Overview

Dataset statistics

Number of variables31
Number of observations1186
Missing cells11885
Missing cells (%)32.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory309.4 KiB
Average record size in memory267.1 B

Variable types

Numeric13
Categorical10
Unsupported4
Text3
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123137

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
인허가취소일자 has 1186 (100.0%) missing valuesMissing
폐업일자 has 712 (60.0%) missing valuesMissing
휴업시작일자 has 1146 (96.6%) missing valuesMissing
휴업종료일자 has 1144 (96.5%) missing valuesMissing
재개업일자 has 1164 (98.1%) missing valuesMissing
소재지전화 has 1186 (100.0%) missing valuesMissing
소재지면적 has 1150 (97.0%) missing valuesMissing
소재지우편번호 has 1186 (100.0%) missing valuesMissing
소재지전체주소 has 61 (5.1%) missing valuesMissing
도로명전체주소 has 338 (28.5%) missing valuesMissing
도로명우편번호 has 1056 (89.0%) missing valuesMissing
좌표정보(x) has 185 (15.6%) missing valuesMissing
좌표정보(y) has 185 (15.6%) missing valuesMissing
Unnamed: 30 has 1186 (100.0%) missing valuesMissing
관리번호 is highly skewed (γ1 = -32.6923915)Skewed
폐업일자 is highly skewed (γ1 = -20.90616902)Skewed
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
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-18 08:15:46.094592
Analysis finished2024-04-18 08:15:46.765959
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.5
Minimum1
Maximum1186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:46.824708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.25
Q1297.25
median593.5
Q3889.75
95-th percentile1126.75
Maximum1186
Range1185
Interquartile range (IQR)592.5

Descriptive statistics

Standard deviation342.51302
Coefficient of variation (CV)0.57710702
Kurtosis-1.2
Mean593.5
Median Absolute Deviation (MAD)296.5
Skewness0
Sum703891
Variance117315.17
MonotonicityStrictly increasing
2024-04-18T17:15:46.956193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
798 1
 
0.1%
796 1
 
0.1%
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%
Other values (1176) 1176
99.2%
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 (%)
1186 1
0.1%
1185 1
0.1%
1184 1
0.1%
1183 1
0.1%
1182 1
0.1%
1181 1
0.1%
1180 1
0.1%
1179 1
0.1%
1178 1
0.1%
1177 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
고압가스업
1186 

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 1186
100.0%

Length

2024-04-18T17:15:47.072925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:47.163803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스업 1186
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
09_28_05_P
1186 

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 1186
100.0%

Length

2024-04-18T17:15:47.244172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:47.320537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_05_p 1186
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3332664.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:47.413393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3340000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation44475.19
Coefficient of variation (CV)0.013345235
Kurtosis-0.93639956
Mean3332664.4
Median Absolute Deviation (MAD)30000
Skewness-0.29787181
Sum3.95254 × 109
Variance1.9780426 × 109
MonotonicityNot monotonic
2024-04-18T17:15:47.515324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3340000 241
20.3%
3360000 153
12.9%
3390000 143
12.1%
3260000 92
 
7.8%
3330000 89
 
7.5%
3400000 78
 
6.6%
3290000 62
 
5.2%
3280000 53
 
4.5%
3310000 52
 
4.4%
3250000 50
 
4.2%
Other values (6) 173
14.6%
ValueCountFrequency (%)
3250000 50
 
4.2%
3260000 92
 
7.8%
3270000 41
 
3.5%
3280000 53
 
4.5%
3290000 62
 
5.2%
3300000 33
 
2.8%
3310000 52
 
4.4%
3320000 25
 
2.1%
3330000 89
 
7.5%
3340000 241
20.3%
ValueCountFrequency (%)
3400000 78
 
6.6%
3390000 143
12.1%
3380000 13
 
1.1%
3370000 28
 
2.4%
3360000 153
12.9%
3350000 33
 
2.8%
3340000 241
20.3%
3330000 89
 
7.5%
3320000 25
 
2.1%
3310000 52
 
4.4%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct1186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0017953 × 1018
Minimum3.280092 × 1014
Maximum2.021332 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:47.632671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.280092 × 1014
5-th percentile1.982334 × 1018
Q12.000334 × 1018
median2.003331 × 1018
Q32.01034 × 1018
95-th percentile2.0193288 × 1018
Maximum2.021332 × 1018
Range2.021004 × 1018
Interquartile range (IQR)1.0006003 × 1016

Descriptive statistics

Standard deviation5.918841 × 1016
Coefficient of variation (CV)0.029567663
Kurtosis1105.9982
Mean2.0017953 × 1018
Median Absolute Deviation (MAD)5.9970032 × 1015
Skewness-32.692392
Sum-5.5007256 × 1018
Variance3.5032679 × 1033
MonotonicityNot monotonic
2024-04-18T17:15:47.758197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1887325001402200010 1
 
0.1%
2005328001502100002 1
 
0.1%
2003328001502100019 1
 
0.1%
1984328001502100004 1
 
0.1%
2000328001502100008 1
 
0.1%
1996328001502100007 1
 
0.1%
1980328001502100021 1
 
0.1%
1980328001502100019 1
 
0.1%
1979328001502100015 1
 
0.1%
1978328001502100011 1
 
0.1%
Other values (1176) 1176
99.2%
ValueCountFrequency (%)
328009202100001 1
0.1%
1887325001402200010 1
0.1%
1968325001402100001 1
0.1%
1968325001402100002 1
0.1%
1968328001502100001 1
0.1%
1968329010702100001 1
0.1%
1969328001502100003 1
0.1%
1969328001502100004 1
0.1%
1971326009702100001 1
0.1%
1972328001502100005 1
0.1%
ValueCountFrequency (%)
2021332010702200001 1
0.1%
2020340010902200003 1
0.1%
2020340010902200002 1
0.1%
2020340010902200001 1
0.1%
2020340010902100002 1
0.1%
2020340010902100001 1
0.1%
2020339009102100002 1
0.1%
2020339009102100001 1
0.1%
2020337010602100001 1
0.1%
2020337006902100001 1
0.1%

인허가일자
Real number (ℝ)

Distinct943
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20035634
Minimum18871231
Maximum20210128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:47.908003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18871231
5-th percentile19790446
Q119980640
median20080221
Q320110211
95-th percentile20190357
Maximum20210128
Range1338897
Interquartile range (IQR)129571

Descriptive statistics

Standard deviation121950.47
Coefficient of variation (CV)0.0060866789
Kurtosis6.8825869
Mean20035634
Median Absolute Deviation (MAD)60052.5
Skewness-1.5893078
Sum2.3762262 × 1010
Variance1.4871918 × 1010
MonotonicityNot monotonic
2024-04-18T17:15:48.042884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19970701 8
 
0.7%
20121024 7
 
0.6%
20070918 7
 
0.6%
20100713 5
 
0.4%
20000106 5
 
0.4%
19950516 4
 
0.3%
20020129 4
 
0.3%
20181102 4
 
0.3%
20021230 4
 
0.3%
20090410 4
 
0.3%
Other values (933) 1134
95.6%
ValueCountFrequency (%)
18871231 1
0.1%
19680508 1
0.1%
19680514 1
0.1%
19680624 2
0.2%
19680907 1
0.1%
19681004 1
0.1%
19690403 1
0.1%
19690620 2
0.2%
19710803 1
0.1%
19711029 1
0.1%
ValueCountFrequency (%)
20210128 1
 
0.1%
20201228 2
0.2%
20201106 1
 
0.1%
20201028 1
 
0.1%
20201027 1
 
0.1%
20201013 2
0.2%
20200929 2
0.2%
20200909 2
0.2%
20200824 1
 
0.1%
20200723 3
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
669 
3
489 
2
 
28

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 (%)
1 669
56.4%
3 489
41.2%
2 28
 
2.4%

Length

2024-04-18T17:15:48.167889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:48.251734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 669
56.4%
3 489
41.2%
2 28
 
2.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업/정상
669 
폐업
489 
휴업
 
28

Length

Max length5
Median length5
Mean length3.6922428
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 669
56.4%
폐업 489
41.2%
휴업 28
 
2.4%

Length

2024-04-18T17:15:48.358556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:48.448575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 669
56.4%
폐업 489
41.2%
휴업 28
 
2.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
669 
3
489 
2
 
28

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 (%)
1 669
56.4%
3 489
41.2%
2 28
 
2.4%

Length

2024-04-18T17:15:48.538046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:48.621247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 669
56.4%
3 489
41.2%
2 28
 
2.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업중
669 
폐업
489 
휴업
 
28

Length

Max length3
Median length3
Mean length2.5640809
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 669
56.4%
폐업 489
41.2%
휴업 28
 
2.4%

Length

2024-04-18T17:15:48.720226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:48.807090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 669
56.4%
폐업 489
41.2%
휴업 28
 
2.4%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct331
Distinct (%)69.8%
Missing712
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean20102224
Minimum11111111
Maximum20210119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:48.904193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11111111
5-th percentile20040246
Q120090714
median20120619
Q320160511
95-th percentile20200382
Maximum20210119
Range9099008
Interquartile range (IQR)69796.5

Descriptive statistics

Standard deviation419730.46
Coefficient of variation (CV)0.020879802
Kurtosis447.92052
Mean20102224
Median Absolute Deviation (MAD)30411.5
Skewness-20.906169
Sum9.5284541 × 109
Variance1.7617366 × 1011
MonotonicityNot monotonic
2024-04-18T17:15:49.038093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120523 22
 
1.9%
20120619 17
 
1.4%
20111122 10
 
0.8%
20070824 5
 
0.4%
20180821 5
 
0.4%
20140116 4
 
0.3%
20120120 4
 
0.3%
20170524 4
 
0.3%
20110826 3
 
0.3%
20170905 3
 
0.3%
Other values (321) 397
33.5%
(Missing) 712
60.0%
ValueCountFrequency (%)
11111111 1
 
0.1%
19000101 1
 
0.1%
19910629 1
 
0.1%
19971127 1
 
0.1%
19990608 1
 
0.1%
20000101 2
0.2%
20000103 1
 
0.1%
20010222 3
0.3%
20021204 1
 
0.1%
20021231 1
 
0.1%
ValueCountFrequency (%)
20210119 2
0.2%
20210118 1
0.1%
20210107 2
0.2%
20201130 1
0.1%
20201026 1
0.1%
20201020 1
0.1%
20201008 1
0.1%
20200916 2
0.2%
20200909 1
0.1%
20200904 2
0.2%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)87.5%
Missing1146
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean20159326
Minimum20040412
Maximum20210201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:49.146125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040412
5-th percentile20078648
Q120140992
median20165903
Q320190910
95-th percentile20210115
Maximum20210201
Range169789
Interquartile range (IQR)49917.75

Descriptive statistics

Standard deviation44139.282
Coefficient of variation (CV)0.0021895217
Kurtosis0.67886505
Mean20159326
Median Absolute Deviation (MAD)24990
Skewness-1.0934659
Sum8.0637304 × 108
Variance1.9482762 × 109
MonotonicityNot monotonic
2024-04-18T17:15:49.257562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20161101 2
 
0.2%
20200228 2
 
0.2%
20210115 2
 
0.2%
20190910 2
 
0.2%
20150611 2
 
0.2%
20051025 1
 
0.1%
20130108 1
 
0.1%
20170705 1
 
0.1%
20160609 1
 
0.1%
20190603 1
 
0.1%
Other values (25) 25
 
2.1%
(Missing) 1146
96.6%
ValueCountFrequency (%)
20040412 1
0.1%
20051025 1
0.1%
20080102 1
0.1%
20080821 1
0.1%
20090801 1
0.1%
20100518 1
0.1%
20130108 1
0.1%
20130121 1
0.1%
20130716 1
0.1%
20140930 1
0.1%
ValueCountFrequency (%)
20210201 1
0.1%
20210119 1
0.1%
20210115 2
0.2%
20201203 1
0.1%
20200514 1
0.1%
20200228 2
0.2%
20200213 1
0.1%
20190910 2
0.2%
20190603 1
0.1%
20190426 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)81.0%
Missing1144
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean31647572
Minimum20050305
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:49.378603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050305
5-th percentile20061994
Q120163131
median20196070
Q320501231
95-th percentile99991215
Maximum99991231
Range79940926
Interquartile range (IQR)338100

Descriptive statistics

Standard deviation28240163
Coefficient of variation (CV)0.89233268
Kurtosis2.6055911
Mean31647572
Median Absolute Deviation (MAD)55652.5
Skewness2.1173363
Sum1.329198 × 109
Variance7.9750681 × 1014
MonotonicityNot monotonic
2024-04-18T17:15:49.505050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20501231 3
 
0.3%
99991231 3
 
0.3%
20220131 2
 
0.2%
99990101 2
 
0.2%
20180102 2
 
0.2%
20210714 2
 
0.2%
20180508 1
 
0.1%
20160731 1
 
0.1%
20050305 1
 
0.1%
20191231 1
 
0.1%
Other values (24) 24
 
2.0%
(Missing) 1144
96.5%
ValueCountFrequency (%)
20050305 1
0.1%
20050412 1
0.1%
20061024 1
0.1%
20080419 1
0.1%
20080630 1
0.1%
20090820 1
0.1%
20100731 1
0.1%
20110517 1
0.1%
20140120 1
0.1%
20140715 1
0.1%
ValueCountFrequency (%)
99991231 3
0.3%
99990909 1
 
0.1%
99990101 2
0.2%
21001231 1
 
0.1%
21000123 1
 
0.1%
20991231 1
 
0.1%
20501231 3
0.3%
20220131 2
0.2%
20210718 1
 
0.1%
20210714 2
0.2%

재개업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1164
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean20147982
Minimum20070813
Maximum20201222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:49.617556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070813
5-th percentile20071411
Q120103111
median20180110
Q320180739
95-th percentile20200881
Maximum20201222
Range130409
Interquartile range (IQR)77628.5

Descriptive statistics

Standard deviation47105.954
Coefficient of variation (CV)0.0023379986
Kurtosis-1.467822
Mean20147982
Median Absolute Deviation (MAD)20961
Skewness-0.50145994
Sum4.4325561 × 108
Variance2.2189709 × 109
MonotonicityNot monotonic
2024-04-18T17:15:49.719175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20091230 1
 
0.1%
20181108 1
 
0.1%
20140714 1
 
0.1%
20150603 1
 
0.1%
20100610 1
 
0.1%
20081001 1
 
0.1%
20070906 1
 
0.1%
20180813 1
 
0.1%
20180118 1
 
0.1%
20110613 1
 
0.1%
Other values (12) 12
 
1.0%
(Missing) 1164
98.1%
ValueCountFrequency (%)
20070813 1
0.1%
20070906 1
0.1%
20081001 1
0.1%
20090925 1
0.1%
20091230 1
0.1%
20100610 1
0.1%
20110613 1
0.1%
20110914 1
0.1%
20140714 1
0.1%
20150603 1
0.1%
ValueCountFrequency (%)
20201222 1
0.1%
20200921 1
0.1%
20200117 1
0.1%
20190926 1
0.1%
20181108 1
0.1%
20180813 1
0.1%
20180518 1
0.1%
20180514 1
0.1%
20180509 1
0.1%
20180412 1
0.1%

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.6 KiB

소재지면적
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)91.7%
Missing1150
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean9459.3131
Minimum0
Maximum70136
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:49.827124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q1118
median808.58
Q34070.375
95-th percentile56247.042
Maximum70136
Range70136
Interquartile range (IQR)3952.375

Descriptive statistics

Standard deviation19443.782
Coefficient of variation (CV)2.0555174
Kurtosis4.4545151
Mean9459.3131
Median Absolute Deviation (MAD)770.75
Skewness2.3240023
Sum340535.27
Variance3.7806067 × 108
MonotonicityNot monotonic
2024-04-18T17:15:49.936587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
390.0 2
 
0.2%
0.0 2
 
0.2%
70136.0 2
 
0.2%
1579.0 1
 
0.1%
32.69 1
 
0.1%
51617.39 1
 
0.1%
5000.0 1
 
0.1%
46.08 1
 
0.1%
37.5 1
 
0.1%
200.0 1
 
0.1%
Other values (23) 23
 
1.9%
(Missing) 1150
97.0%
ValueCountFrequency (%)
0.0 2
0.2%
1.0 1
0.1%
32.69 1
0.1%
37.5 1
0.1%
46.08 1
0.1%
74.2 1
0.1%
82.5 1
0.1%
100.0 1
0.1%
124.0 1
0.1%
141.0 1
0.1%
ValueCountFrequency (%)
70136.0 2
0.2%
51617.39 1
0.1%
47200.0 1
0.1%
24699.0 1
0.1%
22805.0 1
0.1%
21889.7 1
0.1%
7000.0 1
0.1%
5000.0 1
0.1%
3760.5 1
0.1%
3019.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.6 KiB

소재지전체주소
Text

MISSING 

Distinct861
Distinct (%)76.5%
Missing61
Missing (%)5.1%
Memory size9.4 KiB
2024-04-18T17:15:50.244436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length22.032
Min length13

Characters and Unicode

Total characters24786
Distinct characters257
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique716 ?
Unique (%)63.6%

Sample

1st row부산광역시 중구 중앙동4가 89번지
2nd row부산광역시 중구 남포동4가 30번지
3rd row부산광역시 중구 남포동6가 18번지
4th row부산광역시 중구 대청동1가 44번지
5th row부산광역시 중구 동광동2가 1번지
ValueCountFrequency (%)
부산광역시 1124
23.5%
사하구 233
 
4.9%
강서구 153
 
3.2%
사상구 135
 
2.8%
송정동 104
 
2.2%
서구 82
 
1.7%
장림동 78
 
1.6%
기장군 76
 
1.6%
해운대구 75
 
1.6%
부산진구 56
 
1.2%
Other values (1112) 2659
55.7%
2024-04-18T17:15:50.689687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3650
 
14.7%
부 1268
 
5.1%
산 1258
 
5.1%
동 1177
 
4.7%
광 1148
 
4.6%
1 1147
 
4.6%
시 1146
 
4.6%
역 1137
 
4.6%
구 1104
 
4.5%
지 1045
 
4.2%
Other values (247) 10706
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15410
62.2%
Decimal Number 4827
 
19.5%
Space Separator 3650
 
14.7%
Dash Punctuation 819
 
3.3%
Uppercase Letter 31
 
0.1%
Other Punctuation 17
 
0.1%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1268
 
8.2%
산 1258
 
8.2%
동 1177
 
7.6%
광 1148
 
7.4%
시 1146
 
7.4%
역 1137
 
7.4%
구 1104
 
7.2%
지 1045
 
6.8%
번 1013
 
6.6%
사 393
 
2.6%
Other values (218) 4721
30.6%
Uppercase Letter
ValueCountFrequency (%)
L 5
16.1%
B 5
16.1%
C 4
12.9%
M 3
9.7%
S 3
9.7%
E 2
 
6.5%
G 2
 
6.5%
N 2
 
6.5%
K 2
 
6.5%
A 1
 
3.2%
Other values (2) 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 1147
23.8%
2 548
11.4%
5 491
10.2%
3 490
10.2%
4 423
 
8.8%
7 372
 
7.7%
0 364
 
7.5%
6 345
 
7.1%
8 335
 
6.9%
9 312
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 15
88.2%
/ 1
 
5.9%
· 1
 
5.9%
Space Separator
ValueCountFrequency (%)
3650
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 819
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15410
62.2%
Common 9345
37.7%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1268
 
8.2%
산 1258
 
8.2%
동 1177
 
7.6%
광 1148
 
7.4%
시 1146
 
7.4%
역 1137
 
7.4%
구 1104
 
7.2%
지 1045
 
6.8%
번 1013
 
6.6%
사 393
 
2.6%
Other values (218) 4721
30.6%
Common
ValueCountFrequency (%)
3650
39.1%
1 1147
 
12.3%
- 819
 
8.8%
2 548
 
5.9%
5 491
 
5.3%
3 490
 
5.2%
4 423
 
4.5%
7 372
 
4.0%
0 364
 
3.9%
6 345
 
3.7%
Other values (7) 696
 
7.4%
Latin
ValueCountFrequency (%)
L 5
16.1%
B 5
16.1%
C 4
12.9%
M 3
9.7%
S 3
9.7%
E 2
 
6.5%
G 2
 
6.5%
N 2
 
6.5%
K 2
 
6.5%
A 1
 
3.2%
Other values (2) 2
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15410
62.2%
ASCII 9375
37.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3650
38.9%
1 1147
 
12.2%
- 819
 
8.7%
2 548
 
5.8%
5 491
 
5.2%
3 490
 
5.2%
4 423
 
4.5%
7 372
 
4.0%
0 364
 
3.9%
6 345
 
3.7%
Other values (18) 726
 
7.7%
Hangul
ValueCountFrequency (%)
부 1268
 
8.2%
산 1258
 
8.2%
동 1177
 
7.6%
광 1148
 
7.4%
시 1146
 
7.4%
역 1137
 
7.4%
구 1104
 
7.2%
지 1045
 
6.8%
번 1013
 
6.6%
사 393
 
2.6%
Other values (218) 4721
30.6%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct659
Distinct (%)77.7%
Missing338
Missing (%)28.5%
Memory size9.4 KiB
2024-04-18T17:15:50.956165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length26.216981
Min length20

Characters and Unicode

Total characters22232
Distinct characters276
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

Unique557 ?
Unique (%)65.7%

Sample

1st row부산광역시 중구 대청로 112 (대청동1가)
2nd row부산광역시 중구 광복로97번길 26-2 (동광동2가)
3rd row부산광역시 중구 중앙대로 88 (중앙동4가)
4th row부산광역시 중구 충장대로9번길 22 (중앙동4가)
5th row부산광역시 중구 자갈치로37번길 4 (남포동5가)
ValueCountFrequency (%)
부산광역시 846
 
19.3%
사하구 169
 
3.9%
강서구 121
 
2.8%
사상구 113
 
2.6%
송정동 88
 
2.0%
해운대구 76
 
1.7%
장림동 65
 
1.5%
서구 63
 
1.4%
중앙대로 52
 
1.2%
기장군 46
 
1.0%
Other values (880) 2742
62.6%
2024-04-18T17:15:51.368421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3703
 
16.7%
산 1123
 
5.1%
부 962
 
4.3%
동 949
 
4.3%
시 876
 
3.9%
광 874
 
3.9%
역 853
 
3.8%
구 849
 
3.8%
로 827
 
3.7%
( 819
 
3.7%
Other values (266) 10397
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13629
61.3%
Space Separator 3703
 
16.7%
Decimal Number 3041
 
13.7%
Open Punctuation 819
 
3.7%
Close Punctuation 819
 
3.7%
Other Punctuation 98
 
0.4%
Dash Punctuation 76
 
0.3%
Uppercase Letter 47
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1123
 
8.2%
부 962
 
7.1%
동 949
 
7.0%
시 876
 
6.4%
광 874
 
6.4%
역 853
 
6.3%
구 849
 
6.2%
로 827
 
6.1%
대 456
 
3.3%
사 314
 
2.3%
Other values (238) 5546
40.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
21.3%
E 8
17.0%
A 7
14.9%
P 6
12.8%
M 3
 
6.4%
S 3
 
6.4%
N 2
 
4.3%
L 2
 
4.3%
G 2
 
4.3%
K 2
 
4.3%
Other values (2) 2
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 605
19.9%
2 437
14.4%
3 315
10.4%
7 286
9.4%
6 286
9.4%
4 270
8.9%
0 255
8.4%
5 223
 
7.3%
9 222
 
7.3%
8 142
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 97
99.0%
/ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
3703
100.0%
Open Punctuation
ValueCountFrequency (%)
( 819
100.0%
Close Punctuation
ValueCountFrequency (%)
) 819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13629
61.3%
Common 8556
38.5%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1123
 
8.2%
부 962
 
7.1%
동 949
 
7.0%
시 876
 
6.4%
광 874
 
6.4%
역 853
 
6.3%
구 849
 
6.2%
로 827
 
6.1%
대 456
 
3.3%
사 314
 
2.3%
Other values (238) 5546
40.7%
Common
ValueCountFrequency (%)
3703
43.3%
( 819
 
9.6%
) 819
 
9.6%
1 605
 
7.1%
2 437
 
5.1%
3 315
 
3.7%
7 286
 
3.3%
6 286
 
3.3%
4 270
 
3.2%
0 255
 
3.0%
Other values (6) 761
 
8.9%
Latin
ValueCountFrequency (%)
C 10
21.3%
E 8
17.0%
A 7
14.9%
P 6
12.8%
M 3
 
6.4%
S 3
 
6.4%
N 2
 
4.3%
L 2
 
4.3%
G 2
 
4.3%
K 2
 
4.3%
Other values (2) 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13629
61.3%
ASCII 8603
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3703
43.0%
( 819
 
9.5%
) 819
 
9.5%
1 605
 
7.0%
2 437
 
5.1%
3 315
 
3.7%
7 286
 
3.3%
6 286
 
3.3%
4 270
 
3.1%
0 255
 
3.0%
Other values (18) 808
 
9.4%
Hangul
ValueCountFrequency (%)
산 1123
 
8.2%
부 962
 
7.1%
동 949
 
7.0%
시 876
 
6.4%
광 874
 
6.4%
역 853
 
6.3%
구 849
 
6.2%
로 827
 
6.1%
대 456
 
3.3%
사 314
 
2.3%
Other values (238) 5546
40.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)65.4%
Missing1056
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean47040.192
Minimum3149
Maximum49517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:51.859770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3149
5-th percentile46034
Q146753
median48059.5
Q348558.25
95-th percentile49322.85
Maximum49517
Range46368
Interquartile range (IQR)1805.25

Descriptive statistics

Standard deviation5616.3317
Coefficient of variation (CV)0.11939432
Kurtosis57.516988
Mean47040.192
Median Absolute Deviation (MAD)1123.5
Skewness-7.4991138
Sum6115225
Variance31543182
MonotonicityNot monotonic
2024-04-18T17:15:51.973122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48099 12
 
1.0%
49273 5
 
0.4%
46753 4
 
0.3%
46757 4
 
0.3%
49255 3
 
0.3%
46754 3
 
0.3%
49267 3
 
0.3%
46718 3
 
0.3%
48060 3
 
0.3%
47021 2
 
0.2%
Other values (75) 88
 
7.4%
(Missing) 1056
89.0%
ValueCountFrequency (%)
3149 2
0.2%
46014 1
0.1%
46026 1
0.1%
46028 1
0.1%
46033 1
0.1%
46034 2
0.2%
46036 2
0.2%
46041 1
0.1%
46048 1
0.1%
46078 1
0.1%
ValueCountFrequency (%)
49517 1
 
0.1%
49498 1
 
0.1%
49479 1
 
0.1%
49463 1
 
0.1%
49454 1
 
0.1%
49434 1
 
0.1%
49362 1
 
0.1%
49275 1
 
0.1%
49273 5
0.4%
49269 1
 
0.1%

사업장명
Text

Distinct960
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-04-18T17:15:52.186152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length9.3490725
Min length2

Characters and Unicode

Total characters11088
Distinct characters434
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique813 ?
Unique (%)68.5%

Sample

1st row부산교통공단
2nd row금진제빙냉동사
3rd row(주)씨에스실업
4th row(주)한국은행 부산본부
5th row삼호실업(주)
ValueCountFrequency (%)
부산공장 32
 
2.1%
씨제이제일제당(주 29
 
1.9%
르노삼성자동차(주 18
 
1.2%
부산광역시 12
 
0.8%
주식회사 10
 
0.7%
부산교통공사 10
 
0.7%
협신산업가스(주 9
 
0.6%
동국제강(주 8
 
0.5%
롯데쇼핑(주 8
 
0.5%
대선조선(주 8
 
0.5%
Other values (1045) 1350
90.4%
2024-04-18T17:15:52.516270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 765
 
6.9%
( 765
 
6.9%
주 716
 
6.5%
산 398
 
3.6%
308
 
2.8%
부 307
 
2.8%
스 246
 
2.2%
공 214
 
1.9%
제 205
 
1.8%
동 184
 
1.7%
Other values (424) 6980
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8931
80.5%
Close Punctuation 766
 
6.9%
Open Punctuation 766
 
6.9%
Space Separator 308
 
2.8%
Decimal Number 177
 
1.6%
Uppercase Letter 86
 
0.8%
Lowercase Letter 32
 
0.3%
Other Symbol 11
 
0.1%
Dash Punctuation 7
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 716
 
8.0%
산 398
 
4.5%
부 307
 
3.4%
스 246
 
2.8%
공 214
 
2.4%
제 205
 
2.3%
동 184
 
2.1%
장 182
 
2.0%
사 165
 
1.8%
대 162
 
1.8%
Other values (374) 6152
68.9%
Uppercase Letter
ValueCountFrequency (%)
G 16
18.6%
N 15
17.4%
C 14
16.3%
S 13
15.1%
T 7
8.1%
M 4
 
4.7%
E 4
 
4.7%
K 3
 
3.5%
R 2
 
2.3%
B 2
 
2.3%
Other values (5) 6
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
15.6%
u 4
12.5%
o 3
9.4%
r 3
9.4%
c 2
 
6.2%
h 2
 
6.2%
p 2
 
6.2%
l 2
 
6.2%
k 2
 
6.2%
a 2
 
6.2%
Other values (5) 5
15.6%
Decimal Number
ValueCountFrequency (%)
1 60
33.9%
2 28
15.8%
9 22
 
12.4%
5 19
 
10.7%
6 13
 
7.3%
3 11
 
6.2%
7 8
 
4.5%
4 7
 
4.0%
8 5
 
2.8%
0 4
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 1
25.0%
· 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 765
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 765
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
308
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8942
80.6%
Common 2028
 
18.3%
Latin 118
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 716
 
8.0%
산 398
 
4.5%
부 307
 
3.4%
스 246
 
2.8%
공 214
 
2.4%
제 205
 
2.3%
동 184
 
2.1%
장 182
 
2.0%
사 165
 
1.8%
대 162
 
1.8%
Other values (375) 6163
68.9%
Latin
ValueCountFrequency (%)
G 16
13.6%
N 15
12.7%
C 14
11.9%
S 13
 
11.0%
T 7
 
5.9%
e 5
 
4.2%
M 4
 
3.4%
u 4
 
3.4%
E 4
 
3.4%
K 3
 
2.5%
Other values (20) 33
28.0%
Common
ValueCountFrequency (%)
) 765
37.7%
( 765
37.7%
308
15.2%
1 60
 
3.0%
2 28
 
1.4%
9 22
 
1.1%
5 19
 
0.9%
6 13
 
0.6%
3 11
 
0.5%
7 8
 
0.4%
Other values (9) 29
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8929
80.5%
ASCII 2145
 
19.3%
None 12
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 765
35.7%
( 765
35.7%
308
14.4%
1 60
 
2.8%
2 28
 
1.3%
9 22
 
1.0%
5 19
 
0.9%
G 16
 
0.7%
N 15
 
0.7%
C 14
 
0.7%
Other values (38) 133
 
6.2%
Hangul
ValueCountFrequency (%)
주 716
 
8.0%
산 398
 
4.5%
부 307
 
3.4%
스 246
 
2.8%
공 214
 
2.4%
제 205
 
2.3%
동 184
 
2.1%
장 182
 
2.0%
사 165
 
1.8%
대 162
 
1.8%
Other values (372) 6150
68.9%
None
ValueCountFrequency (%)
㈜ 11
91.7%
· 1
 
8.3%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
50.0%
ㄿ 1
50.0%

최종수정시점
Real number (ℝ)

Distinct1183
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0155315 × 1013
Minimum2.0020618 × 1013
Maximum2.0210128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:52.645836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020618 × 1013
5-th percentile2.0071026 × 1013
Q12.0120911 × 1013
median2.0161229 × 1013
Q32.0190702 × 1013
95-th percentile2.0201013 × 1013
Maximum2.0210128 × 1013
Range1.8951016 × 1011
Interquartile range (IQR)6.9791017 × 1010

Descriptive statistics

Standard deviation4.108272 × 1010
Coefficient of variation (CV)0.0020383071
Kurtosis-0.39149662
Mean2.0155315 × 1013
Median Absolute Deviation (MAD)3.0005966 × 1010
Skewness-0.69002973
Sum2.3904203 × 1016
Variance1.6877899 × 1021
MonotonicityNot monotonic
2024-04-18T17:15:52.767732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060131000000 2
 
0.2%
20061219000000 2
 
0.2%
20020705000000 2
 
0.2%
20181002145150 1
 
0.1%
20181130143114 1
 
0.1%
20131231174821 1
 
0.1%
20190429143648 1
 
0.1%
20131231170737 1
 
0.1%
20151126103957 1
 
0.1%
20131231174552 1
 
0.1%
Other values (1173) 1173
98.9%
ValueCountFrequency (%)
20020618000000 1
0.1%
20020705000000 2
0.2%
20030609000000 1
0.1%
20030627000000 1
0.1%
20040524000000 1
0.1%
20040902000000 1
0.1%
20050715000000 1
0.1%
20050808000000 1
0.1%
20051026000000 1
0.1%
20060131000000 2
0.2%
ValueCountFrequency (%)
20210128160348 1
0.1%
20210128154358 1
0.1%
20210127224532 1
0.1%
20210126170443 1
0.1%
20210125151952 1
0.1%
20210122145736 1
0.1%
20210122144827 1
0.1%
20210121184935 1
0.1%
20210120181749 1
0.1%
20210120181432 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
I
818 
U
368 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 818
69.0%
U 368
31.0%

Length

2024-04-18T17:15:52.902304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:52.981894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 818
69.0%
u 368
31.0%

데이터갱신일자
Date

Distinct279
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-30 02:40:00
2024-04-18T17:15:53.073370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T17:15:53.204131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
제조
822 
저장소
215 
판매
149 

Length

Max length3
Median length2
Mean length2.1812816
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 822
69.3%
저장소 215
 
18.1%
판매 149
 
12.6%

Length

2024-04-18T17:15:53.317271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:53.407256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 822
69.3%
저장소 215
 
18.1%
판매 149
 
12.6%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct704
Distinct (%)70.3%
Missing185
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean383729.79
Minimum198550.79
Maximum408237.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:53.504701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198550.79
5-th percentile368087.75
Q1380055.39
median383218.19
Q3389097.8
95-th percentile399027.71
Maximum408237.87
Range209687.08
Interquartile range (IQR)9042.4088

Descriptive statistics

Standard deviation11899.567
Coefficient of variation (CV)0.031010276
Kurtosis115.84227
Mean383729.79
Median Absolute Deviation (MAD)4092.9058
Skewness-7.472175
Sum3.8411351 × 108
Variance1.4159969 × 108
MonotonicityNot monotonic
2024-04-18T17:15:53.627889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380101.664479822 33
 
2.8%
371070.269343027 17
 
1.4%
381613.325457691 10
 
0.8%
387271.299492377 7
 
0.6%
379157.466095499 6
 
0.5%
379438.492512255 6
 
0.5%
388705.130403587 6
 
0.5%
387618.822819234 5
 
0.4%
397022.971550345 5
 
0.4%
367423.884531247 5
 
0.4%
Other values (694) 901
76.0%
(Missing) 185
 
15.6%
ValueCountFrequency (%)
198550.794581565 2
 
0.2%
364927.696730227 1
 
0.1%
366237.797897511 2
 
0.2%
366339.309102189 3
0.3%
366426.288931897 5
0.4%
366495.469270697 4
0.3%
366646.528221811 2
 
0.2%
366784.832549416 1
 
0.1%
366803.505925444 1
 
0.1%
366833.301125353 1
 
0.1%
ValueCountFrequency (%)
408237.872515778 1
0.1%
407843.966573645 1
0.1%
407712.0 1
0.1%
407533.057972118 1
0.1%
406389.433581517 1
0.1%
405845.469300549 1
0.1%
405732.292736473 1
0.1%
405486.506678068 1
0.1%
405438.837308789 1
0.1%
405191.151411237 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct703
Distinct (%)70.2%
Missing185
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean184000.95
Minimum170813.58
Maximum452315.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T17:15:53.739347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum170813.58
5-th percentile175555.5
Q1178207.41
median181340.96
Q3187231.53
95-th percentile196516.49
Maximum452315.52
Range281501.94
Interquartile range (IQR)9024.1228

Descriptive statistics

Standard deviation13813.689
Coefficient of variation (CV)0.07507401
Kurtosis283.63127
Mean184000.95
Median Absolute Deviation (MAD)3927.958
Skewness14.797596
Sum1.8418495 × 108
Variance1.9081801 × 108
MonotonicityNot monotonic
2024-04-18T17:15:53.854552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177863.674839855 33
 
2.8%
178844.957191338 17
 
1.4%
174551.635641826 10
 
0.8%
186099.137533193 7
 
0.6%
177769.760203103 6
 
0.5%
183814.8762413 6
 
0.5%
181340.958027752 6
 
0.5%
186273.478853367 5
 
0.4%
186692.06462196 5
 
0.4%
178767.878381559 5
 
0.4%
Other values (693) 901
76.0%
(Missing) 185
 
15.6%
ValueCountFrequency (%)
170813.584718477 1
0.1%
174072.34965812 2
0.2%
174149.423830981 2
0.2%
174282.637515014 2
0.2%
174315.265600106 1
0.1%
174355.708212487 1
0.1%
174419.270504403 1
0.1%
174428.418993288 2
0.2%
174449.406712912 1
0.1%
174460.724300014 1
0.1%
ValueCountFrequency (%)
452315.522758616 2
0.2%
210517.397739759 1
0.1%
209750.894917599 1
0.1%
209676.73239 1
0.1%
209218.810018229 1
0.1%
206475.252052201 1
0.1%
205809.77319617 1
0.1%
205804.8283714 1
0.1%
205797.0 1
0.1%
205523.419085824 1
0.1%

제조구분명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
냉동
654 
일반
273 
<NA>
127 
충전
120 
특정
 
12

Length

Max length4
Median length2
Mean length2.2141653
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 654
55.1%
일반 273
23.0%
<NA> 127
 
10.7%
충전 120
 
10.1%
특정 12
 
1.0%

Length

2024-04-18T17:15:53.992325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:15:54.088057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 654
55.1%
일반 273
23.0%
na 127
 
10.7%
충전 120
 
10.1%
특정 12
 
1.0%

사업장부지용도구분명
Categorical

Distinct28
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
<NA>
294 
지정되지않음
232 
공업용
219 
기타
150 
위험시설
60 
Other values (23)
231 

Length

Max length6
Median length5
Mean length3.9881956
Min length1

Unique

Unique9 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 294
24.8%
지정되지않음 232
19.6%
공업용 219
18.5%
기타 150
12.6%
위험시설 60
 
5.1%
상업용 42
 
3.5%
상업.업무용 42
 
3.5%
업무용 35
 
3.0%
주.상복합용 34
 
2.9%
공업기타 17
 
1.4%
Other values (18) 61
 
5.1%

Length

2024-04-18T17:15:54.192820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 294
24.8%
지정되지않음 232
19.6%
공업용 219
18.5%
기타 150
12.6%
위험시설 60
 
5.1%
상업용 42
 
3.5%
상업.업무용 42
 
3.5%
업무용 35
 
3.0%
주.상복합용 34
 
2.9%
공업기타 17
 
1.4%
Other values (18) 61
 
5.1%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.6 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)제조구분명사업장부지용도구분명Unnamed: 30
01고압가스업09_28_05_P3250000188732500140220001018871231<NA>3폐업3폐업11111111<NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 89번지<NA><NA>부산교통공단20131226112232I2018-08-31 23:59:59.0제조<NA><NA>냉동지정되지않음<NA>
12고압가스업09_28_05_P3250000196832500140210000119680508<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동4가 30번지<NA><NA>금진제빙냉동사20070305000000I2018-08-31 23:59:59.0제조385160.754397179452.209734냉동지정되지않음<NA>
23고압가스업09_28_05_P3250000196832500140210000220081218<NA>3폐업3폐업20150414<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 18번지<NA><NA>(주)씨에스실업20150414113803I2018-08-31 23:59:59.0제조384790.679128179360.939552냉동지정되지않음<NA>
34고압가스업09_28_05_P3250000197632500140220000320090804<NA>3폐업3폐업20130801<NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 44번지부산광역시 중구 대청로 112 (대청동1가)<NA>(주)한국은행 부산본부20141209160156I2018-08-31 23:59:59.0제조385221.047714180047.419477냉동지정되지않음<NA>
45고압가스업09_28_05_P3250000197632500140220001719761116<NA>3폐업3폐업20050215<NA><NA><NA><NA><NA><NA>부산광역시 중구 동광동2가 1번지부산광역시 중구 광복로97번길 26-2 (동광동2가)<NA>삼호실업(주)20110518150339I2018-08-31 23:59:59.0제조385473.117196179880.976912냉동지정되지않음<NA>
56고압가스업09_28_05_P3250000200232500140220000720081104<NA>3폐업3폐업20120501<NA><NA><NA><NA><NA><NA>부산광역시 중구 동광동1가 1번지<NA><NA>사)부산데파트 번영회20120501142505I2018-08-31 23:59:59.0제조<NA><NA>냉동지정되지않음<NA>
67고압가스업09_28_05_P3250000197732500140220000120090609<NA>3폐업3폐업20150610<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 8-1번지<NA><NA>피닉스관광호텔20150610165538I2018-08-31 23:59:59.0제조<NA><NA>냉동지정되지않음<NA>
78고압가스업09_28_05_P3250000197932500140210000420100408<NA>3폐업3폐업20100408<NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 89-14번지부산광역시 중구 중앙대로 88 (중앙동4가)<NA>정석기업(주)20100408165327I2018-08-31 23:59:59.0제조385616.660201180406.241288냉동지정되지않음<NA>
89고압가스업09_28_05_P3250000197932500140210000519790502<NA>3폐업3폐업20021204<NA><NA><NA><NA><NA><NA>부산광역시 중구 광복동2가 2-72번지<NA><NA>로얄호텔(주)20131226111756I2018-08-31 23:59:59.0제조<NA><NA>냉동지정되지않음<NA>
910고압가스업09_28_05_P3250000198132500140220001919810813<NA>3폐업3폐업20121009<NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 85-3번지부산광역시 중구 충장대로9번길 22 (중앙동4가)<NA>신도빌딩20141215101920I2018-08-31 23:59:59.0제조385724.319576180589.309934냉동지정되지않음<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)제조구분명사업장부지용도구분명Unnamed: 30
11761177고압가스업09_28_05_P3330000200433300150220000220041201<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1479-1부산광역시 해운대구 해운대로 802 (좌동)<NA>(주)우리시네마20201201145402U2020-12-03 02:40:00.0제조398237.363461187720.511057냉동상업용<NA>
11771178고압가스업09_28_05_P3330000200633300150220000120060209<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1467-4번지부산광역시 해운대구 해운대로 813 (좌동)<NA>이랜드리테일 해운대점20200220123127U2020-02-22 02:40:00.0제조398269.051542187874.778091냉동상업용<NA>
11781179고압가스업09_28_05_P3330000200633300820220000120061228<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1505번지부산광역시 해운대구 센텀3로 20 (우동)<NA>한창어반스테이센텀20180221105612I2018-08-31 23:59:59.0제조394254.000317187484.983032냉동상업기타<NA>
11791180고압가스업09_28_05_P3330000200633300150220000220100721<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1458-1번지부산광역시 해운대구 양운로 97 (좌동)<NA>해운대문화회관20171129163808I2018-08-31 23:59:59.0제조397988.014888187938.979811냉동공공용지등<NA>
11801181고압가스업09_28_05_P3330000202033301510210000520200909<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1405-16 그랜드 조선 부산부산광역시 해운대구 해운대해변로 292, 그랜드 조선 부산 (중동)48099(주)신세계조선호텔20201103141652I2020-11-05 00:23:23.0제조397022.97155186692.064622냉동<NA><NA>
11811182고압가스업09_28_05_P3330000201833301320220000420181101<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1410-3번지 한화리조트부산광역시 해운대구 마린시티3로 52, 한화리조트 (우동)48119한화호텔앤드리조트20181102155625I2018-11-12 18:35:08.0제조395399.726011186020.059335냉동<NA><NA>
11821183고압가스업09_28_05_P3330000201833301320220000720181102<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1058-39 엘시티부산광역시 해운대구 달맞이길 30 (중동, 엘시티)48099(주)호텔롯데 시그니엘부산20200827173852U2020-08-29 02:40:00.0제조397459.363974186676.516704냉동<NA><NA>
11831184고압가스업09_28_05_P3330000201833301320220000920181102<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1058-39 엘시티부산광역시 해운대구 달맞이길 30 (중동, 엘시티)48099엘시티더레지던스 관리위원회20201207172405U2020-12-09 02:40:00.0제조397459.363974186676.516704냉동<NA><NA>
11841185고압가스업09_28_05_P3330000199833301510210000119980409<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1408-5 파라다이스호텔부산부산광역시 해운대구 해운대해변로 296, 파라다이스호텔부산 (중동)48099(주)파라다이스호텔부산20210107181044I2021-01-09 00:23:05.0제조397216.86091186702.956398냉동<NA><NA>
11851186고압가스업09_28_05_P3330000202033301510210000420200909<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1405-16 그랜드 조선 부산부산광역시 해운대구 해운대해변로 292, 그랜드 조선 부산 (중동)48099(주)조선호텔앤리조트 그랜드조선 부산20210126170443I2021-01-28 00:23:13.0제조397022.97155186692.064622냉동<NA><NA>