Overview

Dataset statistics

Number of variables31
Number of observations514
Missing cells4979
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory134.2 KiB
Average record size in memory267.3 B

Variable types

Numeric9
Categorical10
Unsupported8
Text3
DateTime1

Dataset

Description22년03월_6270000_대구광역시_08_26_05_P_후원방문판매업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092674&dataSetDetailId=DDI_0000092705&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
자본금의규모 has constant value ""Constant
인허가취소일자 has 514 (100.0%) missing valuesMissing
폐업일자 has 273 (53.1%) missing valuesMissing
휴업시작일자 has 514 (100.0%) missing valuesMissing
휴업종료일자 has 514 (100.0%) missing valuesMissing
재개업일자 has 514 (100.0%) missing valuesMissing
소재지전화 has 297 (57.8%) missing valuesMissing
소재지면적 has 514 (100.0%) missing valuesMissing
소재지우편번호 has 183 (35.6%) missing valuesMissing
도로명우편번호 has 514 (100.0%) missing valuesMissing
업태구분명 has 514 (100.0%) missing valuesMissing
좌표정보(X) has 57 (11.1%) missing valuesMissing
좌표정보(Y) has 57 (11.1%) missing valuesMissing
사업자등록번호 has 514 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
도로명우편번호 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
사업자등록번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 20:03:48.382254
Analysis finished2023-12-10 20:03:49.395062
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct514
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257.5
Minimum1
Maximum514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:03:49.530832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.65
Q1129.25
median257.5
Q3385.75
95-th percentile488.35
Maximum514
Range513
Interquartile range (IQR)256.5

Descriptive statistics

Standard deviation148.52329
Coefficient of variation (CV)0.57678946
Kurtosis-1.2
Mean257.5
Median Absolute Deviation (MAD)128.5
Skewness0
Sum132355
Variance22059.167
MonotonicityStrictly increasing
2023-12-11T05:03:49.760572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
387 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
Other values (504) 504
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
514 1
0.2%
513 1
0.2%
512 1
0.2%
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%
505 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
후원방문판매업체
514 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
후원방문판매업체 514
100.0%

Length

2023-12-11T05:03:49.977890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:50.156713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업체 514
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
08_26_05_P
514 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_05_P
2nd row08_26_05_P
3rd row08_26_05_P
4th row08_26_05_P
5th row08_26_05_P

Common Values

ValueCountFrequency (%)
08_26_05_P 514
100.0%

Length

2023-12-11T05:03:50.342729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:50.508541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_05_p 514
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
6270000
514 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 514
100.0%

Length

2023-12-11T05:03:50.742398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:50.912341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 514
100.0%

관리번호
Real number (ℝ)

Distinct10
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0177846 × 1019
Minimum2.013627 × 1019
Maximum2.022627 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:03:51.088289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.013627 × 1019
5-th percentile2.013627 × 1019
Q12.013627 × 1019
median2.017627 × 1019
Q32.021627 × 1019
95-th percentile2.022627 × 1019
Maximum2.022627 × 1019
Range9 × 1016
Interquartile range (IQR)8 × 1016

Descriptive statistics

Standard deviation3.6552815 × 1016
Coefficient of variation (CV)0.0018115321
Kurtosis-1.7860872
Mean2.0177846 × 1019
Median Absolute Deviation (MAD)4 × 1016
Skewness-0.044454564
Sum1.0371413 × 1022
Variance1.3361083 × 1033
MonotonicityNot monotonic
2023-12-11T05:03:51.307020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.0136270000301e+19 188
36.6%
2.0216270000301e+19 128
24.9%
2.0206270000301e+19 65
 
12.6%
2.0226270000301e+19 38
 
7.4%
2.0176270000301e+19 31
 
6.0%
2.0146270000301e+19 19
 
3.7%
2.0166270000301e+19 14
 
2.7%
2.0156270000301e+19 11
 
2.1%
2.0186270000301e+19 11
 
2.1%
2.0196270000301e+19 9
 
1.8%
ValueCountFrequency (%)
2.0136270000301e+19 188
36.6%
2.0146270000301e+19 19
 
3.7%
2.0156270000301e+19 11
 
2.1%
2.0166270000301e+19 14
 
2.7%
2.0176270000301e+19 31
 
6.0%
2.0186270000301e+19 11
 
2.1%
2.0196270000301e+19 9
 
1.8%
2.0206270000301e+19 65
 
12.6%
2.0216270000301e+19 128
24.9%
2.0226270000301e+19 38
 
7.4%
ValueCountFrequency (%)
2.0226270000301e+19 38
 
7.4%
2.0216270000301e+19 128
24.9%
2.0206270000301e+19 65
 
12.6%
2.0196270000301e+19 9
 
1.8%
2.0186270000301e+19 11
 
2.1%
2.0176270000301e+19 31
 
6.0%
2.0166270000301e+19 14
 
2.7%
2.0156270000301e+19 11
 
2.1%
2.0146270000301e+19 19
 
3.7%
2.0136270000301e+19 188
36.6%

인허가일자
Real number (ℝ)

Distinct128
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20172128
Minimum20130618
Maximum20220318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:03:51.547764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130618
5-th percentile20130715
Q120130808
median20170913
Q320210419
95-th percentile20220216
Maximum20220318
Range89700
Interquartile range (IQR)79611

Descriptive statistics

Standard deviation36607.467
Coefficient of variation (CV)0.0018147548
Kurtosis-1.7950671
Mean20172128
Median Absolute Deviation (MAD)40094
Skewness-0.04301527
Sum1.0368474 × 1010
Variance1.3401066 × 109
MonotonicityNot monotonic
2023-12-11T05:03:51.813775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130808 108
21.0%
20130819 32
 
6.2%
20130715 21
 
4.1%
20211217 16
 
3.1%
20220216 15
 
2.9%
20210419 14
 
2.7%
20211018 13
 
2.5%
20130812 13
 
2.5%
20210524 12
 
2.3%
20201223 12
 
2.3%
Other values (118) 258
50.2%
ValueCountFrequency (%)
20130618 10
 
1.9%
20130705 1
 
0.2%
20130715 21
 
4.1%
20130716 1
 
0.2%
20130807 1
 
0.2%
20130808 108
21.0%
20130812 13
 
2.5%
20130819 32
 
6.2%
20130822 3
 
0.6%
20130826 1
 
0.2%
ValueCountFrequency (%)
20220318 1
 
0.2%
20220311 10
1.9%
20220310 1
 
0.2%
20220216 15
2.9%
20220117 9
1.8%
20220113 1
 
0.2%
20220112 1
 
0.2%
20211228 2
 
0.4%
20211217 16
3.1%
20211215 1
 
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
259 
3
247 
4
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 259
50.4%
3 247
48.1%
4 8
 
1.6%

Length

2023-12-11T05:03:52.027089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:52.188931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 259
50.4%
3 247
48.1%
4 8
 
1.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업/정상
259 
폐업
247 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length3.6984436
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 259
50.4%
폐업 247
48.1%
취소/말소/만료/정지/중지 8
 
1.6%

Length

2023-12-11T05:03:52.361088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:52.518082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 259
50.4%
폐업 247
48.1%
취소/말소/만료/정지/중지 8
 
1.6%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
4
247 
BBBB
150 
2
107 
6
 
8
1
 
2

Length

Max length4
Median length1
Mean length1.8754864
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
4 247
48.1%
BBBB 150
29.2%
2 107
20.8%
6 8
 
1.6%
1 2
 
0.4%

Length

2023-12-11T05:03:52.699964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:52.903611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 247
48.1%
bbbb 150
29.2%
2 107
20.8%
6 8
 
1.6%
1 2
 
0.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업
259 
폐업
247 
직권말소
 
8

Length

Max length4
Median length2
Mean length2.0311284
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 259
50.4%
폐업 247
48.1%
직권말소 8
 
1.6%

Length

2023-12-11T05:03:53.101518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:53.335515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 259
50.4%
폐업 247
48.1%
직권말소 8
 
1.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct178
Distinct (%)73.9%
Missing273
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean20184290
Minimum20131029
Maximum20220328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:03:53.582731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131029
5-th percentile20140313
Q120160510
median20190517
Q320210630
95-th percentile20220204
Maximum20220328
Range89299
Interquartile range (IQR)50120

Descriptive statistics

Standard deviation26508.741
Coefficient of variation (CV)0.0013133353
Kurtosis-1.2968039
Mean20184290
Median Absolute Deviation (MAD)20314
Skewness-0.30785295
Sum4.8644139 × 109
Variance7.0271333 × 108
MonotonicityNot monotonic
2023-12-11T05:03:53.836755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211001 10
 
1.9%
20210901 7
 
1.4%
20150227 5
 
1.0%
20220317 4
 
0.8%
20140228 4
 
0.8%
20211201 4
 
0.8%
20220110 4
 
0.8%
20210501 3
 
0.6%
20131029 3
 
0.6%
20210728 3
 
0.6%
Other values (168) 194
37.7%
(Missing) 273
53.1%
ValueCountFrequency (%)
20131029 3
0.6%
20140219 2
0.4%
20140227 1
 
0.2%
20140228 4
0.8%
20140305 1
 
0.2%
20140312 1
 
0.2%
20140313 1
 
0.2%
20140519 1
 
0.2%
20140520 2
0.4%
20140624 1
 
0.2%
ValueCountFrequency (%)
20220328 2
0.4%
20220318 1
 
0.2%
20220317 4
0.8%
20220315 2
0.4%
20220314 1
 
0.2%
20220302 1
 
0.2%
20220221 1
 
0.2%
20220204 1
 
0.2%
20220203 1
 
0.2%
20220110 4
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)88.5%
Missing297
Missing (%)57.8%
Infinite0
Infinite (%)0.0%
Mean5.4900899 × 108
Minimum15661678
Maximum5.3157796 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:03:54.122217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15661678
5-th percentile5.3264871 × 108
Q15.3523943 × 108
median5.3633634 × 108
Q35.3762883 × 108
95-th percentile5.3963738 × 108
Maximum5.3157796 × 109
Range5.3001179 × 109
Interquartile range (IQR)2389400

Descriptive statistics

Standard deviation3.3251229 × 108
Coefficient of variation (CV)0.6056591
Kurtosis198.11847
Mean5.4900899 × 108
Median Absolute Deviation (MAD)1203893
Skewness13.690332
Sum1.1913495 × 1011
Variance1.1056442 × 1017
MonotonicityNot monotonic
2023-12-11T05:03:54.350053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
539570755 3
 
0.6%
539582983 2
 
0.4%
536336667 2
 
0.4%
535526914 2
 
0.4%
535855232 2
 
0.4%
539853966 2
 
0.4%
537415686 2
 
0.4%
536290010 2
 
0.4%
536506652 2
 
0.4%
539522290 2
 
0.4%
Other values (182) 196
38.1%
(Missing) 297
57.8%
ValueCountFrequency (%)
15661678 1
0.2%
16443134 1
0.2%
16447645 1
0.2%
25557600 1
0.2%
532152200 1
0.2%
532154575 1
0.2%
532195660 1
0.2%
532522488 1
0.2%
532553042 1
0.2%
532564203 1
0.2%
ValueCountFrequency (%)
5315779559 1
0.2%
553563302 1
0.2%
539853966 2
0.4%
539819818 1
0.2%
539810488 1
0.2%
539659114 1
0.2%
539658668 1
0.2%
539648288 2
0.4%
539640078 1
0.2%
539636707 1
0.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct271
Distinct (%)81.9%
Missing183
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean162091.14
Minimum41003
Maximum711837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:03:54.603272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41003
5-th percentile41067.5
Q141654.5
median42284
Q342922
95-th percentile705807.5
Maximum711837
Range670834
Interquartile range (IQR)1267.5

Descriptive statistics

Standard deviation255414.34
Coefficient of variation (CV)1.5757453
Kurtosis0.76800632
Mean162091.14
Median Absolute Deviation (MAD)638
Skewness1.6623022
Sum53652166
Variance6.5236485 × 1010
MonotonicityNot monotonic
2023-12-11T05:03:54.896312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42922 5
 
1.0%
42633 3
 
0.6%
41064 3
 
0.6%
42259 3
 
0.6%
42150 3
 
0.6%
704821 3
 
0.6%
41003 3
 
0.6%
41593 3
 
0.6%
43008 3
 
0.6%
42802 3
 
0.6%
Other values (261) 299
58.2%
(Missing) 183
35.6%
ValueCountFrequency (%)
41003 3
0.6%
41009 1
 
0.2%
41024 1
 
0.2%
41026 1
 
0.2%
41034 1
 
0.2%
41036 1
 
0.2%
41041 1
 
0.2%
41043 1
 
0.2%
41048 1
 
0.2%
41063 1
 
0.2%
ValueCountFrequency (%)
711837 1
0.2%
711813 1
0.2%
706838 1
0.2%
706836 1
0.2%
706835 1
0.2%
706828 1
0.2%
706823 1
0.2%
706816 1
0.2%
706808 1
0.2%
706745 1
0.2%

소재지전체주소
Text

Distinct297
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T05:03:55.315358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length23.509728
Min length1

Characters and Unicode

Total characters12084
Distinct characters271
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique251 ?
Unique (%)48.8%

Sample

1st row대구광역시 중구 남산동 ***번지 *호
2nd row대구광역시 남구 대명동 ****번지 **호
3rd row
4th row
5th row대구광역시 북구 침산동 ***번지 대명빌딩B ***호
ValueCountFrequency (%)
호 541
23.1%
대구광역시 361
15.4%
번지 358
15.3%
동 138
 
5.9%
달서구 80
 
3.4%
수성구 71
 
3.0%
동구 65
 
2.8%
북구 45
 
1.9%
달성군 33
 
1.4%
중구 26
 
1.1%
Other values (271) 625
26.7%
2023-12-11T05:03:56.158984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2719
22.5%
2628
21.7%
구 714
 
5.9%
동 562
 
4.7%
호 555
 
4.6%
대 423
 
3.5%
지 399
 
3.3%
시 391
 
3.2%
역 369
 
3.1%
광 363
 
3.0%
Other values (261) 2961
24.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6715
55.6%
Other Punctuation 2723
22.5%
Space Separator 2628
 
21.7%
Dash Punctuation 7
 
0.1%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 714
 
10.6%
동 562
 
8.4%
호 555
 
8.3%
대 423
 
6.3%
지 399
 
5.9%
시 391
 
5.8%
역 369
 
5.5%
광 363
 
5.4%
번 358
 
5.3%
성 185
 
2.8%
Other values (250) 2396
35.7%
Other Punctuation
ValueCountFrequency (%)
* 2719
99.9%
, 3
 
0.1%
· 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
H 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
2628
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6715
55.6%
Common 5362
44.4%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 714
 
10.6%
동 562
 
8.4%
호 555
 
8.3%
대 423
 
6.3%
지 399
 
5.9%
시 391
 
5.8%
역 369
 
5.5%
광 363
 
5.4%
번 358
 
5.3%
성 185
 
2.8%
Other values (250) 2396
35.7%
Common
ValueCountFrequency (%)
* 2719
50.7%
2628
49.0%
- 7
 
0.1%
, 3
 
0.1%
) 2
 
< 0.1%
( 2
 
< 0.1%
· 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 3
42.9%
B 2
28.6%
H 1
 
14.3%
L 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6715
55.6%
ASCII 5368
44.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2719
50.7%
2628
49.0%
- 7
 
0.1%
, 3
 
0.1%
e 3
 
0.1%
) 2
 
< 0.1%
( 2
 
< 0.1%
B 2
 
< 0.1%
H 1
 
< 0.1%
L 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 714
 
10.6%
동 562
 
8.4%
호 555
 
8.3%
대 423
 
6.3%
지 399
 
5.9%
시 391
 
5.8%
역 369
 
5.5%
광 363
 
5.4%
번 358
 
5.3%
성 185
 
2.8%
Other values (250) 2396
35.7%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

Distinct460
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T05:03:56.746286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length32.708171
Min length20

Characters and Unicode

Total characters16812
Distinct characters303
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique420 ?
Unique (%)81.7%

Sample

1st row대구광역시 중구 중앙대로 ***, *층 (남산동)
2nd row대구광역시 남구 대명남로 ** (대명동)
3rd row대구광역시 북구 칠곡중앙대로 **-**, *층 (태전동)
4th row대구광역시 수성구 달구벌대로 ****, *층 (신매동)
5th row대구광역시 북구 침산남로 ***-*, ***호 (침산동,대명빌딩B)
ValueCountFrequency (%)
대구광역시 514
 
16.0%
503
 
15.6%
층 165
 
5.1%
동 140
 
4.3%
호 122
 
3.8%
달서구 120
 
3.7%
수성구 109
 
3.4%
동구 89
 
2.8%
북구 63
 
2.0%
달구벌대로 41
 
1.3%
Other values (583) 1355
42.1%
2023-12-11T05:03:57.893827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3020
18.0%
2707
16.1%
구 1099
 
6.5%
동 805
 
4.8%
대 712
 
4.2%
시 547
 
3.3%
역 526
 
3.1%
, 526
 
3.1%
로 519
 
3.1%
광 519
 
3.1%
Other values (293) 5832
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9470
56.3%
Other Punctuation 3547
 
21.1%
Space Separator 2707
 
16.1%
Open Punctuation 499
 
3.0%
Close Punctuation 499
 
3.0%
Dash Punctuation 81
 
0.5%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1099
 
11.6%
동 805
 
8.5%
대 712
 
7.5%
시 547
 
5.8%
역 526
 
5.6%
로 519
 
5.5%
광 519
 
5.5%
성 272
 
2.9%
호 240
 
2.5%
달 219
 
2.3%
Other values (281) 4012
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
D 1
 
16.7%
H 1
 
16.7%
L 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
* 3020
85.1%
, 526
 
14.8%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2707
100.0%
Open Punctuation
ValueCountFrequency (%)
( 499
100.0%
Close Punctuation
ValueCountFrequency (%)
) 499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9470
56.3%
Common 7333
43.6%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1099
 
11.6%
동 805
 
8.5%
대 712
 
7.5%
시 547
 
5.8%
역 526
 
5.6%
로 519
 
5.5%
광 519
 
5.5%
성 272
 
2.9%
호 240
 
2.5%
달 219
 
2.3%
Other values (281) 4012
42.4%
Common
ValueCountFrequency (%)
* 3020
41.2%
2707
36.9%
, 526
 
7.2%
( 499
 
6.8%
) 499
 
6.8%
- 81
 
1.1%
· 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 3
33.3%
B 3
33.3%
D 1
 
11.1%
H 1
 
11.1%
L 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9470
56.3%
ASCII 7341
43.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3020
41.1%
2707
36.9%
, 526
 
7.2%
( 499
 
6.8%
) 499
 
6.8%
- 81
 
1.1%
e 3
 
< 0.1%
B 3
 
< 0.1%
D 1
 
< 0.1%
H 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 1099
 
11.6%
동 805
 
8.5%
대 712
 
7.5%
시 547
 
5.8%
역 526
 
5.6%
로 519
 
5.5%
광 519
 
5.5%
성 272
 
2.9%
호 240
 
2.5%
달 219
 
2.3%
Other values (281) 4012
42.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

사업장명
Text

Distinct499
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T05:03:58.940215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.0466926
Min length2

Characters and Unicode

Total characters4136
Distinct characters359
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique489 ?
Unique (%)95.1%

Sample

1st row한국화장품 반월대리점
2nd row한국화장품(주) 남부대리점
3rd row마임 칠곡 태전지사
4th row시지고산대리점
5th row오휘북구지사
ValueCountFrequency (%)
인셀덤 90
 
10.3%
마임 38
 
4.4%
아모레 31
 
3.6%
오휘 25
 
2.9%
김정문알로에 14
 
1.6%
주식회사 13
 
1.5%
특약점 13
 
1.5%
유니베라 11
 
1.3%
아모레퍼시픽 10
 
1.1%
대구 9
 
1.0%
Other values (525) 617
70.8%
2023-12-11T05:03:59.911107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
375
 
9.1%
인 171
 
4.1%
점 159
 
3.8%
셀 158
 
3.8%
대 157
 
3.8%
덤 155
 
3.7%
지 135
 
3.3%
리 117
 
2.8%
사 114
 
2.8%
구 97
 
2.3%
Other values (349) 2498
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3551
85.9%
Space Separator 375
 
9.1%
Uppercase Letter 85
 
2.1%
Lowercase Letter 59
 
1.4%
Open Punctuation 24
 
0.6%
Close Punctuation 24
 
0.6%
Other Punctuation 9
 
0.2%
Decimal Number 7
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 171
 
4.8%
점 159
 
4.5%
셀 158
 
4.4%
대 157
 
4.4%
덤 155
 
4.4%
지 135
 
3.8%
리 117
 
3.3%
사 114
 
3.2%
구 97
 
2.7%
아 62
 
1.7%
Other values (295) 2226
62.7%
Uppercase Letter
ValueCountFrequency (%)
O 7
 
8.2%
E 7
 
8.2%
M 6
 
7.1%
C 6
 
7.1%
L 6
 
7.1%
R 5
 
5.9%
A 5
 
5.9%
N 5
 
5.9%
S 5
 
5.9%
I 4
 
4.7%
Other values (11) 29
34.1%
Lowercase Letter
ValueCountFrequency (%)
r 6
10.2%
e 6
10.2%
o 6
10.2%
s 5
 
8.5%
i 5
 
8.5%
n 4
 
6.8%
t 4
 
6.8%
d 4
 
6.8%
l 3
 
5.1%
y 3
 
5.1%
Other values (10) 13
22.0%
Other Punctuation
ValueCountFrequency (%)
, 3
33.3%
. 2
22.2%
& 2
22.2%
# 1
 
11.1%
: 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
2 1
 
14.3%
8 1
 
14.3%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
375
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3548
85.8%
Common 441
 
10.7%
Latin 144
 
3.5%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 171
 
4.8%
점 159
 
4.5%
셀 158
 
4.5%
대 157
 
4.4%
덤 155
 
4.4%
지 135
 
3.8%
리 117
 
3.3%
사 114
 
3.2%
구 97
 
2.7%
아 62
 
1.7%
Other values (292) 2223
62.7%
Latin
ValueCountFrequency (%)
O 7
 
4.9%
E 7
 
4.9%
M 6
 
4.2%
r 6
 
4.2%
e 6
 
4.2%
C 6
 
4.2%
L 6
 
4.2%
o 6
 
4.2%
s 5
 
3.5%
R 5
 
3.5%
Other values (31) 84
58.3%
Common
ValueCountFrequency (%)
375
85.0%
( 24
 
5.4%
) 24
 
5.4%
1 4
 
0.9%
, 3
 
0.7%
- 2
 
0.5%
. 2
 
0.5%
& 2
 
0.5%
2 1
 
0.2%
# 1
 
0.2%
Other values (3) 3
 
0.7%
Han
ValueCountFrequency (%)
女 1
33.3%
美 1
33.3%
峯 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3548
85.8%
ASCII 585
 
14.1%
CJK 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
375
64.1%
( 24
 
4.1%
) 24
 
4.1%
O 7
 
1.2%
E 7
 
1.2%
M 6
 
1.0%
r 6
 
1.0%
e 6
 
1.0%
C 6
 
1.0%
L 6
 
1.0%
Other values (44) 118
 
20.2%
Hangul
ValueCountFrequency (%)
인 171
 
4.8%
점 159
 
4.5%
셀 158
 
4.5%
대 157
 
4.4%
덤 155
 
4.4%
지 135
 
3.8%
리 117
 
3.3%
사 114
 
3.2%
구 97
 
2.7%
아 62
 
1.7%
Other values (292) 2223
62.7%
CJK
ValueCountFrequency (%)
女 1
33.3%
美 1
33.3%
峯 1
33.3%

최종수정시점
Real number (ℝ)

Distinct245
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0196492 × 1013
Minimum2.0131029 × 1013
Maximum2.022033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:04:00.199216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0131029 × 1013
5-th percentile2.0141179 × 1013
Q12.0180104 × 1013
median2.0210415 × 1013
Q32.0211126 × 1013
95-th percentile2.0220309 × 1013
Maximum2.022033 × 1013
Range8.9301 × 1010
Interquartile range (IQR)3.102225 × 1010

Descriptive statistics

Standard deviation2.4606015 × 1010
Coefficient of variation (CV)0.0012183312
Kurtosis-0.28088333
Mean2.0196492 × 1013
Median Absolute Deviation (MAD)9.702 × 109
Skewness-1.0163045
Sum1.0380997 × 1016
Variance6.0545599 × 1020
MonotonicityNot monotonic
2023-12-11T05:04:00.491390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220114000000 29
 
5.6%
20210415000000 19
 
3.7%
20170517000000 18
 
3.5%
20220216000000 15
 
2.9%
20211217000000 15
 
2.9%
20211018000000 10
 
1.9%
20220311000000 10
 
1.9%
20211116000000 9
 
1.8%
20210720000000 9
 
1.8%
20220117000000 8
 
1.6%
Other values (235) 372
72.4%
ValueCountFrequency (%)
20131029000000 2
0.4%
20140219000000 2
0.4%
20140227000000 1
 
0.2%
20140228000000 4
0.8%
20140305000000 1
 
0.2%
20140312000000 1
 
0.2%
20140313000000 1
 
0.2%
20140519000000 1
 
0.2%
20140520000000 2
0.4%
20140717000000 1
 
0.2%
ValueCountFrequency (%)
20220330000000 1
 
0.2%
20220328000000 4
 
0.8%
20220318000000 7
1.4%
20220315000000 3
 
0.6%
20220311000000 10
1.9%
20220310000000 1
 
0.2%
20220308000000 3
 
0.6%
20220305000000 1
 
0.2%
20220304000000 1
 
0.2%
20220303000000 1
 
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
I
284 
U
230 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 284
55.3%
U 230
44.7%

Length

2023-12-11T05:04:00.759884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:00.945535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 284
55.3%
u 230
44.7%

데이터갱신일자
Date

Distinct157
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-01 02:40:00
2023-12-11T05:04:01.131854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:04:01.390460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct398
Distinct (%)87.1%
Missing57
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean343542.78
Minimum328728
Maximum358200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:04:01.674435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328728
5-th percentile335156.85
Q1339825.65
median343690.62
Q3346719.6
95-th percentile354173.97
Maximum358200
Range29472
Interquartile range (IQR)6893.9504

Descriptive statistics

Standard deviation5465.6781
Coefficient of variation (CV)0.015909745
Kurtosis0.011726841
Mean343542.78
Median Absolute Deviation (MAD)3785.2728
Skewness0.20009529
Sum1.5699905 × 108
Variance29873637
MonotonicityNot monotonic
2023-12-11T05:04:01.917641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
333588.0 3
 
0.6%
340142.053784 3
 
0.6%
339825.647172 3
 
0.6%
350650.801737 3
 
0.6%
339854.76811 3
 
0.6%
344686.259338 3
 
0.6%
345833.933916 3
 
0.6%
339899.759247 3
 
0.6%
350161.349317 2
 
0.4%
346363.167139 2
 
0.4%
Other values (388) 429
83.5%
(Missing) 57
 
11.1%
ValueCountFrequency (%)
328728.0 1
0.2%
330025.0 1
0.2%
330451.539067 1
0.2%
330472.771478 1
0.2%
330791.0 1
0.2%
331126.0 1
0.2%
331174.23034 1
0.2%
331695.325802 1
0.2%
332074.47094 1
0.2%
332529.049747 1
0.2%
ValueCountFrequency (%)
358200.0 1
0.2%
357559.0 2
0.4%
356310.917659 1
0.2%
355684.783405 2
0.4%
355681.445461 2
0.4%
355664.598169 1
0.2%
355581.134258 1
0.2%
355541.818806 1
0.2%
355286.0 1
0.2%
355135.265348 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct398
Distinct (%)87.1%
Missing57
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean263142.99
Minimum240385
Maximum274562.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-11T05:04:02.125184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240385
5-th percentile257780.76
Q1261199.02
median263302.43
Q3265104.9
95-th percentile270049.9
Maximum274562.78
Range34177.777
Interquartile range (IQR)3905.8827

Descriptive statistics

Standard deviation4045.6756
Coefficient of variation (CV)0.015374438
Kurtosis5.7046264
Mean263142.99
Median Absolute Deviation (MAD)2032.0515
Skewness-1.0402451
Sum1.2025635 × 108
Variance16367491
MonotonicityNot monotonic
2023-12-11T05:04:02.345919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265019.0 3
 
0.6%
260153.337927 3
 
0.6%
259446.201377 3
 
0.6%
265683.768049 3
 
0.6%
259712.725878 3
 
0.6%
263958.880864 3
 
0.6%
265804.01386 3
 
0.6%
262694.927283 3
 
0.6%
265987.196633 2
 
0.4%
265902.254173 2
 
0.4%
Other values (388) 429
83.5%
(Missing) 57
 
11.1%
ValueCountFrequency (%)
240385.0 1
0.2%
244374.0 1
0.2%
244385.0 1
0.2%
244908.0 1
0.2%
245132.142998 1
0.2%
248716.764731 1
0.2%
248737.801438 1
0.2%
252862.334188 1
0.2%
254144.0 1
0.2%
255641.350864 1
0.2%
ValueCountFrequency (%)
274562.776925 1
0.2%
273228.289745 1
0.2%
272775.300038 2
0.4%
272724.122976 1
0.2%
272680.634722 1
0.2%
272636.919043 1
0.2%
272411.512877 1
0.2%
272245.219312 1
0.2%
271916.735702 1
0.2%
271899.697217 1
0.2%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
후원방문판매업
514 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
후원방문판매업 514
100.0%

Length

2023-12-11T05:04:02.582654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:02.734401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업 514
100.0%

자본금의규모
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
514 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 514
100.0%

Length

2023-12-11T05:04:02.912869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:03.076435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 514
100.0%

사업자등록번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing514
Missing (%)100.0%
Memory size4.6 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
01후원방문판매업체08_26_05_P62700002014627000030100001620130618<NA>1영업/정상1영업<NA><NA><NA><NA>534284136<NA>700831대구광역시 중구 남산동 ***번지 *호대구광역시 중구 중앙대로 ***, *층 (남산동)<NA>한국화장품 반월대리점20140924000000I2018-08-31 23:59:59.0<NA>343798.804367263691.65569후원방문판매업0<NA>
12후원방문판매업체08_26_05_P62700002013627000030100018520130618<NA>1영업/정상1영업<NA><NA><NA><NA>536270916<NA>705813대구광역시 남구 대명동 ****번지 **호대구광역시 남구 대명남로 ** (대명동)<NA>한국화장품(주) 남부대리점20140924000000I2018-08-31 23:59:59.0<NA>340949.409792260459.921422후원방문판매업0<NA>
23후원방문판매업체08_26_05_P62700002013627000030100007620130808<NA>1영업/정상2영업<NA><NA><NA><NA>533118557<NA><NA>대구광역시 북구 칠곡중앙대로 **-**, *층 (태전동)<NA>마임 칠곡 태전지사20170908000000I2018-08-31 23:59:59.0<NA><NA><NA>후원방문판매업0<NA>
34후원방문판매업체08_26_05_P62700002013627000030100008920130808<NA>1영업/정상2영업<NA><NA><NA><NA>537951237<NA><NA>대구광역시 수성구 달구벌대로 ****, *층 (신매동)<NA>시지고산대리점20170517000000I2018-08-31 23:59:59.0<NA>355019.243239261011.881029후원방문판매업0<NA>
45후원방문판매업체08_26_05_P62700002013627000030100015820130819<NA>1영업/정상2영업<NA><NA><NA><NA>533419966<NA>702856대구광역시 북구 침산동 ***번지 대명빌딩B ***호대구광역시 북구 침산남로 ***-*, ***호 (침산동,대명빌딩B)<NA>오휘북구지사20220114000000U2022-01-16 02:40:00.0<NA>343955.841626266351.900565후원방문판매업0<NA>
56후원방문판매업체08_26_05_P62700002013627000030100004320130808<NA>1영업/정상2영업<NA><NA><NA><NA>533228971<NA><NA>대구광역시 북구 칠곡중앙대로***길 ***, *층 (관음동)<NA>아모레 퍼시픽 방판칠곡특약점20210415000000U2021-04-17 02:40:00.0<NA><NA><NA>후원방문판매업0<NA>
67후원방문판매업체08_26_05_P62700002013627000030100004520130808<NA>1영업/정상2영업<NA><NA><NA><NA>537928353<NA><NA>대구광역시 수성구 고산로 ***-** (매호동)<NA>아모레 퍼시픽 미래 특약점20210415000000U2021-04-17 02:40:00.0<NA>353881.314164261575.20856후원방문판매업0<NA>
78후원방문판매업체08_26_05_P62700002013627000030100016020130819<NA>1영업/정상2영업<NA><NA><NA><NA>536211030<NA>42783대구광역시 달서구 월성동 ****번지 *호 *동 ***호대구광역시 달서구 월서로 **-*, *동 ***호(월성동)<NA>오휘 달서지사20220114000000U2022-01-16 02:40:00.0<NA><NA><NA>후원방문판매업0<NA>
89후원방문판매업체08_26_05_P62700002013627000030100016220130819<NA>1영업/정상2영업<NA><NA><NA><NA>536543203<NA><NA>대구광역시 달서구 성당로 *** (성당동)<NA>오휘 대구지사20220114000000U2022-01-16 02:40:00.0<NA>341709.814886262120.008216후원방문판매업0<NA>
910후원방문판매업체08_26_05_P62700002013627000030100016520130819<NA>1영업/정상2영업<NA><NA><NA><NA>537535770<NA><NA>대구광역시 수성구 신천동로 **-**, *층 (수성동*가)<NA>대구중앙지사20220114000000U2022-01-16 02:40:00.0<NA><NA><NA>후원방문판매업0<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
504505후원방문판매업체08_26_05_P62700002021627000030100001920210223<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41593대구광역시 북구 칠성동*가 *번지 *호 침산*차푸르지오 ***동 ***호대구광역시 북구 옥산로 ***, ***동 ***호 (칠성동*가, 침산*차 푸르지오)<NA>유성 인셀덤20210223000000I2021-02-25 00:23:01.0<NA>343260.639405266077.818455후원방문판매업0<NA>
505506후원방문판매업체08_26_05_P62700002021627000030100002020210317<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42773대구광역시 달서구 진천동 ***번지 *호 진천역대성스카이렉스아파트 ***동 ****호대구광역시 달서구 월배로 **, ***동 ****호 (진천동, 진천역대성스카이렉스아파트)<NA>인셀덤X보타랩 플렉스20210325000000U2021-03-27 02:40:00.0<NA>337646.464781258084.521531후원방문판매업0<NA>
506507후원방문판매업체08_26_05_P62700002021627000030100002520210317<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42802대구광역시 달서구 상인동 ****번지 *호 상인화성파크드림*단지아파트 ****동 ****호대구광역시 달서구 송현로*길 **, ****동 ****호 (상인동, 상인화성파크드림*단지아파트)<NA>미라클S20210317000000I2021-03-19 00:22:59.0<NA>339825.647172259446.201377후원방문판매업0<NA>
507508후원방문판매업체08_26_05_P62700002020627000030100005820201223<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41910대구광역시 중구 북성로*가 *번지 *호 대구스테이션센터 *호대구광역시 중구 태평로 ***, 대구스테이션센터 *층 *호 (북성로*가)<NA>리만코리아대구20201223000000I2020-12-25 00:23:06.0<NA>343991.737064265000.0215후원방문판매업0<NA>
508509후원방문판매업체08_26_05_P62700002020627000030100005920201223<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42752대구광역시 달서구 월성동 ***번지 *호 월성푸르지오 ***동 ***호대구광역시 달서구 조암로*길 **, ***동 ***호 (월성동, 월성푸르지오)<NA>리만 모드니20201223000000I2020-12-25 00:23:06.0<NA>338067.382917259859.274089후원방문판매업0<NA>
509510후원방문판매업체08_26_05_P62700002020627000030100006120201223<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41948대구광역시 중구 삼덕동*가 ***번지 *호대구광역시 중구 달구벌대로***길 **, *층 (삼덕동*가)<NA>인셀덤KOREA20201223000000I2020-12-25 00:23:06.0<NA>345143.259365263892.213498후원방문판매업0<NA>
510511후원방문판매업체08_26_05_P62700002020627000030100006220201223<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41945대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 동덕로**길 **-*, *층 (동인동*가)<NA>대구인셀덤X보타랩발라또20201223000000I2020-12-25 00:23:06.0<NA>345092.459868264166.123313후원방문판매업0<NA>
511512후원방문판매업체08_26_05_P62700002021627000030100000120210122<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 ****번지 *호대구광역시 수성구 지범로**안길 *-* (지산동)<NA>재웅인셀덤20210122000000I2021-01-24 00:23:04.0<NA>348164.035814259519.204573후원방문판매업0<NA>
512513후원방문판매업체08_26_05_P62700002021627000030100000620210122<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42802대구광역시 달서구 상인동 ****번지 *호 상인화성파크드림*단지아파트 ****동 ****호대구광역시 달서구 송현로*길 **, ****동 ****호 (상인동, 상인화성파크드림*단지아파트)<NA>오로라 인셀덤20210122000000I2021-01-24 00:23:04.0<NA>339825.647172259446.201377후원방문판매업0<NA>
513514후원방문판매업체08_26_05_P62700002021627000030100000720210122<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42930대구광역시 달성군 다사읍 세천리 ****번지 *호 현대썬앤빌 ***동 ****호대구광역시 달성군 다사읍 세천로 ***-**, ***동 ****호 (현대썬앤빌)<NA>인셀덤(리베)20210122000000I2021-01-24 00:23:04.0<NA>333651.0264780.0후원방문판매업0<NA>