Overview

Dataset statistics

Number of variables29
Number of observations2576
Missing cells19788
Missing cells (%)26.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory629.0 KiB
Average record size in memory250.1 B

Variable types

Numeric12
Categorical7
Unsupported4
Text5
DateTime1

Dataset

Description22년05월_6270000_대구광역시_04_15_01_P_옥외광고업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093589&dataSetDetailId=DDI_0000093616&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
상세영업상태명 is highly imbalanced (58.8%)Imbalance
재개업일자 is highly imbalanced (99.0%)Imbalance
인허가취소일자 has 2576 (100.0%) missing valuesMissing
폐업일자 has 969 (37.6%) missing valuesMissing
휴업시작일자 has 2534 (98.4%) missing valuesMissing
휴업종료일자 has 2534 (98.4%) missing valuesMissing
소재지전화 has 704 (27.3%) missing valuesMissing
소재지면적 has 2576 (100.0%) missing valuesMissing
소재지우편번호 has 2576 (100.0%) missing valuesMissing
소재지전체주소 has 53 (2.1%) missing valuesMissing
도로명전체주소 has 517 (20.1%) missing valuesMissing
도로명우편번호 has 1213 (47.1%) missing valuesMissing
업태구분명 has 2576 (100.0%) missing valuesMissing
좌표정보(X) has 446 (17.3%) missing valuesMissing
좌표정보(Y) has 446 (17.3%) missing valuesMissing
영업내용 has 68 (2.6%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 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
소재지우편번호 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 19:53:37.275309
Analysis finished2023-12-10 19:53:38.574534
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2576
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1288.5
Minimum1
Maximum2576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:38.684694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile129.75
Q1644.75
median1288.5
Q31932.25
95-th percentile2447.25
Maximum2576
Range2575
Interquartile range (IQR)1287.5

Descriptive statistics

Standard deviation743.77147
Coefficient of variation (CV)0.57723824
Kurtosis-1.2
Mean1288.5
Median Absolute Deviation (MAD)644
Skewness0
Sum3319176
Variance553196
MonotonicityStrictly increasing
2023-12-11T04:53:38.857485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1693 1
 
< 0.1%
1715 1
 
< 0.1%
1716 1
 
< 0.1%
1717 1
 
< 0.1%
1718 1
 
< 0.1%
1719 1
 
< 0.1%
1720 1
 
< 0.1%
1721 1
 
< 0.1%
1722 1
 
< 0.1%
Other values (2566) 2566
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2576 1
< 0.1%
2575 1
< 0.1%
2574 1
< 0.1%
2573 1
< 0.1%
2572 1
< 0.1%
2571 1
< 0.1%
2570 1
< 0.1%
2569 1
< 0.1%
2568 1
< 0.1%
2567 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
옥외광고업
2576 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옥외광고업 2576
100.0%

Length

2023-12-11T04:53:38.994409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:39.120441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥외광고업 2576
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
04_15_01_P
2576 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row04_15_01_P
2nd row04_15_01_P
3rd row04_15_01_P
4th row04_15_01_P
5th row04_15_01_P

Common Values

ValueCountFrequency (%)
04_15_01_P 2576
100.0%

Length

2023-12-11T04:53:39.257075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:39.359519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_15_01_p 2576
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442802.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:39.457221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation21397.43
Coefficient of variation (CV)0.0062151194
Kurtosis-1.2610432
Mean3442802.8
Median Absolute Deviation (MAD)20000
Skewness-0.045776572
Sum8.86866 × 109
Variance4.5785003 × 108
MonotonicityIncreasing
2023-12-11T04:53:39.596717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 411
16.0%
3470000 399
15.5%
3420000 370
14.4%
3450000 359
13.9%
3430000 343
13.3%
3410000 327
12.7%
3440000 265
10.3%
3480000 102
 
4.0%
ValueCountFrequency (%)
3410000 327
12.7%
3420000 370
14.4%
3430000 343
13.3%
3440000 265
10.3%
3450000 359
13.9%
3460000 411
16.0%
3470000 399
15.5%
3480000 102
 
4.0%
ValueCountFrequency (%)
3480000 102
 
4.0%
3470000 399
15.5%
3460000 411
16.0%
3450000 359
13.9%
3440000 265
10.3%
3430000 343
13.3%
3420000 370
14.4%
3410000 327
12.7%

관리번호
Real number (ℝ)

Distinct2572
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0049666 × 1018
Minimum1.985345 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:39.749585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.985345 × 1018
5-th percentile1.991344 × 1018
Q11.999343 × 1018
median2.003344 × 1018
Q32.012342 × 1018
95-th percentile2.020344 × 1018
Maximum2.022348 × 1018
Range3.7003032 × 1016
Interquartile range (IQR)1.2999009 × 1016

Descriptive statistics

Standard deviation8.6486718 × 1015
Coefficient of variation (CV)0.004313624
Kurtosis-0.84864619
Mean2.0049666 × 1018
Median Absolute Deviation (MAD)5.998996 × 1015
Skewness0.27661485
Sum-2.9445882 × 1017
Variance7.4799524 × 1031
MonotonicityNot monotonic
2023-12-11T04:53:39.904586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341004708500001 3
 
0.1%
2002345006108200003 2
 
0.1%
2006348009008200005 2
 
0.1%
2019341012708500003 1
 
< 0.1%
2001346005708200023 1
 
< 0.1%
2003346008508500016 1
 
< 0.1%
2003346008508500026 1
 
< 0.1%
2001346005708200020 1
 
< 0.1%
2001346005708200021 1
 
< 0.1%
2001346005708200022 1
 
< 0.1%
Other values (2562) 2562
99.5%
ValueCountFrequency (%)
1985345000008200001 1
< 0.1%
1985345000008200002 1
< 0.1%
1985345000008200003 1
< 0.1%
1985345000008200004 1
< 0.1%
1985345000008200005 1
< 0.1%
1985345000008200006 1
< 0.1%
1985345000008200007 1
< 0.1%
1987345000008200001 1
< 0.1%
1987345000008200002 1
< 0.1%
1988345000008200001 1
< 0.1%
ValueCountFrequency (%)
2022348032408500003 1
< 0.1%
2022348032408500002 1
< 0.1%
2022348032408500001 1
< 0.1%
2022346011808500004 1
< 0.1%
2022346011808500003 1
< 0.1%
2022346011808500002 1
< 0.1%
2022346011808500001 1
< 0.1%
2022345015408500002 1
< 0.1%
2022345015408500001 1
< 0.1%
2022344012708500001 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1907
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20054858
Minimum19850408
Maximum20220520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:40.083777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850408
5-th percentile19910578
Q119990715
median20040303
Q320130827
95-th percentile20200751
Maximum20220520
Range370112
Interquartile range (IQR)140112

Descriptive statistics

Standard deviation88786.591
Coefficient of variation (CV)0.0044271863
Kurtosis-0.9726009
Mean20054858
Median Absolute Deviation (MAD)60426
Skewness0.13468168
Sum5.1661314 × 1010
Variance7.8830588 × 109
MonotonicityNot monotonic
2023-12-11T04:53:40.306315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910415 33
 
1.3%
19910312 20
 
0.8%
20000407 8
 
0.3%
20000607 6
 
0.2%
20000428 6
 
0.2%
19910704 5
 
0.2%
20020111 5
 
0.2%
20081104 5
 
0.2%
20210526 5
 
0.2%
20010910 5
 
0.2%
Other values (1897) 2478
96.2%
ValueCountFrequency (%)
19850408 1
 
< 0.1%
19850701 3
0.1%
19850808 2
0.1%
19850831 4
0.2%
19850903 1
 
< 0.1%
19870330 1
 
< 0.1%
19870831 2
0.1%
19880204 1
 
< 0.1%
19880708 1
 
< 0.1%
19890119 1
 
< 0.1%
ValueCountFrequency (%)
20220520 1
 
< 0.1%
20220519 1
 
< 0.1%
20220504 1
 
< 0.1%
20220428 1
 
< 0.1%
20220427 1
 
< 0.1%
20220413 1
 
< 0.1%
20220412 3
0.1%
20220401 1
 
< 0.1%
20220329 2
0.1%
20220328 3
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2576
Missing (%)100.0%
Memory size22.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
3
1702 
1
839 
2
 
21
4
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1702
66.1%
1 839
32.6%
2 21
 
0.8%
4 14
 
0.5%

Length

2023-12-11T04:53:40.450399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:40.572777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1702
66.1%
1 839
32.6%
2 21
 
0.8%
4 14
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
폐업
1702 
영업/정상
839 
휴업
 
21
취소/말소/만료/정지/중지
 
14

Length

Max length14
Median length2
Mean length3.0423137
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1702
66.1%
영업/정상 839
32.6%
휴업 21
 
0.8%
취소/말소/만료/정지/중지 14
 
0.5%

Length

2023-12-11T04:53:40.690010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:40.796495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1702
66.1%
영업/정상 839
32.6%
휴업 21
 
0.8%
취소/말소/만료/정지/중지 14
 
0.5%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.624224
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:40.948100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.75
Q120
median40
Q340
95-th percentile40
Maximum71
Range70
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.755276
Coefficient of variation (CV)0.36032354
Kurtosis0.67883838
Mean32.624224
Median Absolute Deviation (MAD)0
Skewness-0.97787185
Sum84040
Variance138.1865
MonotonicityNot monotonic
2023-12-11T04:53:41.098663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
40 1702
66.1%
20 707
27.4%
1 129
 
5.0%
30 21
 
0.8%
70 13
 
0.5%
10 2
 
0.1%
71 1
 
< 0.1%
60 1
 
< 0.1%
ValueCountFrequency (%)
1 129
 
5.0%
10 2
 
0.1%
20 707
27.4%
30 21
 
0.8%
40 1702
66.1%
60 1
 
< 0.1%
70 13
 
0.5%
71 1
 
< 0.1%
ValueCountFrequency (%)
71 1
 
< 0.1%
70 13
 
0.5%
60 1
 
< 0.1%
40 1702
66.1%
30 21
 
0.8%
20 707
27.4%
10 2
 
0.1%
1 129
 
5.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
폐업
1702 
정상
707 
<NA>
 
129
휴업
 
21
취소
 
13
Other values (3)
 
4

Length

Max length8
Median length2
Mean length2.1048137
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1702
66.1%
정상 707
27.4%
<NA> 129
 
5.0%
휴업 21
 
0.8%
취소 13
 
0.5%
설립신청 2
 
0.1%
신청취소(취하) 1
 
< 0.1%
부분가동 1
 
< 0.1%

Length

2023-12-11T04:53:41.299696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:41.455490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1702
66.1%
정상 707
27.4%
na 129
 
5.0%
휴업 21
 
0.8%
취소 13
 
0.5%
설립신청 2
 
0.1%
신청취소(취하 1
 
< 0.1%
부분가동 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1001
Distinct (%)62.3%
Missing969
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean20099468
Minimum19910107
Maximum20220524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:41.647694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910107
5-th percentile20010555
Q120051212
median20090116
Q320150930
95-th percentile20210610
Maximum20220524
Range310417
Interquartile range (IQR)99718

Descriptive statistics

Standard deviation65191.669
Coefficient of variation (CV)0.0032434525
Kurtosis-0.80347916
Mean20099468
Median Absolute Deviation (MAD)49310
Skewness0.1885456
Sum3.2299845 × 1010
Variance4.2499537 × 109
MonotonicityNot monotonic
2023-12-11T04:53:41.882213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051212 55
 
2.1%
20060817 28
 
1.1%
20061109 25
 
1.0%
20060306 21
 
0.8%
20091217 19
 
0.7%
20080819 14
 
0.5%
20021022 13
 
0.5%
20020312 12
 
0.5%
20061113 12
 
0.5%
20020827 11
 
0.4%
Other values (991) 1397
54.2%
(Missing) 969
37.6%
ValueCountFrequency (%)
19910107 1
< 0.1%
19910312 1
< 0.1%
19911211 1
< 0.1%
19921227 1
< 0.1%
19930218 1
< 0.1%
19930426 1
< 0.1%
19930524 1
< 0.1%
19930723 1
< 0.1%
19930903 1
< 0.1%
19940105 1
< 0.1%
ValueCountFrequency (%)
20220524 1
< 0.1%
20220429 1
< 0.1%
20220413 1
< 0.1%
20220412 1
< 0.1%
20220330 1
< 0.1%
20220329 1
< 0.1%
20220328 1
< 0.1%
20220314 1
< 0.1%
20220210 1
< 0.1%
20220203 2
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)92.9%
Missing2534
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20135752
Minimum20060904
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:42.061360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060904
5-th percentile20061030
Q120090412
median20130924
Q320187883
95-th percentile20210796
Maximum20210831
Range149927
Interquartile range (IQR)97471

Descriptive statistics

Standard deviation52440.275
Coefficient of variation (CV)0.0026043366
Kurtosis-1.4619439
Mean20135752
Median Absolute Deviation (MAD)45263.5
Skewness0.11579457
Sum8.4570157 × 108
Variance2.7499824 × 109
MonotonicityNot monotonic
2023-12-11T04:53:42.277834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20140730 2
 
0.1%
20210601 2
 
0.1%
20110929 2
 
0.1%
20190919 1
 
< 0.1%
20100219 1
 
< 0.1%
20091130 1
 
< 0.1%
20171010 1
 
< 0.1%
20080923 1
 
< 0.1%
20180628 1
 
< 0.1%
20060905 1
 
< 0.1%
Other values (29) 29
 
1.1%
(Missing) 2534
98.4%
ValueCountFrequency (%)
20060904 1
< 0.1%
20060905 1
< 0.1%
20061030 1
< 0.1%
20061031 1
< 0.1%
20071218 1
< 0.1%
20080115 1
< 0.1%
20080923 1
< 0.1%
20080925 1
< 0.1%
20081009 1
< 0.1%
20090101 1
< 0.1%
ValueCountFrequency (%)
20210831 1
< 0.1%
20210827 1
< 0.1%
20210806 1
< 0.1%
20210610 1
< 0.1%
20210601 2
0.1%
20210330 1
< 0.1%
20191116 1
< 0.1%
20191016 1
< 0.1%
20190919 1
< 0.1%
20190301 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)85.7%
Missing2534
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean23949389
Minimum20061030
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:42.482522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061030
5-th percentile20071420
Q120100867
median20141231
Q320210733
95-th percentile20239836
Maximum99991231
Range79930201
Interquartile range (IQR)109865.5

Descriptive statistics

Standard deviation17209661
Coefficient of variation (CV)0.71858453
Kurtosis18.295864
Mean23949389
Median Absolute Deviation (MAD)41008.5
Skewness4.407463
Sum1.0058744 × 109
Variance2.9617242 × 1014
MonotonicityNot monotonic
2023-12-11T04:53:42.690426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20141231 3
 
0.1%
20181231 3
 
0.1%
20120429 2
 
0.1%
99991231 2
 
0.1%
20100330 1
 
< 0.1%
20180409 1
 
< 0.1%
20100115 1
 
< 0.1%
20220531 1
 
< 0.1%
20070314 1
 
< 0.1%
20101231 1
 
< 0.1%
Other values (26) 26
 
1.0%
(Missing) 2534
98.4%
ValueCountFrequency (%)
20061030 1
< 0.1%
20070314 1
< 0.1%
20070904 1
< 0.1%
20081231 1
< 0.1%
20090824 1
< 0.1%
20091008 1
< 0.1%
20091016 1
< 0.1%
20100115 1
< 0.1%
20100330 1
< 0.1%
20100430 1
< 0.1%
ValueCountFrequency (%)
99991231 2
0.1%
20240826 1
< 0.1%
20221021 1
< 0.1%
20220805 1
< 0.1%
20220531 1
< 0.1%
20220330 1
< 0.1%
20211209 1
< 0.1%
20211116 1
< 0.1%
20211016 1
< 0.1%
20210901 1
< 0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
<NA>
2571 
20141008
 
2
20121121
 
1
20100503
 
1
20181228
 
1

Length

Max length8
Median length4
Mean length4.007764
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2571
99.8%
20141008 2
 
0.1%
20121121 1
 
< 0.1%
20100503 1
 
< 0.1%
20181228 1
 
< 0.1%

Length

2023-12-11T04:53:42.917355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:43.361522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2571
99.8%
20141008 2
 
0.1%
20121121 1
 
< 0.1%
20100503 1
 
< 0.1%
20181228 1
 
< 0.1%

소재지전화
Text

MISSING 

Distinct1648
Distinct (%)88.0%
Missing704
Missing (%)27.3%
Memory size20.3 KiB
2023-12-11T04:53:43.756363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.997329
Min length3

Characters and Unicode

Total characters20587
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1455 ?
Unique (%)77.7%

Sample

1st row0534262131
2nd row053 2542666
3rd row053 4237504
4th row0534250770
5th row053 16680611
ValueCountFrequency (%)
053 1588
38.6%
768 12
 
0.3%
765 9
 
0.2%
621 9
 
0.2%
563 9
 
0.2%
383 9
 
0.2%
764 9
 
0.2%
744 9
 
0.2%
654 8
 
0.2%
354 8
 
0.2%
Other values (1817) 2439
59.4%
2023-12-11T04:53:44.402465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3671
17.8%
3 3042
14.8%
0 2807
13.6%
2255
11.0%
6 1520
7.4%
2 1491
7.2%
4 1437
 
7.0%
7 1222
 
5.9%
1 1202
 
5.8%
8 991
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18332
89.0%
Space Separator 2255
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3671
20.0%
3 3042
16.6%
0 2807
15.3%
6 1520
8.3%
2 1491
8.1%
4 1437
 
7.8%
7 1222
 
6.7%
1 1202
 
6.6%
8 991
 
5.4%
9 949
 
5.2%
Space Separator
ValueCountFrequency (%)
2255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20587
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3671
17.8%
3 3042
14.8%
0 2807
13.6%
2255
11.0%
6 1520
7.4%
2 1491
7.2%
4 1437
 
7.0%
7 1222
 
5.9%
1 1202
 
5.8%
8 991
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3671
17.8%
3 3042
14.8%
0 2807
13.6%
2255
11.0%
6 1520
7.4%
2 1491
7.2%
4 1437
 
7.0%
7 1222
 
5.9%
1 1202
 
5.8%
8 991
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2576
Missing (%)100.0%
Memory size22.8 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2576
Missing (%)100.0%
Memory size22.8 KiB

소재지전체주소
Text

MISSING 

Distinct889
Distinct (%)35.2%
Missing53
Missing (%)2.1%
Memory size20.3 KiB
2023-12-11T04:53:44.891594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length22.340071
Min length13

Characters and Unicode

Total characters56364
Distinct characters273
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique519 ?
Unique (%)20.6%

Sample

1st row대구광역시 중구 동인동*가 **-*
2nd row대구광역시 중구 종로*가 **-*
3rd row대구광역시 중구 남산동 ***-**번지
4th row대구광역시 중구 삼덕동*가 ***-*번지
5th row대구광역시 중구 삼덕동*가 ***-*
ValueCountFrequency (%)
대구광역시 2513
23.7%
번지 2027
19.1%
577
 
5.4%
달서구 400
 
3.8%
수성구 386
 
3.6%
동구 362
 
3.4%
북구 354
 
3.3%
서구 336
 
3.2%
중구 318
 
3.0%
남구 255
 
2.4%
Other values (343) 3082
29.0%
2023-12-11T04:53:45.490433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11752
20.9%
10665
18.9%
구 4957
8.8%
동 2917
 
5.2%
대 2834
 
5.0%
시 2548
 
4.5%
광 2520
 
4.5%
역 2515
 
4.5%
- 2209
 
3.9%
지 2108
 
3.7%
Other values (263) 11339
20.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31686
56.2%
Other Punctuation 11757
 
20.9%
Space Separator 10665
 
18.9%
Dash Punctuation 2209
 
3.9%
Uppercase Letter 27
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4957
15.6%
동 2917
 
9.2%
대 2834
 
8.9%
시 2548
 
8.0%
광 2520
 
8.0%
역 2515
 
7.9%
지 2108
 
6.7%
번 2027
 
6.4%
서 776
 
2.4%
성 636
 
2.0%
Other values (239) 7848
24.8%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 4
 
14.8%
C 3
 
11.1%
M 2
 
7.4%
J 1
 
3.7%
F 1
 
3.7%
H 1
 
3.7%
T 1
 
3.7%
P 1
 
3.7%
W 1
 
3.7%
Other values (2) 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
* 11752
> 99.9%
, 3
 
< 0.1%
. 1
 
< 0.1%
/ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 8
88.9%
] 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
10665
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31686
56.2%
Common 24650
43.7%
Latin 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4957
15.6%
동 2917
 
9.2%
대 2834
 
8.9%
시 2548
 
8.0%
광 2520
 
8.0%
역 2515
 
7.9%
지 2108
 
6.7%
번 2027
 
6.4%
서 776
 
2.4%
성 636
 
2.0%
Other values (239) 7848
24.8%
Latin
ValueCountFrequency (%)
B 10
35.7%
A 4
 
14.3%
C 3
 
10.7%
M 2
 
7.1%
J 1
 
3.6%
F 1
 
3.6%
H 1
 
3.6%
T 1
 
3.6%
P 1
 
3.6%
W 1
 
3.6%
Other values (3) 3
 
10.7%
Common
ValueCountFrequency (%)
* 11752
47.7%
10665
43.3%
- 2209
 
9.0%
( 8
 
< 0.1%
) 8
 
< 0.1%
, 3
 
< 0.1%
] 1
 
< 0.1%
. 1
 
< 0.1%
/ 1
 
< 0.1%
> 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31686
56.2%
ASCII 24678
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11752
47.6%
10665
43.2%
- 2209
 
9.0%
B 10
 
< 0.1%
( 8
 
< 0.1%
) 8
 
< 0.1%
A 4
 
< 0.1%
, 3
 
< 0.1%
C 3
 
< 0.1%
M 2
 
< 0.1%
Other values (14) 14
 
0.1%
Hangul
ValueCountFrequency (%)
구 4957
15.6%
동 2917
 
9.2%
대 2834
 
8.9%
시 2548
 
8.0%
광 2520
 
8.0%
역 2515
 
7.9%
지 2108
 
6.7%
번 2027
 
6.4%
서 776
 
2.4%
성 636
 
2.0%
Other values (239) 7848
24.8%

도로명전체주소
Text

MISSING 

Distinct1471
Distinct (%)71.4%
Missing517
Missing (%)20.1%
Memory size20.3 KiB
2023-12-11T04:53:45.895317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length25.937348
Min length19

Characters and Unicode

Total characters53405
Distinct characters338
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1144 ?
Unique (%)55.6%

Sample

1st row대구광역시 중구 국채보상로***길 *, *층 (동인동*가)
2nd row대구광역시 중구 *·**길 ** (남산동)
3rd row대구광역시 중구 종로 **-*, *층 ****호 (종로*가)
4th row대구광역시 중구 명륜로*길 *-** (남산동)
5th row대구광역시 중구 달구벌대로***길 ** (삼덕동*가)
ValueCountFrequency (%)
2063
19.1%
대구광역시 2059
19.0%
달서구 383
 
3.5%
수성구 321
 
3.0%
동구 282
 
2.6%
북구 254
 
2.3%
남구 247
 
2.3%
중구 245
 
2.3%
서구 241
 
2.2%
대명동 174
 
1.6%
Other values (868) 4557
42.1%
2023-12-11T04:53:46.545098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9330
17.5%
* 7947
14.9%
구 4232
 
7.9%
대 2686
 
5.0%
동 2644
 
5.0%
시 2099
 
3.9%
광 2078
 
3.9%
역 2062
 
3.9%
) 1990
 
3.7%
( 1990
 
3.7%
Other values (328) 16347
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31218
58.5%
Space Separator 9330
 
17.5%
Other Punctuation 8384
 
15.7%
Close Punctuation 1990
 
3.7%
Open Punctuation 1990
 
3.7%
Dash Punctuation 456
 
0.9%
Uppercase Letter 34
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4232
 
13.6%
대 2686
 
8.6%
동 2644
 
8.5%
시 2099
 
6.7%
광 2078
 
6.7%
역 2062
 
6.6%
로 1974
 
6.3%
길 980
 
3.1%
서 797
 
2.6%
성 666
 
2.1%
Other values (303) 11000
35.2%
Uppercase Letter
ValueCountFrequency (%)
A 8
23.5%
B 7
20.6%
M 3
 
8.8%
D 2
 
5.9%
C 2
 
5.9%
S 2
 
5.9%
J 2
 
5.9%
F 2
 
5.9%
L 1
 
2.9%
E 1
 
2.9%
Other values (4) 4
11.8%
Other Punctuation
ValueCountFrequency (%)
* 7947
94.8%
, 433
 
5.2%
· 3
 
< 0.1%
. 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
9330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1990
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1990
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 456
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31218
58.5%
Common 22152
41.5%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4232
 
13.6%
대 2686
 
8.6%
동 2644
 
8.5%
시 2099
 
6.7%
광 2078
 
6.7%
역 2062
 
6.6%
로 1974
 
6.3%
길 980
 
3.1%
서 797
 
2.6%
성 666
 
2.1%
Other values (303) 11000
35.2%
Latin
ValueCountFrequency (%)
A 8
22.9%
B 7
20.0%
M 3
 
8.6%
D 2
 
5.7%
C 2
 
5.7%
S 2
 
5.7%
J 2
 
5.7%
F 2
 
5.7%
L 1
 
2.9%
E 1
 
2.9%
Other values (5) 5
14.3%
Common
ValueCountFrequency (%)
9330
42.1%
* 7947
35.9%
) 1990
 
9.0%
( 1990
 
9.0%
- 456
 
2.1%
, 433
 
2.0%
· 3
 
< 0.1%
. 1
 
< 0.1%
< 1
 
< 0.1%
> 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31218
58.5%
ASCII 22184
41.5%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9330
42.1%
* 7947
35.8%
) 1990
 
9.0%
( 1990
 
9.0%
- 456
 
2.1%
, 433
 
2.0%
A 8
 
< 0.1%
B 7
 
< 0.1%
M 3
 
< 0.1%
D 2
 
< 0.1%
Other values (14) 18
 
0.1%
Hangul
ValueCountFrequency (%)
구 4232
 
13.6%
대 2686
 
8.6%
동 2644
 
8.5%
시 2099
 
6.7%
광 2078
 
6.7%
역 2062
 
6.6%
로 1974
 
6.3%
길 980
 
3.1%
서 797
 
2.6%
성 666
 
2.1%
Other values (303) 11000
35.2%
None
ValueCountFrequency (%)
· 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct718
Distinct (%)52.7%
Missing1213
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean268917.31
Minimum41007
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:46.742691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41162.2
Q141918.5
median42252
Q3703954.5
95-th percentile704948
Maximum711882
Range670875
Interquartile range (IQR)662036

Descriptive statistics

Standard deviation314434.63
Coefficient of variation (CV)1.1692614
Kurtosis-1.5613535
Mean268917.31
Median Absolute Deviation (MAD)722
Skewness0.66397504
Sum3.6653429 × 108
Variance9.8869136 × 1010
MonotonicityNot monotonic
2023-12-11T04:53:46.949330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 21
 
0.8%
704932 19
 
0.7%
704060 13
 
0.5%
704817 11
 
0.4%
42134 9
 
0.3%
704825 9
 
0.3%
42162 8
 
0.3%
704823 8
 
0.3%
704953 8
 
0.3%
42216 8
 
0.3%
Other values (708) 1249
48.5%
(Missing) 1213
47.1%
ValueCountFrequency (%)
41007 1
< 0.1%
41019 2
0.1%
41026 1
< 0.1%
41028 2
0.1%
41030 1
< 0.1%
41033 1
< 0.1%
41036 1
< 0.1%
41046 1
< 0.1%
41055 2
0.1%
41056 1
< 0.1%
ValueCountFrequency (%)
711882 1
 
< 0.1%
711874 2
0.1%
711863 1
 
< 0.1%
711860 1
 
< 0.1%
711856 1
 
< 0.1%
711854 1
 
< 0.1%
711845 1
 
< 0.1%
711834 2
0.1%
711833 3
0.1%
711830 2
0.1%

사업장명
Text

Distinct2048
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-11T04:53:47.372219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length5.6638199
Min length2

Characters and Unicode

Total characters14590
Distinct characters525
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1655 ?
Unique (%)64.2%

Sample

1st row디오컴퍼니
2nd row위드애드
3rd row오류(이중등록)
4th rowKS애드
5th row애플사인
ValueCountFrequency (%)
주식회사 62
 
2.2%
디자인 33
 
1.2%
광고회사 12
 
0.4%
광고기획 10
 
0.4%
애드 8
 
0.3%
하나광고 7
 
0.2%
주 6
 
0.2%
기획 6
 
0.2%
현대광고사 6
 
0.2%
factory 6
 
0.2%
Other values (2096) 2673
94.5%
2023-12-11T04:53:47.932147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1097
 
7.5%
고 1045
 
7.2%
사 657
 
4.5%
주 438
 
3.0%
인 436
 
3.0%
) 386
 
2.6%
( 382
 
2.6%
기 370
 
2.5%
디 350
 
2.4%
획 324
 
2.2%
Other values (515) 9105
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13148
90.1%
Close Punctuation 386
 
2.6%
Open Punctuation 382
 
2.6%
Uppercase Letter 289
 
2.0%
Space Separator 253
 
1.7%
Decimal Number 57
 
0.4%
Other Punctuation 36
 
0.2%
Lowercase Letter 34
 
0.2%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1097
 
8.3%
고 1045
 
7.9%
사 657
 
5.0%
주 438
 
3.3%
인 436
 
3.3%
기 370
 
2.8%
디 350
 
2.7%
획 324
 
2.5%
이 302
 
2.3%
드 269
 
2.0%
Other values (454) 7860
59.8%
Uppercase Letter
ValueCountFrequency (%)
S 26
 
9.0%
D 25
 
8.7%
C 22
 
7.6%
A 20
 
6.9%
N 19
 
6.6%
O 18
 
6.2%
M 17
 
5.9%
E 16
 
5.5%
Y 15
 
5.2%
I 14
 
4.8%
Other values (14) 97
33.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
14.7%
i 4
11.8%
s 4
11.8%
n 4
11.8%
g 3
8.8%
o 2
 
5.9%
b 2
 
5.9%
a 2
 
5.9%
r 1
 
2.9%
d 1
 
2.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
1 12
21.1%
2 12
21.1%
3 11
19.3%
0 9
15.8%
7 4
 
7.0%
5 4
 
7.0%
4 2
 
3.5%
8 1
 
1.8%
9 1
 
1.8%
6 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 17
47.2%
& 13
36.1%
" 2
 
5.6%
, 2
 
5.6%
· 1
 
2.8%
/ 1
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 382
100.0%
Space Separator
ValueCountFrequency (%)
253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13148
90.1%
Common 1119
 
7.7%
Latin 323
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1097
 
8.3%
고 1045
 
7.9%
사 657
 
5.0%
주 438
 
3.3%
인 436
 
3.3%
기 370
 
2.8%
디 350
 
2.7%
획 324
 
2.5%
이 302
 
2.3%
드 269
 
2.0%
Other values (454) 7860
59.8%
Latin
ValueCountFrequency (%)
S 26
 
8.0%
D 25
 
7.7%
C 22
 
6.8%
A 20
 
6.2%
N 19
 
5.9%
O 18
 
5.6%
M 17
 
5.3%
E 16
 
5.0%
Y 15
 
4.6%
I 14
 
4.3%
Other values (30) 131
40.6%
Common
ValueCountFrequency (%)
) 386
34.5%
( 382
34.1%
253
22.6%
. 17
 
1.5%
& 13
 
1.2%
1 12
 
1.1%
2 12
 
1.1%
3 11
 
1.0%
0 9
 
0.8%
7 4
 
0.4%
Other values (11) 20
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13148
90.1%
ASCII 1441
 
9.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1097
 
8.3%
고 1045
 
7.9%
사 657
 
5.0%
주 438
 
3.3%
인 436
 
3.3%
기 370
 
2.8%
디 350
 
2.7%
획 324
 
2.5%
이 302
 
2.3%
드 269
 
2.0%
Other values (454) 7860
59.8%
ASCII
ValueCountFrequency (%)
) 386
26.8%
( 382
26.5%
253
17.6%
S 26
 
1.8%
D 25
 
1.7%
C 22
 
1.5%
A 20
 
1.4%
N 19
 
1.3%
O 18
 
1.2%
M 17
 
1.2%
Other values (50) 273
18.9%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2505
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0118607 × 1013
Minimum1.9850701 × 1013
Maximum2.0220526 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:48.177780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9850701 × 1013
5-th percentile1.9950508 × 1013
Q12.007121 × 1013
median2.0130725 × 1013
Q32.0190802 × 1013
95-th percentile2.0210919 × 1013
Maximum2.0220526 × 1013
Range3.6982513 × 1011
Interquartile range (IQR)1.1959196 × 1011

Descriptive statistics

Standard deviation8.2654991 × 1010
Coefficient of variation (CV)0.0041083854
Kurtosis-0.050020048
Mean2.0118607 × 1013
Median Absolute Deviation (MAD)5.9692475 × 1010
Skewness-0.86074285
Sum5.1825531 × 1016
Variance6.8318475 × 1021
MonotonicityNot monotonic
2023-12-11T04:53:48.389670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910415000000 21
 
0.8%
20000407000000 4
 
0.2%
20000129000000 3
 
0.1%
19910329000000 3
 
0.1%
20000406000000 3
 
0.1%
20000428000000 3
 
0.1%
19910713000000 3
 
0.1%
19920212000000 2
 
0.1%
20010730000000 2
 
0.1%
19990408000000 2
 
0.1%
Other values (2495) 2530
98.2%
ValueCountFrequency (%)
19850701000000 2
0.1%
19850903000000 1
 
< 0.1%
19870831000000 1
 
< 0.1%
19880708000000 1
 
< 0.1%
19900710000000 1
 
< 0.1%
19910320000000 1
 
< 0.1%
19910321000000 1
 
< 0.1%
19910325000000 1
 
< 0.1%
19910329000000 3
0.1%
19910406000000 2
0.1%
ValueCountFrequency (%)
20220526132004 1
< 0.1%
20220524164606 1
< 0.1%
20220524103336 1
< 0.1%
20220524092356 1
< 0.1%
20220520085951 1
< 0.1%
20220518111221 1
< 0.1%
20220518094507 1
< 0.1%
20220517164240 1
< 0.1%
20220517105657 1
< 0.1%
20220516144946 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
I
1899 
U
677 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1899
73.7%
U 677
 
26.3%

Length

2023-12-11T04:53:48.584003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:48.733989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1899
73.7%
u 677
 
26.3%

데이터갱신일자
Date

Distinct441
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-28 02:40:00
2023-12-11T04:53:48.893715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:53:49.121939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2576
Missing (%)100.0%
Memory size22.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1856
Distinct (%)87.1%
Missing446
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean342819.36
Minimum204099.91
Maximum357984.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:49.361085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204099.91
5-th percentile334931.57
Q1340030.09
median343301.53
Q3345895.69
95-th percentile351567.26
Maximum357984.66
Range153884.75
Interquartile range (IQR)5865.5994

Descriptive statistics

Standard deviation6902.837
Coefficient of variation (CV)0.020135494
Kurtosis110.91572
Mean342819.36
Median Absolute Deviation (MAD)2945.2959
Skewness-7.3011438
Sum7.3020523 × 108
Variance47649159
MonotonicityNot monotonic
2023-12-11T04:53:49.598586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347600.95534 7
 
0.3%
345549.11017 6
 
0.2%
344912.358902 6
 
0.2%
348394.245106 6
 
0.2%
346678.067969 5
 
0.2%
344686.259338 5
 
0.2%
347123.859769 5
 
0.2%
346957.505642 4
 
0.2%
334931.565205 4
 
0.2%
343238.000081 3
 
0.1%
Other values (1846) 2079
80.7%
(Missing) 446
 
17.3%
ValueCountFrequency (%)
204099.910435955 1
 
< 0.1%
272048.425701 2
0.1%
272090.012398 3
0.1%
272109.126923 1
 
< 0.1%
272365.578438 1
 
< 0.1%
327646.719828 1
 
< 0.1%
328311.018298 1
 
< 0.1%
328432.256141 1
 
< 0.1%
328727.083338 1
 
< 0.1%
328879.899023 1
 
< 0.1%
ValueCountFrequency (%)
357984.664409 1
< 0.1%
357963.405909 1
< 0.1%
357934.27702 1
< 0.1%
356811.019382137 1
< 0.1%
356668.763448 1
< 0.1%
356354.333857 1
< 0.1%
356326.175134 1
< 0.1%
356197.467672 1
< 0.1%
355963.682846 1
< 0.1%
355893.403451 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1857
Distinct (%)87.2%
Missing446
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean263802.4
Minimum239689.77
Maximum448866.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-11T04:53:49.802524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239689.77
5-th percentile257926.15
Q1261404.48
median263426.59
Q3265327.01
95-th percentile269772.13
Maximum448866.37
Range209176.6
Interquartile range (IQR)3922.5283

Descriptive statistics

Standard deviation8987.3273
Coefficient of variation (CV)0.034068406
Kurtosis192.40493
Mean263802.4
Median Absolute Deviation (MAD)1954.3744
Skewness12.100409
Sum5.6189911 × 108
Variance80772052
MonotonicityNot monotonic
2023-12-11T04:53:49.983516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269860.486838 7
 
0.3%
268253.830253 6
 
0.2%
268620.845678 6
 
0.2%
264222.665286 6
 
0.2%
263958.880864 5
 
0.2%
266537.581353 5
 
0.2%
264683.827139 5
 
0.2%
265183.718118 4
 
0.2%
259242.528512 4
 
0.2%
264483.747831 3
 
0.1%
Other values (1847) 2079
80.7%
(Missing) 446
 
17.3%
ValueCountFrequency (%)
239689.772134 1
< 0.1%
240194.039275 1
< 0.1%
241425.48584 1
< 0.1%
242528.196096 2
0.1%
242553.0 1
< 0.1%
242610.962686 1
< 0.1%
243603.85282 1
< 0.1%
244175.0 1
< 0.1%
244203.0 1
< 0.1%
244223.605603 1
< 0.1%
ValueCountFrequency (%)
448866.372871866 1
 
< 0.1%
386080.358948 1
 
< 0.1%
385675.458397 1
 
< 0.1%
385221.514184 3
0.1%
385018.334086 2
0.1%
275960.486486 1
 
< 0.1%
274749.657016 2
0.1%
274283.354392 1
 
< 0.1%
274032.68864 1
 
< 0.1%
274028.639393 1
 
< 0.1%

영업내용
Text

MISSING 

Distinct649
Distinct (%)25.9%
Missing68
Missing (%)2.6%
Memory size20.3 KiB
2023-12-11T04:53:50.359152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length9.0514354
Min length1

Characters and Unicode

Total characters22701
Distinct characters275
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique488 ?
Unique (%)19.5%

Sample

1st row옥외광고물 제작 외
2nd row옥외광고물 제작
3rd row옥외광고업
4th row옥외광고업
5th row광고.간판
ValueCountFrequency (%)
제작 539
 
11.3%
광고물제작 463
 
9.7%
및 454
 
9.5%
옥외광고물제작 446
 
9.3%
옥외광고물 376
 
7.9%
옥외광고업 212
 
4.4%
설치 162
 
3.4%
광고대행 151
 
3.2%
대행 150
 
3.1%
광고물 138
 
2.9%
Other values (506) 1694
35.4%
2023-12-11T04:53:50.948344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 2412
10.6%
고 2399
10.6%
2268
 
10.0%
제 2053
 
9.0%
작 1952
 
8.6%
물 1817
 
8.0%
외 1381
 
6.1%
옥 1365
 
6.0%
, 544
 
2.4%
및 535
 
2.4%
Other values (265) 5975
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19424
85.6%
Space Separator 2268
 
10.0%
Other Punctuation 681
 
3.0%
Open Punctuation 96
 
0.4%
Close Punctuation 95
 
0.4%
Uppercase Letter 50
 
0.2%
Decimal Number 49
 
0.2%
Dash Punctuation 26
 
0.1%
Control 10
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 2412
12.4%
고 2399
12.4%
제 2053
10.6%
작 1952
10.0%
물 1817
 
9.4%
외 1381
 
7.1%
옥 1365
 
7.0%
및 535
 
2.8%
판 419
 
2.2%
업 406
 
2.1%
Other values (234) 4685
24.1%
Decimal Number
ValueCountFrequency (%)
0 15
30.6%
1 8
16.3%
2 8
16.3%
6 4
 
8.2%
3 4
 
8.2%
4 4
 
8.2%
5 3
 
6.1%
8 2
 
4.1%
9 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
E 13
26.0%
D 13
26.0%
L 13
26.0%
S 4
 
8.0%
P 4
 
8.0%
C 2
 
4.0%
N 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 544
79.9%
. 61
 
9.0%
: 44
 
6.5%
· 21
 
3.1%
/ 10
 
1.5%
？ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 95
99.0%
[ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 94
98.9%
] 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
2268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Control
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19424
85.6%
Common 3227
 
14.2%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 2412
12.4%
고 2399
12.4%
제 2053
10.6%
작 1952
10.0%
물 1817
 
9.4%
외 1381
 
7.1%
옥 1365
 
7.0%
및 535
 
2.8%
판 419
 
2.2%
업 406
 
2.1%
Other values (234) 4685
24.1%
Common
ValueCountFrequency (%)
2268
70.3%
, 544
 
16.9%
( 95
 
2.9%
) 94
 
2.9%
. 61
 
1.9%
: 44
 
1.4%
- 26
 
0.8%
· 21
 
0.7%
0 15
 
0.5%
/ 10
 
0.3%
Other values (14) 49
 
1.5%
Latin
ValueCountFrequency (%)
E 13
26.0%
D 13
26.0%
L 13
26.0%
S 4
 
8.0%
P 4
 
8.0%
C 2
 
4.0%
N 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19423
85.6%
ASCII 3255
 
14.3%
None 22
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 2412
12.4%
고 2399
12.4%
제 2053
10.6%
작 1952
10.0%
물 1817
 
9.4%
외 1381
 
7.1%
옥 1365
 
7.0%
및 535
 
2.8%
판 419
 
2.2%
업 406
 
2.1%
Other values (233) 4684
24.1%
ASCII
ValueCountFrequency (%)
2268
69.7%
, 544
 
16.7%
( 95
 
2.9%
) 94
 
2.9%
. 61
 
1.9%
: 44
 
1.4%
- 26
 
0.8%
0 15
 
0.5%
E 13
 
0.4%
D 13
 
0.4%
Other values (19) 82
 
2.5%
None
ValueCountFrequency (%)
· 21
95.5%
？ 1
 
4.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
01옥외광고업04_15_01_P3410000201934101270850000320191101<NA>3폐업40폐업20210901<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 **-*대구광역시 중구 국채보상로***길 *, *층 (동인동*가)41908디오컴퍼니20210901160307U2021-09-03 02:40:00.0<NA>345206.903293264425.850417옥외광고물 제작 외
12옥외광고업04_15_01_P3410000201934101270850000220190513<NA>3폐업40폐업20210126<NA><NA><NA>0534262131<NA><NA><NA>대구광역시 중구 *·**길 ** (남산동)41968위드애드20210126114353U2021-01-28 02:40:00.0<NA>343516.478139263246.517147옥외광고물 제작
23옥외광고업04_15_01_P3410000202134101530850000720211130<NA>3폐업40폐업20211130<NA><NA><NA><NA><NA><NA>대구광역시 중구 종로*가 **-*대구광역시 중구 종로 **-*, *층 ****호 (종로*가)41934오류(이중등록)20211216132120U2021-12-18 02:40:00.0<NA>343614.806882264466.012002옥외광고업
34옥외광고업04_15_01_P3410000200534100160820000720050613<NA>3폐업40폐업20061031<NA><NA><NA>053 2542666<NA><NA>대구광역시 중구 남산동 ***-**번지대구광역시 중구 명륜로*길 *-** (남산동)<NA>KS애드20130725154925I2018-08-31 23:59:59.0<NA>343431.165823263706.433306옥외광고업
45옥외광고업04_15_01_P3410000199934100160820000219990130<NA>3폐업40폐업20090116<NA><NA><NA>053 4237504<NA><NA>대구광역시 중구 삼덕동*가 ***-*번지대구광역시 중구 달구벌대로***길 ** (삼덕동*가)<NA>애플사인20090116115833I2018-08-31 23:59:59.0<NA>345164.494458263868.961281광고.간판
56옥외광고업04_15_01_P3410000202034101530850000320200710<NA>3폐업40폐업20210924<NA><NA><NA>0534250770<NA><NA>대구광역시 중구 삼덕동*가 ***-*대구광역시 중구 동덕로**길 ***, *층 (삼덕동*가)41946로엠커뮤니케이션20210930082157U2021-10-02 02:40:00.0<NA>345346.5541264067.373164인쇄물 및 옥외광고업
67옥외광고업04_15_01_P3410000201834101270850001120181010<NA>3폐업40폐업20191220<NA><NA><NA>053 16680611<NA><NA>대구광역시 중구 대봉동 *-*번지대구광역시 중구 동덕로**길 **, *층 (대봉동)41951(주)드로우(draw)20191231172957U2020-01-02 02:40:00.0<NA>345068.561037263467.715128간판 및 광고물 작성
78옥외광고업04_15_01_P3410000200234100160820000620020411<NA>3폐업40폐업20080926<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***-*번지<NA><NA>사인 MS20130725151135I2018-08-31 23:59:59.0<NA><NA><NA>간판제조
89옥외광고업04_15_01_P3410000200234100160820000720020515<NA>3폐업40폐업20061108<NA><NA><NA>053 2523456<NA><NA>대구광역시 중구 서문로*가 **-*번지<NA><NA>대신20130725154146I2018-08-31 23:59:59.0<NA><NA><NA>광고물 제작 및 설치
910옥외광고업04_15_01_P3410000200234100160820000820020909<NA>3폐업40폐업20060804<NA><NA><NA>005302566318<NA><NA>대구광역시 중구 삼덕동*가 ***-*번지<NA><NA>D&K 디자인20090810161122I2018-08-31 23:59:59.0<NA><NA><NA>간판, 실내인테리어
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
25662567옥외광고업04_15_01_P3480000201734802770850000120161014<NA>3폐업40폐업20180111<NA><NA><NA>053 611 5612<NA><NA>대구광역시 달성군 유가읍 금리 ****번지대구광역시 달성군 유가면 테크노중앙대로*길 **-**, *층43024디자인1번가20180111160424I2018-08-31 23:59:59.0<NA>331630.0242553.0옥내·외 광고물 기획 및 제작, 디자인 기획
25672568옥외광고업04_15_01_P3480000200734800900820000120070205<NA>3폐업40폐업20080619<NA><NA><NA>053 6113600<NA><NA>대구광역시 달성군 논공읍 금포리 ***-*번지대구광역시 달성군 논공읍 비슬로 ****<NA>포앰테크20080619185934I2018-08-31 23:59:59.0<NA>329214.669612254222.034897옥외광고물 제작.설치
25682569옥외광고업04_15_01_P3480000200734802870850000120071106<NA>3폐업40폐업20091103<NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 ***-**번지대구광역시 달성군 가창면 가창로***길 **711860주식회사 지애드20111031085036I2018-08-31 23:59:59.0<NA>346498.887536256644.6839옥외 광고물 제작 및 시공, 스크린 인쇄
25692570옥외광고업04_15_01_P3480000200934802870850000320170228<NA>3폐업40폐업20191125<NA><NA><NA>053 631 6400<NA><NA>대구광역시 달성군 화원읍 천내리 ***-*번지대구광역시 달성군 화원읍 성천로 ***, 매일광고 *층42948매일광고20191125094924U2019-11-27 02:40:00.0<NA>334966.101483257238.945915광고물제작, 설치
25702571옥외광고업04_15_01_P3480000201034802870850000120100412<NA>3폐업40폐업20180824<NA><NA><NA>0536110454<NA><NA>대구광역시 달성군 논공읍 금포리 ****-*번지대구광역시 달성군 논공읍 비슬로***길 **42975보은광고기획20180824171107I2018-08-31 23:59:59.0<NA>328311.018298252940.836113옥외광고물 제작 광고대행, 광고물 유지보수
25712572옥외광고업04_15_01_P3480000201034802870850000320101215<NA>3폐업40폐업20121030<NA><NA><NA>053 641 9075<NA><NA>대구광역시 달성군 화원읍 설화리 ***-*번지대구광역시 달성군 화원읍 설화본길 **<NA>이조기획20121105133320I2018-08-31 23:59:59.0<NA>334151.075175255867.065665옥외광고물제작
25722573옥외광고업04_15_01_P3480000201134802870850000120111118<NA>3폐업40폐업20191203<NA><NA><NA>053 270 9880<NA><NA>대구광역시 달성군 화원읍 천내리 ***-*번지대구광역시 달성군 화원읍 사문진로 ***-*711834엘이디샵20191203100707U2019-12-05 02:40:00.0<NA>334962.37345257180.630289LED 경관조명 및 간판
25732574옥외광고업04_15_01_P3480000201234802870850000120120924<NA>3폐업40폐업20150826<NA><NA><NA>0535849436<NA><NA>대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천로*길 **<NA>태왕기업20150827152537I2018-08-31 23:59:59.0<NA>332854.487916264528.243046옥외광고 외 전기공사
25742575옥외광고업04_15_01_P3480000201734802770850000320170322<NA>3폐업40폐업20191125<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 ***번지 그래피티기획대구광역시 달성군 현풍면 테크노대로 **, *층 (그래피티기획)43020그래피티기획20191125130350U2019-11-27 02:40:00.0<NA>331142.0244175.0옥외광고물 제작 설치, 광고 대행
25752576옥외광고업04_15_01_P3480000201734802770850000420170419<NA>3폐업40폐업20191031<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 ****-**번지대구광역시 달성군 다사읍 대실역북로*길 **-*, ***호 (그린하이츠)42911예나20191104093707U2019-11-06 02:40:00.0<NA>332293.610446263797.802367옥외전광판