Overview

Dataset statistics

Number of variables30
Number of observations795
Missing cells7328
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory200.4 KiB
Average record size in memory258.2 B

Variable types

Numeric13
Categorical10
Unsupported3
Text3
DateTime1

Dataset

Description6270000_대구광역시_09_28_05_P_고압가스업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085949&dataSetDetailId=DDI_0000086007&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
인허가취소일자 has 795 (100.0%) missing valuesMissing
폐업일자 has 516 (64.9%) missing valuesMissing
휴업시작일자 has 777 (97.7%) missing valuesMissing
휴업종료일자 has 776 (97.6%) missing valuesMissing
재개업일자 has 777 (97.7%) missing valuesMissing
소재지전화 has 795 (100.0%) missing valuesMissing
소재지면적 has 779 (98.0%) missing valuesMissing
소재지우편번호 has 795 (100.0%) missing valuesMissing
소재지전체주소 has 36 (4.5%) missing valuesMissing
도로명전체주소 has 284 (35.7%) missing valuesMissing
도로명우편번호 has 706 (88.8%) missing valuesMissing
좌표정보(X) has 146 (18.4%) missing valuesMissing
좌표정보(Y) has 146 (18.4%) 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 started2024-04-18 03:34:53.342537
Analysis finished2024-04-18 03:34:53.991903
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct795
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean398
Minimum1
Maximum795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:54.057961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.7
Q1199.5
median398
Q3596.5
95-th percentile755.3
Maximum795
Range794
Interquartile range (IQR)397

Descriptive statistics

Standard deviation229.64102
Coefficient of variation (CV)0.5769875
Kurtosis-1.2
Mean398
Median Absolute Deviation (MAD)199
Skewness0
Sum316410
Variance52735
MonotonicityStrictly increasing
2024-04-18T12:34:54.228031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
524 1
 
0.1%
526 1
 
0.1%
527 1
 
0.1%
528 1
 
0.1%
529 1
 
0.1%
530 1
 
0.1%
531 1
 
0.1%
532 1
 
0.1%
533 1
 
0.1%
Other values (785) 785
98.7%
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 (%)
795 1
0.1%
794 1
0.1%
793 1
0.1%
792 1
0.1%
791 1
0.1%
790 1
0.1%
789 1
0.1%
788 1
0.1%
787 1
0.1%
786 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
고압가스업
795 

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 795
100.0%

Length

2024-04-18T12:34:54.368239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:34:54.465309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스업 795
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
09_28_05_P
795 

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 795
100.0%

Length

2024-04-18T12:34:54.559259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:34:54.647507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_05_p 795
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3454842.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:54.730267image/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 deviation24460.304
Coefficient of variation (CV)0.007080005
Kurtosis-0.94257871
Mean3454842.8
Median Absolute Deviation (MAD)20000
Skewness-0.66993325
Sum2.7466 × 109
Variance5.9830648 × 108
MonotonicityIncreasing
2024-04-18T12:34:54.833532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3480000 216
27.2%
3470000 170
21.4%
3450000 120
15.1%
3410000 95
11.9%
3460000 66
 
8.3%
3420000 58
 
7.3%
3430000 45
 
5.7%
3440000 25
 
3.1%
ValueCountFrequency (%)
3410000 95
11.9%
3420000 58
 
7.3%
3430000 45
 
5.7%
3440000 25
 
3.1%
3450000 120
15.1%
3460000 66
 
8.3%
3470000 170
21.4%
3480000 216
27.2%
ValueCountFrequency (%)
3480000 216
27.2%
3470000 170
21.4%
3460000 66
 
8.3%
3450000 120
15.1%
3440000 25
 
3.1%
3430000 45
 
5.7%
3420000 58
 
7.3%
3410000 95
11.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct795
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.003904 × 1018
Minimum1.968341 × 1018
Maximum2.020347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:54.992501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9823424 × 1018
Q12.000347 × 1018
median2.003343 × 1018
Q32.010345 × 1018
95-th percentile2.018347 × 1018
Maximum2.020347 × 1018
Range5.2006013 × 1016
Interquartile range (IQR)9.9980086 × 1015

Descriptive statistics

Standard deviation9.5360765 × 1015
Coefficient of variation (CV)0.0047587492
Kurtosis1.0509901
Mean2.003904 × 1018
Median Absolute Deviation (MAD)3.0050045 × 1015
Skewness-0.73404514
Sum6.6836774 × 1018
Variance9.0936756 × 1031
MonotonicityNot monotonic
2024-04-18T12:34:55.139367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018341013002100001 1
 
0.1%
2000347001302100086 1
 
0.1%
2000347001302220016 1
 
0.1%
2000347001302220018 1
 
0.1%
2002347001302100004 1
 
0.1%
2000347001302100098 1
 
0.1%
2000347001302140015 1
 
0.1%
2000347001302220007 1
 
0.1%
2000347001302220009 1
 
0.1%
2000347001302220011 1
 
0.1%
Other values (785) 785
98.7%
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 (%)
2020347018002100002 1
0.1%
2020347018002100001 1
0.1%
2020345016002100001 1
0.1%
2019348036502200009 1
0.1%
2019348036502200005 1
0.1%
2019348036502200003 1
0.1%
2019348036502200002 1
0.1%
2019348036502200001 1
0.1%
2019348036502100007 1
0.1%
2019348036502100006 1
0.1%

인허가일자
Real number (ℝ)

Distinct651
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20029101
Minimum19680528
Maximum20200331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:55.272254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19680528
5-th percentile19810479
Q119950408
median20060616
Q320101215
95-th percentile20180514
Maximum20200331
Range519803
Interquartile range (IQR)150807

Descriptive statistics

Standard deviation113366.51
Coefficient of variation (CV)0.0056600899
Kurtosis-0.36741162
Mean20029101
Median Absolute Deviation (MAD)69513
Skewness-0.68052753
Sum1.5923135 × 1010
Variance1.2851966 × 1010
MonotonicityNot monotonic
2024-04-18T12:34:55.418200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180514 8
 
1.0%
20171215 7
 
0.9%
20100729 7
 
0.9%
19820115 5
 
0.6%
20090908 5
 
0.6%
20060616 5
 
0.6%
20050426 4
 
0.5%
20180201 4
 
0.5%
20021104 4
 
0.5%
19920810 3
 
0.4%
Other values (641) 743
93.5%
ValueCountFrequency (%)
19680528 2
0.3%
19740604 1
0.1%
19740910 1
0.1%
19750902 2
0.3%
19760226 1
0.1%
19760716 1
0.1%
19760806 1
0.1%
19760916 2
0.3%
19760929 1
0.1%
19761210 1
0.1%
ValueCountFrequency (%)
20200331 1
0.1%
20200122 1
0.1%
20191223 1
0.1%
20191220 1
0.1%
20191219 1
0.1%
20191206 1
0.1%
20191111 1
0.1%
20191105 2
0.3%
20191002 2
0.3%
20190918 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing795
Missing (%)100.0%
Memory size7.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
505 
3
284 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 505
63.5%
3 284
35.7%
2 6
 
0.8%

Length

2024-04-18T12:34:55.563580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:34:55.667435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 505
63.5%
3 284
35.7%
2 6
 
0.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업/정상
505 
폐업
284 
휴업
 
6

Length

Max length5
Median length5
Mean length3.9056604
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row휴업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 505
63.5%
폐업 284
35.7%
휴업 6
 
0.8%

Length

2024-04-18T12:34:55.775488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:34:55.876212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 505
63.5%
폐업 284
35.7%
휴업 6
 
0.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
505 
3
284 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 505
63.5%
3 284
35.7%
2 6
 
0.8%

Length

2024-04-18T12:34:55.970224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:34:56.069821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 505
63.5%
3 284
35.7%
2 6
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업중
505 
폐업
284 
휴업
 
6

Length

Max length3
Median length3
Mean length2.6352201
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 505
63.5%
폐업 284
35.7%
휴업 6
 
0.8%

Length

2024-04-18T12:34:56.183436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:34:56.299284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 505
63.5%
폐업 284
35.7%
휴업 6
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct244
Distinct (%)87.5%
Missing516
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean20118635
Minimum20000531
Maximum20200813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:56.412863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000531
5-th percentile20030572
Q120080666
median20120711
Q320170310
95-th percentile20190635
Maximum20200813
Range200282
Interquartile range (IQR)89644.5

Descriptive statistics

Standard deviation53579.466
Coefficient of variation (CV)0.002663176
Kurtosis-1.014619
Mean20118635
Median Absolute Deviation (MAD)40509
Skewness-0.25888822
Sum5.6130991 × 109
Variance2.8707592 × 109
MonotonicityNot monotonic
2024-04-18T12:34:56.568204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050301 4
 
0.5%
20080704 3
 
0.4%
20190517 3
 
0.4%
20091130 3
 
0.4%
20131007 3
 
0.4%
20181024 3
 
0.4%
20070814 3
 
0.4%
20010518 2
 
0.3%
20130628 2
 
0.3%
20060807 2
 
0.3%
Other values (234) 251
31.6%
(Missing) 516
64.9%
ValueCountFrequency (%)
20000531 1
0.1%
20000711 1
0.1%
20001117 1
0.1%
20010324 1
0.1%
20010518 2
0.3%
20010723 1
0.1%
20010917 1
0.1%
20020528 1
0.1%
20020710 1
0.1%
20021104 1
0.1%
ValueCountFrequency (%)
20200813 1
0.1%
20200805 1
0.1%
20200703 1
0.1%
20200331 1
0.1%
20200302 2
0.3%
20200229 1
0.1%
20200210 1
0.1%
20200123 1
0.1%
20191016 1
0.1%
20191015 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing777
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean20104104
Minimum20021126
Maximum20200429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:56.689006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021126
5-th percentile20037620
Q120053493
median20090409
Q320168589
95-th percentile20192349
Maximum20200429
Range179303
Interquartile range (IQR)115096.25

Descriptive statistics

Standard deviation59874.735
Coefficient of variation (CV)0.0029782344
Kurtosis-1.3511616
Mean20104104
Median Absolute Deviation (MAD)39790
Skewness0.43723822
Sum3.6187388 × 108
Variance3.5849839 × 109
MonotonicityNot monotonic
2024-04-18T12:34:56.800826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20181116 2
 
0.3%
20110811 1
 
0.1%
20200429 1
 
0.1%
20070110 1
 
0.1%
20110602 1
 
0.1%
20190923 1
 
0.1%
20050407 1
 
0.1%
20181201 1
 
0.1%
20070601 1
 
0.1%
20060914 1
 
0.1%
Other values (7) 7
 
0.9%
(Missing) 777
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 (%)
20200429 1
0.1%
20190923 1
0.1%
20181201 1
0.1%
20181116 2
0.3%
20131008 1
0.1%
20110811 1
0.1%
20110602 1
0.1%
20110217 1
0.1%
20070601 1
0.1%
20070110 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing776
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean20108538
Minimum20020410
Maximum20210428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:56.917807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020410
5-th percentile20030054
Q120060630
median20080530
Q320166068
95-th percentile20201521
Maximum20210428
Range190018
Interquartile range (IQR)105438

Descriptive statistics

Standard deviation64204.701
Coefficient of variation (CV)0.0031929074
Kurtosis-1.2588368
Mean20108538
Median Absolute Deviation (MAD)39686
Skewness0.47389716
Sum3.8206223 × 108
Variance4.1222436 × 109
MonotonicityNot monotonic
2024-04-18T12:34:57.030174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20111231 1
 
0.1%
20210428 1
 
0.1%
20080110 1
 
0.1%
20120602 1
 
0.1%
20200517 1
 
0.1%
20050610 1
 
0.1%
20200531 1
 
0.1%
20200131 1
 
0.1%
20191130 1
 
0.1%
20080530 1
 
0.1%
Other values (9) 9
 
1.1%
(Missing) 776
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 (%)
20210428 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%
20080530 1
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing777
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean20156019
Minimum20070802
Maximum20200515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:57.146576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070802
5-th percentile20113067
Q120130610
median20160610
Q320185204
95-th percentile20200434
Maximum20200515
Range129713
Interquartile range (IQR)54594.25

Descriptive statistics

Standard deviation34250.572
Coefficient of variation (CV)0.0016992727
Kurtosis0.60832421
Mean20156019
Median Absolute Deviation (MAD)29846
Skewness-0.74594077
Sum3.6280835 × 108
Variance1.1731017 × 109
MonotonicityNot monotonic
2024-04-18T12:34:57.261762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20120525 2
 
0.3%
20190620 1
 
0.1%
20200420 1
 
0.1%
20150520 1
 
0.1%
20200515 1
 
0.1%
20160805 1
 
0.1%
20170511 1
 
0.1%
20070802 1
 
0.1%
20130604 1
 
0.1%
20160415 1
 
0.1%
Other values (7) 7
 
0.9%
(Missing) 777
97.7%
ValueCountFrequency (%)
20070802 1
0.1%
20120525 2
0.3%
20130102 1
0.1%
20130604 1
0.1%
20130628 1
0.1%
20150520 1
0.1%
20150603 1
0.1%
20160415 1
0.1%
20160805 1
0.1%
20170106 1
0.1%
ValueCountFrequency (%)
20200515 1
0.1%
20200420 1
0.1%
20190620 1
0.1%
20190320 1
0.1%
20190102 1
0.1%
20170511 1
0.1%
20170224 1
0.1%
20170106 1
0.1%
20160805 1
0.1%
20160415 1
0.1%

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing795
Missing (%)100.0%
Memory size7.1 KiB

소재지면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing779
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean9924.8462
Minimum0
Maximum49789
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:57.380626image/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 deviation13186.151
Coefficient of variation (CV)1.3286001
Kurtosis5.2330499
Mean9924.8462
Median Absolute Deviation (MAD)7061.05
Skewness2.1607244
Sum158797.54
Variance1.7387459 × 108
MonotonicityNot monotonic
2024-04-18T12:34:57.493892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
10075.0 2
 
0.3%
9143.3 2
 
0.3%
49789.0 1
 
0.1%
165.0 1
 
0.1%
4114.0 1
 
0.1%
5623.5 1
 
0.1%
290.9 1
 
0.1%
29061.0 1
 
0.1%
22.4 1
 
0.1%
14413.0 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 779
98.0%
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%
1444.24 1
0.1%
4114.0 1
0.1%
5623.5 1
0.1%
9143.3 2
0.3%
10075.0 2
0.3%
ValueCountFrequency (%)
49789.0 1
0.1%
29061.0 1
0.1%
15229.5 1
0.1%
14413.0 1
0.1%
10075.0 2
0.3%
9143.3 2
0.3%
5623.5 1
0.1%
4114.0 1
0.1%
1444.24 1
0.1%
290.9 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing795
Missing (%)100.0%
Memory size7.1 KiB

소재지전체주소
Text

MISSING 

Distinct601
Distinct (%)79.2%
Missing36
Missing (%)4.5%
Memory size6.3 KiB
2024-04-18T12:34:57.777896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length23.321476
Min length17

Characters and Unicode

Total characters17701
Distinct characters227
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

Unique507 ?
Unique (%)66.8%

Sample

1st row대구광역시 중구 대봉동 655-1번지
2nd row대구광역시 중구 동인동4가 55번지
3rd row대구광역시 중구 동산동 194
4th row대구광역시 중구 동산동 6-2번지
5th row대구광역시 중구 동산동 194번지
ValueCountFrequency (%)
대구광역시 757
22.4%
달성군 206
 
6.1%
달서구 160
 
4.7%
북구 120
 
3.6%
중구 91
 
2.7%
논공읍 84
 
2.5%
수성구 62
 
1.8%
동구 52
 
1.5%
본리리 47
 
1.4%
서구 43
 
1.3%
Other values (826) 1757
52.0%
2024-04-18T12:34:58.193954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3381
19.1%
구 1367
 
7.7%
대 877
 
5.0%
지 787
 
4.4%
시 764
 
4.3%
광 759
 
4.3%
역 758
 
4.3%
번 726
 
4.1%
1 627
 
3.5%
동 625
 
3.5%
Other values (217) 7030
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10692
60.4%
Space Separator 3381
 
19.1%
Decimal Number 3083
 
17.4%
Dash Punctuation 516
 
2.9%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1367
12.8%
대 877
 
8.2%
지 787
 
7.4%
시 764
 
7.1%
광 759
 
7.1%
역 758
 
7.1%
번 726
 
6.8%
동 625
 
5.8%
달 367
 
3.4%
성 308
 
2.9%
Other values (200) 3354
31.4%
Decimal Number
ValueCountFrequency (%)
1 627
20.3%
2 392
12.7%
3 337
10.9%
5 285
9.2%
0 282
9.1%
4 250
 
8.1%
7 247
 
8.0%
8 230
 
7.5%
6 229
 
7.4%
9 204
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%
Space Separator
ValueCountFrequency (%)
3381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 516
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10692
60.4%
Common 7003
39.6%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1367
12.8%
대 877
 
8.2%
지 787
 
7.4%
시 764
 
7.1%
광 759
 
7.1%
역 758
 
7.1%
번 726
 
6.8%
동 625
 
5.8%
달 367
 
3.4%
성 308
 
2.9%
Other values (200) 3354
31.4%
Common
ValueCountFrequency (%)
3381
48.3%
1 627
 
9.0%
- 516
 
7.4%
2 392
 
5.6%
3 337
 
4.8%
5 285
 
4.1%
0 282
 
4.0%
4 250
 
3.6%
7 247
 
3.5%
8 230
 
3.3%
Other values (5) 456
 
6.5%
Latin
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10692
60.4%
ASCII 7009
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3381
48.2%
1 627
 
8.9%
- 516
 
7.4%
2 392
 
5.6%
3 337
 
4.8%
5 285
 
4.1%
0 282
 
4.0%
4 250
 
3.6%
7 247
 
3.5%
8 230
 
3.3%
Other values (7) 462
 
6.6%
Hangul
ValueCountFrequency (%)
구 1367
12.8%
대 877
 
8.2%
지 787
 
7.4%
시 764
 
7.1%
광 759
 
7.1%
역 758
 
7.1%
번 726
 
6.8%
동 625
 
5.8%
달 367
 
3.4%
성 308
 
2.9%
Other values (200) 3354
31.4%

도로명전체주소
Text

MISSING 

Distinct426
Distinct (%)83.4%
Missing284
Missing (%)35.7%
Memory size6.3 KiB
2024-04-18T12:34:58.509736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length24.843444
Min length19

Characters and Unicode

Total characters12695
Distinct characters240
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

Unique367 ?
Unique (%)71.8%

Sample

1st row대구광역시 중구 국채보상로 719 (동인동4가)
2nd row대구광역시 중구 달성로 56 (동산동)
3rd row대구광역시 중구 국채보상로101길 19 (동산동)
4th row대구광역시 중구 달성로 56 (동산동)
5th row대구광역시 중구 달구벌대로 2095 (덕산동, 삼성생명빌딩)
ValueCountFrequency (%)
대구광역시 510
 
19.5%
달성군 150
 
5.7%
달서구 103
 
3.9%
북구 85
 
3.3%
논공읍 65
 
2.5%
중구 50
 
1.9%
수성구 44
 
1.7%
서구 34
 
1.3%
동구 26
 
1.0%
논공로 24
 
0.9%
Other values (659) 1521
58.2%
2024-04-18T12:34:58.951448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2200
 
17.3%
구 947
 
7.5%
대 655
 
5.2%
시 517
 
4.1%
광 512
 
4.0%
역 512
 
4.0%
로 497
 
3.9%
동 456
 
3.6%
) 363
 
2.9%
( 363
 
2.9%
Other values (230) 5673
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7893
62.2%
Space Separator 2200
 
17.3%
Decimal Number 1765
 
13.9%
Close Punctuation 363
 
2.9%
Open Punctuation 363
 
2.9%
Other Punctuation 55
 
0.4%
Dash Punctuation 53
 
0.4%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 947
 
12.0%
대 655
 
8.3%
시 517
 
6.6%
광 512
 
6.5%
역 512
 
6.5%
로 497
 
6.3%
동 456
 
5.8%
달 323
 
4.1%
성 304
 
3.9%
서 236
 
3.0%
Other values (212) 2934
37.2%
Decimal Number
ValueCountFrequency (%)
1 352
19.9%
2 248
14.1%
3 211
12.0%
5 165
9.3%
4 159
9.0%
6 150
8.5%
0 146
8.3%
7 127
 
7.2%
9 104
 
5.9%
8 103
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
I 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
2200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 363
100.0%
Open Punctuation
ValueCountFrequency (%)
( 363
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7893
62.2%
Common 4799
37.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 947
 
12.0%
대 655
 
8.3%
시 517
 
6.6%
광 512
 
6.5%
역 512
 
6.5%
로 497
 
6.3%
동 456
 
5.8%
달 323
 
4.1%
성 304
 
3.9%
서 236
 
3.0%
Other values (212) 2934
37.2%
Common
ValueCountFrequency (%)
2200
45.8%
) 363
 
7.6%
( 363
 
7.6%
1 352
 
7.3%
2 248
 
5.2%
3 211
 
4.4%
5 165
 
3.4%
4 159
 
3.3%
6 150
 
3.1%
0 146
 
3.0%
Other values (5) 442
 
9.2%
Latin
ValueCountFrequency (%)
T 1
33.3%
I 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7893
62.2%
ASCII 4802
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2200
45.8%
) 363
 
7.6%
( 363
 
7.6%
1 352
 
7.3%
2 248
 
5.2%
3 211
 
4.4%
5 165
 
3.4%
4 159
 
3.3%
6 150
 
3.1%
0 146
 
3.0%
Other values (8) 445
 
9.3%
Hangul
ValueCountFrequency (%)
구 947
 
12.0%
대 655
 
8.3%
시 517
 
6.6%
광 512
 
6.5%
역 512
 
6.5%
로 497
 
6.3%
동 456
 
5.8%
달 323
 
4.1%
성 304
 
3.9%
서 236
 
3.0%
Other values (212) 2934
37.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)68.5%
Missing706
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean79972.73
Minimum41009
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:59.083202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41009
5-th percentile41405.2
Q141909
median42699
Q342809
95-th percentile444319.4
Maximum711892
Range670883
Interquartile range (IQR)900

Descriptive statistics

Standard deviation155041.85
Coefficient of variation (CV)1.9386839
Kurtosis13.682456
Mean79972.73
Median Absolute Deviation (MAD)294
Skewness3.9211169
Sum7117573
Variance2.4037975 × 1010
MonotonicityNot monotonic
2024-04-18T12:34:59.213216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42725 7
 
0.9%
41755 3
 
0.4%
42203 3
 
0.4%
43008 3
 
0.4%
42472 3
 
0.4%
711857 3
 
0.4%
42714 3
 
0.4%
42921 3
 
0.4%
41516 2
 
0.3%
42993 2
 
0.3%
Other values (51) 57
 
7.2%
(Missing) 706
88.8%
ValueCountFrequency (%)
41009 1
0.1%
41069 1
0.1%
41229 1
0.1%
41250 1
0.1%
41404 1
0.1%
41407 1
0.1%
41474 1
0.1%
41476 1
0.1%
41501 1
0.1%
41502 1
0.1%
ValueCountFrequency (%)
711892 1
 
0.1%
711891 1
 
0.1%
711857 3
0.4%
43013 2
0.3%
43011 2
0.3%
43008 3
0.4%
42993 2
0.3%
42982 2
0.3%
42981 1
 
0.1%
42936 1
 
0.1%

사업장명
Text

Distinct647
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-18T12:34:59.471622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length9.0540881
Min length3

Characters and Unicode

Total characters7198
Distinct characters418
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

Unique550 ?
Unique (%)69.2%

Sample

1st row펜퍼스픽이엔씨(주)
2nd row원진빌딩
3rd row계명대학교 대구동산병원
4th row일신종합가스
5th row계명대학교 동산의료원
ValueCountFrequency (%)
주식회사 24
 
2.5%
평화오일씰공업(주 10
 
1.0%
주)이마트 9
 
0.9%
대구텍 8
 
0.8%
유한회사 8
 
0.8%
대구공장 7
 
0.7%
펜퍼스픽이엔씨(주 7
 
0.7%
니카코리아(주)대구공장 6
 
0.6%
주)코스트코 6
 
0.6%
계명대학교 6
 
0.6%
Other values (707) 876
90.6%
2024-04-18T12:34:59.855093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 389
 
5.4%
) 388
 
5.4%
( 388
 
5.4%
대 297
 
4.1%
스 227
 
3.2%
구 188
 
2.6%
172
 
2.4%
가 143
 
2.0%
공 106
 
1.5%
동 103
 
1.4%
Other values (408) 4797
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6022
83.7%
Close Punctuation 388
 
5.4%
Open Punctuation 388
 
5.4%
Space Separator 172
 
2.4%
Decimal Number 101
 
1.4%
Uppercase Letter 100
 
1.4%
Lowercase Letter 16
 
0.2%
Dash Punctuation 6
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 389
 
6.5%
대 297
 
4.9%
스 227
 
3.8%
구 188
 
3.1%
가 143
 
2.4%
공 106
 
1.8%
동 103
 
1.7%
합 101
 
1.7%
사 100
 
1.7%
이 97
 
1.6%
Other values (360) 4271
70.9%
Uppercase Letter
ValueCountFrequency (%)
C 17
17.0%
G 12
12.0%
S 9
9.0%
N 9
9.0%
T 8
 
8.0%
F 7
 
7.0%
K 6
 
6.0%
A 5
 
5.0%
M 3
 
3.0%
O 3
 
3.0%
Other values (11) 21
21.0%
Lowercase Letter
ValueCountFrequency (%)
s 5
31.2%
k 2
 
12.5%
t 1
 
6.2%
o 1
 
6.2%
l 1
 
6.2%
r 1
 
6.2%
n 1
 
6.2%
a 1
 
6.2%
e 1
 
6.2%
w 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 47
46.5%
9 20
19.8%
2 15
 
14.9%
5 5
 
5.0%
6 4
 
4.0%
3 4
 
4.0%
7 2
 
2.0%
8 2
 
2.0%
4 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 2
40.0%
, 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 388
100.0%
Open Punctuation
ValueCountFrequency (%)
( 388
100.0%
Space Separator
ValueCountFrequency (%)
172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6022
83.7%
Common 1060
 
14.7%
Latin 116
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 389
 
6.5%
대 297
 
4.9%
스 227
 
3.8%
구 188
 
3.1%
가 143
 
2.4%
공 106
 
1.8%
동 103
 
1.7%
합 101
 
1.7%
사 100
 
1.7%
이 97
 
1.6%
Other values (360) 4271
70.9%
Latin
ValueCountFrequency (%)
C 17
14.7%
G 12
 
10.3%
S 9
 
7.8%
N 9
 
7.8%
T 8
 
6.9%
F 7
 
6.0%
K 6
 
5.2%
A 5
 
4.3%
s 5
 
4.3%
M 3
 
2.6%
Other values (22) 35
30.2%
Common
ValueCountFrequency (%)
) 388
36.6%
( 388
36.6%
172
16.2%
1 47
 
4.4%
9 20
 
1.9%
2 15
 
1.4%
- 6
 
0.6%
5 5
 
0.5%
6 4
 
0.4%
3 4
 
0.4%
Other values (6) 11
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6022
83.7%
ASCII 1176
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 389
 
6.5%
대 297
 
4.9%
스 227
 
3.8%
구 188
 
3.1%
가 143
 
2.4%
공 106
 
1.8%
동 103
 
1.7%
합 101
 
1.7%
사 100
 
1.7%
이 97
 
1.6%
Other values (360) 4271
70.9%
ASCII
ValueCountFrequency (%)
) 388
33.0%
( 388
33.0%
172
14.6%
1 47
 
4.0%
9 20
 
1.7%
C 17
 
1.4%
2 15
 
1.3%
G 12
 
1.0%
S 9
 
0.8%
N 9
 
0.8%
Other values (38) 99
 
8.4%

최종수정시점
Real number (ℝ)

Distinct784
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145936 × 1013
Minimum2.0000428 × 1013
Maximum2.0200831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:34:59.999563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000428 × 1013
5-th percentile2.0050477 × 1013
Q12.0120363 × 1013
median2.0161219 × 1013
Q32.0190112 × 1013
95-th percentile2.0200407 × 1013
Maximum2.0200831 × 1013
Range2.0040318 × 1011
Interquartile range (IQR)6.9749454 × 1010

Descriptive statistics

Standard deviation5.0839468 × 1010
Coefficient of variation (CV)0.0025235595
Kurtosis0.3004873
Mean2.0145936 × 1013
Median Absolute Deviation (MAD)2.9803049 × 1010
Skewness-1.045238
Sum1.6016019 × 1016
Variance2.5846515 × 1021
MonotonicityNot monotonic
2024-04-18T12:35:00.145777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000501000000 7
 
0.9%
20000428000000 4
 
0.5%
20011010000000 2
 
0.3%
20011212000000 2
 
0.3%
20180212165949 1
 
0.1%
20120822172917 1
 
0.1%
20120323134052 1
 
0.1%
20150924181102 1
 
0.1%
20120413154514 1
 
0.1%
20180629160923 1
 
0.1%
Other values (774) 774
97.4%
ValueCountFrequency (%)
20000428000000 4
0.5%
20000429000000 1
 
0.1%
20000501000000 7
0.9%
20000502000000 1
 
0.1%
20000719000000 1
 
0.1%
20000926000000 1
 
0.1%
20001214000000 1
 
0.1%
20001215000000 1
 
0.1%
20001221000000 1
 
0.1%
20010306000000 1
 
0.1%
ValueCountFrequency (%)
20200831183313 1
0.1%
20200831182937 1
0.1%
20200831180919 1
0.1%
20200831180816 1
0.1%
20200831164821 1
0.1%
20200825142523 1
0.1%
20200821202709 1
0.1%
20200820151511 1
0.1%
20200814104544 1
0.1%
20200805155141 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I
598 
U
197 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 598
75.2%
U 197
 
24.8%

Length

2024-04-18T12:35:00.271161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:35:00.358870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 598
75.2%
u 197
 
24.8%

데이터갱신일자
Date

Distinct172
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2020-09-02 02:40:00
2024-04-18T12:35:00.456554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T12:35:00.581095image/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 size6.3 KiB
제조
523 
저장소
161 
판매
111 

Length

Max length3
Median length2
Mean length2.2025157
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 523
65.8%
저장소 161
 
20.3%
판매 111
 
14.0%

Length

2024-04-18T12:35:00.704958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:35:00.800845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 523
65.8%
저장소 161
 
20.3%
판매 111
 
14.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct482
Distinct (%)74.3%
Missing146
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean338882.87
Minimum197728.37
Maximum357185.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:35:00.915732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197728.37
5-th percentile328634.53
Q1333722.89
median339570.7
Q3344280.76
95-th percentile348470.23
Maximum357185.65
Range159457.28
Interquartile range (IQR)10557.872

Descriptive statistics

Standard deviation9773.5487
Coefficient of variation (CV)0.028840492
Kurtosis75.542918
Mean338882.87
Median Absolute Deviation (MAD)5271.0567
Skewness-6.0564401
Sum2.1993499 × 108
Variance95522255
MonotonicityNot monotonic
2024-04-18T12:35:01.047716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347154.975659 11
 
1.4%
345144.121523 11
 
1.4%
331330.5204 7
 
0.9%
335874.207251 7
 
0.9%
331841.770251 5
 
0.6%
341586.9551 5
 
0.6%
344047.164924 4
 
0.5%
332513.576767 4
 
0.5%
342935.432334 4
 
0.5%
333075.770887 4
 
0.5%
Other values (472) 587
73.8%
(Missing) 146
 
18.4%
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
0.3%
356222.826617 4
0.5%
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%
353894.600165 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct482
Distinct (%)74.3%
Missing146
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean260970.5
Minimum237692.77
Maximum451030.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T12:35:01.183445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237692.77
5-th percentile241079.78
Q1257491.5
median262466.93
Q3265089.9
95-th percentile269523.57
Maximum451030.85
Range213338.09
Interquartile range (IQR)7598.4044

Descriptive statistics

Standard deviation13896.622
Coefficient of variation (CV)0.053249782
Kurtosis82.655861
Mean260970.5
Median Absolute Deviation (MAD)3109.5613
Skewness7.0742036
Sum1.6936985 × 108
Variance1.931161 × 108
MonotonicityNot monotonic
2024-04-18T12:35:01.302971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256414.706903 11
 
1.4%
263145.386419 11
 
1.4%
249378.513866 7
 
0.9%
258661.902888 7
 
0.9%
249503.543267 5
 
0.6%
261584.170369 5
 
0.6%
265132.987974 4
 
0.5%
249851.730242 4
 
0.5%
264310.975711 4
 
0.5%
249218.157833 4
 
0.5%
Other values (472) 587
73.8%
(Missing) 146
 
18.4%
ValueCountFrequency (%)
237692.765575 2
0.3%
237863.093552 2
0.3%
237979.635138 1
 
0.1%
238226.478692 1
 
0.1%
238425.255022 1
 
0.1%
238532.756128 3
0.4%
238656.934226 1
 
0.1%
238658.293773 2
0.3%
238659.015174 1
 
0.1%
238762.319736 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 size6.3 KiB
냉동
404 
일반
223 
<NA>
104 
충전
60 
특정
 
4

Length

Max length4
Median length2
Mean length2.2616352
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 404
50.8%
일반 223
28.1%
<NA> 104
 
13.1%
충전 60
 
7.5%
특정 4
 
0.5%

Length

2024-04-18T12:35:01.431970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:35:01.574373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 404
50.8%
일반 223
28.1%
na 104
 
13.1%
충전 60
 
7.5%
특정 4
 
0.5%

사업장부지용도구분명
Categorical

Distinct34
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
219 
공업용
92 
상업.업무용
80 
주거용
78 
지정되지않음
61 
Other values (29)
265 

Length

Max length7
Median length6
Mean length3.9874214
Min length1

Unique

Unique6 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 219
27.5%
공업용 92
11.6%
상업.업무용 80
 
10.1%
주거용 78
 
9.8%
지정되지않음 61
 
7.7%
상업용 35
 
4.4%
주상나지 25
 
3.1%
기타 22
 
2.8%
주.상복합용 21
 
2.6%
다세대 20
 
2.5%
Other values (24) 142
17.9%

Length

2024-04-18T12:35:01.711516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 219
27.5%
공업용 92
11.6%
상업.업무용 80
 
10.1%
주거용 78
 
9.8%
지정되지않음 61
 
7.7%
상업용 35
 
4.4%
주상나지 25
 
3.1%
기타 22
 
2.8%
주.상복합용 21
 
2.6%
다세대 20
 
2.5%
Other values (24) 142
17.9%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
01고압가스업09_28_05_P3410000201834101300210000120181129<NA>3폐업3폐업20190226<NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 655-1번지<NA><NA>펜퍼스픽이엔씨(주)20190307165032U2019-03-09 02:40:00.0제조345144.121523263145.386419냉동<NA>
12고압가스업09_28_05_P3410000200034100460220002819910614<NA>2휴업2휴업<NA>2007060120080530<NA><NA><NA><NA>대구광역시 중구 동인동4가 55번지대구광역시 중구 국채보상로 719 (동인동4가)<NA>원진빌딩20070814155037I2018-08-31 23:59:59.0제조345271.282498264397.297213냉동상업.업무용
23고압가스업09_28_05_P3410000197934100460210001219790130<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 194대구광역시 중구 달성로 56 (동산동)<NA>계명대학교 대구동산병원20200722124349U2020-07-24 02:40:00.0제조342935.432334264310.975711냉동상업.업무용
34고압가스업09_28_05_P3410000198334100460210001019830416<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 6-2번지대구광역시 중구 국채보상로101길 19 (동산동)<NA>일신종합가스20170901185854I2018-08-31 23:59:59.0판매342997.751943264616.577722일반상업용
45고압가스업09_28_05_P3410000198734100130210000119870806<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 194번지대구광역시 중구 달성로 56 (동산동)<NA>계명대학교 동산의료원20181206162702U2018-12-08 02:40:00.0저장소342935.432334264310.975711일반업무용
56고압가스업09_28_05_P3410000199434100460210001719941125<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 덕산동 110번지 삼성생명빌딩대구광역시 중구 달구벌대로 2095 (덕산동, 삼성생명빌딩)<NA>지알이전문투자형사모부동산투자신탁 제2호20180426090523I2018-08-31 23:59:59.0제조343787.134091264065.576741냉동상업.업무용
67고압가스업09_28_05_P3410000199434100460210002020080429<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 50번지 경북대학교병원<NA><NA>경북대학교병원20180514162222I2018-08-31 23:59:59.0저장소344867.643963264091.210417냉동상업.업무용
78고압가스업09_28_05_P3410000200034100460220002019800827<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수동 22번지대구광역시 중구 국채보상로 535 (수동)<NA>태남산업사20190412111103U2019-04-14 02:40:00.0제조343449.232908264542.339652냉동연립
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번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
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