Overview

Dataset statistics

Number of variables31
Number of observations85
Missing cells1010
Missing cells (%)38.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.3 KiB
Average record size in memory268.6 B

Variable types

Numeric11
Categorical10
Unsupported7
Text3

Dataset

Description22년11월_6270000_대구광역시_08_26_01_P_다단계판매업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097156&dataSetDetailId=DDI_0000097205&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (52.1%)Imbalance
데이터갱신구분 is highly imbalanced (67.7%)Imbalance
데이터갱신일자 is highly imbalanced (78.6%)Imbalance
인허가취소일자 has 85 (100.0%) missing valuesMissing
폐업일자 has 54 (63.5%) missing valuesMissing
휴업시작일자 has 85 (100.0%) missing valuesMissing
휴업종료일자 has 85 (100.0%) missing valuesMissing
재개업일자 has 85 (100.0%) missing valuesMissing
소재지전화 has 3 (3.5%) missing valuesMissing
소재지면적 has 85 (100.0%) missing valuesMissing
소재지우편번호 has 77 (90.6%) missing valuesMissing
도로명전체주소 has 69 (81.2%) missing valuesMissing
도로명우편번호 has 85 (100.0%) missing valuesMissing
업태구분명 has 85 (100.0%) missing valuesMissing
좌표정보(X) has 69 (81.2%) missing valuesMissing
좌표정보(Y) has 69 (81.2%) missing valuesMissing
사업자등록번호 has 74 (87.1%) 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
자본금의규모 has 5 (5.9%) zerosZeros

Reproduction

Analysis started2023-12-10 20:25:02.778522
Analysis finished2023-12-10 20:25:03.549104
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:03.698309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median43
Q364
95-th percentile80.8
Maximum85
Range84
Interquartile range (IQR)42

Descriptive statistics

Standard deviation24.681302
Coefficient of variation (CV)0.57398377
Kurtosis-1.2
Mean43
Median Absolute Deviation (MAD)21
Skewness0
Sum3655
Variance609.16667
MonotonicityStrictly increasing
2023-12-11T05:25:03.934967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
다단계판매업체
85 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다단계판매업체 85
100.0%

Length

2023-12-11T05:25:04.196259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:04.376602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다단계판매업체 85
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
08_26_01_P
85 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_01_P
2nd row08_26_01_P
3rd row08_26_01_P
4th row08_26_01_P
5th row08_26_01_P

Common Values

ValueCountFrequency (%)
08_26_01_P 85
100.0%

Length

2023-12-11T05:25:04.545620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:04.729765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_01_p 85
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
6270000
85 

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 85
100.0%

Length

2023-12-11T05:25:04.885062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:05.056208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 85
100.0%

관리번호
Real number (ℝ)

Distinct9
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0065564 × 1019
Minimum2.004627 × 1019
Maximum2.022627 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:05.187726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.004627 × 1019
5-th percentile2.004627 × 1019
Q12.004627 × 1019
median2.004627 × 1019
Q32.004627 × 1019
95-th percentile2.016427 × 1019
Maximum2.022627 × 1019
Range1.8 × 1017
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3391579 × 1016
Coefficient of variation (CV)0.0021624899
Kurtosis2.8981444
Mean2.0065564 × 1019
Median Absolute Deviation (MAD)0
Skewness2.0358864
Sum1.705573 × 1021
Variance1.8828291 × 1033
MonotonicityNot monotonic
2023-12-11T05:25:05.408819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.0046270000041e+19 70
82.4%
2.0136270000041e+19 6
 
7.1%
2.0156270000041e+19 2
 
2.4%
2.0166270000041e+19 2
 
2.4%
2.0196270000041e+19 1
 
1.2%
2.0126270000041e+19 1
 
1.2%
2.0146270000041e+19 1
 
1.2%
2.0176270000041e+19 1
 
1.2%
2.0226270000041e+19 1
 
1.2%
ValueCountFrequency (%)
2.0046270000041e+19 70
82.4%
2.0126270000041e+19 1
 
1.2%
2.0136270000041e+19 6
 
7.1%
2.0146270000041e+19 1
 
1.2%
2.0156270000041e+19 2
 
2.4%
2.0166270000041e+19 2
 
2.4%
2.0176270000041e+19 1
 
1.2%
2.0196270000041e+19 1
 
1.2%
2.0226270000041e+19 1
 
1.2%
ValueCountFrequency (%)
2.0226270000041e+19 1
 
1.2%
2.0196270000041e+19 1
 
1.2%
2.0176270000041e+19 1
 
1.2%
2.0166270000041e+19 2
 
2.4%
2.0156270000041e+19 2
 
2.4%
2.0146270000041e+19 1
 
1.2%
2.0136270000041e+19 6
 
7.1%
2.0126270000041e+19 1
 
1.2%
2.0046270000041e+19 70
82.4%

인허가일자
Real number (ℝ)

Distinct73
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20032613
Minimum19950724
Maximum20220506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:05.648448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950724
5-th percentile19962940
Q120001216
median20020130
Q320021028
95-th percentile20150493
Maximum20220506
Range269782
Interquartile range (IQR)19812

Descriptive statistics

Standard deviation58041.414
Coefficient of variation (CV)0.0028973461
Kurtosis1.2486639
Mean20032613
Median Absolute Deviation (MAD)18900
Skewness1.3802328
Sum1.7027721 × 109
Variance3.3688057 × 109
MonotonicityNot monotonic
2023-12-11T05:25:05.918922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020617 3
 
3.5%
20010716 3
 
3.5%
20020130 3
 
3.5%
20040726 2
 
2.4%
20000308 2
 
2.4%
20020309 2
 
2.4%
20030210 2
 
2.4%
20020416 2
 
2.4%
20130819 2
 
2.4%
20010529 1
 
1.2%
Other values (63) 63
74.1%
ValueCountFrequency (%)
19950724 1
1.2%
19950805 1
1.2%
19951028 1
1.2%
19961105 1
1.2%
19961122 1
1.2%
19970214 1
1.2%
19970313 1
1.2%
19970529 1
1.2%
19971220 1
1.2%
19980320 1
1.2%
ValueCountFrequency (%)
20220506 1
1.2%
20190215 1
1.2%
20161122 1
1.2%
20160502 1
1.2%
20150511 1
1.2%
20150422 1
1.2%
20140929 1
1.2%
20131023 1
1.2%
20131022 1
1.2%
20130819 2
2.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
3
61 
4
20 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 61
71.8%
4 20
 
23.5%
1 4
 
4.7%

Length

2023-12-11T05:25:06.129857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:06.660505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 61
71.8%
4 20
 
23.5%
1 4
 
4.7%

영업상태명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
폐업
61 
취소/말소/만료/정지/중지
20 
영업/정상
 
4

Length

Max length14
Median length2
Mean length4.9647059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 61
71.8%
취소/말소/만료/정지/중지 20
 
23.5%
영업/정상 4
 
4.7%

Length

2023-12-11T05:25:06.858517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:07.028145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 61
71.8%
취소/말소/만료/정지/중지 20
 
23.5%
영업/정상 4
 
4.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
4
61 
6
20 
BBBB
 
2
1
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.0705882
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row1
2nd row2
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 61
71.8%
6 20
 
23.5%
BBBB 2
 
2.4%
1 1
 
1.2%
2 1
 
1.2%

Length

2023-12-11T05:25:07.225733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:07.421109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 61
71.8%
6 20
 
23.5%
bbbb 2
 
2.4%
1 1
 
1.2%
2 1
 
1.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
폐업
61 
직권말소
20 
영업
 
4

Length

Max length4
Median length2
Mean length2.4705882
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 61
71.8%
직권말소 20
 
23.5%
영업 4
 
4.7%

Length

2023-12-11T05:25:07.646482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:07.852346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 61
71.8%
직권말소 20
 
23.5%
영업 4
 
4.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing54
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean20102218
Minimum19970331
Maximum20181018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:08.046161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970331
5-th percentile20010861
Q120025664
median20140501
Q320180514
95-th percentile20180721
Maximum20181018
Range210687
Interquartile range (IQR)154850.5

Descriptive statistics

Standard deviation75538.355
Coefficient of variation (CV)0.0037577125
Kurtosis-1.8082954
Mean20102218
Median Absolute Deviation (MAD)40230
Skewness-0.20663621
Sum6.2316876 × 108
Variance5.7060431 × 109
MonotonicityNot monotonic
2023-12-11T05:25:08.247236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20180514 7
 
8.2%
20140501 2
 
2.4%
20040211 1
 
1.2%
19970331 1
 
1.2%
20180711 1
 
1.2%
20180131 1
 
1.2%
20180731 1
 
1.2%
20151203 1
 
1.2%
20140926 1
 
1.2%
20140623 1
 
1.2%
Other values (14) 14
 
16.5%
(Missing) 54
63.5%
ValueCountFrequency (%)
19970331 1
1.2%
20010502 1
1.2%
20011220 1
1.2%
20020110 1
1.2%
20020306 1
1.2%
20020522 1
1.2%
20021209 1
1.2%
20021221 1
1.2%
20030106 1
1.2%
20030130 1
1.2%
ValueCountFrequency (%)
20181018 1
 
1.2%
20180731 1
 
1.2%
20180711 1
 
1.2%
20180514 7
8.2%
20180131 1
 
1.2%
20151203 1
 
1.2%
20150302 1
 
1.2%
20140926 1
 
1.2%
20140623 1
 
1.2%
20140501 2
 
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)100.0%
Missing3
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean5.7440357 × 108
Minimum15449886
Maximum5.3189979 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:08.582683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15449886
5-th percentile5.3170217 × 108
Q15.3427907 × 108
median5.3654204 × 108
Q35.3751846 × 108
95-th percentile5.3962337 × 108
Maximum5.3189979 × 109
Range5.303548 × 109
Interquartile range (IQR)3239387

Descriptive statistics

Standard deviation5.4361747 × 108
Coefficient of variation (CV)0.94640336
Kurtosis74.090791
Mean5.7440357 × 108
Median Absolute Deviation (MAD)1013047
Skewness8.3593664
Sum4.7101093 × 1010
Variance2.9551995 × 1017
MonotonicityNot monotonic
2023-12-11T05:25:08.956225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
536507722 1
 
1.2%
536560717 1
 
1.2%
808968888 1
 
1.2%
18993121 1
 
1.2%
704760398 1
 
1.2%
531661688 1
 
1.2%
533112675 1
 
1.2%
537459003 1
 
1.2%
537218550 1
 
1.2%
537518795 1
 
1.2%
Other values (72) 72
84.7%
(Missing) 3
 
3.5%
ValueCountFrequency (%)
15449886 1
1.2%
16660223 1
1.2%
16668118 1
1.2%
18993121 1
1.2%
531661688 1
1.2%
532471234 1
1.2%
532475660 1
1.2%
532537180 1
1.2%
532541728 1
1.2%
532551017 1
1.2%
ValueCountFrequency (%)
5318997889 1
1.2%
808968888 1
1.2%
704760398 1
1.2%
539637779 1
1.2%
539626200 1
1.2%
539569534 1
1.2%
539431472 1
1.2%
537612109 1
1.2%
537610040 1
1.2%
537579058 1
1.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing77
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean454507.38
Minimum41166
Maximum705808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:09.179808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41166
5-th percentile41441.8
Q142095
median700716.5
Q3701753.5
95-th percentile704414.65
Maximum705808
Range664642
Interquartile range (IQR)659658.5

Descriptive statistics

Standard deviation341796.13
Coefficient of variation (CV)0.75201449
Kurtosis-2.2399395
Mean454507.38
Median Absolute Deviation (MAD)3101
Skewness-0.64397867
Sum3636059
Variance1.168246 × 1011
MonotonicityNot monotonic
2023-12-11T05:25:09.346389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
41166 1
 
1.2%
700412 1
 
1.2%
701827 1
 
1.2%
701729 1
 
1.2%
701021 1
 
1.2%
705808 1
 
1.2%
42142 1
 
1.2%
41954 1
 
1.2%
(Missing) 77
90.6%
ValueCountFrequency (%)
41166 1
1.2%
41954 1
1.2%
42142 1
1.2%
700412 1
1.2%
701021 1
1.2%
701729 1
1.2%
701827 1
1.2%
705808 1
1.2%
ValueCountFrequency (%)
705808 1
1.2%
701827 1
1.2%
701729 1
1.2%
701021 1
1.2%
700412 1
1.2%
42142 1
1.2%
41954 1
1.2%
41166 1
1.2%

소재지전체주소
Text

Distinct82
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-11T05:25:10.029911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length28.270588
Min length1

Characters and Unicode

Total characters2403
Distinct characters126
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)94.1%

Sample

1st row대구광역시 동구 용계동 437번지 57호
2nd row대구광역시 동구 신천동 74번지 1호 74번지 1호 74번지 1호
3rd row대구광역시 동구 신천동 신천4동 335-6
4th row대구광역시 달서구 두류동 8-7-3 한신빌딩 6층
5th row대구광역시 수성구 범어동 186-4번지
ValueCountFrequency (%)
대구광역시 82
 
18.1%
동구 26
 
5.8%
신천동 22
 
4.9%
수성구 16
 
3.5%
중구 15
 
3.3%
남구 10
 
2.2%
서구 8
 
1.8%
대명동 8
 
1.8%
4층 7
 
1.5%
2층 7
 
1.5%
Other values (180) 251
55.5%
2023-12-11T05:25:10.947250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
614
25.6%
구 165
 
6.9%
동 146
 
6.1%
대 105
 
4.4%
1 100
 
4.2%
광 88
 
3.7%
역 82
 
3.4%
시 82
 
3.4%
3 68
 
2.8%
- 60
 
2.5%
Other values (116) 893
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1246
51.9%
Space Separator 614
25.6%
Decimal Number 462
 
19.2%
Dash Punctuation 60
 
2.5%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 165
 
13.2%
동 146
 
11.7%
대 105
 
8.4%
광 88
 
7.1%
역 82
 
6.6%
시 82
 
6.6%
층 41
 
3.3%
신 36
 
2.9%
천 33
 
2.6%
딩 33
 
2.6%
Other values (99) 435
34.9%
Decimal Number
ValueCountFrequency (%)
1 100
21.6%
3 68
14.7%
2 60
13.0%
4 43
9.3%
7 42
9.1%
0 35
 
7.6%
5 32
 
6.9%
6 31
 
6.7%
8 26
 
5.6%
9 25
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
614
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1246
51.9%
Common 1155
48.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 165
 
13.2%
동 146
 
11.7%
대 105
 
8.4%
광 88
 
7.1%
역 82
 
6.6%
시 82
 
6.6%
층 41
 
3.3%
신 36
 
2.9%
천 33
 
2.6%
딩 33
 
2.6%
Other values (99) 435
34.9%
Common
ValueCountFrequency (%)
614
53.2%
1 100
 
8.7%
3 68
 
5.9%
- 60
 
5.2%
2 60
 
5.2%
4 43
 
3.7%
7 42
 
3.6%
0 35
 
3.0%
5 32
 
2.8%
6 31
 
2.7%
Other values (5) 70
 
6.1%
Latin
ValueCountFrequency (%)
O 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1246
51.9%
ASCII 1157
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
614
53.1%
1 100
 
8.6%
3 68
 
5.9%
- 60
 
5.2%
2 60
 
5.2%
4 43
 
3.7%
7 42
 
3.6%
0 35
 
3.0%
5 32
 
2.8%
6 31
 
2.7%
Other values (7) 72
 
6.2%
Hangul
ValueCountFrequency (%)
구 165
 
13.2%
동 146
 
11.7%
대 105
 
8.4%
광 88
 
7.1%
역 82
 
6.6%
시 82
 
6.6%
층 41
 
3.3%
신 36
 
2.9%
천 33
 
2.6%
딩 33
 
2.6%
Other values (99) 435
34.9%

도로명전체주소
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing69
Missing (%)81.2%
Memory size812.0 B
2023-12-11T05:25:11.380001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28.5
Mean length27.125
Min length21

Characters and Unicode

Total characters434
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)75.0%

Sample

1st row대구광역시 동구 화랑로 471 (용계동)
2nd row대구광역시 동구 동대구로 503 (신천동)
3rd row대구광역시 동구 장등로 88 (신천동)
4th row대구광역시 중구 공평로4길 39 (삼덕동2가)
5th row대구광역시 동구 동부로26길 66 (신천동)
ValueCountFrequency (%)
대구광역시 16
 
18.4%
동구 8
 
9.2%
신천동 6
 
6.9%
수성구 4
 
4.6%
화랑로 2
 
2.3%
471 2
 
2.3%
용계동 2
 
2.3%
동부로26길 2
 
2.3%
66 2
 
2.3%
동대구로 2
 
2.3%
Other values (39) 41
47.1%
2023-12-11T05:25:11.990384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
16.4%
구 35
 
8.1%
동 31
 
7.1%
대 22
 
5.1%
시 16
 
3.7%
로 16
 
3.7%
) 16
 
3.7%
역 16
 
3.7%
( 16
 
3.7%
광 16
 
3.7%
Other values (58) 179
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 251
57.8%
Space Separator 71
 
16.4%
Decimal Number 70
 
16.1%
Close Punctuation 16
 
3.7%
Open Punctuation 16
 
3.7%
Other Punctuation 9
 
2.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 35
13.9%
동 31
12.4%
대 22
 
8.8%
시 16
 
6.4%
로 16
 
6.4%
역 16
 
6.4%
광 16
 
6.4%
수 8
 
3.2%
성 8
 
3.2%
가 7
 
2.8%
Other values (43) 76
30.3%
Decimal Number
ValueCountFrequency (%)
2 12
17.1%
1 10
14.3%
3 10
14.3%
6 10
14.3%
0 7
10.0%
4 6
8.6%
5 5
7.1%
8 5
7.1%
7 3
 
4.3%
9 2
 
2.9%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 251
57.8%
Common 183
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 35
13.9%
동 31
12.4%
대 22
 
8.8%
시 16
 
6.4%
로 16
 
6.4%
역 16
 
6.4%
광 16
 
6.4%
수 8
 
3.2%
성 8
 
3.2%
가 7
 
2.8%
Other values (43) 76
30.3%
Common
ValueCountFrequency (%)
71
38.8%
) 16
 
8.7%
( 16
 
8.7%
2 12
 
6.6%
1 10
 
5.5%
3 10
 
5.5%
6 10
 
5.5%
, 9
 
4.9%
0 7
 
3.8%
4 6
 
3.3%
Other values (5) 16
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 251
57.8%
ASCII 183
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
38.8%
) 16
 
8.7%
( 16
 
8.7%
2 12
 
6.6%
1 10
 
5.5%
3 10
 
5.5%
6 10
 
5.5%
, 9
 
4.9%
0 7
 
3.8%
4 6
 
3.3%
Other values (5) 16
 
8.7%
Hangul
ValueCountFrequency (%)
구 35
13.9%
동 31
12.4%
대 22
 
8.8%
시 16
 
6.4%
로 16
 
6.4%
역 16
 
6.4%
광 16
 
6.4%
수 8
 
3.2%
성 8
 
3.2%
가 7
 
2.8%
Other values (43) 76
30.3%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

사업장명
Text

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-11T05:25:12.360907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.3529412
Min length5

Characters and Unicode

Total characters710
Distinct characters166
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)97.6%

Sample

1st row라라코리아인터내셔날 주식회사
2nd row(주)투에버
3rd row(주)세비앙몽드
4th row케이제이엠종합유통(주)
5th row(주)제이아이씨
ValueCountFrequency (%)
주식회사 9
 
9.5%
주)그린앤센스 2
 
2.1%
주)시티에듀넷 1
 
1.1%
주)항균나라생활건강 1
 
1.1%
위나라이트코리아 1
 
1.1%
블루그린 1
 
1.1%
컨슈머월드 1
 
1.1%
지원엔앰씨 1
 
1.1%
금보바이오닉스(주 1
 
1.1%
주)씨엠앤지 1
 
1.1%
Other values (76) 76
80.0%
2023-12-11T05:25:13.010019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 84
 
11.8%
( 75
 
10.6%
) 75
 
10.6%
이 34
 
4.8%
리 16
 
2.3%
아 16
 
2.3%
코 13
 
1.8%
스 13
 
1.8%
인 11
 
1.5%
10
 
1.4%
Other values (156) 363
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
76.9%
Open Punctuation 75
 
10.6%
Close Punctuation 75
 
10.6%
Space Separator 10
 
1.4%
Other Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
15.4%
이 34
 
6.2%
리 16
 
2.9%
아 16
 
2.9%
코 13
 
2.4%
스 13
 
2.4%
인 11
 
2.0%
라 10
 
1.8%
사 9
 
1.6%
회 9
 
1.6%
Other values (152) 331
60.6%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
76.9%
Common 164
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
15.4%
이 34
 
6.2%
리 16
 
2.9%
아 16
 
2.9%
코 13
 
2.4%
스 13
 
2.4%
인 11
 
2.0%
라 10
 
1.8%
사 9
 
1.6%
회 9
 
1.6%
Other values (152) 331
60.6%
Common
ValueCountFrequency (%)
( 75
45.7%
) 75
45.7%
10
 
6.1%
. 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
76.9%
ASCII 164
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 84
 
15.4%
이 34
 
6.2%
리 16
 
2.9%
아 16
 
2.9%
코 13
 
2.4%
스 13
 
2.4%
인 11
 
2.0%
라 10
 
1.8%
사 9
 
1.6%
회 9
 
1.6%
Other values (152) 331
60.6%
ASCII
ValueCountFrequency (%)
( 75
45.7%
) 75
45.7%
10
 
6.1%
. 4
 
2.4%

최종수정시점
Real number (ℝ)

Distinct19
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144451 × 1013
Minimum2.005111 × 1013
Maximum2.0220809 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:13.192032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.005111 × 1013
5-th percentile2.005111 × 1013
Q12.0141001 × 1013
median2.0141001 × 1013
Q32.0180514 × 1013
95-th percentile2.019011 × 1013
Maximum2.0220809 × 1013
Range1.69699 × 1011
Interquartile range (IQR)3.9513 × 1010

Descriptive statistics

Standard deviation4.6787521 × 1010
Coefficient of variation (CV)0.002322601
Kurtosis0.16074999
Mean2.0144451 × 1013
Median Absolute Deviation (MAD)3.9513 × 1010
Skewness-1.0013436
Sum1.7122784 × 1015
Variance2.1890722 × 1021
MonotonicityNot monotonic
2023-12-11T05:25:13.390482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20141001000000 32
37.6%
20180514000000 25
29.4%
20051110000000 7
 
8.2%
20051111000000 5
 
5.9%
20051112000000 2
 
2.4%
20190215000000 1
 
1.2%
20180131000000 1
 
1.2%
20220506000000 1
 
1.2%
20220809000000 1
 
1.2%
20190109000000 1
 
1.2%
Other values (9) 9
 
10.6%
ValueCountFrequency (%)
20051110000000 7
 
8.2%
20051111000000 5
 
5.9%
20051112000000 2
 
2.4%
20140623000000 1
 
1.2%
20140926000000 1
 
1.2%
20141001000000 32
37.6%
20150304000000 1
 
1.2%
20151204000000 1
 
1.2%
20180131000000 1
 
1.2%
20180514000000 25
29.4%
ValueCountFrequency (%)
20220809000000 1
 
1.2%
20220523000000 1
 
1.2%
20220506000000 1
 
1.2%
20190215000000 1
 
1.2%
20190110000000 1
 
1.2%
20190109000000 1
 
1.2%
20181018000000 1
 
1.2%
20180731000000 1
 
1.2%
20180711000000 1
 
1.2%
20180514000000 25
29.4%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
I
80 
U
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 80
94.1%
U 5
 
5.9%

Length

2023-12-11T05:25:13.591214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:13.778319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 80
94.1%
u 5
 
5.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct8
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
2018-08-31 23:59:59.0
78 
2019-02-17 02:21:23.0
 
1
2022-05-25 02:40:00.0
 
1
2018-10-20 02:37:50.0
 
1
2019-01-12 02:40:00.0
 
1
Other values (3)
 
3

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)8.2%

Sample

1st row2019-02-17 02:21:23.0
2nd row2022-05-25 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 78
91.8%
2019-02-17 02:21:23.0 1
 
1.2%
2022-05-25 02:40:00.0 1
 
1.2%
2018-10-20 02:37:50.0 1
 
1.2%
2019-01-12 02:40:00.0 1
 
1.2%
2019-01-11 02:40:00.0 1
 
1.2%
2022-08-11 02:40:00.0 1
 
1.2%
2022-05-08 00:22:33.0 1
 
1.2%

Length

2023-12-11T05:25:13.956880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:14.143469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 78
45.9%
23:59:59.0 78
45.9%
02:40:00.0 4
 
2.4%
2019-02-17 1
 
0.6%
02:21:23.0 1
 
0.6%
2022-05-25 1
 
0.6%
2018-10-20 1
 
0.6%
02:37:50.0 1
 
0.6%
2019-01-12 1
 
0.6%
2019-01-11 1
 
0.6%
Other values (3) 3
 
1.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing69
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean346306.23
Minimum340568.71
Maximum351211.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:14.361393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum340568.71
5-th percentile342111.19
Q1345219.33
median346614.53
Q3346954.22
95-th percentile351211.13
Maximum351211.13
Range10642.422
Interquartile range (IQR)1734.8914

Descriptive statistics

Standard deviation2655.9535
Coefficient of variation (CV)0.0076693784
Kurtosis1.1965657
Mean346306.23
Median Absolute Deviation (MAD)1057.2289
Skewness-0.024911597
Sum5540899.7
Variance7054089.2
MonotonicityNot monotonic
2023-12-11T05:25:14.514570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
351211.131307881 2
 
2.4%
346954.221838711 2
 
2.4%
346691.951910382 1
 
1.2%
346557.305781287 1
 
1.2%
344634.648244336 1
 
1.2%
346671.747220574 1
 
1.2%
346915.153894167 1
 
1.2%
345727.539482349 1
 
1.2%
342625.355314337 1
 
1.2%
348061.829691568 1
 
1.2%
Other values (4) 4
 
4.7%
(Missing) 69
81.2%
ValueCountFrequency (%)
340568.709642826 1
1.2%
342625.355314337 1
1.2%
344634.648244336 1
1.2%
344716.15441687 1
1.2%
345387.055811851 1
1.2%
345727.539482349 1
1.2%
346011.564157904 1
1.2%
346557.305781287 1
1.2%
346671.747220574 1
1.2%
346691.951910382 1
1.2%
ValueCountFrequency (%)
351211.131307881 2
2.4%
348061.829691568 1
1.2%
346954.221838711 2
2.4%
346915.153894167 1
1.2%
346691.951910382 1
1.2%
346671.747220574 1
1.2%
346557.305781287 1
1.2%
346011.564157904 1
1.2%
345727.539482349 1
1.2%
345387.055811851 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing69
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean264043.09
Minimum261396.15
Maximum265256.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:14.686716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum261396.15
5-th percentile262162.63
Q1263278.9
median264539.57
Q3264968.31
95-th percentile265256.54
Maximum265256.54
Range3860.3947
Interquartile range (IQR)1689.4108

Descriptive statistics

Standard deviation1172.7052
Coefficient of variation (CV)0.00444134
Kurtosis-0.10747507
Mean264043.09
Median Absolute Deviation (MAD)658.08535
Skewness-0.87558862
Sum4224689.5
Variance1375237.4
MonotonicityNot monotonic
2023-12-11T05:25:14.885493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
265256.542723342 2
 
2.4%
264539.573320203 2
 
2.4%
265138.774608058 1
 
1.2%
265104.489673016 1
 
1.2%
263978.051871396 1
 
1.2%
264917.244195841 1
 
1.2%
264572.308082542 1
 
1.2%
263045.110029152 1
 
1.2%
261396.148029265 1
 
1.2%
264922.92149464 1
 
1.2%
Other values (4) 4
 
4.7%
(Missing) 69
81.2%
ValueCountFrequency (%)
261396.148029265 1
1.2%
262418.129404355 1
1.2%
262779.774088701 1
1.2%
263045.110029152 1
1.2%
263356.833665963 1
1.2%
263467.493083226 1
1.2%
263978.051871396 1
1.2%
264539.573320203 2
2.4%
264572.308082542 1
1.2%
264917.244195841 1
1.2%
ValueCountFrequency (%)
265256.542723342 2
2.4%
265138.774608058 1
1.2%
265104.489673016 1
1.2%
264922.92149464 1
1.2%
264917.244195841 1
1.2%
264572.308082542 1
1.2%
264539.573320203 2
2.4%
263978.051871396 1
1.2%
263467.493083226 1
1.2%
263356.833665963 1
1.2%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
다단계판매업
85 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다단계판매업 85
100.0%

Length

2023-12-11T05:25:15.081601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:25:15.223384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다단계판매업 85
100.0%

자본금의규모
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7899845 × 108
Minimum0
Maximum2.06 × 1010
Zeros5
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:15.405859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6137180
Q13 × 108
median3.1 × 108
Q35 × 108
95-th percentile5.2896322 × 108
Maximum2.06 × 1010
Range2.06 × 1010
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation2.2019972 × 109
Coefficient of variation (CV)3.8031142
Kurtosis84.272468
Mean5.7899845 × 108
Median Absolute Deviation (MAD)10000000
Skewness9.1608149
Sum4.9214869 × 1010
Variance4.8487918 × 1018
MonotonicityNot monotonic
2023-12-11T05:25:15.606429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
300000000 18
21.2%
500000000 13
 
15.3%
0 5
 
5.9%
310000000 5
 
5.9%
505000000 2
 
2.4%
600000000 2
 
2.4%
302434208 1
 
1.2%
301872704 1
 
1.2%
307900000 1
 
1.2%
311110016 1
 
1.2%
Other values (36) 36
42.4%
ValueCountFrequency (%)
0 5
 
5.9%
30685900 1
 
1.2%
31000000 1
 
1.2%
50000000 1
 
1.2%
300000000 18
21.2%
300143808 1
 
1.2%
300325984 1
 
1.2%
300920512 1
 
1.2%
301872704 1
 
1.2%
302434208 1
 
1.2%
ValueCountFrequency (%)
20600000500 1
 
1.2%
600000000 2
 
2.4%
550000000 1
 
1.2%
530000000 1
 
1.2%
524816096 1
 
1.2%
518012576 1
 
1.2%
515000000 1
 
1.2%
505000000 2
 
2.4%
501000000 1
 
1.2%
500000000 13
15.3%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing74
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean4.7267361 × 109
Minimum1.2586336 × 109
Maximum6.8086005 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T05:25:15.800961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2586336 × 109
5-th percentile1.7037312 × 109
Q15.0286236 × 109
median5.0286256 × 109
Q35.0984014 × 109
95-th percentile6.6136008 × 109
Maximum6.8086005 × 109
Range5.5499669 × 109
Interquartile range (IQR)69777873

Descriptive statistics

Standard deviation1.6315324 × 109
Coefficient of variation (CV)0.34517103
Kurtosis1.4193368
Mean4.7267361 × 109
Median Absolute Deviation (MAD)19982833
Skewness-1.2587526
Sum5.1994097 × 1010
Variance2.6618979 × 1018
MonotonicityNot monotonic
2023-12-11T05:25:16.000226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6418601070 1
 
1.2%
5048132871 1
 
1.2%
5028623838 1
 
1.2%
5028624365 1
 
1.2%
5028625587 1
 
1.2%
5028623293 1
 
1.2%
5148194457 1
 
1.2%
2148828721 1
 
1.2%
6808600514 1
 
1.2%
5048608420 1
 
1.2%
(Missing) 74
87.1%
ValueCountFrequency (%)
1258633600 1
1.2%
2148828721 1
1.2%
5028623293 1
1.2%
5028623838 1
1.2%
5028624365 1
1.2%
5028625587 1
1.2%
5048132871 1
1.2%
5048608420 1
1.2%
5148194457 1
1.2%
6418601070 1
1.2%
ValueCountFrequency (%)
6808600514 1
1.2%
6418601070 1
1.2%
5148194457 1
1.2%
5048608420 1
1.2%
5048132871 1
1.2%
5028625587 1
1.2%
5028624365 1
1.2%
5028623838 1
1.2%
5028623293 1
1.2%
2148828721 1
1.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
01다단계판매업체08_26_01_P62700002019627000004100000120190215<NA>1영업/정상1영업<NA><NA><NA><NA>15449886<NA>41166대구광역시 동구 용계동 437번지 57호대구광역시 동구 화랑로 471 (용계동)<NA>라라코리아인터내셔날 주식회사20190215000000I2019-02-17 02:21:23.0<NA>351211.131308265256.542723다단계판매업06418601070
12다단계판매업체08_26_01_P62700002004627000004100004320110405<NA>1영업/정상2영업<NA><NA><NA><NA>537579058<NA><NA>대구광역시 동구 신천동 74번지 1호 74번지 1호 74번지 1호대구광역시 동구 동대구로 503 (신천동)<NA>(주)투에버20220523000000U2022-05-25 02:40:00.0<NA>346691.95191265138.774608다단계판매업206000005005048132871
23다단계판매업체08_26_01_P62700002004627000004100006619950805<NA>3폐업4폐업<NA><NA><NA><NA>537521030<NA><NA>대구광역시 동구 신천동 신천4동 335-6<NA><NA>(주)세비앙몽드20141001000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업306000000<NA>
34다단계판매업체08_26_01_P62700002004627000004100006720000308<NA>3폐업4폐업20180514<NA><NA><NA>536234400<NA><NA>대구광역시 달서구 두류동 8-7-3 한신빌딩 6층<NA><NA>케이제이엠종합유통(주)20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업300000000<NA>
45다단계판매업체08_26_01_P62700002004627000004100006819980320<NA>3폐업4폐업20180514<NA><NA><NA>537517435<NA><NA>대구광역시 수성구 범어동 186-4번지<NA><NA>(주)제이아이씨20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업306493664<NA>
56다단계판매업체08_26_01_P62700002004627000004100004220010420<NA>3폐업4폐업20180514<NA><NA><NA>534220330<NA><NA>대구광역시 북구 침산동 심산2동 156-50<NA><NA>(주)라이즈업20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업308022976<NA>
67다단계판매업체08_26_01_P62700002004627000004100003720010716<NA>3폐업4폐업20031105<NA><NA><NA>539569534<NA><NA>대구광역시 북구 서변동 970번지 (2층)<NA><NA>(주)골든임페리얼20051110000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업304599008<NA>
78다단계판매업체08_26_01_P62700002004627000004100003320011112<NA>3폐업4폐업<NA><NA><NA><NA>536562861<NA><NA>대구광역시 남구 대명동 대명2동 1790-3 한빛은행 2층<NA><NA>(주)프리웨이20141001000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업354742688<NA>
89다단계판매업체08_26_01_P62700002004627000004100000620021028<NA>3폐업4폐업<NA><NA><NA><NA>537556251<NA><NA>대구광역시 동구 신천동 신천3동 194-45 목화빌딩 3층<NA><NA>(주)라이프케어코리아20141001000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업31000000<NA>
910다단계판매업체08_26_01_P62700002004627000004100000220030210<NA>3폐업4폐업<NA><NA><NA><NA>537543391<NA><NA>대구광역시 중구 동산동 788-5 그룹원빌딩 7층<NA><NA>다부코리아20141001000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업524816096<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모사업자등록번호
7576다단계판매업체08_26_01_P62700002004627000004100005919970529<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>534740075<NA><NA>대구광역시 남구 봉덕동 봉덕1동 1300-5<NA><NA>(주)보은인터내셔날20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업300000000<NA>
7677다단계판매업체08_26_01_P62700002004627000004100004820001223<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>537610040<NA><NA>대구광역시 수성구 수성동3가 332 다송빌딩 2층<NA><NA>(주)지엠코리아원20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업310000000<NA>
7778다단계판매업체08_26_01_P62700002004627000004100005020001130<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>536523360<NA><NA>대구광역시 남구 대명동 대명7동 1896-13 쌍마빌딩2층<NA><NA>(주)옥타코리아20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업302464992<NA>
7879다단계판매업체08_26_01_P62700002004627000004100006119971220<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>534760180<NA><NA>대구광역시 남구 봉덕동 봉덕1동 606-8번지<NA><NA>코리넷(주)20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업492940000<NA>
7980다단계판매업체08_26_01_P62700002004627000004100006319961105<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>536560755<NA><NA>대구광역시 동구 신천동 391-2<NA><NA>(주)아프로드20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업310223392<NA>
8081다단계판매업체08_26_01_P62700002004627000004100006419951028<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>537439866<NA><NA>대구광역시 동구 신천동 323-3<NA><NA>(주)밀레니스20180514000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매업330984992<NA>
8182다단계판매업체08_26_01_P62700002015627000004100000220150511<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>16660223<NA><NA>대구광역시 수성구 수성동1가 272번지 11호 한가라코아상가 202호대구광역시 수성구 명덕로 368, 202호 (수성동1가,한가라코아상가)<NA>주식회사 아이시냅스20190109000000U2019-01-11 02:40:00.0<NA>345387.055812262779.774089다단계판매업500000000<NA>
8283다단계판매업체08_26_01_P62700002017627000004100000120161122<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>16668118<NA><NA>대구광역시 서구 내당동 230번지 1호 301호대구광역시 서구 서대구로 38, 301호 (내당동)<NA>주식회사 예스인포20180514000000I2018-08-31 23:59:59.0<NA>340568.709643263467.493083다단계판매업06808600514
8384다단계판매업체08_26_01_P62700002013627000004100000520131022<NA>1영업/정상BBBB영업<NA><NA><NA><NA>5318997889<NA>42142대구광역시 수성구 수성동3가 391번지 2호대구광역시 수성구 들안로 236 (수성동3가)<NA>(주)채이은20220809000000U2022-08-11 02:40:00.0<NA>346011.564158262418.129404다단계판매업5000000005048608420
8485다단계판매업체08_26_01_P62700002022627000004100000120220506<NA>1영업/정상BBBB영업<NA><NA><NA><NA>534277077<NA>41954대구광역시 중구 대봉동 758번지 0호 대봉태왕아너스 111동 304호대구광역시 중구 동덕로 55, 111동 304호(대봉동, 대봉태왕아너스)<NA>주식회사 올네이쳐20220506000000I2022-05-08 00:22:33.0<NA>344716.154417263356.833666다단계판매업6000000001258633600