Overview

Dataset statistics

Number of variables30
Number of observations851
Missing cells7731
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory214.5 KiB
Average record size in memory258.2 B

Variable types

Numeric13
Categorical10
Unsupported3
Text3
DateTime1

Dataset

Description22년10월_6270000_대구광역시_09_28_05_P_고압가스업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096918&dataSetDetailId=DDI_0000096978&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 851 (100.0%) missing valuesMissing
폐업일자 has 535 (62.9%) missing valuesMissing
휴업시작일자 has 829 (97.4%) missing valuesMissing
휴업종료일자 has 828 (97.3%) missing valuesMissing
재개업일자 has 825 (96.9%) missing valuesMissing
소재지전화 has 851 (100.0%) missing valuesMissing
소재지면적 has 835 (98.1%) missing valuesMissing
소재지우편번호 has 851 (100.0%) missing valuesMissing
소재지전체주소 has 35 (4.1%) missing valuesMissing
도로명전체주소 has 277 (32.5%) missing valuesMissing
도로명우편번호 has 714 (83.9%) missing valuesMissing
좌표정보(X) has 150 (17.6%) missing valuesMissing
좌표정보(Y) has 150 (17.6%) 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 started2024-04-19 07:06:58.009535
Analysis finished2024-04-19 07:06:58.710310
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct851
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean426
Minimum1
Maximum851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:06:58.784983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile43.5
Q1213.5
median426
Q3638.5
95-th percentile808.5
Maximum851
Range850
Interquartile range (IQR)425

Descriptive statistics

Standard deviation245.80683
Coefficient of variation (CV)0.57701135
Kurtosis-1.2
Mean426
Median Absolute Deviation (MAD)213
Skewness0
Sum362526
Variance60421
MonotonicityStrictly increasing
2024-04-19T16:06:58.914847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
561 1
 
0.1%
563 1
 
0.1%
564 1
 
0.1%
565 1
 
0.1%
566 1
 
0.1%
567 1
 
0.1%
568 1
 
0.1%
569 1
 
0.1%
570 1
 
0.1%
Other values (841) 841
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 (%)
851 1
0.1%
850 1
0.1%
849 1
0.1%
848 1
0.1%
847 1
0.1%
846 1
0.1%
845 1
0.1%
844 1
0.1%
843 1
0.1%
842 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
고압가스업
851 

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 851
100.0%

Length

2024-04-19T16:06:59.030077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:06:59.122918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스업 851
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
09_28_05_P
851 

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 851
100.0%

Length

2024-04-19T16:06:59.219879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:06:59.314485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_05_p 851
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455534.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:06:59.399568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13440000
median3470000
Q33480000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation24409.056
Coefficient of variation (CV)0.0070637568
Kurtosis-0.91957412
Mean3455534.7
Median Absolute Deviation (MAD)10000
Skewness-0.69329745
Sum2.94066 × 109
Variance5.9580203 × 108
MonotonicityIncreasing
2024-04-19T16:06:59.500386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3480000 248
29.1%
3470000 179
21.0%
3450000 127
14.9%
3410000 93
 
10.9%
3420000 68
 
8.0%
3460000 64
 
7.5%
3430000 47
 
5.5%
3440000 25
 
2.9%
ValueCountFrequency (%)
3410000 93
 
10.9%
3420000 68
 
8.0%
3430000 47
 
5.5%
3440000 25
 
2.9%
3450000 127
14.9%
3460000 64
 
7.5%
3470000 179
21.0%
3480000 248
29.1%
ValueCountFrequency (%)
3480000 248
29.1%
3470000 179
21.0%
3460000 64
 
7.5%
3450000 127
14.9%
3440000 25
 
2.9%
3430000 47
 
5.5%
3420000 68
 
8.0%
3410000 93
 
10.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct851
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0047862 × 1018
Minimum1.968341 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:06:59.674588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9828445 × 1018
Q12.000347 × 1018
median2.003348 × 1018
Q32.011348 × 1018
95-th percentile2.019348 × 1018
Maximum2.022348 × 1018
Range5.4007032 × 1016
Interquartile range (IQR)1.1001028 × 1016

Descriptive statistics

Standard deviation9.9629784 × 1015
Coefficient of variation (CV)0.0049695964
Kurtosis0.79123209
Mean2.0047862 × 1018
Median Absolute Deviation (MAD)4.000001 × 1015
Skewness-0.6267384
Sum8.9726204 × 1018
Variance9.9260938 × 1031
MonotonicityNot monotonic
2024-04-19T16:06:59.818689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1975341004602100001 1
 
0.1%
2000347001302220008 1
 
0.1%
2000347001302220011 1
 
0.1%
2000347001302220013 1
 
0.1%
2000347001302220014 1
 
0.1%
2002347001302200002 1
 
0.1%
2003347007502200002 1
 
0.1%
2000347001302220028 1
 
0.1%
2000347001302220029 1
 
0.1%
2000347001302220032 1
 
0.1%
Other values (841) 841
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 (%)
2022348036502200001 1
0.1%
2022348036502100003 1
0.1%
2022348036502100002 1
0.1%
2022348036502100001 1
0.1%
2022347018802100002 1
0.1%
2022347018802100001 1
0.1%
2022345016002100001 1
0.1%
2022342016202200006 1
0.1%
2022342016202200005 1
0.1%
2022342016202200004 1
0.1%

인허가일자
Real number (ℝ)

Distinct687
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20038144
Minimum19680528
Maximum20220916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:06:59.950623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19680528
5-th percentile19810663
Q119960118
median20070726
Q320111104
95-th percentile20191002
Maximum20220916
Range540388
Interquartile range (IQR)150986

Descriptive statistics

Standard deviation116356.59
Coefficient of variation (CV)0.0058067547
Kurtosis-0.34733333
Mean20038144
Median Absolute Deviation (MAD)69989
Skewness-0.64689312
Sum1.705246 × 1010
Variance1.3538855 × 1010
MonotonicityNot monotonic
2024-04-19T16:07:00.099863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180514 8
 
0.9%
20100729 7
 
0.8%
20171215 7
 
0.8%
20060616 7
 
0.8%
20220330 6
 
0.7%
20090908 6
 
0.7%
19820115 5
 
0.6%
20180201 4
 
0.5%
20050426 4
 
0.5%
20021104 4
 
0.5%
Other values (677) 793
93.2%
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 (%)
20220916 1
 
0.1%
20220830 1
 
0.1%
20220801 1
 
0.1%
20220725 1
 
0.1%
20220615 2
 
0.2%
20220428 1
 
0.1%
20220331 1
 
0.1%
20220330 6
0.7%
20211215 1
 
0.1%
20211206 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing851
Missing (%)100.0%
Memory size7.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
1
515 
3
326 
2
 
10

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 (%)
1 515
60.5%
3 326
38.3%
2 10
 
1.2%

Length

2024-04-19T16:07:00.218616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:07:00.317580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 515
60.5%
3 326
38.3%
2 10
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
영업/정상
515 
폐업
326 
휴업
 
10

Length

Max length5
Median length5
Mean length3.8155112
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 515
60.5%
폐업 326
38.3%
휴업 10
 
1.2%

Length

2024-04-19T16:07:00.418442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:07:00.516963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 515
60.5%
폐업 326
38.3%
휴업 10
 
1.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
1
515 
3
326 
2
 
10

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 (%)
1 515
60.5%
3 326
38.3%
2 10
 
1.2%

Length

2024-04-19T16:07:00.613610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:07:00.707234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 515
60.5%
3 326
38.3%
2 10
 
1.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
영업중
515 
폐업
326 
휴업
 
10

Length

Max length3
Median length3
Mean length2.6051704
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 515
60.5%
폐업 326
38.3%
휴업 10
 
1.2%

Length

2024-04-19T16:07:00.805869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:07:00.901172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 515
60.5%
폐업 326
38.3%
휴업 10
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct276
Distinct (%)87.3%
Missing535
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean20133899
Minimum20000531
Maximum20221006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:01.029675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000531
5-th percentile20030715
Q120090198
median20140456
Q320181024
95-th percentile20213448
Maximum20221006
Range220475
Interquartile range (IQR)90826

Descriptive statistics

Standard deviation59170.557
Coefficient of variation (CV)0.0029388523
Kurtosis-0.96094478
Mean20133899
Median Absolute Deviation (MAD)49705.5
Skewness-0.35686912
Sum6.3623122 × 109
Variance3.5011549 × 109
MonotonicityNot monotonic
2024-04-19T16:07:01.183741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050301 4
 
0.5%
20131007 3
 
0.4%
20190517 3
 
0.4%
20210719 3
 
0.4%
20070814 3
 
0.4%
20080704 3
 
0.4%
20181024 3
 
0.4%
20091130 3
 
0.4%
20091030 2
 
0.2%
20050511 2
 
0.2%
Other values (266) 287
33.7%
(Missing) 535
62.9%
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%
20021230 1
0.1%
ValueCountFrequency (%)
20221006 2
0.2%
20220907 1
0.1%
20220831 1
0.1%
20220704 1
0.1%
20220623 1
0.1%
20220620 1
0.1%
20220603 1
0.1%
20220509 1
0.1%
20220415 1
0.1%
20220126 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing829
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean20124853
Minimum20021126
Maximum20220727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:01.311291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021126
5-th percentile20041025
Q120060915
median20110706
Q320188492
95-th percentile20220595
Maximum20220727
Range199601
Interquartile range (IQR)127577.25

Descriptive statistics

Standard deviation70243.065
Coefficient of variation (CV)0.0034903641
Kurtosis-1.6675066
Mean20124853
Median Absolute Deviation (MAD)65237.5
Skewness0.11097555
Sum4.4274677 × 108
Variance4.9340882 × 109
MonotonicityNot monotonic
2024-04-19T16:07:01.425792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20181116 2
 
0.2%
20070601 1
 
0.1%
20201021 1
 
0.1%
20070110 1
 
0.1%
20110602 1
 
0.1%
20190923 1
 
0.1%
20050407 1
 
0.1%
20220727 1
 
0.1%
20220222 1
 
0.1%
20220615 1
 
0.1%
Other values (11) 11
 
1.3%
(Missing) 829
97.4%
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 (%)
20220727 1
0.1%
20220615 1
0.1%
20220222 1
0.1%
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%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing828
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean20129314
Minimum20020410
Maximum20230726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:01.543531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020410
5-th percentile20033056
Q120061031
median20120216
Q320200524
95-th percentile20230575
Maximum20230726
Range210316
Interquartile range (IQR)139493

Descriptive statistics

Standard deviation74295.846
Coefficient of variation (CV)0.0036909279
Kurtosis-1.6561457
Mean20129314
Median Absolute Deviation (MAD)69786
Skewness0.13267431
Sum4.6297422 × 108
Variance5.5198727 × 109
MonotonicityNot monotonic
2024-04-19T16:07:01.645839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20080530 1
 
0.1%
20210125 1
 
0.1%
20080110 1
 
0.1%
20120602 1
 
0.1%
20200517 1
 
0.1%
20050610 1
 
0.1%
20230726 1
 
0.1%
20230221 1
 
0.1%
20200531 1
 
0.1%
20200131 1
 
0.1%
Other values (13) 13
 
1.5%
(Missing) 828
97.3%
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 (%)
20230726 1
0.1%
20230614 1
0.1%
20230221 1
0.1%
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%

재개업일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing825
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean20172086
Minimum20070802
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:01.748926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070802
5-th percentile20120525
Q120140612
median20170368
Q320207895
95-th percentile20220783
Maximum20221031
Range150229
Interquartile range (IQR)67283.75

Descriptive statistics

Standard deviation40666.456
Coefficient of variation (CV)0.0020159767
Kurtosis-0.3283476
Mean20172086
Median Absolute Deviation (MAD)35287.5
Skewness-0.53902898
Sum5.2447423 × 108
Variance1.6537606 × 109
MonotonicityNot monotonic
2024-04-19T16:07:01.862973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20120525 2
 
0.2%
20130604 1
 
0.1%
20210126 1
 
0.1%
20200420 1
 
0.1%
20210429 1
 
0.1%
20140919 1
 
0.1%
20140509 1
 
0.1%
20150520 1
 
0.1%
20221031 1
 
0.1%
20200515 1
 
0.1%
Other values (15) 15
 
1.8%
(Missing) 825
96.9%
ValueCountFrequency (%)
20070802 1
0.1%
20120525 2
0.2%
20130102 1
0.1%
20130604 1
0.1%
20130628 1
0.1%
20140509 1
0.1%
20140919 1
0.1%
20150520 1
0.1%
20160415 1
0.1%
20160805 1
0.1%
ValueCountFrequency (%)
20221031 1
0.1%
20220801 1
0.1%
20220730 1
0.1%
20220429 1
0.1%
20220411 1
0.1%
20210429 1
0.1%
20210126 1
0.1%
20201203 1
0.1%
20200515 1
0.1%
20200420 1
0.1%

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing851
Missing (%)100.0%
Memory size7.6 KiB

소재지면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing835
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean9917.2062
Minimum0
Maximum49789
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:01.981305image/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
2024-04-19T16:07:02.082031image/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%
14413.0 1
 
0.1%
22.4 1
 
0.1%
29061.0 1
 
0.1%
4114.0 1
 
0.1%
5623.5 1
 
0.1%
290.9 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 835
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 

Missing851
Missing (%)100.0%
Memory size7.6 KiB

소재지전체주소
Text

MISSING 

Distinct639
Distinct (%)78.3%
Missing35
Missing (%)4.1%
Memory size6.8 KiB
2024-04-19T16:07:02.419630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length21.612745
Min length15

Characters and Unicode

Total characters17636
Distinct characters232
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique531 ?
Unique (%)65.1%

Sample

1st row대구광역시 중구 동인동1가 198-7
2nd row대구광역시 중구 태평로3가 200-23
3rd row대구광역시 중구 동인동4가 36-1
4th row대구광역시 중구 동문동 20-4 외 6필지
5th row대구광역시 중구 남일동 65-1 아카데미극장
ValueCountFrequency (%)
대구광역시 814
22.3%
달성군 237
 
6.5%
달서구 170
 
4.7%
북구 127
 
3.5%
논공읍 97
 
2.7%
중구 89
 
2.4%
동구 62
 
1.7%
수성구 60
 
1.6%
본리리 55
 
1.5%
구지면 46
 
1.3%
Other values (865) 1897
51.9%
2024-04-19T16:07:02.859644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3658
20.7%
구 1460
 
8.3%
대 942
 
5.3%
시 822
 
4.7%
역 817
 
4.6%
광 816
 
4.6%
1 675
 
3.8%
동 664
 
3.8%
- 552
 
3.1%
2 413
 
2.3%
Other values (222) 6817
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10086
57.2%
Space Separator 3658
 
20.7%
Decimal Number 3304
 
18.7%
Dash Punctuation 552
 
3.1%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Other Punctuation 8
 
< 0.1%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1460
14.5%
대 942
 
9.3%
시 822
 
8.1%
역 817
 
8.1%
광 816
 
8.1%
동 664
 
6.6%
달 410
 
4.1%
성 338
 
3.4%
리 319
 
3.2%
서 254
 
2.5%
Other values (205) 3244
32.2%
Decimal Number
ValueCountFrequency (%)
1 675
20.4%
2 413
12.5%
3 349
10.6%
0 306
9.3%
5 301
9.1%
4 279
8.4%
7 266
 
8.1%
8 252
 
7.6%
6 246
 
7.4%
9 217
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
L 4
50.0%
B 4
50.0%
Space Separator
ValueCountFrequency (%)
3658
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 552
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10086
57.2%
Common 7542
42.8%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1460
14.5%
대 942
 
9.3%
시 822
 
8.1%
역 817
 
8.1%
광 816
 
8.1%
동 664
 
6.6%
달 410
 
4.1%
성 338
 
3.4%
리 319
 
3.2%
서 254
 
2.5%
Other values (205) 3244
32.2%
Common
ValueCountFrequency (%)
3658
48.5%
1 675
 
8.9%
- 552
 
7.3%
2 413
 
5.5%
3 349
 
4.6%
0 306
 
4.1%
5 301
 
4.0%
4 279
 
3.7%
7 266
 
3.5%
8 252
 
3.3%
Other values (5) 491
 
6.5%
Latin
ValueCountFrequency (%)
L 4
50.0%
B 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10086
57.2%
ASCII 7550
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3658
48.5%
1 675
 
8.9%
- 552
 
7.3%
2 413
 
5.5%
3 349
 
4.6%
0 306
 
4.1%
5 301
 
4.0%
4 279
 
3.7%
7 266
 
3.5%
8 252
 
3.3%
Other values (7) 499
 
6.6%
Hangul
ValueCountFrequency (%)
구 1460
14.5%
대 942
 
9.3%
시 822
 
8.1%
역 817
 
8.1%
광 816
 
8.1%
동 664
 
6.6%
달 410
 
4.1%
성 338
 
3.4%
리 319
 
3.2%
서 254
 
2.5%
Other values (205) 3244
32.2%

도로명전체주소
Text

MISSING 

Distinct456
Distinct (%)79.4%
Missing277
Missing (%)32.5%
Memory size6.8 KiB
2024-04-19T16:07:03.192665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length24.977352
Min length19

Characters and Unicode

Total characters14337
Distinct characters246
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique382 ?
Unique (%)66.6%

Sample

1st row대구광역시 중구 태평로 79 (태평로3가)
2nd row대구광역시 중구 동덕로36길 74 (동인동4가)
3rd row대구광역시 중구 중앙대로 412 (남일동,아카데미극장)
4th row대구광역시 중구 북성로5길 31 (수창동)
5th row대구광역시 중구 동성로5길 25 (삼덕동1가,동인관광호텔)
ValueCountFrequency (%)
대구광역시 573
 
19.5%
달성군 189
 
6.4%
달서구 118
 
4.0%
북구 93
 
3.2%
논공읍 79
 
2.7%
중구 49
 
1.7%
수성구 42
 
1.4%
서구 36
 
1.2%
구지면 32
 
1.1%
논공로 31
 
1.1%
Other values (693) 1700
57.8%
2024-04-19T16:07:03.687520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2476
 
17.3%
구 1052
 
7.3%
대 741
 
5.2%
시 580
 
4.0%
역 577
 
4.0%
광 575
 
4.0%
로 560
 
3.9%
동 486
 
3.4%
1 406
 
2.8%
달 393
 
2.7%
Other values (236) 6491
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8952
62.4%
Space Separator 2476
 
17.3%
Decimal Number 2001
 
14.0%
Open Punctuation 389
 
2.7%
Close Punctuation 389
 
2.7%
Other Punctuation 72
 
0.5%
Dash Punctuation 53
 
0.4%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1052
 
11.8%
대 741
 
8.3%
시 580
 
6.5%
역 577
 
6.4%
광 575
 
6.4%
로 560
 
6.3%
동 486
 
5.4%
달 393
 
4.4%
성 363
 
4.1%
서 276
 
3.1%
Other values (218) 3349
37.4%
Decimal Number
ValueCountFrequency (%)
1 406
20.3%
2 282
14.1%
3 227
11.3%
5 191
9.5%
4 182
9.1%
0 173
8.6%
6 171
8.5%
7 145
 
7.2%
8 112
 
5.6%
9 112
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
T 2
40.0%
I 2
40.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
2476
100.0%
Open Punctuation
ValueCountFrequency (%)
( 389
100.0%
Close Punctuation
ValueCountFrequency (%)
) 389
100.0%
Other Punctuation
ValueCountFrequency (%)
, 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8952
62.4%
Common 5380
37.5%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1052
 
11.8%
대 741
 
8.3%
시 580
 
6.5%
역 577
 
6.4%
광 575
 
6.4%
로 560
 
6.3%
동 486
 
5.4%
달 393
 
4.4%
성 363
 
4.1%
서 276
 
3.1%
Other values (218) 3349
37.4%
Common
ValueCountFrequency (%)
2476
46.0%
1 406
 
7.5%
( 389
 
7.2%
) 389
 
7.2%
2 282
 
5.2%
3 227
 
4.2%
5 191
 
3.6%
4 182
 
3.4%
0 173
 
3.2%
6 171
 
3.2%
Other values (5) 494
 
9.2%
Latin
ValueCountFrequency (%)
T 2
40.0%
I 2
40.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8952
62.4%
ASCII 5385
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2476
46.0%
1 406
 
7.5%
( 389
 
7.2%
) 389
 
7.2%
2 282
 
5.2%
3 227
 
4.2%
5 191
 
3.5%
4 182
 
3.4%
0 173
 
3.2%
6 171
 
3.2%
Other values (8) 499
 
9.3%
Hangul
ValueCountFrequency (%)
구 1052
 
11.8%
대 741
 
8.3%
시 580
 
6.5%
역 577
 
6.4%
광 575
 
6.4%
로 560
 
6.3%
동 486
 
5.4%
달 393
 
4.4%
성 363
 
4.1%
서 276
 
3.1%
Other values (218) 3349
37.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)62.8%
Missing714
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean71738.934
Minimum41009
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:03.816462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41009
5-th percentile41373.2
Q141909
median42715
Q342982
95-th percentile43014.4
Maximum711892
Range670883
Interquartile range (IQR)1073

Descriptive statistics

Standard deviation137494.91
Coefficient of variation (CV)1.9166009
Kurtosis18.593485
Mean71738.934
Median Absolute Deviation (MAD)293
Skewness4.5079648
Sum9828234
Variance1.890485 × 1010
MonotonicityNot monotonic
2024-04-19T16:07:04.208687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43013 7
 
0.8%
42725 6
 
0.7%
42982 5
 
0.6%
43011 5
 
0.6%
43008 5
 
0.6%
41515 4
 
0.5%
42921 4
 
0.5%
711857 3
 
0.4%
42984 3
 
0.4%
41755 3
 
0.4%
Other values (76) 92
 
10.8%
(Missing) 714
83.9%
ValueCountFrequency (%)
41009 1
0.1%
41052 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%
ValueCountFrequency (%)
711892 1
 
0.1%
711891 1
 
0.1%
711857 3
0.4%
711712 1
 
0.1%
43020 1
 
0.1%
43013 7
0.8%
43011 5
0.6%
43010 1
 
0.1%
43008 5
0.6%
43003 1
 
0.1%

사업장명
Text

Distinct668
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-04-19T16:07:04.447612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length9.1151586
Min length3

Characters and Unicode

Total characters7757
Distinct characters419
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

Unique558 ?
Unique (%)65.6%

Sample

1st row대동에어젠
2nd row고려상사
3rd row매일종합가스
4th row동아아울렛 동문본점
5th row아카데미극장
ValueCountFrequency (%)
주식회사 27
 
2.6%
평화오일씰공업(주 14
 
1.4%
대구텍 10
 
1.0%
주)이마트 10
 
1.0%
대구공장 9
 
0.9%
유한회사 8
 
0.8%
펜퍼스픽이엔씨(주 7
 
0.7%
에스트라오토모티브시스템 6
 
0.6%
주)코스트코 6
 
0.6%
계명대학교 6
 
0.6%
Other values (725) 932
90.0%
2024-04-19T16:07:04.807194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 434
 
5.6%
( 433
 
5.6%
주 429
 
5.5%
대 313
 
4.0%
스 237
 
3.1%
구 203
 
2.6%
184
 
2.4%
가 151
 
1.9%
공 123
 
1.6%
사 113
 
1.5%
Other values (409) 5137
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6471
83.4%
Close Punctuation 434
 
5.6%
Open Punctuation 433
 
5.6%
Space Separator 184
 
2.4%
Decimal Number 115
 
1.5%
Uppercase Letter 93
 
1.2%
Lowercase Letter 16
 
0.2%
Dash Punctuation 6
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 429
 
6.6%
대 313
 
4.8%
스 237
 
3.7%
구 203
 
3.1%
가 151
 
2.3%
공 123
 
1.9%
사 113
 
1.7%
이 110
 
1.7%
업 104
 
1.6%
동 103
 
1.6%
Other values (361) 4585
70.9%
Uppercase Letter
ValueCountFrequency (%)
C 14
15.1%
G 9
9.7%
S 9
9.7%
T 8
 
8.6%
F 7
 
7.5%
N 6
 
6.5%
A 5
 
5.4%
E 5
 
5.4%
K 5
 
5.4%
R 3
 
3.2%
Other values (11) 22
23.7%
Lowercase Letter
ValueCountFrequency (%)
s 5
31.2%
k 2
 
12.5%
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%
a 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 54
47.0%
9 21
 
18.3%
2 15
 
13.0%
5 5
 
4.3%
3 5
 
4.3%
6 5
 
4.3%
7 4
 
3.5%
8 3
 
2.6%
4 3
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 2
40.0%
, 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 433
100.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6471
83.4%
Common 1177
 
15.2%
Latin 109
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 429
 
6.6%
대 313
 
4.8%
스 237
 
3.7%
구 203
 
3.1%
가 151
 
2.3%
공 123
 
1.9%
사 113
 
1.7%
이 110
 
1.7%
업 104
 
1.6%
동 103
 
1.6%
Other values (361) 4585
70.9%
Latin
ValueCountFrequency (%)
C 14
 
12.8%
G 9
 
8.3%
S 9
 
8.3%
T 8
 
7.3%
F 7
 
6.4%
N 6
 
5.5%
A 5
 
4.6%
E 5
 
4.6%
K 5
 
4.6%
s 5
 
4.6%
Other values (22) 36
33.0%
Common
ValueCountFrequency (%)
) 434
36.9%
( 433
36.8%
184
15.6%
1 54
 
4.6%
9 21
 
1.8%
2 15
 
1.3%
- 6
 
0.5%
5 5
 
0.4%
3 5
 
0.4%
6 5
 
0.4%
Other values (6) 15
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6471
83.4%
ASCII 1286
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 434
33.7%
( 433
33.7%
184
14.3%
1 54
 
4.2%
9 21
 
1.6%
2 15
 
1.2%
C 14
 
1.1%
G 9
 
0.7%
S 9
 
0.7%
T 8
 
0.6%
Other values (38) 105
 
8.2%
Hangul
ValueCountFrequency (%)
주 429
 
6.6%
대 313
 
4.8%
스 237
 
3.7%
구 203
 
3.1%
가 151
 
2.3%
공 123
 
1.9%
사 113
 
1.7%
이 110
 
1.7%
업 104
 
1.6%
동 103
 
1.6%
Other values (361) 4585
70.9%

최종수정시점
Real number (ℝ)

Distinct841
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0159106 × 1013
Minimum2.0000428 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:04.940259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000428 × 1013
5-th percentile2.0060226 × 1013
Q12.0130961 × 1013
median2.0180313 × 1013
Q32.0200828 × 1013
95-th percentile2.0220614 × 1013
Maximum2.0221031 × 1013
Range2.2060315 × 1011
Interquartile range (IQR)6.9867025 × 1010

Descriptive statistics

Standard deviation5.4766589 × 1010
Coefficient of variation (CV)0.0027167171
Kurtosis0.27310594
Mean2.0159106 × 1013
Median Absolute Deviation (MAD)3.0218055 × 1010
Skewness-1.01321
Sum1.7155399 × 1016
Variance2.9993792 × 1021
MonotonicityNot monotonic
2024-04-19T16:07:05.065552image/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%
20191022102551 1
 
0.1%
20150119163643 1
 
0.1%
20070528000000 1
 
0.1%
20181214142139 1
 
0.1%
20191022102642 1
 
0.1%
20191022145618 1
 
0.1%
20061010000000 1
 
0.1%
Other values (831) 831
97.6%
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%
20011126000000 1
 
0.1%
ValueCountFrequency (%)
20221031152154 1
0.1%
20221031110413 1
0.1%
20221021131236 1
0.1%
20221019085730 1
0.1%
20221018141140 1
0.1%
20221006154047 1
0.1%
20221006135621 1
0.1%
20221004095223 1
0.1%
20220926104913 1
0.1%
20220923162334 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
I
530 
U
321 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 530
62.3%
U 321
37.7%

Length

2024-04-19T16:07:05.192253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:07:05.285429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 530
62.3%
u 321
37.7%

데이터갱신일자
Date

Distinct277
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 02:40:00
2024-04-19T16:07:05.385353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T16:07:05.521940image/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 size6.8 KiB
제조
562 
저장소
173 
판매
116 

Length

Max length3
Median length2
Mean length2.2032902
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 562
66.0%
저장소 173
 
20.3%
판매 116
 
13.6%

Length

2024-04-19T16:07:05.648764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:07:05.755039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 562
66.0%
저장소 173
 
20.3%
판매 116
 
13.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct499
Distinct (%)71.2%
Missing150
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean338728.17
Minimum197728.37
Maximum357185.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:05.877341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197728.37
5-th percentile328533.64
Q1333070.51
median339360.5
Q3344280.76
95-th percentile348840
Maximum357185.65
Range159457.28
Interquartile range (IQR)11210.246

Descriptive statistics

Standard deviation9703.4873
Coefficient of variation (CV)0.028646827
Kurtosis71.504668
Mean338728.17
Median Absolute Deviation (MAD)5507.1434
Skewness-5.6746007
Sum2.3744845 × 108
Variance94157666
MonotonicityNot monotonic
2024-04-19T16:07:06.012241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347154.975659 13
 
1.5%
345144.121523 11
 
1.3%
331330.5204 9
 
1.1%
335874.207251 7
 
0.8%
331841.770251 6
 
0.7%
341586.9551 5
 
0.6%
343157.682044 5
 
0.6%
353806.683658 5
 
0.6%
332651.312578 5
 
0.6%
332127.720423 5
 
0.6%
Other values (489) 630
74.0%
(Missing) 150
 
17.6%
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%
325679.505053 1
0.1%
325818.474331 1
0.1%
325962.159745 1
0.1%
326223.476478 1
0.1%
326352.719503 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 

Distinct499
Distinct (%)71.2%
Missing150
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean260652.09
Minimum237692.77
Maximum451030.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-19T16:07:06.150908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237692.77
5-th percentile240271.18
Q1256414.71
median262062.67
Q3265123.49
95-th percentile269969.01
Maximum451030.85
Range213338.09
Interquartile range (IQR)8708.7866

Descriptive statistics

Standard deviation13820.047
Coefficient of variation (CV)0.053021048
Kurtosis78.736344
Mean260652.09
Median Absolute Deviation (MAD)3400.7658
Skewness6.6684145
Sum1.8271712 × 108
Variance1.909937 × 108
MonotonicityNot monotonic
2024-04-19T16:07:06.275618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256414.706903 13
 
1.5%
263145.386419 11
 
1.3%
249378.513866 9
 
1.1%
258661.902888 7
 
0.8%
249503.543267 6
 
0.7%
261584.170369 5
 
0.6%
261957.795169 5
 
0.6%
275609.647578 5
 
0.6%
249603.913215 5
 
0.6%
249290.728959 5
 
0.6%
Other values (489) 630
74.0%
(Missing) 150
 
17.6%
ValueCountFrequency (%)
237692.765575 4
0.5%
237863.093552 3
0.4%
237979.635138 1
 
0.1%
237979.750002 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%
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%
275609.647578 5
0.6%
275266.995373 1
 
0.1%
274936.787277 1
 
0.1%
274001.175164 4
0.5%

제조구분명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
냉동
432 
일반
227 
<NA>
122 
충전
66 
특정
 
4

Length

Max length4
Median length2
Mean length2.2867215
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 432
50.8%
일반 227
26.7%
<NA> 122
 
14.3%
충전 66
 
7.8%
특정 4
 
0.5%

Length

2024-04-19T16:07:06.402603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:07:06.533475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 432
50.8%
일반 227
26.7%
na 122
 
14.3%
충전 66
 
7.8%
특정 4
 
0.5%

사업장부지용도구분명
Categorical

Distinct35
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
261 
공업용
95 
주거용
78 
상업.업무용
77 
지정되지않음
60 
Other values (30)
280 

Length

Max length7
Median length6
Mean length3.9717979
Min length1

Unique

Unique7 ?
Unique (%)0.8%

Sample

1st row상업용
2nd row상업용
3rd row연립
4th row상업용
5th row상업.업무용

Common Values

ValueCountFrequency (%)
<NA> 261
30.7%
공업용 95
 
11.2%
주거용 78
 
9.2%
상업.업무용 77
 
9.0%
지정되지않음 60
 
7.1%
상업용 36
 
4.2%
공업나지 26
 
3.1%
주상나지 26
 
3.1%
기타 22
 
2.6%
다세대 21
 
2.5%
Other values (25) 149
17.5%

Length

2024-04-19T16:07:06.670715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 261
30.7%
공업용 95
 
11.2%
주거용 78
 
9.2%
상업.업무용 77
 
9.0%
지정되지않음 60
 
7.1%
상업용 36
 
4.2%
공업나지 26
 
3.1%
주상나지 26
 
3.1%
기타 22
 
2.6%
다세대 21
 
2.5%
Other values (25) 149
17.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
01고압가스업09_28_05_P3410000197534100460210000119750902<NA>3폐업3폐업20210105<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동1가 198-7<NA><NA>대동에어젠20210107141341U2021-01-09 02:40:00.0판매344676.01683264837.178117일반상업용
12고압가스업09_28_05_P3410000197534100460210000619750902<NA>3폐업3폐업20050224<NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로3가 200-23대구광역시 중구 태평로 79 (태평로3가)<NA>고려상사20070816103032I2018-08-31 23:59:59.0판매343217.309248265231.299717일반상업용
23고압가스업09_28_05_P3410000197634100460210000219760929<NA>3폐업3폐업20040220<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 36-1대구광역시 중구 동덕로36길 74 (동인동4가)<NA>매일종합가스20070816101243I2018-08-31 23:59:59.0판매345179.444965264459.030707일반연립
34고압가스업09_28_05_P3410000197634100460210001119760716<NA>3폐업3폐업20200331<NA><NA><NA><NA><NA><NA>대구광역시 중구 동문동 20-4 외 6필지<NA><NA>동아아울렛 동문본점20200401162951U2020-04-03 02:40:00.0제조344148.352033264812.35373냉동상업용
45고압가스업09_28_05_P3410000197934100460210000219790626<NA>3폐업3폐업20001117<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1 아카데미극장대구광역시 중구 중앙대로 412 (남일동,아카데미극장)<NA>아카데미극장20070814135857I2018-08-31 23:59:59.0제조343908.683407264477.417036냉동상업.업무용
56고압가스업09_28_05_P3410000197934100460210000419790109<NA>3폐업3폐업20060807<NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 56-9대구광역시 중구 북성로5길 31 (수창동)<NA>영가스사20070816102442I2018-08-31 23:59:59.0판매343058.102023265031.479188일반상업나지
67고압가스업09_28_05_P3410000197934100460220000119790319<NA>3폐업3폐업20030714<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 5-2 동인관광호텔대구광역시 중구 동성로5길 25 (삼덕동1가,동인관광호텔)<NA>동인관광호텔(주)20070814135648I2018-08-31 23:59:59.0제조344075.953606264266.216087냉동상업.업무용
78고압가스업09_28_05_P3410000198034100460210000519801204<NA>3폐업3폐업20041020<NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 710-4대구광역시 중구 명덕로 233 (대봉동)<NA>대성가스상사20070816102819I2018-08-31 23:59:59.0판매344074.001209263007.455034일반상업나지
89고압가스업09_28_05_P3410000198034100460210001319800916<NA>3폐업3폐업20111107<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 174 대구백화점건물대구광역시 중구 동성로 30 (동성로2가)<NA>대구백화점(주)20120625133116I2018-08-31 23:59:59.0제조344066.98467264414.299416냉동상업용
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842843고압가스업09_28_05_P3480000201934803650210000620191219<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 1-93대구광역시 달성군 논공읍 논공로 30642984에이브이오카본코리아(주)20201112133627U2020-11-14 02:40:00.0저장소331861.337492248474.553703<NA><NA>
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844845고압가스업09_28_05_P3480000200334802910220000120090130<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 29-12대구광역시 달성군 논공읍 논공로 465<NA>(주)비락 대구공장20191018102547I2019-10-20 00:22:54.0제조332651.312578249603.913215냉동<NA>
845846고압가스업09_28_05_P3480000201934803650220000520191002<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 응암리 1285<NA><NA>환경부(물산업클러스터)20191018102248I2019-10-20 00:22:54.0제조328448.180044239455.191356냉동<NA>
846847고압가스업09_28_05_P3480000201934803650220000920191002<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 응암리 1285대구광역시 달성군 구지면 국가산단대로40길 2043008환경부(물산업클러스터)20191002100301I2019-10-04 02:22:41.0제조328448.180044239455.191356냉동<NA>
847848고압가스업09_28_05_P3480000201934803650210000520191111<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 방천리 364<NA><NA>인투코어테크놀로지 주식회사20200820151511U2020-08-22 02:40:00.0제조336653.951676264979.867018일반<NA>
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