Overview

Dataset statistics

Number of variables34
Number of observations1445
Missing cells13494
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory413.6 KiB
Average record size in memory293.1 B

Variable types

Numeric10
Categorical12
Unsupported7
Text4
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20220401050100990019

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 is highly imbalanced (55.2%)Imbalance
영업상태명 is highly imbalanced (55.2%)Imbalance
상세영업상태코드 is highly imbalanced (55.2%)Imbalance
상세영업상태명 is highly imbalanced (55.2%)Imbalance
휴업종료일자 is highly imbalanced (98.8%)Imbalance
소재지면적 is highly imbalanced (52.8%)Imbalance
축산업무구분명 is highly imbalanced (99.2%)Imbalance
권리주체일련번호 is highly imbalanced (84.9%)Imbalance
인허가취소일자 has 1445 (100.0%) missing valuesMissing
폐업일자 has 1103 (76.3%) missing valuesMissing
휴업시작일자 has 1439 (99.6%) missing valuesMissing
재개업일자 has 1445 (100.0%) missing valuesMissing
소재지전화 has 569 (39.4%) missing valuesMissing
소재지우편번호 has 1445 (100.0%) missing valuesMissing
소재지전체주소 has 68 (4.7%) missing valuesMissing
도로명전체주소 has 48 (3.3%) missing valuesMissing
도로명우편번호 has 124 (8.6%) missing valuesMissing
업태구분명 has 1445 (100.0%) missing valuesMissing
축산일련번호 has 1445 (100.0%) missing valuesMissing
총종업원수 has 1445 (100.0%) missing valuesMissing
Unnamed: 33 has 1445 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 36.12172595)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 09:23:21.962319
Analysis finished2024-04-16 09:23:22.843731
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1445
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723
Minimum1
Maximum1445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:22.901289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile73.2
Q1362
median723
Q31084
95-th percentile1372.8
Maximum1445
Range1444
Interquartile range (IQR)722

Descriptive statistics

Standard deviation417.27988
Coefficient of variation (CV)0.5771506
Kurtosis-1.2
Mean723
Median Absolute Deviation (MAD)361
Skewness0
Sum1044735
Variance174122.5
MonotonicityStrictly increasing
2024-04-16T18:23:23.024858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
972 1
 
0.1%
970 1
 
0.1%
969 1
 
0.1%
968 1
 
0.1%
967 1
 
0.1%
966 1
 
0.1%
965 1
 
0.1%
964 1
 
0.1%
963 1
 
0.1%
Other values (1435) 1435
99.3%
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 (%)
1445 1
0.1%
1444 1
0.1%
1443 1
0.1%
1442 1
0.1%
1441 1
0.1%
1440 1
0.1%
1439 1
0.1%
1438 1
0.1%
1437 1
0.1%
1436 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
동물판매업
1445 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물판매업 1445
100.0%

Length

2024-04-16T18:23:23.167129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:23.279663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 1445
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
02_03_06_P
1445 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_06_P
2nd row02_03_06_P
3rd row02_03_06_P
4th row02_03_06_P
5th row02_03_06_P

Common Values

ValueCountFrequency (%)
02_03_06_P 1445
100.0%

Length

2024-04-16T18:23:23.365510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:23.441249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_06_p 1445
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3331972.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:23.512427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39333.777
Coefficient of variation (CV)0.011804953
Kurtosis-0.70621293
Mean3331972.3
Median Absolute Deviation (MAD)30000
Skewness-0.014734869
Sum4.8147 × 109
Variance1.547146 × 109
MonotonicityNot monotonic
2024-04-16T18:23:23.616603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 233
16.1%
3290000 157
10.9%
3400000 114
7.9%
3380000 108
7.5%
3310000 106
7.3%
3350000 105
7.3%
3300000 100
6.9%
3320000 100
6.9%
3340000 96
 
6.6%
3360000 77
 
5.3%
Other values (6) 249
17.2%
ValueCountFrequency (%)
3250000 46
 
3.2%
3260000 35
 
2.4%
3270000 22
 
1.5%
3280000 31
 
2.1%
3290000 157
10.9%
3300000 100
6.9%
3310000 106
7.3%
3320000 100
6.9%
3330000 233
16.1%
3340000 96
6.6%
ValueCountFrequency (%)
3400000 114
7.9%
3390000 45
 
3.1%
3380000 108
7.5%
3370000 70
 
4.8%
3360000 77
 
5.3%
3350000 105
7.3%
3340000 96
6.6%
3330000 233
16.1%
3320000 100
6.9%
3310000 106
7.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1445
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3319724 × 1017
Minimum3.25 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:23.782381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.25 × 1017
5-th percentile3.26 × 1017
Q13.3 × 1017
median3.33 × 1017
Q33.36 × 1017
95-th percentile3.4 × 1017
Maximum3.4 × 1017
Range1.5 × 1016
Interquartile range (IQR)6 × 1015

Descriptive statistics

Standard deviation3.9333777 × 1015
Coefficient of variation (CV)0.011804953
Kurtosis-0.70621293
Mean3.3319724 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-0.014734869
Sum1.8546595 × 1018
Variance1.547146 × 1031
MonotonicityNot monotonic
2024-04-16T18:23:23.914419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000003720190001 1
 
0.1%
338000003720180037 1
 
0.1%
338000003720190024 1
 
0.1%
338000003720200010 1
 
0.1%
338000003720210001 1
 
0.1%
338000003720200009 1
 
0.1%
338000003720180034 1
 
0.1%
338000003720180036 1
 
0.1%
338000003720180035 1
 
0.1%
338000003720210002 1
 
0.1%
Other values (1435) 1435
99.3%
ValueCountFrequency (%)
325000003720080001 1
0.1%
325000003720080002 1
0.1%
325000003720080003 1
0.1%
325000003720080004 1
0.1%
325000003720080005 1
0.1%
325000003720080006 1
0.1%
325000003720080007 1
0.1%
325000003720110001 1
0.1%
325000003720120001 1
0.1%
325000003720140001 1
0.1%
ValueCountFrequency (%)
340000003720210001 1
0.1%
340000003720200007 1
0.1%
340000003720200006 1
0.1%
340000003720200005 1
0.1%
340000003720200004 1
0.1%
340000003720200003 1
0.1%
340000003720200002 1
0.1%
340000003720200001 1
0.1%
340000003720190021 1
0.1%
340000003720190020 1
0.1%

인허가일자
Real number (ℝ)

Distinct719
Distinct (%)49.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20170616
Minimum20080205
Maximum20210226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:24.066977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080205
5-th percentile20090130
Q120170414
median20180914
Q320190426
95-th percentile20201023
Maximum20210226
Range130021
Interquartile range (IQR)20012

Descriptive statistics

Standard deviation32458.884
Coefficient of variation (CV)0.0016092163
Kurtosis1.4081103
Mean20170616
Median Absolute Deviation (MAD)9606
Skewness-1.5367263
Sum2.9146541 × 1010
Variance1.0535792 × 109
MonotonicityNot monotonic
2024-04-16T18:23:24.202187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180914 30
 
2.1%
20181001 26
 
1.8%
20180917 19
 
1.3%
20180927 17
 
1.2%
20180919 17
 
1.2%
20180920 14
 
1.0%
20180921 11
 
0.8%
20181022 11
 
0.8%
20180928 11
 
0.8%
20181016 10
 
0.7%
Other values (709) 1279
88.5%
ValueCountFrequency (%)
20080205 2
 
0.1%
20080211 1
 
0.1%
20080218 1
 
0.1%
20080220 1
 
0.1%
20080225 9
0.6%
20080229 3
 
0.2%
20080306 1
 
0.1%
20080312 1
 
0.1%
20080326 1
 
0.1%
20080327 1
 
0.1%
ValueCountFrequency (%)
20210226 2
0.1%
20210225 1
 
0.1%
20210224 2
0.1%
20210223 3
0.2%
20210222 2
0.1%
20210221 1
 
0.1%
20210218 1
 
0.1%
20210210 1
 
0.1%
20210209 2
0.1%
20210208 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1445
Missing (%)100.0%
Memory size12.8 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
1
1073 
3
357 
4
 
8
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1073
74.3%
3 357
 
24.7%
4 8
 
0.6%
2 7
 
0.5%

Length

2024-04-16T18:23:24.326634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:24.429329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1073
74.3%
3 357
 
24.7%
4 8
 
0.6%
2 7
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
영업/정상
1073 
폐업
357 
취소/말소/만료/정지/중지
 
8
휴업
 
7

Length

Max length14
Median length5
Mean length4.2941176
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1073
74.3%
폐업 357
 
24.7%
취소/말소/만료/정지/중지 8
 
0.6%
휴업 7
 
0.5%

Length

2024-04-16T18:23:24.549898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:24.662880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1073
74.3%
폐업 357
 
24.7%
취소/말소/만료/정지/중지 8
 
0.6%
휴업 7
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
0
1073 
2
357 
4
 
8
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1073
74.3%
2 357
 
24.7%
4 8
 
0.6%
1 7
 
0.5%

Length

2024-04-16T18:23:24.772086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:24.891349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1073
74.3%
2 357
 
24.7%
4 8
 
0.6%
1 7
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
정상
1073 
폐업
357 
말소
 
8
휴업
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 1073
74.3%
폐업 357
 
24.7%
말소 8
 
0.6%
휴업 7
 
0.5%

Length

2024-04-16T18:23:25.000798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:25.099977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 1073
74.3%
폐업 357
 
24.7%
말소 8
 
0.6%
휴업 7
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct271
Distinct (%)79.2%
Missing1103
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean20176912
Minimum20080718
Maximum20210228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:25.217391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080718
5-th percentile20110310
Q120161121
median20190220
Q320200328
95-th percentile20210114
Maximum20210228
Range129510
Interquartile range (IQR)39206.75

Descriptive statistics

Standard deviation30793.901
Coefficient of variation (CV)0.0015261949
Kurtosis0.74382487
Mean20176912
Median Absolute Deviation (MAD)10605.5
Skewness-1.2741494
Sum6.9005041 × 109
Variance9.4826431 × 108
MonotonicityNot monotonic
2024-04-16T18:23:25.395384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200825 4
 
0.3%
20201021 4
 
0.3%
20201231 4
 
0.3%
20201201 3
 
0.2%
20200219 3
 
0.2%
20190201 3
 
0.2%
20200106 3
 
0.2%
20201228 3
 
0.2%
20190118 3
 
0.2%
20200130 3
 
0.2%
Other values (261) 309
 
21.4%
(Missing) 1103
76.3%
ValueCountFrequency (%)
20080718 1
0.1%
20080827 1
0.1%
20080926 1
0.1%
20090813 1
0.1%
20100218 1
0.1%
20100303 1
0.1%
20100309 1
0.1%
20100413 1
0.1%
20100510 1
0.1%
20100823 1
0.1%
ValueCountFrequency (%)
20210228 1
0.1%
20210219 1
0.1%
20210215 1
0.1%
20210208 1
0.1%
20210201 1
0.1%
20210131 2
0.1%
20210128 1
0.1%
20210126 2
0.1%
20210125 2
0.1%
20210121 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing1439
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean20174096
Minimum20110318
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:25.508962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110318
5-th percentile20120264
Q120157827
median20190951
Q320200995
95-th percentile20201180
Maximum20201231
Range90913
Interquartile range (IQR)43168

Descriptive statistics

Standard deviation37070.38
Coefficient of variation (CV)0.0018375237
Kurtosis0.59414158
Mean20174096
Median Absolute Deviation (MAD)10177.5
Skewness-1.2611287
Sum1.2104458 × 108
Variance1.3742131 × 109
MonotonicityNot monotonic
2024-04-16T18:23:25.611936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20181001 1
 
0.1%
20200901 1
 
0.1%
20150102 1
 
0.1%
20201231 1
 
0.1%
20201026 1
 
0.1%
20110318 1
 
0.1%
(Missing) 1439
99.6%
ValueCountFrequency (%)
20110318 1
0.1%
20150102 1
0.1%
20181001 1
0.1%
20200901 1
0.1%
20201026 1
0.1%
20201231 1
0.1%
ValueCountFrequency (%)
20201231 1
0.1%
20201026 1
0.1%
20200901 1
0.1%
20181001 1
0.1%
20150102 1
0.1%
20110318 1
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
<NA>
1442 
20190630
 
1
20201231
 
1
20120316
 
1

Length

Max length8
Median length4
Mean length4.0083045
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1442
99.8%
20190630 1
 
0.1%
20201231 1
 
0.1%
20120316 1
 
0.1%

Length

2024-04-16T18:23:25.729556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:26.053542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1442
99.8%
20190630 1
 
0.1%
20201231 1
 
0.1%
20120316 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1445
Missing (%)100.0%
Memory size12.8 KiB

소재지전화
Text

MISSING 

Distinct690
Distinct (%)78.8%
Missing569
Missing (%)39.4%
Memory size11.4 KiB
2024-04-16T18:23:26.241852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.19863
Min length7

Characters and Unicode

Total characters9810
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique550 ?
Unique (%)62.8%

Sample

1st row0514064948
2nd row07040642201
3rd row0514694947
4th row0514633009
5th row0514633009
ValueCountFrequency (%)
051-727-3342 6
 
0.7%
051-334-0070 4
 
0.5%
051-544-0204 4
 
0.5%
051-702-6754 4
 
0.5%
051-515-6964 4
 
0.5%
051-728-8785 4
 
0.5%
051-710-2002 4
 
0.5%
051-526-0901 3
 
0.3%
051-710-7110 3
 
0.3%
051-604-7268 3
 
0.3%
Other values (682) 839
95.6%
2024-04-16T18:23:26.575711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1507
15.4%
0 1431
14.6%
- 1395
14.2%
1 1322
13.5%
7 791
8.1%
2 736
7.5%
8 623
6.4%
4 541
 
5.5%
6 536
 
5.5%
3 509
 
5.2%
Other values (5) 419
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8406
85.7%
Dash Punctuation 1395
 
14.2%
Close Punctuation 5
 
0.1%
Space Separator 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1507
17.9%
0 1431
17.0%
1 1322
15.7%
7 791
9.4%
2 736
8.8%
8 623
7.4%
4 541
 
6.4%
6 536
 
6.4%
3 509
 
6.1%
9 410
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1507
15.4%
0 1431
14.6%
- 1395
14.2%
1 1322
13.5%
7 791
8.1%
2 736
7.5%
8 623
6.4%
4 541
 
5.5%
6 536
 
5.5%
3 509
 
5.2%
Other values (5) 419
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1507
15.4%
0 1431
14.6%
- 1395
14.2%
1 1322
13.5%
7 791
8.1%
2 736
7.5%
8 623
6.4%
4 541
 
5.5%
6 536
 
5.5%
3 509
 
5.2%
Other values (5) 419
 
4.3%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
0
1299 
<NA>
146 

Length

Max length4
Median length1
Mean length1.3031142
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1299
89.9%
<NA> 146
 
10.1%

Length

2024-04-16T18:23:26.718333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:26.823040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1299
89.9%
na 146
 
10.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1445
Missing (%)100.0%
Memory size12.8 KiB

소재지전체주소
Text

MISSING 

Distinct1043
Distinct (%)75.7%
Missing68
Missing (%)4.7%
Memory size11.4 KiB
2024-04-16T18:23:27.088680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length24.174292
Min length12

Characters and Unicode

Total characters33288
Distinct characters338
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

Unique793 ?
Unique (%)57.6%

Sample

1st row부산광역시 중구 남포동3가 2-2번지
2nd row부산광역시 중구 동광동5가 3-209번지
3rd row부산광역시 중구 영주동 62-53번지
4th row부산광역시 중구 동광동5가 3-209번지
5th row부산광역시 중구 영주동 58-16번지
ValueCountFrequency (%)
부산광역시 1377
 
21.7%
해운대구 216
 
3.4%
부산진구 136
 
2.1%
기장군 113
 
1.8%
금정구 103
 
1.6%
수영구 101
 
1.6%
동래구 101
 
1.6%
남구 99
 
1.6%
북구 97
 
1.5%
사하구 95
 
1.5%
Other values (1504) 3913
61.6%
2024-04-16T18:23:27.531132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4982
 
15.0%
산 1605
 
4.8%
부 1584
 
4.8%
동 1516
 
4.6%
광 1437
 
4.3%
1 1428
 
4.3%
시 1412
 
4.2%
역 1379
 
4.1%
구 1311
 
3.9%
지 1207
 
3.6%
Other values (328) 15427
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20443
61.4%
Decimal Number 6610
 
19.9%
Space Separator 4982
 
15.0%
Dash Punctuation 1181
 
3.5%
Other Punctuation 28
 
0.1%
Uppercase Letter 27
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1605
 
7.9%
부 1584
 
7.7%
동 1516
 
7.4%
광 1437
 
7.0%
시 1412
 
6.9%
역 1379
 
6.7%
구 1311
 
6.4%
지 1207
 
5.9%
번 1120
 
5.5%
대 389
 
1.9%
Other values (299) 7483
36.6%
Decimal Number
ValueCountFrequency (%)
1 1428
21.6%
2 943
14.3%
3 745
11.3%
4 621
9.4%
5 570
 
8.6%
0 539
 
8.2%
7 471
 
7.1%
6 463
 
7.0%
8 461
 
7.0%
9 369
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 8
29.6%
E 3
 
11.1%
S 2
 
7.4%
D 2
 
7.4%
L 1
 
3.7%
G 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 23
82.1%
/ 4
 
14.3%
· 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 5
71.4%
] 2
 
28.6%
Open Punctuation
ValueCountFrequency (%)
( 5
71.4%
[ 2
 
28.6%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
4982
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1181
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20443
61.4%
Common 12815
38.5%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1605
 
7.9%
부 1584
 
7.7%
동 1516
 
7.4%
광 1437
 
7.0%
시 1412
 
6.9%
역 1379
 
6.7%
구 1311
 
6.4%
지 1207
 
5.9%
번 1120
 
5.5%
대 389
 
1.9%
Other values (299) 7483
36.6%
Common
ValueCountFrequency (%)
4982
38.9%
1 1428
 
11.1%
- 1181
 
9.2%
2 943
 
7.4%
3 745
 
5.8%
4 621
 
4.8%
5 570
 
4.4%
0 539
 
4.2%
7 471
 
3.7%
6 463
 
3.6%
Other values (9) 872
 
6.8%
Latin
ValueCountFrequency (%)
B 10
33.3%
A 8
26.7%
E 3
 
10.0%
S 2
 
6.7%
D 2
 
6.7%
b 1
 
3.3%
L 1
 
3.3%
e 1
 
3.3%
G 1
 
3.3%
Ⅱ 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20443
61.4%
ASCII 12843
38.6%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4982
38.8%
1 1428
 
11.1%
- 1181
 
9.2%
2 943
 
7.3%
3 745
 
5.8%
4 621
 
4.8%
5 570
 
4.4%
0 539
 
4.2%
7 471
 
3.7%
6 463
 
3.6%
Other values (17) 900
 
7.0%
Hangul
ValueCountFrequency (%)
산 1605
 
7.9%
부 1584
 
7.7%
동 1516
 
7.4%
광 1437
 
7.0%
시 1412
 
6.9%
역 1379
 
6.7%
구 1311
 
6.4%
지 1207
 
5.9%
번 1120
 
5.5%
대 389
 
1.9%
Other values (299) 7483
36.6%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1083
Distinct (%)77.5%
Missing48
Missing (%)3.3%
Memory size11.4 KiB
2024-04-16T18:23:27.814928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length30.242663
Min length10

Characters and Unicode

Total characters42249
Distinct characters378
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique835 ?
Unique (%)59.8%

Sample

1st row부산광역시 중구 비프광장로 33, 7층 (남포동3가)
2nd row부산광역시 중구 중구로 140, 2층 (동광동5가)
3rd row부산광역시 중구 초량상로5번길 8, 2층 (영주동)
4th row부산광역시 중구 중구로 140, 3층 (동광동5가)
5th row부산광역시 중구 대영로 217 (영주동)
ValueCountFrequency (%)
부산광역시 1397
 
16.5%
1층 236
 
2.8%
해운대구 218
 
2.6%
부산진구 155
 
1.8%
2층 148
 
1.7%
기장군 113
 
1.3%
수영구 109
 
1.3%
남구 103
 
1.2%
금정구 103
 
1.2%
북구 100
 
1.2%
Other values (1588) 5785
68.3%
2024-04-16T18:23:28.275445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7070
 
16.7%
동 1729
 
4.1%
산 1673
 
4.0%
부 1622
 
3.8%
1 1553
 
3.7%
광 1510
 
3.6%
시 1488
 
3.5%
역 1399
 
3.3%
구 1366
 
3.2%
로 1364
 
3.2%
Other values (368) 21475
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24942
59.0%
Space Separator 7070
 
16.7%
Decimal Number 6363
 
15.1%
Open Punctuation 1298
 
3.1%
Close Punctuation 1298
 
3.1%
Other Punctuation 971
 
2.3%
Dash Punctuation 243
 
0.6%
Uppercase Letter 48
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1729
 
6.9%
산 1673
 
6.7%
부 1622
 
6.5%
광 1510
 
6.1%
시 1488
 
6.0%
역 1399
 
5.6%
구 1366
 
5.5%
로 1364
 
5.5%
대 766
 
3.1%
층 533
 
2.1%
Other values (338) 11492
46.1%
Decimal Number
ValueCountFrequency (%)
1 1553
24.4%
2 1010
15.9%
3 729
11.5%
0 561
 
8.8%
4 548
 
8.6%
5 466
 
7.3%
6 462
 
7.3%
8 391
 
6.1%
7 359
 
5.6%
9 284
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 22
45.8%
A 13
27.1%
S 4
 
8.3%
D 4
 
8.3%
E 3
 
6.2%
I 1
 
2.1%
P 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 965
99.4%
/ 5
 
0.5%
· 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1296
99.8%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1296
99.8%
] 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
b 2
66.7%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
7070
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 243
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24942
59.0%
Common 17255
40.8%
Latin 52
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1729
 
6.9%
산 1673
 
6.7%
부 1622
 
6.5%
광 1510
 
6.1%
시 1488
 
6.0%
역 1399
 
5.6%
구 1366
 
5.5%
로 1364
 
5.5%
대 766
 
3.1%
층 533
 
2.1%
Other values (338) 11492
46.1%
Common
ValueCountFrequency (%)
7070
41.0%
1 1553
 
9.0%
( 1296
 
7.5%
) 1296
 
7.5%
2 1010
 
5.9%
, 965
 
5.6%
3 729
 
4.2%
0 561
 
3.3%
4 548
 
3.2%
5 466
 
2.7%
Other values (10) 1761
 
10.2%
Latin
ValueCountFrequency (%)
B 22
42.3%
A 13
25.0%
S 4
 
7.7%
D 4
 
7.7%
E 3
 
5.8%
b 2
 
3.8%
I 1
 
1.9%
Ⅱ 1
 
1.9%
P 1
 
1.9%
c 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24942
59.0%
ASCII 17305
41.0%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7070
40.9%
1 1553
 
9.0%
( 1296
 
7.5%
) 1296
 
7.5%
2 1010
 
5.8%
, 965
 
5.6%
3 729
 
4.2%
0 561
 
3.2%
4 548
 
3.2%
5 466
 
2.7%
Other values (18) 1811
 
10.5%
Hangul
ValueCountFrequency (%)
동 1729
 
6.9%
산 1673
 
6.7%
부 1622
 
6.5%
광 1510
 
6.1%
시 1488
 
6.0%
역 1399
 
5.6%
구 1366
 
5.5%
로 1364
 
5.5%
대 766
 
3.1%
층 533
 
2.1%
Other values (338) 11492
46.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct580
Distinct (%)43.9%
Missing124
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean48068.936
Minimum46002
Maximum612811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:28.399820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46055
Q146726
median47830
Q348298
95-th percentile49337
Maximum612811
Range566809
Interquartile range (IQR)1572

Descriptive statistics

Standard deviation15581.905
Coefficient of variation (CV)0.32415748
Kurtosis1310.1557
Mean48068.936
Median Absolute Deviation (MAD)696
Skewness36.121726
Sum63499065
Variance2.4279577 × 108
MonotonicityNot monotonic
2024-04-16T18:23:28.516102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 35
 
2.4%
47214 25
 
1.7%
47215 15
 
1.0%
48111 12
 
0.8%
46759 10
 
0.7%
46015 9
 
0.6%
48096 9
 
0.6%
46283 9
 
0.6%
48082 8
 
0.6%
46017 8
 
0.6%
Other values (570) 1181
81.7%
(Missing) 124
 
8.6%
ValueCountFrequency (%)
46002 2
 
0.1%
46007 3
 
0.2%
46008 7
0.5%
46010 4
0.3%
46014 1
 
0.1%
46015 9
0.6%
46016 2
 
0.1%
46017 8
0.6%
46019 3
 
0.2%
46023 7
0.5%
ValueCountFrequency (%)
612811 1
 
0.1%
49524 3
0.2%
49523 4
0.3%
49521 1
 
0.1%
49518 1
 
0.1%
49515 1
 
0.1%
49514 3
0.2%
49506 1
 
0.1%
49505 1
 
0.1%
49503 2
0.1%

사업장명
Text

Distinct1054
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-04-16T18:23:28.772691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length6.3951557
Min length2

Characters and Unicode

Total characters9241
Distinct characters568
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique792 ?
Unique (%)54.8%

Sample

1st row라라랜드
2nd row메리몰펫샵
3rd row봉구애견미용샵
4th row메리몰펫샵
5th row왈왈
ValueCountFrequency (%)
동물병원 30
 
1.5%
강아지 17
 
0.9%
pet 14
 
0.7%
펫 14
 
0.7%
애견샵 12
 
0.6%
야옹아 11
 
0.6%
애견 11
 
0.6%
피터펫카페 10
 
0.5%
우리집 10
 
0.5%
애견카페 9
 
0.5%
Other values (1176) 1804
92.9%
2024-04-16T18:23:29.167289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
497
 
5.4%
견 293
 
3.2%
애 292
 
3.2%
동 256
 
2.8%
펫 238
 
2.6%
이 233
 
2.5%
물 233
 
2.5%
원 216
 
2.3%
스 205
 
2.2%
병 193
 
2.1%
Other values (558) 6585
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7838
84.8%
Space Separator 497
 
5.4%
Lowercase Letter 324
 
3.5%
Uppercase Letter 257
 
2.8%
Decimal Number 93
 
1.0%
Open Punctuation 88
 
1.0%
Close Punctuation 88
 
1.0%
Other Punctuation 37
 
0.4%
Dash Punctuation 9
 
0.1%
Other Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
견 293
 
3.7%
애 292
 
3.7%
동 256
 
3.3%
펫 238
 
3.0%
이 233
 
3.0%
물 233
 
3.0%
원 216
 
2.8%
스 205
 
2.6%
병 193
 
2.5%
아 181
 
2.3%
Other values (486) 5498
70.1%
Lowercase Letter
ValueCountFrequency (%)
o 47
14.5%
e 38
11.7%
t 35
10.8%
a 30
9.3%
g 21
 
6.5%
s 20
 
6.2%
r 16
 
4.9%
n 15
 
4.6%
i 15
 
4.6%
p 15
 
4.6%
Other values (12) 72
22.2%
Uppercase Letter
ValueCountFrequency (%)
O 32
12.5%
P 22
 
8.6%
L 21
 
8.2%
S 20
 
7.8%
T 20
 
7.8%
D 20
 
7.8%
E 15
 
5.8%
A 15
 
5.8%
B 14
 
5.4%
N 13
 
5.1%
Other values (12) 65
25.3%
Other Punctuation
ValueCountFrequency (%)
& 10
27.0%
' 5
13.5%
. 5
13.5%
＆ 3
 
8.1%
, 3
 
8.1%
# 3
 
8.1%
@ 2
 
5.4%
· 2
 
5.4%
! 2
 
5.4%
; 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 19
20.4%
2 18
19.4%
4 16
17.2%
8 12
12.9%
6 9
9.7%
3 9
9.7%
5 6
 
6.5%
9 3
 
3.2%
7 1
 
1.1%
Other Symbol
ValueCountFrequency (%)
℃ 4
66.7%
㈜ 2
33.3%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
× 1
 
25.0%
Space Separator
ValueCountFrequency (%)
497
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7840
84.8%
Common 820
 
8.9%
Latin 581
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
견 293
 
3.7%
애 292
 
3.7%
동 256
 
3.3%
펫 238
 
3.0%
이 233
 
3.0%
물 233
 
3.0%
원 216
 
2.8%
스 205
 
2.6%
병 193
 
2.5%
아 181
 
2.3%
Other values (487) 5500
70.2%
Latin
ValueCountFrequency (%)
o 47
 
8.1%
e 38
 
6.5%
t 35
 
6.0%
O 32
 
5.5%
a 30
 
5.2%
P 22
 
3.8%
g 21
 
3.6%
L 21
 
3.6%
s 20
 
3.4%
S 20
 
3.4%
Other values (34) 295
50.8%
Common
ValueCountFrequency (%)
497
60.6%
( 88
 
10.7%
) 88
 
10.7%
1 19
 
2.3%
2 18
 
2.2%
4 16
 
2.0%
8 12
 
1.5%
& 10
 
1.2%
6 9
 
1.1%
3 9
 
1.1%
Other values (17) 54
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7838
84.8%
ASCII 1391
 
15.1%
None 8
 
0.1%
Letterlike Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
497
35.7%
( 88
 
6.3%
) 88
 
6.3%
o 47
 
3.4%
e 38
 
2.7%
t 35
 
2.5%
O 32
 
2.3%
a 30
 
2.2%
P 22
 
1.6%
g 21
 
1.5%
Other values (57) 493
35.4%
Hangul
ValueCountFrequency (%)
견 293
 
3.7%
애 292
 
3.7%
동 256
 
3.3%
펫 238
 
3.0%
이 233
 
3.0%
물 233
 
3.0%
원 216
 
2.8%
스 205
 
2.6%
병 193
 
2.5%
아 181
 
2.3%
Other values (486) 5498
70.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
None
ValueCountFrequency (%)
＆ 3
37.5%
· 2
25.0%
㈜ 2
25.0%
× 1
 
12.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1445
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0183757 × 1013
Minimum2.0100528 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:29.293934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100528 × 1013
5-th percentile2.0131109 × 1013
Q12.018073 × 1013
median2.0190104 × 1013
Q32.0200316 × 1013
95-th percentile2.0210119 × 1013
Maximum2.0210226 × 1013
Range1.0969801 × 1011
Interquartile range (IQR)1.9586068 × 1010

Descriptive statistics

Standard deviation2.1808164 × 1010
Coefficient of variation (CV)0.0010804809
Kurtosis4.323384
Mean2.0183757 × 1013
Median Absolute Deviation (MAD)9.5749353 × 109
Skewness-1.9525557
Sum2.9165529 × 1016
Variance4.7559603 × 1020
MonotonicityNot monotonic
2024-04-16T18:23:29.413957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190222112259 1
 
0.1%
20190906154439 1
 
0.1%
20201104114844 1
 
0.1%
20201218154425 1
 
0.1%
20210104091422 1
 
0.1%
20201210102942 1
 
0.1%
20181011170801 1
 
0.1%
20181015092124 1
 
0.1%
20181015090338 1
 
0.1%
20210209173335 1
 
0.1%
Other values (1435) 1435
99.3%
ValueCountFrequency (%)
20100528160921 1
0.1%
20100528163253 1
0.1%
20100528163837 1
0.1%
20100528165403 1
0.1%
20100608135810 1
0.1%
20100608140719 1
0.1%
20100608154235 1
0.1%
20100608154608 1
0.1%
20100608155059 1
0.1%
20100608155348 1
0.1%
ValueCountFrequency (%)
20210226171019 1
0.1%
20210226154604 1
0.1%
20210226153901 1
0.1%
20210226133015 1
0.1%
20210225092653 1
0.1%
20210224194446 1
0.1%
20210224095217 1
0.1%
20210224095144 1
0.1%
20210224094442 1
0.1%
20210223164956 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
I
883 
U
562 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 883
61.1%
U 562
38.9%

Length

2024-04-16T18:23:29.542531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:29.638105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 883
61.1%
u 562
38.9%

데이터갱신일자
Date

Distinct497
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-16T18:23:29.730731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T18:23:29.877957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1445
Missing (%)100.0%
Memory size12.8 KiB

좌표정보(x)
Real number (ℝ)

Distinct953
Distinct (%)66.6%
Missing14
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean389119.77
Minimum365516.72
Maximum406558.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:30.045171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365516.72
5-th percentile376061.37
Q1384764.56
median389708.16
Q3392950.95
95-th percentile400049.5
Maximum406558.97
Range41042.243
Interquartile range (IQR)8186.3923

Descriptive statistics

Standard deviation6777.0603
Coefficient of variation (CV)0.017416387
Kurtosis0.26699745
Mean389119.77
Median Absolute Deviation (MAD)4125.9135
Skewness-0.33149218
Sum5.5683039 × 108
Variance45928547
MonotonicityNot monotonic
2024-04-16T18:23:30.167920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388221.050748246 11
 
0.8%
374846.363500608 6
 
0.4%
384373.477308409 6
 
0.4%
391911.842586275 6
 
0.4%
397240.398398374 5
 
0.3%
385590.814676765 5
 
0.3%
397433.66187173 5
 
0.3%
397967.170796858 5
 
0.3%
388297.793971458 5
 
0.3%
397397.83276594 5
 
0.3%
Other values (943) 1372
94.9%
(Missing) 14
 
1.0%
ValueCountFrequency (%)
365516.723543485 3
0.2%
366865.442803494 1
 
0.1%
367397.014357092 1
 
0.1%
367451.087635496 1
 
0.1%
368199.817420698 1
 
0.1%
370489.903645257 1
 
0.1%
370724.725584034 1
 
0.1%
371213.327875337 3
0.2%
371288.548640007 3
0.2%
371501.016364512 1
 
0.1%
ValueCountFrequency (%)
406558.966393631 1
0.1%
406497.129490434 1
0.1%
405861.100252195 1
0.1%
405160.717764399 1
0.1%
405110.370117145 1
0.1%
405084.432091563 1
0.1%
404514.346413795 1
0.1%
404107.780863561 1
0.1%
403888.508385326 2
0.1%
403672.960726086 1
0.1%

좌표정보(y)
Real number (ℝ)

Distinct953
Distinct (%)66.6%
Missing14
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean187763.63
Minimum171651.68
Maximum210740.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-16T18:23:30.298271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171651.68
5-th percentile177976.81
Q1183793.97
median187536.42
Q3191268.09
95-th percentile198301.63
Maximum210740.39
Range39088.702
Interquartile range (IQR)7474.1197

Descriptive statistics

Standard deviation6461.7741
Coefficient of variation (CV)0.034414408
Kurtosis0.74919309
Mean187763.63
Median Absolute Deviation (MAD)3740.821
Skewness0.56703139
Sum2.6868975 × 108
Variance41754525
MonotonicityNot monotonic
2024-04-16T18:23:30.429385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187415.014507603 11
 
0.8%
179403.949006528 6
 
0.4%
179352.436504691 6
 
0.4%
184100.968518423 6
 
0.4%
206113.876185521 5
 
0.3%
179553.867031936 5
 
0.3%
187207.142025591 5
 
0.3%
204592.491613115 5
 
0.3%
187623.946709662 5
 
0.3%
187354.835259309 5
 
0.3%
Other values (943) 1372
94.9%
(Missing) 14
 
1.0%
ValueCountFrequency (%)
171651.683726624 3
0.2%
173895.655729558 1
 
0.1%
174031.935803657 1
 
0.1%
174092.622479385 1
 
0.1%
174201.248166774 2
0.1%
174822.951508413 2
0.1%
174910.857552639 1
 
0.1%
175087.296427656 2
0.1%
175157.866323699 3
0.2%
175274.144961403 1
 
0.1%
ValueCountFrequency (%)
210740.385879154 1
 
0.1%
210637.898763651 1
 
0.1%
210351.985671873 1
 
0.1%
207739.703631644 1
 
0.1%
206838.109242643 1
 
0.1%
206716.845985028 1
 
0.1%
206278.813701767 2
 
0.1%
206187.736109314 1
 
0.1%
206184.609573703 2
 
0.1%
206113.876185521 5
0.3%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
동물판매업
1444 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.999308
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
동물판매업 1444
99.9%
<NA> 1
 
0.1%

Length

2024-04-16T18:23:30.556893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:30.649449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 1444
99.9%
na 1
 
0.1%

축산물가공업구분명
Categorical

Distinct21
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
미용
469 
판매
427 
위탁관리
209 
위탁관리 미용
116 
생산
49 
Other values (16)
175 

Length

Max length13
Median length2
Mean length3.0705882
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row전시
2nd row미용
3rd row위탁관리
4th row위탁관리
5th row위탁관리

Common Values

ValueCountFrequency (%)
미용 469
32.5%
판매 427
29.6%
위탁관리 209
14.5%
위탁관리 미용 116
 
8.0%
생산 49
 
3.4%
전시 44
 
3.0%
운송 39
 
2.7%
판매 위탁관리 미용 37
 
2.6%
판매 미용 14
 
1.0%
전시 위탁관리 미용 9
 
0.6%
Other values (11) 32
 
2.2%

Length

2024-04-16T18:23:30.743977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용 649
38.2%
판매 491
28.9%
위탁관리 390
22.9%
전시 61
 
3.6%
생산 49
 
2.9%
운송 47
 
2.8%
수입 12
 
0.7%
na 1
 
0.1%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1445
Missing (%)100.0%
Memory size12.8 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
000
1371 
L00
 
72
F00
 
1
<NA>
 
1

Length

Max length4
Median length3
Mean length3.000692
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowL00
2nd row000
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 1371
94.9%
L00 72
 
5.0%
F00 1
 
0.1%
<NA> 1
 
0.1%

Length

2024-04-16T18:23:30.856130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:30.945681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 1371
94.9%
l00 72
 
5.0%
f00 1
 
0.1%
na 1
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1445
Missing (%)100.0%
Memory size12.8 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1445
Missing (%)100.0%
Memory size12.8 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01동물판매업02_03_06_P325000032500000372019000120190222<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>부산광역시 중구 남포동3가 2-2번지부산광역시 중구 비프광장로 33, 7층 (남포동3가)48953라라랜드20190222112259I2019-02-24 02:21:30.0<NA>384915.689642179649.862332동물판매업전시<NA>L00<NA><NA>
12동물판매업02_03_06_P325000032500000372019000220190425<NA>1영업/정상0정상<NA><NA><NA><NA>05140649480<NA>부산광역시 중구 동광동5가 3-209번지부산광역시 중구 중구로 140, 2층 (동광동5가)48925메리몰펫샵20190425141959I2019-04-27 02:20:31.0<NA>385425.302681180656.089366동물판매업미용<NA>000<NA><NA>
23동물판매업02_03_06_P325000032500000372019000320190624<NA>1영업/정상0정상<NA><NA><NA><NA>070406422010<NA>부산광역시 중구 영주동 62-53번지부산광역시 중구 초량상로5번길 8, 2층 (영주동)48910봉구애견미용샵20190624093035I2019-06-26 02:21:21.0<NA>385433.153589181201.167083동물판매업위탁관리<NA>000<NA><NA>
34동물판매업02_03_06_P325000032500000372019000420190715<NA>1영업/정상0정상<NA><NA><NA><NA>05146949470<NA>부산광역시 중구 동광동5가 3-209번지부산광역시 중구 중구로 140, 3층 (동광동5가)48925메리몰펫샵20190814160027U2019-08-16 02:40:00.0<NA>385425.302681180656.089366동물판매업위탁관리<NA>000<NA><NA>
45동물판매업02_03_06_P325000032500000372019000620190823<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>부산광역시 중구 영주동 58-16번지부산광역시 중구 대영로 217 (영주동)48910왈왈20190823152900I2019-08-25 02:22:10.0<NA>385424.083436181145.082617동물판매업위탁관리<NA>000<NA><NA>
56동물판매업02_03_06_P325000032500000372019000720190823<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>부산광역시 중구 영주동 58-16번지부산광역시 중구 대영로 217 (영주동)48910왈왈20190823161232I2019-08-25 02:22:10.0<NA>385424.083436181145.082617동물판매업미용<NA>000<NA><NA>
67동물판매업02_03_06_P325000032500000372019000820191224<NA>1영업/정상0정상<NA><NA><NA><NA>05146330090<NA>부산광역시 중구 영주동 58-20번지부산광역시 중구 대영로 225, 2층 (영주동)48911도그스토리20191224100733I2019-12-26 00:23:25.0<NA>385487.638466181143.144733동물판매업미용<NA>000<NA><NA>
78동물판매업02_03_06_P325000032500000372019000920191224<NA>1영업/정상0정상<NA><NA><NA><NA>05146330090<NA>부산광역시 중구 영주동 58-20번지부산광역시 중구 대영로 225, 2층 (영주동)48911도그스토리20191224101943I2019-12-26 00:23:25.0<NA>385487.638466181143.144733동물판매업위탁관리<NA>000<NA><NA>
89동물판매업02_03_06_P325000032500000372008000420080805<NA>1영업/정상0정상<NA><NA><NA><NA>242-45880<NA>부산광역시 중구 남포동5가 47-3번지부산광역시 중구 구덕로 65 (남포동5가)48983삼성애견사20190220103316U2019-02-22 02:40:00.0<NA>384927.15866179502.459503동물판매업판매<NA>000<NA><NA>
910동물판매업02_03_06_P325000032500000372008000520080805<NA>1영업/정상0정상<NA><NA><NA><NA>246-24360<NA>부산광역시 중구 남포동5가 48-1번지부산광역시 중구 구덕로 61 (남포동5가)48983뽀뽀애견20190220103333U2019-02-22 02:40:00.0<NA>384949.343184179509.442788동물판매업판매<NA>000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
14351436동물판매업02_03_06_P333000033300000372020000520200312<NA>3폐업2폐업20201207<NA><NA><NA><NA>0<NA>부산광역시 해운대구 중동 1809 해운대힐스테이트위브부산광역시 해운대구 좌동순환로433번길 30-1, 해운대힐스테이트위브 3층 312호 (중동)48114힐스독20201207115414U2020-12-09 02:40:00.0<NA>398546.572306186991.922046동물판매업위탁관리<NA>000<NA><NA>
14361437동물판매업02_03_06_P333000033300000372020000220200224<NA>3폐업2폐업20201103<NA><NA><NA>051-518-65560<NA>부산광역시 해운대구 중동 196-7 16통3반부산광역시 해운대구 좌동로 56, 1층 (중동)48102비너스펫(venus pet)20201103154101U2020-11-05 02:40:00.0<NA>397840.701696187816.437083동물판매업판매<NA>000<NA><NA>
14371438동물판매업02_03_06_P333000033300000372018003120180803<NA>3폐업2폐업20200825<NA><NA><NA>051-746-82590<NA>부산광역시 해운대구 우동 140-17 서울마크사부산광역시 해운대구 우동3로 10, 서울마크사 2층 (우동)48084오구오구퍼피20201028190201U2020-10-30 02:40:00.0<NA>396971.873603187436.069373동물판매업위탁관리<NA>000<NA><NA>
14381439동물판매업02_03_06_P333000033300000372018003920180904<NA>3폐업2폐업20200825<NA><NA><NA>051-746-82590<NA>부산광역시 해운대구 우동 140-17 서울마크사부산광역시 해운대구 우동3로 10, 서울마크사 2층 (우동)48084오구오구퍼피20201028190230U2020-10-30 02:40:00.0<NA>396971.873603187436.069373동물판매업운송<NA>000<NA><NA>
14391440동물판매업02_03_06_P333000033300000372018004020180904<NA>3폐업2폐업20200825<NA><NA><NA>051-746-82590<NA>부산광역시 해운대구 우동 140-17 서울마크사부산광역시 해운대구 우동3로 10, 서울마크사 2층 (우동)48084오구오구퍼피20200904111401U2020-09-06 02:40:00.0<NA>396971.873603187436.069373동물판매업미용<NA>000<NA><NA>
14401441동물판매업02_03_06_P333000033300000372018004120180904<NA>3폐업2폐업20190630<NA><NA><NA>051-702-32470<NA>부산광역시 해운대구 좌동 1451-1번지 락희상가부산광역시 해운대구 청사포로 16, 락희상가 405호 (좌동)48113고고독20190703092541U2019-07-05 02:40:00.0<NA>398884.821803187415.705382동물판매업미용<NA>000<NA><NA>
14411442동물판매업02_03_06_P333000033300000372018004620180917<NA>3폐업2폐업20190131<NA><NA><NA>051-701-12510<NA>부산광역시 해운대구 좌동 1479-3번지 세종월드프라자 A동 209호부산광역시 해운대구 해운대로 814, 세종월드프라자 A동 209호 (좌동)48111더 돌봄(THE DOLBOM)20190131162508U2019-02-05 02:40:00.0<NA>398330.51653187771.511374동물판매업위탁관리<NA>000<NA><NA>
14421443동물판매업02_03_06_P333000033300000372018005520180927<NA>3폐업2폐업20181015<NA><NA><NA>051-544-02040<NA>부산광역시 해운대구 반송동 275-131번지 현우재활용센타부산광역시 해운대구 아랫반송로21번길 140, 1층 (반송동)48014반송애견샵20181015152737U2018-10-15 23:59:59.0<NA>395545.589022194110.168892동물판매업판매<NA>000<NA><NA>
14431444동물판매업02_03_06_P333000033300000372018005620180927<NA>3폐업2폐업20201021<NA><NA><NA>051-949-15410<NA>부산광역시 해운대구 재송동 1083-16부산광역시 해운대구 재송1로 71, 1층 (재송동)48054도그타운20201028185749U2020-10-30 02:40:00.0<NA>393458.230914189671.53376동물판매업미용<NA>000<NA><NA>
14441445동물판매업02_03_06_P333000033300000372018005720180927<NA>3폐업2폐업20201021<NA><NA><NA>051-949-15410<NA>부산광역시 해운대구 재송동 1083-16부산광역시 해운대구 재송1로 71, 1층 (재송동)48054도그타운20201028185841U2020-10-30 02:40:00.0<NA>393458.230914189671.53376동물판매업위탁관리<NA>000<NA><NA>