Overview

Dataset statistics

Number of variables30
Number of observations810
Missing cells7444
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory204.2 KiB
Average record size in memory258.2 B

Variable types

Numeric13
Categorical10
Unsupported3
Text3
DateTime1

Dataset

Description6270000_대구광역시_09_28_05_P_고압가스업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086189&dataSetDetailId=DDI_0000086247&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
인허가취소일자 has 810 (100.0%) missing valuesMissing
폐업일자 has 527 (65.1%) missing valuesMissing
휴업시작일자 has 792 (97.8%) missing valuesMissing
휴업종료일자 has 791 (97.7%) missing valuesMissing
재개업일자 has 792 (97.8%) missing valuesMissing
소재지전화 has 810 (100.0%) missing valuesMissing
소재지면적 has 793 (97.9%) missing valuesMissing
소재지우편번호 has 810 (100.0%) missing valuesMissing
소재지전체주소 has 36 (4.4%) missing valuesMissing
도로명전체주소 has 283 (34.9%) missing valuesMissing
도로명우편번호 has 708 (87.4%) missing valuesMissing
좌표정보(X) has 146 (18.0%) missing valuesMissing
좌표정보(Y) has 146 (18.0%) 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 started2023-12-10 20:31:19.081591
Analysis finished2023-12-10 20:31:20.368029
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct810
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.5
Minimum1
Maximum810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:20.510031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.45
Q1203.25
median405.5
Q3607.75
95-th percentile769.55
Maximum810
Range809
Interquartile range (IQR)404.5

Descriptive statistics

Standard deviation233.97115
Coefficient of variation (CV)0.57699421
Kurtosis-1.2
Mean405.5
Median Absolute Deviation (MAD)202.5
Skewness0
Sum328455
Variance54742.5
MonotonicityStrictly increasing
2023-12-11T05:31:20.771024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
545 1
 
0.1%
535 1
 
0.1%
536 1
 
0.1%
537 1
 
0.1%
538 1
 
0.1%
539 1
 
0.1%
540 1
 
0.1%
541 1
 
0.1%
542 1
 
0.1%
Other values (800) 800
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 (%)
810 1
0.1%
809 1
0.1%
808 1
0.1%
807 1
0.1%
806 1
0.1%
805 1
0.1%
804 1
0.1%
803 1
0.1%
802 1
0.1%
801 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
고압가스업
810 

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 810
100.0%

Length

2023-12-11T05:31:21.049959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:21.237807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스업 810
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
09_28_05_P
810 

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 810
100.0%

Length

2023-12-11T05:31:21.410019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:21.573699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_05_p 810
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455160.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:21.786585image/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 deviation24455.23
Coefficient of variation (CV)0.0070778853
Kurtosis-0.92273226
Mean3455160.5
Median Absolute Deviation (MAD)20000
Skewness-0.68438116
Sum2.79868 × 109
Variance5.9805826 × 108
MonotonicityIncreasing
2023-12-11T05:31:21.975930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3480000 228
28.1%
3470000 170
21.0%
3450000 122
15.1%
3410000 95
11.7%
3460000 66
 
8.1%
3420000 59
 
7.3%
3430000 45
 
5.6%
3440000 25
 
3.1%
ValueCountFrequency (%)
3410000 95
11.7%
3420000 59
 
7.3%
3430000 45
 
5.6%
3440000 25
 
3.1%
3450000 122
15.1%
3460000 66
 
8.1%
3470000 170
21.0%
3480000 228
28.1%
ValueCountFrequency (%)
3480000 228
28.1%
3470000 170
21.0%
3460000 66
 
8.1%
3450000 122
15.1%
3440000 25
 
3.1%
3430000 45
 
5.6%
3420000 59
 
7.3%
3410000 95
11.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct810
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.004027 × 1018
Minimum1.968341 × 1018
Maximum2.020348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:22.263007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9823439 × 1018
Q12.000347 × 1018
median2.003345 × 1018
Q32.0103465 × 1018
95-th percentile2.018347 × 1018
Maximum2.020348 × 1018
Range5.2007032 × 1016
Interquartile range (IQR)9.99951 × 1015

Descriptive statistics

Standard deviation9.5818594 × 1015
Coefficient of variation (CV)0.0047813025
Kurtosis1.0079681
Mean2.004027 × 1018
Median Absolute Deviation (MAD)3.0040027 × 1015
Skewness-0.72024243
Sum-5.160237 × 1016
Variance9.181203 × 1031
MonotonicityNot monotonic
2023-12-11T05:31:22.543094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001341001302100001 1
 
0.1%
2007347011702100002 1
 
0.1%
2000347001302220011 1
 
0.1%
2000347001302220013 1
 
0.1%
2000347001302220014 1
 
0.1%
2000347001302220028 1
 
0.1%
2000347001302220029 1
 
0.1%
2000347001302220032 1
 
0.1%
2000347011702100001 1
 
0.1%
2001347001302100003 1
 
0.1%
Other values (800) 800
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 (%)
2020348036502100002 1
0.1%
2020348036502100001 1
0.1%
2020347018002100002 1
0.1%
2020347018002100001 1
0.1%
2020345016002100003 1
0.1%
2020345016002100002 1
0.1%
2020345016002100001 1
0.1%
2019348036502200009 1
0.1%
2019348036502200005 1
0.1%
2019348036502200003 1
0.1%

인허가일자
Real number (ℝ)

Distinct662
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20030833
Minimum19680528
Maximum20200929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:22.814324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19680528
5-th percentile19810554
Q119950614
median20060805
Q320101228
95-th percentile20180608
Maximum20200929
Range520401
Interquartile range (IQR)150614.25

Descriptive statistics

Standard deviation113391.79
Coefficient of variation (CV)0.0056608623
Kurtosis-0.34230528
Mean20030833
Median Absolute Deviation (MAD)69595.5
Skewness-0.68789059
Sum1.6224975 × 1010
Variance1.2857698 × 1010
MonotonicityNot monotonic
2023-12-11T05:31:23.140269image/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%
20060616 6
 
0.7%
20090908 5
 
0.6%
19820115 5
 
0.6%
20021104 4
 
0.5%
20050426 4
 
0.5%
20180201 4
 
0.5%
20030114 3
 
0.4%
Other values (652) 757
93.5%
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 (%)
20200929 1
0.1%
20200928 1
0.1%
20200916 1
0.1%
20200909 1
0.1%
20200331 1
0.1%
20200122 1
0.1%
20191223 1
0.1%
20191220 1
0.1%
20191219 1
0.1%
20191206 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing810
Missing (%)100.0%
Memory size7.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
518 
3
286 
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 (%)
1 518
64.0%
3 286
35.3%
2 6
 
0.7%

Length

2023-12-11T05:31:23.450367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:23.692010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 518
64.0%
3 286
35.3%
2 6
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
영업/정상
518 
폐업
286 
휴업
 
6

Length

Max length5
Median length5
Mean length3.9185185
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 518
64.0%
폐업 286
35.3%
휴업 6
 
0.7%

Length

2023-12-11T05:31:23.919207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:24.148463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 518
64.0%
폐업 286
35.3%
휴업 6
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
518 
3
286 
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 (%)
1 518
64.0%
3 286
35.3%
2 6
 
0.7%

Length

2023-12-11T05:31:24.360020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:24.562366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 518
64.0%
3 286
35.3%
2 6
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
영업중
518 
폐업
286 
휴업
 
6

Length

Max length3
Median length3
Mean length2.6395062
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 518
64.0%
폐업 286
35.3%
휴업 6
 
0.7%

Length

2023-12-11T05:31:24.819994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:25.032222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 518
64.0%
폐업 286
35.3%
휴업 6
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct246
Distinct (%)86.9%
Missing527
Missing (%)65.1%
Infinite0
Infinite (%)0.0%
Mean20118913
Minimum20000531
Maximum20200911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:25.306622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000531
5-th percentile20030602
Q120080666
median20120711
Q320170317
95-th percentile20190793
Maximum20200911
Range200380
Interquartile range (IQR)89651

Descriptive statistics

Standard deviation53769.675
Coefficient of variation (CV)0.0026725934
Kurtosis-1.0234875
Mean20118913
Median Absolute Deviation (MAD)40581
Skewness-0.24632279
Sum5.6936525 × 109
Variance2.891178 × 109
MonotonicityNot monotonic
2023-12-11T05:31:25.674483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050301 4
 
0.5%
20190517 3
 
0.4%
20080811 3
 
0.4%
20070814 3
 
0.4%
20181024 3
 
0.4%
20080704 3
 
0.4%
20091130 3
 
0.4%
20131007 3
 
0.4%
20171219 2
 
0.2%
20010518 2
 
0.2%
Other values (236) 254
31.4%
(Missing) 527
65.1%
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 (%)
20200911 1
0.1%
20200904 1
0.1%
20200813 1
0.1%
20200805 1
0.1%
20200703 1
0.1%
20200331 1
0.1%
20200302 2
0.2%
20200229 1
0.1%
20200210 1
0.1%
20200123 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing792
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean20104104
Minimum20021126
Maximum20200429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:25.928620image/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
2023-12-11T05:31:26.140359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20181116 2
 
0.2%
20110811 1
 
0.1%
20200429 1
 
0.1%
20070110 1
 
0.1%
20110602 1
 
0.1%
20050407 1
 
0.1%
20190923 1
 
0.1%
20181201 1
 
0.1%
20070601 1
 
0.1%
20060914 1
 
0.1%
Other values (7) 7
 
0.9%
(Missing) 792
97.8%
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
0.2%
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%
Missing791
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean20108538
Minimum20020410
Maximum20210428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:26.363185image/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
2023-12-11T05:31:26.595536image/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%
20050610 1
 
0.1%
20200517 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) 791
97.7%
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%
Missing792
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean20156019
Minimum20070802
Maximum20200515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:26.833151image/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
2023-12-11T05:31:27.073661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20120525 2
 
0.2%
20130628 1
 
0.1%
20200420 1
 
0.1%
20150520 1
 
0.1%
20160805 1
 
0.1%
20170511 1
 
0.1%
20070802 1
 
0.1%
20200515 1
 
0.1%
20130604 1
 
0.1%
20160415 1
 
0.1%
Other values (7) 7
 
0.9%
(Missing) 792
97.8%
ValueCountFrequency (%)
20070802 1
0.1%
20120525 2
0.2%
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 

Missing810
Missing (%)100.0%
Memory size7.2 KiB

소재지면적
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing793
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean9418.7965
Minimum0
Maximum49789
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:27.319306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.92
Q1290.9
median5623.5
Q310075
95-th percentile33206.6
Maximum49789
Range49789
Interquartile range (IQR)9784.1

Descriptive statistics

Standard deviation12936.804
Coefficient of variation (CV)1.3735092
Kurtosis5.6198028
Mean9418.7965
Median Absolute Deviation (MAD)5332.6
Skewness2.2394464
Sum160119.54
Variance1.6736089 × 108
MonotonicityNot monotonic
2023-12-11T05:31:27.531258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10075.0 2
 
0.2%
9143.3 2
 
0.2%
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%
208.4 1
 
0.1%
15229.5 1
 
0.1%
14413.0 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 793
97.9%
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%
1444.24 1
0.1%
4114.0 1
0.1%
5623.5 1
0.1%
9143.3 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%
1444.24 1
0.1%
1322.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing810
Missing (%)100.0%
Memory size7.2 KiB

소재지전체주소
Text

MISSING 

Distinct612
Distinct (%)79.1%
Missing36
Missing (%)4.4%
Memory size6.5 KiB
2023-12-11T05:31:28.471284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length23.277778
Min length17

Characters and Unicode

Total characters18017
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

Unique512 ?
Unique (%)66.1%

Sample

1st row대구광역시 중구 동성로2가 41-8번지
2nd row대구광역시 중구 동인동4가 55번지
3rd row대구광역시 중구 동성로2가 41-8번지 대현프리몰
4th row대구광역시 중구 동산동 194
5th row대구광역시 중구 동산동 6-2번지
ValueCountFrequency (%)
대구광역시 772
22.4%
달성군 218
 
6.3%
달서구 160
 
4.6%
북구 122
 
3.5%
논공읍 92
 
2.7%
중구 91
 
2.6%
수성구 62
 
1.8%
동구 53
 
1.5%
본리리 52
 
1.5%
서구 43
 
1.2%
Other values (837) 1786
51.8%
2023-12-11T05:31:29.383209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3453
19.2%
구 1388
 
7.7%
대 892
 
5.0%
지 781
 
4.3%
시 779
 
4.3%
광 774
 
4.3%
역 773
 
4.3%
번 717
 
4.0%
1 644
 
3.6%
동 629
 
3.5%
Other values (217) 7187
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10868
60.3%
Space Separator 3453
 
19.2%
Decimal Number 3139
 
17.4%
Dash Punctuation 528
 
2.9%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1388
12.8%
대 892
 
8.2%
지 781
 
7.2%
시 779
 
7.2%
광 774
 
7.1%
역 773
 
7.1%
번 717
 
6.6%
동 629
 
5.8%
달 379
 
3.5%
성 320
 
2.9%
Other values (200) 3436
31.6%
Decimal Number
ValueCountFrequency (%)
1 644
20.5%
2 400
12.7%
3 337
10.7%
5 288
9.2%
0 287
9.1%
4 258
8.2%
7 251
 
8.0%
8 233
 
7.4%
6 231
 
7.4%
9 210
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%
Space Separator
ValueCountFrequency (%)
3453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10868
60.3%
Common 7143
39.6%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1388
12.8%
대 892
 
8.2%
지 781
 
7.2%
시 779
 
7.2%
광 774
 
7.1%
역 773
 
7.1%
번 717
 
6.6%
동 629
 
5.8%
달 379
 
3.5%
성 320
 
2.9%
Other values (200) 3436
31.6%
Common
ValueCountFrequency (%)
3453
48.3%
1 644
 
9.0%
- 528
 
7.4%
2 400
 
5.6%
3 337
 
4.7%
5 288
 
4.0%
0 287
 
4.0%
4 258
 
3.6%
7 251
 
3.5%
8 233
 
3.3%
Other values (5) 464
 
6.5%
Latin
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10868
60.3%
ASCII 7149
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3453
48.3%
1 644
 
9.0%
- 528
 
7.4%
2 400
 
5.6%
3 337
 
4.7%
5 288
 
4.0%
0 287
 
4.0%
4 258
 
3.6%
7 251
 
3.5%
8 233
 
3.3%
Other values (7) 470
 
6.6%
Hangul
ValueCountFrequency (%)
구 1388
12.8%
대 892
 
8.2%
지 781
 
7.2%
시 779
 
7.2%
광 774
 
7.1%
역 773
 
7.1%
번 717
 
6.6%
동 629
 
5.8%
달 379
 
3.5%
성 320
 
2.9%
Other values (200) 3436
31.6%

도로명전체주소
Text

MISSING 

Distinct433
Distinct (%)82.2%
Missing283
Missing (%)34.9%
Memory size6.5 KiB
2023-12-11T05:31:30.037229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length24.800759
Min length19

Characters and Unicode

Total characters13070
Distinct characters243
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

Unique371 ?
Unique (%)70.4%

Sample

1st row대구광역시 중구 국채보상로 719 (동인동4가)
2nd row대구광역시 중구 국채보상로 지하 580, 대현프리몰 (동성로2가)
3rd row대구광역시 중구 달성로 56 (동산동)
4th row대구광역시 중구 국채보상로 531, 곽병원 (수동)
5th row대구광역시 중구 국채보상로101길 19 (동산동)
ValueCountFrequency (%)
대구광역시 526
 
19.5%
달성군 163
 
6.1%
달서구 103
 
3.8%
북구 87
 
3.2%
논공읍 73
 
2.7%
중구 50
 
1.9%
수성구 44
 
1.6%
서구 34
 
1.3%
논공로 27
 
1.0%
동구 27
 
1.0%
Other values (666) 1558
57.9%
2023-12-11T05:31:30.946950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2264
 
17.3%
구 970
 
7.4%
대 672
 
5.1%
시 533
 
4.1%
광 528
 
4.0%
역 528
 
4.0%
로 511
 
3.9%
동 463
 
3.5%
) 366
 
2.8%
1 366
 
2.8%
Other values (233) 5869
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8142
62.3%
Space Separator 2264
 
17.3%
Decimal Number 1821
 
13.9%
Close Punctuation 366
 
2.8%
Open Punctuation 366
 
2.8%
Other Punctuation 55
 
0.4%
Dash Punctuation 53
 
0.4%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 970
 
11.9%
대 672
 
8.3%
시 533
 
6.5%
광 528
 
6.5%
역 528
 
6.5%
로 511
 
6.3%
동 463
 
5.7%
달 339
 
4.2%
성 320
 
3.9%
서 236
 
2.9%
Other values (215) 3042
37.4%
Decimal Number
ValueCountFrequency (%)
1 366
20.1%
2 257
14.1%
3 212
11.6%
5 172
9.4%
4 167
9.2%
6 154
8.5%
0 149
8.2%
7 132
 
7.2%
8 106
 
5.8%
9 106
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
2264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 366
100.0%
Open Punctuation
ValueCountFrequency (%)
( 366
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8142
62.3%
Common 4925
37.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 970
 
11.9%
대 672
 
8.3%
시 533
 
6.5%
광 528
 
6.5%
역 528
 
6.5%
로 511
 
6.3%
동 463
 
5.7%
달 339
 
4.2%
성 320
 
3.9%
서 236
 
2.9%
Other values (215) 3042
37.4%
Common
ValueCountFrequency (%)
2264
46.0%
) 366
 
7.4%
1 366
 
7.4%
( 366
 
7.4%
2 257
 
5.2%
3 212
 
4.3%
5 172
 
3.5%
4 167
 
3.4%
6 154
 
3.1%
0 149
 
3.0%
Other values (5) 452
 
9.2%
Latin
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8142
62.3%
ASCII 4928
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2264
45.9%
) 366
 
7.4%
1 366
 
7.4%
( 366
 
7.4%
2 257
 
5.2%
3 212
 
4.3%
5 172
 
3.5%
4 167
 
3.4%
6 154
 
3.1%
0 149
 
3.0%
Other values (8) 455
 
9.2%
Hangul
ValueCountFrequency (%)
구 970
 
11.9%
대 672
 
8.3%
시 533
 
6.5%
광 528
 
6.5%
역 528
 
6.5%
로 511
 
6.3%
동 463
 
5.7%
달 339
 
4.2%
성 320
 
3.9%
서 236
 
2.9%
Other values (215) 3042
37.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)64.7%
Missing708
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean75210.922
Minimum41009
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:31.223028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41009
5-th percentile41404.15
Q141911.5
median42709
Q342960
95-th percentile43013
Maximum711892
Range670883
Interquartile range (IQR)1048.5

Descriptive statistics

Standard deviation145261.18
Coefficient of variation (CV)1.9313841
Kurtosis16.297193
Mean75210.922
Median Absolute Deviation (MAD)284
Skewness4.2400006
Sum7671514
Variance2.110081 × 1010
MonotonicityNot monotonic
2023-12-11T05:31:31.496194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42725 7
 
0.9%
42982 5
 
0.6%
43013 4
 
0.5%
43008 4
 
0.5%
42714 3
 
0.4%
42203 3
 
0.4%
41755 3
 
0.4%
42921 3
 
0.4%
711857 3
 
0.4%
42472 3
 
0.4%
Other values (56) 64
 
7.9%
(Missing) 708
87.4%
ValueCountFrequency (%)
41009 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%
41474 1
0.1%
41476 1
0.1%
41501 1
0.1%
ValueCountFrequency (%)
711892 1
 
0.1%
711891 1
 
0.1%
711857 3
0.4%
43013 4
0.5%
43011 2
 
0.2%
43008 4
0.5%
42993 2
 
0.2%
42984 2
 
0.2%
42982 5
0.6%
42981 1
 
0.1%

사업장명
Text

Distinct651
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-11T05:31:31.930159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length9.0185185
Min length3

Characters and Unicode

Total characters7305
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

Unique551 ?
Unique (%)68.0%

Sample

1st row(주)대현프리몰
2nd row원진빌딩
3rd row(주)대현프리몰
4th row계명대학교 대구동산병원
5th row의료법인 운경의료재단
ValueCountFrequency (%)
주식회사 24
 
2.4%
평화오일씰공업(주 12
 
1.2%
주)이마트 9
 
0.9%
대구텍 8
 
0.8%
유한회사 8
 
0.8%
대구공장 8
 
0.8%
펜퍼스픽이엔씨(주 7
 
0.7%
계명대학교 6
 
0.6%
니카코리아(주)대구공장 6
 
0.6%
주)코스트코 6
 
0.6%
Other values (710) 889
90.4%
2023-12-11T05:31:32.626410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 401
 
5.5%
) 400
 
5.5%
( 400
 
5.5%
대 300
 
4.1%
스 230
 
3.1%
구 190
 
2.6%
173
 
2.4%
가 145
 
2.0%
공 109
 
1.5%
동 105
 
1.4%
Other values (409) 4852
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6104
83.6%
Close Punctuation 400
 
5.5%
Open Punctuation 400
 
5.5%
Space Separator 173
 
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 401
 
6.6%
대 300
 
4.9%
스 230
 
3.8%
구 190
 
3.1%
가 145
 
2.4%
공 109
 
1.8%
동 105
 
1.7%
합 102
 
1.7%
사 100
 
1.6%
이 99
 
1.6%
Other values (361) 4323
70.8%
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%
E 3
 
3.0%
B 3
 
3.0%
Other values (11) 21
21.0%
Lowercase Letter
ValueCountFrequency (%)
s 5
31.2%
k 2
 
12.5%
w 1
 
6.2%
a 1
 
6.2%
e 1
 
6.2%
o 1
 
6.2%
r 1
 
6.2%
n 1
 
6.2%
l 1
 
6.2%
t 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 (%)
) 400
100.0%
Open Punctuation
ValueCountFrequency (%)
( 400
100.0%
Space Separator
ValueCountFrequency (%)
173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6104
83.6%
Common 1085
 
14.9%
Latin 116
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 401
 
6.6%
대 300
 
4.9%
스 230
 
3.8%
구 190
 
3.1%
가 145
 
2.4%
공 109
 
1.8%
동 105
 
1.7%
합 102
 
1.7%
사 100
 
1.6%
이 99
 
1.6%
Other values (361) 4323
70.8%
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%
E 3
 
2.6%
Other values (22) 35
30.2%
Common
ValueCountFrequency (%)
) 400
36.9%
( 400
36.9%
173
15.9%
1 47
 
4.3%
9 20
 
1.8%
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 6104
83.6%
ASCII 1201
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 401
 
6.6%
대 300
 
4.9%
스 230
 
3.8%
구 190
 
3.1%
가 145
 
2.4%
공 109
 
1.8%
동 105
 
1.7%
합 102
 
1.7%
사 100
 
1.6%
이 99
 
1.6%
Other values (361) 4323
70.8%
ASCII
ValueCountFrequency (%)
) 400
33.3%
( 400
33.3%
173
14.4%
1 47
 
3.9%
9 20
 
1.7%
C 17
 
1.4%
2 15
 
1.2%
G 12
 
1.0%
S 9
 
0.7%
N 9
 
0.7%
Other values (38) 99
 
8.2%

최종수정시점
Real number (ℝ)

Distinct799
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0147575 × 1013
Minimum2.0000428 × 1013
Maximum2.0200929 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:32.914430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000428 × 1013
5-th percentile2.0050554 × 1013
Q12.0120548 × 1013
median2.0170213 × 1013
Q32.0190306 × 1013
95-th percentile2.0200663 × 1013
Maximum2.0200929 × 1013
Range2.0050115 × 1011
Interquartile range (IQR)6.9757954 × 1010

Descriptive statistics

Standard deviation5.1180883 × 1010
Coefficient of variation (CV)0.0025402999
Kurtosis0.32324526
Mean2.0147575 × 1013
Median Absolute Deviation (MAD)2.9810484 × 1010
Skewness-1.0621929
Sum1.6319536 × 1016
Variance2.6194828 × 1021
MonotonicityNot monotonic
2023-12-11T05:31:33.237774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000501000000 7
 
0.9%
20000428000000 4
 
0.5%
20011212000000 2
 
0.2%
20011010000000 2
 
0.2%
20181218205736 1
 
0.1%
20130412174902 1
 
0.1%
20150119163643 1
 
0.1%
20070528000000 1
 
0.1%
20181214142139 1
 
0.1%
20191022102642 1
 
0.1%
Other values (789) 789
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 (%)
20200929152140 1
0.1%
20200928172355 1
0.1%
20200928125906 1
0.1%
20200928105435 1
0.1%
20200925104909 1
0.1%
20200922173000 1
0.1%
20200918105347 1
0.1%
20200916135353 1
0.1%
20200915092227 1
0.1%
20200910131754 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
I
602 
U
208 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 602
74.3%
U 208
 
25.7%

Length

2023-12-11T05:31:33.471638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:33.629982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 602
74.3%
u 208
 
25.7%

데이터갱신일자
Date

Distinct190
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
Minimum2018-08-31 23:59:59
Maximum2020-10-01 00:23:11
2023-12-11T05:31:33.824664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:31:34.039076image/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 size6.5 KiB
제조
530 
저장소
166 
판매
114 

Length

Max length3
Median length2
Mean length2.2049383
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 530
65.4%
저장소 166
 
20.5%
판매 114
 
14.1%

Length

2023-12-11T05:31:34.294158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:34.515990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 530
65.4%
저장소 166
 
20.5%
판매 114
 
14.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct488
Distinct (%)73.5%
Missing146
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean338775.58
Minimum197728.37
Maximum357185.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:34.719527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197728.37
5-th percentile328584.2
Q1333083.74
median339507.72
Q3344247.8
95-th percentile348504.31
Maximum357185.65
Range159457.28
Interquartile range (IQR)11164.059

Descriptive statistics

Standard deviation9748.7741
Coefficient of variation (CV)0.028776496
Kurtosis74.288501
Mean338775.58
Median Absolute Deviation (MAD)5358.0478
Skewness-5.9377203
Sum2.2494698 × 108
Variance95038597
MonotonicityNot monotonic
2023-12-11T05:31:34.974130image/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%
335874.207251 7
 
0.9%
331330.5204 7
 
0.9%
341586.9551 5
 
0.6%
331841.770251 5
 
0.6%
333075.770887 4
 
0.5%
344047.164924 4
 
0.5%
341060.358082 4
 
0.5%
338560.694883 4
 
0.5%
Other values (478) 602
74.3%
(Missing) 146
 
18.0%
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%
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 

Distinct488
Distinct (%)73.5%
Missing146
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean260778.55
Minimum237692.77
Maximum451030.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T05:31:35.264534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237692.77
5-th percentile240745.93
Q1256612.75
median262262.94
Q3265046.08
95-th percentile269494.42
Maximum451030.85
Range213338.09
Interquartile range (IQR)8433.3346

Descriptive statistics

Standard deviation13883.892
Coefficient of variation (CV)0.053240161
Kurtosis81.429671
Mean260778.55
Median Absolute Deviation (MAD)3232.5888
Skewness6.9499613
Sum1.7315696 × 108
Variance1.9276246 × 108
MonotonicityNot monotonic
2023-12-11T05:31:35.497703image/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%
258661.902888 7
 
0.9%
249378.513866 7
 
0.9%
261584.170369 5
 
0.6%
249503.543267 5
 
0.6%
249218.157833 4
 
0.5%
265132.987974 4
 
0.5%
274001.175164 4
 
0.5%
261656.240623 4
 
0.5%
Other values (478) 602
74.3%
(Missing) 146
 
18.0%
ValueCountFrequency (%)
237692.765575 3
0.4%
237863.093552 2
0.2%
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 3
0.4%
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 size6.5 KiB
냉동
407 
일반
226 
<NA>
112 
충전
61 
특정
 
4

Length

Max length4
Median length2
Mean length2.2765432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 407
50.2%
일반 226
27.9%
<NA> 112
 
13.8%
충전 61
 
7.5%
특정 4
 
0.5%

Length

2023-12-11T05:31:35.681284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:31:35.872278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 407
50.2%
일반 226
27.9%
na 112
 
13.8%
충전 61
 
7.5%
특정 4
 
0.5%

사업장부지용도구분명
Categorical

Distinct34
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
226 
공업용
92 
상업.업무용
80 
주거용
78 
지정되지않음
61 
Other values (29)
273 

Length

Max length7
Median length6
Mean length3.9864198
Min length1

Unique

Unique6 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 226
27.9%
공업용 92
11.4%
상업.업무용 80
 
9.9%
주거용 78
 
9.6%
지정되지않음 61
 
7.5%
상업용 35
 
4.3%
주상나지 26
 
3.2%
공업나지 23
 
2.8%
기타 22
 
2.7%
주.상복합용 21
 
2.6%
Other values (24) 146
18.0%

Length

2023-12-11T05:31:36.087556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 226
27.9%
공업용 92
11.4%
상업.업무용 80
 
9.9%
주거용 78
 
9.6%
지정되지않음 61
 
7.5%
상업용 35
 
4.3%
주상나지 26
 
3.2%
공업나지 23
 
2.8%
기타 22
 
2.7%
주.상복합용 21
 
2.6%
Other values (24) 146
18.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
01고압가스업09_28_05_P3410000200134100130210000120010913<NA>3폐업3폐업20181218<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 41-8번지<NA><NA>(주)대현프리몰20181218205736I2018-12-20 02:20:22.0제조344058.726015264583.431967냉동도로등
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_P3410000201934101300210000120190221<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 41-8번지 대현프리몰대구광역시 중구 국채보상로 지하 580, 대현프리몰 (동성로2가)41909(주)대현프리몰20190401161516U2019-04-03 02:40:00.0제조344058.726015264583.431967냉동<NA>
34고압가스업09_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
45고압가스업09_28_05_P3410000201734101200220000120170406<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로 531, 곽병원 (수동)41919의료법인 운경의료재단20180806123910I2018-08-31 23:59:59.0제조343408.678769264556.652027냉동<NA>
56고압가스업09_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
67고압가스업09_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
78고압가스업09_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
89고압가스업09_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
910고압가스업09_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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
800801고압가스업09_28_05_P3480000200834802890210000520090225<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 문산리 산29<NA><NA>대구광역시 상수도사업본부20200909162534U2020-09-11 02:40:00.0저장소<NA><NA><NA><NA>
801802고압가스업09_28_05_P3480000200834802890210000620080905<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 1번지 -44대구광역시 달성군 논공읍 논공중앙로 211<NA>(주)대호에이엘20180413091209I2018-08-31 23:59:59.0저장소331095.345607248724.236503<NA><NA>
802803고압가스업09_28_05_P3480000200834802890210000720090915<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 304번지대구광역시 달성군 가창면 가창로 1040<NA>대구텍 유한회사20151231175806I2018-08-31 23:59:59.0제조347154.975659256414.706903냉동<NA>
803804고압가스업09_28_05_P3480000200734803260210000120070827<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 내리 837-9번지<NA><NA>대구환경시설공단 달성사업소 폐기물처리시설20140528170859I2018-08-31 23:59:59.0저장소327970.459193238936.70386<NA><NA>
804805고압가스업09_28_05_P3480000200034800050210001619881212<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 580-1번지대구광역시 달성군 논공읍 논공로 664711857에스트라오토모티브시스템 주식회사20190930094810U2019-10-02 02:40:00.0제조331330.5204249378.513866냉동주상나지
805806고압가스업09_28_05_P3480000200034800050210001819880907<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 하리 506-1번지대구광역시 달성군 논공읍 약산덧재길 93<NA>명진농산20111102110932I2018-08-31 23:59:59.0제조329071.518144250182.170797냉동특수토지
806807고압가스업09_28_05_P3480000200034800050210030819860628<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포면 신당리 973-1번지대구광역시 달성군 옥포면 신당3길 17<NA>옥포가스20131126135219I2018-08-31 23:59:59.0저장소330041.124398255856.681409일반다세대
807808고압가스업09_28_05_P3480000200034800050210031720091021<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 833-61번지대구광역시 달성군 논공읍 논공중앙로28길 9<NA>북동특수가스20131113142542I2018-08-31 23:59:59.0저장소331118.73939248466.153084일반연립
808809고압가스업09_28_05_P3480000200034800050210032019870704<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 682번지대구광역시 달성군 다사읍 다사로9길 21-8<NA>현대종합가스20131126135051I2018-08-31 23:59:59.0저장소331601.540545263649.877922일반다세대
809810고압가스업09_28_05_P3480000200034800050210033219921202<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 중리 91번지대구광역시 달성군 현풍면 현풍로24길 14<NA>대동가스20131126135947I2018-08-31 23:59:59.0저장소331264.229648245047.368399일반연립