Overview

Dataset statistics

Number of variables30
Number of observations3978
Missing cells28706
Missing cells (%)24.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1006.3 KiB
Average record size in memory259.0 B

Variable types

Numeric10
Categorical9
Text5
Unsupported5
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123005

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 is highly imbalanced (50.6%)Imbalance
영업상태명 is highly imbalanced (50.6%)Imbalance
상세영업상태코드 is highly imbalanced (50.6%)Imbalance
상세영업상태명 is highly imbalanced (50.6%)Imbalance
휴업시작일자 is highly imbalanced (99.6%)Imbalance
휴업종료일자 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3978 (100.0%) missing valuesMissing
폐업일자 has 2402 (60.4%) missing valuesMissing
재개업일자 has 3978 (100.0%) missing valuesMissing
소재지전화 has 1708 (42.9%) missing valuesMissing
소재지면적 has 3978 (100.0%) missing valuesMissing
소재지우편번호 has 2456 (61.7%) missing valuesMissing
소재지전체주소 has 793 (19.9%) missing valuesMissing
업태구분명 has 3978 (100.0%) missing valuesMissing
좌표정보(x) has 59 (1.5%) missing valuesMissing
좌표정보(y) has 59 (1.5%) missing valuesMissing
판매점영업면적 has 1333 (33.5%) missing valuesMissing
Unnamed: 29 has 3978 (100.0%) missing valuesMissing
판매점영업면적 is highly skewed (γ1 = 35.23958752)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
소재지면적 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
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 01:12:46.138165
Analysis finished2024-04-17 01:12:47.388664
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3978
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1989.5
Minimum1
Maximum3978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:47.445500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile199.85
Q1995.25
median1989.5
Q32983.75
95-th percentile3779.15
Maximum3978
Range3977
Interquartile range (IQR)1988.5

Descriptive statistics

Standard deviation1148.494
Coefficient of variation (CV)0.57727771
Kurtosis-1.2
Mean1989.5
Median Absolute Deviation (MAD)994.5
Skewness0
Sum7914231
Variance1319038.5
MonotonicityStrictly increasing
2024-04-17T10:12:47.561171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2658 1
 
< 0.1%
2645 1
 
< 0.1%
2646 1
 
< 0.1%
2647 1
 
< 0.1%
2648 1
 
< 0.1%
2649 1
 
< 0.1%
2650 1
 
< 0.1%
2651 1
 
< 0.1%
2652 1
 
< 0.1%
Other values (3968) 3968
99.7%
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 (%)
3978 1
< 0.1%
3977 1
< 0.1%
3976 1
< 0.1%
3975 1
< 0.1%
3974 1
< 0.1%
3973 1
< 0.1%
3972 1
< 0.1%
3971 1
< 0.1%
3970 1
< 0.1%
3969 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
안전상비의약품 판매업소
3978 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전상비의약품 판매업소
2nd row안전상비의약품 판매업소
3rd row안전상비의약품 판매업소
4th row안전상비의약품 판매업소
5th row안전상비의약품 판매업소

Common Values

ValueCountFrequency (%)
안전상비의약품 판매업소 3978
100.0%

Length

2024-04-17T10:12:47.674100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:47.751048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전상비의약품 3978
50.0%
판매업소 3978
50.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
01_01_05_P
3978 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_05_P
2nd row01_01_05_P
3rd row01_01_05_P
4th row01_01_05_P
5th row01_01_05_P

Common Values

ValueCountFrequency (%)
01_01_05_P 3978
100.0%

Length

2024-04-17T10:12:47.826944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:47.899063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_05_p 3978
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3330324.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:47.970945image/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 deviation40448.459
Coefficient of variation (CV)0.012145502
Kurtosis-0.89605909
Mean3330324.3
Median Absolute Deviation (MAD)30000
Skewness-0.033267698
Sum1.324803 × 1010
Variance1.6360779 × 109
MonotonicityNot monotonic
2024-04-17T10:12:48.064230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 496
12.5%
3330000 457
11.5%
3350000 331
 
8.3%
3340000 317
 
8.0%
3310000 282
 
7.1%
3300000 272
 
6.8%
3380000 260
 
6.5%
3390000 250
 
6.3%
3370000 250
 
6.3%
3320000 234
 
5.9%
Other values (6) 829
20.8%
ValueCountFrequency (%)
3250000 121
 
3.0%
3260000 136
 
3.4%
3270000 100
 
2.5%
3280000 98
 
2.5%
3290000 496
12.5%
3300000 272
6.8%
3310000 282
7.1%
3320000 234
5.9%
3330000 457
11.5%
3340000 317
8.0%
ValueCountFrequency (%)
3400000 209
5.3%
3390000 250
6.3%
3380000 260
6.5%
3370000 250
6.3%
3360000 165
 
4.1%
3350000 331
8.3%
3340000 317
8.0%
3330000 457
11.5%
3320000 234
5.9%
3310000 282
7.1%

관리번호
Text

UNIQUE 

Distinct3978
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2024-04-17T10:12:48.240538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters99450
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3978 ?
Unique (%)100.0%

Sample

1st rowPHMH320183250021087500009
2nd rowPHMH320183250021087500010
3rd rowPHMH320183270022087500010
4th rowPHMH320183390023087500013
5th rowPHMH320183390023087500014
ValueCountFrequency (%)
phmh320183250021087500009 1
 
< 0.1%
phmh320133370022087500014 1
 
< 0.1%
phmh320133370022087500006 1
 
< 0.1%
phmh320133370022087500020 1
 
< 0.1%
phmh320133370022087500018 1
 
< 0.1%
phmh320133370022087500007 1
 
< 0.1%
phmh320153370022087500017 1
 
< 0.1%
phmh320153370022087500018 1
 
< 0.1%
phmh320153370022087500019 1
 
< 0.1%
phmh320153370022087500021 1
 
< 0.1%
Other values (3968) 3968
99.7%
2024-04-17T10:12:48.511869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30244
30.4%
3 13160
13.2%
2 11848
 
11.9%
H 7956
 
8.0%
1 5889
 
5.9%
5 5870
 
5.9%
7 5193
 
5.2%
8 5089
 
5.1%
P 3978
 
4.0%
M 3978
 
4.0%
Other values (3) 6245
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83538
84.0%
Uppercase Letter 15912
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30244
36.2%
3 13160
15.8%
2 11848
 
14.2%
1 5889
 
7.0%
5 5870
 
7.0%
7 5193
 
6.2%
8 5089
 
6.1%
4 3585
 
4.3%
9 1504
 
1.8%
6 1156
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
H 7956
50.0%
P 3978
25.0%
M 3978
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 83538
84.0%
Latin 15912
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30244
36.2%
3 13160
15.8%
2 11848
 
14.2%
1 5889
 
7.0%
5 5870
 
7.0%
7 5193
 
6.2%
8 5089
 
6.1%
4 3585
 
4.3%
9 1504
 
1.8%
6 1156
 
1.4%
Latin
ValueCountFrequency (%)
H 7956
50.0%
P 3978
25.0%
M 3978
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30244
30.4%
3 13160
13.2%
2 11848
 
11.9%
H 7956
 
8.0%
1 5889
 
5.9%
5 5870
 
5.9%
7 5193
 
5.2%
8 5089
 
5.1%
P 3978
 
4.0%
M 3978
 
4.0%
Other values (3) 6245
 
6.3%

인허가일자
Real number (ℝ)

Distinct1469
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156036
Minimum20120113
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:48.635182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120113
5-th percentile20121109
Q120121128
median20160116
Q320180627
95-th percentile20200821
Maximum20210301
Range90188
Interquartile range (IQR)59498.75

Descriptive statistics

Standard deviation28768.862
Coefficient of variation (CV)0.0014273076
Kurtosis-1.3524886
Mean20156036
Median Absolute Deviation (MAD)29895.5
Skewness0.15774058
Sum8.018071 × 1010
Variance8.2764745 × 108
MonotonicityNot monotonic
2024-04-17T10:12:48.751722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121112 182
 
4.6%
20121109 124
 
3.1%
20121114 118
 
3.0%
20121115 117
 
2.9%
20121113 109
 
2.7%
20121116 99
 
2.5%
20121108 66
 
1.7%
20121107 45
 
1.1%
20121106 34
 
0.9%
20121110 22
 
0.6%
Other values (1459) 3062
77.0%
ValueCountFrequency (%)
20120113 1
 
< 0.1%
20120307 1
 
< 0.1%
20121031 1
 
< 0.1%
20121102 2
 
0.1%
20121105 20
 
0.5%
20121106 34
 
0.9%
20121107 45
 
1.1%
20121108 66
1.7%
20121109 124
3.1%
20121110 22
 
0.6%
ValueCountFrequency (%)
20210301 1
 
< 0.1%
20210226 1
 
< 0.1%
20210225 1
 
< 0.1%
20210224 4
0.1%
20210219 1
 
< 0.1%
20210218 1
 
< 0.1%
20210217 3
0.1%
20210216 3
0.1%
20210215 1
 
< 0.1%
20210210 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3978
Missing (%)100.0%
Memory size35.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
1
2400 
3
1570 
4
 
6
2
 
2

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 2400
60.3%
3 1570
39.5%
4 6
 
0.2%
2 2
 
0.1%

Length

2024-04-17T10:12:48.852343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:48.931710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2400
60.3%
3 1570
39.5%
4 6
 
0.2%
2 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
영업/정상
2400 
폐업
1570 
취소/말소/만료/정지/중지
 
6
휴업
 
2

Length

Max length14
Median length5
Mean length3.8280543
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 2400
60.3%
폐업 1570
39.5%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

Length

2024-04-17T10:12:49.020898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:49.108020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2400
60.3%
폐업 1570
39.5%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
13
2400 
3
1570 
24
 
6
2
 
2

Length

Max length2
Median length2
Mean length1.6048265
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 2400
60.3%
3 1570
39.5%
24 6
 
0.2%
2 2
 
0.1%

Length

2024-04-17T10:12:49.198929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:49.282146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 2400
60.3%
3 1570
39.5%
24 6
 
0.2%
2 2
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
영업중
2400 
폐업
1570 
직권폐업
 
6
휴업
 
2

Length

Max length4
Median length3
Mean length2.6063348
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 2400
60.3%
폐업 1570
39.5%
직권폐업 6
 
0.2%
휴업 2
 
0.1%

Length

2024-04-17T10:12:49.384715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:49.492596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 2400
60.3%
폐업 1570
39.5%
직권폐업 6
 
0.2%
휴업 2
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1006
Distinct (%)63.8%
Missing2402
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean20171078
Minimum20120226
Maximum20210226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:49.593287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120226
5-th percentile20130731
Q120150729
median20171212
Q320190726
95-th percentile20201026
Maximum20210226
Range90000
Interquartile range (IQR)39997.25

Descriptive statistics

Standard deviation23392.88
Coefficient of variation (CV)0.0011597238
Kurtosis-1.0489853
Mean20171078
Median Absolute Deviation (MAD)19791.5
Skewness-0.32687599
Sum3.1789619 × 1010
Variance5.4722684 × 108
MonotonicityNot monotonic
2024-04-17T10:12:49.710854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121115 8
 
0.2%
20180625 6
 
0.2%
20180430 6
 
0.2%
20161228 5
 
0.1%
20140107 5
 
0.1%
20171229 5
 
0.1%
20180628 5
 
0.1%
20180806 5
 
0.1%
20180228 5
 
0.1%
20170929 5
 
0.1%
Other values (996) 1521
38.2%
(Missing) 2402
60.4%
ValueCountFrequency (%)
20120226 1
 
< 0.1%
20121115 8
0.2%
20121116 3
 
0.1%
20121122 1
 
< 0.1%
20121127 1
 
< 0.1%
20121129 1
 
< 0.1%
20121217 1
 
< 0.1%
20121220 1
 
< 0.1%
20121221 3
 
0.1%
20121231 2
 
0.1%
ValueCountFrequency (%)
20210226 3
0.1%
20210224 4
0.1%
20210217 2
0.1%
20210210 1
 
< 0.1%
20210209 1
 
< 0.1%
20210205 1
 
< 0.1%
20210204 1
 
< 0.1%
20210129 1
 
< 0.1%
20210128 2
0.1%
20210127 2
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
<NA>
3976 
20190424
 
1
20200331
 
1

Length

Max length8
Median length4
Mean length4.0020111
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3976
99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

Length

2024-04-17T10:12:49.823879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:49.906167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3976
99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
<NA>
3976 
20211231
 
1
20210331
 
1

Length

Max length8
Median length4
Mean length4.0020111
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3976
99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

Length

2024-04-17T10:12:50.001609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:50.085912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3976
99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3978
Missing (%)100.0%
Memory size35.1 KiB

소재지전화
Text

MISSING 

Distinct1992
Distinct (%)87.8%
Missing1708
Missing (%)42.9%
Memory size31.2 KiB
2024-04-17T10:12:50.286136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.834361
Min length4

Characters and Unicode

Total characters24594
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1765 ?
Unique (%)77.8%

Sample

1st row051-231-9934
2nd row051-947-1714
3rd row051-606-0600
4th row051-631-1227
5th row051-365-0045
ValueCountFrequency (%)
051 17
 
0.7%
1577-9621 5
 
0.2%
051-741-3338 4
 
0.2%
051-805-5535 4
 
0.2%
051-342-7902 3
 
0.1%
051-704-0867 3
 
0.1%
051-758-7806 3
 
0.1%
051-363-0717 3
 
0.1%
051-723-5273 3
 
0.1%
051-516-1235 3
 
0.1%
Other values (1984) 2228
97.9%
2024-04-17T10:12:50.608858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3779
15.4%
5 3336
13.6%
1 3247
13.2%
0 3134
12.7%
2 2065
8.4%
7 1731
7.0%
3 1701
6.9%
6 1558
6.3%
8 1521
6.2%
4 1383
 
5.6%
Other values (4) 1139
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20721
84.3%
Dash Punctuation 3779
 
15.4%
Close Punctuation 79
 
0.3%
Other Punctuation 9
 
< 0.1%
Space Separator 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3336
16.1%
1 3247
15.7%
0 3134
15.1%
2 2065
10.0%
7 1731
8.4%
3 1701
8.2%
6 1558
7.5%
8 1521
7.3%
4 1383
6.7%
9 1045
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 3779
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3779
15.4%
5 3336
13.6%
1 3247
13.2%
0 3134
12.7%
2 2065
8.4%
7 1731
7.0%
3 1701
6.9%
6 1558
6.3%
8 1521
6.2%
4 1383
 
5.6%
Other values (4) 1139
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3779
15.4%
5 3336
13.6%
1 3247
13.2%
0 3134
12.7%
2 2065
8.4%
7 1731
7.0%
3 1701
6.9%
6 1558
6.3%
8 1521
6.2%
4 1383
 
5.6%
Other values (4) 1139
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3978
Missing (%)100.0%
Memory size35.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)37.3%
Missing2456
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean607309.64
Minimum46067
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:50.726074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46067
5-th percentile601808
Q1607825.25
median611817
Q3613828.75
95-th percentile616852
Maximum619963
Range573896
Interquartile range (IQR)6003.5

Descriptive statistics

Standard deviation43490.084
Coefficient of variation (CV)0.071611056
Kurtosis161.04255
Mean607309.64
Median Absolute Deviation (MAD)3012
Skewness-12.689905
Sum9.2432527 × 108
Variance1.8913874 × 109
MonotonicityNot monotonic
2024-04-17T10:12:50.835074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612821 21
 
0.5%
604851 18
 
0.5%
614847 17
 
0.4%
614846 17
 
0.4%
609837 15
 
0.4%
612842 15
 
0.4%
608811 15
 
0.4%
612847 15
 
0.4%
612836 14
 
0.4%
614803 14
 
0.4%
Other values (558) 1361
34.2%
(Missing) 2456
61.7%
ValueCountFrequency (%)
46067 1
< 0.1%
46217 1
< 0.1%
46235 1
< 0.1%
46243 1
< 0.1%
46249 1
< 0.1%
46702 1
< 0.1%
46957 1
< 0.1%
47351 1
< 0.1%
48106 1
< 0.1%
600012 1
< 0.1%
ValueCountFrequency (%)
619963 5
0.1%
619962 2
 
0.1%
619961 4
0.1%
619951 3
0.1%
619906 2
 
0.1%
619904 1
 
< 0.1%
618819 1
 
< 0.1%
618815 1
 
< 0.1%
618814 1
 
< 0.1%
618807 2
 
0.1%

소재지전체주소
Text

MISSING 

Distinct2602
Distinct (%)81.7%
Missing793
Missing (%)19.9%
Memory size31.2 KiB
2024-04-17T10:12:51.106896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length24.102355
Min length12

Characters and Unicode

Total characters76766
Distinct characters429
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

Unique2156 ?
Unique (%)67.7%

Sample

1st row부산광역시 중구 남포동5가 8번지 1호
2nd row부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트
3rd row부산광역시 동구 초량동 754번지 348호
4th row부산광역시 해운대구 중동 1400번지 24호 호텔마리안느
5th row부산광역시 남구 문현동 127번지 55호 아우성책비디오
ValueCountFrequency (%)
부산광역시 3182
 
19.4%
1호 526
 
3.2%
해운대구 436
 
2.7%
부산진구 393
 
2.4%
금정구 315
 
1.9%
동래구 269
 
1.6%
사하구 247
 
1.5%
수영구 245
 
1.5%
연제구 240
 
1.5%
남구 235
 
1.4%
Other values (2396) 10317
62.9%
2024-04-17T10:12:51.517188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13234
17.2%
산 3917
 
5.1%
부 3813
 
5.0%
동 3625
 
4.7%
1 3519
 
4.6%
광 3329
 
4.3%
시 3235
 
4.2%
구 3203
 
4.2%
역 3197
 
4.2%
지 3048
 
4.0%
Other values (419) 32646
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48378
63.0%
Decimal Number 14794
 
19.3%
Space Separator 13234
 
17.2%
Dash Punctuation 195
 
0.3%
Uppercase Letter 102
 
0.1%
Other Punctuation 22
 
< 0.1%
Math Symbol 11
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 3917
 
8.1%
부 3813
 
7.9%
동 3625
 
7.5%
광 3329
 
6.9%
시 3235
 
6.7%
구 3203
 
6.6%
역 3197
 
6.6%
지 3048
 
6.3%
번 2899
 
6.0%
호 2832
 
5.9%
Other values (376) 15280
31.6%
Uppercase Letter
ValueCountFrequency (%)
S 16
15.7%
C 12
11.8%
A 9
 
8.8%
B 8
 
7.8%
K 7
 
6.9%
D 6
 
5.9%
Y 5
 
4.9%
O 4
 
3.9%
G 4
 
3.9%
P 4
 
3.9%
Other values (10) 27
26.5%
Decimal Number
ValueCountFrequency (%)
1 3519
23.8%
2 1973
13.3%
3 1572
10.6%
4 1432
9.7%
5 1261
 
8.5%
0 1158
 
7.8%
6 1071
 
7.2%
7 1026
 
6.9%
8 922
 
6.2%
9 860
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 18
81.8%
. 2
 
9.1%
· 1
 
4.5%
& 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
72.7%
n 2
 
18.2%
k 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48378
63.0%
Common 28274
36.8%
Latin 114
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 3917
 
8.1%
부 3813
 
7.9%
동 3625
 
7.5%
광 3329
 
6.9%
시 3235
 
6.7%
구 3203
 
6.6%
역 3197
 
6.6%
지 3048
 
6.3%
번 2899
 
6.0%
호 2832
 
5.9%
Other values (376) 15280
31.6%
Latin
ValueCountFrequency (%)
S 16
14.0%
C 12
 
10.5%
A 9
 
7.9%
B 8
 
7.0%
e 8
 
7.0%
K 7
 
6.1%
D 6
 
5.3%
Y 5
 
4.4%
O 4
 
3.5%
G 4
 
3.5%
Other values (14) 35
30.7%
Common
ValueCountFrequency (%)
13234
46.8%
1 3519
 
12.4%
2 1973
 
7.0%
3 1572
 
5.6%
4 1432
 
5.1%
5 1261
 
4.5%
0 1158
 
4.1%
6 1071
 
3.8%
7 1026
 
3.6%
8 922
 
3.3%
Other values (9) 1106
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48378
63.0%
ASCII 28386
37.0%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13234
46.6%
1 3519
 
12.4%
2 1973
 
7.0%
3 1572
 
5.5%
4 1432
 
5.0%
5 1261
 
4.4%
0 1158
 
4.1%
6 1071
 
3.8%
7 1026
 
3.6%
8 922
 
3.2%
Other values (31) 1218
 
4.3%
Hangul
ValueCountFrequency (%)
산 3917
 
8.1%
부 3813
 
7.9%
동 3625
 
7.5%
광 3329
 
6.9%
시 3235
 
6.7%
구 3203
 
6.6%
역 3197
 
6.6%
지 3048
 
6.3%
번 2899
 
6.0%
호 2832
 
5.9%
Other values (376) 15280
31.6%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

Distinct3360
Distinct (%)84.5%
Missing2
Missing (%)0.1%
Memory size31.2 KiB
2024-04-17T10:12:51.805093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length56
Mean length30.114688
Min length19

Characters and Unicode

Total characters119736
Distinct characters504
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2873 ?
Unique (%)72.3%

Sample

1st row부산광역시 중구 구덕로 54-1, 포레호텔 1층 (남포동5가)
2nd row부산광역시 중구 대청로 121-1 (대청동1가, 코모도에스테이트)
3rd row부산광역시 동구 망양로 608, 2층 (초량동)
4th row부산광역시 사상구 광장로104번길 19 (괘법동)
5th row부산광역시 사상구 낙동대로 988 (감전동)
ValueCountFrequency (%)
부산광역시 3975
 
17.1%
1층 650
 
2.8%
부산진구 496
 
2.1%
해운대구 456
 
2.0%
금정구 331
 
1.4%
사하구 317
 
1.4%
남구 281
 
1.2%
동래구 272
 
1.2%
수영구 260
 
1.1%
연제구 250
 
1.1%
Other values (3456) 15896
68.6%
2024-04-17T10:12:52.223801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19208
 
16.0%
동 5076
 
4.2%
1 5073
 
4.2%
산 4995
 
4.2%
부 4839
 
4.0%
광 4305
 
3.6%
시 4220
 
3.5%
구 4016
 
3.4%
역 3998
 
3.3%
로 3938
 
3.3%
Other values (494) 60068
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71336
59.6%
Space Separator 19208
 
16.0%
Decimal Number 18378
 
15.3%
Close Punctuation 3834
 
3.2%
Open Punctuation 3834
 
3.2%
Other Punctuation 2470
 
2.1%
Dash Punctuation 419
 
0.3%
Uppercase Letter 210
 
0.2%
Lowercase Letter 23
 
< 0.1%
Math Symbol 22
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5076
 
7.1%
산 4995
 
7.0%
부 4839
 
6.8%
광 4305
 
6.0%
시 4220
 
5.9%
구 4016
 
5.6%
역 3998
 
5.6%
로 3938
 
5.5%
대 2021
 
2.8%
길 1582
 
2.2%
Other values (442) 32346
45.3%
Uppercase Letter
ValueCountFrequency (%)
B 38
18.1%
A 26
12.4%
S 25
11.9%
C 19
 
9.0%
K 10
 
4.8%
D 10
 
4.8%
I 9
 
4.3%
H 8
 
3.8%
G 7
 
3.3%
W 7
 
3.3%
Other values (12) 51
24.3%
Decimal Number
ValueCountFrequency (%)
1 5073
27.6%
2 2526
13.7%
0 2021
 
11.0%
3 1788
 
9.7%
4 1465
 
8.0%
5 1274
 
6.9%
6 1187
 
6.5%
7 1110
 
6.0%
9 989
 
5.4%
8 945
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 13
56.5%
n 3
 
13.0%
k 1
 
4.3%
o 1
 
4.3%
d 1
 
4.3%
a 1
 
4.3%
y 1
 
4.3%
v 1
 
4.3%
l 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2462
99.7%
. 4
 
0.2%
· 3
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
19208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3834
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3834
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 419
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71336
59.6%
Common 48166
40.2%
Latin 234
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5076
 
7.1%
산 4995
 
7.0%
부 4839
 
6.8%
광 4305
 
6.0%
시 4220
 
5.9%
구 4016
 
5.6%
역 3998
 
5.6%
로 3938
 
5.5%
대 2021
 
2.8%
길 1582
 
2.2%
Other values (442) 32346
45.3%
Latin
ValueCountFrequency (%)
B 38
16.2%
A 26
 
11.1%
S 25
 
10.7%
C 19
 
8.1%
e 13
 
5.6%
K 10
 
4.3%
D 10
 
4.3%
I 9
 
3.8%
H 8
 
3.4%
G 7
 
3.0%
Other values (22) 69
29.5%
Common
ValueCountFrequency (%)
19208
39.9%
1 5073
 
10.5%
) 3834
 
8.0%
( 3834
 
8.0%
2 2526
 
5.2%
, 2462
 
5.1%
0 2021
 
4.2%
3 1788
 
3.7%
4 1465
 
3.0%
5 1274
 
2.6%
Other values (10) 4681
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71336
59.6%
ASCII 48396
40.4%
None 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19208
39.7%
1 5073
 
10.5%
) 3834
 
7.9%
( 3834
 
7.9%
2 2526
 
5.2%
, 2462
 
5.1%
0 2021
 
4.2%
3 1788
 
3.7%
4 1465
 
3.0%
5 1274
 
2.6%
Other values (40) 4911
 
10.1%
Hangul
ValueCountFrequency (%)
동 5076
 
7.1%
산 4995
 
7.0%
부 4839
 
6.8%
광 4305
 
6.0%
시 4220
 
5.9%
구 4016
 
5.6%
역 3998
 
5.6%
로 3938
 
5.5%
대 2021
 
2.8%
길 1582
 
2.2%
Other values (442) 32346
45.3%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct1543
Distinct (%)38.8%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean106476.75
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:52.334511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46213
Q147007
median47894.5
Q348939
95-th percentile612821
Maximum619963
Range573961
Interquartile range (IQR)1932

Descriptive statistics

Standard deviation172299.72
Coefficient of variation (CV)1.618191
Kurtosis4.7244344
Mean106476.75
Median Absolute Deviation (MAD)919.5
Skewness2.5923564
Sum4.2313861 × 108
Variance2.9687193 × 1010
MonotonicityNot monotonic
2024-04-17T10:12:52.441872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 32
 
0.8%
48094 26
 
0.7%
46759 21
 
0.5%
48059 20
 
0.5%
48095 17
 
0.4%
47520 17
 
0.4%
48099 17
 
0.4%
48953 16
 
0.4%
47296 15
 
0.4%
47209 15
 
0.4%
Other values (1533) 3778
95.0%
ValueCountFrequency (%)
46002 2
 
0.1%
46007 4
 
0.1%
46008 9
0.2%
46009 1
 
< 0.1%
46010 1
 
< 0.1%
46012 2
 
0.1%
46013 5
0.1%
46014 1
 
< 0.1%
46015 12
0.3%
46016 4
 
0.1%
ValueCountFrequency (%)
619963 5
0.1%
619962 2
 
0.1%
619961 3
0.1%
619952 2
 
0.1%
619951 1
 
< 0.1%
619913 1
 
< 0.1%
619906 1
 
< 0.1%
619905 3
0.1%
619904 1
 
< 0.1%
619903 1
 
< 0.1%

사업장명
Text

Distinct3462
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2024-04-17T10:12:52.709058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.30367
Min length2

Characters and Unicode

Total characters40988
Distinct characters511
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

Unique3051 ?
Unique (%)76.7%

Sample

1st row씨유 부산포레호텔점
2nd row세븐일레븐 부산코모도점
3rd row씨유 초량망양로점
4th row이마트24사상중앙점
5th row씨유감전낙동대로점
ValueCountFrequency (%)
gs25 561
 
8.6%
씨유 550
 
8.4%
세븐일레븐 394
 
6.0%
미니스톱 230
 
3.5%
cu 149
 
2.3%
주)코리아세븐 134
 
2.0%
지에스(gs)25 120
 
1.8%
지에스25 81
 
1.2%
이마트24 56
 
0.9%
씨스페이스 22
 
0.3%
Other values (3252) 4244
64.9%
2024-04-17T10:12:53.330229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3807
 
9.3%
2564
 
6.3%
2 1482
 
3.6%
5 1319
 
3.2%
븐 1275
 
3.1%
산 1189
 
2.9%
S 1187
 
2.9%
G 1153
 
2.8%
씨 1089
 
2.7%
유 1083
 
2.6%
Other values (501) 24840
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31545
77.0%
Decimal Number 2961
 
7.2%
Uppercase Letter 2947
 
7.2%
Space Separator 2564
 
6.3%
Close Punctuation 462
 
1.1%
Open Punctuation 460
 
1.1%
Lowercase Letter 40
 
0.1%
Other Punctuation 5
 
< 0.1%
Other Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3807
 
12.1%
븐 1275
 
4.0%
산 1189
 
3.8%
씨 1089
 
3.5%
유 1083
 
3.4%
부 1077
 
3.4%
스 893
 
2.8%
세 753
 
2.4%
일 743
 
2.4%
대 658
 
2.1%
Other values (457) 18978
60.2%
Uppercase Letter
ValueCountFrequency (%)
S 1187
40.3%
G 1153
39.1%
C 258
 
8.8%
U 255
 
8.7%
K 36
 
1.2%
N 10
 
0.3%
R 10
 
0.3%
H 8
 
0.3%
L 7
 
0.2%
B 5
 
0.2%
Other values (7) 18
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 1482
50.1%
5 1319
44.5%
4 115
 
3.9%
3 20
 
0.7%
1 18
 
0.6%
0 2
 
0.1%
6 2
 
0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
u 8
20.0%
c 8
20.0%
e 6
15.0%
m 4
10.0%
a 4
10.0%
t 3
 
7.5%
r 3
 
7.5%
l 2
 
5.0%
o 1
 
2.5%
i 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
2564
100.0%
Close Punctuation
ValueCountFrequency (%)
) 462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 460
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31547
77.0%
Common 6454
 
15.7%
Latin 2987
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3807
 
12.1%
븐 1275
 
4.0%
산 1189
 
3.8%
씨 1089
 
3.5%
유 1083
 
3.4%
부 1077
 
3.4%
스 893
 
2.8%
세 753
 
2.4%
일 743
 
2.4%
대 658
 
2.1%
Other values (458) 18980
60.2%
Latin
ValueCountFrequency (%)
S 1187
39.7%
G 1153
38.6%
C 258
 
8.6%
U 255
 
8.5%
K 36
 
1.2%
N 10
 
0.3%
R 10
 
0.3%
H 8
 
0.3%
u 8
 
0.3%
c 8
 
0.3%
Other values (17) 54
 
1.8%
Common
ValueCountFrequency (%)
2564
39.7%
2 1482
23.0%
5 1319
20.4%
) 462
 
7.2%
( 460
 
7.1%
4 115
 
1.8%
3 20
 
0.3%
1 18
 
0.3%
. 3
 
< 0.1%
0 2
 
< 0.1%
Other values (6) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31544
77.0%
ASCII 9441
 
23.0%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3807
 
12.1%
븐 1275
 
4.0%
산 1189
 
3.8%
씨 1089
 
3.5%
유 1083
 
3.4%
부 1077
 
3.4%
스 893
 
2.8%
세 753
 
2.4%
일 743
 
2.4%
대 658
 
2.1%
Other values (456) 18977
60.2%
ASCII
ValueCountFrequency (%)
2564
27.2%
2 1482
15.7%
5 1319
14.0%
S 1187
12.6%
G 1153
12.2%
) 462
 
4.9%
( 460
 
4.9%
C 258
 
2.7%
U 255
 
2.7%
4 115
 
1.2%
Other values (33) 186
 
2.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct3978
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172052 × 1013
Minimum2.0130712 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:53.446477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130712 × 1013
5-th percentile2.013082 × 1013
Q12.0150909 × 1013
median2.0171212 × 1013
Q32.0190983 × 1013
95-th percentile2.0201102 × 1013
Maximum2.0210226 × 1013
Range7.9514082 × 1010
Interquartile range (IQR)4.0073991 × 1010

Descriptive statistics

Standard deviation2.3629816 × 1010
Coefficient of variation (CV)0.0011714136
Kurtosis-1.1251556
Mean2.0172052 × 1013
Median Absolute Deviation (MAD)1.9812051 × 1010
Skewness-0.31873744
Sum8.0244422 × 1016
Variance5.583682 × 1020
MonotonicityNot monotonic
2024-04-17T10:12:53.572579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181102155609 1
 
< 0.1%
20181228101608 1
 
< 0.1%
20170912133942 1
 
< 0.1%
20190906181807 1
 
< 0.1%
20181128095813 1
 
< 0.1%
20160808092834 1
 
< 0.1%
20180830143531 1
 
< 0.1%
20191217104306 1
 
< 0.1%
20160125131521 1
 
< 0.1%
20190816175753 1
 
< 0.1%
Other values (3968) 3968
99.7%
ValueCountFrequency (%)
20130712102308 1
< 0.1%
20130712102831 1
< 0.1%
20130712103149 1
< 0.1%
20130712104533 1
< 0.1%
20130712110216 1
< 0.1%
20130712112556 1
< 0.1%
20130712133251 1
< 0.1%
20130712134749 1
< 0.1%
20130712152901 1
< 0.1%
20130712155855 1
< 0.1%
ValueCountFrequency (%)
20210226183821 1
< 0.1%
20210226183658 1
< 0.1%
20210226173813 1
< 0.1%
20210226151040 1
< 0.1%
20210226130332 1
< 0.1%
20210226112029 1
< 0.1%
20210225161120 1
< 0.1%
20210225091434 1
< 0.1%
20210224174932 1
< 0.1%
20210224174651 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
I
3063 
U
915 

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 3063
77.0%
U 915
 
23.0%

Length

2024-04-17T10:12:53.684107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:53.763227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3063
77.0%
u 915
 
23.0%

데이터갱신일자
Date

Distinct828
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-17T10:12:53.851457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:12:53.961336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3978
Missing (%)100.0%
Memory size35.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2751
Distinct (%)70.2%
Missing59
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean388061.17
Minimum204412.09
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:54.076651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204412.09
5-th percentile378918.18
Q1383931.26
median388629.45
Q3391922.62
95-th percentile398363.11
Maximum407507.94
Range203095.85
Interquartile range (IQR)7991.3562

Descriptive statistics

Standard deviation6985.5724
Coefficient of variation (CV)0.018001215
Kurtosis121.51873
Mean388061.17
Median Absolute Deviation (MAD)3813.62
Skewness-4.8047168
Sum1.5208117 × 109
Variance48798222
MonotonicityNot monotonic
2024-04-17T10:12:54.212383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395164.437852508 8
 
0.2%
397340.061979116 7
 
0.2%
394189.376691755 6
 
0.2%
392515.689667818 6
 
0.2%
384022.032307615 6
 
0.2%
392084.650637222 6
 
0.2%
385162.074244978 5
 
0.1%
398377.77044139 5
 
0.1%
388108.400015482 5
 
0.1%
390160.598018585 5
 
0.1%
Other values (2741) 3860
97.0%
(Missing) 59
 
1.5%
ValueCountFrequency (%)
204412.090101 1
< 0.1%
364927.696730227 1
< 0.1%
365435.915352944 1
< 0.1%
365516.723543485 1
< 0.1%
366543.906759876 2
0.1%
366621.372636583 2
0.1%
366799.216536177 1
< 0.1%
366968.227030643 1
< 0.1%
367051.926419356 1
< 0.1%
367076.803601292 2
0.1%
ValueCountFrequency (%)
407507.938658253 1
< 0.1%
407446.416940698 1
< 0.1%
407395.443826031 1
< 0.1%
407264.362203548 1
< 0.1%
407053.470375168 1
< 0.1%
405385.675629727 2
0.1%
404398.60483132 1
< 0.1%
404248.383702356 2
0.1%
404100.735621822 2
0.1%
403987.053318853 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2753
Distinct (%)70.2%
Missing59
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean187355.89
Minimum169703.39
Maximum445110.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:54.339867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile177979.63
Q1183481.94
median186911.12
Q3190995.87
95-th percentile197716.04
Maximum445110.29
Range275406.89
Interquartile range (IQR)7513.9241

Descriptive statistics

Standard deviation7370.6308
Coefficient of variation (CV)0.039340267
Kurtosis380.97455
Mean187355.89
Median Absolute Deviation (MAD)3858.9046
Skewness11.194181
Sum7.3424774 × 108
Variance54326198
MonotonicityNot monotonic
2024-04-17T10:12:54.446070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186231.014715022 8
 
0.2%
186699.763267637 7
 
0.2%
187747.442298015 6
 
0.2%
185058.950891149 6
 
0.2%
183481.94111857 6
 
0.2%
186104.560408303 6
 
0.2%
180641.949630785 5
 
0.1%
191580.315413684 5
 
0.1%
195962.772087494 5
 
0.1%
196112.065133691 5
 
0.1%
Other values (2743) 3860
97.0%
(Missing) 59
 
1.5%
ValueCountFrequency (%)
169703.393912171 1
< 0.1%
170813.584718477 1
< 0.1%
171651.683726624 1
< 0.1%
171677.306052053 1
< 0.1%
173751.794345377 1
< 0.1%
173895.655729558 1
< 0.1%
173982.009447475 1
< 0.1%
174087.295724335 1
< 0.1%
174289.976688419 2
0.1%
174422.33798988 1
< 0.1%
ValueCountFrequency (%)
445110.286986 1
< 0.1%
211459.001777975 2
0.1%
210945.104382171 2
0.1%
208906.876551 1
< 0.1%
206821.489013 1
< 0.1%
206576.725149 1
< 0.1%
206512.517255249 1
< 0.1%
206426.679067 2
0.1%
206423.253753 2
0.1%
206319.0 2
0.1%

판매점영업면적
Real number (ℝ)

MISSING  SKEWED 

Distinct602
Distinct (%)22.8%
Missing1333
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean74.903527
Minimum3
Maximum4038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2024-04-17T10:12:54.562437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33
Q149.5
median66
Q388
95-th percentile133.306
Maximum4038
Range4035
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation88.029397
Coefficient of variation (CV)1.175237
Kurtosis1559.6442
Mean74.903527
Median Absolute Deviation (MAD)16.5
Skewness35.239588
Sum198119.83
Variance7749.1748
MonotonicityNot monotonic
2024-04-17T10:12:54.679548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 227
 
5.7%
49.5 197
 
5.0%
99.0 91
 
2.3%
82.5 70
 
1.8%
33.0 69
 
1.7%
59.4 54
 
1.4%
60.0 52
 
1.3%
50.0 44
 
1.1%
100.0 40
 
1.0%
132.0 36
 
0.9%
Other values (592) 1765
44.4%
(Missing) 1333
33.5%
ValueCountFrequency (%)
3.0 1
 
< 0.1%
3.3 7
0.2%
3.5 4
0.1%
4.85 1
 
< 0.1%
5.4 1
 
< 0.1%
6.6 3
0.1%
13.2 1
 
< 0.1%
15.0 1
 
< 0.1%
16.12 1
 
< 0.1%
16.5 4
0.1%
ValueCountFrequency (%)
4038.0 1
< 0.1%
965.24 1
< 0.1%
624.0 1
< 0.1%
605.15 1
< 0.1%
410.24 1
< 0.1%
405.38 1
< 0.1%
363.54 1
< 0.1%
329.9 1
< 0.1%
317.0 1
< 0.1%
300.0 1
< 0.1%

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3978
Missing (%)100.0%
Memory size35.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)판매점영업면적Unnamed: 29
01안전상비의약품 판매업소01_01_05_P3250000PHMH32018325002108750000920181102<NA>1영업/정상13영업중<NA><NA><NA><NA>051-231-9934<NA><NA>부산광역시 중구 남포동5가 8번지 1호부산광역시 중구 구덕로 54-1, 포레호텔 1층 (남포동5가)48953씨유 부산포레호텔점20181102155609I2018-11-04 02:35:42.0<NA>385007.01793179584.983851<NA><NA>
12안전상비의약품 판매업소01_01_05_P3250000PHMH32018325002108750001020181102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트부산광역시 중구 대청로 121-1 (대청동1가, 코모도에스테이트)48932세븐일레븐 부산코모도점20181102155656I2018-11-04 02:35:42.0<NA>385306.698877180120.93947142.97<NA>
23안전상비의약품 판매업소01_01_05_P3270000PHMH32018327002208750001020181129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 초량동 754번지 348호부산광역시 동구 망양로 608, 2층 (초량동)48804씨유 초량망양로점20181129175529I2018-12-01 02:20:16.0<NA>385413.989519182484.16715899.17<NA>
34안전상비의약품 판매업소01_01_05_P3390000PHMH32018339002308750001320181105<NA>1영업/정상13영업중<NA><NA><NA><NA>051-947-1714<NA><NA><NA>부산광역시 사상구 광장로104번길 19 (괘법동)46975이마트24사상중앙점20181105151505I2018-11-07 02:35:49.0<NA>381097.752484186478.01777466.0<NA>
45안전상비의약품 판매업소01_01_05_P3390000PHMH32018339002308750001420181105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 낙동대로 988 (감전동)47027씨유감전낙동대로점20181105152214I2018-11-07 02:35:49.0<NA>379583.561299185046.937252<NA><NA>
56안전상비의약품 판매업소01_01_05_P3330000PHMH32018333002408750003720181204<NA>1영업/정상13영업중<NA><NA><NA><NA>051-606-0600<NA><NA>부산광역시 해운대구 중동 1400번지 24호 호텔마리안느부산광역시 해운대구 해운대해변로 310, 호텔마리안느 1층 (중동)48099세븐일레븐 마리안느호텔점20181210103640U2018-12-12 02:40:00.0<NA>397159.99915186843.66826666.0<NA>
67안전상비의약품 판매업소01_01_05_P3310000PHMH32018331002408750002620181227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 문현동 127번지 55호 아우성책비디오부산광역시 남구 고동골로 70, 아우성책비디오 (문현동)48416씨유 문현블루점20181227091255I2018-12-29 02:20:32.0<NA>388699.463957184649.84783959.19<NA>
78안전상비의약품 판매업소01_01_05_P3290000PHMH32018329002408750003820181227<NA>1영업/정상13영업중<NA><NA><NA><NA>051-631-1227<NA><NA>부산광역시 부산진구 범천동 847번지 15호부산광역시 부산진구 범일로 166, 1층 (범천동)47361씨유범천황실점20181227131616I2018-12-29 02:20:32.0<NA>387625.004445184788.41236436.3<NA>
89안전상비의약품 판매업소01_01_05_P3290000PHMH32018329002408750003920181227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부암동 345번지 47호부산광역시 부산진구 동평로 113, 1층 (부암동)47138씨유부암동평로점20181227132558I2018-12-29 02:20:32.0<NA>385962.318694187134.3076549.5<NA>
910안전상비의약품 판매업소01_01_05_P3260000PHMH32018326002208750001420181226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 서대신동2가 270번지 보람더하임아파트부산광역시 서구 대영로 24, 102동 101호 (서대신동2가, 보람더하임아파트)49228씨유서구보람점20181227105359I2018-12-29 02:20:32.0<NA>383553.685366180798.992049<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)판매점영업면적Unnamed: 29
39683969안전상비의약품 판매업소01_01_05_P3310000PHMH32018331002408750002420181025<NA>3폐업3폐업20210217<NA><NA><NA><NA><NA><NA>부산광역시 남구 용호동 957번지 1호 힐탑탑플레이스부산광역시 남구 분포로 115, 힐탑탑플레이스 A동 1층 6호 (용호동)48515세븐일레븐 부산용호힐탑점20210217131946U2021-02-19 02:40:00.0<NA>392515.689668183481.94111933.0<NA>
39693970안전상비의약품 판매업소01_01_05_P3370000PHMH32018337002208750002220181018<NA>3폐업3폐업20200506<NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 587번지 4호 연산동 에스케이 뷰부산광역시 연제구 중앙대로1124번길 15, 2동 2호 (연산동, 연산동 에스케이 뷰)47520GS25연산SK점20200506164411U2020-05-08 02:40:00.0<NA>389562.757251189694.762077<NA><NA>
39703971안전상비의약품 판매업소01_01_05_P3340000PHMH32018334002508750003120181109<NA>3폐업3폐업20190919<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 제석로18번길 77 (당리동)49411지에스(GS)25당리제석로점20190919162252U2019-09-21 02:40:00.0<NA>380025.706359179942.17283446.2<NA>
39713972안전상비의약품 판매업소01_01_05_P3290000PHMH32018329002408750003420181106<NA>3폐업3폐업20190513<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 361번지 1호부산광역시 부산진구 양지로11번길 16 (양정동)47229미니스톱 양정원룸점20190514114123U2019-05-16 02:40:00.0<NA>388551.555118187567.403851140.0<NA>
39723973안전상비의약품 판매업소01_01_05_P3360000PHMH32018336002408750001620181224<NA>3폐업3폐업20190828<NA><NA><NA>02-6916-1500<NA><NA>부산광역시 강서구 명지동 3357번지 6호부산광역시 강서구 명지국제8로 243, 에이스프라자 110호 (명지동)46726이마트24R명지국제신도시점20190829090843U2019-08-31 02:40:00.0<NA>374957.728281179392.378114105.0<NA>
39733974안전상비의약품 판매업소01_01_05_P3350000PHMH32018335002408750002920181126<NA>3폐업3폐업20190422<NA><NA><NA><NA><NA><NA>부산광역시 금정구 장전동 388번지 14호부산광역시 금정구 금강로279번길 2, 1층 (장전동)46286씨유 부산대행운점20190422162527U2019-04-24 02:40:00.0<NA>389778.890482194651.812459<NA><NA>
39743975안전상비의약품 판매업소01_01_05_P3390000PHMH32018339002308750001520181120<NA>3폐업3폐업20201103<NA><NA><NA>051-819-2482<NA><NA><NA>부산광역시 사상구 냉정로 117 (주례동)47006이마트24부산동서대점20201103182020U2020-11-05 02:40:00.0<NA>383355.94497185254.91908269.66<NA>
39753976안전상비의약품 판매업소01_01_05_P3360000PHMH32018336002408750001520181217<NA>3폐업3폐업20191010<NA><NA><NA>051-831-5398<NA><NA>부산광역시 강서구 신호동 298번지 1호 부산신호사랑으로부영2차부산광역시 강서구 신호산단4로 27, 1층 101호 (신호동, 부산신호사랑으로부영2차)46760씨유 신호부영사랑점20191014093420U2019-10-16 02:40:00.0<NA>370949.593168177996.738324<NA><NA>
39763977안전상비의약품 판매업소01_01_05_P3350000PHMH32018335002408750001120180420<NA>2휴업2휴업<NA>2019042420211231<NA><NA><NA><NA>부산광역시 금정구 장전동 717번지 벽산블루밍디자인시티부산광역시 금정구 금강로 225, 2동 1층 202호 (장전동, 벽산블루밍디자인시티)46294이마트24 장전블루밍점20190423154759U2019-04-25 02:40:00.0<NA>389413.963613194175.406418<NA><NA>
39773978안전상비의약품 판매업소01_01_05_P3340000PHMH32018334002508750001020180219<NA>2휴업2휴업<NA>2020033120210331<NA><NA><NA><NA><NA>부산광역시 사하구 승학로 20, 1층 (당리동)49326미니스톱부산당리점20200331101514U2020-04-02 02:40:00.0<NA>379613.781262180391.41125666.0<NA>