Overview

Dataset statistics

Number of variables33
Number of observations1455
Missing cells12134
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory403.7 KiB
Average record size in memory284.1 B

Variable types

Numeric10
Categorical12
Unsupported6
Text4
DateTime1

Dataset

Description2021-05-01
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 (55.1%)Imbalance
영업상태명 is highly imbalanced (55.1%)Imbalance
상세영업상태코드 is highly imbalanced (55.1%)Imbalance
상세영업상태명 is highly imbalanced (55.1%)Imbalance
휴업종료일자 is highly imbalanced (98.8%)Imbalance
소재지면적 is highly imbalanced (53.0%)Imbalance
업무구분명 is highly imbalanced (99.2%)Imbalance
권리주체일련번호 is highly imbalanced (85.1%)Imbalance
인허가취소일자 has 1455 (100.0%) missing valuesMissing
폐업일자 has 1108 (76.2%) missing valuesMissing
휴업시작일자 has 1449 (99.6%) missing valuesMissing
재개업일자 has 1455 (100.0%) missing valuesMissing
소재지전화 has 577 (39.7%) missing valuesMissing
소재지우편번호 has 1455 (100.0%) missing valuesMissing
소재지전체주소 has 68 (4.7%) missing valuesMissing
도로명전체주소 has 48 (3.3%) missing valuesMissing
도로명우편번호 has 124 (8.5%) missing valuesMissing
업태구분명 has 1455 (100.0%) missing valuesMissing
좌표정보(x) has 15 (1.0%) missing valuesMissing
좌표정보(y) has 15 (1.0%) missing valuesMissing
총종업원수 has 1455 (100.0%) missing valuesMissing
Unnamed: 32 has 1455 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 36.25642806)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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 09:23:11.771855
Analysis finished2024-04-16 09:23:12.569514
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1455
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean728
Minimum1
Maximum1455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:12.623133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile73.7
Q1364.5
median728
Q31091.5
95-th percentile1382.3
Maximum1455
Range1454
Interquartile range (IQR)727

Descriptive statistics

Standard deviation420.16663
Coefficient of variation (CV)0.57715197
Kurtosis-1.2
Mean728
Median Absolute Deviation (MAD)364
Skewness0
Sum1059240
Variance176540
MonotonicityStrictly increasing
2024-04-16T18:23:12.742769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
979 1
 
0.1%
977 1
 
0.1%
976 1
 
0.1%
975 1
 
0.1%
974 1
 
0.1%
973 1
 
0.1%
972 1
 
0.1%
971 1
 
0.1%
970 1
 
0.1%
Other values (1445) 1445
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 (%)
1455 1
0.1%
1454 1
0.1%
1453 1
0.1%
1452 1
0.1%
1451 1
0.1%
1450 1
0.1%
1449 1
0.1%
1448 1
0.1%
1447 1
0.1%
1446 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
동물판매업
1455 

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 1455
100.0%

Length

2024-04-16T18:23:13.084396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:13.161393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 1455
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
02_03_06_P
1455 

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 1455
100.0%

Length

2024-04-16T18:23:13.256184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:13.337016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_06_p 1455
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3332144.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:13.407564image/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 deviation39431.218
Coefficient of variation (CV)0.011833587
Kurtosis-0.71676833
Mean3332144.3
Median Absolute Deviation (MAD)30000
Skewness-0.012822605
Sum4.84827 × 109
Variance1.554821 × 109
MonotonicityNot monotonic
2024-04-16T18:23:13.501863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 233
16.0%
3290000 158
10.9%
3400000 117
8.0%
3380000 109
7.5%
3310000 108
7.4%
3350000 105
7.2%
3300000 101
6.9%
3320000 100
 
6.9%
3340000 96
 
6.6%
3360000 77
 
5.3%
Other values (6) 251
17.3%
ValueCountFrequency (%)
3250000 46
 
3.2%
3260000 35
 
2.4%
3270000 22
 
1.5%
3280000 31
 
2.1%
3290000 158
10.9%
3300000 101
6.9%
3310000 108
7.4%
3320000 100
6.9%
3330000 233
16.0%
3340000 96
6.6%
ValueCountFrequency (%)
3400000 117
8.0%
3390000 47
 
3.2%
3380000 109
7.5%
3370000 70
 
4.8%
3360000 77
 
5.3%
3350000 105
7.2%
3340000 96
6.6%
3330000 233
16.0%
3320000 100
6.9%
3310000 108
7.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1455
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3321444 × 1017
Minimum3.25 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:13.613540image/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 deviation3.9431218 × 1015
Coefficient of variation (CV)0.011833586
Kurtosis-0.71676833
Mean3.3321444 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-0.012822605
Sum5.2116595 × 1018
Variance1.554821 × 1031
MonotonicityNot monotonic
2024-04-16T18:23:13.746208image/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 (1445) 1445
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 (%)
340000003720210004 1
0.1%
340000003720210003 1
0.1%
340000003720210002 1
0.1%
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%

인허가일자
Real number (ℝ)

Distinct726
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20170889
Minimum20080205
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:13.878457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080205
5-th percentile20090185
Q120170469
median20180914
Q320190502
95-th percentile20201104
Maximum20210331
Range130126
Interquartile range (IQR)20033

Descriptive statistics

Standard deviation32513.05
Coefficient of variation (CV)0.0016118798
Kurtosis1.4149971
Mean20170889
Median Absolute Deviation (MAD)9610
Skewness-1.5312014
Sum2.9348644 × 1010
Variance1.0570984 × 109
MonotonicityNot monotonic
2024-04-16T18:23:14.012982image/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 (716) 1289
88.6%
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 (%)
20210331 1
0.1%
20210329 2
0.1%
20210317 2
0.1%
20210312 1
0.1%
20210311 1
0.1%
20210308 2
0.1%
20210304 1
0.1%
20210226 2
0.1%
20210225 1
0.1%
20210224 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1455
Missing (%)100.0%
Memory size12.9 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
1
1078 
3
362 
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 1078
74.1%
3 362
 
24.9%
4 8
 
0.5%
2 7
 
0.5%

Length

2024-04-16T18:23:14.141625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:14.229648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1078
74.1%
3 362
 
24.9%
4 8
 
0.5%
2 7
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
영업/정상
1078 
폐업
362 
취소/말소/만료/정지/중지
 
8
휴업
 
7

Length

Max length14
Median length5
Mean length4.2886598
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 1078
74.1%
폐업 362
 
24.9%
취소/말소/만료/정지/중지 8
 
0.5%
휴업 7
 
0.5%

Length

2024-04-16T18:23:14.323106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:14.412234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1078
74.1%
폐업 362
 
24.9%
취소/말소/만료/정지/중지 8
 
0.5%
휴업 7
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
0
1078 
2
362 
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 1078
74.1%
2 362
 
24.9%
4 8
 
0.5%
1 7
 
0.5%

Length

2024-04-16T18:23:14.502374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:14.593864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1078
74.1%
2 362
 
24.9%
4 8
 
0.5%
1 7
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
정상
1078 
폐업
362 
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 1078
74.1%
폐업 362
 
24.9%
말소 8
 
0.5%
휴업 7
 
0.5%

Length

2024-04-16T18:23:14.684570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:14.770767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 1078
74.1%
폐업 362
 
24.9%
말소 8
 
0.5%
휴업 7
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct274
Distinct (%)79.0%
Missing1108
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean20177393
Minimum20080718
Maximum20210305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:14.882118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080718
5-th percentile20110313
Q120161168
median20190311
Q320200426
95-th percentile20210121
Maximum20210305
Range129587
Interquartile range (IQR)39257.5

Descriptive statistics

Standard deviation30828.994
Coefficient of variation (CV)0.0015278978
Kurtosis0.77140596
Mean20177393
Median Absolute Deviation (MAD)10590
Skewness-1.2799784
Sum7.0015555 × 109
Variance9.5042688 × 108
MonotonicityNot monotonic
2024-04-16T18:23:15.036591image/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%
20191018 3
 
0.2%
20190201 3
 
0.2%
20200106 3
 
0.2%
20200130 3
 
0.2%
20200219 3
 
0.2%
20201228 3
 
0.2%
20190118 3
 
0.2%
Other values (264) 314
 
21.6%
(Missing) 1108
76.2%
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 (%)
20210305 2
0.1%
20210303 2
0.1%
20210228 1
0.1%
20210227 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%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing1449
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean20174096
Minimum20110318
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:15.135628image/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
2024-04-16T18:23:15.222739image/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) 1449
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 size11.5 KiB
<NA>
1452 
20190630
 
1
20201231
 
1
20120316
 
1

Length

Max length8
Median length4
Mean length4.0082474
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> 1452
99.8%
20190630 1
 
0.1%
20201231 1
 
0.1%
20120316 1
 
0.1%

Length

2024-04-16T18:23:15.338494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:15.435821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1452
99.8%
20190630 1
 
0.1%
20201231 1
 
0.1%
20120316 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1455
Missing (%)100.0%
Memory size12.9 KiB

소재지전화
Text

MISSING 

Distinct692
Distinct (%)78.8%
Missing577
Missing (%)39.7%
Memory size11.5 KiB
2024-04-16T18:23:15.645031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.200456
Min length7

Characters and Unicode

Total characters9834
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

Unique552 ?
Unique (%)62.9%

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%
051-204-7568 3
 
0.3%
051-604-7268 3
 
0.3%
Other values (684) 841
95.6%
2024-04-16T18:23:15.982800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1512
15.4%
0 1434
14.6%
- 1399
14.2%
1 1326
13.5%
7 794
8.1%
2 738
7.5%
8 625
6.4%
4 541
 
5.5%
6 537
 
5.5%
3 508
 
5.2%
Other values (5) 420
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8426
85.7%
Dash Punctuation 1399
 
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 1512
17.9%
0 1434
17.0%
1 1326
15.7%
7 794
9.4%
2 738
8.8%
8 625
7.4%
4 541
 
6.4%
6 537
 
6.4%
3 508
 
6.0%
9 411
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1399
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 9834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1512
15.4%
0 1434
14.6%
- 1399
14.2%
1 1326
13.5%
7 794
8.1%
2 738
7.5%
8 625
6.4%
4 541
 
5.5%
6 537
 
5.5%
3 508
 
5.2%
Other values (5) 420
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1512
15.4%
0 1434
14.6%
- 1399
14.2%
1 1326
13.5%
7 794
8.1%
2 738
7.5%
8 625
6.4%
4 541
 
5.5%
6 537
 
5.5%
3 508
 
5.2%
Other values (5) 420
 
4.3%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
0
1309 
<NA>
146 

Length

Max length4
Median length1
Mean length1.3010309
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1309
90.0%
<NA> 146
 
10.0%

Length

2024-04-16T18:23:16.127264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:16.243127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1309
90.0%
na 146
 
10.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1455
Missing (%)100.0%
Memory size12.9 KiB

소재지전체주소
Text

MISSING 

Distinct1050
Distinct (%)75.7%
Missing68
Missing (%)4.7%
Memory size11.5 KiB
2024-04-16T18:23:16.468054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length24.142033
Min length12

Characters and Unicode

Total characters33485
Distinct characters339
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

Unique798 ?
Unique (%)57.5%

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 1387
 
21.7%
해운대구 216
 
3.4%
부산진구 137
 
2.1%
기장군 116
 
1.8%
금정구 103
 
1.6%
동래구 102
 
1.6%
수영구 102
 
1.6%
남구 101
 
1.6%
북구 97
 
1.5%
사하구 95
 
1.5%
Other values (1514) 3939
61.6%
2024-04-16T18:23:16.886131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5016
 
15.0%
산 1619
 
4.8%
부 1595
 
4.8%
동 1524
 
4.6%
광 1448
 
4.3%
1 1440
 
4.3%
시 1422
 
4.2%
역 1389
 
4.1%
구 1318
 
3.9%
지 1195
 
3.6%
Other values (329) 15519
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20552
61.4%
Decimal Number 6654
 
19.9%
Space Separator 5016
 
15.0%
Dash Punctuation 1191
 
3.6%
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 1619
 
7.9%
부 1595
 
7.8%
동 1524
 
7.4%
광 1448
 
7.0%
시 1422
 
6.9%
역 1389
 
6.8%
구 1318
 
6.4%
지 1195
 
5.8%
번 1108
 
5.4%
대 391
 
1.9%
Other values (300) 7543
36.7%
Decimal Number
ValueCountFrequency (%)
1 1440
21.6%
2 946
14.2%
3 746
11.2%
4 624
9.4%
5 580
8.7%
0 547
 
8.2%
7 474
 
7.1%
6 465
 
7.0%
8 465
 
7.0%
9 367
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 8
29.6%
E 3
 
11.1%
D 2
 
7.4%
S 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 (%)
5016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1191
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20552
61.4%
Common 12903
38.5%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1619
 
7.9%
부 1595
 
7.8%
동 1524
 
7.4%
광 1448
 
7.0%
시 1422
 
6.9%
역 1389
 
6.8%
구 1318
 
6.4%
지 1195
 
5.8%
번 1108
 
5.4%
대 391
 
1.9%
Other values (300) 7543
36.7%
Common
ValueCountFrequency (%)
5016
38.9%
1 1440
 
11.2%
- 1191
 
9.2%
2 946
 
7.3%
3 746
 
5.8%
4 624
 
4.8%
5 580
 
4.5%
0 547
 
4.2%
7 474
 
3.7%
6 465
 
3.6%
Other values (9) 874
 
6.8%
Latin
ValueCountFrequency (%)
B 10
33.3%
A 8
26.7%
E 3
 
10.0%
D 2
 
6.7%
S 2
 
6.7%
Ⅱ 1
 
3.3%
b 1
 
3.3%
L 1
 
3.3%
e 1
 
3.3%
G 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20552
61.4%
ASCII 12931
38.6%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5016
38.8%
1 1440
 
11.1%
- 1191
 
9.2%
2 946
 
7.3%
3 746
 
5.8%
4 624
 
4.8%
5 580
 
4.5%
0 547
 
4.2%
7 474
 
3.7%
6 465
 
3.6%
Other values (17) 902
 
7.0%
Hangul
ValueCountFrequency (%)
산 1619
 
7.9%
부 1595
 
7.8%
동 1524
 
7.4%
광 1448
 
7.0%
시 1422
 
6.9%
역 1389
 
6.8%
구 1318
 
6.4%
지 1195
 
5.8%
번 1108
 
5.4%
대 391
 
1.9%
Other values (300) 7543
36.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1087
Distinct (%)77.3%
Missing48
Missing (%)3.3%
Memory size11.5 KiB
2024-04-16T18:23:17.172229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length30.221748
Min length10

Characters and Unicode

Total characters42522
Distinct characters379
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 (%)59.3%

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 1407
 
16.5%
1층 237
 
2.8%
해운대구 218
 
2.6%
부산진구 156
 
1.8%
2층 147
 
1.7%
기장군 116
 
1.4%
수영구 110
 
1.3%
남구 105
 
1.2%
금정구 103
 
1.2%
북구 100
 
1.2%
Other values (1594) 5824
68.3%
2024-04-16T18:23:17.640677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7116
 
16.7%
동 1737
 
4.1%
산 1687
 
4.0%
부 1633
 
3.8%
1 1559
 
3.7%
광 1521
 
3.6%
시 1498
 
3.5%
역 1409
 
3.3%
구 1373
 
3.2%
로 1371
 
3.2%
Other values (369) 21618
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25114
59.1%
Space Separator 7116
 
16.7%
Decimal Number 6400
 
15.1%
Close Punctuation 1305
 
3.1%
Open Punctuation 1305
 
3.1%
Other Punctuation 976
 
2.3%
Dash Punctuation 242
 
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 1737
 
6.9%
산 1687
 
6.7%
부 1633
 
6.5%
광 1521
 
6.1%
시 1498
 
6.0%
역 1409
 
5.6%
구 1373
 
5.5%
로 1371
 
5.5%
대 771
 
3.1%
층 538
 
2.1%
Other values (339) 11576
46.1%
Decimal Number
ValueCountFrequency (%)
1 1559
24.4%
2 1014
15.8%
3 737
11.5%
0 564
 
8.8%
4 554
 
8.7%
5 468
 
7.3%
6 464
 
7.2%
8 395
 
6.2%
7 358
 
5.6%
9 287
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 22
45.8%
A 13
27.1%
D 4
 
8.3%
S 4
 
8.3%
E 3
 
6.2%
I 1
 
2.1%
P 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 970
99.4%
/ 5
 
0.5%
· 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1303
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1303
99.8%
[ 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
b 2
66.7%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
7116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25114
59.1%
Common 17356
40.8%
Latin 52
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1737
 
6.9%
산 1687
 
6.7%
부 1633
 
6.5%
광 1521
 
6.1%
시 1498
 
6.0%
역 1409
 
5.6%
구 1373
 
5.5%
로 1371
 
5.5%
대 771
 
3.1%
층 538
 
2.1%
Other values (339) 11576
46.1%
Common
ValueCountFrequency (%)
7116
41.0%
1 1559
 
9.0%
) 1303
 
7.5%
( 1303
 
7.5%
2 1014
 
5.8%
, 970
 
5.6%
3 737
 
4.2%
0 564
 
3.2%
4 554
 
3.2%
5 468
 
2.7%
Other values (10) 1768
 
10.2%
Latin
ValueCountFrequency (%)
B 22
42.3%
A 13
25.0%
D 4
 
7.7%
S 4
 
7.7%
E 3
 
5.8%
b 2
 
3.8%
I 1
 
1.9%
Ⅱ 1
 
1.9%
c 1
 
1.9%
P 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25114
59.1%
ASCII 17406
40.9%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7116
40.9%
1 1559
 
9.0%
) 1303
 
7.5%
( 1303
 
7.5%
2 1014
 
5.8%
, 970
 
5.6%
3 737
 
4.2%
0 564
 
3.2%
4 554
 
3.2%
5 468
 
2.7%
Other values (18) 1818
 
10.4%
Hangul
ValueCountFrequency (%)
동 1737
 
6.9%
산 1687
 
6.7%
부 1633
 
6.5%
광 1521
 
6.1%
시 1498
 
6.0%
역 1409
 
5.6%
구 1373
 
5.5%
로 1371
 
5.5%
대 771
 
3.1%
층 538
 
2.1%
Other values (339) 11576
46.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct582
Distinct (%)43.7%
Missing124
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean48062.758
Minimum46002
Maximum612811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:17.754019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46055
Q146726
median47830
Q348298
95-th percentile49333.5
Maximum612811
Range566809
Interquartile range (IQR)1572

Descriptive statistics

Standard deviation15523.593
Coefficient of variation (CV)0.3229859
Kurtosis1319.9881
Mean48062.758
Median Absolute Deviation (MAD)696
Skewness36.256428
Sum63971531
Variance2.4098194 × 108
MonotonicityNot monotonic
2024-04-16T18:23:17.863372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 35
 
2.4%
47214 26
 
1.8%
47215 15
 
1.0%
48111 12
 
0.8%
46759 10
 
0.7%
48096 9
 
0.6%
46283 9
 
0.6%
46015 9
 
0.6%
46527 8
 
0.5%
46541 8
 
0.5%
Other values (572) 1190
81.8%
(Missing) 124
 
8.5%
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
0.5%
46019 1
 
0.1%
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

Distinct1061
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2024-04-16T18:23:18.098133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length6.3958763
Min length2

Characters and Unicode

Total characters9306
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

Unique796 ?
Unique (%)54.7%

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 (1186) 1816
92.9%
2024-04-16T18:23:18.472263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
499
 
5.4%
견 294
 
3.2%
애 293
 
3.1%
동 257
 
2.8%
펫 240
 
2.6%
물 234
 
2.5%
이 234
 
2.5%
원 215
 
2.3%
스 208
 
2.2%
병 194
 
2.1%
Other values (558) 6638
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7887
84.8%
Space Separator 499
 
5.4%
Lowercase Letter 334
 
3.6%
Uppercase Letter 261
 
2.8%
Decimal Number 93
 
1.0%
Close Punctuation 88
 
0.9%
Open Punctuation 88
 
0.9%
Other Punctuation 37
 
0.4%
Dash Punctuation 9
 
0.1%
Other Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
견 294
 
3.7%
애 293
 
3.7%
동 257
 
3.3%
펫 240
 
3.0%
물 234
 
3.0%
이 234
 
3.0%
원 215
 
2.7%
스 208
 
2.6%
병 194
 
2.5%
아 182
 
2.3%
Other values (486) 5536
70.2%
Lowercase Letter
ValueCountFrequency (%)
o 49
14.7%
e 38
11.4%
t 37
11.1%
a 30
 
9.0%
s 21
 
6.3%
g 21
 
6.3%
r 16
 
4.8%
i 16
 
4.8%
p 15
 
4.5%
n 15
 
4.5%
Other values (12) 76
22.8%
Uppercase Letter
ValueCountFrequency (%)
O 32
12.3%
P 23
 
8.8%
T 21
 
8.0%
L 21
 
8.0%
S 20
 
7.7%
D 20
 
7.7%
E 16
 
6.1%
A 15
 
5.7%
B 14
 
5.4%
N 13
 
5.0%
Other values (12) 66
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 (%)
499
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7889
84.8%
Common 822
 
8.8%
Latin 595
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
견 294
 
3.7%
애 293
 
3.7%
동 257
 
3.3%
펫 240
 
3.0%
물 234
 
3.0%
이 234
 
3.0%
원 215
 
2.7%
스 208
 
2.6%
병 194
 
2.5%
아 182
 
2.3%
Other values (487) 5538
70.2%
Latin
ValueCountFrequency (%)
o 49
 
8.2%
e 38
 
6.4%
t 37
 
6.2%
O 32
 
5.4%
a 30
 
5.0%
P 23
 
3.9%
T 21
 
3.5%
s 21
 
3.5%
g 21
 
3.5%
L 21
 
3.5%
Other values (34) 302
50.8%
Common
ValueCountFrequency (%)
499
60.7%
) 88
 
10.7%
( 88
 
10.7%
1 19
 
2.3%
2 18
 
2.2%
4 16
 
1.9%
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 7887
84.8%
ASCII 1407
 
15.1%
None 8
 
0.1%
Letterlike Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
499
35.5%
) 88
 
6.3%
( 88
 
6.3%
o 49
 
3.5%
e 38
 
2.7%
t 37
 
2.6%
O 32
 
2.3%
a 30
 
2.1%
P 23
 
1.6%
T 21
 
1.5%
Other values (57) 502
35.7%
Hangul
ValueCountFrequency (%)
견 294
 
3.7%
애 293
 
3.7%
동 257
 
3.3%
펫 240
 
3.0%
물 234
 
3.0%
이 234
 
3.0%
원 215
 
2.7%
스 208
 
2.6%
병 194
 
2.5%
아 182
 
2.3%
Other values (486) 5536
70.2%
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 

Distinct1455
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.018419 × 1013
Minimum2.0100528 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:18.634640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100528 × 1013
5-th percentile2.0131183 × 1013
Q12.0180766 × 1013
median2.0190117 × 1013
Q32.0200403 × 1013
95-th percentile2.0210127 × 1013
Maximum2.0210331 × 1013
Range1.0980303 × 1011
Interquartile range (IQR)1.9637024 × 1010

Descriptive statistics

Standard deviation2.1930355 × 1010
Coefficient of variation (CV)0.0010865115
Kurtosis4.2728918
Mean2.018419 × 1013
Median Absolute Deviation (MAD)9.5990195 × 109
Skewness-1.9282362
Sum2.9367997 × 1016
Variance4.8094047 × 1020
MonotonicityNot monotonic
2024-04-16T18:23:18.757741image/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 (1445) 1445
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 (%)
20210331190646 1
0.1%
20210329192829 1
0.1%
20210329130947 1
0.1%
20210329103239 1
0.1%
20210329103054 1
0.1%
20210329102835 1
0.1%
20210322165553 1
0.1%
20210317172905 1
0.1%
20210317145644 1
0.1%
20210317145231 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
I
885 
U
570 

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 885
60.8%
U 570
39.2%

Length

2024-04-16T18:23:18.868278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:18.954373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 885
60.8%
u 570
39.2%

데이터갱신일자
Date

Distinct508
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 00:22:59
2024-04-16T18:23:19.044477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T18:23:19.440829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1455
Missing (%)100.0%
Memory size12.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct959
Distinct (%)66.6%
Missing15
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean389129.1
Minimum365516.72
Maximum406558.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:19.579371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365516.72
5-th percentile376658.73
Q1384769.68
median389708.16
Q3392949.24
95-th percentile400106.25
Maximum406558.97
Range41042.243
Interquartile range (IQR)8179.5614

Descriptive statistics

Standard deviation6773.7534
Coefficient of variation (CV)0.017407471
Kurtosis0.26642048
Mean389129.1
Median Absolute Deviation (MAD)4125.9135
Skewness-0.32927691
Sum5.603459 × 108
Variance45883735
MonotonicityNot monotonic
2024-04-16T18:23:19.696372image/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%
397397.83276594 5
 
0.3%
398330.516530402 5
 
0.3%
388297.793971458 5
 
0.3%
397967.170796858 5
 
0.3%
385590.814676765 5
 
0.3%
398407.043332602 5
 
0.3%
Other values (949) 1381
94.9%
(Missing) 15
 
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)

MISSING 

Distinct959
Distinct (%)66.6%
Missing15
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean187774.52
Minimum171651.68
Maximum210740.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-04-16T18:23:19.821385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171651.68
5-th percentile177979.47
Q1183795.6
median187544.42
Q3191267.95
95-th percentile198388.44
Maximum210740.39
Range39088.702
Interquartile range (IQR)7472.3476

Descriptive statistics

Standard deviation6462.4774
Coefficient of variation (CV)0.034416157
Kurtosis0.7512238
Mean187774.52
Median Absolute Deviation (MAD)3746.1347
Skewness0.5707613
Sum2.7039531 × 108
Variance41763614
MonotonicityNot monotonic
2024-04-16T18:23:19.956023image/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%
187354.835259309 5
 
0.3%
187771.511373596 5
 
0.3%
187623.946709662 5
 
0.3%
204592.491613115 5
 
0.3%
179553.867031936 5
 
0.3%
187784.843934451 5
 
0.3%
Other values (949) 1381
94.9%
(Missing) 15
 
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%

업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
동물판매업
1454 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9993127
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
동물판매업 1454
99.9%
<NA> 1
 
0.1%

Length

2024-04-16T18:23:20.077533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:20.186736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 1454
99.9%
na 1
 
0.1%

상세업무구분명
Categorical

Distinct21
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
미용
472 
판매
429 
위탁관리
212 
위탁관리 미용
117 
생산
51 
Other values (16)
174 

Length

Max length13
Median length2
Mean length3.0687285
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미용 472
32.4%
판매 429
29.5%
위탁관리 212
14.6%
위탁관리 미용 117
 
8.0%
생산 51
 
3.5%
전시 44
 
3.0%
운송 39
 
2.7%
판매 위탁관리 미용 37
 
2.5%
판매 미용 13
 
0.9%
전시 위탁관리 미용 9
 
0.6%
Other values (11) 32
 
2.2%

Length

2024-04-16T18:23:20.298066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용 652
38.1%
판매 492
28.8%
위탁관리 394
23.0%
전시 61
 
3.6%
생산 51
 
3.0%
운송 47
 
2.7%
수입 12
 
0.7%
na 1
 
0.1%

권리주체일련번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
000
1382 
L00
 
71
F00
 
1
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0006873
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
000 1382
95.0%
L00 71
 
4.9%
F00 1
 
0.1%
<NA> 1
 
0.1%

Length

2024-04-16T18:23:20.420503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:20.518536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 1382
95.0%
l00 71
 
4.9%
f00 1
 
0.1%
na 1
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1455
Missing (%)100.0%
Memory size12.9 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1455
Missing (%)100.0%
Memory size12.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분명상세업무구분명권리주체일련번호총종업원수Unnamed: 32
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>384915.689642179649.862332동물판매업전시L00<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>385425.302681180656.089366동물판매업미용000<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>385433.153589181201.167083동물판매업위탁관리000<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>385425.302681180656.089366동물판매업위탁관리000<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>385424.083436181145.082617동물판매업위탁관리000<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>385424.083436181145.082617동물판매업미용000<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>385487.638466181143.144733동물판매업미용000<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>385487.638466181143.144733동물판매업위탁관리000<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>384927.15866179502.459503동물판매업판매000<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>384949.343184179509.442788동물판매업판매000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분명상세업무구분명권리주체일련번호총종업원수Unnamed: 32
14451446동물판매업02_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>398546.572306186991.922046동물판매업위탁관리000<NA><NA>
14461447동물판매업02_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>397840.701696187816.437083동물판매업판매000<NA><NA>
14471448동물판매업02_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>396971.873603187436.069373동물판매업위탁관리000<NA><NA>
14481449동물판매업02_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>396971.873603187436.069373동물판매업운송000<NA><NA>
14491450동물판매업02_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>396971.873603187436.069373동물판매업미용000<NA><NA>
14501451동물판매업02_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>398884.821803187415.705382동물판매업미용000<NA><NA>
14511452동물판매업02_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>398330.51653187771.511374동물판매업위탁관리000<NA><NA>
14521453동물판매업02_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>395545.589022194110.168892동물판매업판매000<NA><NA>
14531454동물판매업02_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>393458.230914189671.53376동물판매업미용000<NA><NA>
14541455동물판매업02_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>393458.230914189671.53376동물판매업위탁관리000<NA><NA>