Overview

Dataset statistics

Number of variables29
Number of observations2597
Missing cells19910
Missing cells (%)26.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.2 KiB
Average record size in memory250.1 B

Variable types

Numeric12
Categorical7
Unsupported4
Text5
DateTime1

Dataset

Description22년10월_6270000_대구광역시_04_15_01_P_옥외광고업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096912&dataSetDetailId=DDI_0000096908&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
상세영업상태명 is highly imbalanced (58.9%)Imbalance
재개업일자 is highly imbalanced (99.0%)Imbalance
인허가취소일자 has 2597 (100.0%) missing valuesMissing
폐업일자 has 964 (37.1%) missing valuesMissing
휴업시작일자 has 2551 (98.2%) missing valuesMissing
휴업종료일자 has 2552 (98.3%) missing valuesMissing
소재지전화 has 712 (27.4%) missing valuesMissing
소재지면적 has 2597 (100.0%) missing valuesMissing
소재지우편번호 has 2597 (100.0%) missing valuesMissing
소재지전체주소 has 53 (2.0%) missing valuesMissing
도로명전체주소 has 517 (19.9%) missing valuesMissing
도로명우편번호 has 1209 (46.6%) missing valuesMissing
업태구분명 has 2597 (100.0%) missing valuesMissing
좌표정보(X) has 447 (17.2%) missing valuesMissing
좌표정보(Y) has 447 (17.2%) missing valuesMissing
영업내용 has 70 (2.7%) 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 18:56:16.079843
Analysis finished2023-12-10 18:56:17.765847
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2597
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1299
Minimum1
Maximum2597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:17.988256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile130.8
Q1650
median1299
Q31948
95-th percentile2467.2
Maximum2597
Range2596
Interquartile range (IQR)1298

Descriptive statistics

Standard deviation749.83365
Coefficient of variation (CV)0.57723914
Kurtosis-1.2
Mean1299
Median Absolute Deviation (MAD)649
Skewness0
Sum3373503
Variance562250.5
MonotonicityStrictly increasing
2023-12-11T03:56:18.333439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1746 1
 
< 0.1%
1728 1
 
< 0.1%
1729 1
 
< 0.1%
1730 1
 
< 0.1%
1731 1
 
< 0.1%
1732 1
 
< 0.1%
1733 1
 
< 0.1%
1734 1
 
< 0.1%
1735 1
 
< 0.1%
Other values (2587) 2587
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 (%)
2597 1
< 0.1%
2596 1
< 0.1%
2595 1
< 0.1%
2594 1
< 0.1%
2593 1
< 0.1%
2592 1
< 0.1%
2591 1
< 0.1%
2590 1
< 0.1%
2589 1
< 0.1%
2588 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
옥외광고업
2597 

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 2597
100.0%

Length

2023-12-11T03:56:18.565321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:18.723895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥외광고업 2597
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
04_15_01_P
2597 

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 2597
100.0%

Length

2023-12-11T03:56:19.029763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:19.212103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_15_01_p 2597
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442872.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:19.369982image/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 deviation21382.953
Coefficient of variation (CV)0.0062107884
Kurtosis-1.2587072
Mean3442872.5
Median Absolute Deviation (MAD)20000
Skewness-0.051039717
Sum8.94114 × 109
Variance4.5723067 × 108
MonotonicityIncreasing
2023-12-11T03:56:19.592567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 416
16.0%
3470000 403
15.5%
3420000 371
14.3%
3450000 364
14.0%
3430000 345
13.3%
3410000 328
12.6%
3440000 267
10.3%
3480000 103
 
4.0%
ValueCountFrequency (%)
3410000 328
12.6%
3420000 371
14.3%
3430000 345
13.3%
3440000 267
10.3%
3450000 364
14.0%
3460000 416
16.0%
3470000 403
15.5%
3480000 103
 
4.0%
ValueCountFrequency (%)
3480000 103
 
4.0%
3470000 403
15.5%
3460000 416
16.0%
3450000 364
14.0%
3440000 267
10.3%
3430000 345
13.3%
3420000 371
14.3%
3410000 328
12.6%

관리번호
Real number (ℝ)

Distinct2593
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0051071 × 1018
Minimum1.985345 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:19.862321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.985345 × 1018
5-th percentile1.991344 × 1018
Q11.999343 × 1018
median2.003345 × 1018
Q32.012343 × 1018
95-th percentile2.020346 × 1018
Maximum2.022348 × 1018
Range3.7003032 × 1016
Interquartile range (IQR)1.3 × 1016

Descriptive statistics

Standard deviation8.7531595 × 1015
Coefficient of variation (CV)0.0043654324
Kurtosis-0.85989626
Mean2.0051071 × 1018
Median Absolute Deviation (MAD)5.9989976 × 1015
Skewness0.27981928
Sum5.2813014 × 1018
Variance7.6617801 × 1031
MonotonicityNot monotonic
2023-12-11T03:56:20.127935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341004708500001 3
 
0.1%
2006348009008200005 2
 
0.1%
2002345006108200003 2
 
0.1%
2020341015308500002 1
 
< 0.1%
2003346008508200030 1
 
< 0.1%
2003346005708200002 1
 
< 0.1%
2003346005708200003 1
 
< 0.1%
2003346005708200018 1
 
< 0.1%
2003346005708200019 1
 
< 0.1%
2003346005708200020 1
 
< 0.1%
Other values (2583) 2583
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 (%)
2022348032408500004 1
< 0.1%
2022348032408500003 1
< 0.1%
2022348032408500002 1
< 0.1%
2022348032408500001 1
< 0.1%
2022347019108500004 1
< 0.1%
2022347019108500003 1
< 0.1%
2022347019108500002 1
< 0.1%
2022347019108500001 1
< 0.1%
2022346011808500009 1
< 0.1%
2022346011808500008 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1922
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20056372
Minimum19850408
Maximum20221021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:20.726799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850408
5-th percentile19910603
Q119990730
median20040422
Q320131128
95-th percentile20201217
Maximum20221021
Range370613
Interquartile range (IQR)140398

Descriptive statistics

Standard deviation89884.73
Coefficient of variation (CV)0.0044816046
Kurtosis-0.98182791
Mean20056372
Median Absolute Deviation (MAD)60690
Skewness0.1394547
Sum5.2086399 × 1010
Variance8.0792647 × 109
MonotonicityNot monotonic
2023-12-11T03:56:21.009223image/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%
19910715 5
 
0.2%
20081104 5
 
0.2%
20020111 5
 
0.2%
20210526 5
 
0.2%
19910704 5
 
0.2%
Other values (1912) 2499
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 (%)
20221021 1
< 0.1%
20221012 1
< 0.1%
20220922 1
< 0.1%
20220902 1
< 0.1%
20220822 1
< 0.1%
20220803 1
< 0.1%
20220802 1
< 0.1%
20220801 1
< 0.1%
20220722 1
< 0.1%
20220720 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
3
1728 
1
831 
2
 
24
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 1728
66.5%
1 831
32.0%
2 24
 
0.9%
4 14
 
0.5%

Length

2023-12-11T03:56:21.301862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:21.519988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1728
66.5%
1 831
32.0%
2 24
 
0.9%
4 14
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
폐업
1728 
영업/정상
831 
휴업
 
24
취소/말소/만료/정지/중지
 
14

Length

Max length14
Median length2
Mean length3.0246438
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1728
66.5%
영업/정상 831
32.0%
휴업 24
 
0.9%
취소/말소/만료/정지/중지 14
 
0.5%

Length

2023-12-11T03:56:21.744873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:21.987607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1728
66.5%
영업/정상 831
32.0%
휴업 24
 
0.9%
취소/말소/만료/정지/중지 14
 
0.5%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.733924
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:22.134027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q120
median40
Q340
95-th percentile40
Maximum71
Range70
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.709753
Coefficient of variation (CV)0.35772531
Kurtosis0.74066866
Mean32.733924
Median Absolute Deviation (MAD)0
Skewness-1.0030828
Sum85010
Variance137.11831
MonotonicityNot monotonic
2023-12-11T03:56:22.353718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
40 1728
66.5%
20 699
26.9%
1 129
 
5.0%
30 24
 
0.9%
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%
20 699
26.9%
30 24
 
0.9%
40 1728
66.5%
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 1728
66.5%
30 24
 
0.9%
20 699
26.9%
10 2
 
0.1%
1 129
 
5.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
폐업
1728 
정상
699 
<NA>
 
129
휴업
 
24
취소
 
13
Other values (3)
 
4

Length

Max length8
Median length2
Mean length2.1039661
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1728
66.5%
정상 699
26.9%
<NA> 129
 
5.0%
휴업 24
 
0.9%
취소 13
 
0.5%
설립신청 2
 
0.1%
신청취소(취하) 1
 
< 0.1%
부분가동 1
 
< 0.1%

Length

2023-12-11T03:56:22.595638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:22.797936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1728
66.5%
정상 699
26.9%
na 129
 
5.0%
휴업 24
 
0.9%
취소 13
 
0.5%
설립신청 2
 
0.1%
신청취소(취하 1
 
< 0.1%
부분가동 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1023
Distinct (%)62.6%
Missing964
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean20101392
Minimum19910107
Maximum20221026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:23.046039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910107
5-th percentile20010627
Q120051212
median20090702
Q320160415
95-th percentile20210818
Maximum20221026
Range310919
Interquartile range (IQR)109203

Descriptive statistics

Standard deviation66418.289
Coefficient of variation (CV)0.0033041636
Kurtosis-0.84512823
Mean20101392
Median Absolute Deviation (MAD)49708
Skewness0.18461113
Sum3.2825574 × 1010
Variance4.4113891 × 109
MonotonicityNot monotonic
2023-12-11T03:56:23.305657image/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%
20061113 12
 
0.5%
20020312 12
 
0.5%
20020827 11
 
0.4%
Other values (1013) 1423
54.8%
(Missing) 964
37.1%
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 (%)
20221026 1
< 0.1%
20221012 1
< 0.1%
20221011 1
< 0.1%
20220816 1
< 0.1%
20220810 2
0.1%
20220808 1
< 0.1%
20220801 1
< 0.1%
20220727 1
< 0.1%
20220722 1
< 0.1%
20220721 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)91.3%
Missing2551
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean20143159
Minimum20060904
Maximum20221006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:23.503642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060904
5-th percentile20061030
Q120090440
median20140524
Q320191091
95-th percentile20220890
Maximum20221006
Range160102
Interquartile range (IQR)100650.5

Descriptive statistics

Standard deviation55627.875
Coefficient of variation (CV)0.0027616262
Kurtosis-1.5175392
Mean20143159
Median Absolute Deviation (MAD)50409
Skewness0.0015431061
Sum9.2658531 × 108
Variance3.0944605 × 109
MonotonicityNot monotonic
2023-12-11T03:56:23.727863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20140730 2
 
0.1%
20221006 2
 
0.1%
20210601 2
 
0.1%
20110929 2
 
0.1%
20060905 1
 
< 0.1%
20140318 1
 
< 0.1%
20100219 1
 
< 0.1%
20091130 1
 
< 0.1%
20171010 1
 
< 0.1%
20080923 1
 
< 0.1%
Other values (32) 32
 
1.2%
(Missing) 2551
98.2%
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 (%)
20221006 2
0.1%
20220915 1
< 0.1%
20220816 1
< 0.1%
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%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)86.7%
Missing2552
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean23701945
Minimum20061030
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:23.944723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061030
5-th percentile20072969
Q120101015
median20141231
Q320211116
95-th percentile20248897
Maximum99991231
Range79930201
Interquartile range (IQR)110101

Descriptive statistics

Standard deviation16638976
Coefficient of variation (CV)0.7020089
Kurtosis19.810209
Mean23701945
Median Absolute Deviation (MAD)50215
Skewness4.5749986
Sum1.0665875 × 109
Variance2.7685554 × 1014
MonotonicityNot monotonic
2023-12-11T03:56:24.172750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20141231 3
 
0.1%
20181231 3
 
0.1%
99991231 2
 
0.1%
20120429 2
 
0.1%
20101231 1
 
< 0.1%
20140917 1
 
< 0.1%
20100818 1
 
< 0.1%
20100330 1
 
< 0.1%
20180409 1
 
< 0.1%
20100115 1
 
< 0.1%
Other values (29) 29
 
1.1%
(Missing) 2552
98.3%
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%
20250915 1
< 0.1%
20240826 1
< 0.1%
20231231 1
< 0.1%
20231030 1
< 0.1%
20221021 1
< 0.1%
20220805 1
< 0.1%
20220531 1
< 0.1%
20220330 1
< 0.1%
20211209 1
< 0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2592 
20141008
 
2
20121121
 
1
20100503
 
1
20181228
 
1

Length

Max length8
Median length4
Mean length4.0077012
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> 2592
99.8%
20141008 2
 
0.1%
20121121 1
 
< 0.1%
20100503 1
 
< 0.1%
20181228 1
 
< 0.1%

Length

2023-12-11T03:56:24.400444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:24.606713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2592
99.8%
20141008 2
 
0.1%
20121121 1
 
< 0.1%
20100503 1
 
< 0.1%
20181228 1
 
< 0.1%

소재지전화
Text

MISSING 

Distinct1660
Distinct (%)88.1%
Missing712
Missing (%)27.4%
Memory size20.4 KiB
2023-12-11T03:56:24.931993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.991512
Min length3

Characters and Unicode

Total characters20719
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

Unique1468 ?
Unique (%)77.9%

Sample

1st row0534278997
2nd row053 2542666
3rd row053 475 3660
4th row053 4237504
5th row0534250770
ValueCountFrequency (%)
053 1589
38.5%
768 12
 
0.3%
765 9
 
0.2%
764 9
 
0.2%
563 9
 
0.2%
744 9
 
0.2%
621 9
 
0.2%
383 9
 
0.2%
428 8
 
0.2%
354 8
 
0.2%
Other values (1828) 2453
59.5%
2023-12-11T03:56:25.543669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3693
17.8%
3 3058
14.8%
0 2825
13.6%
2257
10.9%
6 1528
7.4%
2 1509
7.3%
4 1448
 
7.0%
7 1231
 
5.9%
1 1207
 
5.8%
8 998
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18462
89.1%
Space Separator 2257
 
10.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3693
20.0%
3 3058
16.6%
0 2825
15.3%
6 1528
8.3%
2 1509
8.2%
4 1448
 
7.8%
7 1231
 
6.7%
1 1207
 
6.5%
8 998
 
5.4%
9 965
 
5.2%
Space Separator
ValueCountFrequency (%)
2257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3693
17.8%
3 3058
14.8%
0 2825
13.6%
2257
10.9%
6 1528
7.4%
2 1509
7.3%
4 1448
 
7.0%
7 1231
 
5.9%
1 1207
 
5.8%
8 998
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3693
17.8%
3 3058
14.8%
0 2825
13.6%
2257
10.9%
6 1528
7.4%
2 1509
7.3%
4 1448
 
7.0%
7 1231
 
5.9%
1 1207
 
5.8%
8 998
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

소재지전체주소
Text

MISSING 

Distinct905
Distinct (%)35.6%
Missing53
Missing (%)2.0%
Memory size20.4 KiB
2023-12-11T03:56:26.041368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length22.268082
Min length13

Characters and Unicode

Total characters56650
Distinct characters278
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

Unique516 ?
Unique (%)20.3%

Sample

1st row대구광역시 중구 동산동 **-*
2nd row대구광역시 중구 남산동 ***-*
3rd row대구광역시 중구 종로*가 **-*
4th row대구광역시 중구 남산동 ***-**번지
5th row대구광역시 중구 동인동*가 ***-*
ValueCountFrequency (%)
대구광역시 2534
23.7%
번지 1953
18.3%
672
 
6.3%
달서구 403
 
3.8%
수성구 391
 
3.7%
동구 363
 
3.4%
북구 361
 
3.4%
서구 338
 
3.2%
중구 319
 
3.0%
남구 256
 
2.4%
Other values (347) 3107
29.0%
2023-12-11T03:56:26.717485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11832
20.9%
10753
19.0%
구 5002
8.8%
동 2939
 
5.2%
대 2858
 
5.0%
시 2571
 
4.5%
광 2541
 
4.5%
역 2536
 
4.5%
- 2224
 
3.9%
지 2034
 
3.6%
Other values (268) 11360
20.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31789
56.1%
Other Punctuation 11837
 
20.9%
Space Separator 10753
 
19.0%
Dash Punctuation 2224
 
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 5002
15.7%
동 2939
 
9.2%
대 2858
 
9.0%
시 2571
 
8.1%
광 2541
 
8.0%
역 2536
 
8.0%
지 2034
 
6.4%
번 1953
 
6.1%
서 781
 
2.5%
성 639
 
2.0%
Other values (244) 7935
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 4
 
14.8%
C 3
 
11.1%
M 2
 
7.4%
D 1
 
3.7%
J 1
 
3.7%
P 1
 
3.7%
W 1
 
3.7%
S 1
 
3.7%
H 1
 
3.7%
Other values (2) 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
* 11832
> 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 (%)
10753
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2224
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31789
56.1%
Common 24833
43.8%
Latin 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5002
15.7%
동 2939
 
9.2%
대 2858
 
9.0%
시 2571
 
8.1%
광 2541
 
8.0%
역 2536
 
8.0%
지 2034
 
6.4%
번 1953
 
6.1%
서 781
 
2.5%
성 639
 
2.0%
Other values (244) 7935
25.0%
Latin
ValueCountFrequency (%)
B 10
35.7%
A 4
 
14.3%
C 3
 
10.7%
M 2
 
7.1%
D 1
 
3.6%
c 1
 
3.6%
J 1
 
3.6%
P 1
 
3.6%
W 1
 
3.6%
S 1
 
3.6%
Other values (3) 3
 
10.7%
Common
ValueCountFrequency (%)
* 11832
47.6%
10753
43.3%
- 2224
 
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 31789
56.1%
ASCII 24861
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11832
47.6%
10753
43.3%
- 2224
 
8.9%
B 10
 
< 0.1%
) 8
 
< 0.1%
( 8
 
< 0.1%
A 4
 
< 0.1%
C 3
 
< 0.1%
, 3
 
< 0.1%
M 2
 
< 0.1%
Other values (14) 14
 
0.1%
Hangul
ValueCountFrequency (%)
구 5002
15.7%
동 2939
 
9.2%
대 2858
 
9.0%
시 2571
 
8.1%
광 2541
 
8.0%
역 2536
 
8.0%
지 2034
 
6.4%
번 1953
 
6.1%
서 781
 
2.5%
성 639
 
2.0%
Other values (244) 7935
25.0%

도로명전체주소
Text

MISSING 

Distinct1491
Distinct (%)71.7%
Missing517
Missing (%)19.9%
Memory size20.4 KiB
2023-12-11T03:56:27.176661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length25.985577
Min length19

Characters and Unicode

Total characters54050
Distinct characters340
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

Unique1161 ?
Unique (%)55.8%

Sample

1st row대구광역시 중구 국채보상로 ***, *층 ****호 (동산동)
2nd row대구광역시 중구 남산로*길 *** (남산동)
3rd row대구광역시 중구 종로 **-*, *층 ****호 (종로*가)
4th row대구광역시 중구 명륜로*길 *-** (남산동)
5th row대구광역시 중구 동덕로**길 *** (동인동*가)
ValueCountFrequency (%)
2084
19.0%
대구광역시 2080
19.0%
달서구 387
 
3.5%
수성구 326
 
3.0%
동구 283
 
2.6%
북구 259
 
2.4%
남구 249
 
2.3%
중구 246
 
2.2%
서구 243
 
2.2%
대명동 175
 
1.6%
Other values (876) 4630
42.2%
2023-12-11T03:56:27.919996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9442
17.5%
* 8051
14.9%
구 4278
 
7.9%
대 2710
 
5.0%
동 2671
 
4.9%
시 2121
 
3.9%
광 2098
 
3.9%
역 2083
 
3.9%
) 2010
 
3.7%
( 2010
 
3.7%
Other values (330) 16576
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31583
58.4%
Space Separator 9442
 
17.5%
Other Punctuation 8509
 
15.7%
Close Punctuation 2010
 
3.7%
Open Punctuation 2010
 
3.7%
Dash Punctuation 459
 
0.8%
Uppercase Letter 34
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4278
 
13.5%
대 2710
 
8.6%
동 2671
 
8.5%
시 2121
 
6.7%
광 2098
 
6.6%
역 2083
 
6.6%
로 1994
 
6.3%
길 991
 
3.1%
서 804
 
2.5%
성 669
 
2.1%
Other values (305) 11164
35.3%
Uppercase Letter
ValueCountFrequency (%)
A 8
23.5%
B 7
20.6%
M 3
 
8.8%
D 2
 
5.9%
S 2
 
5.9%
F 2
 
5.9%
C 2
 
5.9%
J 2
 
5.9%
E 1
 
2.9%
L 1
 
2.9%
Other values (4) 4
11.8%
Other Punctuation
ValueCountFrequency (%)
* 8051
94.6%
, 454
 
5.3%
· 3
 
< 0.1%
. 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
9442
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2010
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2010
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 459
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31583
58.4%
Common 22432
41.5%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4278
 
13.5%
대 2710
 
8.6%
동 2671
 
8.5%
시 2121
 
6.7%
광 2098
 
6.6%
역 2083
 
6.6%
로 1994
 
6.3%
길 991
 
3.1%
서 804
 
2.5%
성 669
 
2.1%
Other values (305) 11164
35.3%
Latin
ValueCountFrequency (%)
A 8
22.9%
B 7
20.0%
M 3
 
8.6%
D 2
 
5.7%
S 2
 
5.7%
F 2
 
5.7%
C 2
 
5.7%
J 2
 
5.7%
E 1
 
2.9%
L 1
 
2.9%
Other values (5) 5
14.3%
Common
ValueCountFrequency (%)
9442
42.1%
* 8051
35.9%
) 2010
 
9.0%
( 2010
 
9.0%
- 459
 
2.0%
, 454
 
2.0%
· 3
 
< 0.1%
< 1
 
< 0.1%
> 1
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31583
58.4%
ASCII 22464
41.6%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9442
42.0%
* 8051
35.8%
) 2010
 
8.9%
( 2010
 
8.9%
- 459
 
2.0%
, 454
 
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 4278
 
13.5%
대 2710
 
8.6%
동 2671
 
8.5%
시 2121
 
6.7%
광 2098
 
6.6%
역 2083
 
6.6%
로 1994
 
6.3%
길 991
 
3.1%
서 804
 
2.5%
성 669
 
2.1%
Other values (305) 11164
35.3%
None
ValueCountFrequency (%)
· 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct727
Distinct (%)52.4%
Missing1209
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean262924.1
Minimum41007
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:28.147550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41162.7
Q141906
median42250
Q3703830.75
95-th percentile704948
Maximum711882
Range670875
Interquartile range (IQR)661924.75

Descriptive statistics

Standard deviation312385.45
Coefficient of variation (CV)1.1881203
Kurtosis-1.5025686
Mean262924.1
Median Absolute Deviation (MAD)717.5
Skewness0.70676805
Sum3.6493865 × 108
Variance9.7584669 × 1010
MonotonicityNot monotonic
2023-12-11T03:56:28.380815image/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%
42216 8
 
0.3%
41904 8
 
0.3%
42162 8
 
0.3%
704953 8
 
0.3%
Other values (717) 1274
49.1%
(Missing) 1209
46.6%
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

Distinct2064
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
2023-12-11T03:56:28.841074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length5.6669234
Min length2

Characters and Unicode

Total characters14717
Distinct characters527
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

Unique1667 ?
Unique (%)64.2%

Sample

1st row공감
2nd row주식회사 디엔디
3rd row오류(이중등록)
4th rowKS애드
5th row코리아애드컴
ValueCountFrequency (%)
주식회사 65
 
2.3%
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%
하나광고사 5
 
0.2%
Other values (2113) 2695
94.5%
2023-12-11T03:56:29.598854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1099
 
7.5%
고 1047
 
7.1%
사 659
 
4.5%
인 444
 
3.0%
주 443
 
3.0%
) 389
 
2.6%
( 385
 
2.6%
기 371
 
2.5%
디 360
 
2.4%
획 324
 
2.2%
Other values (517) 9196
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13273
90.2%
Close Punctuation 389
 
2.6%
Open Punctuation 385
 
2.6%
Uppercase Letter 282
 
1.9%
Space Separator 256
 
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 1099
 
8.3%
고 1047
 
7.9%
사 659
 
5.0%
인 444
 
3.3%
주 443
 
3.3%
기 371
 
2.8%
디 360
 
2.7%
획 324
 
2.4%
이 307
 
2.3%
드 272
 
2.0%
Other values (456) 7947
59.9%
Uppercase Letter
ValueCountFrequency (%)
S 26
 
9.2%
D 25
 
8.9%
C 21
 
7.4%
N 19
 
6.7%
A 19
 
6.7%
O 17
 
6.0%
M 17
 
6.0%
E 16
 
5.7%
L 14
 
5.0%
Y 14
 
5.0%
Other values (14) 94
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
14.7%
n 4
11.8%
s 4
11.8%
i 4
11.8%
g 3
8.8%
b 2
 
5.9%
o 2
 
5.9%
a 2
 
5.9%
x 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%
5 4
 
7.0%
7 4
 
7.0%
4 2
 
3.5%
9 1
 
1.8%
8 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 (%)
) 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 385
100.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13273
90.2%
Common 1128
 
7.7%
Latin 316
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1099
 
8.3%
고 1047
 
7.9%
사 659
 
5.0%
인 444
 
3.3%
주 443
 
3.3%
기 371
 
2.8%
디 360
 
2.7%
획 324
 
2.4%
이 307
 
2.3%
드 272
 
2.0%
Other values (456) 7947
59.9%
Latin
ValueCountFrequency (%)
S 26
 
8.2%
D 25
 
7.9%
C 21
 
6.6%
N 19
 
6.0%
A 19
 
6.0%
O 17
 
5.4%
M 17
 
5.4%
E 16
 
5.1%
L 14
 
4.4%
Y 14
 
4.4%
Other values (30) 128
40.5%
Common
ValueCountFrequency (%)
) 389
34.5%
( 385
34.1%
256
22.7%
. 17
 
1.5%
& 13
 
1.2%
1 12
 
1.1%
2 12
 
1.1%
3 11
 
1.0%
0 9
 
0.8%
5 4
 
0.4%
Other values (11) 20
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13273
90.2%
ASCII 1443
 
9.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1099
 
8.3%
고 1047
 
7.9%
사 659
 
5.0%
인 444
 
3.3%
주 443
 
3.3%
기 371
 
2.8%
디 360
 
2.7%
획 324
 
2.4%
이 307
 
2.3%
드 272
 
2.0%
Other values (456) 7947
59.9%
ASCII
ValueCountFrequency (%)
) 389
27.0%
( 385
26.7%
256
17.7%
S 26
 
1.8%
D 25
 
1.7%
C 21
 
1.5%
N 19
 
1.3%
A 19
 
1.3%
O 17
 
1.2%
M 17
 
1.2%
Other values (50) 269
18.6%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2526
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0120972 × 1013
Minimum1.9850701 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:29.866688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9850701 × 1013
5-th percentile1.9950523 × 1013
Q12.007121 × 1013
median2.0130725 × 1013
Q32.0191204 × 1013
95-th percentile2.0220701 × 1013
Maximum2.0221031 × 1013
Range3.7033011 × 1011
Interquartile range (IQR)1.1999403 × 1011

Descriptive statistics

Standard deviation8.4215441 × 1010
Coefficient of variation (CV)0.004185456
Kurtosis-0.11023244
Mean2.0120972 × 1013
Median Absolute Deviation (MAD)5.9908998 × 1010
Skewness-0.82693125
Sum5.2254164 × 1016
Variance7.0922405 × 1021
MonotonicityNot monotonic
2023-12-11T03:56:30.127161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910415000000 21
 
0.8%
20000407000000 4
 
0.2%
20000406000000 3
 
0.1%
20000428000000 3
 
0.1%
20000129000000 3
 
0.1%
19910329000000 3
 
0.1%
19910713000000 3
 
0.1%
19930614000000 2
 
0.1%
20010217000000 2
 
0.1%
19990408000000 2
 
0.1%
Other values (2516) 2551
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 (%)
20221031111804 1
< 0.1%
20221031111144 1
< 0.1%
20221027103118 1
< 0.1%
20221025151617 1
< 0.1%
20221021160511 1
< 0.1%
20221021133849 1
< 0.1%
20221013113130 1
< 0.1%
20221012165127 1
< 0.1%
20221012110530 1
< 0.1%
20221011154636 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
I
1862 
U
735 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1862
71.7%
U 735
 
28.3%

Length

2023-12-11T03:56:30.351201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:30.501855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1862
71.7%
u 735
 
28.3%

데이터갱신일자
Date

Distinct467
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 02:40:00
2023-12-11T03:56:30.698201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:31.363884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2597
Missing (%)100.0%
Memory size23.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1877
Distinct (%)87.3%
Missing447
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean342817.74
Minimum204099.91
Maximum357984.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:31.572117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204099.91
5-th percentile334931.57
Q1340012.55
median343297.55
Q3345895.69
95-th percentile351558.41
Maximum357984.66
Range153884.75
Interquartile range (IQR)5883.1373

Descriptive statistics

Standard deviation6890.1403
Coefficient of variation (CV)0.020098553
Kurtosis110.69353
Mean342817.74
Median Absolute Deviation (MAD)2953.9402
Skewness-7.269995
Sum7.3705813 × 108
Variance47474034
MonotonicityNot monotonic
2023-12-11T03:56:31.822093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347600.95534 7
 
0.3%
348394.245106 6
 
0.2%
345549.11017 6
 
0.2%
344912.358902 6
 
0.2%
344686.259338 5
 
0.2%
347123.859769 5
 
0.2%
346678.067969 5
 
0.2%
346957.505642 4
 
0.2%
334931.565205 4
 
0.2%
355269.124698 3
 
0.1%
Other values (1867) 2099
80.8%
(Missing) 447
 
17.2%
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%
357888.724162 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%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1878
Distinct (%)87.3%
Missing447
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean263797.5
Minimum239689.77
Maximum448866.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2023-12-11T03:56:32.095645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239689.77
5-th percentile257922.75
Q1261370.45
median263423.28
Q3265332.58
95-th percentile269860.49
Maximum448866.37
Range209176.6
Interquartile range (IQR)3962.1307

Descriptive statistics

Standard deviation8953.7662
Coefficient of variation (CV)0.033941816
Kurtosis193.52727
Mean263797.5
Median Absolute Deviation (MAD)1960.6786
Skewness12.124166
Sum5.6716463 × 108
Variance80169929
MonotonicityNot monotonic
2023-12-11T03:56:32.343592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269860.486838 7
 
0.3%
264222.665286 6
 
0.2%
268620.845678 6
 
0.2%
268253.830253 6
 
0.2%
263958.880864 5
 
0.2%
266537.581353 5
 
0.2%
264683.827139 5
 
0.2%
259242.528512 4
 
0.2%
265183.718118 4
 
0.2%
264646.466329 3
 
0.1%
Other values (1868) 2099
80.8%
(Missing) 447
 
17.2%
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 

Distinct659
Distinct (%)26.1%
Missing70
Missing (%)2.7%
Memory size20.4 KiB
2023-12-11T03:56:32.802058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length9.0933914
Min length1

Characters and Unicode

Total characters22979
Distinct characters284
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

Unique492 ?
Unique (%)19.5%

Sample

1st row옥외광고물 제작, 시공, 통신판매 등
2nd row옥외광고, 디자인
3rd row옥외광고업
4th row옥외광고업
5th rowLED전광판, 채널문자 제조 간판 및 광고물제작
ValueCountFrequency (%)
제작 548
 
11.3%
광고물제작 464
 
9.6%
및 462
 
9.5%
옥외광고물제작 446
 
9.2%
옥외광고물 379
 
7.8%
옥외광고업 214
 
4.4%
설치 166
 
3.4%
광고대행 153
 
3.1%
대행 150
 
3.1%
광고물 140
 
2.9%
Other values (515) 1736
35.7%
2023-12-11T03:56:33.507318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 2430
 
10.6%
고 2417
 
10.5%
2321
 
10.1%
제 2066
 
9.0%
작 1963
 
8.5%
물 1826
 
7.9%
외 1392
 
6.1%
옥 1376
 
6.0%
, 558
 
2.4%
및 543
 
2.4%
Other values (274) 6087
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19627
85.4%
Space Separator 2321
 
10.1%
Other Punctuation 695
 
3.0%
Open Punctuation 99
 
0.4%
Close Punctuation 98
 
0.4%
Uppercase Letter 51
 
0.2%
Decimal Number 49
 
0.2%
Dash Punctuation 26
 
0.1%
Control 11
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 2430
12.4%
고 2417
12.3%
제 2066
10.5%
작 1963
10.0%
물 1826
 
9.3%
외 1392
 
7.1%
옥 1376
 
7.0%
및 543
 
2.8%
판 427
 
2.2%
업 411
 
2.1%
Other values (242) 4776
24.3%
Decimal Number
ValueCountFrequency (%)
0 15
30.6%
2 8
16.3%
1 8
16.3%
3 4
 
8.2%
4 4
 
8.2%
6 4
 
8.2%
5 3
 
6.1%
8 2
 
4.1%
9 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
D 13
25.5%
L 13
25.5%
E 13
25.5%
S 4
 
7.8%
P 4
 
7.8%
C 2
 
3.9%
N 1
 
2.0%
X 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 558
80.3%
. 61
 
8.8%
: 44
 
6.3%
· 21
 
3.0%
/ 10
 
1.4%
？ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 98
99.0%
[ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 97
99.0%
] 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
2321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Control
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19627
85.4%
Common 3301
 
14.4%
Latin 51
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 2430
12.4%
고 2417
12.3%
제 2066
10.5%
작 1963
10.0%
물 1826
 
9.3%
외 1392
 
7.1%
옥 1376
 
7.0%
및 543
 
2.8%
판 427
 
2.2%
업 411
 
2.1%
Other values (242) 4776
24.3%
Common
ValueCountFrequency (%)
2321
70.3%
, 558
 
16.9%
( 98
 
3.0%
) 97
 
2.9%
. 61
 
1.8%
: 44
 
1.3%
- 26
 
0.8%
· 21
 
0.6%
0 15
 
0.5%
11
 
0.3%
Other values (14) 49
 
1.5%
Latin
ValueCountFrequency (%)
D 13
25.5%
L 13
25.5%
E 13
25.5%
S 4
 
7.8%
P 4
 
7.8%
C 2
 
3.9%
N 1
 
2.0%
X 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19626
85.4%
ASCII 3330
 
14.5%
None 22
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 2430
12.4%
고 2417
12.3%
제 2066
10.5%
작 1963
10.0%
물 1826
 
9.3%
외 1392
 
7.1%
옥 1376
 
7.0%
및 543
 
2.8%
판 427
 
2.2%
업 411
 
2.1%
Other values (241) 4775
24.3%
ASCII
ValueCountFrequency (%)
2321
69.7%
, 558
 
16.8%
( 98
 
2.9%
) 97
 
2.9%
. 61
 
1.8%
: 44
 
1.3%
- 26
 
0.8%
0 15
 
0.5%
D 13
 
0.4%
L 13
 
0.4%
Other values (20) 84
 
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_P3410000202034101530850000220200214<NA>3폐업40폐업20220810<NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 **-*대구광역시 중구 국채보상로 ***, *층 ****호 (동산동)41921공감20220811180649U2022-08-13 02:40:00.0<NA>342983.980987264559.497125옥외광고물 제작, 시공, 통신판매 등
12옥외광고업04_15_01_P3410000201834101270850000720180813<NA>3폐업40폐업20221026<NA><NA><NA>0534278997<NA><NA>대구광역시 중구 남산동 ***-*대구광역시 중구 남산로*길 *** (남산동)41969주식회사 디엔디20221025151617U2022-10-27 02:40:00.0<NA>343221.52878263697.108261옥외광고, 디자인
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_P3410000200934100470850000720091015<NA>3폐업40폐업20220810<NA><NA><NA>053 475 3660<NA><NA>대구광역시 중구 동인동*가 ***-*대구광역시 중구 동덕로**길 *** (동인동*가)41907코리아애드컴20220811180810U2022-08-13 02:40:00.0<NA>345427.925745264429.472837LED전광판, 채널문자 제조 간판 및 광고물제작
56옥외광고업04_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
67옥외광고업04_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
78옥외광고업04_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
89옥외광고업04_15_01_P3410000200234100160820000920020930<NA>3폐업40폐업20080926<NA><NA><NA>053 322 2975<NA><NA>대구광역시 중구 삼덕동*가 ***-*<NA><NA>제이디자인기획20130725154225I2018-08-31 23:59:59.0<NA><NA><NA>광고물제작
910옥외광고업04_15_01_P3410000200234100160820001020020930<NA>3폐업40폐업20030210<NA><NA><NA>053 6355555<NA><NA>대구광역시 중구 남산동 ****-**<NA><NA>국제전광20130725154333I2018-08-31 23:59:59.0<NA><NA><NA>간판제작
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
25872588옥외광고업04_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
25882589옥외광고업04_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
25892590옥외광고업04_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
25902591옥외광고업04_15_01_P3480000200934802870850000120090218<NA>3폐업40폐업20220608<NA><NA><NA>053 615 4711<NA><NA>대구광역시 달성군 논공읍 남리 ***-**대구광역시 달성군 논공읍 논공로 ***<NA>성심종합광고기획20220610094014U2022-06-12 02:40:00.0<NA>329730.035818248403.366948옥외광고물 제작 및 설치
25912592옥외광고업04_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
25922593옥외광고업04_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
25932594옥외광고업04_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
25942595옥외광고업04_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
25952596옥외광고업04_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
25962597옥외광고업04_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