6759.5855

Descriptive statistics

Standard deviation6146.9046
Coefficient of variation (CV)0.01794565
Kurtosis85.337609
Mean342528.95
Median Absolute Deviation (MAD)3376.7591
Skewness-4.172398
Sum3.0125421 × 109
Variance37784436
MonotonicityNot monotonic
2024-04-21T20:36:56.463189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344912.358902 10
 
0.1%
347950.194975 9
 
0.1%
340424.925495 8
 
0.1%
344047.164924 8
 
0.1%
335406.606797 8
 
0.1%
348506.42252 8
 
0.1%
334461.497981 7
 
0.1%
341301.554735 7
 
0.1%
343728.419 7
 
0.1%
347837.23497 7
 
0.1%
Other values (6382) 8716
87.2%
(Missing) 1205
 
12.0%
ValueCountFrequency (%)
193044.584006373 1
< 0.1%
199982.140328263 1
< 0.1%
271909.194454 1
< 0.1%
271947.36774 1
< 0.1%
272011.409109 1
< 0.1%
272109.126923 2
< 0.1%
272303.596208 1
< 0.1%
272347.671698 1
< 0.1%
324710.878297 1
< 0.1%
325831.391262 1
< 0.1%
ValueCountFrequency (%)
358163.689112 1
< 0.1%
358014.83602 1
< 0.1%
357933.237729 1
< 0.1%
357916.122672 1
< 0.1%
357881.329153 1
< 0.1%
357805.494255 1
< 0.1%
357737.102963 1
< 0.1%
357646.727978 1
< 0.1%
356963.492594 1
< 0.1%
356698.367083 2
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6399
Distinct (%)72.8%
Missing1205
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean263332.74
Minimum237066.75
Maximum453723.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:56.718130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237066.75
5-th percentile257435.14
Q1261185.63
median263266.45
Q3265423.42
95-th percentile270823.62
Maximum453723.4
Range216656.65
Interquartile range (IQR)4237.7828

Descriptive statistics

Standard deviation6391.2491
Coefficient of variation (CV)0.024270621
Kurtosis281.08038
Mean263332.74
Median Absolute Deviation (MAD)2116.7834
Skewness10.989555
Sum2.3160114 × 109
Variance40848064
MonotonicityNot monotonic
2024-04-21T20:36:56.963667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268253.830253 10
 
0.1%
265687.62574 9
 
0.1%
263837.312984 8
 
0.1%
259488.824789 8
 
0.1%
265132.987974 8
 
0.1%
265096.938734 8
 
0.1%
262585.135012 7
 
0.1%
263378.345914 7
 
0.1%
265773.314268 7
 
0.1%
264018.87607 7
 
0.1%
Other values (6389) 8716
87.2%
(Missing) 1205
 
12.0%
ValueCountFrequency (%)
237066.746717 1
< 0.1%
238029.007127 1
< 0.1%
238040.292166 1
< 0.1%
238428.067485 1
< 0.1%
238435.730496 2
< 0.1%
238694.839855 1
< 0.1%
238781.262726 1
< 0.1%
238803.951945 1
< 0.1%
238824.022585 1
< 0.1%
238928.446986 1
< 0.1%
ValueCountFrequency (%)
453723.397421668 1
< 0.1%
450897.642325111 1
< 0.1%
386130.616358 1
< 0.1%
386122.891273 1
< 0.1%
386085.608494 1
< 0.1%
385920.845944 1
< 0.1%
385675.458397 2
< 0.1%
385553.059418 1
< 0.1%
279130.236916 1
< 0.1%
278407.765872 1
< 0.1%

지정일자
Real number (ℝ)

MISSING  SKEWED 

Distinct3901
Distinct (%)57.7%
Missing3235
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean20079074
Minimum9870101
Maximum20200828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T20:36:57.210763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9870101
5-th percentile19930908
Q120040719
median20090330
Q320140919
95-th percentile20190430
Maximum20200828
Range10330727
Interquartile range (IQR)100200

Descriptive statistics

Standard deviation183236.87
Coefficient of variation (CV)0.0091257629
Kurtosis2271.9686
Mean20079074
Median Absolute Deviation (MAD)50100
Skewness-42.990088
Sum1.3583494 × 1011
Variance3.357575 × 1010
MonotonicityNot monotonic
2024-04-21T20:36:57.576476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19890302 37
 
0.4%
20000101 18
 
0.2%
19780701 16
 
0.2%
19930101 15
 
0.1%
19870101 13
 
0.1%
19981215 12
 
0.1%
19981209 12
 
0.1%
19981208 11
 
0.1%
19981201 9
 
0.1%
19981214 9
 
0.1%
Other values (3891) 6613
66.1%
(Missing) 3235
32.4%
ValueCountFrequency (%)
9870101 1
 
< 0.1%
11111111 1
 
< 0.1%
19620101 3
< 0.1%
19621113 2
< 0.1%
19640608 1
 
< 0.1%
19641024 1
 
< 0.1%
19670523 1
 
< 0.1%
19700119 1
 
< 0.1%
19730623 1
 
< 0.1%
19730627 1
 
< 0.1%
ValueCountFrequency (%)
20200828 1
 
< 0.1%
20200827 1
 
< 0.1%
20200826 2
< 0.1%
20200820 2
< 0.1%
20200818 2
< 0.1%
20200813 1
 
< 0.1%
20200812 4
< 0.1%
20200811 1
 
< 0.1%
20200810 1
 
< 0.1%
20200805 1
 
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2009년11월법개정전자료
3530 
<NA>
3235 
제7조의3제2항에따른경우
2715 
제7조의3제3항에따른경우
520 

Length

Max length14
Median length13
Mean length10.4415
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009년11월법개정전자료
2nd row2009년11월법개정전자료
3rd row<NA>
4th row2009년11월법개정전자료
5th row<NA>

Common Values

ValueCountFrequency (%)
2009년11월법개정전자료 3530
35.3%
<NA> 3235
32.4%
제7조의3제2항에따른경우 2715
27.2%
제7조의3제3항에따른경우 520
 
5.2%

Length

2024-04-21T20:36:58.006224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:36:58.540775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009년11월법개정전자료 3530
35.3%
na 3235
32.4%
제7조의3제2항에따른경우 2715
27.2%
제7조의3제3항에따른경우 520
 
5.2%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
42314232담배소매업11_43_02_P3420000200034200000562501919800701<NA>3폐업2폐업처리20070913<NA><NA><NA>053 9620058<NA><NA>대구광역시 동구 신기동 179번지 5 호대구광역시 동구 반야월로 140 (신기동)<NA>제일기업사20070913102354I2018-08-31 23:59:59.0<NA>353801.856271264973.5831198007012009년11월법개정전자료
1360313604담배소매업11_43_02_P3450000200334500120560014920030611<NA>3폐업2폐업처리20090915<NA><NA><NA>053 9820357<NA><NA>대구광역시 북구 연경동 683호<NA><NA>잡화20090915160109I2018-08-31 23:59:59.0<NA>345675.860606272888.471066200306112009년11월법개정전자료
2362623627담배소매업11_43_02_P3470000200134700130560092420010416<NA>3폐업2폐업처리20061113<NA><NA><NA>053 6547269<NA><NA>대구광역시 달서구 송현동 2011번지 9호대구광역시 달서구 중흥로 57 (송현동)<NA>동부유통20080223000000I2018-08-31 23:59:59.0<NA>340727.760722259931.600546<NA><NA>
2094020941담배소매업11_43_02_P3460000200534600680560003220050302<NA>1영업/정상0정상영업<NA><NA><NA><NA>053-784-7933<NA><NA>대구광역시 수성구 지산동 1210호대구광역시 수성구 용학로48길 17 (지산동)<NA>신우유통목련점20080617134636I2018-08-31 23:59:59.0<NA>347734.636974258960.878256200503022009년11월법개정전자료
1239612397담배소매업11_43_02_P3450000199834500120560307719981207<NA>1영업/정상0정상영업<NA><NA><NA><NA>053 4217751<NA><NA>대구광역시 북구 칠성동2가 302-105호<NA><NA>엘리트문구20080223000000I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
67096710담배소매업11_43_02_P3430000199834300100560020219981204<NA>3폐업2폐업처리20090915<NA><NA><NA><NA><NA><NA>대구광역시 서구 비산동 375번지 3 호대구광역시 서구 국채보상로67안길 26 (비산동)<NA>미니슈퍼20090915155422I2018-08-31 23:59:59.0<NA>341691.51041264767.032711199812042009년11월법개정전자료
2279922800담배소매업11_43_02_P34700002000347001305600207<NA><NA>3폐업2폐업처리20060605<NA><NA><NA>053 6218490<NA><NA>대구광역시 달서구 성당동 830호대구광역시 달서구 야외음악당로 5 (성당동)<NA>없음20080223000000I2018-08-31 23:59:59.0<NA>340214.043975260854.219657<NA><NA>
57005701담배소매업11_43_02_P3420000200034200000562203819890628<NA>1영업/정상0정상영업<NA><NA><NA><NA>053 7446734<NA><NA>대구광역시 동구 신천동 172번지 2호대구광역시 동구 송라로6길 12 (신천동)<NA>-20150322213522I2018-08-31 23:59:59.0<NA>346340.725438264579.341182198906282009년11월법개정전자료
1582715828담배소매업11_43_02_P3450000199934500120561000619990109<NA>3폐업2폐업처리20031217<NA><NA><NA>053 9538186<NA><NA>대구광역시 북구 노원동3가 414호<NA><NA>미도슈퍼20080223000000I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
536537담배소매업11_43_02_P3410000200134100130561116220011115<NA>3폐업2폐업처리20020604<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 382번지 2호대구광역시 중구 국채보상로 734 (동인동4가)<NA>복권대박20080223000000I2018-08-31 23:59:59.0<NA>345404.198362264327.431939<NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
2500125002담배소매업11_43_02_P3470000200434700750560012620040520<NA>3폐업2폐업처리20041215<NA><NA><NA>053 6566855<NA><NA>대구광역시 달서구 송현동 1907번지 10호대구광역시 달서구 송현로16길 87 (송현동)<NA>하나로마트20080223000000I2018-08-31 23:59:59.0<NA>339615.099613259743.439092<NA><NA>
2507225073담배소매업11_43_02_P3470000200534700750560003320050207<NA>3폐업2폐업처리20050418<NA><NA><NA>053 6313242<NA><NA>대구광역시 달서구 진천동 42번지 2호대구광역시 달서구 월배로 161 (진천동)<NA>서민돼지국밥20080223000000I2018-08-31 23:59:59.0<NA>338334.47153258491.735594<NA><NA>
2828628287담배소매업11_43_02_P3480000201134803120560000220110906<NA>3폐업2폐업처리20140422<NA><NA><NA>6365678<NA>711838대구광역시 달성군 화원읍 본리리 110번지 6호 화원주차장빌딩(PKB-104,105,106)대구광역시 달성군 화원읍 성암로1길 69 (화원주차장빌딩(PKB-104,105,106))<NA>홈마트 화원점20140422083016I2018-08-31 23:59:59.0<NA>336368.768826256849.68297220110906제7조의3제3항에따른경우
14661467담배소매업11_43_02_P3410000199334100460560032919930101<NA>3폐업2폐업처리20060830<NA><NA><NA>053 2522755<NA><NA>대구광역시 중구 남산동 464호대구광역시 중구 달구벌대로414길 16-18 (남산동)<NA>무20080223000000I2018-08-31 23:59:59.0<NA>343471.796621264005.06985<NA><NA>
165166담배소매업11_43_02_P3410000200134100510560000120010108200405114취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 2637번지 12호대구광역시 중구 남산로17길 63-10 (남산동)<NA>서울서점20080223000000I2018-08-31 23:59:59.0<NA>342593.846336263552.347144<NA><NA>
1702617027담배소매업11_43_02_P3460000199834600550560033519981127200406194취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>053 7935800<NA><NA>대구광역시 수성구 신매동 586번지 4호대구광역시 수성구 신매로 60 (신매동)<NA>한공인중개사20080223000000I2018-08-31 23:59:59.0<NA>354283.801846260793.86991<NA><NA>
94049405담배소매업11_43_02_P3440000200434400140560011620041022<NA>3폐업2폐업처리20070312<NA><NA><NA>053 6257446<NA><NA>대구광역시 남구 대명동 2138번지 10호대구광역시 남구 현충로 237 (대명동)<NA>C&S20080223000000I2018-08-31 23:59:59.0<NA>342922.989577262658.505763<NA><NA>
1925819259담배소매업11_43_02_P3460000200434600650560011220040612<NA>3폐업2폐업처리20090129<NA><NA><NA>053-743-2091<NA><NA>대구광역시 수성구 범어동 43번지 1 호대구광역시 수성구 달구벌대로 2403 (범어동)<NA>지에스 25 범어화성점20090129173347I2018-08-31 23:59:59.0<NA>346750.765905263419.170947200406122009년11월법개정전자료
2565825659담배소매업11_43_02_P3470000200834701170560003320080219<NA>3폐업2폐업처리20100820<NA><NA><NA>636-1166<NA>704310대구광역시 달서구 대곡동 56번지 2호대구광역시 달서구 비슬로 2728-20 (대곡동)<NA>홈마트20100820085118I2018-08-31 23:59:59.0<NA>336897.46932257612.509557200802192009년11월법개정전자료
1937119372담배소매업11_43_02_P3460000200234600550560013020020718<NA>3폐업2폐업처리20030417<NA><NA><NA>053 7812193<NA><NA>대구광역시 수성구 지산동 1285번지 9호대구광역시 수성구 지범로23길 49-2 (지산동)<NA>지산종합마트20080223000000I2018-08-31 23:59:59.0<NA>348054.987518259336.019842<NA><NA>