Overview

Dataset statistics

Number of variables34
Number of observations1408
Missing cells13161
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory403.0 KiB
Average record size in memory293.1 B

Variable types

Numeric10
Categorical12
Unsupported7
Text4
DateTime1

Dataset

Description2021-01-04
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 (56.8%)Imbalance
영업상태명 is highly imbalanced (56.8%)Imbalance
상세영업상태코드 is highly imbalanced (56.8%)Imbalance
상세영업상태명 is highly imbalanced (56.8%)Imbalance
휴업종료일자 is highly imbalanced (98.7%)Imbalance
소재지면적 is highly imbalanced (53.1%)Imbalance
축산업무구분명 is highly imbalanced (99.2%)Imbalance
권리주체일련번호 is highly imbalanced (85.2%)Imbalance
인허가취소일자 has 1408 (100.0%) missing valuesMissing
폐업일자 has 1101 (78.2%) missing valuesMissing
휴업시작일자 has 1402 (99.6%) missing valuesMissing
재개업일자 has 1408 (100.0%) missing valuesMissing
소재지전화 has 536 (38.1%) missing valuesMissing
소재지우편번호 has 1408 (100.0%) missing valuesMissing
소재지전체주소 has 68 (4.8%) missing valuesMissing
도로명전체주소 has 48 (3.4%) missing valuesMissing
도로명우편번호 has 124 (8.8%) missing valuesMissing
업태구분명 has 1408 (100.0%) missing valuesMissing
축산일련번호 has 1408 (100.0%) missing valuesMissing
총종업원수 has 1408 (100.0%) missing valuesMissing
Unnamed: 33 has 1408 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 35.6160991)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 09:23:53.223180
Analysis finished2024-04-16 09:23:54.145153
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean704.5
Minimum1
Maximum1408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:23:54.212081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile71.35
Q1352.75
median704.5
Q31056.25
95-th percentile1337.65
Maximum1408
Range1407
Interquartile range (IQR)703.5

Descriptive statistics

Standard deviation406.5989
Coefficient of variation (CV)0.57714535
Kurtosis-1.2
Mean704.5
Median Absolute Deviation (MAD)352
Skewness0
Sum991936
Variance165322.67
MonotonicityStrictly increasing
2024-04-16T18:23:54.342627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
706 1
 
0.1%
946 1
 
0.1%
945 1
 
0.1%
944 1
 
0.1%
943 1
 
0.1%
942 1
 
0.1%
941 1
 
0.1%
940 1
 
0.1%
939 1
 
0.1%
Other values (1398) 1398
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 (%)
1408 1
0.1%
1407 1
0.1%
1406 1
0.1%
1405 1
0.1%
1404 1
0.1%
1403 1
0.1%
1402 1
0.1%
1401 1
0.1%
1400 1
0.1%
1399 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
동물판매업
1408 

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 1408
100.0%

Length

2024-04-16T18:23:54.462863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:54.543051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 1408
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
02_03_06_P
1408 

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 1408
100.0%

Length

2024-04-16T18:23:54.635339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:54.719175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_06_p 1408
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3331846.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:23:54.798688image/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 deviation39450.732
Coefficient of variation (CV)0.011840501
Kurtosis-0.70527091
Mean3331846.6
Median Absolute Deviation (MAD)30000
Skewness-0.016203908
Sum4.69124 × 109
Variance1.5563602 × 109
MonotonicityNot monotonic
2024-04-16T18:23:54.905010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 225
16.0%
3290000 150
10.7%
3400000 113
8.0%
3380000 106
7.5%
3350000 102
7.2%
3300000 100
7.1%
3310000 100
7.1%
3320000 100
7.1%
3340000 95
 
6.7%
3360000 74
 
5.3%
Other values (6) 243
17.3%
ValueCountFrequency (%)
3250000 46
 
3.3%
3260000 35
 
2.5%
3270000 22
 
1.6%
3280000 31
 
2.2%
3290000 150
10.7%
3300000 100
7.1%
3310000 100
7.1%
3320000 100
7.1%
3330000 225
16.0%
3340000 95
6.7%
ValueCountFrequency (%)
3400000 113
8.0%
3390000 41
 
2.9%
3380000 106
7.5%
3370000 68
 
4.8%
3360000 74
 
5.3%
3350000 102
7.2%
3340000 95
6.7%
3330000 225
16.0%
3320000 100
7.1%
3310000 100
7.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3318466 × 1017
Minimum3.25 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:23:55.029378image/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 deviation3.9450732 × 1015
Coefficient of variation (CV)0.011840501
Kurtosis-0.70527091
Mean3.3318466 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-0.016203908
Sum7.9554034 × 1018
Variance1.5563602 × 1031
MonotonicityNot monotonic
2024-04-16T18:23:55.421131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
326000003720080003 1
 
0.1%
326000003720190001 1
 
0.1%
334000003720180016 1
 
0.1%
334000003720180015 1
 
0.1%
334000003720180020 1
 
0.1%
334000003720180019 1
 
0.1%
334000003720200003 1
 
0.1%
334000003720200002 1
 
0.1%
334000003720200001 1
 
0.1%
334000003720120006 1
 
0.1%
Other values (1398) 1398
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 (%)
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%
340000003720190019 1
0.1%

인허가일자
Real number (ℝ)

Distinct699
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20169605
Minimum20080205
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:23:55.534484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080205
5-th percentile20081091
Q120170120
median20180912
Q320190315
95-th percentile20200813
Maximum20201231
Range121026
Interquartile range (IQR)20195

Descriptive statistics

Standard deviation32263.064
Coefficient of variation (CV)0.0015995883
Kurtosis1.3776793
Mean20169605
Median Absolute Deviation (MAD)9517.5
Skewness-1.5577212
Sum2.8398803 × 1010
Variance1.0409053 × 109
MonotonicityNot monotonic
2024-04-16T18:23:55.680305image/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%
20180928 11
 
0.8%
20181022 11
 
0.8%
20181016 10
 
0.7%
Other values (689) 1242
88.2%
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 (%)
20201231 1
 
0.1%
20201229 1
 
0.1%
20201228 1
 
0.1%
20201224 1
 
0.1%
20201223 2
0.1%
20201218 1
 
0.1%
20201210 3
0.2%
20201207 2
0.1%
20201204 2
0.1%
20201127 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1408
Missing (%)100.0%
Memory size12.5 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
1
1074 
3
319 
4
 
8
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 1074
76.3%
3 319
 
22.7%
4 8
 
0.6%
2 7
 
0.5%

Length

2024-04-16T18:23:55.811150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:55.906765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1074
76.3%
3 319
 
22.7%
4 8
 
0.6%
2 7
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
영업/정상
1074 
폐업
319 
취소/말소/만료/정지/중지
 
8
휴업
 
7

Length

Max length14
Median length5
Mean length4.3565341
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 1074
76.3%
폐업 319
 
22.7%
취소/말소/만료/정지/중지 8
 
0.6%
휴업 7
 
0.5%

Length

2024-04-16T18:23:56.014088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:56.105088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1074
76.3%
폐업 319
 
22.7%
취소/말소/만료/정지/중지 8
 
0.6%
휴업 7
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
0
1074 
2
319 
4
 
8
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
0 1074
76.3%
2 319
 
22.7%
4 8
 
0.6%
1 7
 
0.5%

Length

2024-04-16T18:23:56.195524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:56.287938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1074
76.3%
2 319
 
22.7%
4 8
 
0.6%
1 7
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
정상
1074 
폐업
319 
말소
 
8
휴업
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 1074
76.3%
폐업 319
 
22.7%
말소 8
 
0.6%
휴업 7
 
0.5%

Length

2024-04-16T18:23:56.385095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:56.481096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 1074
76.3%
폐업 319
 
22.7%
말소 8
 
0.6%
휴업 7
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)80.5%
Missing1101
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean20173616
Minimum20080718
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:23:56.585638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080718
5-th percentile20103897
Q120160262
median20190108
Q320200116
95-th percentile20201021
Maximum20201231
Range120513
Interquartile range (IQR)39854

Descriptive statistics

Standard deviation30616.92
Coefficient of variation (CV)0.0015176714
Kurtosis0.54047149
Mean20173616
Median Absolute Deviation (MAD)10419
Skewness-1.2355313
Sum6.1933 × 109
Variance9.3739581 × 108
MonotonicityNot monotonic
2024-04-16T18:23:56.723711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200825 4
 
0.3%
20201021 4
 
0.3%
20190930 3
 
0.2%
20190201 3
 
0.2%
20191018 3
 
0.2%
20200219 3
 
0.2%
20190118 3
 
0.2%
20200130 3
 
0.2%
20200106 3
 
0.2%
20190830 2
 
0.1%
Other values (237) 276
 
19.6%
(Missing) 1101
78.2%
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 (%)
20201231 1
0.1%
20201228 2
0.1%
20201223 1
0.1%
20201222 1
0.1%
20201217 1
0.1%
20201207 2
0.1%
20201201 2
0.1%
20201130 1
0.1%
20201103 2
0.1%
20201031 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing1402
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean20174096
Minimum20110318
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:23:56.852009image/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
2024-04-16T18:23:56.942374image/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) 1402
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 size11.1 KiB
<NA>
1405 
20190630
 
1
20201231
 
1
20120316
 
1

Length

Max length8
Median length4
Mean length4.0085227
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> 1405
99.8%
20190630 1
 
0.1%
20201231 1
 
0.1%
20120316 1
 
0.1%

Length

2024-04-16T18:23:57.061237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:57.173925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1405
99.8%
20190630 1
 
0.1%
20201231 1
 
0.1%
20120316 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1408
Missing (%)100.0%
Memory size12.5 KiB

소재지전화
Text

MISSING 

Distinct685
Distinct (%)78.6%
Missing536
Missing (%)38.1%
Memory size11.1 KiB
2024-04-16T18:23:57.360486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.199541
Min length7

Characters and Unicode

Total characters9766
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

Unique544 ?
Unique (%)62.4%

Sample

1st row051-265-9319
2nd row051-204-7568
3rd row203-6741
4th row206-3510
5th row051-204-7568
ValueCountFrequency (%)
051-727-3342 6
 
0.7%
051-544-0204 4
 
0.5%
051-728-8785 4
 
0.5%
051-702-6754 4
 
0.5%
051-515-6964 4
 
0.5%
051-710-2002 4
 
0.5%
051-334-0070 4
 
0.5%
051-715-5641 3
 
0.3%
051-336-0790 3
 
0.3%
051-723-8850 3
 
0.3%
Other values (677) 835
95.5%
2024-04-16T18:23:57.682269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1492
15.3%
0 1431
14.7%
- 1391
14.2%
1 1315
13.5%
7 780
8.0%
2 731
7.5%
8 622
6.4%
4 538
 
5.5%
6 537
 
5.5%
3 511
 
5.2%
Other values (5) 418
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8366
85.7%
Dash Punctuation 1391
 
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 1492
17.8%
0 1431
17.1%
1 1315
15.7%
7 780
9.3%
2 731
8.7%
8 622
7.4%
4 538
 
6.4%
6 537
 
6.4%
3 511
 
6.1%
9 409
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1391
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 9766
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1492
15.3%
0 1431
14.7%
- 1391
14.2%
1 1315
13.5%
7 780
8.0%
2 731
7.5%
8 622
6.4%
4 538
 
5.5%
6 537
 
5.5%
3 511
 
5.2%
Other values (5) 418
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9766
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1492
15.3%
0 1431
14.7%
- 1391
14.2%
1 1315
13.5%
7 780
8.0%
2 731
7.5%
8 622
6.4%
4 538
 
5.5%
6 537
 
5.5%
3 511
 
5.2%
Other values (5) 418
 
4.3%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
0
1267 
<NA>
141 

Length

Max length4
Median length1
Mean length1.3004261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1267
90.0%
<NA> 141
 
10.0%

Length

2024-04-16T18:23:57.850895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:23:57.942475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1267
90.0%
na 141
 
10.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1408
Missing (%)100.0%
Memory size12.5 KiB

소재지전체주소
Text

MISSING 

Distinct1000
Distinct (%)74.6%
Missing68
Missing (%)4.8%
Memory size11.1 KiB
2024-04-16T18:23:58.170063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length24.314925
Min length12

Characters and Unicode

Total characters32582
Distinct characters335
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique749 ?
Unique (%)55.9%

Sample

1st row부산광역시 서구 토성동4가 32-9번지
2nd row부산광역시 사하구 다대동 1218-1번지
3rd row부산광역시 사하구 괴정동 430-4번지
4th row부산광역시 사하구 하단동 616-6번지 한우리빌딩
5th row부산광역시 사하구 괴정동 430-6번지
ValueCountFrequency (%)
부산광역시 1340
 
21.7%
해운대구 208
 
3.4%
부산진구 129
 
2.1%
기장군 112
 
1.8%
동래구 101
 
1.6%
금정구 100
 
1.6%
수영구 99
 
1.6%
북구 97
 
1.6%
사하구 94
 
1.5%
남구 93
 
1.5%
Other values (1445) 3811
61.6%
2024-04-16T18:23:58.579191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4852
 
14.9%
산 1562
 
4.8%
부 1537
 
4.7%
동 1479
 
4.5%
광 1398
 
4.3%
1 1392
 
4.3%
시 1374
 
4.2%
역 1342
 
4.1%
구 1274
 
3.9%
지 1261
 
3.9%
Other values (325) 15111
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20058
61.6%
Decimal Number 6450
 
19.8%
Space Separator 4852
 
14.9%
Dash Punctuation 1153
 
3.5%
Uppercase Letter 27
 
0.1%
Other Punctuation 26
 
0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1562
 
7.8%
부 1537
 
7.7%
동 1479
 
7.4%
광 1398
 
7.0%
시 1374
 
6.9%
역 1342
 
6.7%
구 1274
 
6.4%
지 1261
 
6.3%
번 1176
 
5.9%
대 376
 
1.9%
Other values (297) 7279
36.3%
Decimal Number
ValueCountFrequency (%)
1 1392
21.6%
2 923
14.3%
3 735
11.4%
4 602
9.3%
5 554
 
8.6%
0 528
 
8.2%
7 461
 
7.1%
6 448
 
6.9%
8 448
 
6.9%
9 359
 
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 (%)
, 21
80.8%
/ 4
 
15.4%
· 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 5
71.4%
[ 2
 
28.6%
Close Punctuation
ValueCountFrequency (%)
) 5
71.4%
] 2
 
28.6%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
4852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20058
61.6%
Common 12495
38.3%
Latin 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1562
 
7.8%
부 1537
 
7.7%
동 1479
 
7.4%
광 1398
 
7.0%
시 1374
 
6.9%
역 1342
 
6.7%
구 1274
 
6.4%
지 1261
 
6.3%
번 1176
 
5.9%
대 376
 
1.9%
Other values (297) 7279
36.3%
Common
ValueCountFrequency (%)
4852
38.8%
1 1392
 
11.1%
- 1153
 
9.2%
2 923
 
7.4%
3 735
 
5.9%
4 602
 
4.8%
5 554
 
4.4%
0 528
 
4.2%
7 461
 
3.7%
6 448
 
3.6%
Other values (9) 847
 
6.8%
Latin
ValueCountFrequency (%)
B 10
34.5%
A 8
27.6%
E 3
 
10.3%
S 2
 
6.9%
D 2
 
6.9%
e 1
 
3.4%
b 1
 
3.4%
L 1
 
3.4%
G 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20058
61.6%
ASCII 12523
38.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4852
38.7%
1 1392
 
11.1%
- 1153
 
9.2%
2 923
 
7.4%
3 735
 
5.9%
4 602
 
4.8%
5 554
 
4.4%
0 528
 
4.2%
7 461
 
3.7%
6 448
 
3.6%
Other values (17) 875
 
7.0%
Hangul
ValueCountFrequency (%)
산 1562
 
7.8%
부 1537
 
7.7%
동 1479
 
7.4%
광 1398
 
7.0%
시 1374
 
6.9%
역 1342
 
6.7%
구 1274
 
6.4%
지 1261
 
6.3%
번 1176
 
5.9%
대 376
 
1.9%
Other values (297) 7279
36.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1053
Distinct (%)77.4%
Missing48
Missing (%)3.4%
Memory size11.1 KiB
2024-04-16T18:23:58.897750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length30.146324
Min length10

Characters and Unicode

Total characters40999
Distinct characters374
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique812 ?
Unique (%)59.7%

Sample

1st row부산광역시 사하구 다대로 513 (다대동)
2nd row부산광역시 사하구 낙동대로 194, 1층 (괴정동)
3rd row부산광역시 사하구 하신중앙로 326, 한우리빌딩 3층 (하단동)
4th row부산광역시 사하구 낙동대로 196 (괴정동)
5th row부산광역시 사하구 사하로 156-1 (괴정동)
ValueCountFrequency (%)
부산광역시 1360
 
16.5%
1층 231
 
2.8%
해운대구 210
 
2.6%
부산진구 148
 
1.8%
2층 139
 
1.7%
기장군 112
 
1.4%
수영구 107
 
1.3%
금정구 100
 
1.2%
북구 100
 
1.2%
남구 97
 
1.2%
Other values (1543) 5621
68.3%
2024-04-16T18:23:59.349922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6865
 
16.7%
동 1683
 
4.1%
산 1632
 
4.0%
부 1574
 
3.8%
1 1507
 
3.7%
광 1469
 
3.6%
시 1448
 
3.5%
역 1362
 
3.3%
로 1330
 
3.2%
구 1329
 
3.2%
Other values (364) 20800
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24233
59.1%
Space Separator 6865
 
16.7%
Decimal Number 6153
 
15.0%
Close Punctuation 1262
 
3.1%
Open Punctuation 1262
 
3.1%
Other Punctuation 930
 
2.3%
Dash Punctuation 233
 
0.6%
Uppercase Letter 46
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1683
 
6.9%
산 1632
 
6.7%
부 1574
 
6.5%
광 1469
 
6.1%
시 1448
 
6.0%
역 1362
 
5.6%
로 1330
 
5.5%
구 1329
 
5.5%
대 744
 
3.1%
층 507
 
2.1%
Other values (335) 11155
46.0%
Decimal Number
ValueCountFrequency (%)
1 1507
24.5%
2 980
15.9%
3 703
11.4%
0 542
 
8.8%
4 536
 
8.7%
5 449
 
7.3%
6 443
 
7.2%
8 378
 
6.1%
7 345
 
5.6%
9 270
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 20
43.5%
A 13
28.3%
S 4
 
8.7%
D 4
 
8.7%
E 3
 
6.5%
P 1
 
2.2%
I 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 924
99.4%
/ 5
 
0.5%
· 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1260
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1260
99.8%
[ 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
b 2
66.7%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
6865
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24233
59.1%
Common 16717
40.8%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1683
 
6.9%
산 1632
 
6.7%
부 1574
 
6.5%
광 1469
 
6.1%
시 1448
 
6.0%
역 1362
 
5.6%
로 1330
 
5.5%
구 1329
 
5.5%
대 744
 
3.1%
층 507
 
2.1%
Other values (335) 11155
46.0%
Common
ValueCountFrequency (%)
6865
41.1%
1 1507
 
9.0%
) 1260
 
7.5%
( 1260
 
7.5%
2 980
 
5.9%
, 924
 
5.5%
3 703
 
4.2%
0 542
 
3.2%
4 536
 
3.2%
5 449
 
2.7%
Other values (10) 1691
 
10.1%
Latin
ValueCountFrequency (%)
B 20
40.8%
A 13
26.5%
S 4
 
8.2%
D 4
 
8.2%
E 3
 
6.1%
b 2
 
4.1%
P 1
 
2.0%
c 1
 
2.0%
I 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24233
59.1%
ASCII 16765
40.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6865
40.9%
1 1507
 
9.0%
) 1260
 
7.5%
( 1260
 
7.5%
2 980
 
5.8%
, 924
 
5.5%
3 703
 
4.2%
0 542
 
3.2%
4 536
 
3.2%
5 449
 
2.7%
Other values (18) 1739
 
10.4%
Hangul
ValueCountFrequency (%)
동 1683
 
6.9%
산 1632
 
6.7%
부 1574
 
6.5%
광 1469
 
6.1%
시 1448
 
6.0%
역 1362
 
5.6%
로 1330
 
5.5%
구 1329
 
5.5%
대 744
 
3.1%
층 507
 
2.1%
Other values (335) 11155
46.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct568
Distinct (%)44.2%
Missing124
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean48083.055
Minimum46002
Maximum612811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:23:59.471651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46055
Q146726
median47832
Q348298.25
95-th percentile49337.85
Maximum612811
Range566809
Interquartile range (IQR)1572.25

Descriptive statistics

Standard deviation15804.198
Coefficient of variation (CV)0.3286854
Kurtosis1273.6422
Mean48083.055
Median Absolute Deviation (MAD)708
Skewness35.616099
Sum61738643
Variance2.4977269 × 108
MonotonicityNot monotonic
2024-04-16T18:23:59.582491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 35
 
2.5%
47214 25
 
1.8%
47215 15
 
1.1%
48111 12
 
0.9%
46759 10
 
0.7%
48096 9
 
0.6%
46015 9
 
0.6%
46283 9
 
0.6%
46541 8
 
0.6%
46291 8
 
0.6%
Other values (558) 1144
81.2%
(Missing) 124
 
8.8%
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

Distinct1031
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2024-04-16T18:23:59.824662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length6.3629261
Min length2

Characters and Unicode

Total characters8959
Distinct characters562
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

Unique778 ?
Unique (%)55.3%

Sample

1st row퍼피하우스
2nd row펫월드 다대점
3rd row착한강아지
4th row몽이네
5th row신촌애견미용실
ValueCountFrequency (%)
동물병원 29
 
1.5%
강아지 17
 
0.9%
펫 14
 
0.7%
pet 13
 
0.7%
야옹아 11
 
0.6%
애견샵 11
 
0.6%
우리집 9
 
0.5%
개 9
 
0.5%
애견카페 9
 
0.5%
애견 9
 
0.5%
Other values (1150) 1752
93.0%
2024-04-16T18:24:00.202713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
475
 
5.3%
견 288
 
3.2%
애 288
 
3.2%
동 252
 
2.8%
펫 231
 
2.6%
물 229
 
2.6%
이 224
 
2.5%
원 216
 
2.4%
스 204
 
2.3%
병 190
 
2.1%
Other values (552) 6362
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7627
85.1%
Space Separator 475
 
5.3%
Lowercase Letter 307
 
3.4%
Uppercase Letter 252
 
2.8%
Close Punctuation 84
 
0.9%
Open Punctuation 84
 
0.9%
Decimal Number 77
 
0.9%
Other Punctuation 34
 
0.4%
Dash Punctuation 9
 
0.1%
Other Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
견 288
 
3.8%
애 288
 
3.8%
동 252
 
3.3%
펫 231
 
3.0%
물 229
 
3.0%
이 224
 
2.9%
원 216
 
2.8%
스 204
 
2.7%
병 190
 
2.5%
아 181
 
2.4%
Other values (481) 5324
69.8%
Lowercase Letter
ValueCountFrequency (%)
o 44
14.3%
e 35
11.4%
t 33
10.7%
a 30
9.8%
g 20
 
6.5%
s 20
 
6.5%
n 15
 
4.9%
i 15
 
4.9%
r 14
 
4.6%
p 12
 
3.9%
Other values (12) 69
22.5%
Uppercase Letter
ValueCountFrequency (%)
O 30
11.9%
P 22
 
8.7%
L 21
 
8.3%
D 20
 
7.9%
S 19
 
7.5%
T 19
 
7.5%
A 15
 
6.0%
E 15
 
6.0%
B 14
 
5.6%
N 12
 
4.8%
Other values (12) 65
25.8%
Other Punctuation
ValueCountFrequency (%)
& 10
29.4%
' 5
14.7%
. 4
 
11.8%
＆ 3
 
8.8%
, 3
 
8.8%
# 2
 
5.9%
! 2
 
5.9%
@ 2
 
5.9%
; 1
 
2.9%
? 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 18
23.4%
1 16
20.8%
4 12
15.6%
8 9
11.7%
3 7
 
9.1%
5 6
 
7.8%
6 6
 
7.8%
9 3
 
3.9%
Other Symbol
ValueCountFrequency (%)
℃ 4
66.7%
㈜ 2
33.3%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
× 1
 
25.0%
Space Separator
ValueCountFrequency (%)
475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7629
85.2%
Common 771
 
8.6%
Latin 559
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
견 288
 
3.8%
애 288
 
3.8%
동 252
 
3.3%
펫 231
 
3.0%
물 229
 
3.0%
이 224
 
2.9%
원 216
 
2.8%
스 204
 
2.7%
병 190
 
2.5%
아 181
 
2.4%
Other values (482) 5326
69.8%
Latin
ValueCountFrequency (%)
o 44
 
7.9%
e 35
 
6.3%
t 33
 
5.9%
a 30
 
5.4%
O 30
 
5.4%
P 22
 
3.9%
L 21
 
3.8%
g 20
 
3.6%
D 20
 
3.6%
s 20
 
3.6%
Other values (34) 284
50.8%
Common
ValueCountFrequency (%)
475
61.6%
) 84
 
10.9%
( 84
 
10.9%
2 18
 
2.3%
1 16
 
2.1%
4 12
 
1.6%
& 10
 
1.3%
8 9
 
1.2%
- 9
 
1.2%
3 7
 
0.9%
Other values (16) 47
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7627
85.1%
ASCII 1321
 
14.7%
None 7
 
0.1%
Letterlike Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
475
36.0%
) 84
 
6.4%
( 84
 
6.4%
o 44
 
3.3%
e 35
 
2.6%
t 33
 
2.5%
a 30
 
2.3%
O 30
 
2.3%
P 22
 
1.7%
L 21
 
1.6%
Other values (56) 463
35.0%
Hangul
ValueCountFrequency (%)
견 288
 
3.8%
애 288
 
3.8%
동 252
 
3.3%
펫 231
 
3.0%
물 229
 
3.0%
이 224
 
2.9%
원 216
 
2.8%
스 204
 
2.7%
병 190
 
2.5%
아 181
 
2.4%
Other values (481) 5324
69.8%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
None
ValueCountFrequency (%)
＆ 3
42.9%
㈜ 2
28.6%
· 1
 
14.3%
× 1
 
14.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0181736 × 1013
Minimum2.0100528 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:24:00.344627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100528 × 1013
5-th percentile2.0131057 × 1013
Q12.0180711 × 1013
median2.0181112 × 1013
Q32.0193449 × 1013
95-th percentile2.0201028 × 1013
Maximum2.0201231 × 1013
Range1.0070297 × 1011
Interquartile range (IQR)1.2737735 × 1010

Descriptive statistics

Standard deviation2.1248033 × 1010
Coefficient of variation (CV)0.0010528347
Kurtosis4.4934232
Mean2.0181736 × 1013
Median Absolute Deviation (MAD)9.4989956 × 109
Skewness-2.0821294
Sum2.8415884 × 1016
Variance4.5147889 × 1020
MonotonicityNot monotonic
2024-04-16T18:24:00.475444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110428100744 1
 
0.1%
20190220170920 1
 
0.1%
20201211094247 1
 
0.1%
20180807165239 1
 
0.1%
20190220091947 1
 
0.1%
20180822154554 1
 
0.1%
20200311200745 1
 
0.1%
20200116085146 1
 
0.1%
20200116090105 1
 
0.1%
20121109135426 1
 
0.1%
Other values (1398) 1398
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 (%)
20201231134845 1
0.1%
20201231131527 1
0.1%
20201231131358 1
0.1%
20201229154017 1
0.1%
20201229103329 1
0.1%
20201228174647 1
0.1%
20201228153944 1
0.1%
20201228152706 1
0.1%
20201228132052 1
0.1%
20201224091845 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
I
892 
U
516 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 892
63.4%
U 516
36.6%

Length

2024-04-16T18:24:00.597391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:24:00.717882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 892
63.4%
u 516
36.6%

데이터갱신일자
Date

Distinct468
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-16T18:24:00.843342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T18:24:00.973356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1408
Missing (%)100.0%
Memory size12.5 KiB

좌표정보(x)
Real number (ℝ)

Distinct932
Distinct (%)66.8%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean389144.52
Minimum366865.44
Maximum406558.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:24:01.097975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366865.44
5-th percentile377468.24
Q1384835.53
median389697.63
Q3392950.95
95-th percentile400139.14
Maximum406558.97
Range39693.524
Interquartile range (IQR)8115.4166

Descriptive statistics

Standard deviation6729.0911
Coefficient of variation (CV)0.01729201
Kurtosis0.10890614
Mean389144.52
Median Absolute Deviation (MAD)4127.4457
Skewness-0.26958701
Sum5.4285661 × 108
Variance45280666
MonotonicityNot monotonic
2024-04-16T18:24:01.216529image/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%
388297.793971458 5
 
0.4%
398407.043332602 5
 
0.4%
388355.172822604 5
 
0.4%
382785.085948843 5
 
0.4%
391911.842586275 5
 
0.4%
397397.83276594 5
 
0.4%
398330.516530402 5
 
0.4%
Other values (922) 1337
95.0%
(Missing) 13
 
0.9%
ValueCountFrequency (%)
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%
371540.549400927 3
0.2%
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)

Distinct932
Distinct (%)66.8%
Missing13
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean187805.28
Minimum173895.66
Maximum210740.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-04-16T18:24:01.377974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178014.57
Q1183765.72
median187563.17
Q3191343.48
95-th percentile198390.47
Maximum210740.39
Range36844.73
Interquartile range (IQR)7577.7607

Descriptive statistics

Standard deviation6471.8268
Coefficient of variation (CV)0.034460303
Kurtosis0.71144228
Mean187805.28
Median Absolute Deviation (MAD)3781.621
Skewness0.5897284
Sum2.6198836 × 108
Variance41884542
MonotonicityNot monotonic
2024-04-16T18:24:01.505626image/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%
187623.946709662 5
 
0.4%
187784.843934451 5
 
0.4%
187563.171164463 5
 
0.4%
193587.91806133 5
 
0.4%
184100.968518423 5
 
0.4%
187354.835259309 5
 
0.4%
187771.511373596 5
 
0.4%
Other values (922) 1337
95.0%
(Missing) 13
 
0.9%
ValueCountFrequency (%)
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%
175444.984192417 2
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
0.4%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
동물판매업
1407 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9992898
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
동물판매업 1407
99.9%
<NA> 1
 
0.1%

Length

2024-04-16T18:24:01.624676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:24:01.735301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 1407
99.9%
na 1
 
0.1%

축산물가공업구분명
Categorical

Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
미용
454 
판매
426 
위탁관리
200 
위탁관리 미용
114 
생산
47 
Other values (15)
167 

Length

Max length13
Median length2
Mean length3.0745739
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
미용 454
32.2%
판매 426
30.3%
위탁관리 200
14.2%
위탁관리 미용 114
 
8.1%
생산 47
 
3.3%
전시 40
 
2.8%
판매 위탁관리 미용 37
 
2.6%
운송 36
 
2.6%
판매 미용 14
 
1.0%
전시 위탁관리 미용 9
 
0.6%
Other values (10) 31
 
2.2%

Length

2024-04-16T18:24:01.836805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용 631
38.0%
판매 488
29.4%
위탁관리 379
22.8%
전시 58
 
3.5%
생산 47
 
2.8%
운송 44
 
2.7%
수입 11
 
0.7%
na 1
 
0.1%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1408
Missing (%)100.0%
Memory size12.5 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
000
1338 
L00
 
68
F00
 
1
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0007102
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
000 1338
95.0%
L00 68
 
4.8%
F00 1
 
0.1%
<NA> 1
 
0.1%

Length

2024-04-16T18:24:02.228691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T18:24:02.314569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 1338
95.0%
l00 68
 
4.8%
f00 1
 
0.1%
na 1
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1408
Missing (%)100.0%
Memory size12.5 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1408
Missing (%)100.0%
Memory size12.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01동물판매업02_03_06_P326000032600000372008000320080619<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 토성동4가 32-9번지<NA><NA>퍼피하우스20110428100744I2018-08-31 23:59:59.0<NA>384373.477308179352.436505동물판매업판매<NA>000<NA><NA>
12동물판매업02_03_06_P334000033400000372017000120170411<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>051-265-93190<NA>부산광역시 사하구 다대동 1218-1번지부산광역시 사하구 다대로 513 (다대동)49523펫월드 다대점20180726134654I2018-08-31 23:59:59.0<NA>379944.5248175157.866324동물판매업판매<NA>L00<NA><NA>
23동물판매업02_03_06_P334000033400000372018000320180425<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>051-204-75680<NA>부산광역시 사하구 괴정동 430-4번지부산광역시 사하구 낙동대로 194, 1층 (괴정동)49338착한강아지20180726134624I2018-08-31 23:59:59.0<NA>381879.585722179834.707103동물판매업미용<NA>000<NA><NA>
34동물판매업02_03_06_P334000033400000372018000520180430<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0<NA>부산광역시 사하구 하단동 616-6번지 한우리빌딩부산광역시 사하구 하신중앙로 326, 한우리빌딩 3층 (하단동)49407몽이네20180726134752I2018-08-31 23:59:59.0<NA>379190.728005180187.747506동물판매업위탁관리<NA>000<NA><NA>
45동물판매업02_03_06_P334000033400000372010000220100421<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>203-67410<NA>부산광역시 사하구 괴정동 430-6번지부산광역시 사하구 낙동대로 196 (괴정동)49338신촌애견미용실20180726134151I2018-08-31 23:59:59.0<NA>381852.21976179813.441565동물판매업판매<NA>000<NA><NA>
56동물판매업02_03_06_P334000033400000372010000420100427<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>206-35100<NA>부산광역시 사하구 괴정동 477-28번지부산광역시 사하구 사하로 156-1 (괴정동)49360아이러브20180726134343I2018-08-31 23:59:59.0<NA>381733.669283179217.08861동물판매업판매<NA>000<NA><NA>
67동물판매업02_03_06_P334000033400000372012000720121224<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>051-204-75680<NA>부산광역시 사하구 괴정동 430-0004번지부산광역시 사하구 낙동대로 194 (괴정동)<NA>착한강아지20180726134530I2018-08-31 23:59:59.0<NA>381879.585722179834.707103동물판매업판매<NA>000<NA><NA>
78동물판매업02_03_06_P340000034000000372020000520200714<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0<NA>부산광역시 기장군 장안읍 오리 72-1부산광역시 기장군 장안읍 대룡1길 31-546030시바나라20200714180614I2020-09-16 00:23:12.0<NA>405861.100252210351.985672동물판매업생산<NA>000<NA><NA>
89동물판매업02_03_06_P325000032500000372014000120140829<NA>3폐업2폐업20190108<NA><NA><NA><NA>0<NA>부산광역시 중구 중앙동7가 20-1번지부산광역시 중구 중앙대로 2 (중앙동7가)48944펫가든동물병원20190514101545U2019-05-16 02:40:00.0<NA>385590.814677179553.867032동물판매업판매<NA>000<NA><NA>
910동물판매업02_03_06_P325000032500000372014000220140902<NA>3폐업2폐업20180326<NA><NA><NA>469-89780<NA>부산광역시 중구 중앙동7가 20-1번지부산광역시 중구 중앙대로 2 (중앙동7가)48944펫팰리스20180326160531I2018-08-31 23:59:59.0<NA>385590.814677179553.867032동물판매업판매<NA>000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
13981399동물판매업02_03_06_P333000033300000372018007820181226<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>부산광역시 해운대구 송정동 444-11번지부산광역시 해운대구 송정광어골로 82, 안나수빌딩 6층 (송정동)48073하오쿠20181226090015I2018-12-28 02:20:30.0<NA>399994.475652188327.510601동물판매업전시<NA>000<NA><NA>
13991400동물판매업02_03_06_P333000033300000372018007920181226<NA>1영업/정상0정상<NA><NA><NA><NA>051-747-69080<NA>부산광역시 해운대구 좌동 1465-4번지 화창프라자 401호부산광역시 해운대구 세실로69번길 5, 화창프라자 401호 (좌동)48106테리몽하우스20181226093922I2018-12-28 02:20:30.0<NA>398209.525949187911.687754동물판매업전시<NA>000<NA><NA>
14001401동물판매업02_03_06_P333000033300000372018008020181226<NA>1영업/정상0정상<NA><NA><NA><NA>051-747-69080<NA>부산광역시 해운대구 좌동 1465-4번지 화창프라자 401호부산광역시 해운대구 세실로69번길 5, 화창프라자 401호 (좌동)48106테리몽하우스20181226094154I2018-12-28 02:20:30.0<NA>398209.525949187911.687754동물판매업위탁관리<NA>000<NA><NA>
14011402동물판매업02_03_06_P333000033300000372018008120181226<NA>1영업/정상0정상<NA><NA><NA><NA>051-747-69080<NA>부산광역시 해운대구 좌동 1465-4번지 화창프라자 401호부산광역시 해운대구 세실로69번길 5, 화창프라자 401호 (좌동)48106테리몽하우스20181226094348I2018-12-28 02:20:30.0<NA>398209.525949187911.687754동물판매업미용<NA>000<NA><NA>
14021403동물판매업02_03_06_P333000033300000372018007520181107<NA>1영업/정상0정상<NA><NA><NA><NA>051-781-01880<NA>부산광역시 해운대구 반여동 1291-1040번지부산광역시 해운대구 재반로 187-4, 1층 (반여동)48051애견하우스20181107133117I2018-11-09 02:36:09.0<NA>393953.169933190395.879454동물판매업미용<NA>000<NA><NA>
14031404동물판매업02_03_06_P333000033300000372018007620181107<NA>1영업/정상0정상<NA><NA><NA><NA>051-781-01880<NA>부산광역시 해운대구 반여동 1291-1040번지부산광역시 해운대구 재반로 187-4, 1층 (반여동)48051애견하우스20181107133321I2018-11-09 02:36:09.0<NA>393953.169933190395.879454동물판매업위탁관리<NA>000<NA><NA>
14041405동물판매업02_03_06_P333000033300000372020004520201210<NA>1영업/정상0정상<NA><NA><NA><NA>051-743-03360<NA>부산광역시 해운대구 중동 1809 해운대힐스테이트위브부산광역시 해운대구 좌동순환로433번길 30-1, 해운대힐스테이트위브상가 312호 (중동)48114힐스독20201210093020I2020-12-12 00:23:07.0<NA>398546.572306186991.922046동물판매업미용<NA>000<NA><NA>
14051406동물판매업02_03_06_P333000033300000372020004620201210<NA>1영업/정상0정상<NA><NA><NA><NA>051-743-03360<NA>부산광역시 해운대구 중동 1809 해운대힐스테이트위브부산광역시 해운대구 좌동순환로433번길 30-1, 해운대힐스테이트위브상가 312호 (중동)48114힐스독20201210093417I2020-12-12 00:23:07.0<NA>398546.572306186991.922046동물판매업위탁관리<NA>000<NA><NA>
14061407동물판매업02_03_06_P333000033300000372020004720201224<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>부산광역시 해운대구 중동 1124-8 영무 파라드 호텔부산광역시 해운대구 해운대해변로298번길 25, 영무 파라드 호텔 (중동)48099영무 파라드 호텔20201224091845I2020-12-26 00:23:21.0<NA>397334.933024186789.909589동물판매업전시 위탁관리 미용<NA>000<NA><NA>
14071408동물판매업02_03_06_P333000033300000372020004420201125<NA>1영업/정상0정상<NA><NA><NA><NA>051-747-01860<NA>부산광역시 해운대구 중동 1521-30부산광역시 해운대구 좌동순환로 415, 1층 (중동)48114몽띠끄20201125100702I2020-11-27 00:23:08.0<NA>398139.889316186896.348886동물판매업미용<NA>000<NA><NA>