Overview

Dataset statistics

Number of variables30
Number of observations432
Missing cells3760
Missing cells (%)29.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory109.0 KiB
Average record size in memory258.3 B

Variable types

Numeric9
Categorical10
Unsupported7
Text3
DateTime1

Dataset

Description6270000_대구광역시_08_26_05_P_후원방문판매업체_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090866&dataSetDetailId=DDI_0000090897&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
자본금의규모 has constant value ""Constant
인허가취소일자 has 432 (100.0%) missing valuesMissing
폐업일자 has 236 (54.6%) missing valuesMissing
휴업시작일자 has 432 (100.0%) missing valuesMissing
휴업종료일자 has 432 (100.0%) missing valuesMissing
재개업일자 has 432 (100.0%) missing valuesMissing
소재지전화 has 218 (50.5%) missing valuesMissing
소재지면적 has 432 (100.0%) missing valuesMissing
소재지우편번호 has 180 (41.7%) missing valuesMissing
도로명우편번호 has 432 (100.0%) missing valuesMissing
업태구분명 has 432 (100.0%) missing valuesMissing
좌표정보(X) has 51 (11.8%) missing valuesMissing
좌표정보(Y) has 51 (11.8%) 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

Reproduction

Analysis started2023-12-10 19:04:06.660744
Analysis finished2023-12-10 19:04:07.422063
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct432
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.5
Minimum1
Maximum432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:07.507001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.55
Q1108.75
median216.5
Q3324.25
95-th percentile410.45
Maximum432
Range431
Interquartile range (IQR)215.5

Descriptive statistics

Standard deviation124.85191
Coefficient of variation (CV)0.5766832
Kurtosis-1.2
Mean216.5
Median Absolute Deviation (MAD)108
Skewness0
Sum93528
Variance15588
MonotonicityStrictly increasing
2023-12-11T04:04:07.683011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
286 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
Other values (422) 422
97.7%
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 (%)
432 1
0.2%
431 1
0.2%
430 1
0.2%
429 1
0.2%
428 1
0.2%
427 1
0.2%
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
후원방문판매업체
432 

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 432
100.0%

Length

2023-12-11T04:04:07.846496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:07.974782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업체 432
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
08_26_05_P
432 

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 432
100.0%

Length

2023-12-11T04:04:08.125399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:08.261243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_05_p 432
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
6270000
432 

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 432
100.0%

Length

2023-12-11T04:04:08.371993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:08.487833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 432
100.0%

관리번호
Real number (ℝ)

Distinct9
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0169488 × 1019
Minimum2.013627 × 1019
Maximum2.021627 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:08.616131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.013627 × 1019
5-th percentile2.013627 × 1019
Q12.013627 × 1019
median2.015627 × 1019
Q32.020627 × 1019
95-th percentile2.021627 × 1019
Maximum2.021627 × 1019
Range8 × 1016
Interquartile range (IQR)7 × 1016

Descriptive statistics

Standard deviation3.4061073 × 1016
Coefficient of variation (CV)0.0016887426
Kurtosis-1.7026804
Mean2.0169488 × 1019
Median Absolute Deviation (MAD)2 × 1016
Skewness0.28007194
Sum8.7132186 × 1021
Variance1.1601567 × 1033
MonotonicityNot monotonic
2023-12-11T04:04:08.785658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.0136270000301e+19 188
43.5%
2.0216270000301e+19 82
19.0%
2.0206270000301e+19 66
 
15.3%
2.0176270000301e+19 31
 
7.2%
2.0146270000301e+19 20
 
4.6%
2.0166270000301e+19 14
 
3.2%
2.0186270000301e+19 11
 
2.5%
2.0156270000301e+19 11
 
2.5%
2.0196270000301e+19 9
 
2.1%
ValueCountFrequency (%)
2.0136270000301e+19 188
43.5%
2.0146270000301e+19 20
 
4.6%
2.0156270000301e+19 11
 
2.5%
2.0166270000301e+19 14
 
3.2%
2.0176270000301e+19 31
 
7.2%
2.0186270000301e+19 11
 
2.5%
2.0196270000301e+19 9
 
2.1%
2.0206270000301e+19 66
 
15.3%
2.0216270000301e+19 82
19.0%
ValueCountFrequency (%)
2.0216270000301e+19 82
19.0%
2.0206270000301e+19 66
 
15.3%
2.0196270000301e+19 9
 
2.1%
2.0186270000301e+19 11
 
2.5%
2.0176270000301e+19 31
 
7.2%
2.0166270000301e+19 14
 
3.2%
2.0156270000301e+19 11
 
2.5%
2.0146270000301e+19 20
 
4.6%
2.0136270000301e+19 188
43.5%

인허가일자
Real number (ℝ)

Distinct116
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20163742
Minimum20130618
Maximum20210820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:08.951264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130618
5-th percentile20130715
Q120130808
median20151211
Q320201022
95-th percentile20210568
Maximum20210820
Range80202
Interquartile range (IQR)70214

Descriptive statistics

Standard deviation34100.132
Coefficient of variation (CV)0.0016911609
Kurtosis-1.7092182
Mean20163742
Median Absolute Deviation (MAD)20403
Skewness0.28385762
Sum8.7107363 × 109
Variance1.162819 × 109
MonotonicityNot monotonic
2023-12-11T04:04:09.151597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130808 108
25.0%
20130819 32
 
7.4%
20130715 21
 
4.9%
20210419 14
 
3.2%
20130812 13
 
3.0%
20201223 12
 
2.8%
20210223 12
 
2.8%
20210524 12
 
2.8%
20200302 10
 
2.3%
20210720 10
 
2.3%
Other values (106) 188
43.5%
ValueCountFrequency (%)
20130618 10
 
2.3%
20130705 1
 
0.2%
20130715 21
 
4.9%
20130716 1
 
0.2%
20130807 1
 
0.2%
20130808 108
25.0%
20130812 13
 
3.0%
20130819 32
 
7.4%
20130822 3
 
0.7%
20130826 1
 
0.2%
ValueCountFrequency (%)
20210820 6
1.4%
20210720 10
2.3%
20210618 5
 
1.2%
20210614 1
 
0.2%
20210531 1
 
0.2%
20210524 12
2.8%
20210517 1
 
0.2%
20210513 1
 
0.2%
20210510 1
 
0.2%
20210419 14
3.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
226 
3
202 
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
1 226
52.3%
3 202
46.8%
4 4
 
0.9%

Length

2023-12-11T04:04:09.334139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:09.460270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 226
52.3%
3 202
46.8%
4 4
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업/정상
226 
폐업
202 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length5
Mean length3.6805556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 226
52.3%
폐업 202
46.8%
취소/말소/만료/정지/중지 4
 
0.9%

Length

2023-12-11T04:04:09.611653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:09.761801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 226
52.3%
폐업 202
46.8%
취소/말소/만료/정지/중지 4
 
0.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
4
202 
2
112 
BBBB
111 
6
 
4
1
 
3

Length

Max length4
Median length1
Mean length1.7708333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row4

Common Values

ValueCountFrequency (%)
4 202
46.8%
2 112
25.9%
BBBB 111
25.7%
6 4
 
0.9%
1 3
 
0.7%

Length

2023-12-11T04:04:09.907006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:10.042199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 202
46.8%
2 112
25.9%
bbbb 111
25.7%
6 4
 
0.9%
1 3
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업
226 
폐업
202 
직권말소
 
4

Length

Max length4
Median length2
Mean length2.0185185
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직권말소
2nd row직권말소
3rd row직권말소
4th row직권말소
5th row폐업

Common Values

ValueCountFrequency (%)
영업 226
52.3%
폐업 202
46.8%
직권말소 4
 
0.9%

Length

2023-12-11T04:04:10.204520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:10.325300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 226
52.3%
폐업 202
46.8%
직권말소 4
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct159
Distinct (%)81.1%
Missing236
Missing (%)54.6%
Infinite0
Infinite (%)0.0%
Mean20176797
Minimum20130503
Maximum20210812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:10.468066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130503
5-th percentile20140228
Q120151222
median20171156
Q320200620
95-th percentile20210702
Maximum20210812
Range80309
Interquartile range (IQR)49399

Descriptive statistics

Standard deviation24415.739
Coefficient of variation (CV)0.00121009
Kurtosis-1.309852
Mean20176797
Median Absolute Deviation (MAD)20804
Skewness-0.084810001
Sum3.9546521 × 109
Variance5.9612833 × 108
MonotonicityNot monotonic
2023-12-11T04:04:10.644366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150227 5
 
1.2%
20140228 4
 
0.9%
20210728 3
 
0.7%
20210701 3
 
0.7%
20210501 3
 
0.7%
20131029 3
 
0.7%
20140219 2
 
0.5%
20210119 2
 
0.5%
20151203 2
 
0.5%
20140520 2
 
0.5%
Other values (149) 167
38.7%
(Missing) 236
54.6%
ValueCountFrequency (%)
20130503 1
 
0.2%
20131029 3
0.7%
20140219 2
0.5%
20140227 1
 
0.2%
20140228 4
0.9%
20140305 1
 
0.2%
20140312 1
 
0.2%
20140313 1
 
0.2%
20140519 1
 
0.2%
20140520 2
0.5%
ValueCountFrequency (%)
20210812 1
 
0.2%
20210730 2
0.5%
20210729 1
 
0.2%
20210728 3
0.7%
20210727 1
 
0.2%
20210726 1
 
0.2%
20210706 1
 
0.2%
20210701 3
0.7%
20210630 1
 
0.2%
20210615 1
 
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)89.7%
Missing218
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean5.4917106 × 108
Minimum15661678
Maximum5.3157796 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:10.845384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15661678
5-th percentile5.326334 × 108
Q15.3522837 × 108
median5.3633149 × 108
Q35.3762765 × 108
95-th percentile5.3963789 × 108
Maximum5.3157796 × 109
Range5.3001179 × 109
Interquartile range (IQR)2399277.5

Descriptive statistics

Standard deviation3.3484284 × 108
Coefficient of variation (CV)0.60972412
Kurtosis195.38165
Mean5.4917106 × 108
Median Absolute Deviation (MAD)1209208
Skewness13.595589
Sum1.1752261 × 1011
Variance1.1211973 × 1017
MonotonicityNot monotonic
2023-12-11T04:04:11.001066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
539570755 3
 
0.7%
537415686 2
 
0.5%
536374545 2
 
0.5%
535738586 2
 
0.5%
533819100 2
 
0.5%
534225290 2
 
0.5%
537433324 2
 
0.5%
537467080 2
 
0.5%
536506652 2
 
0.5%
536222236 2
 
0.5%
Other values (182) 193
44.7%
(Missing) 218
50.5%
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
0.5%
539819818 1
0.2%
539810488 1
0.2%
539659114 1
0.2%
539658668 1
0.2%
539648288 2
0.5%
539640078 1
0.2%
539636707 1
0.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct214
Distinct (%)84.9%
Missing180
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean204939.1
Minimum41003
Maximum711837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:11.149390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41003
5-th percentile41079.25
Q141864.5
median42544.5
Q343008
95-th percentile705914.95
Maximum711837
Range670834
Interquartile range (IQR)1143.5

Descriptive statistics

Standard deviation285650.9
Coefficient of variation (CV)1.3938331
Kurtosis-0.59698134
Mean204939.1
Median Absolute Deviation (MAD)656
Skewness1.1864635
Sum51644652
Variance8.1596437 × 1010
MonotonicityNot monotonic
2023-12-11T04:04:11.337841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41593 3
 
0.7%
42802 3
 
0.7%
42633 3
 
0.7%
704821 3
 
0.7%
42922 3
 
0.7%
42259 3
 
0.7%
700842 2
 
0.5%
41519 2
 
0.5%
42138 2
 
0.5%
41910 2
 
0.5%
Other values (204) 226
52.3%
(Missing) 180
41.7%
ValueCountFrequency (%)
41003 2
0.5%
41009 1
0.2%
41026 1
0.2%
41034 1
0.2%
41036 1
0.2%
41041 1
0.2%
41064 1
0.2%
41065 2
0.5%
41067 1
0.2%
41070 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

Distinct235
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T04:04:11.547654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length21
Min length1

Characters and Unicode

Total characters9072
Distinct characters251
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

Unique203 ?
Unique (%)47.0%

Sample

1st row
2nd row
3rd row
4th row
5th row대구광역시 수성구 범어동 ***번지 **호 ***호
ValueCountFrequency (%)
호 395
22.5%
대구광역시 278
15.8%
번지 275
15.7%
동 95
 
5.4%
달서구 61
 
3.5%
수성구 54
 
3.1%
동구 48
 
2.7%
북구 34
 
1.9%
중구 24
 
1.4%
달성군 23
 
1.3%
Other values (218) 468
26.7%
2023-12-11T04:04:11.949409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2031
22.4%
* 2001
22.1%
구 548
 
6.0%
동 420
 
4.6%
호 403
 
4.4%
대 321
 
3.5%
지 308
 
3.4%
시 299
 
3.3%
역 282
 
3.1%
광 279
 
3.1%
Other values (241) 2180
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5024
55.4%
Space Separator 2031
22.4%
Other Punctuation 2004
 
22.1%
Dash Punctuation 5
 
0.1%
Lowercase Letter 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 548
 
10.9%
동 420
 
8.4%
호 403
 
8.0%
대 321
 
6.4%
지 308
 
6.1%
시 299
 
6.0%
역 282
 
5.6%
광 279
 
5.6%
번 275
 
5.5%
성 135
 
2.7%
Other values (230) 1754
34.9%
Other Punctuation
ValueCountFrequency (%)
* 2001
99.9%
, 2
 
0.1%
· 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
L 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
2031
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5024
55.4%
Common 4042
44.6%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 548
 
10.9%
동 420
 
8.4%
호 403
 
8.0%
대 321
 
6.4%
지 308
 
6.1%
시 299
 
6.0%
역 282
 
5.6%
광 279
 
5.6%
번 275
 
5.5%
성 135
 
2.7%
Other values (230) 1754
34.9%
Common
ValueCountFrequency (%)
2031
50.2%
* 2001
49.5%
- 5
 
0.1%
, 2
 
< 0.1%
· 1
 
< 0.1%
) 1
 
< 0.1%
( 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 3
50.0%
H 1
 
16.7%
L 1
 
16.7%
B 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5024
55.4%
ASCII 4047
44.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2031
50.2%
* 2001
49.4%
- 5
 
0.1%
e 3
 
0.1%
, 2
 
< 0.1%
) 1
 
< 0.1%
H 1
 
< 0.1%
L 1
 
< 0.1%
( 1
 
< 0.1%
B 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 548
 
10.9%
동 420
 
8.4%
호 403
 
8.0%
대 321
 
6.4%
지 308
 
6.1%
시 299
 
6.0%
역 282
 
5.6%
광 279
 
5.6%
번 275
 
5.5%
성 135
 
2.7%
Other values (230) 1754
34.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

Distinct381
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T04:04:12.271655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length31.833333
Min length20

Characters and Unicode

Total characters13752
Distinct characters285
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

Unique344 ?
Unique (%)79.6%

Sample

1st row대구광역시 동구 팔공로 ***, ***호 (봉무동,비지니스센터)
2nd row대구광역시 수성구 신매로**길 * (신매동)
3rd row대구광역시 수성구 달구벌대로 ****, *층 (매호동,대흥빌딩)
4th row대구광역시 중구 이천로 ***, *층 (대봉동)
5th row대구광역시 수성구 달구벌대로***길 **, ***호 (범어동)
ValueCountFrequency (%)
대구광역시 432
 
16.0%
430
 
15.9%
층 164
 
6.1%
호 132
 
4.9%
달서구 101
 
3.7%
동 97
 
3.6%
수성구 93
 
3.4%
동구 72
 
2.7%
북구 52
 
1.9%
달구벌대로 41
 
1.5%
Other values (457) 1088
40.3%
2023-12-11T04:04:12.808124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2402
17.5%
2270
16.5%
구 926
 
6.7%
동 654
 
4.8%
대 601
 
4.4%
시 456
 
3.3%
역 439
 
3.2%
로 438
 
3.2%
광 436
 
3.2%
( 420
 
3.1%
Other values (275) 4710
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7742
56.3%
Other Punctuation 2815
 
20.5%
Space Separator 2270
 
16.5%
Open Punctuation 420
 
3.1%
Close Punctuation 420
 
3.1%
Dash Punctuation 77
 
0.6%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 926
 
12.0%
동 654
 
8.4%
대 601
 
7.8%
시 456
 
5.9%
역 439
 
5.7%
로 438
 
5.7%
광 436
 
5.6%
성 218
 
2.8%
달 188
 
2.4%
호 170
 
2.2%
Other values (263) 3216
41.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
D 1
20.0%
L 1
20.0%
H 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 2402
85.3%
, 412
 
14.6%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7742
56.3%
Common 6002
43.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 926
 
12.0%
동 654
 
8.4%
대 601
 
7.8%
시 456
 
5.9%
역 439
 
5.7%
로 438
 
5.7%
광 436
 
5.6%
성 218
 
2.8%
달 188
 
2.4%
호 170
 
2.2%
Other values (263) 3216
41.5%
Common
ValueCountFrequency (%)
* 2402
40.0%
2270
37.8%
( 420
 
7.0%
) 420
 
7.0%
, 412
 
6.9%
- 77
 
1.3%
· 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 3
37.5%
B 2
25.0%
D 1
 
12.5%
L 1
 
12.5%
H 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7742
56.3%
ASCII 6009
43.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2402
40.0%
2270
37.8%
( 420
 
7.0%
) 420
 
7.0%
, 412
 
6.9%
- 77
 
1.3%
e 3
 
< 0.1%
B 2
 
< 0.1%
D 1
 
< 0.1%
L 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 926
 
12.0%
동 654
 
8.4%
대 601
 
7.8%
시 456
 
5.9%
역 439
 
5.7%
로 438
 
5.7%
광 436
 
5.6%
성 218
 
2.8%
달 188
 
2.4%
호 170
 
2.2%
Other values (263) 3216
41.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

사업장명
Text

Distinct417
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T04:04:13.104743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.3078704
Min length2

Characters and Unicode

Total characters3589
Distinct characters336
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

Unique407 ?
Unique (%)94.2%

Sample

1st row주식회사 제이앤코슈(J&COCEU Co.,Ltd.)
2nd row건강생활시지경산
3rd row마임 대구시지지사
4th row대구동성로대리점
5th row골드리치
ValueCountFrequency (%)
인셀덤 61
 
8.2%
마임 38
 
5.1%
아모레 31
 
4.1%
오휘 25
 
3.3%
김정문알로에 14
 
1.9%
특약점 13
 
1.7%
유니베라 11
 
1.5%
주식회사 10
 
1.3%
아모레퍼시픽 10
 
1.3%
대구 8
 
1.1%
Other values (440) 526
70.4%
2023-12-11T04:04:13.694330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
9.2%
점 152
 
4.2%
대 148
 
4.1%
지 133
 
3.7%
인 115
 
3.2%
사 111
 
3.1%
리 105
 
2.9%
셀 102
 
2.8%
덤 99
 
2.8%
구 92
 
2.6%
Other values (326) 2202
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3104
86.5%
Space Separator 330
 
9.2%
Lowercase Letter 56
 
1.6%
Uppercase Letter 46
 
1.3%
Open Punctuation 20
 
0.6%
Close Punctuation 20
 
0.6%
Other Punctuation 9
 
0.3%
Decimal Number 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 152
 
4.9%
대 148
 
4.8%
지 133
 
4.3%
인 115
 
3.7%
사 111
 
3.6%
리 105
 
3.4%
셀 102
 
3.3%
덤 99
 
3.2%
구 92
 
3.0%
아 56
 
1.8%
Other values (276) 1991
64.1%
Lowercase Letter
ValueCountFrequency (%)
r 6
10.7%
e 6
10.7%
s 5
8.9%
o 5
8.9%
d 4
 
7.1%
t 4
 
7.1%
i 4
 
7.1%
n 4
 
7.1%
y 3
 
5.4%
l 3
 
5.4%
Other values (10) 12
21.4%
Uppercase Letter
ValueCountFrequency (%)
C 5
 
10.9%
L 4
 
8.7%
N 3
 
6.5%
O 3
 
6.5%
X 3
 
6.5%
R 3
 
6.5%
I 3
 
6.5%
E 3
 
6.5%
G 3
 
6.5%
K 3
 
6.5%
Other values (10) 13
28.3%
Other Punctuation
ValueCountFrequency (%)
, 3
33.3%
& 2
22.2%
. 2
22.2%
# 1
 
11.1%
: 1
 
11.1%
Space Separator
ValueCountFrequency (%)
330
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3101
86.4%
Common 383
 
10.7%
Latin 102
 
2.8%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 152
 
4.9%
대 148
 
4.8%
지 133
 
4.3%
인 115
 
3.7%
사 111
 
3.6%
리 105
 
3.4%
셀 102
 
3.3%
덤 99
 
3.2%
구 92
 
3.0%
아 56
 
1.8%
Other values (273) 1988
64.1%
Latin
ValueCountFrequency (%)
r 6
 
5.9%
e 6
 
5.9%
s 5
 
4.9%
o 5
 
4.9%
C 5
 
4.9%
d 4
 
3.9%
t 4
 
3.9%
i 4
 
3.9%
L 4
 
3.9%
n 4
 
3.9%
Other values (30) 55
53.9%
Common
ValueCountFrequency (%)
330
86.2%
( 20
 
5.2%
) 20
 
5.2%
1 3
 
0.8%
, 3
 
0.8%
& 2
 
0.5%
. 2
 
0.5%
- 1
 
0.3%
# 1
 
0.3%
: 1
 
0.3%
Han
ValueCountFrequency (%)
峯 1
33.3%
女 1
33.3%
美 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3101
86.4%
ASCII 485
 
13.5%
CJK 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
330
68.0%
( 20
 
4.1%
) 20
 
4.1%
r 6
 
1.2%
e 6
 
1.2%
s 5
 
1.0%
o 5
 
1.0%
C 5
 
1.0%
d 4
 
0.8%
t 4
 
0.8%
Other values (40) 80
 
16.5%
Hangul
ValueCountFrequency (%)
점 152
 
4.9%
대 148
 
4.8%
지 133
 
4.3%
인 115
 
3.7%
사 111
 
3.6%
리 105
 
3.4%
셀 102
 
3.3%
덤 99
 
3.2%
구 92
 
3.0%
아 56
 
1.8%
Other values (273) 1988
64.1%
CJK
ValueCountFrequency (%)
峯 1
33.3%
女 1
33.3%
美 1
33.3%

최종수정시점
Real number (ℝ)

Distinct224
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0188638 × 1013
Minimum2.0131029 × 1013
Maximum2.0210824 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:13.926847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0131029 × 1013
5-th percentile2.0140927 × 1013
Q12.0170517 × 1013
median2.0200302 × 1013
Q32.0210415 × 1013
95-th percentile2.0210724 × 1013
Maximum2.0210824 × 1013
Range7.9795 × 1010
Interquartile range (IQR)3.9898 × 1010

Descriptive statistics

Standard deviation2.2973366 × 1010
Coefficient of variation (CV)0.0011379354
Kurtosis-0.6499934
Mean2.0188638 × 1013
Median Absolute Deviation (MAD)1.0222 × 1010
Skewness-0.79128454
Sum8.7214917 × 1015
Variance5.2777555 × 1020
MonotonicityNot monotonic
2023-12-11T04:04:14.517736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191007000000 30
 
6.9%
20170517000000 22
 
5.1%
20210415000000 22
 
5.1%
20210419000000 11
 
2.5%
20210524000000 10
 
2.3%
20210720000000 10
 
2.3%
20210223000000 9
 
2.1%
20200302000000 9
 
2.1%
20210730000000 8
 
1.9%
20200526000000 7
 
1.6%
Other values (214) 294
68.1%
ValueCountFrequency (%)
20131029000000 2
0.5%
20140219000000 2
0.5%
20140227000000 1
 
0.2%
20140228000000 4
0.9%
20140305000000 1
 
0.2%
20140312000000 1
 
0.2%
20140313000000 1
 
0.2%
20140502000000 1
 
0.2%
20140519000000 1
 
0.2%
20140520000000 2
0.5%
ValueCountFrequency (%)
20210824000000 2
 
0.5%
20210820000000 6
1.4%
20210818000000 2
 
0.5%
20210817000000 1
 
0.2%
20210812000000 1
 
0.2%
20210803000000 2
 
0.5%
20210730000000 8
1.9%
20210720000000 10
2.3%
20210715000000 1
 
0.2%
20210714000000 1
 
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
I
250 
U
182 

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 250
57.9%
U 182
42.1%

Length

2023-12-11T04:04:14.741860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:14.898586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 250
57.9%
u 182
42.1%

데이터갱신일자
Date

Distinct130
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-08-26 02:40:00
2023-12-11T04:04:15.096969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:04:15.324440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)88.5%
Missing51
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean343626
Minimum328728
Maximum358200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:15.535243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328728
5-th percentile335496.51
Q1339872.74
median343800.36
Q3346735.14
95-th percentile353966.05
Maximum358200
Range29472
Interquartile range (IQR)6862.3956

Descriptive statistics

Standard deviation5343.1487
Coefficient of variation (CV)0.015549315
Kurtosis0.06633351
Mean343626
Median Absolute Deviation (MAD)3658.3086
Skewness0.16474846
Sum1.309215 × 108
Variance28549238
MonotonicityNot monotonic
2023-12-11T04:04:15.733006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339899.759247 3
 
0.7%
339825.647172 3
 
0.7%
350650.801737 3
 
0.7%
344686.259338 3
 
0.7%
340142.053784 3
 
0.7%
345833.933916 3
 
0.7%
354548.0 2
 
0.5%
346032.389401 2
 
0.5%
353156.530464 2
 
0.5%
342510.63775 2
 
0.5%
Other values (327) 355
82.2%
(Missing) 51
 
11.8%
ValueCountFrequency (%)
328728.0 1
0.2%
330025.0 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%
333417.0 1
0.2%
ValueCountFrequency (%)
358200.0 1
0.2%
357559.0 1
0.2%
356310.917659 1
0.2%
355684.783405 2
0.5%
355681.445461 1
0.2%
355581.134258 1
0.2%
355541.818806 1
0.2%
355135.265348 1
0.2%
355019.243239 1
0.2%
354703.0 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)88.5%
Missing51
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean263207.39
Minimum240385
Maximum274562.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T04:04:15.977567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240385
5-th percentile258084.52
Q1261215.33
median263352.96
Q3265076.63
95-th percentile270010
Maximum274562.78
Range34177.777
Interquartile range (IQR)3861.2992

Descriptive statistics

Standard deviation3946.2245
Coefficient of variation (CV)0.014992833
Kurtosis6.493582
Mean263207.39
Median Absolute Deviation (MAD)1987.1362
Skewness-1.0590141
Sum1.0028202 × 108
Variance15572688
MonotonicityNot monotonic
2023-12-11T04:04:16.213715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262694.927283 3
 
0.7%
259446.201377 3
 
0.7%
265683.768049 3
 
0.7%
263958.880864 3
 
0.7%
260153.337927 3
 
0.7%
265804.01386 3
 
0.7%
265568.0 2
 
0.5%
262681.51151 2
 
0.5%
261215.331082 2
 
0.5%
268860.626136 2
 
0.5%
Other values (327) 355
82.2%
(Missing) 51
 
11.8%
ValueCountFrequency (%)
240385.0 1
0.2%
244374.0 1
0.2%
244385.0 1
0.2%
245132.142998 1
0.2%
248716.764731 1
0.2%
252862.334188 1
0.2%
254144.0 1
0.2%
255691.0 1
0.2%
256485.112 1
0.2%
256955.338083 1
0.2%
ValueCountFrequency (%)
274562.776925 1
0.2%
273228.289745 1
0.2%
272775.300038 2
0.5%
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%
271899.697217 1
0.2%
271867.496917 1
0.2%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
후원방문판매업
432 

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 432
100.0%

Length

2023-12-11T04:04:16.432222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:16.577582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업 432
100.0%

자본금의규모
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
432 

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 (%)
0 432
100.0%

Length

2023-12-11T04:04:16.746965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:16.896020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 432
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모
01후원방문판매업체08_26_05_P62700002016627000030100000620160409<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>534248100<NA><NA>대구광역시 동구 팔공로 ***, ***호 (봉무동,비지니스센터)<NA>주식회사 제이앤코슈(J&COCEU Co.,Ltd.)20180514000000I2018-08-31 23:59:59.0<NA>348002.0270010.0후원방문판매업0
12후원방문판매업체08_26_05_P62700002013627000030100011520130808<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 신매로**길 * (신매동)<NA>건강생활시지경산20180514000000I2018-08-31 23:59:59.0<NA>354376.237999261038.102425후원방문판매업0
23후원방문판매업체08_26_05_P62700002013627000030100005920130808<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>532669114<NA><NA>대구광역시 수성구 달구벌대로 ****, *층 (매호동,대흥빌딩)<NA>마임 대구시지지사20180514000000I2018-08-31 23:59:59.0<NA>353938.838377261523.550309후원방문판매업0
34후원방문판매업체08_26_05_P62700002013627000030100008720130808<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 이천로 ***, *층 (대봉동)<NA>대구동성로대리점20180514000000I2018-08-31 23:59:59.0<NA>344301.713833263122.695807후원방문판매업0
45후원방문판매업체08_26_05_P62700002021627000030100000520210122<NA>3폐업4폐업20210730<NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 ***번지 **호 ***호대구광역시 수성구 달구벌대로***길 **, ***호 (범어동)<NA>골드리치20210803000000U2021-08-05 02:40:00.0<NA>347868.910749263538.686137후원방문판매업0
56후원방문판매업체08_26_05_P62700002021627000030100000420210122<NA>3폐업4폐업20210330<NA><NA><NA><NA><NA>42271대구광역시 수성구 매호동 ****번지 *호 매호*차동서아파트 ***동 ****호대구광역시 수성구 달구벌대로***길 *, ***동 ****호 (매호동, 매호*차동서아파트)<NA>인셀덤(스미다)20210331000000U2021-04-02 02:40:00.0<NA>354312.779061261502.041364후원방문판매업0
67후원방문판매업체08_26_05_P62700002021627000030100000220210122<NA>3폐업4폐업20210726<NA><NA><NA><NA><NA>42424대구광역시 남구 대명동 ****번지 ***호 운호하이빌 ***호대구광역시 남구 중앙대로**길 **-*, ***호 (대명동, 운호 하이빌)<NA>인셀덤인터내셔널20210730000000U2021-08-01 02:40:00.0<NA>343849.659565262456.266438후원방문판매업0
78후원방문판매업체08_26_05_P62700002020627000030100006520201223<NA>3폐업4폐업20210728<NA><NA><NA><NA><NA>41064대구광역시 동구 각산동 ****번지 *호 대구혁신도시서한이다음 ***동 ***호대구광역시 동구 이노밸리로**길 **, ***동 ***호 (각산동, 대구혁신도시 서한 이다음)<NA>미라클 파워20210730000000U2021-08-01 02:40:00.0<NA>354703.0266219.0후원방문판매업0
89후원방문판매업체08_26_05_P62700002020627000030100006320201223<NA>3폐업4폐업20210701<NA><NA><NA><NA><NA>42960대구광역시 달성군 화원읍 명곡리 ***번지 *호 명곡미래빌*단지 ***동 ****호대구광역시 달성군 화원읍 명곡로 **, ***동 ****호 (명곡미래빌 *단지)<NA>인셀덤HJ20210707000000U2021-07-09 02:40:00.0<NA>335324.764881256485.112후원방문판매업0
910후원방문판매업체08_26_05_P62700002020627000030100005720201223<NA>3폐업4폐업20210701<NA><NA><NA><NA><NA>41575대구광역시 북구 대현동 ***번지 *호 대구대현엘에이치*단지 ***동 ****호대구광역시 북구 대현남로*길 **, ***동 ****호 (대현동, 대구대현엘에이치*단지)<NA>대구인셀덤브이그룹20210707000000U2021-07-09 02:40:00.0<NA>345224.0265678.0후원방문판매업0
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모
422423후원방문판매업체08_26_05_P62700002013627000030100001520130715<NA>1영업/정상BBBB영업<NA><NA><NA><NA>535733233<NA>703846대구광역시 서구 평리동 ****번지 **호대구광역시 서구 국채보상로 ***-* (평리동)<NA>김정문알로에20170517000000I2018-08-31 23:59:59.0<NA>340634.432827264513.714955후원방문판매업0
423424후원방문판매업체08_26_05_P62700002013627000030100015620130819<NA>1영업/정상BBBB영업<NA><NA><NA><NA>535533010<NA><NA>대구광역시 달서구 달구벌대로 ***-** (감삼동)<NA>활력20200714000000U2020-07-16 02:40:00.0<NA><NA><NA>후원방문판매업0
424425후원방문판매업체08_26_05_P62700002013627000030100015320130819<NA>1영업/정상BBBB영업<NA><NA><NA><NA>535738589<NA><NA>대구광역시 달서구 달구벌대로 **** (두류동)<NA>다나상조(주)20170517000000I2018-08-31 23:59:59.0<NA>339899.759247262694.927283후원방문판매업0
425426후원방문판매업체08_26_05_P62700002013627000030100009220130808<NA>1영업/정상BBBB영업<NA><NA><NA><NA>539542526<NA><NA>대구광역시 달서구 용산로 ***, *층 (감삼동)<NA>대구자연대리점20170517000000I2018-08-31 23:59:59.0<NA>338227.753031261995.735438후원방문판매업0
426427후원방문판매업체08_26_05_P62700002013627000030100009120130808<NA>1영업/정상BBBB영업<NA><NA><NA><NA>536549822<NA><NA>대구광역시 남구 대명로**길 *-*, *층 (대명동)<NA>달서대리점20170517000000I2018-08-31 23:59:59.0<NA>341269.617386260962.921863후원방문판매업0
427428후원방문판매업체08_26_05_P62700002013627000030100001820130715<NA>1영업/정상BBBB영업<NA><NA><NA><NA>535533000<NA>700092대구광역시 중구 동성로*가 **번지 *호대구광역시 중구 동성로 **-* (동성로*가)<NA>김정문알로에 대구점20170517000000I2018-08-31 23:59:59.0<NA>344073.776714264493.36327후원방문판매업0
428429후원방문판매업체08_26_05_P62700002019627000030100000120190117<NA>1영업/정상BBBB영업<NA><NA><NA><NA>539570755<NA>41196대구광역시 동구 신암동 ***번지 *호대구광역시 동구 아양로 **, *층 (신암동)<NA>나르지오 신암점20190215000000U2019-02-17 02:40:00.0<NA>345833.933916265804.01386후원방문판매업0
429430후원방문판매업체08_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
430431후원방문판매업체08_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
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