Overview

Dataset statistics

Number of variables29
Number of observations2581
Missing cells19825
Missing cells (%)26.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory630.3 KiB
Average record size in memory250.1 B

Variable types

Numeric12
Categorical7
Unsupported4
Text5
DateTime1

Dataset

Description22년06월_6270000_대구광역시_04_15_01_P_옥외광고업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093911&dataSetDetailId=DDI_0000093906&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 2581 (100.0%) missing valuesMissing
폐업일자 has 968 (37.5%) missing valuesMissing
휴업시작일자 has 2539 (98.4%) missing valuesMissing
휴업종료일자 has 2539 (98.4%) missing valuesMissing
소재지전화 has 710 (27.5%) missing valuesMissing
소재지면적 has 2581 (100.0%) missing valuesMissing
소재지우편번호 has 2581 (100.0%) missing valuesMissing
소재지전체주소 has 55 (2.1%) missing valuesMissing
도로명전체주소 has 517 (20.0%) missing valuesMissing
도로명우편번호 has 1212 (47.0%) missing valuesMissing
업태구분명 has 2581 (100.0%) missing valuesMissing
좌표정보(X) has 446 (17.3%) missing valuesMissing
좌표정보(Y) has 446 (17.3%) missing valuesMissing
영업내용 has 69 (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 started2024-04-19 06:25:46.129160
Analysis finished2024-04-19 06:25:47.214249
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2581
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1291
Minimum1
Maximum2581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:47.288989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile130
Q1646
median1291
Q31936
95-th percentile2452
Maximum2581
Range2580
Interquartile range (IQR)1290

Descriptive statistics

Standard deviation745.21485
Coefficient of variation (CV)0.57723846
Kurtosis-1.2
Mean1291
Median Absolute Deviation (MAD)645
Skewness0
Sum3332071
Variance555345.17
MonotonicityStrictly increasing
2024-04-19T15:25:47.448924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1696 1
 
< 0.1%
1718 1
 
< 0.1%
1719 1
 
< 0.1%
1720 1
 
< 0.1%
1721 1
 
< 0.1%
1722 1
 
< 0.1%
1723 1
 
< 0.1%
1724 1
 
< 0.1%
1725 1
 
< 0.1%
Other values (2571) 2571
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 (%)
2581 1
< 0.1%
2580 1
< 0.1%
2579 1
< 0.1%
2578 1
< 0.1%
2577 1
< 0.1%
2576 1
< 0.1%
2575 1
< 0.1%
2574 1
< 0.1%
2573 1
< 0.1%
2572 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
옥외광고업
2581 

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 2581
100.0%

Length

2024-04-19T15:25:47.592167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:47.685137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥외광고업 2581
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
04_15_01_P
2581 

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 2581
100.0%

Length

2024-04-19T15:25:47.786661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:47.887066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_15_01_p 2581
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442805.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:47.980425image/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 deviation21397.774
Coefficient of variation (CV)0.0062152149
Kurtosis-1.2611362
Mean3442805.1
Median Absolute Deviation (MAD)20000
Skewness-0.046478944
Sum8.88588 × 109
Variance4.5786472 × 108
MonotonicityIncreasing
2024-04-19T15:25:48.101650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 412
16.0%
3470000 400
15.5%
3420000 370
14.3%
3450000 360
13.9%
3430000 344
13.3%
3410000 328
12.7%
3440000 265
10.3%
3480000 102
 
4.0%
ValueCountFrequency (%)
3410000 328
12.7%
3420000 370
14.3%
3430000 344
13.3%
3440000 265
10.3%
3450000 360
13.9%
3460000 412
16.0%
3470000 400
15.5%
3480000 102
 
4.0%
ValueCountFrequency (%)
3480000 102
 
4.0%
3470000 400
15.5%
3460000 412
16.0%
3450000 360
13.9%
3440000 265
10.3%
3430000 344
13.3%
3420000 370
14.3%
3410000 328
12.7%

관리번호
Real number (ℝ)

Distinct2577
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0050002 × 1018
Minimum1.985345 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:48.238636image/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 percentile2.020345 × 1018
Maximum2.022348 × 1018
Range3.7003032 × 1016
Interquartile range (IQR)1.2999009 × 1016

Descriptive statistics

Standard deviation8.6740234 × 1015
Coefficient of variation (CV)0.0043261957
Kurtosis-0.85097111
Mean2.0050002 × 1018
Median Absolute Deviation (MAD)5.998996 × 1015
Skewness0.27760829
Sum-8.6294808 × 1018
Variance7.5238681 × 1031
MonotonicityNot monotonic
2024-04-19T15:25:48.384777image/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%
2001346005708200022 1
 
< 0.1%
2003346008508200030 1
 
< 0.1%
2003346008508500004 1
 
< 0.1%
2003346008508500016 1
 
< 0.1%
2003346008508500026 1
 
< 0.1%
2001346005708200020 1
 
< 0.1%
2001346005708200021 1
 
< 0.1%
Other values (2567) 2567
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%
2022347019108500001 1
< 0.1%
2022346011808500005 1
< 0.1%
2022346011808500004 1
< 0.1%
2022346011808500003 1
< 0.1%
2022346011808500002 1
< 0.1%
2022346011808500001 1
< 0.1%
2022345015408500003 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1911
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20055287
Minimum19850408
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:48.787243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850408
5-th percentile19910603
Q119990716
median20040310
Q320130912
95-th percentile20200903
Maximum20220630
Range370222
Interquartile range (IQR)140196

Descriptive statistics

Standard deviation89150.963
Coefficient of variation (CV)0.0044452599
Kurtosis-0.97263383
Mean20055287
Median Absolute Deviation (MAD)60516
Skewness0.13854534
Sum5.1762696 × 1010
Variance7.9478942 × 109
MonotonicityNot monotonic
2024-04-19T15:25:48.950701image/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%
20010910 5
 
0.2%
20081104 5
 
0.2%
20170811 5
 
0.2%
19910715 5
 
0.2%
19980615 5
 
0.2%
Other values (1901) 2483
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 (%)
20220630 1
< 0.1%
20220627 1
< 0.1%
20220622 1
< 0.1%
20220621 1
< 0.1%
20220616 1
< 0.1%
20220613 1
< 0.1%
20220601 1
< 0.1%
20220531 2
0.1%
20220530 1
< 0.1%
20220520 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2581
Missing (%)100.0%
Memory size22.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
3
1708 
1
838 
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 1708
66.2%
1 838
32.5%
2 21
 
0.8%
4 14
 
0.5%

Length

2024-04-19T15:25:49.140744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:49.262655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1708
66.2%
1 838
32.5%
2 21
 
0.8%
4 14
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
폐업
1708 
영업/정상
838 
휴업
 
21
취소/말소/만료/정지/중지
 
14

Length

Max length14
Median length2
Mean length3.0391321
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1708
66.2%
영업/정상 838
32.5%
휴업 21
 
0.8%
취소/말소/만료/정지/중지 14
 
0.5%

Length

2024-04-19T15:25:49.422593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:49.534272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1708
66.2%
영업/정상 838
32.5%
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%
Mean32.646261
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:49.627082image/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 deviation11.746615
Coefficient of variation (CV)0.35981501
Kurtosis0.68975199
Mean32.646261
Median Absolute Deviation (MAD)0
Skewness-0.98271056
Sum84260
Variance137.98296
MonotonicityNot monotonic
2024-04-19T15:25:49.728185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
40 1708
66.2%
20 706
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%
20 706
27.4%
30 21
 
0.8%
40 1708
66.2%
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 1708
66.2%
30 21
 
0.8%
20 706
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
1708 
정상
706 
<NA>
 
129
휴업
 
21
취소
 
13
Other values (3)
 
4

Length

Max length8
Median length2
Mean length2.1046106
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1708
66.2%
정상 706
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

2024-04-19T15:25:49.846667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:49.952124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1708
66.2%
정상 706
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 

Distinct1007
Distinct (%)62.4%
Missing968
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean20099918
Minimum19910107
Maximum20220613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:50.073096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910107
5-th percentile20010585
Q120051212
median20090220
Q320151005
95-th percentile20210610
Maximum20220613
Range310506
Interquartile range (IQR)99793

Descriptive statistics

Standard deviation65486.878
Coefficient of variation (CV)0.0032580669
Kurtosis-0.81274523
Mean20099918
Median Absolute Deviation (MAD)49519
Skewness0.18822494
Sum3.2421168 × 1010
Variance4.2885312 × 109
MonotonicityNot monotonic
2024-04-19T15:25:50.213680image/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%
20060810 11
 
0.4%
Other values (997) 1403
54.4%
(Missing) 968
37.5%
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 (%)
20220613 1
< 0.1%
20220610 1
< 0.1%
20220609 1
< 0.1%
20220608 1
< 0.1%
20220531 1
< 0.1%
20220530 1
< 0.1%
20220524 1
< 0.1%
20220429 1
< 0.1%
20220413 1
< 0.1%
20220412 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)92.9%
Missing2539
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20135752
Minimum20060904
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:50.352667image/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
2024-04-19T15:25:50.483662image/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) 2539
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%
Missing2539
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean23949389
Minimum20061030
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:50.616738image/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
2024-04-19T15:25:50.771875image/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) 2539
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>
2576 
20141008
 
2
20121121
 
1
20100503
 
1
20181228
 
1

Length

Max length8
Median length4
Mean length4.0077489
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> 2576
99.8%
20141008 2
 
0.1%
20121121 1
 
< 0.1%
20100503 1
 
< 0.1%
20181228 1
 
< 0.1%

Length

2024-04-19T15:25:50.914602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:51.022589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2576
99.8%
20141008 2
 
0.1%
20121121 1
 
< 0.1%
20100503 1
 
< 0.1%
20181228 1
 
< 0.1%

소재지전화
Text

MISSING 

Distinct1648
Distinct (%)88.1%
Missing710
Missing (%)27.5%
Memory size20.3 KiB
2024-04-19T15:25:51.288214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.996793
Min length3

Characters and Unicode

Total characters20575
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

Unique1456 ?
Unique (%)77.8%

Sample

1st row0534277206
2nd row0534262131
3rd row053 2542666
4th row053 4237504
5th row0534250770
ValueCountFrequency (%)
053 1587
38.7%
768 12
 
0.3%
744 9
 
0.2%
764 9
 
0.2%
383 9
 
0.2%
765 9
 
0.2%
621 9
 
0.2%
563 9
 
0.2%
354 8
 
0.2%
428 8
 
0.2%
Other values (1817) 2437
59.4%
2024-04-19T15:25:51.784652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3668
17.8%
3 3041
14.8%
0 2806
13.6%
2253
11.0%
6 1518
7.4%
2 1489
7.2%
4 1436
 
7.0%
7 1222
 
5.9%
1 1202
 
5.8%
8 991
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18322
89.0%
Space Separator 2253
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3668
20.0%
3 3041
16.6%
0 2806
15.3%
6 1518
8.3%
2 1489
8.1%
4 1436
 
7.8%
7 1222
 
6.7%
1 1202
 
6.6%
8 991
 
5.4%
9 949
 
5.2%
Space Separator
ValueCountFrequency (%)
2253
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3668
17.8%
3 3041
14.8%
0 2806
13.6%
2253
11.0%
6 1518
7.4%
2 1489
7.2%
4 1436
 
7.0%
7 1222
 
5.9%
1 1202
 
5.8%
8 991
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3668
17.8%
3 3041
14.8%
0 2806
13.6%
2253
11.0%
6 1518
7.4%
2 1489
7.2%
4 1436
 
7.0%
7 1222
 
5.9%
1 1202
 
5.8%
8 991
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2581
Missing (%)100.0%
Memory size22.8 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2581
Missing (%)100.0%
Memory size22.8 KiB

소재지전체주소
Text

MISSING 

Distinct888
Distinct (%)35.2%
Missing55
Missing (%)2.1%
Memory size20.3 KiB
2024-04-19T15:25:52.105324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length22.327395
Min length13

Characters and Unicode

Total characters56399
Distinct characters274
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

Unique515 ?
Unique (%)20.4%

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 2516
23.7%
번지 2018
19.0%
589
 
5.5%
달서구 400
 
3.8%
수성구 387
 
3.6%
동구 362
 
3.4%
북구 354
 
3.3%
서구 337
 
3.2%
중구 319
 
3.0%
남구 255
 
2.4%
Other values (344) 3085
29.0%
2024-04-19T15:25:52.569936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11758
20.8%
10678
18.9%
구 4963
8.8%
동 2919
 
5.2%
대 2837
 
5.0%
시 2550
 
4.5%
광 2523
 
4.5%
역 2518
 
4.5%
- 2212
 
3.9%
지 2098
 
3.7%
Other values (264) 11343
20.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31699
56.2%
Other Punctuation 11763
 
20.9%
Space Separator 10678
 
18.9%
Dash Punctuation 2212
 
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 4963
15.7%
동 2919
 
9.2%
대 2837
 
8.9%
시 2550
 
8.0%
광 2523
 
8.0%
역 2518
 
7.9%
지 2098
 
6.6%
번 2018
 
6.4%
서 777
 
2.5%
성 634
 
2.0%
Other values (240) 7862
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%
H 1
 
3.7%
W 1
 
3.7%
S 1
 
3.7%
D 1
 
3.7%
F 1
 
3.7%
Other values (2) 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
* 11758
> 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 (%)
10678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31699
56.2%
Common 24672
43.7%
Latin 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4963
15.7%
동 2919
 
9.2%
대 2837
 
8.9%
시 2550
 
8.0%
광 2523
 
8.0%
역 2518
 
7.9%
지 2098
 
6.6%
번 2018
 
6.4%
서 777
 
2.5%
성 634
 
2.0%
Other values (240) 7862
24.8%
Latin
ValueCountFrequency (%)
B 10
35.7%
A 4
 
14.3%
C 3
 
10.7%
M 2
 
7.1%
J 1
 
3.6%
H 1
 
3.6%
W 1
 
3.6%
S 1
 
3.6%
c 1
 
3.6%
D 1
 
3.6%
Other values (3) 3
 
10.7%
Common
ValueCountFrequency (%)
* 11758
47.7%
10678
43.3%
- 2212
 
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 31699
56.2%
ASCII 24700
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11758
47.6%
10678
43.2%
- 2212
 
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 4963
15.7%
동 2919
 
9.2%
대 2837
 
8.9%
시 2550
 
8.0%
광 2523
 
8.0%
역 2518
 
7.9%
지 2098
 
6.6%
번 2018
 
6.4%
서 777
 
2.5%
성 634
 
2.0%
Other values (240) 7862
24.8%

도로명전체주소
Text

MISSING 

Distinct1476
Distinct (%)71.5%
Missing517
Missing (%)20.0%
Memory size20.3 KiB
2024-04-19T15:25:52.904444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length25.945736
Min length19

Characters and Unicode

Total characters53552
Distinct characters339
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

Unique1148 ?
Unique (%)55.6%

Sample

1st row대구광역시 중구 대봉로 ***-** (대봉동)
2nd row대구광역시 중구 국채보상로***길 *, *층 (동인동*가)
3rd row대구광역시 중구 *·**길 ** (남산동)
4th row대구광역시 중구 종로 **-*, *층 ****호 (종로*가)
5th row대구광역시 중구 명륜로*길 *-** (남산동)
ValueCountFrequency (%)
2068
19.0%
대구광역시 2064
19.0%
달서구 384
 
3.5%
수성구 322
 
3.0%
동구 282
 
2.6%
북구 255
 
2.3%
남구 247
 
2.3%
중구 246
 
2.3%
서구 242
 
2.2%
대명동 174
 
1.6%
Other values (869) 4575
42.1%
2024-04-19T15:25:53.369529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9357
17.5%
* 7975
14.9%
구 4243
 
7.9%
대 2691
 
5.0%
동 2650
 
4.9%
시 2102
 
3.9%
광 2082
 
3.9%
역 2067
 
3.9%
( 1995
 
3.7%
) 1995
 
3.7%
Other values (329) 16395
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31297
58.4%
Space Separator 9357
 
17.5%
Other Punctuation 8415
 
15.7%
Open Punctuation 1995
 
3.7%
Close Punctuation 1995
 
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 4243
 
13.6%
대 2691
 
8.6%
동 2650
 
8.5%
시 2102
 
6.7%
광 2082
 
6.7%
역 2067
 
6.6%
로 1979
 
6.3%
길 983
 
3.1%
서 799
 
2.6%
성 663
 
2.1%
Other values (304) 11038
35.3%
Uppercase Letter
ValueCountFrequency (%)
A 8
23.5%
B 7
20.6%
M 3
 
8.8%
J 2
 
5.9%
F 2
 
5.9%
D 2
 
5.9%
S 2
 
5.9%
C 2
 
5.9%
E 1
 
2.9%
L 1
 
2.9%
Other values (4) 4
11.8%
Other Punctuation
ValueCountFrequency (%)
* 7975
94.8%
, 436
 
5.2%
· 3
 
< 0.1%
. 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
9357
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1995
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1995
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 456
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31297
58.4%
Common 22220
41.5%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4243
 
13.6%
대 2691
 
8.6%
동 2650
 
8.5%
시 2102
 
6.7%
광 2082
 
6.7%
역 2067
 
6.6%
로 1979
 
6.3%
길 983
 
3.1%
서 799
 
2.6%
성 663
 
2.1%
Other values (304) 11038
35.3%
Latin
ValueCountFrequency (%)
A 8
22.9%
B 7
20.0%
M 3
 
8.6%
J 2
 
5.7%
F 2
 
5.7%
D 2
 
5.7%
S 2
 
5.7%
C 2
 
5.7%
E 1
 
2.9%
L 1
 
2.9%
Other values (5) 5
14.3%
Common
ValueCountFrequency (%)
9357
42.1%
* 7975
35.9%
( 1995
 
9.0%
) 1995
 
9.0%
- 456
 
2.1%
, 436
 
2.0%
· 3
 
< 0.1%
< 1
 
< 0.1%
. 1
 
< 0.1%
> 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31297
58.4%
ASCII 22252
41.6%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9357
42.1%
* 7975
35.8%
( 1995
 
9.0%
) 1995
 
9.0%
- 456
 
2.0%
, 436
 
2.0%
A 8
 
< 0.1%
B 7
 
< 0.1%
M 3
 
< 0.1%
J 2
 
< 0.1%
Other values (14) 18
 
0.1%
Hangul
ValueCountFrequency (%)
구 4243
 
13.6%
대 2691
 
8.6%
동 2650
 
8.5%
시 2102
 
6.7%
광 2082
 
6.7%
역 2067
 
6.6%
로 1979
 
6.3%
길 983
 
3.1%
서 799
 
2.6%
성 663
 
2.1%
Other values (304) 11038
35.3%
None
ValueCountFrequency (%)
· 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct722
Distinct (%)52.7%
Missing1212
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean267922.05
Minimum41007
Maximum711882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:53.530167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41162.8
Q141913
median42251
Q3703849
95-th percentile704948
Maximum711882
Range670875
Interquartile range (IQR)661936

Descriptive statistics

Standard deviation314102.98
Coefficient of variation (CV)1.1723671
Kurtosis-1.5519318
Mean267922.05
Median Absolute Deviation (MAD)723
Skewness0.67101464
Sum3.6678528 × 108
Variance9.8660684 × 1010
MonotonicityNot monotonic
2024-04-19T15:25:53.711727image/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%
704825 9
 
0.3%
42134 9
 
0.3%
42162 8
 
0.3%
704823 8
 
0.3%
42216 8
 
0.3%
704953 8
 
0.3%
Other values (712) 1255
48.6%
(Missing) 1212
47.0%
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

Distinct2053
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2024-04-19T15:25:54.020319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length5.6629213
Min length2

Characters and Unicode

Total characters14616
Distinct characters526
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

Unique1660 ?
Unique (%)64.3%

Sample

1st row디포스
2nd row디오컴퍼니
3rd row위드애드
4th row오류(이중등록)
5th rowKS애드
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%
현대광고사 6
 
0.2%
기획 6
 
0.2%
factory 6
 
0.2%
주 6
 
0.2%
Other values (2101) 2678
94.5%
2024-04-19T15:25:54.487644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1098
 
7.5%
고 1046
 
7.2%
사 657
 
4.5%
주 438
 
3.0%
인 438
 
3.0%
) 386
 
2.6%
( 382
 
2.6%
기 370
 
2.5%
디 352
 
2.4%
획 324
 
2.2%
Other values (516) 9125
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13174
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 1098
 
8.3%
고 1046
 
7.9%
사 657
 
5.0%
주 438
 
3.3%
인 438
 
3.3%
기 370
 
2.8%
디 352
 
2.7%
획 324
 
2.5%
이 305
 
2.3%
드 270
 
2.0%
Other values (455) 7876
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%
s 4
11.8%
i 4
11.8%
n 4
11.8%
g 3
8.8%
o 2
 
5.9%
b 2
 
5.9%
a 2
 
5.9%
x 1
 
2.9%
y 1
 
2.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
2 12
21.1%
1 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 13174
90.1%
Common 1119
 
7.7%
Latin 323
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1098
 
8.3%
고 1046
 
7.9%
사 657
 
5.0%
주 438
 
3.3%
인 438
 
3.3%
기 370
 
2.8%
디 352
 
2.7%
획 324
 
2.5%
이 305
 
2.3%
드 270
 
2.0%
Other values (455) 7876
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%
2 12
 
1.1%
1 12
 
1.1%
3 11
 
1.0%
0 9
 
0.8%
- 4
 
0.4%
Other values (11) 20
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13174
90.1%
ASCII 1441
 
9.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1098
 
8.3%
고 1046
 
7.9%
사 657
 
5.0%
주 438
 
3.3%
인 438
 
3.3%
기 370
 
2.8%
디 352
 
2.7%
획 324
 
2.5%
이 305
 
2.3%
드 270
 
2.0%
Other values (455) 7876
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%
. 17
 
1.2%
Other values (50) 273
18.9%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2510
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119055 × 1013
Minimum1.9850701 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:54.633132image/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 percentile2.0211005 × 1013
Maximum2.022063 × 1013
Range3.6992917 × 1011
Interquartile range (IQR)1.1959198 × 1011

Descriptive statistics

Standard deviation8.2916749 × 1010
Coefficient of variation (CV)0.0041213044
Kurtosis-0.058611459
Mean2.0119055 × 1013
Median Absolute Deviation (MAD)5.9807008 × 1010
Skewness-0.85541324
Sum5.192728 × 1016
Variance6.8751873 × 1021
MonotonicityNot monotonic
2024-04-19T15:25:54.784966image/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%
19910713000000 3
 
0.1%
19910329000000 3
 
0.1%
20000129000000 3
 
0.1%
19930623000000 2
 
0.1%
19920512000000 2
 
0.1%
19980925000000 2
 
0.1%
Other values (2500) 2535
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 (%)
20220630171848 1
< 0.1%
20220629172300 1
< 0.1%
20220627162349 1
< 0.1%
20220624095745 1
< 0.1%
20220623161534 1
< 0.1%
20220623105852 1
< 0.1%
20220622133137 1
< 0.1%
20220620114256 1
< 0.1%
20220617112109 1
< 0.1%
20220615094427 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
I
1893 
U
688 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1893
73.3%
U 688
 
26.7%

Length

2024-04-19T15:25:54.922620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:55.012511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1893
73.3%
u 688
 
26.7%

데이터갱신일자
Date

Distinct450
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-19T15:25:55.137258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:25:55.280807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2581
Missing (%)100.0%
Memory size22.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1861
Distinct (%)87.2%
Missing446
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean342817.36
Minimum204099.91
Maximum357984.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:55.419697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204099.91
5-th percentile334931.57
Q1340023.82
median343298.26
Q3345893.63
95-th percentile351537.16
Maximum357984.66
Range153884.75
Interquartile range (IQR)5869.8146

Descriptive statistics

Standard deviation6893.9212
Coefficient of variation (CV)0.020109604
Kurtosis111.22578
Mean342817.36
Median Absolute Deviation (MAD)2945.248
Skewness-7.3131248
Sum7.3191506 × 108
Variance47526149
MonotonicityNot monotonic
2024-04-19T15:25:55.909579image/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%
348394.245106 6
 
0.2%
344912.358902 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%
345685.56572 3
 
0.1%
Other values (1851) 2084
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 

Distinct1862
Distinct (%)87.2%
Missing446
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean263804.64
Minimum239689.77
Maximum448866.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-04-19T15:25:56.053510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239689.77
5-th percentile257927.83
Q1261406.37
median263429.77
Q3265331.58
95-th percentile269723.04
Maximum448866.37
Range209176.6
Interquartile range (IQR)3925.2104

Descriptive statistics

Standard deviation8978.4015
Coefficient of variation (CV)0.034034282
Kurtosis192.7102
Mean263804.64
Median Absolute Deviation (MAD)1951.5741
Skewness12.107318
Sum5.6322291 × 108
Variance80611694
MonotonicityNot monotonic
2024-04-19T15:25:56.179589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269860.486838 7
 
0.3%
268620.845678 6
 
0.2%
268253.830253 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%
266578.115481 3
 
0.1%
Other values (1852) 2084
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 

Distinct651
Distinct (%)25.9%
Missing69
Missing (%)2.7%
Memory size20.3 KiB
2024-04-19T15:25:56.461442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length9.0573248
Min length1

Characters and Unicode

Total characters22752
Distinct characters277
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

Unique489 ?
Unique (%)19.5%

Sample

1st row옥외광고물 제작, 설치
2nd row옥외광고물 제작 외
3rd row옥외광고물 제작
4th row옥외광고업
5th row옥외광고업
ValueCountFrequency (%)
제작 541
 
11.3%
광고물제작 463
 
9.6%
및 455
 
9.5%
옥외광고물제작 446
 
9.3%
옥외광고물 378
 
7.9%
옥외광고업 212
 
4.4%
설치 162
 
3.4%
광고대행 152
 
3.2%
대행 150
 
3.1%
광고물 139
 
2.9%
Other values (508) 1700
35.4%
2024-04-19T15:25:56.879142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 2417
10.6%
고 2404
10.6%
2277
 
10.0%
제 2056
 
9.0%
작 1954
 
8.6%
물 1820
 
8.0%
외 1384
 
6.1%
옥 1368
 
6.0%
, 545
 
2.4%
및 536
 
2.4%
Other values (267) 5991
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19463
85.5%
Space Separator 2277
 
10.0%
Other Punctuation 682
 
3.0%
Open Punctuation 97
 
0.4%
Close Punctuation 96
 
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 2417
12.4%
고 2404
12.4%
제 2056
10.6%
작 1954
10.0%
물 1820
 
9.4%
외 1384
 
7.1%
옥 1368
 
7.0%
및 536
 
2.8%
판 420
 
2.2%
업 407
 
2.1%
Other values (236) 4697
24.1%
Decimal Number
ValueCountFrequency (%)
0 15
30.6%
1 8
16.3%
2 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 (%)
E 13
26.0%
D 13
26.0%
L 13
26.0%
P 4
 
8.0%
S 4
 
8.0%
C 2
 
4.0%
N 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 545
79.9%
. 61
 
8.9%
: 44
 
6.5%
· 21
 
3.1%
/ 10
 
1.5%
？ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 96
99.0%
[ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 95
99.0%
] 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
2277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Control
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19463
85.5%
Common 3239
 
14.2%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 2417
12.4%
고 2404
12.4%
제 2056
10.6%
작 1954
10.0%
물 1820
 
9.4%
외 1384
 
7.1%
옥 1368
 
7.0%
및 536
 
2.8%
판 420
 
2.2%
업 407
 
2.1%
Other values (236) 4697
24.1%
Common
ValueCountFrequency (%)
2277
70.3%
, 545
 
16.8%
( 96
 
3.0%
) 95
 
2.9%
. 61
 
1.9%
: 44
 
1.4%
- 26
 
0.8%
· 21
 
0.6%
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%
P 4
 
8.0%
S 4
 
8.0%
C 2
 
4.0%
N 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19462
85.5%
ASCII 3267
 
14.4%
None 22
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 2417
12.4%
고 2404
12.4%
제 2056
10.6%
작 1954
10.0%
물 1820
 
9.4%
외 1384
 
7.1%
옥 1368
 
7.0%
및 536
 
2.8%
판 420
 
2.2%
업 407
 
2.1%
Other values (235) 4696
24.1%
ASCII
ValueCountFrequency (%)
2277
69.7%
, 545
 
16.7%
( 96
 
2.9%
) 95
 
2.9%
. 61
 
1.9%
: 44
 
1.3%
- 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_P3410000201934101270850000120190218<NA>3폐업40폐업20210901<NA><NA><NA>0534277206<NA><NA><NA>대구광역시 중구 대봉로 ***-** (대봉동)41954디포스20210901091747U2021-09-03 02:40:00.0<NA>344825.301398263005.570184옥외광고물 제작, 설치
12옥외광고업04_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
23옥외광고업04_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
34옥외광고업04_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
45옥외광고업04_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
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_P3410000200934100470850000320090514<NA>3폐업40폐업<NA><NA><NA><NA>053 252 1181<NA><NA>대구광역시 중구 남산동 ***-*번지대구광역시 중구 명륜로**길 ** (남산동)<NA>칼라뱅크20130927103715I2018-08-31 23:59:59.0<NA>343440.527839263639.794402광고대행, 산업디자인, 인쇄
910옥외광고업04_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
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
25712572옥외광고업04_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
25722573옥외광고업04_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
25732574옥외광고업04_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
25742575옥외광고업04_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
25752576옥외광고업04_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
25762577옥외광고업04_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
25772578옥외광고업04_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
25782579옥외광고업04_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
25792580옥외광고업04_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
25802581옥외광고업04_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