Overview

Dataset statistics

Number of variables30
Number of observations833
Missing cells7619
Missing cells (%)30.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory210.0 KiB
Average record size in memory258.2 B

Variable types

Numeric13
Categorical10
Unsupported3
Text3
DateTime1

Dataset

Description6270000_대구광역시_09_28_05_P_고압가스업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091679&dataSetDetailId=DDI_0000091737&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
인허가취소일자 has 833 (100.0%) missing valuesMissing
폐업일자 has 526 (63.1%) missing valuesMissing
휴업시작일자 has 814 (97.7%) missing valuesMissing
휴업종료일자 has 813 (97.6%) missing valuesMissing
재개업일자 has 812 (97.5%) missing valuesMissing
소재지전화 has 833 (100.0%) missing valuesMissing
소재지면적 has 817 (98.1%) missing valuesMissing
소재지우편번호 has 833 (100.0%) missing valuesMissing
소재지전체주소 has 34 (4.1%) missing valuesMissing
도로명전체주소 has 288 (34.6%) missing valuesMissing
도로명우편번호 has 712 (85.5%) missing valuesMissing
좌표정보(X) has 152 (18.2%) missing valuesMissing
좌표정보(Y) has 152 (18.2%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지전화 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

Reproduction

Analysis started2024-04-21 09:35:46.035167
Analysis finished2024-04-21 09:35:47.414014
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct833
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean417
Minimum1
Maximum833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:47.544088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.6
Q1209
median417
Q3625
95-th percentile791.4
Maximum833
Range832
Interquartile range (IQR)416

Descriptive statistics

Standard deviation240.61068
Coefficient of variation (CV)0.57700403
Kurtosis-1.2
Mean417
Median Absolute Deviation (MAD)208
Skewness0
Sum347361
Variance57893.5
MonotonicityStrictly increasing
2024-04-21T18:35:47.791156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
626 1
 
0.1%
550 1
 
0.1%
551 1
 
0.1%
552 1
 
0.1%
553 1
 
0.1%
554 1
 
0.1%
555 1
 
0.1%
556 1
 
0.1%
557 1
 
0.1%
Other values (823) 823
98.8%
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 (%)
833 1
0.1%
832 1
0.1%
831 1
0.1%
830 1
0.1%
829 1
0.1%
828 1
0.1%
827 1
0.1%
826 1
0.1%
825 1
0.1%
824 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
고압가스업
833 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고압가스업 833
100.0%

Length

2024-04-21T18:35:48.012388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:35:48.179055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스업 833
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
09_28_05_P
833 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_05_P
2nd row09_28_05_P
3rd row09_28_05_P
4th row09_28_05_P
5th row09_28_05_P

Common Values

ValueCountFrequency (%)
09_28_05_P 833
100.0%

Length

2024-04-21T18:35:48.344876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:35:48.508105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_05_p 833
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455306.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:48.661945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13440000
median3460000
Q33480000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation24400.183
Coefficient of variation (CV)0.0070616559
Kurtosis-0.90837489
Mean3455306.1
Median Absolute Deviation (MAD)20000
Skewness-0.69231052
Sum2.87827 × 109
Variance5.9536892 × 108
MonotonicityIncreasing
2024-04-21T18:35:48.851711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3480000 236
28.3%
3470000 176
21.1%
3450000 127
15.2%
3410000 96
11.5%
3460000 66
 
7.9%
3420000 61
 
7.3%
3430000 46
 
5.5%
3440000 25
 
3.0%
ValueCountFrequency (%)
3410000 96
11.5%
3420000 61
 
7.3%
3430000 46
 
5.5%
3440000 25
 
3.0%
3450000 127
15.2%
3460000 66
 
7.9%
3470000 176
21.1%
3480000 236
28.3%
ValueCountFrequency (%)
3480000 236
28.3%
3470000 176
21.1%
3460000 66
 
7.9%
3450000 127
15.2%
3440000 25
 
3.0%
3430000 46
 
5.5%
3420000 61
 
7.3%
3410000 96
11.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct833
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0043623 × 1018
Minimum1.968341 × 1018
Maximum2.021348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:49.095410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9823468 × 1018
Q12.000347 × 1018
median2.003347 × 1018
Q32.011341 × 1018
95-th percentile2.0187452 × 1018
Maximum2.021348 × 1018
Range5.3007032 × 1016
Interquartile range (IQR)1.0994006 × 1016

Descriptive statistics

Standard deviation9.7114683 × 1015
Coefficient of variation (CV)0.004845166
Kurtosis0.93215373
Mean2.0043623 × 1018
Median Absolute Deviation (MAD)3.9989786 × 1015
Skewness-0.6867877
Sum-9.0198751 × 1018
Variance9.4312616 × 1031
MonotonicityNot monotonic
2024-04-21T18:35:49.360528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015341012002100001 1
 
0.1%
2000348000502100306 1
 
0.1%
2000347001302220011 1
 
0.1%
2000347001302220013 1
 
0.1%
2000347001302220014 1
 
0.1%
2002347001302200002 1
 
0.1%
2000347001302220028 1
 
0.1%
2000347001302220029 1
 
0.1%
2000347001302220032 1
 
0.1%
2000347011702100001 1
 
0.1%
Other values (823) 823
98.8%
ValueCountFrequency (%)
1968341004602100014 1
0.1%
1968341004602100016 1
0.1%
1975341004602100001 1
0.1%
1975341004602100006 1
0.1%
1976341004602100002 1
0.1%
1976341004602100011 1
0.1%
1976345001202100004 1
0.1%
1976345001202100064 1
0.1%
1977344001402100010 1
0.1%
1977345001202100005 1
0.1%
ValueCountFrequency (%)
2021348036502200002 1
0.1%
2021348036502200001 1
0.1%
2021348036502100001 1
0.1%
2021347018002100002 1
0.1%
2021347018002100001 1
0.1%
2021345016002100003 1
0.1%
2021345016002100002 1
0.1%
2021345016002100001 1
0.1%
2021342016202100001 1
0.1%
2020348036502100004 1
0.1%

인허가일자
Real number (ℝ)

Distinct677
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20034368
Minimum19680528
Maximum20210709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:49.614141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19680528
5-th percentile19810622
Q119951215
median20070410
Q320110215
95-th percentile20181225
Maximum20210709
Range530181
Interquartile range (IQR)159000

Descriptive statistics

Standard deviation114254.07
Coefficient of variation (CV)0.0057029036
Kurtosis-0.32159966
Mean20034368
Median Absolute Deviation (MAD)69494
Skewness-0.68473533
Sum1.6688628 × 1010
Variance1.3053992 × 1010
MonotonicityNot monotonic
2024-04-21T18:35:49.880190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180514 8
 
1.0%
20100729 7
 
0.8%
20171215 7
 
0.8%
20060616 6
 
0.7%
20090908 5
 
0.6%
19820115 5
 
0.6%
20021104 4
 
0.5%
20050426 4
 
0.5%
20180201 4
 
0.5%
20080905 3
 
0.4%
Other values (667) 780
93.6%
ValueCountFrequency (%)
19680528 2
0.2%
19740604 1
0.1%
19740910 1
0.1%
19750902 2
0.2%
19760226 1
0.1%
19760716 1
0.1%
19760806 1
0.1%
19760916 2
0.2%
19760929 1
0.1%
19761210 1
0.1%
ValueCountFrequency (%)
20210709 1
 
0.1%
20210617 1
 
0.1%
20210427 1
 
0.1%
20210323 1
 
0.1%
20210309 1
 
0.1%
20210202 1
 
0.1%
20210127 3
0.4%
20201020 1
 
0.1%
20201012 1
 
0.1%
20200929 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
516 
3
311 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 516
61.9%
3 311
37.3%
2 6
 
0.7%

Length

2024-04-21T18:35:50.108980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:35:50.284994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 516
61.9%
3 311
37.3%
2 6
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
영업/정상
516 
폐업
311 
휴업
 
6

Length

Max length5
Median length5
Mean length3.8583433
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 516
61.9%
폐업 311
37.3%
휴업 6
 
0.7%

Length

2024-04-21T18:35:50.479852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:35:50.668635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 516
61.9%
폐업 311
37.3%
휴업 6
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
516 
3
311 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 516
61.9%
3 311
37.3%
2 6
 
0.7%

Length

2024-04-21T18:35:50.850395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:35:51.025087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 516
61.9%
3 311
37.3%
2 6
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
영업중
516 
폐업
311 
휴업
 
6

Length

Max length3
Median length3
Mean length2.6194478
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 516
61.9%
폐업 311
37.3%
휴업 6
 
0.7%

Length

2024-04-21T18:35:51.215271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:35:51.400030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 516
61.9%
폐업 311
37.3%
휴업 6
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct267
Distinct (%)87.0%
Missing526
Missing (%)63.1%
Infinite0
Infinite (%)0.0%
Mean20125402
Minimum20000531
Maximum20210722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:51.615481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000531
5-th percentile20030636
Q120080761
median20130510
Q320180223
95-th percentile20201215
Maximum20210722
Range210191
Interquartile range (IQR)99462

Descriptive statistics

Standard deviation56632.102
Coefficient of variation (CV)0.0028139613
Kurtosis-1.0370801
Mean20125402
Median Absolute Deviation (MAD)49717
Skewness-0.26164552
Sum6.1784983 × 109
Variance3.207195 × 109
MonotonicityNot monotonic
2024-04-21T18:35:51.867800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050301 4
 
0.5%
20190517 3
 
0.4%
20181024 3
 
0.4%
20080704 3
 
0.4%
20131007 3
 
0.4%
20070814 3
 
0.4%
20080811 3
 
0.4%
20091130 3
 
0.4%
20210413 2
 
0.2%
20070126 2
 
0.2%
Other values (257) 278
33.4%
(Missing) 526
63.1%
ValueCountFrequency (%)
20000531 1
0.1%
20000711 1
0.1%
20001117 1
0.1%
20010324 1
0.1%
20010518 2
0.2%
20010723 1
0.1%
20010917 1
0.1%
20020528 1
0.1%
20020710 1
0.1%
20021104 1
0.1%
ValueCountFrequency (%)
20210722 1
0.1%
20210719 2
0.2%
20210714 1
0.1%
20210701 1
0.1%
20210605 1
0.1%
20210604 1
0.1%
20210527 1
0.1%
20210524 1
0.1%
20210413 2
0.2%
20210408 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing814
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean20109748
Minimum20021126
Maximum20210730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:52.089124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021126
5-th percentile20038590
Q120055966
median20110217
Q320181116
95-th percentile20201992
Maximum20210730
Range189604
Interquartile range (IQR)125149.5

Descriptive statistics

Standard deviation63167.806
Coefficient of variation (CV)0.0031411536
Kurtosis-1.4669342
Mean20109748
Median Absolute Deviation (MAD)59386
Skewness0.35171194
Sum3.820852 × 108
Variance3.9901717 × 109
MonotonicityNot monotonic
2024-04-21T18:35:52.303679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20181116 2
 
0.2%
20050831 1
 
0.1%
20070110 1
 
0.1%
20201021 1
 
0.1%
20110602 1
 
0.1%
20050407 1
 
0.1%
20190923 1
 
0.1%
20181201 1
 
0.1%
20210730 1
 
0.1%
20070601 1
 
0.1%
Other values (8) 8
 
1.0%
(Missing) 814
97.7%
ValueCountFrequency (%)
20021126 1
0.1%
20040531 1
0.1%
20050407 1
0.1%
20050831 1
0.1%
20051019 1
0.1%
20060914 1
0.1%
20060919 1
0.1%
20070110 1
0.1%
20070601 1
0.1%
20110217 1
0.1%
ValueCountFrequency (%)
20210730 1
0.1%
20201021 1
0.1%
20190923 1
0.1%
20181201 1
0.1%
20181116 2
0.2%
20131008 1
0.1%
20110811 1
0.1%
20110602 1
0.1%
20110217 1
0.1%
20070601 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing813
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean20114133
Minimum20020410
Maximum20220729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:52.519915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020410
5-th percentile20030589
Q120060731
median20095880
Q320193380
95-th percentile20210655
Maximum20220729
Range200319
Interquartile range (IQR)132649.5

Descriptive statistics

Standard deviation67316.814
Coefficient of variation (CV)0.003346742
Kurtosis-1.4159575
Mean20114133
Median Absolute Deviation (MAD)45198.5
Skewness0.37846123
Sum4.0228266 × 108
Variance4.5315535 × 109
MonotonicityNot monotonic
2024-04-21T18:35:52.737717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20060831 1
 
0.1%
20080110 1
 
0.1%
20210125 1
 
0.1%
20120602 1
 
0.1%
20050610 1
 
0.1%
20200517 1
 
0.1%
20200531 1
 
0.1%
20200131 1
 
0.1%
20191130 1
 
0.1%
20220729 1
 
0.1%
Other values (10) 10
 
1.2%
(Missing) 813
97.6%
ValueCountFrequency (%)
20020410 1
0.1%
20031125 1
0.1%
20050430 1
0.1%
20050610 1
0.1%
20060430 1
0.1%
20060831 1
0.1%
20061231 1
0.1%
20070730 1
0.1%
20080110 1
0.1%
20080530 1
0.1%
ValueCountFrequency (%)
20220729 1
0.1%
20210125 1
0.1%
20200531 1
0.1%
20200517 1
0.1%
20200131 1
0.1%
20191130 1
0.1%
20141007 1
0.1%
20120602 1
0.1%
20120216 1
0.1%
20111231 1
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)95.2%
Missing812
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean20164336
Minimum20070802
Maximum20220730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:52.948473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070802
5-th percentile20120525
Q120130628
median20170106
Q320200420
95-th percentile20210429
Maximum20220730
Range149928
Interquartile range (IQR)69792

Descriptive statistics

Standard deviation38499.592
Coefficient of variation (CV)0.0019092914
Kurtosis-0.021795955
Mean20164336
Median Absolute Deviation (MAD)30409
Skewness-0.54693292
Sum4.2345105 × 108
Variance1.4822186 × 109
MonotonicityNot monotonic
2024-04-21T18:35:53.165540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20120525 2
 
0.2%
20070802 1
 
0.1%
20210126 1
 
0.1%
20200420 1
 
0.1%
20210429 1
 
0.1%
20140919 1
 
0.1%
20150520 1
 
0.1%
20160805 1
 
0.1%
20170511 1
 
0.1%
20220730 1
 
0.1%
Other values (10) 10
 
1.2%
(Missing) 812
97.5%
ValueCountFrequency (%)
20070802 1
0.1%
20120525 2
0.2%
20130102 1
0.1%
20130604 1
0.1%
20130628 1
0.1%
20140919 1
0.1%
20150520 1
0.1%
20160415 1
0.1%
20160805 1
0.1%
20170106 1
0.1%
ValueCountFrequency (%)
20220730 1
0.1%
20210429 1
0.1%
20210126 1
0.1%
20201203 1
0.1%
20200515 1
0.1%
20200420 1
0.1%
20190620 1
0.1%
20190320 1
0.1%
20170511 1
0.1%
20170224 1
0.1%

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.4 KiB

소재지면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing817
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean9917.2062
Minimum0
Maximum49789
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:53.376472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.8
Q1270.275
median7383.4
Q311159.5
95-th percentile34243
Maximum49789
Range49789
Interquartile range (IQR)10889.225

Descriptive statistics

Standard deviation13191.427
Coefficient of variation (CV)1.3301555
Kurtosis5.2262953
Mean9917.2062
Median Absolute Deviation (MAD)7061.05
Skewness2.1592307
Sum158675.3
Variance1.7401374 × 108
MonotonicityNot monotonic
2024-04-21T18:35:53.580520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
10075.0 2
 
0.2%
9143.3 2
 
0.2%
49789.0 1
 
0.1%
165.0 1
 
0.1%
29061.0 1
 
0.1%
4114.0 1
 
0.1%
5623.5 1
 
0.1%
290.9 1
 
0.1%
208.4 1
 
0.1%
15229.5 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 817
98.1%
ValueCountFrequency (%)
0.0 1
0.1%
22.4 1
0.1%
165.0 1
0.1%
208.4 1
0.1%
290.9 1
0.1%
1322.0 1
0.1%
4114.0 1
0.1%
5623.5 1
0.1%
9143.3 2
0.2%
10075.0 2
0.2%
ValueCountFrequency (%)
49789.0 1
0.1%
29061.0 1
0.1%
15229.5 1
0.1%
14413.0 1
0.1%
10075.0 2
0.2%
9143.3 2
0.2%
5623.5 1
0.1%
4114.0 1
0.1%
1322.0 1
0.1%
290.9 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.4 KiB

소재지전체주소
Text

MISSING 

Distinct459
Distinct (%)57.4%
Missing34
Missing (%)4.1%
Memory size6.6 KiB
2024-04-21T18:35:54.499437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length23.106383
Min length16

Characters and Unicode

Total characters18462
Distinct characters219
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)39.4%

Sample

1st row대구광역시 중구 대봉동 ***-*번지
2nd row대구광역시 중구 대봉동 ***-*번지
3rd row대구광역시 중구 동성로*가 **-*번지
4th row대구광역시 중구 동성로*가 *** 대구백화점건물
5th row대구광역시 중구 동인동*가 **번지
ValueCountFrequency (%)
대구광역시 797
22.3%
번지 652
18.3%
달성군 226
 
6.3%
달서구 167
 
4.7%
150
 
4.2%
북구 127
 
3.6%
논공읍 94
 
2.6%
중구 92
 
2.6%
수성구 62
 
1.7%
동구 55
 
1.5%
Other values (249) 1146
32.1%
2024-04-21T18:35:55.695346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3570
19.3%
* 3240
17.5%
구 1433
 
7.8%
대 922
 
5.0%
시 804
 
4.4%
광 799
 
4.3%
역 798
 
4.3%
지 720
 
3.9%
번 652
 
3.5%
동 649
 
3.5%
Other values (209) 4875
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11073
60.0%
Space Separator 3570
 
19.3%
Other Punctuation 3248
 
17.6%
Dash Punctuation 543
 
2.9%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1433
12.9%
대 922
 
8.3%
시 804
 
7.3%
광 799
 
7.2%
역 798
 
7.2%
지 720
 
6.5%
번 652
 
5.9%
동 649
 
5.9%
달 395
 
3.6%
성 331
 
3.0%
Other values (201) 3570
32.2%
Other Punctuation
ValueCountFrequency (%)
* 3240
99.8%
, 8
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
50.0%
L 4
50.0%
Space Separator
ValueCountFrequency (%)
3570
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 543
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11073
60.0%
Common 7381
40.0%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1433
12.9%
대 922
 
8.3%
시 804
 
7.3%
광 799
 
7.2%
역 798
 
7.2%
지 720
 
6.5%
번 652
 
5.9%
동 649
 
5.9%
달 395
 
3.6%
성 331
 
3.0%
Other values (201) 3570
32.2%
Common
ValueCountFrequency (%)
3570
48.4%
* 3240
43.9%
- 543
 
7.4%
( 10
 
0.1%
) 10
 
0.1%
, 8
 
0.1%
Latin
ValueCountFrequency (%)
B 4
50.0%
L 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11073
60.0%
ASCII 7389
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3570
48.3%
* 3240
43.8%
- 543
 
7.3%
( 10
 
0.1%
) 10
 
0.1%
, 8
 
0.1%
B 4
 
0.1%
L 4
 
0.1%
Hangul
ValueCountFrequency (%)
구 1433
12.9%
대 922
 
8.3%
시 804
 
7.3%
광 799
 
7.2%
역 798
 
7.2%
지 720
 
6.5%
번 652
 
5.9%
동 649
 
5.9%
달 395
 
3.6%
성 331
 
3.0%
Other values (201) 3570
32.2%

도로명전체주소
Text

MISSING 

Distinct372
Distinct (%)68.3%
Missing288
Missing (%)34.6%
Memory size6.6 KiB
2024-04-21T18:35:56.703285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length24.842202
Min length19

Characters and Unicode

Total characters13539
Distinct characters232
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)52.3%

Sample

1st row대구광역시 중구 동성로 ** (동성로*가)
2nd row대구광역시 중구 국채보상로 *** (동인동*가)
3rd row대구광역시 중구 국채보상로 지하 ***, 대현프리몰 (동성로*가)
4th row대구광역시 중구 달성로 ** (동산동)
5th row대구광역시 중구 국채보상로 ***, 곽병원 (수동)
ValueCountFrequency (%)
546
19.6%
대구광역시 544
19.5%
달성군 176
 
6.3%
달서구 104
 
3.7%
북구 92
 
3.3%
논공읍 76
 
2.7%
중구 49
 
1.8%
수성구 43
 
1.5%
서구 35
 
1.3%
논공로 31
 
1.1%
Other values (363) 1091
39.1%
2024-04-21T18:35:58.168187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2338
17.3%
* 1895
14.0%
구 1001
 
7.4%
대 695
 
5.1%
시 550
 
4.1%
광 546
 
4.0%
역 546
 
4.0%
로 530
 
3.9%
동 469
 
3.5%
( 373
 
2.8%
Other values (222) 4596
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8440
62.3%
Space Separator 2338
 
17.3%
Other Punctuation 1957
 
14.5%
Open Punctuation 373
 
2.8%
Close Punctuation 373
 
2.8%
Dash Punctuation 53
 
0.4%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1001
 
11.9%
대 695
 
8.2%
시 550
 
6.5%
광 546
 
6.5%
역 546
 
6.5%
로 530
 
6.3%
동 469
 
5.6%
달 357
 
4.2%
성 340
 
4.0%
서 246
 
2.9%
Other values (213) 3160
37.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
40.0%
I 2
40.0%
B 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1895
96.8%
, 62
 
3.2%
Space Separator
ValueCountFrequency (%)
2338
100.0%
Open Punctuation
ValueCountFrequency (%)
( 373
100.0%
Close Punctuation
ValueCountFrequency (%)
) 373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8440
62.3%
Common 5094
37.6%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1001
 
11.9%
대 695
 
8.2%
시 550
 
6.5%
광 546
 
6.5%
역 546
 
6.5%
로 530
 
6.3%
동 469
 
5.6%
달 357
 
4.2%
성 340
 
4.0%
서 246
 
2.9%
Other values (213) 3160
37.4%
Common
ValueCountFrequency (%)
2338
45.9%
* 1895
37.2%
( 373
 
7.3%
) 373
 
7.3%
, 62
 
1.2%
- 53
 
1.0%
Latin
ValueCountFrequency (%)
T 2
40.0%
I 2
40.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8440
62.3%
ASCII 5099
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2338
45.9%
* 1895
37.2%
( 373
 
7.3%
) 373
 
7.3%
, 62
 
1.2%
- 53
 
1.0%
T 2
 
< 0.1%
I 2
 
< 0.1%
B 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 1001
 
11.9%
대 695
 
8.2%
시 550
 
6.5%
광 546
 
6.5%
역 546
 
6.5%
로 530
 
6.3%
동 469
 
5.6%
달 357
 
4.2%
성 340
 
4.0%
서 246
 
2.9%
Other values (213) 3160
37.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)61.2%
Missing712
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean70082.917
Minimum41009
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:35:58.401272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41009
5-th percentile41404
Q141909
median42714
Q342982
95-th percentile43013
Maximum711892
Range670883
Interquartile range (IQR)1073

Descriptive statistics

Standard deviation133799.35
Coefficient of variation (CV)1.9091579
Kurtosis20.112935
Mean70082.917
Median Absolute Deviation (MAD)294
Skewness4.6669252
Sum8480033
Variance1.7902267 × 1010
MonotonicityNot monotonic
2024-04-21T18:35:58.646566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42725 6
 
0.7%
42982 5
 
0.6%
43008 5
 
0.6%
43013 5
 
0.6%
43011 4
 
0.5%
42921 4
 
0.5%
42203 3
 
0.4%
711857 3
 
0.4%
41755 3
 
0.4%
42714 3
 
0.4%
Other values (64) 80
 
9.6%
(Missing) 712
85.5%
ValueCountFrequency (%)
41009 1
0.1%
41062 1
0.1%
41069 1
0.1%
41119 1
0.1%
41229 1
0.1%
41250 1
0.1%
41404 1
0.1%
41407 1
0.1%
41448 1
0.1%
41474 1
0.1%
ValueCountFrequency (%)
711892 1
 
0.1%
711891 1
 
0.1%
711857 3
0.4%
43020 1
 
0.1%
43013 5
0.6%
43011 4
0.5%
43010 1
 
0.1%
43008 5
0.6%
43003 1
 
0.1%
42993 2
 
0.2%

사업장명
Text

Distinct660
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-04-21T18:35:59.393950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length9.0036014
Min length3

Characters and Unicode

Total characters7500
Distinct characters421
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

Unique555 ?
Unique (%)66.6%

Sample

1st row펜퍼스픽이엔씨(주)
2nd row펜퍼스픽이엔씨(주)
3rd row(주)대현프리몰
4th row대구백화점(주)
5th row원진빌딩
ValueCountFrequency (%)
주식회사 25
 
2.5%
평화오일씰공업(주 12
 
1.2%
주)이마트 10
 
1.0%
대구텍 9
 
0.9%
대구공장 9
 
0.9%
유한회사 8
 
0.8%
펜퍼스픽이엔씨(주 7
 
0.7%
니카코리아(주)대구공장 6
 
0.6%
계명대학교 6
 
0.6%
주)코스트코 6
 
0.6%
Other values (719) 914
90.3%
2024-04-21T18:36:00.366246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 415
 
5.5%
) 414
 
5.5%
( 413
 
5.5%
대 305
 
4.1%
스 236
 
3.1%
구 197
 
2.6%
179
 
2.4%
가 147
 
2.0%
공 110
 
1.5%
이 108
 
1.4%
Other values (411) 4976
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6268
83.6%
Close Punctuation 414
 
5.5%
Open Punctuation 413
 
5.5%
Space Separator 179
 
2.4%
Decimal Number 102
 
1.4%
Uppercase Letter 97
 
1.3%
Lowercase Letter 16
 
0.2%
Dash Punctuation 6
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 415
 
6.6%
대 305
 
4.9%
스 236
 
3.8%
구 197
 
3.1%
가 147
 
2.3%
공 110
 
1.8%
이 108
 
1.7%
동 104
 
1.7%
사 104
 
1.7%
합 100
 
1.6%
Other values (363) 4442
70.9%
Uppercase Letter
ValueCountFrequency (%)
C 16
16.5%
G 10
10.3%
S 9
9.3%
T 9
9.3%
N 7
 
7.2%
F 7
 
7.2%
A 6
 
6.2%
K 5
 
5.2%
E 4
 
4.1%
O 3
 
3.1%
Other values (11) 21
21.6%
Lowercase Letter
ValueCountFrequency (%)
s 5
31.2%
k 2
 
12.5%
m 1
 
6.2%
t 1
 
6.2%
l 1
 
6.2%
w 1
 
6.2%
n 1
 
6.2%
r 1
 
6.2%
o 1
 
6.2%
e 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 49
48.0%
9 20
19.6%
2 13
 
12.7%
3 4
 
3.9%
5 4
 
3.9%
6 4
 
3.9%
7 4
 
3.9%
8 2
 
2.0%
4 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 2
40.0%
, 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 414
100.0%
Open Punctuation
ValueCountFrequency (%)
( 413
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6268
83.6%
Common 1119
 
14.9%
Latin 113
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 415
 
6.6%
대 305
 
4.9%
스 236
 
3.8%
구 197
 
3.1%
가 147
 
2.3%
공 110
 
1.8%
이 108
 
1.7%
동 104
 
1.7%
사 104
 
1.7%
합 100
 
1.6%
Other values (363) 4442
70.9%
Latin
ValueCountFrequency (%)
C 16
14.2%
G 10
 
8.8%
S 9
 
8.0%
T 9
 
8.0%
N 7
 
6.2%
F 7
 
6.2%
A 6
 
5.3%
s 5
 
4.4%
K 5
 
4.4%
E 4
 
3.5%
Other values (22) 35
31.0%
Common
ValueCountFrequency (%)
) 414
37.0%
( 413
36.9%
179
16.0%
1 49
 
4.4%
9 20
 
1.8%
2 13
 
1.2%
- 6
 
0.5%
3 4
 
0.4%
5 4
 
0.4%
6 4
 
0.4%
Other values (6) 13
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6268
83.6%
ASCII 1232
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 415
 
6.6%
대 305
 
4.9%
스 236
 
3.8%
구 197
 
3.1%
가 147
 
2.3%
공 110
 
1.8%
이 108
 
1.7%
동 104
 
1.7%
사 104
 
1.7%
합 100
 
1.6%
Other values (363) 4442
70.9%
ASCII
ValueCountFrequency (%)
) 414
33.6%
( 413
33.5%
179
14.5%
1 49
 
4.0%
9 20
 
1.6%
C 16
 
1.3%
2 13
 
1.1%
G 10
 
0.8%
S 9
 
0.7%
T 9
 
0.7%
Other values (38) 100
 
8.1%

최종수정시점
Real number (ℝ)

Distinct822
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152791 × 1013
Minimum2.0000428 × 1013
Maximum2.0210907 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:36:00.787404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000428 × 1013
5-th percentile2.005121 × 1013
Q12.0130325 × 1013
median2.0170628 × 1013
Q32.0191018 × 1013
95-th percentile2.0210527 × 1013
Maximum2.0210907 × 1013
Range2.1047915 × 1011
Interquartile range (IQR)6.0692907 × 1010

Descriptive statistics

Standard deviation5.2712776 × 1010
Coefficient of variation (CV)0.0026156564
Kurtosis0.30712875
Mean2.0152791 × 1013
Median Absolute Deviation (MAD)3.0202993 × 1010
Skewness-1.0425754
Sum1.6787275 × 1016
Variance2.7786368 × 1021
MonotonicityNot monotonic
2024-04-21T18:36:01.226424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000501000000 7
 
0.8%
20000428000000 4
 
0.5%
20011212000000 2
 
0.2%
20011010000000 2
 
0.2%
20160520161509 1
 
0.1%
20191022143006 1
 
0.1%
20181214142139 1
 
0.1%
20191022102642 1
 
0.1%
20191022145618 1
 
0.1%
20061010000000 1
 
0.1%
Other values (812) 812
97.5%
ValueCountFrequency (%)
20000428000000 4
0.5%
20000429000000 1
 
0.1%
20000501000000 7
0.8%
20000502000000 1
 
0.1%
20000719000000 1
 
0.1%
20000926000000 1
 
0.1%
20001214000000 1
 
0.1%
20001215000000 1
 
0.1%
20001221000000 1
 
0.1%
20011010000000 2
 
0.2%
ValueCountFrequency (%)
20210907150822 1
0.1%
20210906153201 1
0.1%
20210902154340 1
0.1%
20210823151440 1
0.1%
20210819100238 1
0.1%
20210818173410 1
0.1%
20210810165620 1
0.1%
20210803113820 1
0.1%
20210730164707 1
0.1%
20210727150748 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
I
572 
U
261 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 572
68.7%
U 261
31.3%

Length

2024-04-21T18:36:01.622212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:36:01.933611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 572
68.7%
u 261
31.3%

데이터갱신일자
Date

Distinct246
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-09-09 02:40:00
2024-04-21T18:36:02.273557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:36:02.689311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
제조
550 
저장소
168 
판매
115 

Length

Max length3
Median length2
Mean length2.2016807
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 550
66.0%
저장소 168
 
20.2%
판매 115
 
13.8%

Length

2024-04-21T18:36:03.012287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:36:03.197401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 550
66.0%
저장소 168
 
20.2%
판매 115
 
13.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct490
Distinct (%)72.0%
Missing152
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean338725.35
Minimum197728.37
Maximum357185.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:36:03.406809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197728.37
5-th percentile328580.03
Q1333075.77
median339460.92
Q3344218.58
95-th percentile348388.44
Maximum357185.65
Range159457.28
Interquartile range (IQR)11142.81

Descriptive statistics

Standard deviation9695.9706
Coefficient of variation (CV)0.028624875
Kurtosis73.892657
Mean338725.35
Median Absolute Deviation (MAD)5402.9785
Skewness-5.8685531
Sum2.3067196 × 108
Variance94011846
MonotonicityNot monotonic
2024-04-21T18:36:03.667988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347154.975659 12
 
1.4%
345144.121523 11
 
1.3%
331330.5204 8
 
1.0%
335874.207251 7
 
0.8%
343157.682044 5
 
0.6%
331841.770251 5
 
0.6%
341586.9551 5
 
0.6%
338560.694883 4
 
0.5%
341060.358082 4
 
0.5%
334236.492877 4
 
0.5%
Other values (480) 616
73.9%
(Missing) 152
 
18.2%
ValueCountFrequency (%)
197728.372836574 1
0.1%
271746.860371 1
0.1%
271939.112125 1
0.1%
272159.342152 1
0.1%
325507.739656 1
0.1%
325962.159745 1
0.1%
326223.476478 1
0.1%
326352.719503 1
0.1%
326379.037563 1
0.1%
326402.501168 1
0.1%
ValueCountFrequency (%)
357185.650583 2
0.2%
356222.826617 4
0.5%
356126.992895 1
 
0.1%
355939.362329 1
 
0.1%
355372.809157 1
 
0.1%
355055.799674 1
 
0.1%
354288.412149 1
 
0.1%
354061.682284 1
 
0.1%
354055.749919 1
 
0.1%
354045.591625 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct490
Distinct (%)72.0%
Missing152
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean260696.8
Minimum237692.77
Maximum451030.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-04-21T18:36:03.932742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237692.77
5-th percentile240271.18
Q1256527.57
median262111.06
Q3265089.9
95-th percentile269495.36
Maximum451030.85
Range213338.09
Interquartile range (IQR)8562.327

Descriptive statistics

Standard deviation13841.324
Coefficient of variation (CV)0.053093573
Kurtosis80.517019
Mean260696.8
Median Absolute Deviation (MAD)3328.754
Skewness6.834499
Sum1.7753452 × 108
Variance1.9158226 × 108
MonotonicityNot monotonic
2024-04-21T18:36:04.170566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256414.706903 12
 
1.4%
263145.386419 11
 
1.3%
249378.513866 8
 
1.0%
258661.902888 7
 
0.8%
261957.795169 5
 
0.6%
249503.543267 5
 
0.6%
261584.170369 5
 
0.6%
261656.240623 4
 
0.5%
274001.175164 4
 
0.5%
260860.324057 4
 
0.5%
Other values (480) 616
73.9%
(Missing) 152
 
18.2%
ValueCountFrequency (%)
237692.765575 4
0.5%
237863.093552 3
0.4%
237979.635138 1
 
0.1%
238226.478692 1
 
0.1%
238425.255022 1
 
0.1%
238532.072758 1
 
0.1%
238532.756128 2
0.2%
238656.934226 1
 
0.1%
238658.293773 3
0.4%
238659.015174 1
 
0.1%
ValueCountFrequency (%)
451030.853936909 1
 
0.1%
386156.478817 1
 
0.1%
386130.020318 1
 
0.1%
385957.370267 1
 
0.1%
277462.879247 1
 
0.1%
275656.671308 1
 
0.1%
275266.995373 1
 
0.1%
274936.787277 1
 
0.1%
274001.175164 4
0.5%
273432.540162 1
 
0.1%

제조구분명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
냉동
420 
일반
227 
<NA>
116 
충전
66 
특정
 
4

Length

Max length4
Median length2
Mean length2.2785114
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 420
50.4%
일반 227
27.3%
<NA> 116
 
13.9%
충전 66
 
7.9%
특정 4
 
0.5%

Length

2024-04-21T18:36:04.412788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:36:04.627749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 420
50.4%
일반 227
27.3%
na 116
 
13.9%
충전 66
 
7.9%
특정 4
 
0.5%

사업장부지용도구분명
Categorical

Distinct35
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
<NA>
240 
공업용
94 
상업.업무용
80 
주거용
78 
지정되지않음
62 
Other values (30)
279 

Length

Max length7
Median length6
Mean length3.9819928
Min length1

Unique

Unique7 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row도로등
4th row상업용
5th row상업.업무용

Common Values

ValueCountFrequency (%)
<NA> 240
28.8%
공업용 94
 
11.3%
상업.업무용 80
 
9.6%
주거용 78
 
9.4%
지정되지않음 62
 
7.4%
상업용 36
 
4.3%
주상나지 27
 
3.2%
공업나지 24
 
2.9%
기타 22
 
2.6%
주.상복합용 21
 
2.5%
Other values (25) 149
17.9%

Length

2024-04-21T18:36:04.849818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 240
28.8%
공업용 94
 
11.3%
상업.업무용 80
 
9.6%
주거용 78
 
9.4%
지정되지않음 62
 
7.4%
상업용 36
 
4.3%
주상나지 27
 
3.2%
공업나지 24
 
2.9%
기타 22
 
2.6%
주.상복합용 21
 
2.5%
Other values (25) 149
17.9%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
01고압가스업09_28_05_P3410000201534101200210000120151208<NA>3폐업3폐업20160520<NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 ***-*번지<NA><NA>펜퍼스픽이엔씨(주)20160520161509I2018-08-31 23:59:59.0제조345144.121523263145.386419냉동<NA>
12고압가스업09_28_05_P3410000201634101200210000120161123<NA>3폐업3폐업20170201<NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 ***-*번지<NA><NA>펜퍼스픽이엔씨(주)20170201191617I2018-08-31 23:59:59.0제조345144.121523263145.386419냉동<NA>
23고압가스업09_28_05_P3410000200134100130210000120010913<NA>3폐업3폐업20181218<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로*가 **-*번지<NA><NA>(주)대현프리몰20181218205736I2018-12-20 02:20:22.0제조344058.726015264583.431967냉동도로등
34고압가스업09_28_05_P3410000201134100710220000220111107<NA>2휴업2휴업<NA>202107302022072920220730<NA><NA><NA>대구광역시 중구 동성로*가 *** 대구백화점건물대구광역시 중구 동성로 ** (동성로*가)<NA>대구백화점(주)20210730164707I2021-08-01 00:22:52.0제조344066.98467264414.299416냉동상업용
45고압가스업09_28_05_P3410000200034100460220002819910614<NA>2휴업2휴업<NA>2007060120080530<NA><NA><NA><NA>대구광역시 중구 동인동*가 **번지대구광역시 중구 국채보상로 *** (동인동*가)<NA>원진빌딩20070814155037I2018-08-31 23:59:59.0제조345271.282498264397.297213냉동상업.업무용
56고압가스업09_28_05_P3410000201934101300210000120190221<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로*가 **-*번지 대현프리몰대구광역시 중구 국채보상로 지하 ***, 대현프리몰 (동성로*가)41909(주)대현프리몰20190401161516U2019-04-03 02:40:00.0제조344058.726015264583.431967냉동<NA>
67고압가스업09_28_05_P3410000197934100460210001219790130<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 ***대구광역시 중구 달성로 ** (동산동)<NA>계명대학교 대구동산병원20200722124349U2020-07-24 02:40:00.0제조342935.432334264310.975711냉동상업.업무용
78고압가스업09_28_05_P3410000201734101200220000120170406<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로 ***, 곽병원 (수동)41919의료법인 운경의료재단20180806123910I2018-08-31 23:59:59.0제조343408.678769264556.652027냉동<NA>
89고압가스업09_28_05_P3410000198334100460210001019830416<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 *-*번지대구광역시 중구 국채보상로***길 ** (동산동)<NA>일신종합가스20170901185854I2018-08-31 23:59:59.0판매342997.751943264616.577722일반상업용
910고압가스업09_28_05_P3410000198734100130210000119870806<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 ***번지대구광역시 중구 달성로 ** (동산동)<NA>계명대학교 동산의료원20181206162702U2018-12-08 02:40:00.0저장소342935.432334264310.975711일반업무용
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
823824고압가스업09_28_05_P3480000200334800850210005820031008<NA>3폐업3폐업20070101<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 노이리 ****-*번지대구광역시 달성군 논공읍 노이*길 *<NA>TK에너지20180129101934I2018-08-31 23:59:59.0저장소329766.205727252149.063754일반주상나지
824825고압가스업09_28_05_P3480000200034800050210002320070917<NA>3폐업3폐업20120117<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 **-**번지대구광역시 달성군 논공읍 논공중앙로 ***<NA>(주)남선알미늄20120117182533I2018-08-31 23:59:59.0제조332490.45024249394.654028냉동주상나지
825826고압가스업09_28_05_P3480000200434802910220000120040322<NA>3폐업3폐업20200920<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 *-**<NA><NA>대동공업(주)20201124153729U2020-11-26 02:40:00.0제조<NA><NA>냉동<NA>
826827고압가스업09_28_05_P3480000200734802710210000220071206<NA>3폐업3폐업20190201<NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 예현리 ***-**번지<NA><NA>삼성분말야금(주)20190218105316U2019-02-20 02:40:00.0저장소329175.580143237863.093552일반공업나지
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828829고압가스업09_28_05_P3480000200734802890210000220101227<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 하산리 ***-***번지대구광역시 달성군 하빈면 하산길 **<NA>대산가스산업20180221175014I2018-08-31 23:59:59.0판매326846.34321265439.815709<NA><NA>
829830고압가스업09_28_05_P3480000200734802890210000420100624<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 *-*번지대구광역시 달성군 논공읍 논공중앙로**길 **<NA>정안철강(주)20180712145128I2018-08-31 23:59:59.0저장소331865.371139249172.58778<NA><NA>
830831고압가스업09_28_05_P3480000200834802890210000320080305<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 내리 ***번지대구광역시 달성군 구지면 달성*차동*로 **<NA>(주)한국클래드텍20130730164516I2018-08-31 23:59:59.0저장소328249.926707238658.293773<NA>공업나지
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832833고압가스업09_28_05_P3480000200834802890210000520090225<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 문산리 ***대구광역시 달성군 다사읍 달구벌대로**길 **42906대구광역시 상수도사업본부 문산정수사업소20210906153201U2021-09-08 02:40:00.0저장소329152.579001262444.592264<NA><NA>