Overview

Dataset statistics

Number of variables31
Number of observations645
Missing cells5629
Missing cells (%)28.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory165.8 KiB
Average record size in memory263.2 B

Variable types

Numeric6
Categorical10
DateTime4
Unsupported7
Text4

Dataset

Description23년10월_6270000_대구광역시_08_26_05_P_후원방문판매업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101128&dataSetDetailId=DDI_0000101185&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 645 (100.0%) missing valuesMissing
폐업일자 has 310 (48.1%) missing valuesMissing
휴업시작일자 has 645 (100.0%) missing valuesMissing
휴업종료일자 has 645 (100.0%) missing valuesMissing
재개업일자 has 645 (100.0%) missing valuesMissing
소재지전화 has 425 (65.9%) missing valuesMissing
소재지면적 has 645 (100.0%) missing valuesMissing
소재지우편번호 has 181 (28.1%) missing valuesMissing
도로명우편번호 has 645 (100.0%) missing valuesMissing
업태구분명 has 645 (100.0%) missing valuesMissing
좌표정보(X) has 35 (5.4%) missing valuesMissing
좌표정보(Y) has 35 (5.4%) missing valuesMissing
사업자등록번호 has 128 (19.8%) 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 started2023-11-11 14:10:47.452982
Analysis finished2023-11-11 14:10:48.717380
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct645
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323
Minimum1
Maximum645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-11-11T23:10:48.826236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.2
Q1162
median323
Q3484
95-th percentile612.8
Maximum645
Range644
Interquartile range (IQR)322

Descriptive statistics

Standard deviation186.33974
Coefficient of variation (CV)0.57690323
Kurtosis-1.2
Mean323
Median Absolute Deviation (MAD)161
Skewness0
Sum208335
Variance34722.5
MonotonicityStrictly increasing
2023-11-11T23:10:49.087017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
405 1
 
0.2%
427 1
 
0.2%
428 1
 
0.2%
429 1
 
0.2%
430 1
 
0.2%
431 1
 
0.2%
432 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
Other values (635) 635
98.4%
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 (%)
645 1
0.2%
644 1
0.2%
643 1
0.2%
642 1
0.2%
641 1
0.2%
640 1
0.2%
639 1
0.2%
638 1
0.2%
637 1
0.2%
636 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
후원방문판매업체
645 

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 645
100.0%

Length

2023-11-11T23:10:49.321019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:49.502897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업체 645
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
08_26_05_P
645 

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 645
100.0%

Length

2023-11-11T23:10:49.705538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:49.889920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_05_p 645
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
6270000
645 

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 645
100.0%

Length

2023-11-11T23:10:50.059453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:50.227515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 645
100.0%

관리번호
Real number (ℝ)

Distinct13
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0188596 × 1019
Minimum2.013627 × 1019
Maximum2.023627 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-11-11T23:10:50.388478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.013627 × 1019
5-th percentile2.013627 × 1019
Q12.013627 × 1019
median2.020627 × 1019
Q32.022627 × 1019
95-th percentile2.023627 × 1019
Maximum2.023627 × 1019
Range1 × 1017
Interquartile range (IQR)9 × 1016

Descriptive statistics

Standard deviation3.9048024 × 1016
Coefficient of variation (CV)0.0019341624
Kurtosis-1.5979069
Mean2.0188596 × 1019
Median Absolute Deviation (MAD)3 × 1016
Skewness-0.35384112
Sum1.3021645 × 1022
Variance1.5247482 × 1033
MonotonicityNot monotonic
2023-11-11T23:10:50.578898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2.0136270000301e+19 188
29.1%
2.0216270000301e+19 128
19.8%
2.0226270000301e+19 104
16.1%
2.0206270000301e+19 66
 
10.2%
2.0236270000301e+19 62
 
9.6%
2.0176270000301e+19 31
 
4.8%
2.0146270000301e+19 19
 
2.9%
2.0166270000301e+19 14
 
2.2%
2.0156270000301e+19 11
 
1.7%
2.0186270000301e+19 11
 
1.7%
Other values (3) 11
 
1.7%
ValueCountFrequency (%)
2.0136270000301e+19 188
29.1%
2.0146270000301e+19 19
 
2.9%
2.0156270000301e+19 11
 
1.7%
2.0166270000301e+19 14
 
2.2%
2.0176270000301e+19 31
 
4.8%
2.0186270000301e+19 11
 
1.7%
2.0196270000301e+19 9
 
1.4%
2.0206270000301e+19 66
 
10.2%
2.0216270000301e+19 128
19.8%
2.0216470000301e+19 1
 
0.2%
ValueCountFrequency (%)
2.0236270000301e+19 62
9.6%
2.0226470000301e+19 1
 
0.2%
2.0226270000301e+19 104
16.1%
2.0216470000301e+19 1
 
0.2%
2.0216270000301e+19 128
19.8%
2.0206270000301e+19 66
10.2%
2.0196270000301e+19 9
 
1.4%
2.0186270000301e+19 11
 
1.7%
2.0176270000301e+19 31
 
4.8%
2.0166270000301e+19 14
 
2.2%

인허가일자
Date

Distinct181
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2013-06-18 00:00:00
Maximum2023-10-23 00:00:00
2023-11-11T23:10:50.795922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:51.025130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing645
Missing (%)100.0%
Memory size5.8 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
362 
1
271 
4
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 362
56.1%
1 271
42.0%
4 12
 
1.9%

Length

2023-11-11T23:10:51.268097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:51.472165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 362
56.1%
1 271
42.0%
4 12
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
362 
영업/정상
271 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length2
Mean length3.4837209
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 362
56.1%
영업/정상 271
42.0%
취소/말소/만료/정지/중지 12
 
1.9%

Length

2023-11-11T23:10:51.688239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:51.868463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 362
56.1%
영업/정상 271
42.0%
취소/말소/만료/정지/중지 12
 
1.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
4
362 
2
138 
BBBB
131 
6
 
12
1
 
2

Length

Max length4
Median length1
Mean length1.6093023
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 362
56.1%
2 138
 
21.4%
BBBB 131
 
20.3%
6 12
 
1.9%
1 2
 
0.3%

Length

2023-11-11T23:10:52.052977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:52.260466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 362
56.1%
2 138
 
21.4%
bbbb 131
 
20.3%
6 12
 
1.9%
1 2
 
0.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
362 
영업
271 
직권말소
 
12

Length

Max length4
Median length2
Mean length2.0372093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 362
56.1%
영업 271
42.0%
직권말소 12
 
1.9%

Length

2023-11-11T23:10:52.490973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:52.703390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 362
56.1%
영업 271
42.0%
직권말소 12
 
1.9%

폐업일자
Date

MISSING 

Distinct226
Distinct (%)67.5%
Missing310
Missing (%)48.1%
Memory size5.2 KiB
Minimum2013-10-29 00:00:00
Maximum2023-10-20 00:00:00
2023-11-11T23:10:52.881811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:53.117090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing645
Missing (%)100.0%
Memory size5.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing645
Missing (%)100.0%
Memory size5.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing645
Missing (%)100.0%
Memory size5.8 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct195
Distinct (%)88.6%
Missing425
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean5.7057105 × 108
Minimum15661678
Maximum5.3157796 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-11-11T23:10:53.439273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15661678
5-th percentile5.3266401 × 108
Q15.3524615 × 108
median5.3633634 × 108
Q35.3764612 × 108
95-th percentile5.3964049 × 108
Maximum5.3157796 × 109
Range5.3001179 × 109
Interquartile range (IQR)2399974

Descriptive statistics

Standard deviation4.6078545 × 108
Coefficient of variation (CV)0.80758646
Kurtosis102.54499
Mean5.7057105 × 108
Median Absolute Deviation (MAD)1210986
Skewness10.03201
Sum1.2552563 × 1011
Variance2.1232323 × 1017
MonotonicityNot monotonic
2023-11-11T23:10:53.876152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
539570755 3
 
0.5%
535738586 2
 
0.3%
533819100 2
 
0.3%
533521475 2
 
0.3%
535855232 2
 
0.3%
536518819 2
 
0.3%
535526914 2
 
0.3%
539853966 2
 
0.3%
536336336 2
 
0.3%
536506652 2
 
0.3%
Other values (185) 199
30.9%
(Missing) 425
65.9%
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%
5315443271 1
0.2%
553563302 1
0.2%
539853966 2
0.3%
539819818 1
0.2%
539810488 1
0.2%
539659114 1
0.2%
539658668 1
0.2%
539648288 2
0.3%
539640078 1
0.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing645
Missing (%)100.0%
Memory size5.8 KiB

소재지우편번호
Text

MISSING 

Distinct358
Distinct (%)77.2%
Missing181
Missing (%)28.1%
Memory size5.2 KiB
2023-11-11T23:10:54.798503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.25
Min length5

Characters and Unicode

Total characters2436
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

Unique277 ?
Unique (%)59.7%

Sample

1st row700-831
2nd row705-813
3rd row42689
4th row42133
5th row702-856
ValueCountFrequency (%)
42633 5
 
1.1%
42922 5
 
1.1%
41954 4
 
0.9%
42783 4
 
0.9%
41940 4
 
0.9%
42965 4
 
0.9%
41071 3
 
0.6%
43008 3
 
0.6%
41003 3
 
0.6%
42910 3
 
0.6%
Other values (348) 426
91.8%
2023-11-11T23:10:55.627698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 551
22.6%
2 371
15.2%
1 328
13.5%
0 231
9.5%
7 174
 
7.1%
8 160
 
6.6%
6 158
 
6.5%
9 150
 
6.2%
5 132
 
5.4%
3 123
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2378
97.6%
Dash Punctuation 58
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 551
23.2%
2 371
15.6%
1 328
13.8%
0 231
9.7%
7 174
 
7.3%
8 160
 
6.7%
6 158
 
6.6%
9 150
 
6.3%
5 132
 
5.6%
3 123
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2436
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 551
22.6%
2 371
15.2%
1 328
13.5%
0 231
9.5%
7 174
 
7.1%
8 160
 
6.6%
6 158
 
6.5%
9 150
 
6.2%
5 132
 
5.4%
3 123
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 551
22.6%
2 371
15.2%
1 328
13.5%
0 231
9.5%
7 174
 
7.1%
8 160
 
6.6%
6 158
 
6.5%
9 150
 
6.2%
5 132
 
5.4%
3 123
 
5.0%

소재지전체주소
Text

Distinct406
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-11-11T23:10:56.065726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length26.837209
Min length1

Characters and Unicode

Total characters17310
Distinct characters295
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

Unique338 ?
Unique (%)52.4%

Sample

1st row대구광역시 중구 남산동 ***번지 *호
2nd row대구광역시 남구 대명동 ****번지 **호
3rd row대구광역시 달서구 감삼동 ***번지 *호 우방드림시티 ***동 ***호
4th row대구광역시 수성구 수성동*가 ***번지 **호
5th row
ValueCountFrequency (%)
호 786
23.4%
대구광역시 503
15.0%
번지 501
14.9%
동 216
 
6.4%
달서구 112
 
3.3%
수성구 100
 
3.0%
동구 85
 
2.5%
북구 65
 
1.9%
달성군 50
 
1.5%
중구 34
 
1.0%
Other values (362) 908
27.0%
2023-11-11T23:10:56.719978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3972
22.9%
3655
21.1%
구 989
 
5.7%
호 807
 
4.7%
동 799
 
4.6%
대 599
 
3.5%
지 557
 
3.2%
시 546
 
3.2%
역 522
 
3.0%
광 506
 
2.9%
Other values (285) 4358
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9636
55.7%
Other Punctuation 3977
23.0%
Space Separator 3655
 
21.1%
Uppercase Letter 23
 
0.1%
Dash Punctuation 8
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 989
 
10.3%
호 807
 
8.4%
동 799
 
8.3%
대 599
 
6.2%
지 557
 
5.8%
시 546
 
5.7%
역 522
 
5.4%
광 506
 
5.3%
번 501
 
5.2%
성 253
 
2.6%
Other values (266) 3557
36.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
21.7%
L 3
13.0%
D 3
13.0%
B 3
13.0%
A 2
 
8.7%
H 2
 
8.7%
G 1
 
4.3%
T 1
 
4.3%
O 1
 
4.3%
P 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 3972
99.9%
, 3
 
0.1%
· 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3655
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9636
55.7%
Common 7646
44.2%
Latin 28
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 989
 
10.3%
호 807
 
8.4%
동 799
 
8.3%
대 599
 
6.2%
지 557
 
5.8%
시 546
 
5.7%
역 522
 
5.4%
광 506
 
5.3%
번 501
 
5.2%
성 253
 
2.6%
Other values (266) 3557
36.9%
Latin
ValueCountFrequency (%)
S 5
17.9%
e 5
17.9%
L 3
10.7%
D 3
10.7%
B 3
10.7%
A 2
 
7.1%
H 2
 
7.1%
G 1
 
3.6%
T 1
 
3.6%
O 1
 
3.6%
Other values (2) 2
 
7.1%
Common
ValueCountFrequency (%)
* 3972
51.9%
3655
47.8%
- 8
 
0.1%
, 3
 
< 0.1%
) 3
 
< 0.1%
( 3
 
< 0.1%
· 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9636
55.7%
ASCII 7672
44.3%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3972
51.8%
3655
47.6%
- 8
 
0.1%
S 5
 
0.1%
e 5
 
0.1%
, 3
 
< 0.1%
L 3
 
< 0.1%
) 3
 
< 0.1%
( 3
 
< 0.1%
D 3
 
< 0.1%
Other values (8) 12
 
0.2%
Hangul
ValueCountFrequency (%)
구 989
 
10.3%
호 807
 
8.4%
동 799
 
8.3%
대 599
 
6.2%
지 557
 
5.8%
시 546
 
5.7%
역 522
 
5.4%
광 506
 
5.3%
번 501
 
5.2%
성 253
 
2.6%
Other values (266) 3557
36.9%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

Distinct584
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-11-11T23:10:57.220725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length34.137984
Min length20

Characters and Unicode

Total characters22019
Distinct characters320
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

Unique537 ?
Unique (%)83.3%

Sample

1st row대구광역시 중구 중앙대로 ***, *층 (남산동)
2nd row대구광역시 남구 대명남로 ** (대명동)
3rd row대구광역시 달서구 장기로 ***, ***동 ***호 (감삼동, 우방드림시티)
4th row대구광역시 수성구 들안로 ***, *층 (수성동*가)
5th row대구광역시 남구 대명로**길 *-*, *층 (대명동)
ValueCountFrequency (%)
대구광역시 645
 
15.6%
629
 
15.2%
동 221
 
5.3%
층 170
 
4.1%
달서구 152
 
3.7%
호 147
 
3.6%
수성구 133
 
3.2%
동구 108
 
2.6%
북구 81
 
2.0%
달성군 53
 
1.3%
Other values (753) 1800
43.5%
2023-11-11T23:10:58.037303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4096
18.6%
3494
15.9%
구 1373
 
6.2%
동 1048
 
4.8%
대 908
 
4.1%
, 722
 
3.3%
시 691
 
3.1%
역 667
 
3.0%
광 650
 
3.0%
로 644
 
2.9%
Other values (310) 7726
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12329
56.0%
Other Punctuation 4820
 
21.9%
Space Separator 3494
 
15.9%
Close Punctuation 629
 
2.9%
Open Punctuation 629
 
2.9%
Dash Punctuation 90
 
0.4%
Uppercase Letter 23
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1373
 
11.1%
동 1048
 
8.5%
대 908
 
7.4%
시 691
 
5.6%
역 667
 
5.4%
광 650
 
5.3%
로 644
 
5.2%
호 353
 
2.9%
성 333
 
2.7%
달 278
 
2.3%
Other values (292) 5384
43.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
17.4%
B 4
17.4%
D 4
17.4%
L 3
13.0%
H 2
8.7%
A 2
8.7%
O 1
 
4.3%
P 1
 
4.3%
T 1
 
4.3%
C 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 4096
85.0%
, 722
 
15.0%
· 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3494
100.0%
Close Punctuation
ValueCountFrequency (%)
) 629
100.0%
Open Punctuation
ValueCountFrequency (%)
( 629
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12329
56.0%
Common 9662
43.9%
Latin 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1373
 
11.1%
동 1048
 
8.5%
대 908
 
7.4%
시 691
 
5.6%
역 667
 
5.4%
광 650
 
5.3%
로 644
 
5.2%
호 353
 
2.9%
성 333
 
2.7%
달 278
 
2.3%
Other values (292) 5384
43.7%
Latin
ValueCountFrequency (%)
e 5
17.9%
S 4
14.3%
B 4
14.3%
D 4
14.3%
L 3
10.7%
H 2
 
7.1%
A 2
 
7.1%
O 1
 
3.6%
P 1
 
3.6%
T 1
 
3.6%
Common
ValueCountFrequency (%)
* 4096
42.4%
3494
36.2%
, 722
 
7.5%
) 629
 
6.5%
( 629
 
6.5%
- 90
 
0.9%
· 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12329
56.0%
ASCII 9688
44.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4096
42.3%
3494
36.1%
, 722
 
7.5%
) 629
 
6.5%
( 629
 
6.5%
- 90
 
0.9%
e 5
 
0.1%
S 4
 
< 0.1%
B 4
 
< 0.1%
D 4
 
< 0.1%
Other values (7) 11
 
0.1%
Hangul
ValueCountFrequency (%)
구 1373
 
11.1%
동 1048
 
8.5%
대 908
 
7.4%
시 691
 
5.6%
역 667
 
5.4%
광 650
 
5.3%
로 644
 
5.2%
호 353
 
2.9%
성 333
 
2.7%
달 278
 
2.3%
Other values (292) 5384
43.7%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing645
Missing (%)100.0%
Memory size5.8 KiB

사업장명
Text

Distinct629
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-11-11T23:10:58.486963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.0387597
Min length2

Characters and Unicode

Total characters5185
Distinct characters410
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

Unique618 ?
Unique (%)95.8%

Sample

1st row한국화장품 반월대리점
2nd row한국화장품(주) 남부대리점
3rd row인셀덤 플러스(pLUS)
4th row유니베라 수성대리점
5th row유니베라 달서대리점
ValueCountFrequency (%)
인셀덤 125
 
11.5%
마임 38
 
3.5%
아모레 32
 
3.0%
오휘 24
 
2.2%
주식회사 17
 
1.6%
유니베라 16
 
1.5%
김정문알로에 14
 
1.3%
특약점 13
 
1.2%
아모레퍼시픽 11
 
1.0%
엑소리젠 10
 
0.9%
Other values (664) 783
72.3%
2023-11-11T23:10:59.144938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
455
 
8.8%
인 232
 
4.5%
셀 218
 
4.2%
덤 215
 
4.1%
점 184
 
3.5%
대 174
 
3.4%
리 149
 
2.9%
지 145
 
2.8%
사 119
 
2.3%
구 107
 
2.1%
Other values (400) 3187
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4346
83.8%
Space Separator 455
 
8.8%
Uppercase Letter 170
 
3.3%
Lowercase Letter 101
 
1.9%
Open Punctuation 42
 
0.8%
Close Punctuation 42
 
0.8%
Other Punctuation 15
 
0.3%
Decimal Number 8
 
0.2%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 232
 
5.3%
셀 218
 
5.0%
덤 215
 
4.9%
점 184
 
4.2%
대 174
 
4.0%
리 149
 
3.4%
지 145
 
3.3%
사 119
 
2.7%
구 107
 
2.5%
이 87
 
2.0%
Other values (338) 2716
62.5%
Uppercase Letter
ValueCountFrequency (%)
L 13
 
7.6%
E 13
 
7.6%
S 12
 
7.1%
A 12
 
7.1%
O 11
 
6.5%
N 10
 
5.9%
C 9
 
5.3%
J 8
 
4.7%
I 8
 
4.7%
G 8
 
4.7%
Other values (15) 66
38.8%
Lowercase Letter
ValueCountFrequency (%)
i 11
 
10.9%
o 9
 
8.9%
e 8
 
7.9%
r 8
 
7.9%
n 7
 
6.9%
s 7
 
6.9%
t 6
 
5.9%
l 5
 
5.0%
a 5
 
5.0%
y 4
 
4.0%
Other values (12) 31
30.7%
Other Punctuation
ValueCountFrequency (%)
. 6
40.0%
, 3
20.0%
& 2
 
13.3%
# 1
 
6.7%
' 1
 
6.7%
/ 1
 
6.7%
: 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 5
62.5%
3 1
 
12.5%
2 1
 
12.5%
8 1
 
12.5%
Space Separator
ValueCountFrequency (%)
455
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4341
83.7%
Common 568
 
11.0%
Latin 271
 
5.2%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 232
 
5.3%
셀 218
 
5.0%
덤 215
 
5.0%
점 184
 
4.2%
대 174
 
4.0%
리 149
 
3.4%
지 145
 
3.3%
사 119
 
2.7%
구 107
 
2.5%
이 87
 
2.0%
Other values (333) 2711
62.5%
Latin
ValueCountFrequency (%)
L 13
 
4.8%
E 13
 
4.8%
S 12
 
4.4%
A 12
 
4.4%
i 11
 
4.1%
O 11
 
4.1%
N 10
 
3.7%
o 9
 
3.3%
C 9
 
3.3%
e 8
 
3.0%
Other values (37) 163
60.1%
Common
ValueCountFrequency (%)
455
80.1%
( 42
 
7.4%
) 42
 
7.4%
- 6
 
1.1%
. 6
 
1.1%
1 5
 
0.9%
, 3
 
0.5%
& 2
 
0.4%
3 1
 
0.2%
# 1
 
0.2%
Other values (5) 5
 
0.9%
Han
ValueCountFrequency (%)
娥 1
20.0%
銑 1
20.0%
峯 1
20.0%
女 1
20.0%
美 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4341
83.7%
ASCII 839
 
16.2%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
455
54.2%
( 42
 
5.0%
) 42
 
5.0%
L 13
 
1.5%
E 13
 
1.5%
S 12
 
1.4%
A 12
 
1.4%
i 11
 
1.3%
O 11
 
1.3%
N 10
 
1.2%
Other values (52) 218
26.0%
Hangul
ValueCountFrequency (%)
인 232
 
5.3%
셀 218
 
5.0%
덤 215
 
5.0%
점 184
 
4.2%
대 174
 
4.0%
리 149
 
3.4%
지 145
 
3.3%
사 119
 
2.7%
구 107
 
2.5%
이 87
 
2.0%
Other values (333) 2711
62.5%
CJK
ValueCountFrequency (%)
娥 1
20.0%
銑 1
20.0%
峯 1
20.0%
女 1
20.0%
美 1
20.0%

최종수정시점
Date

Distinct319
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2013-10-29 00:00:00
Maximum2023-10-30 00:00:00
2023-11-11T23:10:59.357152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:59.575933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
U
397 
I
248 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 397
61.6%
I 248
38.4%

Length

2023-11-11T23:10:59.771974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:59.930439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 397
61.6%
i 248
38.4%

데이터갱신일자
Date

Distinct203
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-11-01 02:40:00
2023-11-11T23:11:00.133919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:11:00.368875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing645
Missing (%)100.0%
Memory size5.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct518
Distinct (%)84.9%
Missing35
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean343221.85
Minimum328477.68
Maximum358228.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-11-11T23:11:00.603461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328477.68
5-th percentile333879.18
Q1339411.21
median343510.57
Q3346637.88
95-th percentile353976.23
Maximum358228.21
Range29750.528
Interquartile range (IQR)7226.6683

Descriptive statistics

Standard deviation5636.2004
Coefficient of variation (CV)0.01642145
Kurtosis-0.069618701
Mean343221.85
Median Absolute Deviation (MAD)3781.6606
Skewness0.12577543
Sum2.0936533 × 108
Variance31766755
MonotonicityNot monotonic
2023-11-11T23:11:00.821999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 5
 
0.8%
336549.972520333 4
 
0.6%
333711.315024122 3
 
0.5%
339878.254268164 3
 
0.5%
345833.933915848 3
 
0.5%
346998.541502739 3
 
0.5%
338692.069199627 3
 
0.5%
350650.801737191 3
 
0.5%
339605.590462419 3
 
0.5%
340142.053784192 3
 
0.5%
Other values (508) 577
89.5%
(Missing) 35
 
5.4%
ValueCountFrequency (%)
328477.67690472 1
0.2%
328501.384301002 1
0.2%
328527.912947992 1
0.2%
329963.009038988 1
0.2%
330010.624861749 1
0.2%
330451.539067325 1
0.2%
330472.771477673 1
0.2%
330959.027803839 1
0.2%
331059.888730067 1
0.2%
331443.055715017 1
0.2%
ValueCountFrequency (%)
358228.205268963 1
 
0.2%
357672.591920251 3
0.5%
356310.91765893 1
 
0.2%
355857.357218327 1
 
0.2%
355799.360798998 1
 
0.2%
355684.783405175 2
0.3%
355681.445460699 2
0.3%
355581.13425832 1
 
0.2%
355541.818806022 1
 
0.2%
355482.435571958 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct518
Distinct (%)84.9%
Missing35
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean263140.17
Minimum240473.57
Maximum305213.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-11-11T23:11:00.983304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240473.57
5-th percentile257186.91
Q1261129.15
median263166.29
Q3265220.11
95-th percentile271207.21
Maximum305213.26
Range64739.689
Interquartile range (IQR)4090.964

Descriptive statistics

Standard deviation4849.3781
Coefficient of variation (CV)0.018428878
Kurtosis13.464366
Mean263140.17
Median Absolute Deviation (MAD)2052.7271
Skewness0.38122056
Sum1.605155 × 108
Variance23516468
MonotonicityNot monotonic
2023-11-11T23:11:01.240962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 5
 
0.8%
257005.946256741 4
 
0.6%
265039.230724853 3
 
0.5%
258921.503393543 3
 
0.5%
265804.013859946 3
 
0.5%
272977.359673376 3
 
0.5%
262218.018119362 3
 
0.5%
265683.768049151 3
 
0.5%
259057.41404909 3
 
0.5%
260153.337926548 3
 
0.5%
Other values (508) 577
89.5%
(Missing) 35
 
5.4%
ValueCountFrequency (%)
240473.571874223 1
0.2%
240739.938522968 1
0.2%
241221.080539637 1
0.2%
244375.367003823 1
0.2%
244381.844596492 1
0.2%
244751.008983216 1
0.2%
244991.019802011 1
0.2%
245132.142997977 1
0.2%
245205.414325096 1
0.2%
245522.80412044 1
0.2%
ValueCountFrequency (%)
305213.26093256 1
 
0.2%
287824.307881196 1
 
0.2%
274562.776924699 1
 
0.2%
273859.594112658 1
 
0.2%
273388.974480597 1
 
0.2%
273237.600006005 1
 
0.2%
273228.289744921 1
 
0.2%
273184.19136733 1
 
0.2%
272977.359673376 3
0.5%
272775.300037511 2
0.3%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
후원방문판매업
645 

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 645
100.0%

Length

2023-11-11T23:11:01.486153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:01.629219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업 645
100.0%

자본금의규모
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
645 

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 (%)
0 645
100.0%

Length

2023-11-11T23:11:01.791442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:01.966600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 645
100.0%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct506
Distinct (%)97.9%
Missing128
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean4.9874976 × 109
Minimum1.0218657 × 109
Maximum8.9714015 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-11-11T23:11:02.112755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0218657 × 109
5-th percentile1.6733017 × 109
Q13.5737011 × 109
median5.0321169 × 109
Q36.3410021 × 109
95-th percentile8.5513207 × 109
Maximum8.9714015 × 109
Range7.9495358 × 109
Interquartile range (IQR)2.767301 × 109

Descriptive statistics

Standard deviation2.0040105 × 109
Coefficient of variation (CV)0.40180681
Kurtosis-0.64550324
Mean4.9874976 × 109
Median Absolute Deviation (MAD)1.4201152 × 109
Skewness0.034604272
Sum2.5785363 × 1012
Variance4.016058 × 1018
MonotonicityNot monotonic
2023-11-11T23:11:02.338126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3910701559 2
 
0.3%
7440501915 2
 
0.3%
2560701085 2
 
0.3%
2496800376 2
 
0.3%
5042586478 2
 
0.3%
5901801550 2
 
0.3%
5032345484 2
 
0.3%
5042356932 2
 
0.3%
3130564768 2
 
0.3%
8771801118 2
 
0.3%
Other values (496) 497
77.1%
(Missing) 128
 
19.8%
ValueCountFrequency (%)
1021865702 1
0.2%
1022464612 1
0.2%
1084200885 1
0.2%
1092575311 1
0.2%
1095350725 1
0.2%
1095602336 1
0.2%
1103703483 1
0.2%
1112875620 1
0.2%
1121677026 1
0.2%
1195700593 1
0.2%
ValueCountFrequency (%)
8971401453 1
0.2%
8952101678 1
0.2%
8951801983 1
0.2%
8937400306 1
0.2%
8935800567 1
0.2%
8933201080 1
0.2%
8930202739 1
0.2%
8874200464 1
0.2%
8860201902 1
0.2%
8850501953 1
0.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
01후원방문판매업체08_26_05_P6270000201462700003010000162013-06-18<NA>1영업/정상1영업<NA><NA><NA><NA>534284136<NA>700-831대구광역시 중구 남산동 ***번지 *호대구광역시 중구 중앙대로 ***, *층 (남산동)<NA>한국화장품 반월대리점2014-09-24 00:00:00I2018-08-31 23:59:59<NA>343798.804367263691.65569후원방문판매업05030777083
12후원방문판매업체08_26_05_P6270000201362700003010001852013-06-18<NA>1영업/정상1영업<NA><NA><NA><NA>536270916<NA>705-813대구광역시 남구 대명동 ****번지 **호대구광역시 남구 대명남로 ** (대명동)<NA>한국화장품(주) 남부대리점2014-09-24 00:00:00I2018-08-31 23:59:59<NA>340949.409792260459.921422후원방문판매업05142285169
23후원방문판매업체08_26_05_P6270000202362700003010000542023-07-10<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>42689대구광역시 달서구 감삼동 ***번지 *호 우방드림시티 ***동 ***호대구광역시 달서구 장기로 ***, ***동 ***호 (감삼동, 우방드림시티)<NA>인셀덤 플러스(pLUS)2023-07-10 00:00:00I2023-07-13 00:19:21<NA>338560.694883261656.240623후원방문판매업01721601737
34후원방문판매업체08_26_05_P6270000201362700003010000892013-08-08<NA>1영업/정상2영업<NA><NA><NA><NA>537951237<NA>42133대구광역시 수성구 수성동*가 ***번지 **호대구광역시 수성구 들안로 ***, *층 (수성동*가)<NA>유니베라 수성대리점2023-10-06 00:00:00U2023-10-08 02:40:00<NA>345963.633928262421.180104후원방문판매업05030959468
45후원방문판매업체08_26_05_P6270000201362700003010000912013-08-08<NA>1영업/정상2영업<NA><NA><NA><NA>536549822<NA><NA>대구광역시 남구 대명로**길 *-*, *층 (대명동)<NA>유니베라 달서대리점2022-06-10 00:00:00U2022-06-12 02:40:00<NA>341269.617386260962.921863후원방문판매업05140178663
56후원방문판매업체08_26_05_P6270000201362700003010000922013-08-08<NA>1영업/정상2영업<NA><NA><NA><NA>539542526<NA><NA>대구광역시 달서구 용산로 ***, *층 (감삼동)<NA>유니베라 대구자연대리점2022-06-10 00:00:00U2022-06-12 02:40:00<NA>338227.753031261995.735438후원방문판매업05020862435
67후원방문판매업체08_26_05_P6270000201362700003010001582013-08-19<NA>1영업/정상2영업<NA><NA><NA><NA>533419966<NA>702-856대구광역시 북구 침산동 ***번지 대명빌딩B ***호대구광역시 북구 침산남로 ***-*, ***호 (침산동,대명빌딩B)<NA>오휘북구지사2023-07-14 00:00:00U2023-07-16 02:40:00<NA>343955.841626266351.900565후원방문판매업05041920908
78후원방문판매업체08_26_05_P6270000201362700003010000432013-08-08<NA>1영업/정상2영업<NA><NA><NA><NA>533228971<NA>41443대구광역시 북구 관음동 ****번지 **호 관음빌딩대구광역시 북구 칠곡중앙대로 ***, 관음빌딩 *층(관음동)<NA>아모레 퍼시픽 방판칠곡특약점2023-04-17 00:00:00U2023-05-26 08:48:36<NA>339682.122681271783.808524후원방문판매업05042839433
89후원방문판매업체08_26_05_P6270000201362700003010000452013-08-08<NA>1영업/정상2영업<NA><NA><NA><NA>537928353<NA>42268대구광역시 수성구 매호동 ****번지 **호대구광역시 수성구 고산로 ***-**(매호동)<NA>아모레 퍼시픽 미래 특약점2023-04-17 00:00:00U2023-05-26 08:48:36<NA>353881.314164261575.20856후원방문판매업05041065746
910후원방문판매업체08_26_05_P6270000201362700003010001212013-08-08<NA>1영업/정상2영업<NA><NA><NA><NA>536291009<NA>42430대구광역시 남구 봉덕동 ****번지 *호대구광역시 남구 중앙대로 ***, 명신빌딩 *층 (봉덕동)<NA>오휘 남대구점2023-07-14 00:00:00U2023-07-16 02:40:00<NA>343650.490462261902.483699후원방문판매업05142044693
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
635636후원방문판매업체08_26_05_P6270000202162700003010000072021-01-22<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)2021-01-22 00:00:00I2021-01-24 00:23:04<NA>333659.072922264728.688027후원방문판매업07670501882
636637후원방문판매업체08_26_05_P6270000202262700003010000532022-06-13<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42093대구광역시 수성구 범어동 ***번지 **호 ***호대구광역시 수성구 범어로**길 **, ***호(범어동)<NA>더블유인셀덤2022-06-13 00:00:00I2022-06-15 00:22:30<NA>347750.583246262919.442942후원방문판매업06581401862
637638후원방문판매업체08_26_05_P6270000202262700003010000542022-06-13<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41851대구광역시 서구 내당동 ***번지 *호 ***호대구광역시 서구 평리로**길 *, ***호(내당동)<NA>인셀덤진2022-06-13 00:00:00I2022-06-15 00:22:30<NA>340268.393973263594.80784후원방문판매업06732601452
638639후원방문판매업체08_26_05_P6270000202262700003010000552022-06-13<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41599대구광역시 북구 사수동 ***번지 *호 금호서한이다음 ***동 ****호대구광역시 북구 한강로 **, ***동 ****호(사수동, 금호서한이다음)<NA>에이블인셀덤2022-06-13 00:00:00I2022-06-15 00:22:30<NA>336398.075644267464.392692후원방문판매업06473501057
639640후원방문판매업체08_26_05_P6270000202262700003010000562022-06-13<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42037대구광역시 수성구 만촌동 ****번지 *호 한흥아트빌 ***호대구광역시 수성구 동원로**길 **, ***호(만촌동, 한흥아트빌)<NA>와이즈(Wise)인셀덤2022-06-13 00:00:00I2022-06-15 00:22:30<NA>347875.983349264806.85062후원방문판매업02563700991
640641후원방문판매업체08_26_05_P6270000202262700003010000582022-06-13<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42706대구광역시 달서구 파호동 **번지 *호대구광역시 달서구 호산로**길 **(파호동)<NA>인셀덤 주홍2022-06-13 00:00:00I2022-06-15 00:22:30<NA>333255.789207262316.616295후원방문판매업07282201472
641642후원방문판매업체08_26_05_P6270000202362700003010000622023-10-23<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42974대구광역시 달성군 옥포읍 강림리 ****번지 *호 대구옥포LH천년나무*단지 ***동 ***호대구광역시 달성군 옥포읍 돌미로 **, ***동 *층 ***호 (대구옥포LH천년나무*단지)<NA>시투안대구수성위너스2023-10-23 00:00:00I2023-10-25 00:17:39<NA>329963.009039254372.177588후원방문판매업0<NA>
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