Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells87874
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_3월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088938&dataSetDetailId=DDI_0000089015&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
상세영업상태코드 is highly imbalanced (53.0%)Imbalance
상세영업상태명 is highly imbalanced (53.0%)Imbalance
데이터갱신구분 is highly imbalanced (56.8%)Imbalance
인허가취소일자 has 8914 (89.1%) missing valuesMissing
폐업일자 has 3447 (34.5%) missing valuesMissing
휴업시작일자 has 9857 (98.6%) missing valuesMissing
휴업종료일자 has 9858 (98.6%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 3261 (32.6%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7585 (75.8%) missing valuesMissing
소재지전체주소 has 866 (8.7%) missing valuesMissing
도로명전체주소 has 1433 (14.3%) missing valuesMissing
도로명우편번호 has 7168 (71.7%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 1161 (11.6%) missing valuesMissing
좌표정보(Y) has 1161 (11.6%) missing valuesMissing
지정일자 has 3163 (31.6%) missing valuesMissing
지정일자 is highly skewed (γ1 = -31.9865676)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 started2023-12-10 20:49:06.554439
Analysis finished2023-12-10 20:49:09.541053
Duration2.99 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%
Mean15234.791
Minimum1
Maximum30276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:09.617716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1585.95
Q17582.25
median15320.5
Q322860
95-th percentile28733.05
Maximum30276
Range30275
Interquartile range (IQR)15277.75

Descriptive statistics

Standard deviation8763.0454
Coefficient of variation (CV)0.57519957
Kurtosis-1.2129756
Mean15234.791
Median Absolute Deviation (MAD)7635.5
Skewness-0.010591335
Sum1.5234791 × 108
Variance76790965
MonotonicityNot monotonic
2023-12-11T05:49:09.800773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12068 1
 
< 0.1%
10960 1
 
< 0.1%
17989 1
 
< 0.1%
18670 1
 
< 0.1%
18940 1
 
< 0.1%
560 1
 
< 0.1%
13141 1
 
< 0.1%
22519 1
 
< 0.1%
25292 1
 
< 0.1%
29599 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
23 1
< 0.1%
29 1
< 0.1%
ValueCountFrequency (%)
30276 1
< 0.1%
30273 1
< 0.1%
30268 1
< 0.1%
30267 1
< 0.1%
30264 1
< 0.1%
30261 1
< 0.1%
30260 1
< 0.1%
30257 1
< 0.1%
30253 1
< 0.1%
30251 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

2023-12-11T05:49:09.979959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:10.084378image/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

2023-12-11T05:49:10.234194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:10.350430image/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%
Mean3448577
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:10.448941image/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 deviation21160.1
Coefficient of variation (CV)0.0061358932
Kurtosis-1.1045996
Mean3448577
Median Absolute Deviation (MAD)20000
Skewness-0.33130295
Sum3.448577 × 1010
Variance4.4774985 × 108
MonotonicityNot monotonic
2023-12-11T05:49:10.595002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2182
21.8%
3450000 1721
17.2%
3460000 1520
15.2%
3420000 1308
13.1%
3430000 971
9.7%
3440000 829
 
8.3%
3480000 752
 
7.5%
3410000 717
 
7.2%
ValueCountFrequency (%)
3410000 717
 
7.2%
3420000 1308
13.1%
3430000 971
9.7%
3440000 829
 
8.3%
3450000 1721
17.2%
3460000 1520
15.2%
3470000 2182
21.8%
3480000 752
 
7.5%
ValueCountFrequency (%)
3480000 752
 
7.5%
3470000 2182
21.8%
3460000 1520
15.2%
3450000 1721
17.2%
3440000 829
 
8.3%
3430000 971
9.7%
3420000 1308
13.1%
3410000 717
 
7.2%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T05:49:10.833856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters190000
Distinct characters11
Distinct categories2 ?
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 row2017345014905600065
2nd row2005347007505600168
3rd row2016343009505600011
4th row2012347011705600115
5th row2002347001305600011
ValueCountFrequency (%)
2017345014905600065 1
 
< 0.1%
2006347010005600029 1
 
< 0.1%
2002345001205624235 1
 
< 0.1%
2010346010205600037 1
 
< 0.1%
2001346005505601444 1
 
< 0.1%
2002346005505600090 1
 
< 0.1%
1998346005505601236 1
 
< 0.1%
1992341004605600093 1
 
< 0.1%
1998345001205607022 1
 
< 0.1%
1999344000005600048 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T05:49:11.293407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 70286
37.0%
1 18818
 
9.9%
5 17883
 
9.4%
3 16165
 
8.5%
2 16117
 
8.5%
6 15462
 
8.1%
4 15088
 
7.9%
9 8071
 
4.2%
7 6854
 
3.6%
8 5166
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189910
> 99.9%
Dash Punctuation 90
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 70286
37.0%
1 18818
 
9.9%
5 17883
 
9.4%
3 16165
 
8.5%
2 16117
 
8.5%
6 15462
 
8.1%
4 15088
 
7.9%
9 8071
 
4.2%
7 6854
 
3.6%
8 5166
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 70286
37.0%
1 18818
 
9.9%
5 17883
 
9.4%
3 16165
 
8.5%
2 16117
 
8.5%
6 15462
 
8.1%
4 15088
 
7.9%
9 8071
 
4.2%
7 6854
 
3.6%
8 5166
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 70286
37.0%
1 18818
 
9.9%
5 17883
 
9.4%
3 16165
 
8.5%
2 16117
 
8.5%
6 15462
 
8.1%
4 15088
 
7.9%
9 8071
 
4.2%
7 6854
 
3.6%
8 5166
 
2.7%

인허가일자
Real number (ℝ)

Distinct5007
Distinct (%)50.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19979909
Minimum0
Maximum20210331
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:11.547004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19911014
Q120000683
median20050926
Q320120427
95-th percentile20190211
Maximum20210331
Range20210331
Interquartile range (IQR)119743.75

Descriptive statistics

Standard deviation1222856.9
Coefficient of variation (CV)0.061204325
Kurtosis253.52175
Mean19979909
Median Absolute Deviation (MAD)59792
Skewness-15.86668
Sum1.9979909 × 1011
Variance1.4953789 × 1012
MonotonicityNot monotonic
2023-12-11T05:49:11.832618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19890302 49
 
0.5%
19981215 42
 
0.4%
19870101 42
 
0.4%
19981207 40
 
0.4%
19930101 35
 
0.4%
19981209 35
 
0.4%
19981214 34
 
0.3%
0 28
 
0.3%
19981217 26
 
0.3%
19981210 23
 
0.2%
Other values (4997) 9646
96.5%
ValueCountFrequency (%)
0 28
0.3%
198012 7
 
0.1%
198505 1
 
< 0.1%
9870101 1
 
< 0.1%
9990517 1
 
< 0.1%
11111111 4
 
< 0.1%
19620101 2
 
< 0.1%
19621113 2
 
< 0.1%
19640101 1
 
< 0.1%
19641024 1
 
< 0.1%
ValueCountFrequency (%)
20210331 3
< 0.1%
20210329 1
 
< 0.1%
20210326 2
< 0.1%
20210325 1
 
< 0.1%
20210323 2
< 0.1%
20210316 2
< 0.1%
20210315 1
 
< 0.1%
20210312 2
< 0.1%
20210308 1
 
< 0.1%
20210305 1
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct444
Distinct (%)40.9%
Missing8914
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean20097792
Minimum19981212
Maximum20210308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:12.087260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981212
5-th percentile20011010
Q120041202
median20090527
Q320160622
95-th percentile20190828
Maximum20210308
Range229096
Interquartile range (IQR)119419.5

Descriptive statistics

Standard deviation60480.445
Coefficient of variation (CV)0.0030093079
Kurtosis-1.2868275
Mean20097792
Median Absolute Deviation (MAD)50256.5
Skewness0.19090502
Sum2.1826202 × 1010
Variance3.6578842 × 109
MonotonicityNot monotonic
2023-12-11T05:49:12.381096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180716 24
 
0.2%
20160926 15
 
0.1%
20120227 14
 
0.1%
20111226 13
 
0.1%
20140701 12
 
0.1%
20040315 12
 
0.1%
20020713 12
 
0.1%
20120910 11
 
0.1%
20190828 11
 
0.1%
20161215 11
 
0.1%
Other values (434) 951
 
9.5%
(Missing) 8914
89.1%
ValueCountFrequency (%)
19981212 1
< 0.1%
19990213 1
< 0.1%
20000101 1
< 0.1%
20000808 1
< 0.1%
20001030 2
< 0.1%
20001114 1
< 0.1%
20010131 2
< 0.1%
20010224 2
< 0.1%
20010418 1
< 0.1%
20010503 1
< 0.1%
ValueCountFrequency (%)
20210308 4
< 0.1%
20201229 7
0.1%
20201126 1
 
< 0.1%
20201116 2
 
< 0.1%
20201005 1
 
< 0.1%
20200831 1
 
< 0.1%
20200731 2
 
< 0.1%
20200709 5
0.1%
20200703 4
< 0.1%
20200331 1
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6553 
1
2308 
4
1135 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6553
65.5%
1 2308
 
23.1%
4 1135
 
11.3%
2 4
 
< 0.1%

Length

2023-12-11T05:49:12.651831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:12.836394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6553
65.5%
1 2308
 
23.1%
4 1135
 
11.3%
2 4
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6553 
영업/정상
2308 
취소/말소/만료/정지/중지
1135 
휴업
 
4

Length

Max length14
Median length2
Mean length4.0544
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6553
65.5%
영업/정상 2308
 
23.1%
취소/말소/만료/정지/중지 1135
 
11.3%
휴업 4
 
< 0.1%

Length

2023-12-11T05:49:13.004349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:13.176442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6553
65.5%
영업/정상 2308
 
23.1%
취소/말소/만료/정지/중지 1135
 
11.3%
휴업 4
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6553 
0
2251 
3
 
608
5
 
511
BBBB
 
57
Other values (3)
 
20

Length

Max length4
Median length1
Mean length1.0171
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6553
65.5%
0 2251
 
22.5%
3 608
 
6.1%
5 511
 
5.1%
BBBB 57
 
0.6%
4 14
 
0.1%
1 4
 
< 0.1%
6 2
 
< 0.1%

Length

2023-12-11T05:49:13.370534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:13.560456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6553
65.5%
0 2251
 
22.5%
3 608
 
6.1%
5 511
 
5.1%
bbbb 57
 
0.6%
4 14
 
0.1%
1 4
 
< 0.1%
6 2
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업처리
6553 
정상영업
2251 
직권취소
 
608
지정취소
 
511
<NA>
 
57
Other values (3)
 
20

Length

Max length8
Median length4
Mean length4.0056
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 6553
65.5%
정상영업 2251
 
22.5%
직권취소 608
 
6.1%
지정취소 511
 
5.1%
<NA> 57
 
0.6%
임시소매기간만료 14
 
0.1%
휴업처리 4
 
< 0.1%
영업정지 2
 
< 0.1%

Length

2023-12-11T05:49:13.792501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:13.980012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 6553
65.5%
정상영업 2251
 
22.5%
직권취소 608
 
6.1%
지정취소 511
 
5.1%
na 57
 
0.6%
임시소매기간만료 14
 
0.1%
휴업처리 4
 
< 0.1%
영업정지 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct3614
Distinct (%)55.2%
Missing3447
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean20093669
Minimum19981116
Maximum21091007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:14.295078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981116
5-th percentile20011122
Q120041018
median20090213
Q320140507
95-th percentile20190802
Maximum21091007
Range1109891
Interquartile range (IQR)99489

Descriptive statistics

Standard deviation58150.688
Coefficient of variation (CV)0.0028939806
Kurtosis11.992589
Mean20093669
Median Absolute Deviation (MAD)49492
Skewness1.037705
Sum1.3167381 × 1011
Variance3.3815025 × 109
MonotonicityNot monotonic
2023-12-11T05:49:14.531290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080408 30
 
0.3%
20080407 15
 
0.1%
20031001 12
 
0.1%
20030103 8
 
0.1%
20040504 8
 
0.1%
20030918 8
 
0.1%
20040305 7
 
0.1%
20060911 7
 
0.1%
20050420 7
 
0.1%
20030425 7
 
0.1%
Other values (3604) 6444
64.4%
(Missing) 3447
34.5%
ValueCountFrequency (%)
19981116 1
 
< 0.1%
19981124 1
 
< 0.1%
19981211 1
 
< 0.1%
20000101 5
0.1%
20000102 1
 
< 0.1%
20000106 1
 
< 0.1%
20000215 1
 
< 0.1%
20000403 1
 
< 0.1%
20000516 1
 
< 0.1%
20000529 1
 
< 0.1%
ValueCountFrequency (%)
21091007 1
 
< 0.1%
20210331 2
< 0.1%
20210329 2
< 0.1%
20210326 1
 
< 0.1%
20210325 1
 
< 0.1%
20210323 2
< 0.1%
20210322 1
 
< 0.1%
20210318 1
 
< 0.1%
20210316 1
 
< 0.1%
20210315 4
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)93.7%
Missing9857
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20107982
Minimum20001024
Maximum20201229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:14.743846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001024
5-th percentile20010426
Q120051076
median20120120
Q320160452
95-th percentile20199234
Maximum20201229
Range200205
Interquartile range (IQR)109376.5

Descriptive statistics

Standard deviation61329.27
Coefficient of variation (CV)0.0030499963
Kurtosis-1.1935793
Mean20107982
Median Absolute Deviation (MAD)50086
Skewness-0.23805493
Sum2.8754414 × 109
Variance3.7612794 × 109
MonotonicityNot monotonic
2023-12-11T05:49:14.994086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150126 5
 
0.1%
20170206 3
 
< 0.1%
20010515 2
 
< 0.1%
20130508 2
 
< 0.1%
20180702 2
 
< 0.1%
20200228 1
 
< 0.1%
20170701 1
 
< 0.1%
20010302 1
 
< 0.1%
20010411 1
 
< 0.1%
20011010 1
 
< 0.1%
Other values (124) 124
 
1.2%
(Missing) 9857
98.6%
ValueCountFrequency (%)
20001024 1
< 0.1%
20001026 1
< 0.1%
20001130 1
< 0.1%
20010115 1
< 0.1%
20010302 1
< 0.1%
20010403 1
< 0.1%
20010411 1
< 0.1%
20010418 1
< 0.1%
20010503 1
< 0.1%
20010515 2
< 0.1%
ValueCountFrequency (%)
20201229 1
< 0.1%
20201123 1
< 0.1%
20201120 1
< 0.1%
20201019 1
< 0.1%
20200716 1
< 0.1%
20200511 1
< 0.1%
20200228 1
< 0.1%
20200123 1
< 0.1%
20191231 1
< 0.1%
20190901 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)94.4%
Missing9858
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20111571
Minimum20001122
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:15.252914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001122
5-th percentile20010602
Q120060626
median20120570
Q320170120
95-th percentile20200308
Maximum20220630
Range219508
Interquartile range (IQR)109494

Descriptive statistics

Standard deviation62170.657
Coefficient of variation (CV)0.0030912879
Kurtosis-1.123902
Mean20111571
Median Absolute Deviation (MAD)49645.5
Skewness-0.27312795
Sum2.8558431 × 109
Variance3.8651906 × 109
MonotonicityNot monotonic
2023-12-11T05:49:15.464039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170125 5
 
0.1%
20170305 3
 
< 0.1%
20090430 2
 
< 0.1%
20150507 2
 
< 0.1%
20210228 1
 
< 0.1%
20140710 1
 
< 0.1%
20201208 1
 
< 0.1%
20041201 1
 
< 0.1%
20010331 1
 
< 0.1%
20010810 1
 
< 0.1%
Other values (124) 124
 
1.2%
(Missing) 9858
98.6%
ValueCountFrequency (%)
20001122 1
< 0.1%
20001124 1
< 0.1%
20001229 1
< 0.1%
20010213 1
< 0.1%
20010331 1
< 0.1%
20010502 1
< 0.1%
20010517 1
< 0.1%
20010601 1
< 0.1%
20010614 1
< 0.1%
20010810 1
< 0.1%
ValueCountFrequency (%)
20220630 1
< 0.1%
20210228 1
< 0.1%
20210128 1
< 0.1%
20201208 1
< 0.1%
20201102 1
< 0.1%
20200814 1
< 0.1%
20200610 1
< 0.1%
20200313 1
< 0.1%
20200222 1
< 0.1%
20200201 1
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전화
Text

MISSING 

Distinct6126
Distinct (%)90.9%
Missing3261
Missing (%)32.6%
Memory size156.2 KiB
2023-12-11T05:49:15.871258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length10.55572
Min length1

Characters and Unicode

Total characters71135
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

Unique5777 ?
Unique (%)85.7%

Sample

1st row053 5550479
2nd row053 6374551
3rd row053
4th row053 6416092
5th row053 6268087
ValueCountFrequency (%)
053 4474
39.8%
43
 
0.4%
0 27
 
0.2%
053-742-2631 13
 
0.1%
7422631 13
 
0.1%
9401351 6
 
0.1%
7504482 5
 
< 0.1%
634 5
 
< 0.1%
0000000 5
 
< 0.1%
1 4
 
< 0.1%
Other values (6217) 6644
59.1%
2023-12-11T05:49:16.490122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 12336
17.3%
3 10731
15.1%
0 9433
13.3%
6 5353
7.5%
2 5266
7.4%
4531
 
6.4%
7 4400
 
6.2%
4 4224
 
5.9%
1 3992
 
5.6%
8 3868
 
5.4%
Other values (6) 7001
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63353
89.1%
Space Separator 4531
 
6.4%
Dash Punctuation 3188
 
4.5%
Other Punctuation 41
 
0.1%
Close Punctuation 21
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12336
19.5%
3 10731
16.9%
0 9433
14.9%
6 5353
8.4%
2 5266
8.3%
7 4400
 
6.9%
4 4224
 
6.7%
1 3992
 
6.3%
8 3868
 
6.1%
9 3750
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 40
97.6%
, 1
 
2.4%
Space Separator
ValueCountFrequency (%)
4531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 12336
17.3%
3 10731
15.1%
0 9433
13.3%
6 5353
7.5%
2 5266
7.4%
4531
 
6.4%
7 4400
 
6.2%
4 4224
 
5.9%
1 3992
 
5.6%
8 3868
 
5.4%
Other values (6) 7001
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 12336
17.3%
3 10731
15.1%
0 9433
13.3%
6 5353
7.5%
2 5266
7.4%
4531
 
6.4%
7 4400
 
6.2%
4 4224
 
5.9%
1 3992
 
5.6%
8 3868
 
5.4%
Other values (6) 7001
9.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING 

Distinct633
Distinct (%)26.2%
Missing7585
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean699897.8
Minimum0
Maximum711892
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:16.768747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700413
Q1702050
median704130
Q3706010
95-th percentile711814
Maximum711892
Range711892
Interquartile range (IQR)3960

Descriptive statistics

Standard deviation55198.511
Coefficient of variation (CV)0.07886653
Kurtosis155.63461
Mean699897.8
Median Absolute Deviation (MAD)1890
Skewness-12.53175
Sum1.6902532 × 109
Variance3.0468756 × 109
MonotonicityNot monotonic
2023-12-11T05:49:17.017378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704140 35
 
0.4%
700440 28
 
0.3%
704360 27
 
0.3%
706010 26
 
0.3%
704130 24
 
0.2%
704370 24
 
0.2%
706170 24
 
0.2%
704340 24
 
0.2%
704150 23
 
0.2%
706090 22
 
0.2%
Other values (623) 2158
 
21.6%
(Missing) 7585
75.8%
ValueCountFrequency (%)
0 14
0.1%
42425 1
 
< 0.1%
700010 4
 
< 0.1%
700030 2
 
< 0.1%
700040 1
 
< 0.1%
700060 2
 
< 0.1%
700070 9
0.1%
700081 1
 
< 0.1%
700082 1
 
< 0.1%
700092 5
 
0.1%
ValueCountFrequency (%)
711892 3
 
< 0.1%
711891 14
0.1%
711883 6
0.1%
711882 1
 
< 0.1%
711881 1
 
< 0.1%
711880 1
 
< 0.1%
711874 4
 
< 0.1%
711873 4
 
< 0.1%
711872 1
 
< 0.1%
711870 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct8546
Distinct (%)93.6%
Missing866
Missing (%)8.7%
Memory size156.2 KiB
2023-12-11T05:49:17.923585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length49
Mean length24.767134
Min length1

Characters and Unicode

Total characters226223
Distinct characters458
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8040 ?
Unique (%)88.0%

Sample

1st row대구광역시 달서구 감삼동 206번지 42호
2nd row대구광역시 서구 비산동 326번지 6호
3rd row대구광역시 달서구 송현1동 1992번지 9호
4th row대구광역시 달서구 진천동 511번지 2호
5th row대구광역시 남구 봉덕2동 944번지 9호
ValueCountFrequency (%)
대구광역시 9127
 
19.0%
달서구 1843
 
3.8%
북구 1530
 
3.2%
수성구 1497
 
3.1%
호 1355
 
2.8%
동구 1184
 
2.5%
서구 965
 
2.0%
1호 947
 
2.0%
남구 826
 
1.7%
달성군 650
 
1.3%
Other values (5555) 28230
58.6%
2023-12-11T05:49:18.622125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49981
22.1%
구 17893
 
7.9%
1 11222
 
5.0%
대 10233
 
4.5%
동 10202
 
4.5%
시 9277
 
4.1%
역 9172
 
4.1%
광 9141
 
4.0%
호 8970
 
4.0%
지 7736
 
3.4%
Other values (448) 82396
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129888
57.4%
Space Separator 49981
 
22.1%
Decimal Number 44781
 
19.8%
Dash Punctuation 1065
 
0.5%
Uppercase Letter 189
 
0.1%
Other Punctuation 164
 
0.1%
Close Punctuation 62
 
< 0.1%
Open Punctuation 62
 
< 0.1%
Lowercase Letter 18
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17893
13.8%
대 10233
 
7.9%
동 10202
 
7.9%
시 9277
 
7.1%
역 9172
 
7.1%
광 9141
 
7.0%
호 8970
 
6.9%
지 7736
 
6.0%
번 7076
 
5.4%
서 3080
 
2.4%
Other values (392) 37108
28.6%
Uppercase Letter
ValueCountFrequency (%)
B 47
24.9%
A 39
20.6%
L 18
 
9.5%
T 13
 
6.9%
C 12
 
6.3%
P 7
 
3.7%
D 7
 
3.7%
K 7
 
3.7%
E 6
 
3.2%
H 6
 
3.2%
Other values (13) 27
14.3%
Decimal Number
ValueCountFrequency (%)
1 11222
25.1%
2 5568
12.4%
3 4413
 
9.9%
0 4114
 
9.2%
4 3869
 
8.6%
5 3517
 
7.9%
6 3242
 
7.2%
7 3025
 
6.8%
9 2928
 
6.5%
8 2883
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
50.0%
a 2
 
11.1%
s 1
 
5.6%
h 1
 
5.6%
o 1
 
5.6%
w 1
 
5.6%
k 1
 
5.6%
n 1
 
5.6%
i 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 92
56.1%
. 47
28.7%
/ 20
 
12.2%
: 2
 
1.2%
& 1
 
0.6%
@ 1
 
0.6%
* 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 11
91.7%
< 1
 
8.3%
Space Separator
ValueCountFrequency (%)
49981
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1065
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129888
57.4%
Common 96128
42.5%
Latin 207
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17893
13.8%
대 10233
 
7.9%
동 10202
 
7.9%
시 9277
 
7.1%
역 9172
 
7.1%
광 9141
 
7.0%
호 8970
 
6.9%
지 7736
 
6.0%
번 7076
 
5.4%
서 3080
 
2.4%
Other values (392) 37108
28.6%
Latin
ValueCountFrequency (%)
B 47
22.7%
A 39
18.8%
L 18
 
8.7%
T 13
 
6.3%
C 12
 
5.8%
e 9
 
4.3%
P 7
 
3.4%
D 7
 
3.4%
K 7
 
3.4%
E 6
 
2.9%
Other values (22) 42
20.3%
Common
ValueCountFrequency (%)
49981
52.0%
1 11222
 
11.7%
2 5568
 
5.8%
3 4413
 
4.6%
0 4114
 
4.3%
4 3869
 
4.0%
5 3517
 
3.7%
6 3242
 
3.4%
7 3025
 
3.1%
9 2928
 
3.0%
Other values (14) 4249
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129888
57.4%
ASCII 96334
42.6%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49981
51.9%
1 11222
 
11.6%
2 5568
 
5.8%
3 4413
 
4.6%
0 4114
 
4.3%
4 3869
 
4.0%
5 3517
 
3.7%
6 3242
 
3.4%
7 3025
 
3.1%
9 2928
 
3.0%
Other values (45) 4455
 
4.6%
Hangul
ValueCountFrequency (%)
구 17893
13.8%
대 10233
 
7.9%
동 10202
 
7.9%
시 9277
 
7.1%
역 9172
 
7.1%
광 9141
 
7.0%
호 8970
 
6.9%
지 7736
 
6.0%
번 7076
 
5.4%
서 3080
 
2.4%
Other values (392) 37108
28.6%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct7129
Distinct (%)83.2%
Missing1433
Missing (%)14.3%
Memory size156.2 KiB
2023-12-11T05:49:19.245228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length60
Mean length27.155597
Min length14

Characters and Unicode

Total characters232642
Distinct characters487
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6012 ?
Unique (%)70.2%

Sample

1st row대구광역시 북구 동북로 291, 107호 (복현동)
2nd row대구광역시 달서구 당산로 99 (감삼동)
3rd row대구광역시 서구 달서로 100 (비산동)
4th row대구광역시 달서구 앞산순환로55길 40 (송현동)
5th row대구광역시 달서구 진천로 56 (진천동)
ValueCountFrequency (%)
대구광역시 8565
 
18.4%
달서구 2099
 
4.5%
수성구 1401
 
3.0%
동구 1166
 
2.5%
북구 1158
 
2.5%
서구 832
 
1.8%
1층 772
 
1.7%
남구 709
 
1.5%
중구 642
 
1.4%
달성군 538
 
1.2%
Other values (5567) 28782
61.7%
2023-12-11T05:49:20.241555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38139
 
16.4%
구 17831
 
7.7%
대 11179
 
4.8%
동 11144
 
4.8%
1 9087
 
3.9%
시 8786
 
3.8%
역 8653
 
3.7%
광 8584
 
3.7%
로 8329
 
3.6%
) 8159
 
3.5%
Other values (477) 102751
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137916
59.3%
Space Separator 38139
 
16.4%
Decimal Number 35650
 
15.3%
Close Punctuation 8159
 
3.5%
Open Punctuation 8158
 
3.5%
Other Punctuation 3175
 
1.4%
Dash Punctuation 1189
 
0.5%
Uppercase Letter 198
 
0.1%
Math Symbol 34
 
< 0.1%
Lowercase Letter 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17831
 
12.9%
대 11179
 
8.1%
동 11144
 
8.1%
시 8786
 
6.4%
역 8653
 
6.3%
광 8584
 
6.2%
로 8329
 
6.0%
길 4231
 
3.1%
서 4037
 
2.9%
달 3512
 
2.5%
Other values (420) 51630
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 51
25.8%
A 41
20.7%
C 20
 
10.1%
T 12
 
6.1%
L 9
 
4.5%
D 9
 
4.5%
K 8
 
4.0%
H 7
 
3.5%
E 6
 
3.0%
P 5
 
2.5%
Other values (13) 30
15.2%
Decimal Number
ValueCountFrequency (%)
1 9087
25.5%
2 4999
14.0%
3 3938
11.0%
0 3440
 
9.6%
4 2941
 
8.2%
5 2898
 
8.1%
6 2545
 
7.1%
7 2003
 
5.6%
8 1948
 
5.5%
9 1851
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
56.5%
a 2
 
8.7%
o 1
 
4.3%
c 1
 
4.3%
w 1
 
4.3%
h 1
 
4.3%
s 1
 
4.3%
n 1
 
4.3%
i 1
 
4.3%
b 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 3126
98.5%
. 30
 
0.9%
/ 14
 
0.4%
: 2
 
0.1%
& 1
 
< 0.1%
@ 1
 
< 0.1%
* 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 33
97.1%
< 1
 
2.9%
Space Separator
ValueCountFrequency (%)
38139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1189
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137916
59.3%
Common 94505
40.6%
Latin 221
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17831
 
12.9%
대 11179
 
8.1%
동 11144
 
8.1%
시 8786
 
6.4%
역 8653
 
6.3%
광 8584
 
6.2%
로 8329
 
6.0%
길 4231
 
3.1%
서 4037
 
2.9%
달 3512
 
2.5%
Other values (420) 51630
37.4%
Latin
ValueCountFrequency (%)
B 51
23.1%
A 41
18.6%
C 20
 
9.0%
e 13
 
5.9%
T 12
 
5.4%
L 9
 
4.1%
D 9
 
4.1%
K 8
 
3.6%
H 7
 
3.2%
E 6
 
2.7%
Other values (23) 45
20.4%
Common
ValueCountFrequency (%)
38139
40.4%
1 9087
 
9.6%
) 8159
 
8.6%
( 8158
 
8.6%
2 4999
 
5.3%
3 3938
 
4.2%
0 3440
 
3.6%
, 3126
 
3.3%
4 2941
 
3.1%
5 2898
 
3.1%
Other values (14) 9620
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137916
59.3%
ASCII 94725
40.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38139
40.3%
1 9087
 
9.6%
) 8159
 
8.6%
( 8158
 
8.6%
2 4999
 
5.3%
3 3938
 
4.2%
0 3440
 
3.6%
, 3126
 
3.3%
4 2941
 
3.1%
5 2898
 
3.1%
Other values (46) 9840
 
10.4%
Hangul
ValueCountFrequency (%)
구 17831
 
12.9%
대 11179
 
8.1%
동 11144
 
8.1%
시 8786
 
6.4%
역 8653
 
6.3%
광 8584
 
6.2%
로 8329
 
6.0%
길 4231
 
3.1%
서 4037
 
2.9%
달 3512
 
2.5%
Other values (420) 51630
37.4%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1368
Distinct (%)48.3%
Missing7168
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean323434.93
Minimum41002
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:20.488146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41155
Q142012
median42905.5
Q3703803.25
95-th percentile706827
Maximum711892
Range670890
Interquartile range (IQR)661791.25

Descriptive statistics

Standard deviation327411.26
Coefficient of variation (CV)1.0122941
Kurtosis-1.9084445
Mean323434.93
Median Absolute Deviation (MAD)1662.5
Skewness0.30456462
Sum9.1596771 × 108
Variance1.0719813 × 1011
MonotonicityNot monotonic
2023-12-11T05:49:20.736653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42930 16
 
0.2%
43008 14
 
0.1%
42974 12
 
0.1%
706170 10
 
0.1%
42609 9
 
0.1%
700070 9
 
0.1%
43014 9
 
0.1%
704900 9
 
0.1%
704220 9
 
0.1%
701847 9
 
0.1%
Other values (1358) 2726
 
27.3%
(Missing) 7168
71.7%
ValueCountFrequency (%)
41002 2
< 0.1%
41003 4
< 0.1%
41005 2
< 0.1%
41007 3
< 0.1%
41015 1
 
< 0.1%
41020 2
< 0.1%
41021 2
< 0.1%
41023 1
 
< 0.1%
41025 1
 
< 0.1%
41026 4
< 0.1%
ValueCountFrequency (%)
711892 2
 
< 0.1%
711891 4
< 0.1%
711890 1
 
< 0.1%
711883 4
< 0.1%
711882 1
 
< 0.1%
711881 1
 
< 0.1%
711880 2
 
< 0.1%
711874 1
 
< 0.1%
711873 8
0.1%
711871 1
 
< 0.1%

사업장명
Text

Distinct7376
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T05:49:21.301613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length6.089
Min length1

Characters and Unicode

Total characters60890
Distinct characters801
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6420 ?
Unique (%)64.2%

Sample

1st rowGS25복현네거리점
2nd row진스포츠
3rd row퓨어데이
4th row신우유통영동점
5th row한솔수퍼
ValueCountFrequency (%)
씨유 180
 
1.5%
세븐일레븐 160
 
1.4%
gs25 123
 
1.0%
신우유통 112
 
1.0%
홈마트 100
 
0.9%
가게 85
 
0.7%
지에스(gs)25 74
 
0.6%
이마트24 70
 
0.6%
대백마트 65
 
0.6%
무 59
 
0.5%
Other values (7523) 10710
91.2%
2023-12-11T05:49:22.168084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 2551
 
4.2%
트 2544
 
4.2%
점 2483
 
4.1%
1754
 
2.9%
대 1710
 
2.8%
퍼 1427
 
2.3%
구 1284
 
2.1%
슈 1077
 
1.8%
유 907
 
1.5%
인 855
 
1.4%
Other values (791) 44298
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54607
89.7%
Space Separator 1754
 
2.9%
Decimal Number 1469
 
2.4%
Uppercase Letter 1443
 
2.4%
Close Punctuation 628
 
1.0%
Open Punctuation 626
 
1.0%
Lowercase Letter 211
 
0.3%
Other Punctuation 73
 
0.1%
Dash Punctuation 72
 
0.1%
Other Symbol 3
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 2551
 
4.7%
트 2544
 
4.7%
점 2483
 
4.5%
대 1710
 
3.1%
퍼 1427
 
2.6%
구 1284
 
2.4%
슈 1077
 
2.0%
유 907
 
1.7%
인 855
 
1.6%
스 820
 
1.5%
Other values (718) 38949
71.3%
Uppercase Letter
ValueCountFrequency (%)
S 405
28.1%
G 357
24.7%
K 109
 
7.6%
C 104
 
7.2%
O 58
 
4.0%
L 55
 
3.8%
A 53
 
3.7%
M 44
 
3.0%
T 34
 
2.4%
U 30
 
2.1%
Other values (15) 194
13.4%
Lowercase Letter
ValueCountFrequency (%)
e 41
19.4%
a 20
9.5%
r 16
 
7.6%
t 15
 
7.1%
o 15
 
7.1%
s 14
 
6.6%
i 13
 
6.2%
m 11
 
5.2%
y 11
 
5.2%
k 9
 
4.3%
Other values (11) 46
21.8%
Decimal Number
ValueCountFrequency (%)
2 636
43.3%
5 427
29.1%
4 194
 
13.2%
0 59
 
4.0%
1 53
 
3.6%
3 36
 
2.5%
7 34
 
2.3%
6 20
 
1.4%
8 8
 
0.5%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 28
38.4%
& 26
35.6%
, 8
 
11.0%
/ 4
 
5.5%
' 2
 
2.7%
？ 2
 
2.7%
? 1
 
1.4%
! 1
 
1.4%
＆ 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
∥ 1
33.3%
Space Separator
ValueCountFrequency (%)
1754
100.0%
Close Punctuation
ValueCountFrequency (%)
) 628
100.0%
Open Punctuation
ValueCountFrequency (%)
( 626
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54609
89.7%
Common 4626
 
7.6%
Latin 1654
 
2.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 2551
 
4.7%
트 2544
 
4.7%
점 2483
 
4.5%
대 1710
 
3.1%
퍼 1427
 
2.6%
구 1284
 
2.4%
슈 1077
 
2.0%
유 907
 
1.7%
인 855
 
1.6%
스 820
 
1.5%
Other values (718) 38951
71.3%
Latin
ValueCountFrequency (%)
S 405
24.5%
G 357
21.6%
K 109
 
6.6%
C 104
 
6.3%
O 58
 
3.5%
L 55
 
3.3%
A 53
 
3.2%
M 44
 
2.7%
e 41
 
2.5%
T 34
 
2.1%
Other values (36) 394
23.8%
Common
ValueCountFrequency (%)
1754
37.9%
2 636
 
13.7%
) 628
 
13.6%
( 626
 
13.5%
5 427
 
9.2%
4 194
 
4.2%
- 72
 
1.6%
0 59
 
1.3%
1 53
 
1.1%
3 36
 
0.8%
Other values (16) 141
 
3.0%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54602
89.7%
ASCII 6276
 
10.3%
None 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Math Operators 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 2551
 
4.7%
트 2544
 
4.7%
점 2483
 
4.5%
대 1710
 
3.1%
퍼 1427
 
2.6%
구 1284
 
2.4%
슈 1077
 
2.0%
유 907
 
1.7%
인 855
 
1.6%
스 820
 
1.5%
Other values (715) 38944
71.3%
ASCII
ValueCountFrequency (%)
1754
27.9%
2 636
 
10.1%
) 628
 
10.0%
( 626
 
10.0%
5 427
 
6.8%
S 405
 
6.5%
G 357
 
5.7%
4 194
 
3.1%
K 109
 
1.7%
C 104
 
1.7%
Other values (59) 1036
16.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 3
75.0%
ㄷ 1
 
25.0%
None
ValueCountFrequency (%)
㈜ 3
50.0%
？ 2
33.3%
＆ 1
 
16.7%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정시점
Real number (ℝ)

Distinct6838
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0120017 × 1013
Minimum2.0070709 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:22.430448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070709 × 1013
5-th percentile2.0080223 × 1013
Q12.0080223 × 1013
median2.0101005 × 1013
Q32.016053 × 1013
95-th percentile2.020032 × 1013
Maximum2.0210331 × 1013
Range1.3962206 × 1011
Interquartile range (IQR)8.0307408 × 1010

Descriptive statistics

Standard deviation4.3356861 × 1010
Coefficient of variation (CV)0.0021549118
Kurtosis-1.1545918
Mean2.0120017 × 1013
Median Absolute Deviation (MAD)2.0782174 × 1010
Skewness0.58033508
Sum2.0120017 × 1017
Variance1.8798174 × 1021
MonotonicityNot monotonic
2023-12-11T05:49:22.735453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080223000000 3163
31.6%
20201124143117 1
 
< 0.1%
20190703103454 1
 
< 0.1%
20110225091836 1
 
< 0.1%
20090331171918 1
 
< 0.1%
20100812175239 1
 
< 0.1%
20080222153547 1
 
< 0.1%
20091230103621 1
 
< 0.1%
20190315135147 1
 
< 0.1%
20090825161734 1
 
< 0.1%
Other values (6828) 6828
68.3%
ValueCountFrequency (%)
20070709112323 1
< 0.1%
20070711124453 1
< 0.1%
20070711171459 1
< 0.1%
20070712093533 1
< 0.1%
20070712161649 1
< 0.1%
20070716115608 1
< 0.1%
20070716163144 1
< 0.1%
20070716165122 1
< 0.1%
20070718115617 1
< 0.1%
20070718153623 1
< 0.1%
ValueCountFrequency (%)
20210331172830 1
< 0.1%
20210331154534 1
< 0.1%
20210331141309 1
< 0.1%
20210331111303 1
< 0.1%
20210331103654 1
< 0.1%
20210329171601 1
< 0.1%
20210329144022 1
< 0.1%
20210329113457 1
< 0.1%
20210326181222 1
< 0.1%
20210326180055 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9113 
U
 
887

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 9113
91.1%
U 887
 
8.9%

Length

2023-12-11T05:49:22.966895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:23.127644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9113
91.1%
u 887
 
8.9%

데이터갱신일자
Date

Distinct728
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2023-12-11T05:49:23.327706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:49:23.550456image/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 

Distinct6494
Distinct (%)73.5%
Missing1161
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean342576.57
Minimum189859.07
Maximum358634.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:23.845547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189859.07
5-th percentile333687.34
Q1339357.72
median342333.5
Q3346207.1
95-th percentile353290.84
Maximum358634.79
Range168775.72
Interquartile range (IQR)6849.374

Descriptive statistics

Standard deviation5948.7042
Coefficient of variation (CV)0.017364597
Kurtosis61.81758
Mean342576.57
Median Absolute Deviation (MAD)3437.144
Skewness-2.9558198
Sum3.0280343 × 109
Variance35387081
MonotonicityNot monotonic
2023-12-11T05:49:24.173798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344912.358902 10
 
0.1%
343820.40768 10
 
0.1%
341920.600043 8
 
0.1%
341301.554735 8
 
0.1%
342657.608723 7
 
0.1%
347950.194975 7
 
0.1%
348241.422914 7
 
0.1%
343510.573192 7
 
0.1%
338088.198632 7
 
0.1%
349406.436979 6
 
0.1%
Other values (6484) 8762
87.6%
(Missing) 1161
 
11.6%
ValueCountFrequency (%)
189859.071768836 1
< 0.1%
271815.884811 1
< 0.1%
271978.802251 1
< 0.1%
271984.519888 1
< 0.1%
272011.409109 1
< 0.1%
272046.839678 1
< 0.1%
272347.671698 1
< 0.1%
325831.391262 2
< 0.1%
326154.899807 1
< 0.1%
326227.758452 1
< 0.1%
ValueCountFrequency (%)
358634.793396 1
< 0.1%
357991.434016 1
< 0.1%
357946.747249 1
< 0.1%
357944.072424 1
< 0.1%
357916.122672 1
< 0.1%
357805.494255 1
< 0.1%
357646.727978 2
< 0.1%
356984.242048 1
< 0.1%
356963.492594 1
< 0.1%
356698.367083 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6496
Distinct (%)73.5%
Missing1161
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean263232.4
Minimum237066.75
Maximum445875.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:24.409067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237066.75
5-th percentile257455.52
Q1261157.45
median263241.32
Q3265371.27
95-th percentile270760.38
Maximum445875.9
Range208809.15
Interquartile range (IQR)4213.8138

Descriptive statistics

Standard deviation5965.9726
Coefficient of variation (CV)0.022664279
Kurtosis220.75754
Mean263232.4
Median Absolute Deviation (MAD)2101.1228
Skewness8.471554
Sum2.3267112 × 109
Variance35592829
MonotonicityNot monotonic
2023-12-11T05:49:24.659384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.87607 10
 
0.1%
268253.830253 10
 
0.1%
262585.135012 8
 
0.1%
262281.719778 8
 
0.1%
264640.954913 7
 
0.1%
261123.848734 7
 
0.1%
266134.259921 7
 
0.1%
261689.070956 7
 
0.1%
265687.62574 7
 
0.1%
265132.987974 6
 
0.1%
Other values (6486) 8762
87.6%
(Missing) 1161
 
11.6%
ValueCountFrequency (%)
237066.746717 1
< 0.1%
238001.998677 1
< 0.1%
238029.007127 2
< 0.1%
238040.292166 1
< 0.1%
238089.529483 1
< 0.1%
238694.839855 1
< 0.1%
238769.812522 2
< 0.1%
238771.541686 1
< 0.1%
238870.047256 1
< 0.1%
238928.446986 1
< 0.1%
ValueCountFrequency (%)
445875.89672273 1
< 0.1%
386040.38237 1
< 0.1%
386003.747095 1
< 0.1%
385920.845944 1
< 0.1%
385635.030836 1
< 0.1%
385553.059418 1
< 0.1%
385478.178903 1
< 0.1%
278318.296599 1
< 0.1%
278141.388025 1
< 0.1%
278091.653532 2
< 0.1%

지정일자
Real number (ℝ)

MISSING  SKEWED 

Distinct3965
Distinct (%)58.0%
Missing3163
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean20077835
Minimum9870101
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T05:49:24.929447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9870101
5-th percentile19930806
Q120040831
median20090828
Q320150216
95-th percentile20190911
Maximum20210331
Range10340230
Interquartile range (IQR)109385

Descriptive statistics

Standard deviation262417.4
Coefficient of variation (CV)0.013070005
Kurtosis1130.6256
Mean20077835
Median Absolute Deviation (MAD)50303
Skewness-31.986568
Sum1.3727216 × 1011
Variance6.8862892 × 1010
MonotonicityNot monotonic
2023-12-11T05:49:25.199788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19890302 39
 
0.4%
19930101 19
 
0.2%
20000101 18
 
0.2%
19981215 15
 
0.1%
19870101 14
 
0.1%
19981214 13
 
0.1%
19981210 13
 
0.1%
19981207 12
 
0.1%
19981209 10
 
0.1%
19981216 10
 
0.1%
Other values (3955) 6674
66.7%
(Missing) 3163
31.6%
ValueCountFrequency (%)
9870101 1
 
< 0.1%
11111111 4
< 0.1%
19620101 1
 
< 0.1%
19621113 2
< 0.1%
19640101 1
 
< 0.1%
19641024 1
 
< 0.1%
19681213 1
 
< 0.1%
19681231 1
 
< 0.1%
19700909 1
 
< 0.1%
19701201 1
 
< 0.1%
ValueCountFrequency (%)
20210331 3
< 0.1%
20210329 1
 
< 0.1%
20210326 2
< 0.1%
20210325 1
 
< 0.1%
20210323 2
< 0.1%
20210316 2
< 0.1%
20210315 1
 
< 0.1%
20210312 2
< 0.1%
20210308 1
 
< 0.1%
20210305 1
 
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2009년11월법개정전자료
3427 
<NA>
3163 
제7조의3제2항에따른경우
2867 
제7조의3제3항에따른경우
543 

Length

Max length14
Median length13
Mean length10.496
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제3항에따른경우
2nd row<NA>
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row<NA>

Common Values

ValueCountFrequency (%)
2009년11월법개정전자료 3427
34.3%
<NA> 3163
31.6%
제7조의3제2항에따른경우 2867
28.7%
제7조의3제3항에따른경우 543
 
5.4%

Length

2023-12-11T05:49:25.457130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:25.625723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009년11월법개정전자료 3427
34.3%
na 3163
31.6%
제7조의3제2항에따른경우 2867
28.7%
제7조의3제3항에따른경우 543
 
5.4%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
1206712068담배소매업11_43_02_P3450000201734501490560006520170627<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 동북로 291, 107호 (복현동)41529GS25복현네거리점20170628094936I2018-08-31 23:59:59.0<NA>346453.457705267367.58023120170627제7조의3제3항에따른경우
2258022581담배소매업11_43_02_P3470000200534700750560016820050628<NA>3폐업2폐업처리20060714<NA><NA><NA>053 5550479<NA><NA>대구광역시 달서구 감삼동 206번지 42호대구광역시 달서구 당산로 99 (감삼동)<NA>진스포츠20080223000000I2018-08-31 23:59:59.0<NA>339454.504236261794.714225<NA><NA>
89618962담배소매업11_43_02_P3430000201634300950560001120160308<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 비산동 326번지 6호대구광역시 서구 달서로 100 (비산동)41803퓨어데이20191223161608U2019-12-25 02:40:00.0<NA>341841.358338264564.51429320160308제7조의3제2항에따른경우
2581125812담배소매업11_43_02_P3470000201234701170560011520120718<NA>3폐업2폐업처리20150205<NA><NA><NA><NA><NA>704341대구광역시 달서구 송현1동 1992번지 9호대구광역시 달서구 앞산순환로55길 40 (송현동)704341신우유통영동점20150205152044I2018-08-31 23:59:59.0<NA>340591.262785259792.11685620120718제7조의3제2항에따른경우
2515525156담배소매업11_43_02_P3470000200234700130560001120020108<NA>3폐업2폐업처리20050705<NA><NA><NA>053 6374551<NA><NA>대구광역시 달서구 진천동 511번지 2호대구광역시 달서구 진천로 56 (진천동)<NA>한솔수퍼20080223000000I2018-08-31 23:59:59.0<NA>337727.868407258127.250703<NA><NA>
1125011251담배소매업11_43_02_P3440000199634400000560000819960229<NA>1영업/정상0정상영업<NA><NA><NA><NA>053<NA>705827대구광역시 남구 봉덕2동 944번지 9호대구광역시 남구 대봉로 46 (봉덕동)<NA>한도슈퍼20091229112051I2018-08-31 23:59:59.0<NA>344867.147873261479.12414199602292009년11월법개정전자료
2439524396담배소매업11_43_02_P3470000200034700130560105019990303<NA>3폐업2폐업처리20011016<NA><NA><NA>053 6416092<NA><NA>대구광역시 달서구 상인동 1473호대구광역시 달서구 월곡로45길 49 (상인동)<NA>신세계할인마트20080223000000I2018-08-31 23:59:59.0<NA>339086.561527258074.11766<NA><NA>
2264822649담배소매업11_43_02_P3470000201734701170560000620170125<NA>3폐업2폐업처리20190513<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월곡로 294, 103동 101호 (상인동)42748GS25 영남고정문점20190513165907U2019-05-15 02:40:00.0<NA>338843.642547258862.21286720170125제7조의3제2항에따른경우
73887389담배소매업11_43_02_P3430000201534300950560007420151030<NA>3폐업2폐업처리20180724<NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 201번지 12호대구광역시 서구 서대구로8길 39, 1층 (내당동)41860내당 플라워20180724144857I2018-08-31 23:59:59.0<NA>340926.332517263553.0575520151030제7조의3제2항에따른경우
2310123102담배소매업11_43_02_P3470000200434700750560023020040817<NA>3폐업2폐업처리20060119<NA><NA><NA>053 6268087<NA><NA>대구광역시 달서구 두류동 636번지 1호대구광역시 달서구 야외음악당로39서길 83 (두류동)<NA>신우유통2호점20080223000000I2018-08-31 23:59:59.0<NA>340133.665843262399.264695<NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
2863828639담배소매업11_43_02_P3480000201534803260560001620150330<NA>3폐업2폐업처리20160516<NA><NA><NA><NA><NA>711842대구광역시 달성군 옥포면 강림리 1105번지 대구옥포LH천년나무2단지상가 104호대구광역시 달성군 옥포면 돌미로 51, 104호 (대구옥포LH천년나무2단지상가)711842주공마트20160516165636I2018-08-31 23:59:59.0<NA>329963.002301254372.20377520150330제7조의3제2항에따른경우
2230522306담배소매업11_43_02_P3470000200734701170560004720070514<NA>3폐업2폐업처리20100402<NA><NA><NA>053 5937199<NA><NA>대구광역시 달서구 갈산동 971호대구광역시 달서구 성서로 227 (갈산동)<NA>서울신문사구내매점20100402140421I2018-08-31 23:59:59.0<NA>336060.50923260707.148239200705142009년11월법개정전자료
2380623807담배소매업11_43_02_P3470000200734701170560012420070731<NA>3폐업2폐업처리20101027<NA><NA><NA>053-633-4536<NA>704360대구광역시 달서구 진천동 559번지 11호대구광역시 달서구 월배로23길 54 (진천동)<NA>코사마트진천점20101027111200I2018-08-31 23:59:59.0<NA>337838.110951258513.164579200707312009년11월법개정전자료
2227722278담배소매업11_43_02_P3470000200034700130560202020001113<NA>3폐업2폐업처리20011107<NA><NA><NA><NA><NA><NA>대구광역시 달서구 용산동 890번지 4호대구광역시 달서구 와룡로45길 72-10 (용산동)<NA>제일문구나라20080223000000I2018-08-31 23:59:59.0<NA>338431.810396262581.369065<NA><NA>
29792980담배소매업11_43_02_P3420000201034200900560004120100504<NA>3폐업2폐업처리20151207<NA><NA><NA>053-422-5041<NA>701832대구광역시 동구 신천1.2동 642번지 4호대구광역시 동구 국채보상로159길 67 (신천동)<NA>해성열쇠철물문구종합프라자20151207162837I2018-08-31 23:59:59.0<NA>345877.664189264629.17554920100504제7조의3제2항에따른경우
2574525746담배소매업11_43_02_P3470000201234701170560014420120824<NA>3폐업2폐업처리20150128<NA><NA><NA><NA><NA>704310대구광역시 달서구 대곡동 56번지 2호대구광역시 달서구 비슬로 2728-20 (대곡동)704310대백마트 대곡역점20150128160817I2018-08-31 23:59:59.0<NA>336897.46932257612.50955720120824제7조의3제2항에따른경우
21622163담배소매업11_43_02_P3410000201934101510560000220191220<NA>1영업/정상0정상영업<NA><NA><NA><NA>.<NA><NA>대구광역시 중구 남산동 2446번지 1호대구광역시 중구 남산로 56 (남산동)41970씨유남산황실점20191220091340I2019-12-22 00:23:25.0<NA>342891.699171263520.68953220191220제7조의3제2항에따른경우
2776527766담배소매업11_43_02_P3470000200534700750560029420051020<NA>1영업/정상0정상영업<NA><NA><NA><NA>053 5910375<NA><NA>대구광역시 달서구 월암동 1075호대구광역시 달서구 성서공단로 236 (월암동)<NA>경희구내매점20140721143732I2018-08-31 23:59:59.0<NA>336249.114209260423.280201200510202009년11월법개정전자료
32533254담배소매업11_43_02_P3420000198034200580560000219800630<NA>3폐업2폐업처리20051219<NA><NA><NA>053 9622686<NA><NA>대구광역시 동구 율하동 201호대구광역시 동구 반야월로20길 17-4 (율하동)<NA>영진슈퍼20080223000000I2018-08-31 23:59:59.0<NA>353353.43061264831.316233<NA><NA>
1608316084담배소매업11_43_02_P3450000200534500120560001120050121<NA>3폐업2폐업처리20060516<NA><NA><NA>053 3574494<NA><NA>대구광역시 북구 노원동3가 712번지 2호대구광역시 북구 노원로1길 12 (노원동3가)<NA>양민봉식당20080223000000I2018-08-31 23:59:59.0<NA>341042.358326266772.395177<NA><NA>