Overview

Dataset statistics

Number of variables32
Number of observations3996
Missing cells48041
Missing cells (%)37.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory278.0 B

Variable types

Numeric18
Categorical6
Text4
Unsupported3
DateTime1

Dataset

Description22년06월_6270000_대구광역시_08_26_02_P_방문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093696&dataSetDetailId=DDI_0000093728&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 3541 (88.6%) missing valuesMissing
폐업일자 has 2325 (58.2%) missing valuesMissing
휴업시작일자 has 3986 (99.7%) missing valuesMissing
휴업종료일자 has 3986 (99.7%) missing valuesMissing
재개업일자 has 3990 (99.8%) missing valuesMissing
소재지전화 has 700 (17.5%) missing valuesMissing
소재지면적 has 3996 (100.0%) missing valuesMissing
소재지우편번호 has 2566 (64.2%) missing valuesMissing
소재지전체주소 has 667 (16.7%) missing valuesMissing
도로명전체주소 has 1130 (28.3%) missing valuesMissing
도로명우편번호 has 2274 (56.9%) missing valuesMissing
업태구분명 has 3996 (100.0%) missing valuesMissing
좌표정보(X) has 1115 (27.9%) missing valuesMissing
좌표정보(Y) has 1115 (27.9%) missing valuesMissing
자산규모 has 2883 (72.1%) missing valuesMissing
부채총액 has 2890 (72.3%) missing valuesMissing
자본금 has 2885 (72.2%) missing valuesMissing
판매방식명 has 3996 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 28.01450277)Skewed
부채총액 is highly skewed (γ1 = 24.95274116)Skewed
자본금 is highly skewed (γ1 = 24.22722967)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 328 (8.2%) zerosZeros
부채총액 has 669 (16.7%) zerosZeros
자본금 has 302 (7.6%) zerosZeros

Reproduction

Analysis started2023-12-10 19:19:51.966184
Analysis finished2023-12-10 19:19:53.832609
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3996
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1998.5
Minimum1
Maximum3996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:19:53.952786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile200.75
Q1999.75
median1998.5
Q32997.25
95-th percentile3796.25
Maximum3996
Range3995
Interquartile range (IQR)1997.5

Descriptive statistics

Standard deviation1153.6902
Coefficient of variation (CV)0.57727804
Kurtosis-1.2
Mean1998.5
Median Absolute Deviation (MAD)999
Skewness0
Sum7986006
Variance1331001
MonotonicityStrictly increasing
2023-12-11T04:19:54.260017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2671 1
 
< 0.1%
2658 1
 
< 0.1%
2659 1
 
< 0.1%
2660 1
 
< 0.1%
2661 1
 
< 0.1%
2662 1
 
< 0.1%
2663 1
 
< 0.1%
2664 1
 
< 0.1%
2665 1
 
< 0.1%
Other values (3986) 3986
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3996 1
< 0.1%
3995 1
< 0.1%
3994 1
< 0.1%
3993 1
< 0.1%
3992 1
< 0.1%
3991 1
< 0.1%
3990 1
< 0.1%
3989 1
< 0.1%
3988 1
< 0.1%
3987 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
방문판매업
3996 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방문판매업 3996
100.0%

Length

2023-12-11T04:19:54.597597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:19:54.770214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문판매업 3996
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
08_26_02_P
3996 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_02_P
2nd row08_26_02_P
3rd row08_26_02_P
4th row08_26_02_P
5th row08_26_02_P

Common Values

ValueCountFrequency (%)
08_26_02_P 3996
100.0%

Length

2023-12-11T04:19:54.967094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:19:55.297605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_02_p 3996
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441208.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:19:55.535987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation23276.441
Coefficient of variation (CV)0.0067640307
Kurtosis-1.4626419
Mean3441208.7
Median Absolute Deviation (MAD)20000
Skewness-0.0028332113
Sum1.375107 × 1010
Variance5.4179273 × 108
MonotonicityIncreasing
2023-12-11T04:19:55.738301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 784
19.6%
3470000 697
17.4%
3420000 664
16.6%
3460000 617
15.4%
3450000 444
11.1%
3440000 384
9.6%
3430000 246
 
6.2%
3480000 160
 
4.0%
ValueCountFrequency (%)
3410000 784
19.6%
3420000 664
16.6%
3430000 246
 
6.2%
3440000 384
9.6%
3450000 444
11.1%
3460000 617
15.4%
3470000 697
17.4%
3480000 160
 
4.0%
ValueCountFrequency (%)
3480000 160
 
4.0%
3470000 697
17.4%
3460000 617
15.4%
3450000 444
11.1%
3440000 384
9.6%
3430000 246
 
6.2%
3420000 664
16.6%
3410000 784
19.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3996
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0100371 × 1018
Minimum1.996341 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:19:56.017634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996341 × 1018
5-th percentile1.999345 × 1018
Q12.005342 × 1018
median2.009348 × 1018
Q32.015344 × 1018
95-th percentile2.020345 × 1018
Maximum2.022348 × 1018
Range2.6007029 × 1016
Interquartile range (IQR)1.0002001 × 1016

Descriptive statistics

Standard deviation6.3964549 × 1015
Coefficient of variation (CV)0.0031822572
Kurtosis-0.84306673
Mean2.0100371 × 1018
Median Absolute Deviation (MAD)5.000002 × 1015
Skewness-0.032197867
Sum7.77448 × 1018
Variance4.0914636 × 1031
MonotonicityNot monotonic
2023-12-11T04:19:56.264950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1997341007123200032 1
 
< 0.1%
2015346014023200012 1
 
< 0.1%
2010346011723200018 1
 
< 0.1%
2010346011723200022 1
 
< 0.1%
2012346011723200011 1
 
< 0.1%
2010346011723200002 1
 
< 0.1%
2012346011723200031 1
 
< 0.1%
2013346011723200018 1
 
< 0.1%
2013346014023200002 1
 
< 0.1%
2010346010223200025 1
 
< 0.1%
Other values (3986) 3986
99.7%
ValueCountFrequency (%)
1996341007123200001 1
< 0.1%
1996341007123200002 1
< 0.1%
1996341007123200003 1
< 0.1%
1996341007123200004 1
< 0.1%
1996341007123200005 1
< 0.1%
1996341007123200006 1
< 0.1%
1996341007123200007 1
< 0.1%
1996341007123200008 1
< 0.1%
1996341007123200009 1
< 0.1%
1996341007123200010 1
< 0.1%
ValueCountFrequency (%)
2022348036523200003 1
< 0.1%
2022348036523200002 1
< 0.1%
2022348036523200001 1
< 0.1%
2022347018123200009 1
< 0.1%
2022347018123200008 1
< 0.1%
2022347018123200007 1
< 0.1%
2022347018123200006 1
< 0.1%
2022347018123200005 1
< 0.1%
2022347018123200004 1
< 0.1%
2022347018123200003 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct2721
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20095707
Minimum19960812
Maximum20220627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:19:56.509782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960812
5-th percentile19990726
Q120050402
median20090929
Q320150218
95-th percentile20200310
Maximum20220627
Range259815
Interquartile range (IQR)99816.5

Descriptive statistics

Standard deviation63192.987
Coefficient of variation (CV)0.0031446013
Kurtosis-0.81721657
Mean20095707
Median Absolute Deviation (MAD)49810.5
Skewness-0.0016292299
Sum8.0302445 × 1010
Variance3.9933536 × 109
MonotonicityNot monotonic
2023-12-11T04:19:56.754320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070529 13
 
0.3%
20170628 10
 
0.3%
19960902 8
 
0.2%
20050402 8
 
0.2%
20110106 8
 
0.2%
20041026 7
 
0.2%
20100111 7
 
0.2%
20110104 7
 
0.2%
20170629 7
 
0.2%
20111228 6
 
0.2%
Other values (2711) 3915
98.0%
ValueCountFrequency (%)
19960812 1
 
< 0.1%
19960814 1
 
< 0.1%
19960827 2
 
0.1%
19960830 1
 
< 0.1%
19960902 8
0.2%
19960904 1
 
< 0.1%
19960905 1
 
< 0.1%
19960911 1
 
< 0.1%
19961004 1
 
< 0.1%
19961104 2
 
0.1%
ValueCountFrequency (%)
20220627 1
< 0.1%
20220624 1
< 0.1%
20220623 1
< 0.1%
20220621 1
< 0.1%
20220617 1
< 0.1%
20220613 1
< 0.1%
20220530 2
0.1%
20220525 1
< 0.1%
20220520 1
< 0.1%
20220517 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)12.1%
Missing3541
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean20090226
Minimum20031210
Maximum20220310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:19:57.112310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031210
5-th percentile20070920
Q120080812
median20090122
Q320090217
95-th percentile20130802
Maximum20220310
Range189100
Interquartile range (IQR)9405

Descriptive statistics

Standard deviation18182.194
Coefficient of variation (CV)0.00090502686
Kurtosis9.9516287
Mean20090226
Median Absolute Deviation (MAD)95
Skewness2.2689961
Sum9.1410526 × 109
Variance3.3059217 × 108
MonotonicityNot monotonic
2023-12-11T04:19:57.505411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090217 97
 
2.4%
20090122 81
 
2.0%
20090123 56
 
1.4%
20080715 22
 
0.6%
20120823 22
 
0.6%
20081128 19
 
0.5%
20070920 17
 
0.4%
20071008 15
 
0.4%
20080812 13
 
0.3%
20080703 12
 
0.3%
Other values (45) 101
 
2.5%
(Missing) 3541
88.6%
ValueCountFrequency (%)
20031210 3
 
0.1%
20061122 1
 
< 0.1%
20070611 2
 
0.1%
20070706 1
 
< 0.1%
20070820 5
 
0.1%
20070910 2
 
0.1%
20070914 1
 
< 0.1%
20070920 17
0.4%
20071002 1
 
< 0.1%
20071008 15
0.4%
ValueCountFrequency (%)
20220310 1
 
< 0.1%
20180530 1
 
< 0.1%
20161026 1
 
< 0.1%
20160105 4
0.1%
20151230 1
 
< 0.1%
20150717 1
 
< 0.1%
20150714 1
 
< 0.1%
20150623 1
 
< 0.1%
20141215 1
 
< 0.1%
20130917 1
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
3
1840 
4
1413 
1
736 
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1840
46.0%
4 1413
35.4%
1 736
 
18.4%
2 7
 
0.2%

Length

2023-12-11T04:19:58.126144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:19:58.364844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1840
46.0%
4 1413
35.4%
1 736
 
18.4%
2 7
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
폐업
1840 
취소/말소/만료/정지/중지
1413 
영업/정상
736 
휴업
 
7

Length

Max length14
Median length5
Mean length6.7957958
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 row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 1840
46.0%
취소/말소/만료/정지/중지 1413
35.4%
영업/정상 736
 
18.4%
휴업 7
 
0.2%

Length

2023-12-11T04:19:58.566967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:19:58.750294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1840
46.0%
취소/말소/만료/정지/중지 1413
35.4%
영업/정상 736
 
18.4%
휴업 7
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7057057
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:19:58.922337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0451665
Coefficient of variation (CV)0.55189662
Kurtosis-0.81868471
Mean3.7057057
Median Absolute Deviation (MAD)1
Skewness0.55767482
Sum14808
Variance4.1827059
MonotonicityNot monotonic
2023-12-11T04:19:59.099968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 1840
46.0%
7 953
23.8%
1 731
 
18.3%
4 460
 
11.5%
2 7
 
0.2%
6 4
 
0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
1 731
 
18.3%
2 7
 
0.2%
3 1840
46.0%
4 460
 
11.5%
6 4
 
0.1%
7 953
23.8%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 953
23.8%
6 4
 
0.1%
4 460
 
11.5%
3 1840
46.0%
2 7
 
0.2%
1 731
 
18.3%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
폐업처리
1840 
직권말소
953 
정상영업
731 
직권취소
460 
휴업처리
 
7
Other values (2)
 
5

Length

Max length6
Median length4
Mean length4.002002
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1840
46.0%
직권말소 953
23.8%
정상영업 731
 
18.3%
직권취소 460
 
11.5%
휴업처리 7
 
0.2%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

Length

2023-12-11T04:19:59.321974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:19:59.527071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1840
46.0%
직권말소 953
23.8%
정상영업 731
 
18.3%
직권취소 460
 
11.5%
휴업처리 7
 
0.2%
타시군구전입 4
 
0.1%
영업재개 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1212
Distinct (%)72.5%
Missing2325
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean20133449
Minimum19970508
Maximum20220609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:19:59.750982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970508
5-th percentile20070960
Q120100808
median20130819
Q320170127
95-th percentile20201218
Maximum20220609
Range250101
Interquartile range (IQR)69319

Descriptive statistics

Standard deviation42122.315
Coefficient of variation (CV)0.002092156
Kurtosis-0.65177369
Mean20133449
Median Absolute Deviation (MAD)30383
Skewness0.14411869
Sum3.3642994 × 1010
Variance1.7742895 × 109
MonotonicityNot monotonic
2023-12-11T04:20:00.001801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130916 11
 
0.3%
20121231 7
 
0.2%
20101203 6
 
0.2%
20130819 6
 
0.2%
20131028 6
 
0.2%
20101130 6
 
0.2%
20131023 6
 
0.2%
20140120 5
 
0.1%
20131022 5
 
0.1%
20131230 5
 
0.1%
Other values (1202) 1608
40.2%
(Missing) 2325
58.2%
ValueCountFrequency (%)
19970508 1
< 0.1%
19990629 1
< 0.1%
20020502 1
< 0.1%
20020801 1
< 0.1%
20030418 1
< 0.1%
20040224 1
< 0.1%
20040317 1
< 0.1%
20040605 1
< 0.1%
20040612 1
< 0.1%
20040625 1
< 0.1%
ValueCountFrequency (%)
20220609 1
< 0.1%
20220607 1
< 0.1%
20220531 1
< 0.1%
20220519 1
< 0.1%
20220414 1
< 0.1%
20220323 1
< 0.1%
20220307 1
< 0.1%
20220211 1
< 0.1%
20220208 1
< 0.1%
20220203 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing3986
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20144725
Minimum19970415
Maximum20210807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:00.250759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970415
5-th percentile20029011
Q120123207
median20156061
Q320200545
95-th percentile20206358
Maximum20210807
Range240392
Interquartile range (IQR)77338.25

Descriptive statistics

Standard deviation72381.564
Coefficient of variation (CV)0.0035930778
Kurtosis3.4196149
Mean20144725
Median Absolute Deviation (MAD)44409
Skewness-1.6779625
Sum2.0144725 × 108
Variance5.2390909 × 109
MonotonicityNot monotonic
2023-12-11T04:20:00.605590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20100629 1
 
< 0.1%
20200921 1
 
< 0.1%
20200620 1
 
< 0.1%
20200320 1
 
< 0.1%
20130715 1
 
< 0.1%
20161219 1
 
< 0.1%
19970415 1
 
< 0.1%
20120704 1
 
< 0.1%
20150903 1
 
< 0.1%
20210807 1
 
< 0.1%
(Missing) 3986
99.7%
ValueCountFrequency (%)
19970415 1
< 0.1%
20100629 1
< 0.1%
20120704 1
< 0.1%
20130715 1
< 0.1%
20150903 1
< 0.1%
20161219 1
< 0.1%
20200320 1
< 0.1%
20200620 1
< 0.1%
20200921 1
< 0.1%
20210807 1
< 0.1%
ValueCountFrequency (%)
20210807 1
< 0.1%
20200921 1
< 0.1%
20200620 1
< 0.1%
20200320 1
< 0.1%
20161219 1
< 0.1%
20150903 1
< 0.1%
20130715 1
< 0.1%
20120704 1
< 0.1%
20100629 1
< 0.1%
19970415 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing3986
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20154593
Minimum19990415
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:00.820354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990415
5-th percentile20044511
Q120137804
median20165475
Q320200628
95-th percentile20211078
Maximum20211207
Range220792
Interquartile range (IQR)62823.5

Descriptive statistics

Standard deviation67005.321
Coefficient of variation (CV)0.0033245683
Kurtosis3.8896209
Mean20154593
Median Absolute Deviation (MAD)35150.5
Skewness-1.8305731
Sum2.0154593 × 108
Variance4.4897131 × 109
MonotonicityNot monotonic
2023-12-11T04:20:01.039102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20110629 1
 
< 0.1%
20210921 1
 
< 0.1%
20200630 1
 
< 0.1%
20200620 1
 
< 0.1%
20160630 1
 
< 0.1%
20170320 1
 
< 0.1%
19990415 1
 
< 0.1%
20130329 1
 
< 0.1%
20160229 1
 
< 0.1%
20211207 1
 
< 0.1%
(Missing) 3986
99.7%
ValueCountFrequency (%)
19990415 1
< 0.1%
20110629 1
< 0.1%
20130329 1
< 0.1%
20160229 1
< 0.1%
20160630 1
< 0.1%
20170320 1
< 0.1%
20200620 1
< 0.1%
20200630 1
< 0.1%
20210921 1
< 0.1%
20211207 1
< 0.1%
ValueCountFrequency (%)
20211207 1
< 0.1%
20210921 1
< 0.1%
20200630 1
< 0.1%
20200620 1
< 0.1%
20170320 1
< 0.1%
20160630 1
< 0.1%
20160229 1
< 0.1%
20130329 1
< 0.1%
20110629 1
< 0.1%
19990415 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing3990
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20174094
Minimum20090304
Maximum20211129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:01.229699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090304
5-th percentile20108004
Q120165958
median20185464
Q320205927
95-th percentile20211122
Maximum20211129
Range120825
Interquartile range (IQR)39969.25

Descriptive statistics

Standard deviation45250.521
Coefficient of variation (CV)0.0022430014
Kurtosis2.6235964
Mean20174094
Median Absolute Deviation (MAD)25000
Skewness-1.5683174
Sum1.2104456 × 108
Variance2.0476096 × 109
MonotonicityNot monotonic
2023-12-11T04:20:01.436146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20211102 1
 
< 0.1%
20161102 1
 
< 0.1%
20090304 1
 
< 0.1%
20211129 1
 
< 0.1%
20180525 1
 
< 0.1%
20190402 1
 
< 0.1%
(Missing) 3990
99.8%
ValueCountFrequency (%)
20090304 1
< 0.1%
20161102 1
< 0.1%
20180525 1
< 0.1%
20190402 1
< 0.1%
20211102 1
< 0.1%
20211129 1
< 0.1%
ValueCountFrequency (%)
20211129 1
< 0.1%
20211102 1
< 0.1%
20190402 1
< 0.1%
20180525 1
< 0.1%
20161102 1
< 0.1%
20090304 1
< 0.1%

소재지전화
Text

MISSING 

Distinct3039
Distinct (%)92.2%
Missing700
Missing (%)17.5%
Memory size31.3 KiB
2023-12-11T04:20:01.914770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.381675
Min length1

Characters and Unicode

Total characters37514
Distinct characters19
Distinct categories8 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2866 ?
Unique (%)87.0%

Sample

1st row053 255 2749
2nd row053 256 3853
3rd row053 427 8184
4th row053 253 3191
5th row053 422 7778
ValueCountFrequency (%)
053 1319
 
22.5%
256 47
 
0.8%
429 46
 
0.8%
421 36
 
0.6%
423 35
 
0.6%
255 35
 
0.6%
424 32
 
0.5%
426 32
 
0.5%
422 31
 
0.5%
252 29
 
0.5%
Other values (3100) 4221
72.0%
2023-12-11T04:20:02.700572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5783
15.4%
0 5454
14.5%
3 4900
13.1%
- 2998
8.0%
2 2917
7.8%
2615
7.0%
7 2420
6.5%
4 2362
6.3%
6 2355
6.3%
1 2091
 
5.6%
Other values (9) 3619
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31868
84.9%
Dash Punctuation 2998
 
8.0%
Space Separator 2615
 
7.0%
Close Punctuation 13
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Math Symbol 5
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5783
18.1%
0 5454
17.1%
3 4900
15.4%
2 2917
9.2%
7 2420
7.6%
4 2362
7.4%
6 2355
7.4%
1 2091
 
6.6%
8 1864
 
5.8%
9 1722
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 9
81.8%
/ 1
 
9.1%
' 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 2998
100.0%
Space Separator
ValueCountFrequency (%)
2615
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37514
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5783
15.4%
0 5454
14.5%
3 4900
13.1%
- 2998
8.0%
2 2917
7.8%
2615
7.0%
7 2420
6.5%
4 2362
6.3%
6 2355
6.3%
1 2091
 
5.6%
Other values (9) 3619
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37514
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5783
15.4%
0 5454
14.5%
3 4900
13.1%
- 2998
8.0%
2 2917
7.8%
2615
7.0%
7 2420
6.5%
4 2362
6.3%
6 2355
6.3%
1 2091
 
5.6%
Other values (9) 3619
9.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3996
Missing (%)100.0%
Memory size35.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct394
Distinct (%)27.6%
Missing2566
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean703563.57
Minimum614030
Maximum790882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:02.952993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum614030
5-th percentile700412
Q1701320
median703805.5
Q3705032
95-th percentile706831
Maximum790882
Range176852
Interquartile range (IQR)3712

Descriptive statistics

Standard deviation4186.6603
Coefficient of variation (CV)0.0059506496
Kurtosis278.60681
Mean703563.57
Median Absolute Deviation (MAD)1980
Skewness-0.13025132
Sum1.0060959 × 109
Variance17528124
MonotonicityNot monotonic
2023-12-11T04:20:03.177232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705030 51
 
1.3%
701020 39
 
1.0%
704340 36
 
0.9%
702010 34
 
0.9%
700719 33
 
0.8%
702260 33
 
0.8%
704140 29
 
0.7%
704060 27
 
0.7%
706010 24
 
0.6%
706020 20
 
0.5%
Other values (384) 1104
27.6%
(Missing) 2566
64.2%
ValueCountFrequency (%)
614030 1
 
< 0.1%
700010 7
0.2%
700020 2
 
0.1%
700060 1
 
< 0.1%
700070 2
 
0.1%
700082 5
0.1%
700092 1
 
< 0.1%
700093 2
 
0.1%
700111 3
0.1%
700140 2
 
0.1%
ValueCountFrequency (%)
790882 1
 
< 0.1%
730010 1
 
< 0.1%
711891 1
 
< 0.1%
711882 1
 
< 0.1%
711874 1
 
< 0.1%
711872 1
 
< 0.1%
711863 1
 
< 0.1%
711857 9
0.2%
711854 1
 
< 0.1%
711852 2
 
0.1%

소재지전체주소
Text

MISSING 

Distinct2095
Distinct (%)62.9%
Missing667
Missing (%)16.7%
Memory size31.3 KiB
2023-12-11T04:20:03.749185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length24.483328
Min length7

Characters and Unicode

Total characters81505
Distinct characters407
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1614 ?
Unique (%)48.5%

Sample

1st row대구광역시 중구 남산*동 ****-*
2nd row대구광역시 중구 서문로*가 **-*
3rd row대구광역시 중구 대봉*동 **-**
4th row대구광역시 중구 남산*동 ****-**
5th row대구광역시 중구 남산동 ***-*
ValueCountFrequency (%)
대구광역시 3013
17.9%
호 2058
 
12.2%
번지 2014
 
12.0%
1180
 
7.0%
층 720
 
4.3%
중구 696
 
4.1%
달서구 546
 
3.2%
수성구 496
 
2.9%
동구 384
 
2.3%
북구 343
 
2.0%
Other values (1073) 5376
32.0%
2023-12-11T04:20:04.606980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 18005
22.1%
16640
20.4%
구 6015
 
7.4%
동 3760
 
4.6%
대 3516
 
4.3%
시 3078
 
3.8%
광 3034
 
3.7%
역 3028
 
3.7%
지 2211
 
2.7%
호 2153
 
2.6%
Other values (397) 20065
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45316
55.6%
Other Punctuation 18101
 
22.2%
Space Separator 16640
 
20.4%
Dash Punctuation 1142
 
1.4%
Uppercase Letter 161
 
0.2%
Close Punctuation 62
 
0.1%
Open Punctuation 62
 
0.1%
Lowercase Letter 18
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6015
 
13.3%
동 3760
 
8.3%
대 3516
 
7.8%
시 3078
 
6.8%
광 3034
 
6.7%
역 3028
 
6.7%
지 2211
 
4.9%
호 2153
 
4.8%
번 2039
 
4.5%
성 968
 
2.1%
Other values (357) 15514
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 32
19.9%
A 19
11.8%
T 18
11.2%
K 17
10.6%
D 17
10.6%
S 12
 
7.5%
M 7
 
4.3%
C 7
 
4.3%
L 6
 
3.7%
O 6
 
3.7%
Other values (9) 20
12.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
t 2
 
11.1%
k 2
 
11.1%
b 2
 
11.1%
m 1
 
5.6%
c 1
 
5.6%
d 1
 
5.6%
y 1
 
5.6%
s 1
 
5.6%
a 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 18005
99.5%
/ 43
 
0.2%
, 38
 
0.2%
. 13
 
0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16640
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45317
55.6%
Common 36009
44.2%
Latin 179
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6015
 
13.3%
동 3760
 
8.3%
대 3516
 
7.8%
시 3078
 
6.8%
광 3034
 
6.7%
역 3028
 
6.7%
지 2211
 
4.9%
호 2153
 
4.8%
번 2039
 
4.5%
성 968
 
2.1%
Other values (358) 15515
34.2%
Latin
ValueCountFrequency (%)
B 32
17.9%
A 19
10.6%
T 18
10.1%
K 17
9.5%
D 17
9.5%
S 12
 
6.7%
M 7
 
3.9%
C 7
 
3.9%
L 6
 
3.4%
e 6
 
3.4%
Other values (19) 38
21.2%
Common
ValueCountFrequency (%)
* 18005
50.0%
16640
46.2%
- 1142
 
3.2%
) 62
 
0.2%
( 62
 
0.2%
/ 43
 
0.1%
, 38
 
0.1%
. 13
 
< 0.1%
@ 2
 
< 0.1%
~ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45316
55.6%
ASCII 36188
44.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 18005
49.8%
16640
46.0%
- 1142
 
3.2%
) 62
 
0.2%
( 62
 
0.2%
/ 43
 
0.1%
, 38
 
0.1%
B 32
 
0.1%
A 19
 
0.1%
T 18
 
< 0.1%
Other values (29) 127
 
0.4%
Hangul
ValueCountFrequency (%)
구 6015
 
13.3%
동 3760
 
8.3%
대 3516
 
7.8%
시 3078
 
6.8%
광 3034
 
6.7%
역 3028
 
6.7%
지 2211
 
4.9%
호 2153
 
4.8%
번 2039
 
4.5%
성 968
 
2.1%
Other values (357) 15514
34.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2185
Distinct (%)76.2%
Missing1130
Missing (%)28.3%
Memory size31.3 KiB
2023-12-11T04:20:05.144875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length29.480809
Min length11

Characters and Unicode

Total characters84492
Distinct characters416
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1820 ?
Unique (%)63.5%

Sample

1st row대구광역시 중구 명덕로 ***, 한국타일도기전시장 (대봉동)
2nd row대구광역시 중구 국채보상로***길 * (동인동*가)
3rd row대구광역시 중구 경상감영길 *** (동문동)
4th row대구광역시 중구 큰장로**길 **, *층 제*호 (대신동)
5th row대구광역시 중구 태평로 ***, 미주빌딩 *층 (동인동*가)
ValueCountFrequency (%)
2885
17.3%
대구광역시 2865
17.1%
층 779
 
4.7%
호 626
 
3.7%
달서구 543
 
3.2%
동구 463
 
2.8%
북구 435
 
2.6%
수성구 434
 
2.6%
중구 342
 
2.0%
남구 318
 
1.9%
Other values (1611) 7023
42.0%
2023-12-11T04:20:05.844908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13869
16.4%
* 13856
16.4%
구 6068
 
7.2%
동 4071
 
4.8%
대 3953
 
4.7%
시 2937
 
3.5%
역 2901
 
3.4%
광 2880
 
3.4%
로 2820
 
3.3%
) 2773
 
3.3%
Other values (406) 28364
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48421
57.3%
Other Punctuation 16051
 
19.0%
Space Separator 13869
 
16.4%
Close Punctuation 2773
 
3.3%
Open Punctuation 2772
 
3.3%
Dash Punctuation 457
 
0.5%
Uppercase Letter 129
 
0.2%
Lowercase Letter 18
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6068
 
12.5%
동 4071
 
8.4%
대 3953
 
8.2%
시 2937
 
6.1%
역 2901
 
6.0%
광 2880
 
5.9%
로 2820
 
5.8%
층 1081
 
2.2%
길 1075
 
2.2%
성 1008
 
2.1%
Other values (373) 19627
40.5%
Uppercase Letter
ValueCountFrequency (%)
K 25
19.4%
T 19
14.7%
B 19
14.7%
A 18
14.0%
S 15
11.6%
L 6
 
4.7%
H 5
 
3.9%
C 5
 
3.9%
P 4
 
3.1%
G 3
 
2.3%
Other values (7) 10
 
7.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
61.1%
t 2
 
11.1%
k 2
 
11.1%
y 1
 
5.6%
s 1
 
5.6%
a 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 13856
86.3%
, 2184
 
13.6%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2773
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2772
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 457
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48421
57.3%
Common 35924
42.5%
Latin 147
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6068
 
12.5%
동 4071
 
8.4%
대 3953
 
8.2%
시 2937
 
6.1%
역 2901
 
6.0%
광 2880
 
5.9%
로 2820
 
5.8%
층 1081
 
2.2%
길 1075
 
2.2%
성 1008
 
2.1%
Other values (373) 19627
40.5%
Latin
ValueCountFrequency (%)
K 25
17.0%
T 19
12.9%
B 19
12.9%
A 18
12.2%
S 15
10.2%
e 11
7.5%
L 6
 
4.1%
H 5
 
3.4%
C 5
 
3.4%
P 4
 
2.7%
Other values (13) 20
13.6%
Common
ValueCountFrequency (%)
13869
38.6%
* 13856
38.6%
) 2773
 
7.7%
( 2772
 
7.7%
, 2184
 
6.1%
- 457
 
1.3%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 2
 
< 0.1%
~ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48421
57.3%
ASCII 36071
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13869
38.4%
* 13856
38.4%
) 2773
 
7.7%
( 2772
 
7.7%
, 2184
 
6.1%
- 457
 
1.3%
K 25
 
0.1%
T 19
 
0.1%
B 19
 
0.1%
A 18
 
< 0.1%
Other values (23) 79
 
0.2%
Hangul
ValueCountFrequency (%)
구 6068
 
12.5%
동 4071
 
8.4%
대 3953
 
8.2%
시 2937
 
6.1%
역 2901
 
6.0%
광 2880
 
5.9%
로 2820
 
5.8%
층 1081
 
2.2%
길 1075
 
2.2%
성 1008
 
2.1%
Other values (373) 19627
40.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct971
Distinct (%)56.4%
Missing2274
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean295434.67
Minimum41000
Maximum711870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:06.070645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41166.05
Q141940
median42703.5
Q3702751.5
95-th percentile706820
Maximum711870
Range670870
Interquartile range (IQR)660811.5

Descriptive statistics

Standard deviation321881.74
Coefficient of variation (CV)1.0895192
Kurtosis-1.7684564
Mean295434.67
Median Absolute Deviation (MAD)1262.5
Skewness0.48319206
Sum5.087385 × 108
Variance1.0360786 × 1011
MonotonicityNot monotonic
2023-12-11T04:20:06.267687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705810 14
 
0.4%
41260 10
 
0.3%
700719 10
 
0.3%
41940 9
 
0.2%
42661 8
 
0.2%
701824 8
 
0.2%
41208 8
 
0.2%
42739 7
 
0.2%
42689 6
 
0.2%
706831 6
 
0.2%
Other values (961) 1636
40.9%
(Missing) 2274
56.9%
ValueCountFrequency (%)
41000 5
0.1%
41001 1
 
< 0.1%
41002 3
0.1%
41015 1
 
< 0.1%
41020 1
 
< 0.1%
41025 2
 
0.1%
41026 1
 
< 0.1%
41028 2
 
0.1%
41033 1
 
< 0.1%
41034 3
0.1%
ValueCountFrequency (%)
711870 1
 
< 0.1%
711860 1
 
< 0.1%
711857 1
 
< 0.1%
711856 1
 
< 0.1%
711854 1
 
< 0.1%
711843 2
0.1%
711837 3
0.1%
711836 1
 
< 0.1%
711834 3
0.1%
711832 1
 
< 0.1%

사업장명
Text

Distinct3699
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2023-12-11T04:20:06.706298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23
Mean length7.3438438
Min length1

Characters and Unicode

Total characters29346
Distinct characters705
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3493 ?
Unique (%)87.4%

Sample

1st row체험학습교육원
2nd row삼일사
3rd rowKBS미디어신화문화사
4th row교육문화 신아사
5th rowI.L.C
ValueCountFrequency (%)
주식회사 251
 
4.8%
주 56
 
1.1%
마임 41
 
0.8%
인셀덤 29
 
0.6%
김정문알로에 22
 
0.4%
윤선생영어교실 22
 
0.4%
한불화장품 21
 
0.4%
대구 20
 
0.4%
대구지사 19
 
0.4%
유니베라 19
 
0.4%
Other values (3960) 4710
90.4%
2023-12-11T04:20:07.386055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1218
 
4.2%
대 873
 
3.0%
사 850
 
2.9%
주 763
 
2.6%
이 650
 
2.2%
리 636
 
2.2%
지 614
 
2.1%
( 570
 
1.9%
) 570
 
1.9%
스 554
 
1.9%
Other values (695) 22048
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25605
87.3%
Space Separator 1218
 
4.2%
Uppercase Letter 586
 
2.0%
Open Punctuation 570
 
1.9%
Close Punctuation 570
 
1.9%
Lowercase Letter 318
 
1.1%
Other Symbol 273
 
0.9%
Other Punctuation 116
 
0.4%
Decimal Number 67
 
0.2%
Dash Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 873
 
3.4%
사 850
 
3.3%
주 763
 
3.0%
이 650
 
2.5%
리 636
 
2.5%
지 614
 
2.4%
스 554
 
2.2%
점 502
 
2.0%
아 465
 
1.8%
구 438
 
1.7%
Other values (626) 19260
75.2%
Uppercase Letter
ValueCountFrequency (%)
S 64
 
10.9%
K 58
 
9.9%
C 54
 
9.2%
T 47
 
8.0%
M 42
 
7.2%
I 34
 
5.8%
D 32
 
5.5%
G 28
 
4.8%
B 25
 
4.3%
L 24
 
4.1%
Other values (14) 178
30.4%
Lowercase Letter
ValueCountFrequency (%)
o 40
12.6%
e 40
12.6%
a 27
 
8.5%
i 23
 
7.2%
n 23
 
7.2%
r 22
 
6.9%
c 21
 
6.6%
t 18
 
5.7%
l 16
 
5.0%
s 14
 
4.4%
Other values (13) 74
23.3%
Decimal Number
ValueCountFrequency (%)
1 27
40.3%
2 11
16.4%
0 9
 
13.4%
4 6
 
9.0%
3 4
 
6.0%
5 3
 
4.5%
7 2
 
3.0%
9 2
 
3.0%
6 2
 
3.0%
8 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 62
53.4%
& 32
27.6%
, 17
 
14.7%
/ 3
 
2.6%
# 1
 
0.9%
· 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1218
100.0%
Open Punctuation
ValueCountFrequency (%)
( 570
100.0%
Close Punctuation
ValueCountFrequency (%)
) 570
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25872
88.2%
Common 2564
 
8.7%
Latin 904
 
3.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 873
 
3.4%
사 850
 
3.3%
주 763
 
2.9%
이 650
 
2.5%
리 636
 
2.5%
지 614
 
2.4%
스 554
 
2.1%
점 502
 
1.9%
아 465
 
1.8%
구 438
 
1.7%
Other values (621) 19527
75.5%
Latin
ValueCountFrequency (%)
S 64
 
7.1%
K 58
 
6.4%
C 54
 
6.0%
T 47
 
5.2%
M 42
 
4.6%
o 40
 
4.4%
e 40
 
4.4%
I 34
 
3.8%
D 32
 
3.5%
G 28
 
3.1%
Other values (37) 465
51.4%
Common
ValueCountFrequency (%)
1218
47.5%
( 570
22.2%
) 570
22.2%
. 62
 
2.4%
& 32
 
1.2%
1 27
 
1.1%
- 22
 
0.9%
, 17
 
0.7%
2 11
 
0.4%
0 9
 
0.4%
Other values (11) 26
 
1.0%
Han
ValueCountFrequency (%)
美 1
16.7%
醫 1
16.7%
秀 1
16.7%
煐 1
16.7%
參 1
16.7%
內 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25598
87.2%
ASCII 3467
 
11.8%
None 274
 
0.9%
CJK 5
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1218
35.1%
( 570
16.4%
) 570
16.4%
S 64
 
1.8%
. 62
 
1.8%
K 58
 
1.7%
C 54
 
1.6%
T 47
 
1.4%
M 42
 
1.2%
o 40
 
1.2%
Other values (57) 742
21.4%
Hangul
ValueCountFrequency (%)
대 873
 
3.4%
사 850
 
3.3%
주 763
 
3.0%
이 650
 
2.5%
리 636
 
2.5%
지 614
 
2.4%
스 554
 
2.2%
점 502
 
2.0%
아 465
 
1.8%
구 438
 
1.7%
Other values (619) 19253
75.2%
None
ValueCountFrequency (%)
㈜ 273
99.6%
· 1
 
0.4%
CJK
ValueCountFrequency (%)
美 1
20.0%
醫 1
20.0%
秀 1
20.0%
煐 1
20.0%
內 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
參 1
100.0%

최종수정시점
Real number (ℝ)

Distinct3766
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.013796 × 1013
Minimum2.0070713 × 1013
Maximum2.0220627 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:07.612310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070713 × 1013
5-th percentile2.0080223 × 1013
Q12.0100316 × 1013
median2.0131129 × 1013
Q32.0171207 × 1013
95-th percentile2.0210526 × 1013
Maximum2.0220627 × 1013
Range1.4991401 × 1011
Interquartile range (IQR)7.0890963 × 1010

Descriptive statistics

Standard deviation4.3345222 × 1010
Coefficient of variation (CV)0.0021524137
Kurtosis-1.1901055
Mean2.013796 × 1013
Median Absolute Deviation (MAD)3.998095 × 1010
Skewness0.22684682
Sum8.047129 × 1016
Variance1.8788083 × 1021
MonotonicityNot monotonic
2023-12-11T04:20:07.858018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080223000000 231
 
5.8%
20131224113126 1
 
< 0.1%
20090218143334 1
 
< 0.1%
20090218145134 1
 
< 0.1%
20090218164540 1
 
< 0.1%
20090218152320 1
 
< 0.1%
20090218164321 1
 
< 0.1%
20090218164404 1
 
< 0.1%
20090218164046 1
 
< 0.1%
20090218155715 1
 
< 0.1%
Other values (3756) 3756
94.0%
ValueCountFrequency (%)
20070713133133 1
< 0.1%
20070713133352 1
< 0.1%
20070713133725 1
< 0.1%
20070713134047 1
< 0.1%
20070713134708 1
< 0.1%
20070713134946 1
< 0.1%
20070713135537 1
< 0.1%
20070713135809 1
< 0.1%
20070713140024 1
< 0.1%
20070713140316 1
< 0.1%
ValueCountFrequency (%)
20220627142046 1
< 0.1%
20220624171620 1
< 0.1%
20220624115628 1
< 0.1%
20220623100941 1
< 0.1%
20220621094844 1
< 0.1%
20220620110708 1
< 0.1%
20220617090717 1
< 0.1%
20220613205232 1
< 0.1%
20220610104740 1
< 0.1%
20220607161029 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
I
3389 
U
607 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3389
84.8%
U 607
 
15.2%

Length

2023-12-11T04:20:08.065073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:08.222193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3389
84.8%
u 607
 
15.2%

데이터갱신일자
Date

Distinct600
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-06-29 00:22:30
2023-12-11T04:20:08.385366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:20:08.616255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3996
Missing (%)100.0%
Memory size35.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2192
Distinct (%)76.1%
Missing1115
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean343359.13
Minimum320685.91
Maximum411802.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:08.811613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum320685.91
5-th percentile335505.82
Q1340081.74
median343660.14
Q3346296.84
95-th percentile352790.17
Maximum411802.02
Range91116.119
Interquartile range (IQR)6215.0916

Descriptive statistics

Standard deviation4983.611
Coefficient of variation (CV)0.014514281
Kurtosis14.58698
Mean343359.13
Median Absolute Deviation (MAD)3050.5304
Skewness1.1010129
Sum9.8921765 × 108
Variance24836379
MonotonicityNot monotonic
2023-12-11T04:20:09.058859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.259338 48
 
1.2%
344204.522469 10
 
0.3%
346139.253495 9
 
0.2%
346854.59615 8
 
0.2%
341316.891342 8
 
0.2%
346942.691097 8
 
0.2%
346708.407019 6
 
0.2%
339032.201973 6
 
0.2%
347450.230498 6
 
0.2%
344531.569541 6
 
0.2%
Other values (2182) 2766
69.2%
(Missing) 1115
27.9%
ValueCountFrequency (%)
320685.90565119 1
< 0.1%
327726.835884 1
< 0.1%
328475.302248 1
< 0.1%
328477.676905 1
< 0.1%
329646.16676 1
< 0.1%
329904.395692 1
< 0.1%
329988.610666 1
< 0.1%
329997.180892 1
< 0.1%
330025.0 2
0.1%
330036.774848 2
0.1%
ValueCountFrequency (%)
411802.024296292 1
< 0.1%
387406.067019474 1
< 0.1%
358087.168153 1
< 0.1%
356695.286566 1
< 0.1%
356565.367584 1
< 0.1%
356490.224801 1
< 0.1%
356411.615245 1
< 0.1%
356391.674186 1
< 0.1%
356325.339359 1
< 0.1%
356321.036355 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2195
Distinct (%)76.2%
Missing1115
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean263498.65
Minimum186676.31
Maximum292580.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:09.263864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186676.31
5-th percentile258010.84
Q1261501.53
median263542.27
Q3265179.38
95-th percentile271121.27
Maximum292580.46
Range105904.15
Interquartile range (IQR)3677.857

Descriptive statistics

Standard deviation4337.8899
Coefficient of variation (CV)0.016462665
Kurtosis38.050109
Mean263498.65
Median Absolute Deviation (MAD)1901.9373
Skewness-2.4099893
Sum7.591396 × 108
Variance18817289
MonotonicityNot monotonic
2023-12-11T04:20:09.463620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864 48
 
1.2%
265028.313376 10
 
0.3%
265833.573829 9
 
0.2%
264420.293469 8
 
0.2%
263332.034503 8
 
0.2%
263989.847737 8
 
0.2%
264492.860639 6
 
0.2%
262260.208463 6
 
0.2%
261501.525986 6
 
0.2%
263851.788464 6
 
0.2%
Other values (2185) 2766
69.2%
(Missing) 1115
27.9%
ValueCountFrequency (%)
186676.305414942 1
< 0.1%
239980.539373 1
< 0.1%
240473.571874 1
< 0.1%
240757.761547 1
< 0.1%
241006.164731 1
< 0.1%
244374.0 2
0.1%
244385.0 1
< 0.1%
244541.0 1
< 0.1%
244685.0 1
< 0.1%
244701.0 1
< 0.1%
ValueCountFrequency (%)
292580.459555189 1
 
< 0.1%
279782.45918713 1
 
< 0.1%
278029.090204 1
 
< 0.1%
277749.024029 4
0.1%
277673.246368 1
 
< 0.1%
276405.748917 1
 
< 0.1%
275858.200621 1
 
< 0.1%
274686.33002 1
 
< 0.1%
273974.140069 1
 
< 0.1%
273733.771246 1
 
< 0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct430
Distinct (%)38.6%
Missing2883
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean1.9363302 × 1010
Minimum0
Maximum8.740706 × 1012
Zeros328
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-11T04:20:10.041580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q32.464774 × 108
95-th percentile6.9335233 × 109
Maximum8.740706 × 1012
Range8.740706 × 1012
Interquartile range (IQR)2.464774 × 108

Descriptive statistics

Standard deviation2.7926858 × 1011
Coefficient of variation (CV)14.42257
Kurtosis860.60892
Mean1.9363302 × 1010
Median Absolute Deviation (MAD)50000000
Skewness28.014503
Sum2.1551355 × 1013
Variance7.799094 × 1022
MonotonicityNot monotonic
2023-12-11T04:20:10.268427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 328
 
8.2%
50000000 119
 
3.0%
100000000 62
 
1.6%
10000000 36
 
0.9%
30000000 23
 
0.6%
200000000 15
 
0.4%
20000000 15
 
0.4%
150000000 12
 
0.3%
300000000 11
 
0.3%
1000000 9
 
0.2%
Other values (420) 483
 
12.1%
(Missing) 2883
72.1%
ValueCountFrequency (%)
0 328
8.2%
1000 2
 
0.1%
1500 1
 
< 0.1%
50000 1
 
< 0.1%
510000 1
 
< 0.1%
553000 1
 
< 0.1%
1000000 9
 
0.2%
1760008 1
 
< 0.1%
2000000 2
 
0.1%
2443637 1
 
< 0.1%
ValueCountFrequency (%)
8740706000000 1
< 0.1%
2177355000000 1
< 0.1%
879125755425 1
< 0.1%
831000000000 2
0.1%
787576157000 1
< 0.1%
724994000000 1
< 0.1%
706808180000 1
< 0.1%
698727032000 1
< 0.1%
697285555116 1
< 0.1%
552004233250 1
< 0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct386
Distinct (%)34.9%
Missing2890
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean1.4132473 × 1010
Minimum-10000000
Maximum5.574533 × 1012
Zeros669
Zeros (%)16.7%
Negative1
Negative (%)< 0.1%
Memory size35.2 KiB
2023-12-11T04:20:10.460601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median0
Q392616542
95-th percentile3.8131092 × 109
Maximum5.574533 × 1012
Range5.574543 × 1012
Interquartile range (IQR)92616542

Descriptive statistics

Standard deviation1.8779611 × 1011
Coefficient of variation (CV)13.28827
Kurtosis709.06494
Mean1.4132473 × 1010
Median Absolute Deviation (MAD)0
Skewness24.952741
Sum1.5630515 × 1013
Variance3.5267379 × 1022
MonotonicityNot monotonic
2023-12-11T04:20:10.659529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
16.7%
10000000 9
 
0.2%
50000000 8
 
0.2%
20000000 7
 
0.2%
30000000 5
 
0.1%
100000000 5
 
0.1%
120000000 4
 
0.1%
15000000 4
 
0.1%
5000000 4
 
0.1%
3000000 4
 
0.1%
Other values (376) 387
 
9.7%
(Missing) 2890
72.3%
ValueCountFrequency (%)
-10000000 1
 
< 0.1%
0 669
16.7%
300 1
 
< 0.1%
13676 1
 
< 0.1%
21200 1
 
< 0.1%
56209 1
 
< 0.1%
233810 1
 
< 0.1%
440000 1
 
< 0.1%
480000 1
 
< 0.1%
551000 1
 
< 0.1%
ValueCountFrequency (%)
5574533000000 1
< 0.1%
2006281000000 1
< 0.1%
828408302940 1
< 0.1%
774400000000 1
< 0.1%
727755436000 1
< 0.1%
681816000000 1
< 0.1%
658676046699 1
< 0.1%
653977093000 1
< 0.1%
518446833899 1
< 0.1%
387657073000 1
< 0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct225
Distinct (%)20.3%
Missing2885
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean2.0097498 × 109
Minimum-1.8149666 × 108
Maximum6.48654 × 1011
Zeros302
Zeros (%)7.6%
Negative4
Negative (%)0.1%
Memory size35.2 KiB
2023-12-11T04:20:10.879524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8149666 × 108
5-th percentile0
Q10
median50000000
Q31.2972118 × 108
95-th percentile1.5587144 × 109
Maximum6.48654 × 1011
Range6.488355 × 1011
Interquartile range (IQR)1.2972118 × 108

Descriptive statistics

Standard deviation2.1999501 × 1010
Coefficient of variation (CV)10.946388
Kurtosis682.6647
Mean2.0097498 × 109
Median Absolute Deviation (MAD)50000000
Skewness24.22723
Sum2.2328321 × 1012
Variance4.8397805 × 1020
MonotonicityNot monotonic
2023-12-11T04:20:11.073336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 302
 
7.6%
50000000 218
 
5.5%
100000000 89
 
2.2%
10000000 53
 
1.3%
300000000 28
 
0.7%
30000000 28
 
0.7%
200000000 27
 
0.7%
20000000 23
 
0.6%
150000000 18
 
0.5%
500000000 16
 
0.4%
Other values (215) 309
 
7.7%
(Missing) 2885
72.2%
ValueCountFrequency (%)
-181496664 1
 
< 0.1%
-148107720 1
 
< 0.1%
-75042217 1
 
< 0.1%
-16037743 1
 
< 0.1%
0 302
7.6%
1000 2
 
0.1%
1500 1
 
< 0.1%
2000 1
 
< 0.1%
50000 1
 
< 0.1%
100000 1
 
< 0.1%
ValueCountFrequency (%)
648654000000 1
< 0.1%
191000576787 1
< 0.1%
171074000000 1
< 0.1%
131372235988 1
< 0.1%
77300000000 1
< 0.1%
63100000000 1
< 0.1%
59820721000 1
< 0.1%
59752513670 1
< 0.1%
50717452485 1
< 0.1%
44749939000 1
< 0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3996
Missing (%)100.0%
Memory size35.2 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01방문판매업08_26_02_P3410000199734100712320003219970121<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 255 2749<NA><NA>대구광역시 중구 남산*동 ****-*<NA><NA>체험학습교육원20131224113126I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
12방문판매업08_26_02_P3410000199634100712320000119960812<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 256 3853<NA><NA>대구광역시 중구 서문로*가 **-*<NA><NA>삼일사20151116213807I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23방문판매업08_26_02_P3410000199634100712320000619960902<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 427 8184<NA><NA>대구광역시 중구 대봉*동 **-**<NA><NA>KBS미디어신화문화사20131224113355I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
34방문판매업08_26_02_P3410000199734100712320005319970716<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 253 3191<NA><NA>대구광역시 중구 남산*동 ****-**<NA><NA>교육문화 신아사20131224113021I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
45방문판매업08_26_02_P3410000200334100712320026920030214<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 422 7778<NA><NA>대구광역시 중구 남산동 ***-*<NA><NA>I.L.C20151116205643I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
56방문판매업08_26_02_P3410000199734100712320005719970826<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 256 1012<NA><NA>대구광역시 중구 향촌 ** 대보백화점 ***<NA><NA>푸른건강식품20191113145800U2019-11-15 02:40:00.0<NA><NA><NA><NA><NA><NA><NA>
67방문판매업08_26_02_P3410000200234100712320021420020607<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 422 4690<NA><NA>대구광역시 중구 동산동 ***<NA><NA>㈜하와20151116211501I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
78방문판매업08_26_02_P3410000200234100712320019620020311<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 253 1172<NA><NA>대구광역시 중구 남산동 *** 계산타워 **층<NA><NA>창업대리점20151116211934I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
89방문판매업08_26_02_P3410000199734100712320004419970317<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 565 6484<NA><NA>대구광역시 중구 달성동 ***-**<NA><NA>라인정밀(주)20151116213040I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
910방문판매업08_26_02_P3410000200234100712320020820020508<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>053 424 1392<NA><NA>대구광역시 중구 대봉동 ***번지 *호 한국타일도기전시장대구광역시 중구 명덕로 ***, 한국타일도기전시장 (대봉동)41962㈜영천양잠농업협동조합 대구지점20191113145721U2019-11-15 02:40:00.0<NA>344120.602064263000.715598<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
39863987방문판매업08_26_02_P3480000201634803262320000220160401<NA>3폐업3폐업처리20190419<NA><NA><NA>053-617-2030<NA><NA><NA>대구광역시 달성군 논공읍 논공로 ***-*42978남양우유달성가정대리점20190419104623U2019-04-21 02:40:00.0<NA>329646.16676248451.395119<NA><NA><NA><NA>
39873988방문판매업08_26_02_P3480000201634803262320000320160610<NA>3폐업3폐업처리20201012<NA><NA><NA>053-721-8979<NA><NA><NA>대구광역시 달성군 화원읍 비슬로 ****-*42953천궁의료기 화원점20201012134857U2020-10-14 02:40:00.0<NA>335688.73125257157.80461<NA><NA><NA><NA>
39883989방문판매업08_26_02_P3480000201734803262320000320170306<NA>3폐업3폐업처리20171016<NA><NA><NA>939-8230<NA><NA>대구광역시 달성군 화원읍 구라리 ****번지 **호대구광역시 달성군 화원읍 비슬로 ****, *, *층42952주식회사 엘레자코지 화원지점20171016111027I2018-08-31 23:59:59.0<NA>336425.150882257568.819678601259839277345085323914754<NA>
39893990방문판매업08_26_02_P3480000201734803582320000220170616<NA>3폐업3폐업처리20180518<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 테크노북로*길 **, ***동 ****호 (대구테크노폴리스엘에이치천년나무*단지)42995네이처팜20181231162949U2019-01-02 02:40:00.0<NA>331126.0244385.0<NA><NA><NA><NA>
39903991방문판매업08_26_02_P3480000201734803582320000320170626<NA>3폐업3폐업처리20170926<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 테크노북로*길 **, ***동 ****호 (대구테크노폴리스남해오네뜨*차)42995BM쇼핑몰20170926171709I2018-08-31 23:59:59.0<NA>331742.0245059.0<NA><NA><NA><NA>
39913992방문판매업08_26_02_P3480000201734803582320000420170627<NA>3폐업3폐업처리20181205<NA><NA><NA>053-585-5421<NA><NA><NA>대구광역시 달성군 다사읍 대실역북로*길 ***-*42911남양우유성서가정대리점20181207092221U2018-12-09 02:40:00.0<NA>332510.151801263620.689736<NA><NA><NA><NA>
39923993방문판매업08_26_02_P3480000201734803582320000720170802<NA>3폐업3폐업처리20200624<NA><NA><NA>053-637-0445<NA><NA><NA>대구광역시 달성군 화원읍 비슬로***길 **42962연세우유 화원대리점20200624112119U2020-06-26 02:40:00.0<NA>335478.327171256756.884168<NA><NA><NA><NA>
39933994방문판매업08_26_02_P3480000201734803582320000820170905<NA>3폐업3폐업처리20180430<NA><NA><NA>053-585-5709<NA><NA><NA>대구광역시 달성군 다사읍 죽곡*길 *-*, *층 ***호 (그린주차빌딩)42918동인비 신다사점20181214141716U2018-12-16 02:40:00.0<NA>332227.145212262912.161541<NA><NA><NA><NA>
39943995방문판매업08_26_02_P3480000201734803582320000920170906<NA>3폐업3폐업처리20180918<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포면 비슬로***길 **, ***동 ****호 (미진이지비아)42971다원유통20180919160032U2018-09-19 23:59:59.0<NA>332459.0255934.0<NA><NA><NA><NA>
39953996방문판매업08_26_02_P3480000201734803582320001220171011<NA>3폐업3폐업처리20220414<NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 기세리 ***번지 *호 보국사대구광역시 달성군 옥포읍 옥포로 ***, 보국사42972보국사20220420155342U2022-04-22 02:40:00.0<NA>333667.83868254363.423432000<NA>