Overview

Dataset statistics

Number of variables31
Number of observations570
Missing cells5081
Missing cells (%)28.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory148.8 KiB
Average record size in memory267.2 B

Variable types

Numeric10
Categorical10
Unsupported7
Text3
DateTime1

Dataset

Description22년10월_6270000_대구광역시_08_26_05_P_후원방문판매업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096917&dataSetDetailId=DDI_0000096964&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 570 (100.0%) missing valuesMissing
폐업일자 has 319 (56.0%) missing valuesMissing
휴업시작일자 has 570 (100.0%) missing valuesMissing
휴업종료일자 has 570 (100.0%) missing valuesMissing
재개업일자 has 570 (100.0%) missing valuesMissing
소재지전화 has 350 (61.4%) missing valuesMissing
소재지면적 has 570 (100.0%) missing valuesMissing
소재지우편번호 has 178 (31.2%) missing valuesMissing
도로명우편번호 has 570 (100.0%) missing valuesMissing
업태구분명 has 570 (100.0%) missing valuesMissing
좌표정보(X) has 61 (10.7%) missing valuesMissing
좌표정보(Y) has 61 (10.7%) missing valuesMissing
사업자등록번호 has 122 (21.4%) 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 20:11:10.059986
Analysis finished2023-12-10 20:11:11.254992
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct570
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.5
Minimum1
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:11.409599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.45
Q1143.25
median285.5
Q3427.75
95-th percentile541.55
Maximum570
Range569
Interquartile range (IQR)284.5

Descriptive statistics

Standard deviation164.6891
Coefficient of variation (CV)0.57684449
Kurtosis-1.2
Mean285.5
Median Absolute Deviation (MAD)142.5
Skewness0
Sum162735
Variance27122.5
MonotonicityStrictly increasing
2023-12-11T05:11:11.621117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
384 1
 
0.2%
378 1
 
0.2%
379 1
 
0.2%
380 1
 
0.2%
381 1
 
0.2%
382 1
 
0.2%
383 1
 
0.2%
385 1
 
0.2%
376 1
 
0.2%
Other values (560) 560
98.2%
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 (%)
570 1
0.2%
569 1
0.2%
568 1
0.2%
567 1
0.2%
566 1
0.2%
565 1
0.2%
564 1
0.2%
563 1
0.2%
562 1
0.2%
561 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
후원방문판매업체
570 

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 570
100.0%

Length

2023-12-11T05:11:11.869668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:12.026397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업체 570
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
08_26_05_P
570 

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 570
100.0%

Length

2023-12-11T05:11:12.184988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:12.352370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_05_p 570
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
6270000
570 

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 570
100.0%

Length

2023-12-11T05:11:12.551430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:12.703290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 570
100.0%

관리번호
Real number (ℝ)

Distinct10
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0182568 × 1019
Minimum2.013627 × 1019
Maximum2.022627 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:12.872295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.013627 × 1019
5-th percentile2.013627 × 1019
Q12.013627 × 1019
median2.020627 × 1019
Q32.021627 × 1019
95-th percentile2.022627 × 1019
Maximum2.022627 × 1019
Range9 × 1016
Interquartile range (IQR)8 × 1016

Descriptive statistics

Standard deviation3.755463 × 1016
Coefficient of variation (CV)0.0018607459
Kurtosis-1.7402719
Mean2.0182568 × 1019
Median Absolute Deviation (MAD)2 × 1016
Skewness-0.20878889
Sum1.1504064 × 1022
Variance1.4103503 × 1033
MonotonicityNot monotonic
2023-12-11T05:11:13.056538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.0136270000301e+19 188
33.0%
2.0216270000301e+19 128
22.5%
2.0226270000301e+19 93
16.3%
2.0206270000301e+19 66
 
11.6%
2.0176270000301e+19 31
 
5.4%
2.0146270000301e+19 19
 
3.3%
2.0166270000301e+19 14
 
2.5%
2.0156270000301e+19 11
 
1.9%
2.0186270000301e+19 11
 
1.9%
2.0196270000301e+19 9
 
1.6%
ValueCountFrequency (%)
2.0136270000301e+19 188
33.0%
2.0146270000301e+19 19
 
3.3%
2.0156270000301e+19 11
 
1.9%
2.0166270000301e+19 14
 
2.5%
2.0176270000301e+19 31
 
5.4%
2.0186270000301e+19 11
 
1.9%
2.0196270000301e+19 9
 
1.6%
2.0206270000301e+19 66
 
11.6%
2.0216270000301e+19 128
22.5%
2.0226270000301e+19 93
16.3%
ValueCountFrequency (%)
2.0226270000301e+19 93
16.3%
2.0216270000301e+19 128
22.5%
2.0206270000301e+19 66
 
11.6%
2.0196270000301e+19 9
 
1.6%
2.0186270000301e+19 11
 
1.9%
2.0176270000301e+19 31
 
5.4%
2.0166270000301e+19 14
 
2.5%
2.0156270000301e+19 11
 
1.9%
2.0146270000301e+19 19
 
3.3%
2.0136270000301e+19 188
33.0%

인허가일자
Real number (ℝ)

Distinct148
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20176885
Minimum20130618
Maximum20221025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:13.339624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130618
5-th percentile20130715
Q120130812
median20200302
Q320210820
95-th percentile20220712
Maximum20221025
Range90407
Interquartile range (IQR)80008

Descriptive statistics

Standard deviation37640.263
Coefficient of variation (CV)0.0018655141
Kurtosis-1.7477776
Mean20176885
Median Absolute Deviation (MAD)20509
Skewness-0.2067727
Sum1.1500825 × 1010
Variance1.4167894 × 109
MonotonicityNot monotonic
2023-12-11T05:11:13.674832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130808 108
 
18.9%
20130819 32
 
5.6%
20130715 21
 
3.7%
20211217 16
 
2.8%
20220216 15
 
2.6%
20210419 14
 
2.5%
20130812 13
 
2.3%
20211018 13
 
2.3%
20201223 12
 
2.1%
20210223 12
 
2.1%
Other values (138) 314
55.1%
ValueCountFrequency (%)
20130618 10
 
1.8%
20130705 1
 
0.2%
20130715 21
 
3.7%
20130716 1
 
0.2%
20130807 1
 
0.2%
20130808 108
18.9%
20130812 13
 
2.3%
20130819 32
 
5.6%
20130822 3
 
0.5%
20130826 1
 
0.2%
ValueCountFrequency (%)
20221025 1
 
0.2%
20221017 5
0.9%
20220928 1
 
0.2%
20220916 1
 
0.2%
20220915 5
0.9%
20220914 1
 
0.2%
20220902 1
 
0.2%
20220811 11
1.9%
20220729 1
 
0.2%
20220725 1
 
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing570
Missing (%)100.0%
Memory size5.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
1
285 
3
278 
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 285
50.0%
3 278
48.8%
4 7
 
1.2%

Length

2023-12-11T05:11:13.902381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:14.090378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 285
50.0%
3 278
48.8%
4 7
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
영업/정상
285 
폐업
278 
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length9.5
Mean length3.6473684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 285
50.0%
폐업 278
48.8%
취소/말소/만료/정지/중지 7
 
1.2%

Length

2023-12-11T05:11:14.284922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:14.465774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 285
50.0%
폐업 278
48.8%
취소/말소/만료/정지/중지 7
 
1.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
4
278 
BBBB
153 
2
130 
6
 
7
1
 
2

Length

Max length4
Median length1
Mean length1.8052632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 278
48.8%
BBBB 153
26.8%
2 130
22.8%
6 7
 
1.2%
1 2
 
0.4%

Length

2023-12-11T05:11:14.651504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:14.842022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 278
48.8%
bbbb 153
26.8%
2 130
22.8%
6 7
 
1.2%
1 2
 
0.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
영업
285 
폐업
278 
직권말소
 
7

Length

Max length4
Median length2
Mean length2.0245614
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 285
50.0%
폐업 278
48.8%
직권말소 7
 
1.2%

Length

2023-12-11T05:11:15.049083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:15.226651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 285
50.0%
폐업 278
48.8%
직권말소 7
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct187
Distinct (%)74.5%
Missing319
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean20186788
Minimum20131029
Maximum20221027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:15.468086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131029
5-th percentile20140416
Q120160716
median20191031
Q320210901
95-th percentile20220860
Maximum20221027
Range89998
Interquartile range (IQR)50185

Descriptive statistics

Standard deviation27863.479
Coefficient of variation (CV)0.0013802829
Kurtosis-1.3168385
Mean20186788
Median Absolute Deviation (MAD)20604
Skewness-0.32508859
Sum5.0668838 × 109
Variance7.7637345 × 108
MonotonicityNot monotonic
2023-12-11T05:11:15.703744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210901 6
 
1.1%
20211001 6
 
1.1%
20150227 5
 
0.9%
20221006 5
 
0.9%
20220317 4
 
0.7%
20140228 4
 
0.7%
20220801 4
 
0.7%
20211201 4
 
0.7%
20220110 3
 
0.5%
20210701 3
 
0.5%
Other values (177) 207
36.3%
(Missing) 319
56.0%
ValueCountFrequency (%)
20131029 3
0.5%
20140219 2
0.4%
20140227 1
 
0.2%
20140228 4
0.7%
20140305 1
 
0.2%
20140312 1
 
0.2%
20140313 1
 
0.2%
20140519 1
 
0.2%
20140520 2
0.4%
20140624 1
 
0.2%
ValueCountFrequency (%)
20221027 1
 
0.2%
20221025 1
 
0.2%
20221019 1
 
0.2%
20221006 5
0.9%
20220928 1
 
0.2%
20220926 1
 
0.2%
20220914 1
 
0.2%
20220902 2
 
0.4%
20220818 1
 
0.2%
20220811 1
 
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing570
Missing (%)100.0%
Memory size5.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing570
Missing (%)100.0%
Memory size5.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing570
Missing (%)100.0%
Memory size5.1 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct195
Distinct (%)88.6%
Missing350
Missing (%)61.4%
Infinite0
Infinite (%)0.0%
Mean5.7057362 × 108
Minimum15661678
Maximum5.3160096 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:15.976279image/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
Maximum5.3160096 × 109
Range5.3003479 × 109
Interquartile range (IQR)2399974

Descriptive statistics

Standard deviation4.6081208 × 108
Coefficient of variation (CV)0.80762948
Kurtosis102.54555
Mean5.7057362 × 108
Median Absolute Deviation (MAD)1210986
Skewness10.032056
Sum1.255262 × 1011
Variance2.1234777 × 1017
MonotonicityNot monotonic
2023-12-11T05:11:16.191500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
539570755 3
 
0.5%
539853966 2
 
0.4%
536222236 2
 
0.4%
536336336 2
 
0.4%
535526914 2
 
0.4%
533521475 2
 
0.4%
535855232 2
 
0.4%
536518819 2
 
0.4%
539544747 2
 
0.4%
537433324 2
 
0.4%
Other values (185) 199
34.9%
(Missing) 350
61.4%
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 (%)
5316009574 1
0.2%
5315779559 1
0.2%
553563302 1
0.2%
539853966 2
0.4%
539819818 1
0.2%
539810488 1
0.2%
539659114 1
0.2%
539658668 1
0.2%
539648288 2
0.4%
539640078 1
0.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing570
Missing (%)100.0%
Memory size5.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct311
Distinct (%)79.3%
Missing178
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean140022.27
Minimum41003
Maximum711837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:16.457624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41003
5-th percentile41066.1
Q141582.5
median42207
Q342822.5
95-th percentile704928.6
Maximum711837
Range670834
Interquartile range (IQR)1240

Descriptive statistics

Standard deviation235382.24
Coefficient of variation (CV)1.6810342
Kurtosis1.9729766
Mean140022.27
Median Absolute Deviation (MAD)621
Skewness1.9906665
Sum54888731
Variance5.5404797 × 1010
MonotonicityNot monotonic
2023-12-11T05:11:16.717823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42922 5
 
0.9%
42783 4
 
0.7%
41003 4
 
0.7%
704821 3
 
0.5%
41593 3
 
0.5%
42633 3
 
0.5%
41940 3
 
0.5%
41064 3
 
0.5%
42259 3
 
0.5%
43008 3
 
0.5%
Other values (301) 358
62.8%
(Missing) 178
31.2%
ValueCountFrequency (%)
41003 4
0.7%
41009 1
 
0.2%
41024 1
 
0.2%
41026 2
0.4%
41034 1
 
0.2%
41036 1
 
0.2%
41041 1
 
0.2%
41043 1
 
0.2%
41048 1
 
0.2%
41058 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

Distinct351
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T05:11:17.166618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length25.152632
Min length1

Characters and Unicode

Total characters14337
Distinct characters279
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

Unique297 ?
Unique (%)52.1%

Sample

1st row대구광역시 중구 남산동 ***번지 *호
2nd row대구광역시 남구 대명동 ****번지 **호
3rd row
4th row
5th row
ValueCountFrequency (%)
호 652
23.4%
대구광역시 425
15.2%
번지 423
15.2%
동 168
 
6.0%
달서구 90
 
3.2%
수성구 86
 
3.1%
동구 79
 
2.8%
북구 58
 
2.1%
달성군 38
 
1.4%
중구 30
 
1.1%
Other values (314) 742
26.6%
2023-12-11T05:11:18.096500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3258
22.7%
3081
21.5%
구 844
 
5.9%
동 674
 
4.7%
호 670
 
4.7%
대 499
 
3.5%
지 467
 
3.3%
시 458
 
3.2%
역 437
 
3.0%
광 428
 
3.0%
Other values (269) 3521
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7967
55.6%
Other Punctuation 3262
22.8%
Space Separator 3081
 
21.5%
Uppercase Letter 9
 
0.1%
Dash Punctuation 8
 
0.1%
Lowercase Letter 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 844
 
10.6%
동 674
 
8.5%
호 670
 
8.4%
대 499
 
6.3%
지 467
 
5.9%
시 458
 
5.7%
역 437
 
5.5%
광 428
 
5.4%
번 423
 
5.3%
성 205
 
2.6%
Other values (255) 2862
35.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
S 2
22.2%
G 1
 
11.1%
L 1
 
11.1%
H 1
 
11.1%
D 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 3258
99.9%
, 3
 
0.1%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3081
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7967
55.6%
Common 6357
44.3%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 844
 
10.6%
동 674
 
8.5%
호 670
 
8.4%
대 499
 
6.3%
지 467
 
5.9%
시 458
 
5.7%
역 437
 
5.5%
광 428
 
5.4%
번 423
 
5.3%
성 205
 
2.6%
Other values (255) 2862
35.9%
Common
ValueCountFrequency (%)
* 3258
51.3%
3081
48.5%
- 8
 
0.1%
( 3
 
< 0.1%
) 3
 
< 0.1%
, 3
 
< 0.1%
· 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 4
30.8%
B 3
23.1%
S 2
15.4%
G 1
 
7.7%
L 1
 
7.7%
H 1
 
7.7%
D 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7967
55.6%
ASCII 6369
44.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3258
51.2%
3081
48.4%
- 8
 
0.1%
e 4
 
0.1%
( 3
 
< 0.1%
B 3
 
< 0.1%
) 3
 
< 0.1%
, 3
 
< 0.1%
S 2
 
< 0.1%
G 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 844
 
10.6%
동 674
 
8.5%
호 670
 
8.4%
대 499
 
6.3%
지 467
 
5.9%
시 458
 
5.7%
역 437
 
5.5%
광 428
 
5.4%
번 423
 
5.3%
성 205
 
2.6%
Other values (255) 2862
35.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

Distinct515
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T05:11:18.559344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length33.233333
Min length20

Characters and Unicode

Total characters18943
Distinct characters306
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

Unique474 ?
Unique (%)83.2%

Sample

1st row대구광역시 중구 중앙대로 ***, *층 (남산동)
2nd row대구광역시 남구 대명남로 ** (대명동)
3rd row대구광역시 북구 칠곡중앙대로 **-**, *층 (태전동)
4th row대구광역시 수성구 달구벌대로 ****, *층 (신매동)
5th row대구광역시 남구 대명로**길 *-*, *층 (대명동)
ValueCountFrequency (%)
대구광역시 570
 
15.9%
554
 
15.4%
동 172
 
4.8%
층 161
 
4.5%
달서구 130
 
3.6%
수성구 121
 
3.4%
호 120
 
3.3%
동구 102
 
2.8%
북구 75
 
2.1%
달구벌대로 41
 
1.1%
Other values (664) 1541
43.0%
2023-12-11T05:11:19.297996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3464
18.3%
3017
15.9%
구 1226
 
6.5%
동 919
 
4.9%
대 791
 
4.2%
시 606
 
3.2%
, 606
 
3.2%
역 585
 
3.1%
광 575
 
3.0%
로 573
 
3.0%
Other values (296) 6581
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10641
56.2%
Other Punctuation 4071
 
21.5%
Space Separator 3017
 
15.9%
Open Punctuation 558
 
2.9%
Close Punctuation 558
 
2.9%
Dash Punctuation 85
 
0.4%
Uppercase Letter 9
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1226
 
11.5%
동 919
 
8.6%
대 791
 
7.4%
시 606
 
5.7%
역 585
 
5.5%
광 575
 
5.4%
로 573
 
5.4%
호 293
 
2.8%
성 286
 
2.7%
달 238
 
2.2%
Other values (283) 4549
42.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
44.4%
D 2
22.2%
L 1
 
11.1%
H 1
 
11.1%
S 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 3464
85.1%
, 606
 
14.9%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3017
100.0%
Open Punctuation
ValueCountFrequency (%)
( 558
100.0%
Close Punctuation
ValueCountFrequency (%)
) 558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10641
56.2%
Common 8289
43.8%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1226
 
11.5%
동 919
 
8.6%
대 791
 
7.4%
시 606
 
5.7%
역 585
 
5.5%
광 575
 
5.4%
로 573
 
5.4%
호 293
 
2.8%
성 286
 
2.7%
달 238
 
2.2%
Other values (283) 4549
42.7%
Common
ValueCountFrequency (%)
* 3464
41.8%
3017
36.4%
, 606
 
7.3%
( 558
 
6.7%
) 558
 
6.7%
- 85
 
1.0%
· 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 4
30.8%
e 4
30.8%
D 2
15.4%
L 1
 
7.7%
H 1
 
7.7%
S 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10641
56.2%
ASCII 8301
43.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3464
41.7%
3017
36.3%
, 606
 
7.3%
( 558
 
6.7%
) 558
 
6.7%
- 85
 
1.0%
B 4
 
< 0.1%
e 4
 
< 0.1%
D 2
 
< 0.1%
L 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 1226
 
11.5%
동 919
 
8.6%
대 791
 
7.4%
시 606
 
5.7%
역 585
 
5.5%
광 575
 
5.4%
로 573
 
5.4%
호 293
 
2.8%
성 286
 
2.7%
달 238
 
2.2%
Other values (283) 4549
42.7%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing570
Missing (%)100.0%
Memory size5.1 KiB

사업장명
Text

Distinct555
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T05:11:20.053725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.0421053
Min length2

Characters and Unicode

Total characters4584
Distinct characters381
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

Unique545 ?
Unique (%)95.6%

Sample

1st row한국화장품 반월대리점
2nd row한국화장품(주) 남부대리점
3rd row마임 칠곡 태전지사
4th row유니베라 시지고산대리점
5th row유니베라 달서대리점
ValueCountFrequency (%)
인셀덤 109
 
11.4%
마임 38
 
4.0%
아모레 31
 
3.2%
오휘 26
 
2.7%
유니베라 16
 
1.7%
주식회사 15
 
1.6%
김정문알로에 14
 
1.5%
특약점 13
 
1.4%
아모레퍼시픽 10
 
1.0%
대구 9
 
0.9%
Other values (579) 679
70.7%
2023-12-11T05:11:20.708057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
408
 
8.9%
인 206
 
4.5%
셀 193
 
4.2%
덤 191
 
4.2%
점 169
 
3.7%
대 167
 
3.6%
지 138
 
3.0%
리 131
 
2.9%
사 116
 
2.5%
구 101
 
2.2%
Other values (371) 2764
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3886
84.8%
Space Separator 408
 
8.9%
Uppercase Letter 124
 
2.7%
Lowercase Letter 76
 
1.7%
Open Punctuation 33
 
0.7%
Close Punctuation 33
 
0.7%
Other Punctuation 12
 
0.3%
Decimal Number 7
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 206
 
5.3%
셀 193
 
5.0%
덤 191
 
4.9%
점 169
 
4.3%
대 167
 
4.3%
지 138
 
3.6%
리 131
 
3.4%
사 116
 
3.0%
구 101
 
2.6%
이 72
 
1.9%
Other values (313) 2402
61.8%
Uppercase Letter
ValueCountFrequency (%)
E 12
 
9.7%
L 9
 
7.3%
A 9
 
7.3%
O 8
 
6.5%
I 7
 
5.6%
C 7
 
5.6%
M 7
 
5.6%
N 6
 
4.8%
J 6
 
4.8%
R 6
 
4.8%
Other values (13) 47
37.9%
Lowercase Letter
ValueCountFrequency (%)
i 9
11.8%
e 7
 
9.2%
o 7
 
9.2%
r 6
 
7.9%
s 6
 
7.9%
t 5
 
6.6%
n 5
 
6.6%
d 4
 
5.3%
u 4
 
5.3%
y 3
 
3.9%
Other values (12) 20
26.3%
Other Punctuation
ValueCountFrequency (%)
. 5
41.7%
, 3
25.0%
& 2
 
16.7%
# 1
 
8.3%
: 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
8 1
 
14.3%
2 1
 
14.3%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3881
84.7%
Common 498
 
10.9%
Latin 200
 
4.4%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 206
 
5.3%
셀 193
 
5.0%
덤 191
 
4.9%
점 169
 
4.4%
대 167
 
4.3%
지 138
 
3.6%
리 131
 
3.4%
사 116
 
3.0%
구 101
 
2.6%
이 72
 
1.9%
Other values (308) 2397
61.8%
Latin
ValueCountFrequency (%)
E 12
 
6.0%
L 9
 
4.5%
A 9
 
4.5%
i 9
 
4.5%
O 8
 
4.0%
I 7
 
3.5%
C 7
 
3.5%
e 7
 
3.5%
o 7
 
3.5%
M 7
 
3.5%
Other values (35) 118
59.0%
Common
ValueCountFrequency (%)
408
81.9%
( 33
 
6.6%
) 33
 
6.6%
- 5
 
1.0%
. 5
 
1.0%
1 4
 
0.8%
, 3
 
0.6%
& 2
 
0.4%
8 1
 
0.2%
2 1
 
0.2%
Other values (3) 3
 
0.6%
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 3881
84.7%
ASCII 698
 
15.2%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
408
58.5%
( 33
 
4.7%
) 33
 
4.7%
E 12
 
1.7%
L 9
 
1.3%
A 9
 
1.3%
i 9
 
1.3%
O 8
 
1.1%
I 7
 
1.0%
C 7
 
1.0%
Other values (48) 163
 
23.4%
Hangul
ValueCountFrequency (%)
인 206
 
5.3%
셀 193
 
5.0%
덤 191
 
4.9%
점 169
 
4.4%
대 167
 
4.3%
지 138
 
3.6%
리 131
 
3.4%
사 116
 
3.0%
구 101
 
2.6%
이 72
 
1.9%
Other values (308) 2397
61.8%
CJK
ValueCountFrequency (%)
娥 1
20.0%
銑 1
20.0%
峯 1
20.0%
女 1
20.0%
美 1
20.0%

최종수정시점
Real number (ℝ)

Distinct271
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0202355 × 1013
Minimum2.0131029 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:20.964037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0131029 × 1013
5-th percentile2.0150158 × 1013
Q12.0191132 × 1013
median2.0211018 × 1013
Q32.0220682 × 1013
95-th percentile2.0221018 × 1013
Maximum2.0221031 × 1013
Range9.0002 × 1010
Interquartile range (IQR)2.955 × 1010

Descriptive statistics

Standard deviation2.4976005 × 1010
Coefficient of variation (CV)0.0012362917
Kurtosis0.36806114
Mean2.0202355 × 1013
Median Absolute Deviation (MAD)9.7865 × 109
Skewness-1.3131978
Sum1.1515343 × 1016
Variance6.2380082 × 1020
MonotonicityNot monotonic
2023-12-11T05:11:21.218751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221018000000 33
 
5.8%
20221031000000 22
 
3.9%
20220718000000 21
 
3.7%
20211217000000 12
 
2.1%
20220610000000 10
 
1.8%
20220811000000 10
 
1.8%
20210720000000 9
 
1.6%
20220114000000 9
 
1.6%
20220216000000 9
 
1.6%
20220311000000 8
 
1.4%
Other values (261) 427
74.9%
ValueCountFrequency (%)
20131029000000 2
0.4%
20140219000000 2
0.4%
20140227000000 1
 
0.2%
20140228000000 4
0.7%
20140305000000 1
 
0.2%
20140312000000 1
 
0.2%
20140313000000 1
 
0.2%
20140519000000 1
 
0.2%
20140520000000 2
0.4%
20140717000000 1
 
0.2%
ValueCountFrequency (%)
20221031000000 22
3.9%
20221027000000 2
 
0.4%
20221025000000 3
 
0.5%
20221020000000 1
 
0.2%
20221018000000 33
5.8%
20221017000000 5
 
0.9%
20221011000000 5
 
0.9%
20220928000000 2
 
0.4%
20220926000000 2
 
0.4%
20220919000000 1
 
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
U
299 
I
271 

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 299
52.5%
I 271
47.5%

Length

2023-12-11T05:11:21.422925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:21.640024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 299
52.5%
i 271
47.5%

데이터갱신일자
Date

Distinct191
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 02:40:00
2023-12-11T05:11:21.846038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:11:22.079197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing570
Missing (%)100.0%
Memory size5.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct444
Distinct (%)87.2%
Missing61
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean343553.75
Minimum328728
Maximum358200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:22.323168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328728
5-th percentile335357.42
Q1339726.01
median343722.34
Q3346785.25
95-th percentile353989.04
Maximum358200
Range29472
Interquartile range (IQR)7059.2359

Descriptive statistics

Standard deviation5429.6401
Coefficient of variation (CV)0.01580434
Kurtosis-0.047666521
Mean343553.75
Median Absolute Deviation (MAD)3817.0236
Skewness0.20940482
Sum1.7486886 × 108
Variance29480991
MonotonicityNot monotonic
2023-12-11T05:11:22.585796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.259338 4
 
0.7%
333588.0 3
 
0.5%
339180.112254 3
 
0.5%
350650.801737 3
 
0.5%
339854.76811 3
 
0.5%
340142.053784 3
 
0.5%
336549.97252 3
 
0.5%
339899.759247 3
 
0.5%
339825.647172 3
 
0.5%
345833.933916 3
 
0.5%
Other values (434) 478
83.9%
(Missing) 61
 
10.7%
ValueCountFrequency (%)
328728.0 1
0.2%
330025.0 1
0.2%
330451.539067 1
0.2%
330472.771478 1
0.2%
331126.0 1
0.2%
331174.23034 1
0.2%
331695.325802 1
0.2%
332074.47094 1
0.2%
332558.0 1
0.2%
332565.0 1
0.2%
ValueCountFrequency (%)
358200.0 1
0.2%
357559.0 2
0.4%
356310.917659 1
0.2%
355857.357218 1
0.2%
355799.360799 1
0.2%
355684.783405 2
0.4%
355681.445461 2
0.4%
355664.598169 1
0.2%
355581.134258 1
0.2%
355541.818806 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct444
Distinct (%)87.2%
Missing61
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean263224.23
Minimum240385
Maximum274562.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:22.811983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240385
5-th percentile257610.67
Q1261215.33
median263299.57
Q3265308
95-th percentile270329.12
Maximum274562.78
Range34177.777
Interquartile range (IQR)4092.6689

Descriptive statistics

Standard deviation4027.7588
Coefficient of variation (CV)0.015301626
Kurtosis5.2548545
Mean263224.23
Median Absolute Deviation (MAD)2031.7052
Skewness-0.90255275
Sum1.3398113 × 108
Variance16222841
MonotonicityNot monotonic
2023-12-11T05:11:23.134271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864 4
 
0.7%
265019.0 3
 
0.5%
271678.347299 3
 
0.5%
265683.768049 3
 
0.5%
259712.725878 3
 
0.5%
260153.337927 3
 
0.5%
257005.946257 3
 
0.5%
262694.927283 3
 
0.5%
259446.201377 3
 
0.5%
265804.01386 3
 
0.5%
Other values (434) 478
83.9%
(Missing) 61
 
10.7%
ValueCountFrequency (%)
240385.0 1
0.2%
244385.0 1
0.2%
244504.0 1
0.2%
245080.0 1
0.2%
245132.142998 1
0.2%
248716.764731 1
0.2%
248737.801438 1
0.2%
252862.334188 1
0.2%
254144.0 1
0.2%
255641.350864 1
0.2%
ValueCountFrequency (%)
274562.776925 1
0.2%
273383.0 1
0.2%
273228.289745 1
0.2%
272775.300038 2
0.4%
272724.122976 1
0.2%
272680.634722 1
0.2%
272636.919043 1
0.2%
272411.512877 1
0.2%
272245.219312 1
0.2%
271916.735702 1
0.2%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
후원방문판매업
570 

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 570
100.0%

Length

2023-12-11T05:11:23.413159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:23.572903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업 570
100.0%

자본금의규모
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
0
570 

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 (%)
0 570
100.0%

Length

2023-12-11T05:11:23.722294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:23.864744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 570
100.0%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct442
Distinct (%)98.7%
Missing122
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean4.9888321 × 109
Minimum1.0218657 × 109
Maximum8.9714015 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2023-12-11T05:11:24.107866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0218657 × 109
5-th percentile1.7591318 × 109
Q13.6882768 × 109
median5.0321282 × 109
Q36.2126849 × 109
95-th percentile8.3954013 × 109
Maximum8.9714015 × 109
Range7.9495358 × 109
Interquartile range (IQR)2.5244081 × 109

Descriptive statistics

Standard deviation1.9239795 × 109
Coefficient of variation (CV)0.38565729
Kurtosis-0.52271754
Mean4.9888321 × 109
Median Absolute Deviation (MAD)1.2645996 × 109
Skewness0.02603998
Sum2.2349968 × 1012
Variance3.701697 × 1018
MonotonicityNot monotonic
2023-12-11T05:11:24.377569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2560701085 2
 
0.4%
5032345484 2
 
0.4%
2496800376 2
 
0.4%
5042356932 2
 
0.4%
3130564768 2
 
0.4%
5901801550 2
 
0.4%
5041678826 1
 
0.2%
2385300692 1
 
0.2%
6122615058 1
 
0.2%
5838802568 1
 
0.2%
Other values (432) 432
75.8%
(Missing) 122
 
21.4%
ValueCountFrequency (%)
1021865702 1
0.2%
1022464612 1
0.2%
1092575311 1
0.2%
1095350725 1
0.2%
1095602336 1
0.2%
1103703483 1
0.2%
1204890166 1
0.2%
1253100977 1
0.2%
1360410052 1
0.2%
1372301241 1
0.2%
ValueCountFrequency (%)
8971401453 1
0.2%
8937400306 1
0.2%
8933201080 1
0.2%
8874200464 1
0.2%
8860201902 1
0.2%
8850501953 1
0.2%
8842601028 1
0.2%
8771801118 1
0.2%
8762701422 1
0.2%
8762101677 1
0.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
01후원방문판매업체08_26_05_P62700002014627000030100001620130618<NA>1영업/정상1영업<NA><NA><NA><NA>534284136<NA>700831대구광역시 중구 남산동 ***번지 *호대구광역시 중구 중앙대로 ***, *층 (남산동)<NA>한국화장품 반월대리점20140924000000I2018-08-31 23:59:59.0<NA>343798.804367263691.65569후원방문판매업05030777083
12후원방문판매업체08_26_05_P62700002013627000030100018520130618<NA>1영업/정상1영업<NA><NA><NA><NA>536270916<NA>705813대구광역시 남구 대명동 ****번지 **호대구광역시 남구 대명남로 ** (대명동)<NA>한국화장품(주) 남부대리점20140924000000I2018-08-31 23:59:59.0<NA>340949.409792260459.921422후원방문판매업05142285169
23후원방문판매업체08_26_05_P62700002013627000030100007620130808<NA>1영업/정상2영업<NA><NA><NA><NA>533118557<NA><NA>대구광역시 북구 칠곡중앙대로 **-**, *층 (태전동)<NA>마임 칠곡 태전지사20170908000000I2018-08-31 23:59:59.0<NA><NA><NA>후원방문판매업0<NA>
34후원방문판매업체08_26_05_P62700002013627000030100008920130808<NA>1영업/정상2영업<NA><NA><NA><NA>537951237<NA><NA>대구광역시 수성구 달구벌대로 ****, *층 (신매동)<NA>유니베라 시지고산대리점20220610000000U2022-06-12 02:40:00.0<NA>355019.243239261011.881029후원방문판매업05030959468
45후원방문판매업체08_26_05_P62700002013627000030100009120130808<NA>1영업/정상2영업<NA><NA><NA><NA>536549822<NA><NA>대구광역시 남구 대명로**길 *-*, *층 (대명동)<NA>유니베라 달서대리점20220610000000U2022-06-12 02:40:00.0<NA>341269.617386260962.921863후원방문판매업05140178663
56후원방문판매업체08_26_05_P62700002013627000030100009220130808<NA>1영업/정상2영업<NA><NA><NA><NA>539542526<NA><NA>대구광역시 달서구 용산로 ***, *층 (감삼동)<NA>유니베라 대구자연대리점20220610000000U2022-06-12 02:40:00.0<NA>338227.753031261995.735438후원방문판매업05020862435
67후원방문판매업체08_26_05_P62700002013627000030100015820130819<NA>1영업/정상2영업<NA><NA><NA><NA>533419966<NA>702856대구광역시 북구 침산동 ***번지 대명빌딩B ***호대구광역시 북구 침산남로 ***-*, ***호 (침산동,대명빌딩B)<NA>오휘북구지사20221018000000U2022-10-20 02:40:00.0<NA>343955.841626266351.900565후원방문판매업05041920908
78후원방문판매업체08_26_05_P62700002013627000030100004320130808<NA>1영업/정상2영업<NA><NA><NA><NA>533228971<NA>41443대구광역시 북구 관음동 ****번지 **호 관음빌딩대구광역시 북구 칠곡중앙대로 ***, 관음빌딩 *층(관음동)<NA>아모레 퍼시픽 방판칠곡특약점20220718000000U2022-07-20 02:40:00.0<NA>339682.122681271783.808524후원방문판매업05042839433
89후원방문판매업체08_26_05_P62700002013627000030100004520130808<NA>1영업/정상2영업<NA><NA><NA><NA>537928353<NA>42268대구광역시 수성구 매호동 ****번지 **호대구광역시 수성구 고산로 ***-**(매호동)<NA>아모레 퍼시픽 미래 특약점20220718000000U2022-07-20 02:40:00.0<NA>353881.314164261575.20856후원방문판매업05041065746
910후원방문판매업체08_26_05_P62700002013627000030100016020130819<NA>1영업/정상2영업<NA><NA><NA><NA>536211030<NA>42783대구광역시 달서구 월성동 ****번지 *호 *동 ***호대구광역시 달서구 월서로 **-*, *동 ***호(월성동)<NA>오휘 달서지사20221018000000U2022-10-20 02:40:00.0<NA><NA><NA>후원방문판매업05141933128
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
560561후원방문판매업체08_26_05_P62700002021627000030100000620210122<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42802대구광역시 달서구 상인동 ****번지 *호 상인화성파크드림*단지아파트 ****동 ****호대구광역시 달서구 송현로*길 **, ****동 ****호 (상인동, 상인화성파크드림*단지아파트)<NA>오로라 인셀덤20210122000000I2021-01-24 00:23:04.0<NA>339825.647172259446.201377후원방문판매업02890801627
561562후원방문판매업체08_26_05_P62700002021627000030100000720210122<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42930대구광역시 달성군 다사읍 세천리 ****번지 *호 현대썬앤빌 ***동 ****호대구광역시 달성군 다사읍 세천로 ***-**, ***동 ****호 (현대썬앤빌)<NA>인셀덤(리베)20210122000000I2021-01-24 00:23:04.0<NA>333651.0264780.0후원방문판매업07670501882
562563후원방문판매업체08_26_05_P62700002022627000030100005320220613<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42093대구광역시 수성구 범어동 ***번지 **호 ***호대구광역시 수성구 범어로**길 **, ***호(범어동)<NA>더블유인셀덤20220613000000I2022-06-15 00:22:30.0<NA>347750.583246262919.442942후원방문판매업06581401862
563564후원방문판매업체08_26_05_P62700002022627000030100005420220613<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41851대구광역시 서구 내당동 ***번지 *호 ***호대구광역시 서구 평리로**길 *, ***호(내당동)<NA>인셀덤진20220613000000I2022-06-15 00:22:30.0<NA>340268.393973263594.80784후원방문판매업06732601452
564565후원방문판매업체08_26_05_P62700002022627000030100005520220613<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41599대구광역시 북구 사수동 ***번지 *호 금호서한이다음 ***동 ****호대구광역시 북구 한강로 **, ***동 ****호(사수동, 금호서한이다음)<NA>에이블인셀덤20220613000000I2022-06-15 00:22:30.0<NA>336423.0267588.0후원방문판매업06473501057
565566후원방문판매업체08_26_05_P62700002022627000030100005620220613<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)인셀덤20220613000000I2022-06-15 00:22:30.0<NA>347863.260016264803.206065후원방문판매업02563700991
566567후원방문판매업체08_26_05_P62700002022627000030100005820220613<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42706대구광역시 달서구 파호동 **번지 *호대구광역시 달서구 호산로**길 **(파호동)<NA>인셀덤 주홍20220613000000I2022-06-15 00:22:30.0<NA>333255.789207262316.616295후원방문판매업07282201472
567568후원방문판매업체08_26_05_P62700002022627000030100004820220516<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42082대구광역시 수성구 범어동 ***번지 *호 장원아파트 ***동 ***호대구광역시 수성구 청호로 ***, ***동 ***호(범어동, 장원아파트)<NA>제이제이20220516000000I2022-05-18 00:22:31.0<NA>347979.81887262472.171798후원방문판매업04012116016
568569후원방문판매업체08_26_05_P62700002022627000030100004920220516<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42155대구광역시 수성구 중동 ***번지 **호 ***호대구광역시 수성구 청수로*길 **-**, ***호(중동)<NA>리치덤20220516000000I2022-05-18 00:22:31.0<NA>345767.0261386.0후원방문판매업07173100999
569570후원방문판매업체08_26_05_P62700002022627000030100005020220516<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>42020대구광역시 수성구 범어동 ****번지 *호 범어숲화성파크드림S ***동 ****호대구광역시 수성구 동대구로 ***, ***동 ****호(범어동, 범어숲 화성파크드림S)<NA>진인셀덤20220516000000I2022-05-18 00:22:31.0<NA>346968.034691263912.825583후원방문판매업08762701422