Overview

Dataset statistics

Number of variables31
Number of observations577
Missing cells5078
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.6 KiB
Average record size in memory267.2 B

Variable types

Numeric10
Categorical10
Unsupported7
Text3
DateTime1

Dataset

Description22년11월_6270000_대구광역시_08_26_05_P_후원방문판매업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097156&dataSetDetailId=DDI_0000097202&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 577 (100.0%) missing valuesMissing
폐업일자 has 317 (54.9%) missing valuesMissing
휴업시작일자 has 577 (100.0%) missing valuesMissing
휴업종료일자 has 577 (100.0%) missing valuesMissing
재개업일자 has 577 (100.0%) missing valuesMissing
소재지전화 has 357 (61.9%) missing valuesMissing
소재지면적 has 577 (100.0%) missing valuesMissing
소재지우편번호 has 177 (30.7%) missing valuesMissing
도로명우편번호 has 577 (100.0%) missing valuesMissing
업태구분명 has 577 (100.0%) missing valuesMissing
좌표정보(X) has 33 (5.7%) missing valuesMissing
좌표정보(Y) has 33 (5.7%) missing valuesMissing
사업자등록번호 has 122 (21.1%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:39:39.058160
Analysis finished2023-12-10 19:39:40.034822
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct577
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289
Minimum1
Maximum577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:40.125224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.8
Q1145
median289
Q3433
95-th percentile548.2
Maximum577
Range576
Interquartile range (IQR)288

Descriptive statistics

Standard deviation166.70983
Coefficient of variation (CV)0.57685062
Kurtosis-1.2
Mean289
Median Absolute Deviation (MAD)144
Skewness0
Sum166753
Variance27792.167
MonotonicityStrictly increasing
2023-12-11T04:39:40.337577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
434 1
 
0.2%
382 1
 
0.2%
383 1
 
0.2%
384 1
 
0.2%
385 1
 
0.2%
386 1
 
0.2%
387 1
 
0.2%
388 1
 
0.2%
389 1
 
0.2%
Other values (567) 567
98.3%
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 (%)
577 1
0.2%
576 1
0.2%
575 1
0.2%
574 1
0.2%
573 1
0.2%
572 1
0.2%
571 1
0.2%
570 1
0.2%
569 1
0.2%
568 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
후원방문판매업체
577 

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 577
100.0%

Length

2023-12-11T04:39:40.531853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:40.659214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업체 577
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
08_26_05_P
577 

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 577
100.0%

Length

2023-12-11T04:39:40.788717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:40.904195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_05_p 577
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
6270000
577 

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 577
100.0%

Length

2023-12-11T04:39:41.025663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:41.143910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 577
100.0%

관리번호
Real number (ℝ)

Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0183098 × 1019
Minimum2.013627 × 1019
Maximum2.022627 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:41.257250image/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 deviation3.7631621 × 1016
Coefficient of variation (CV)0.0018645116
Kurtosis-1.7319346
Mean2.0183098 × 1019
Median Absolute Deviation (MAD)2 × 1016
Skewness-0.22829562
Sum1.1645648 × 1022
Variance1.4161389 × 1033
MonotonicityNot monotonic
2023-12-11T04:39:41.386142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.0136270000301e+19 188
32.6%
2.0216270000301e+19 128
22.2%
2.0226270000301e+19 100
17.3%
2.0206270000301e+19 66
 
11.4%
2.0176270000301e+19 31
 
5.4%
2.0146270000301e+19 19
 
3.3%
2.0166270000301e+19 14
 
2.4%
2.0156270000301e+19 11
 
1.9%
2.0186270000301e+19 11
 
1.9%
2.0196270000301e+19 9
 
1.6%
ValueCountFrequency (%)
2.0136270000301e+19 188
32.6%
2.0146270000301e+19 19
 
3.3%
2.0156270000301e+19 11
 
1.9%
2.0166270000301e+19 14
 
2.4%
2.0176270000301e+19 31
 
5.4%
2.0186270000301e+19 11
 
1.9%
2.0196270000301e+19 9
 
1.6%
2.0206270000301e+19 66
 
11.4%
2.0216270000301e+19 128
22.2%
2.0226270000301e+19 100
17.3%
ValueCountFrequency (%)
2.0226270000301e+19 100
17.3%
2.0216270000301e+19 128
22.2%
2.0206270000301e+19 66
 
11.4%
2.0196270000301e+19 9
 
1.6%
2.0186270000301e+19 11
 
1.9%
2.0176270000301e+19 31
 
5.4%
2.0166270000301e+19 14
 
2.4%
2.0156270000301e+19 11
 
1.9%
2.0146270000301e+19 19
 
3.3%
2.0136270000301e+19 188
32.6%

인허가일자
Real number (ℝ)

Distinct151
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20177422
Minimum20130618
Maximum20221129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:41.520933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130618
5-th percentile20130715
Q120130812
median20200302
Q320210917
95-th percentile20220811
Maximum20221129
Range90511
Interquartile range (IQR)80105

Descriptive statistics

Standard deviation37723.38
Coefficient of variation (CV)0.0018695838
Kurtosis-1.7392337
Mean20177422
Median Absolute Deviation (MAD)20509
Skewness-0.22607302
Sum1.1642372 × 1010
Variance1.4230534 × 109
MonotonicityNot monotonic
2023-12-11T04:39:41.675096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130808 108
 
18.7%
20130819 32
 
5.5%
20130715 21
 
3.6%
20211217 16
 
2.8%
20220216 15
 
2.6%
20210419 14
 
2.4%
20130812 13
 
2.3%
20211018 13
 
2.3%
20210524 12
 
2.1%
20210223 12
 
2.1%
Other values (141) 321
55.6%
ValueCountFrequency (%)
20130618 10
 
1.7%
20130705 1
 
0.2%
20130715 21
 
3.6%
20130716 1
 
0.2%
20130807 1
 
0.2%
20130808 108
18.7%
20130812 13
 
2.3%
20130819 32
 
5.5%
20130822 3
 
0.5%
20130826 1
 
0.2%
ValueCountFrequency (%)
20221129 1
 
0.2%
20221110 5
0.9%
20221101 1
 
0.2%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing577
Missing (%)100.0%
Memory size5.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
3
287 
1
283 
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 (%)
3 287
49.7%
1 283
49.0%
4 7
 
1.2%

Length

2023-12-11T04:39:41.813730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:41.920140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 287
49.7%
1 283
49.0%
4 7
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
폐업
287 
영업/정상
283 
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length5
Mean length3.6169844
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 287
49.7%
영업/정상 283
49.0%
취소/말소/만료/정지/중지 7
 
1.2%

Length

2023-12-11T04:39:42.323376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:42.456929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 287
49.7%
영업/정상 283
49.0%
취소/말소/만료/정지/중지 7
 
1.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
4
287 
BBBB
149 
2
132 
6
 
7
1
 
2

Length

Max length4
Median length1
Mean length1.7746967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 287
49.7%
BBBB 149
25.8%
2 132
22.9%
6 7
 
1.2%
1 2
 
0.3%

Length

2023-12-11T04:39:42.581152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:42.724845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 287
49.7%
bbbb 149
25.8%
2 132
22.9%
6 7
 
1.2%
1 2
 
0.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
폐업
287 
영업
283 
직권말소
 
7

Length

Max length4
Median length2
Mean length2.0242634
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 287
49.7%
영업 283
49.0%
직권말소 7
 
1.2%

Length

2023-12-11T04:39:42.865249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:43.010334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 287
49.7%
영업 283
49.0%
직권말소 7
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)72.7%
Missing317
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean20187976
Minimum20131029
Maximum20221115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:43.171682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131029
5-th percentile20140509
Q120160925
median20200104
Q320211001
95-th percentile20221006
Maximum20221115
Range90086
Interquartile range (IQR)50076.25

Descriptive statistics

Standard deviation28087.377
Coefficient of variation (CV)0.0013912924
Kurtosis-1.2970629
Mean20187976
Median Absolute Deviation (MAD)20502.5
Skewness-0.37033235
Sum5.2488737 × 109
Variance7.8890074 × 108
MonotonicityNot monotonic
2023-12-11T04:39:43.347936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221102 7
 
1.2%
20211001 6
 
1.0%
20210901 6
 
1.0%
20150227 5
 
0.9%
20221006 5
 
0.9%
20211201 4
 
0.7%
20220317 4
 
0.7%
20140228 4
 
0.7%
20220801 4
 
0.7%
20210728 3
 
0.5%
Other values (179) 212
36.7%
(Missing) 317
54.9%
ValueCountFrequency (%)
20131029 3
0.5%
20140219 2
0.3%
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
0.3%
20140624 1
 
0.2%
ValueCountFrequency (%)
20221115 2
 
0.3%
20221102 7
1.2%
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
 
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing577
Missing (%)100.0%
Memory size5.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing577
Missing (%)100.0%
Memory size5.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing577
Missing (%)100.0%
Memory size5.2 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct195
Distinct (%)88.6%
Missing357
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean5.7057362 × 108
Minimum15661678
Maximum5.3160096 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:43.496650image/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
2023-12-11T04:39:43.676801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
539570755 3
 
0.5%
539853966 2
 
0.3%
536222236 2
 
0.3%
536336336 2
 
0.3%
535526914 2
 
0.3%
533521475 2
 
0.3%
535855232 2
 
0.3%
536518819 2
 
0.3%
539544747 2
 
0.3%
537433324 2
 
0.3%
Other values (185) 199
34.5%
(Missing) 357
61.9%
ValueCountFrequency (%)
15661678 1
0.2%
16443134 1
0.2%
16447645 1
0.2%
25557600 1
0.2%
532152200 1
0.2%
532154575 1
0.2%
532195660 1
0.2%
532522488 1
0.2%
532553042 1
0.2%
532564203 1
0.2%
ValueCountFrequency (%)
5316009574 1
0.2%
5315779559 1
0.2%
553563302 1
0.2%
539853966 2
0.3%
539819818 1
0.2%
539810488 1
0.2%
539659114 1
0.2%
539658668 1
0.2%
539648288 2
0.3%
539640078 1
0.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing577
Missing (%)100.0%
Memory size5.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct316
Distinct (%)79.0%
Missing177
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean138067.76
Minimum41003
Maximum711837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:43.818134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41003
5-th percentile41066.9
Q141582.5
median42207
Q342830.75
95-th percentile704917.4
Maximum711837
Range670834
Interquartile range (IQR)1248.25

Descriptive statistics

Standard deviation233412.91
Coefficient of variation (CV)1.6905678
Kurtosis2.1077242
Mean138067.76
Median Absolute Deviation (MAD)626
Skewness2.0241104
Sum55227105
Variance5.4481589 × 1010
MonotonicityNot monotonic
2023-12-11T04:39:43.994851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42922 5
 
0.9%
41003 4
 
0.7%
42783 4
 
0.7%
42633 3
 
0.5%
704821 3
 
0.5%
41064 3
 
0.5%
42910 3
 
0.5%
42965 3
 
0.5%
41940 3
 
0.5%
41593 3
 
0.5%
Other values (306) 366
63.4%
(Missing) 177
30.7%
ValueCountFrequency (%)
41003 4
0.7%
41009 1
 
0.2%
41024 1
 
0.2%
41026 2
0.3%
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

Distinct357
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T04:39:44.279213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length25.358752
Min length1

Characters and Unicode

Total characters14632
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

Unique302 ?
Unique (%)52.3%

Sample

1st row대구광역시 중구 남산동 ***번지 *호
2nd row대구광역시 남구 대명동 ****번지 **호
3rd row
4th row
5th row
ValueCountFrequency (%)
호 666
23.4%
대구광역시 433
15.2%
번지 431
15.1%
동 172
 
6.0%
달서구 90
 
3.2%
수성구 88
 
3.1%
동구 81
 
2.8%
북구 58
 
2.0%
달성군 42
 
1.5%
중구 30
 
1.1%
Other values (317) 759
26.6%
2023-12-11T04:39:44.832047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3327
22.7%
3137
21.4%
구 856
 
5.9%
동 683
 
4.7%
호 683
 
4.7%
대 507
 
3.5%
지 476
 
3.3%
시 467
 
3.2%
역 445
 
3.0%
광 436
 
3.0%
Other values (269) 3615
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8136
55.6%
Other Punctuation 3332
22.8%
Space Separator 3137
 
21.4%
Uppercase Letter 9
 
0.1%
Dash Punctuation 8
 
0.1%
Lowercase Letter 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 856
 
10.5%
동 683
 
8.4%
호 683
 
8.4%
대 507
 
6.2%
지 476
 
5.9%
시 467
 
5.7%
역 445
 
5.5%
광 436
 
5.4%
번 431
 
5.3%
성 215
 
2.6%
Other values (255) 2937
36.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
S 2
22.2%
D 1
 
11.1%
H 1
 
11.1%
L 1
 
11.1%
G 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 3327
99.8%
, 3
 
0.1%
· 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8136
55.6%
Common 6483
44.3%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 856
 
10.5%
동 683
 
8.4%
호 683
 
8.4%
대 507
 
6.2%
지 476
 
5.9%
시 467
 
5.7%
역 445
 
5.5%
광 436
 
5.4%
번 431
 
5.3%
성 215
 
2.6%
Other values (255) 2937
36.1%
Common
ValueCountFrequency (%)
* 3327
51.3%
3137
48.4%
- 8
 
0.1%
) 3
 
< 0.1%
( 3
 
< 0.1%
, 3
 
< 0.1%
· 2
 
< 0.1%
Latin
ValueCountFrequency (%)
e 4
30.8%
B 3
23.1%
S 2
15.4%
D 1
 
7.7%
H 1
 
7.7%
L 1
 
7.7%
G 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8136
55.6%
ASCII 6494
44.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3327
51.2%
3137
48.3%
- 8
 
0.1%
e 4
 
0.1%
B 3
 
< 0.1%
) 3
 
< 0.1%
( 3
 
< 0.1%
, 3
 
< 0.1%
S 2
 
< 0.1%
D 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 856
 
10.5%
동 683
 
8.4%
호 683
 
8.4%
대 507
 
6.2%
지 476
 
5.9%
시 467
 
5.7%
역 445
 
5.5%
광 436
 
5.4%
번 431
 
5.3%
성 215
 
2.6%
Other values (255) 2937
36.1%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

Distinct522
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T04:39:45.164754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length33.331023
Min length20

Characters and Unicode

Total characters19232
Distinct characters307
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

Unique481 ?
Unique (%)83.4%

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 577
 
15.9%
561
 
15.4%
동 176
 
4.8%
층 160
 
4.4%
달서구 130
 
3.6%
수성구 123
 
3.4%
호 122
 
3.4%
동구 104
 
2.9%
북구 74
 
2.0%
달성군 45
 
1.2%
Other values (671) 1561
43.0%
2023-12-11T04:39:45.753749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3529
18.3%
3056
15.9%
구 1237
 
6.4%
동 927
 
4.8%
대 801
 
4.2%
, 616
 
3.2%
시 614
 
3.2%
역 593
 
3.1%
광 582
 
3.0%
로 579
 
3.0%
Other values (297) 6698
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10803
56.2%
Other Punctuation 4147
 
21.6%
Space Separator 3056
 
15.9%
Close Punctuation 563
 
2.9%
Open Punctuation 563
 
2.9%
Dash Punctuation 87
 
0.5%
Uppercase Letter 9
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1237
 
11.5%
동 927
 
8.6%
대 801
 
7.4%
시 614
 
5.7%
역 593
 
5.5%
광 582
 
5.4%
로 579
 
5.4%
성 297
 
2.7%
호 297
 
2.7%
달 243
 
2.2%
Other values (284) 4633
42.9%
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 (%)
* 3529
85.1%
, 616
 
14.9%
· 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 563
100.0%
Open Punctuation
ValueCountFrequency (%)
( 563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10803
56.2%
Common 8416
43.8%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1237
 
11.5%
동 927
 
8.6%
대 801
 
7.4%
시 614
 
5.7%
역 593
 
5.5%
광 582
 
5.4%
로 579
 
5.4%
성 297
 
2.7%
호 297
 
2.7%
달 243
 
2.2%
Other values (284) 4633
42.9%
Common
ValueCountFrequency (%)
* 3529
41.9%
3056
36.3%
, 616
 
7.3%
) 563
 
6.7%
( 563
 
6.7%
- 87
 
1.0%
· 2
 
< 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 10803
56.2%
ASCII 8427
43.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3529
41.9%
3056
36.3%
, 616
 
7.3%
) 563
 
6.7%
( 563
 
6.7%
- 87
 
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 1237
 
11.5%
동 927
 
8.6%
대 801
 
7.4%
시 614
 
5.7%
역 593
 
5.5%
광 582
 
5.4%
로 579
 
5.4%
성 297
 
2.7%
호 297
 
2.7%
달 243
 
2.2%
Other values (284) 4633
42.9%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing577
Missing (%)100.0%
Memory size5.2 KiB

사업장명
Text

Distinct562
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T04:39:46.094175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.0381282
Min length2

Characters and Unicode

Total characters4638
Distinct characters385
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

Unique552 ?
Unique (%)95.7%

Sample

1st row한국화장품 반월대리점
2nd row한국화장품(주) 남부대리점
3rd row마임 칠곡 태전지사
4th row유니베라시지고산
5th row유니베라 달서대리점
ValueCountFrequency (%)
인셀덤 109
 
11.3%
마임 38
 
3.9%
아모레 31
 
3.2%
오휘 25
 
2.6%
주식회사 15
 
1.5%
유니베라 15
 
1.5%
김정문알로에 14
 
1.4%
특약점 13
 
1.3%
아모레퍼시픽 10
 
1.0%
대구 9
 
0.9%
Other values (587) 689
71.2%
2023-12-11T04:39:46.574754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
409
 
8.8%
인 211
 
4.5%
셀 198
 
4.3%
덤 196
 
4.2%
점 171
 
3.7%
대 166
 
3.6%
지 140
 
3.0%
리 131
 
2.8%
사 116
 
2.5%
구 101
 
2.2%
Other values (375) 2799
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3929
84.7%
Space Separator 409
 
8.8%
Uppercase Letter 130
 
2.8%
Lowercase Letter 76
 
1.6%
Close Punctuation 35
 
0.8%
Open Punctuation 35
 
0.8%
Other Punctuation 12
 
0.3%
Decimal Number 7
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 211
 
5.4%
셀 198
 
5.0%
덤 196
 
5.0%
점 171
 
4.4%
대 166
 
4.2%
지 140
 
3.6%
리 131
 
3.3%
사 116
 
3.0%
구 101
 
2.6%
이 74
 
1.9%
Other values (316) 2425
61.7%
Uppercase Letter
ValueCountFrequency (%)
E 12
 
9.2%
L 10
 
7.7%
A 9
 
6.9%
O 8
 
6.2%
I 7
 
5.4%
M 7
 
5.4%
C 7
 
5.4%
N 7
 
5.4%
S 6
 
4.6%
R 6
 
4.6%
Other values (14) 51
39.2%
Lowercase Letter
ValueCountFrequency (%)
i 9
11.8%
e 7
 
9.2%
o 7
 
9.2%
s 6
 
7.9%
r 6
 
7.9%
t 5
 
6.6%
n 5
 
6.6%
d 4
 
5.3%
u 4
 
5.3%
l 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%
2 1
 
14.3%
8 1
 
14.3%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
409
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3924
84.6%
Common 503
 
10.8%
Latin 206
 
4.4%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 211
 
5.4%
셀 198
 
5.0%
덤 196
 
5.0%
점 171
 
4.4%
대 166
 
4.2%
지 140
 
3.6%
리 131
 
3.3%
사 116
 
3.0%
구 101
 
2.6%
이 74
 
1.9%
Other values (311) 2420
61.7%
Latin
ValueCountFrequency (%)
E 12
 
5.8%
L 10
 
4.9%
i 9
 
4.4%
A 9
 
4.4%
O 8
 
3.9%
I 7
 
3.4%
M 7
 
3.4%
C 7
 
3.4%
e 7
 
3.4%
o 7
 
3.4%
Other values (36) 123
59.7%
Common
ValueCountFrequency (%)
409
81.3%
) 35
 
7.0%
( 35
 
7.0%
. 5
 
1.0%
- 5
 
1.0%
1 4
 
0.8%
, 3
 
0.6%
& 2
 
0.4%
2 1
 
0.2%
# 1
 
0.2%
Other values (3) 3
 
0.6%
Han
ValueCountFrequency (%)
娥 1
20.0%
銑 1
20.0%
女 1
20.0%
美 1
20.0%
峯 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3924
84.6%
ASCII 709
 
15.3%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
409
57.7%
) 35
 
4.9%
( 35
 
4.9%
E 12
 
1.7%
L 10
 
1.4%
i 9
 
1.3%
A 9
 
1.3%
O 8
 
1.1%
I 7
 
1.0%
M 7
 
1.0%
Other values (49) 168
23.7%
Hangul
ValueCountFrequency (%)
인 211
 
5.4%
셀 198
 
5.0%
덤 196
 
5.0%
점 171
 
4.4%
대 166
 
4.2%
지 140
 
3.6%
리 131
 
3.3%
사 116
 
3.0%
구 101
 
2.6%
이 74
 
1.9%
Other values (311) 2420
61.7%
CJK
ValueCountFrequency (%)
娥 1
20.0%
銑 1
20.0%
女 1
20.0%
美 1
20.0%
峯 1
20.0%

최종수정시점
Real number (ℝ)

Distinct278
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0202734 × 1013
Minimum2.0131029 × 1013
Maximum2.0221129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:46.768947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0131029 × 1013
5-th percentile2.0150187 × 1013
Q12.0191213 × 1013
median2.0211116 × 1013
Q32.0220718 × 1013
95-th percentile2.0221031 × 1013
Maximum2.0221129 × 1013
Range9.01 × 1010
Interquartile range (IQR)2.9505 × 1010

Descriptive statistics

Standard deviation2.4990137 × 1010
Coefficient of variation (CV)0.0012369681
Kurtosis0.40746062
Mean2.0202734 × 1013
Median Absolute Deviation (MAD)9.789 × 109
Skewness-1.3296407
Sum1.1656977 × 1016
Variance6.2450694 × 1020
MonotonicityNot monotonic
2023-12-11T04:39:46.976059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221018000000 33
 
5.7%
20221031000000 22
 
3.8%
20220718000000 21
 
3.6%
20211217000000 12
 
2.1%
20220811000000 10
 
1.7%
20220610000000 9
 
1.6%
20220216000000 9
 
1.6%
20220114000000 8
 
1.4%
20220311000000 8
 
1.4%
20210720000000 8
 
1.4%
Other values (268) 437
75.7%
ValueCountFrequency (%)
20131029000000 2
0.3%
20140219000000 2
0.3%
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
0.3%
20140717000000 1
 
0.2%
ValueCountFrequency (%)
20221129000000 2
 
0.3%
20221121000000 1
 
0.2%
20221116000000 1
 
0.2%
20221115000000 3
 
0.5%
20221110000000 5
 
0.9%
20221104000000 1
 
0.2%
20221103000000 7
 
1.2%
20221101000000 1
 
0.2%
20221031000000 22
3.8%
20221027000000 2
 
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
U
309 
I
268 

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 309
53.6%
I 268
46.4%

Length

2023-12-11T04:39:47.127320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:47.238939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 309
53.6%
i 268
46.4%

데이터갱신일자
Date

Distinct199
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-01 02:40:00
2023-12-11T04:39:47.356199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:39:47.550478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing577
Missing (%)100.0%
Memory size5.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct470
Distinct (%)86.4%
Missing33
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean343355.05
Minimum328477.68
Maximum358228.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:47.691984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328477.68
5-th percentile334092.84
Q1339554.2
median343667.95
Q3346753.62
95-th percentile353965.23
Maximum358228.21
Range29750.528
Interquartile range (IQR)7199.4179

Descriptive statistics

Standard deviation5569.9624
Coefficient of variation (CV)0.016222165
Kurtosis-0.031278824
Mean343355.05
Median Absolute Deviation (MAD)3813.1827
Skewness0.085168456
Sum1.8678515 × 108
Variance31024481
MonotonicityNot monotonic
2023-12-11T04:39:47.832759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 4
 
0.7%
350650.801737191 3
 
0.5%
346998.541502739 3
 
0.5%
333711.315024122 3
 
0.5%
340142.053784192 3
 
0.5%
345833.933915848 3
 
0.5%
339605.590462419 3
 
0.5%
339180.112254152 3
 
0.5%
339854.768109867 3
 
0.5%
336549.972520333 3
 
0.5%
Other values (460) 513
88.9%
(Missing) 33
 
5.7%
ValueCountFrequency (%)
328477.67690472 1
0.2%
328501.384301002 1
0.2%
328527.912947992 1
0.2%
330010.624861749 1
0.2%
330451.539067325 1
0.2%
330472.771477673 1
0.2%
330959.027803839 1
0.2%
331059.888730067 1
0.2%
331550.638998204 1
0.2%
331708.620280976 1
0.2%
ValueCountFrequency (%)
358228.205268963 1
0.2%
357672.591920251 2
0.3%
356310.91765893 1
0.2%
355857.357218327 1
0.2%
355799.360798998 1
0.2%
355684.783405175 2
0.3%
355681.445460699 2
0.3%
355581.13425832 1
0.2%
355541.818806022 1
0.2%
355482.435571958 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct470
Distinct (%)86.4%
Missing33
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean263159.82
Minimum240473.57
Maximum274562.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:47.969615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240473.57
5-th percentile257280.79
Q1261211.25
median263261.36
Q3265308.29
95-th percentile270638.36
Maximum274562.78
Range34089.205
Interquartile range (IQR)4097.0397

Descriptive statistics

Standard deviation4361.1235
Coefficient of variation (CV)0.016572148
Kurtosis5.9017893
Mean263159.82
Median Absolute Deviation (MAD)2054.1904
Skewness-1.1691004
Sum1.4315894 × 108
Variance19019398
MonotonicityNot monotonic
2023-12-11T04:39:48.139303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 4
 
0.7%
265683.768049151 3
 
0.5%
272977.359673376 3
 
0.5%
265039.230724853 3
 
0.5%
260153.337926548 3
 
0.5%
265804.013859946 3
 
0.5%
259057.41404909 3
 
0.5%
271678.34729922 3
 
0.5%
259712.725877816 3
 
0.5%
257005.946256741 3
 
0.5%
Other values (460) 513
88.9%
(Missing) 33
 
5.7%
ValueCountFrequency (%)
240473.571874223 1
0.2%
240739.938522968 1
0.2%
241221.080539637 1
0.2%
244375.367003823 1
0.2%
244381.844596492 1
0.2%
244991.019802011 1
0.2%
245132.142997977 1
0.2%
245205.414325096 1
0.2%
248346.509346913 1
0.2%
248737.801437545 1
0.2%
ValueCountFrequency (%)
274562.776924699 1
 
0.2%
273388.974480597 1
 
0.2%
273228.289744921 1
 
0.2%
272977.359673376 3
0.5%
272775.300037511 2
0.3%
272724.12297613 1
 
0.2%
272680.63472206 1
 
0.2%
272636.919043005 1
 
0.2%
272582.376755534 1
 
0.2%
272578.061178813 1
 
0.2%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
후원방문판매업
577 

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 577
100.0%

Length

2023-12-11T04:39:48.327540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:48.434784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업 577
100.0%

자본금의규모
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
0
577 

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 (%)
0 577
100.0%

Length

2023-12-11T04:39:48.532347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:39:48.692683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 577
100.0%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct449
Distinct (%)98.7%
Missing122
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean4.9926894 × 109
Minimum1.0218657 × 109
Maximum8.9714015 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T04:39:48.868722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0218657 × 109
5-th percentile1.749261 × 109
Q13.6957518 × 109
median5.0321169 × 109
Q36.2131236 × 109
95-th percentile8.4445914 × 109
Maximum8.9714015 × 109
Range7.9495358 × 109
Interquartile range (IQR)2.5173718 × 109

Descriptive statistics

Standard deviation1.9284632 × 109
Coefficient of variation (CV)0.3862574
Kurtosis-0.52277557
Mean4.9926894 × 109
Median Absolute Deviation (MAD)1.2413833 × 109
Skewness0.031755727
Sum2.2716737 × 1012
Variance3.7189704 × 1018
MonotonicityNot monotonic
2023-12-11T04:39:49.079683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2560701085 2
 
0.3%
5032345484 2
 
0.3%
2496800376 2
 
0.3%
5901801550 2
 
0.3%
5042356932 2
 
0.3%
3130564768 2
 
0.3%
3553900986 1
 
0.2%
7808700354 1
 
0.2%
7625800680 1
 
0.2%
6237000048 1
 
0.2%
Other values (439) 439
76.1%
(Missing) 122
 
21.1%
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%
8930202739 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%

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>유니베라시지고산20221129000000U2022-12-01 02:40:00.0<NA><NA><NA>후원방문판매업05030959468
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>338071.805534258728.575606후원방문판매업05141933128
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
567568후원방문판매업체08_26_05_P62700002020627000030100006220201223<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>41945대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 동덕로**길 **-*, *층 (동인동*가)<NA>대구인셀덤X보타랩발라또20201223000000I2020-12-25 00:23:06.0<NA>345092.459868264166.123313후원방문판매업04700501902
568569후원방문판매업체08_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>339605.590462259057.414049후원방문판매업02890801627
569570후원방문판매업체08_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>333659.072922264728.688027후원방문판매업07670501882
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