Overview

Dataset statistics

Number of variables30
Number of observations4050
Missing cells29272
Missing cells (%)24.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory259.0 B

Variable types

Numeric10
Categorical9
Text5
Unsupported5
DateTime1

Dataset

Description2021-06-01
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 (50.5%)Imbalance
영업상태명 is highly imbalanced (50.5%)Imbalance
상세영업상태코드 is highly imbalanced (50.5%)Imbalance
상세영업상태명 is highly imbalanced (50.5%)Imbalance
휴업시작일자 is highly imbalanced (99.6%)Imbalance
휴업종료일자 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 4050 (100.0%) missing valuesMissing
폐업일자 has 2433 (60.1%) missing valuesMissing
재개업일자 has 4050 (100.0%) missing valuesMissing
소재지전화 has 1771 (43.7%) missing valuesMissing
소재지면적 has 4050 (100.0%) missing valuesMissing
소재지우편번호 has 2531 (62.5%) missing valuesMissing
소재지전체주소 has 800 (19.8%) missing valuesMissing
업태구분명 has 4050 (100.0%) missing valuesMissing
좌표정보(x) has 62 (1.5%) missing valuesMissing
좌표정보(y) has 62 (1.5%) missing valuesMissing
판매점영업면적 has 1357 (33.5%) missing valuesMissing
Unnamed: 29 has 4050 (100.0%) missing valuesMissing
판매점영업면적 is highly skewed (γ1 = 35.43318457)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 01:12:24.756484
Analysis finished2024-04-17 01:12:25.771966
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4050
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2025.5
Minimum1
Maximum4050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:25.828307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile203.45
Q11013.25
median2025.5
Q33037.75
95-th percentile3847.55
Maximum4050
Range4049
Interquartile range (IQR)2024.5

Descriptive statistics

Standard deviation1169.2786
Coefficient of variation (CV)0.577279
Kurtosis-1.2
Mean2025.5
Median Absolute Deviation (MAD)1012.5
Skewness0
Sum8203275
Variance1367212.5
MonotonicityStrictly increasing
2024-04-17T10:12:25.937756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2707 1
 
< 0.1%
2694 1
 
< 0.1%
2695 1
 
< 0.1%
2696 1
 
< 0.1%
2697 1
 
< 0.1%
2698 1
 
< 0.1%
2699 1
 
< 0.1%
2700 1
 
< 0.1%
2701 1
 
< 0.1%
Other values (4040) 4040
99.8%
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 (%)
4050 1
< 0.1%
4049 1
< 0.1%
4048 1
< 0.1%
4047 1
< 0.1%
4046 1
< 0.1%
4045 1
< 0.1%
4044 1
< 0.1%
4043 1
< 0.1%
4042 1
< 0.1%
4041 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
안전상비의약품 판매업소
4050 

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 4050
100.0%

Length

2024-04-17T10:12:26.044067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:26.123675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전상비의약품 4050
50.0%
판매업소 4050
50.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
01_01_05_P
4050 

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 4050
100.0%

Length

2024-04-17T10:12:26.200816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:26.293938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_05_p 4050
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3330288.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:26.385122image/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 deviation40471.908
Coefficient of variation (CV)0.012152672
Kurtosis-0.89732909
Mean3330288.9
Median Absolute Deviation (MAD)30000
Skewness-0.033915484
Sum1.348767 × 1010
Variance1.6379753 × 109
MonotonicityNot monotonic
2024-04-17T10:12:26.480236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 507
12.5%
3330000 463
11.4%
3350000 334
 
8.2%
3340000 321
 
7.9%
3310000 288
 
7.1%
3300000 276
 
6.8%
3380000 270
 
6.7%
3370000 254
 
6.3%
3390000 252
 
6.2%
3320000 241
 
6.0%
Other values (6) 844
20.8%
ValueCountFrequency (%)
3250000 125
 
3.1%
3260000 138
 
3.4%
3270000 102
 
2.5%
3280000 98
 
2.4%
3290000 507
12.5%
3300000 276
6.8%
3310000 288
7.1%
3320000 241
6.0%
3330000 463
11.4%
3340000 321
7.9%
ValueCountFrequency (%)
3400000 212
5.2%
3390000 252
6.2%
3380000 270
6.7%
3370000 254
6.3%
3360000 169
 
4.2%
3350000 334
8.2%
3340000 321
7.9%
3330000 463
11.4%
3320000 241
6.0%
3310000 288
7.1%

관리번호
Text

UNIQUE 

Distinct4050
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
2024-04-17T10:12:26.889459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters101250
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

Unique4050 ?
Unique (%)100.0%

Sample

1st rowPHMH320183250021087500009
2nd rowPHMH320183250021087500010
3rd rowPHMH320183270022087500010
4th rowPHMH320183390023087500013
5th rowPHMH320183390023087500014
ValueCountFrequency (%)
phmh320183250021087500009 1
 
< 0.1%
phmh320163370022087500020 1
 
< 0.1%
phmh320153370022087500022 1
 
< 0.1%
phmh320163370022087500035 1
 
< 0.1%
phmh320153370022087500023 1
 
< 0.1%
phmh320153370022087500024 1
 
< 0.1%
phmh320163370022087500001 1
 
< 0.1%
phmh320133370022087500009 1
 
< 0.1%
phmh320133370022087500014 1
 
< 0.1%
phmh320133370022087500016 1
 
< 0.1%
Other values (4040) 4040
99.8%
2024-04-17T10:12:27.166986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30814
30.4%
3 13384
13.2%
2 12095
 
11.9%
H 8100
 
8.0%
1 5993
 
5.9%
5 5970
 
5.9%
7 5278
 
5.2%
8 5177
 
5.1%
P 4050
 
4.0%
M 4050
 
4.0%
Other values (3) 6339
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85050
84.0%
Uppercase Letter 16200
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30814
36.2%
3 13384
15.7%
2 12095
 
14.2%
1 5993
 
7.0%
5 5970
 
7.0%
7 5278
 
6.2%
8 5177
 
6.1%
4 3644
 
4.3%
9 1524
 
1.8%
6 1171
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
H 8100
50.0%
P 4050
25.0%
M 4050
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85050
84.0%
Latin 16200
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30814
36.2%
3 13384
15.7%
2 12095
 
14.2%
1 5993
 
7.0%
5 5970
 
7.0%
7 5278
 
6.2%
8 5177
 
6.1%
4 3644
 
4.3%
9 1524
 
1.8%
6 1171
 
1.4%
Latin
ValueCountFrequency (%)
H 8100
50.0%
P 4050
25.0%
M 4050
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30814
30.4%
3 13384
13.2%
2 12095
 
11.9%
H 8100
 
8.0%
1 5993
 
5.9%
5 5970
 
5.9%
7 5278
 
5.2%
8 5177
 
5.1%
P 4050
 
4.0%
M 4050
 
4.0%
Other values (3) 6339
 
6.3%

인허가일자
Real number (ℝ)

Distinct1504
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20157002
Minimum20120113
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:27.293916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120113
5-th percentile20121109
Q120121208
median20160223
Q320180824
95-th percentile20201015
Maximum20210430
Range90317
Interquartile range (IQR)59616.25

Descriptive statistics

Standard deviation29402.045
Coefficient of variation (CV)0.0014586517
Kurtosis-1.3367474
Mean20157002
Median Absolute Deviation (MAD)29998
Skewness0.15874153
Sum8.1635857 × 1010
Variance8.6448027 × 108
MonotonicityNot monotonic
2024-04-17T10:12:27.406394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121112 182
 
4.5%
20121109 124
 
3.1%
20121114 118
 
2.9%
20121115 117
 
2.9%
20121113 109
 
2.7%
20121116 99
 
2.4%
20121108 66
 
1.6%
20121107 45
 
1.1%
20121106 34
 
0.8%
20121110 22
 
0.5%
Other values (1494) 3134
77.4%
ValueCountFrequency (%)
20120113 1
 
< 0.1%
20120307 1
 
< 0.1%
20121031 1
 
< 0.1%
20121102 2
 
< 0.1%
20121105 20
 
0.5%
20121106 34
 
0.8%
20121107 45
 
1.1%
20121108 66
1.6%
20121109 124
3.1%
20121110 22
 
0.5%
ValueCountFrequency (%)
20210430 2
< 0.1%
20210429 4
0.1%
20210428 2
< 0.1%
20210427 3
0.1%
20210426 1
 
< 0.1%
20210422 3
0.1%
20210421 2
< 0.1%
20210420 3
0.1%
20210419 1
 
< 0.1%
20210416 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4050
Missing (%)100.0%
Memory size35.7 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
1
2431 
3
1611 
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 2431
60.0%
3 1611
39.8%
4 6
 
0.1%
2 2
 
< 0.1%

Length

2024-04-17T10:12:27.508110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:27.606445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2431
60.0%
3 1611
39.8%
4 6
 
0.1%
2 2
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
영업/정상
2431 
폐업
1611 
취소/말소/만료/정지/중지
 
6
휴업
 
2

Length

Max length14
Median length5
Mean length3.8185185
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 2431
60.0%
폐업 1611
39.8%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 2
 
< 0.1%

Length

2024-04-17T10:12:27.714705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:27.800756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2431
60.0%
폐업 1611
39.8%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
13
2431 
3
1611 
24
 
6
2
 
2

Length

Max length2
Median length2
Mean length1.6017284
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 2431
60.0%
3 1611
39.8%
24 6
 
0.1%
2 2
 
< 0.1%

Length

2024-04-17T10:12:27.894241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:27.980009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 2431
60.0%
3 1611
39.8%
24 6
 
0.1%
2 2
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
영업중
2431 
폐업
1611 
직권폐업
 
6
휴업
 
2

Length

Max length4
Median length3
Mean length2.6032099
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 2431
60.0%
폐업 1611
39.8%
직권폐업 6
 
0.1%
휴업 2
 
< 0.1%

Length

2024-04-17T10:12:28.079429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:28.191304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 2431
60.0%
폐업 1611
39.8%
직권폐업 6
 
0.1%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1031
Distinct (%)63.8%
Missing2433
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean20172062
Minimum20120226
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:28.301237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120226
5-th percentile20130801
Q120150909
median20180125
Q320190829
95-th percentile20201214
Maximum20210429
Range90203
Interquartile range (IQR)39920

Descriptive statistics

Standard deviation23889.221
Coefficient of variation (CV)0.0011842726
Kurtosis-1.0308496
Mean20172062
Median Absolute Deviation (MAD)19720
Skewness-0.31317101
Sum3.2618225 × 1010
Variance5.7069489 × 108
MonotonicityNot monotonic
2024-04-17T10:12:28.415081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121115 8
 
0.2%
20180625 6
 
0.1%
20180430 6
 
0.1%
20180228 5
 
0.1%
20140530 5
 
0.1%
20170929 5
 
0.1%
20161228 5
 
0.1%
20190701 5
 
0.1%
20140107 5
 
0.1%
20171229 5
 
0.1%
Other values (1021) 1562
38.6%
(Missing) 2433
60.1%
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 (%)
20210429 2
< 0.1%
20210428 1
 
< 0.1%
20210427 1
 
< 0.1%
20210426 1
 
< 0.1%
20210420 3
0.1%
20210415 2
< 0.1%
20210407 1
 
< 0.1%
20210402 1
 
< 0.1%
20210401 2
< 0.1%
20210331 3
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
<NA>
4048 
20190424
 
1
20200331
 
1

Length

Max length8
Median length4
Mean length4.0019753
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> 4048
> 99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

Length

2024-04-17T10:12:28.527354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:28.617821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4048
> 99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
<NA>
4048 
20211231
 
1
20210331
 
1

Length

Max length8
Median length4
Mean length4.0019753
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> 4048
> 99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

Length

2024-04-17T10:12:28.714959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:28.811732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4048
> 99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4050
Missing (%)100.0%
Memory size35.7 KiB

소재지전화
Text

MISSING 

Distinct1998
Distinct (%)87.7%
Missing1771
Missing (%)43.7%
Memory size31.8 KiB
2024-04-17T10:12:29.001799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.839403
Min length4

Characters and Unicode

Total characters24703
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

Unique1769 ?
Unique (%)77.6%

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%
080-080-3663 4
 
0.2%
051-741-3338 4
 
0.2%
051-805-5535 4
 
0.2%
051-721-8852 3
 
0.1%
051-365-1067 3
 
0.1%
051-325-4728 3
 
0.1%
051-363-0717 3
 
0.1%
051-242-4673 3
 
0.1%
Other values (1990) 2236
97.9%
2024-04-17T10:12:29.387988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3797
15.4%
5 3350
13.6%
1 3257
13.2%
0 3153
12.8%
2 2070
8.4%
7 1735
7.0%
3 1710
6.9%
6 1566
6.3%
8 1530
6.2%
4 1390
 
5.6%
Other values (4) 1145
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20812
84.2%
Dash Punctuation 3797
 
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 3350
16.1%
1 3257
15.6%
0 3153
15.1%
2 2070
9.9%
7 1735
8.3%
3 1710
8.2%
6 1566
7.5%
8 1530
7.4%
4 1390
6.7%
9 1051
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 3797
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 24703
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3797
15.4%
5 3350
13.6%
1 3257
13.2%
0 3153
12.8%
2 2070
8.4%
7 1735
7.0%
3 1710
6.9%
6 1566
6.3%
8 1530
6.2%
4 1390
 
5.6%
Other values (4) 1145
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24703
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3797
15.4%
5 3350
13.6%
1 3257
13.2%
0 3153
12.8%
2 2070
8.4%
7 1735
7.0%
3 1710
6.9%
6 1566
6.3%
8 1530
6.2%
4 1390
 
5.6%
Other values (4) 1145
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4050
Missing (%)100.0%
Memory size35.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)37.4%
Missing2531
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean607302.01
Minimum46067
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:29.503581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46067
5-th percentile601807.9
Q1607825.5
median611817
Q3613828.5
95-th percentile616852
Maximum619963
Range573896
Interquartile range (IQR)6003

Descriptive statistics

Standard deviation43532.15
Coefficient of variation (CV)0.071681222
Kurtosis160.7247
Mean607302.01
Median Absolute Deviation (MAD)3012
Skewness-12.677674
Sum9.2249176 × 108
Variance1.8950481 × 109
MonotonicityNot monotonic
2024-04-17T10:12:29.612734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612821 21
 
0.5%
604851 18
 
0.4%
614847 17
 
0.4%
614846 17
 
0.4%
609837 15
 
0.4%
608811 15
 
0.4%
612847 15
 
0.4%
612842 15
 
0.4%
612836 14
 
0.3%
614803 14
 
0.3%
Other values (558) 1358
33.5%
(Missing) 2531
62.5%
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 

Distinct2669
Distinct (%)82.1%
Missing800
Missing (%)19.8%
Memory size31.8 KiB
2024-04-17T10:12:29.891553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length24.075385
Min length12

Characters and Unicode

Total characters78245
Distinct characters432
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

Unique2225 ?
Unique (%)68.5%

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 3247
 
19.4%
1호 526
 
3.1%
해운대구 442
 
2.6%
부산진구 399
 
2.4%
금정구 318
 
1.9%
동래구 273
 
1.6%
수영구 255
 
1.5%
사하구 249
 
1.5%
연제구 244
 
1.5%
남구 241
 
1.4%
Other values (2487) 10511
62.9%
2024-04-17T10:12:30.317295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13469
17.2%
산 3995
 
5.1%
부 3888
 
5.0%
동 3698
 
4.7%
1 3575
 
4.6%
광 3397
 
4.3%
시 3305
 
4.2%
구 3269
 
4.2%
역 3265
 
4.2%
지 3049
 
3.9%
Other values (422) 33335
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49273
63.0%
Decimal Number 15079
 
19.3%
Space Separator 13469
 
17.2%
Dash Punctuation 255
 
0.3%
Uppercase Letter 105
 
0.1%
Other Punctuation 23
 
< 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 3995
 
8.1%
부 3888
 
7.9%
동 3698
 
7.5%
광 3397
 
6.9%
시 3305
 
6.7%
구 3269
 
6.6%
역 3265
 
6.6%
지 3049
 
6.2%
번 2895
 
5.9%
호 2829
 
5.7%
Other values (379) 15683
31.8%
Uppercase Letter
ValueCountFrequency (%)
S 16
15.2%
C 12
11.4%
A 9
 
8.6%
B 8
 
7.6%
K 7
 
6.7%
D 6
 
5.7%
G 5
 
4.8%
Y 5
 
4.8%
O 4
 
3.8%
P 4
 
3.8%
Other values (10) 29
27.6%
Decimal Number
ValueCountFrequency (%)
1 3575
23.7%
2 2005
13.3%
3 1601
10.6%
4 1463
9.7%
5 1284
 
8.5%
0 1171
 
7.8%
6 1098
 
7.3%
7 1055
 
7.0%
8 951
 
6.3%
9 876
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 18
78.3%
· 2
 
8.7%
. 2
 
8.7%
& 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 8
72.7%
n 2
 
18.2%
k 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 255
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 49273
63.0%
Common 28855
36.9%
Latin 117
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 3995
 
8.1%
부 3888
 
7.9%
동 3698
 
7.5%
광 3397
 
6.9%
시 3305
 
6.7%
구 3269
 
6.6%
역 3265
 
6.6%
지 3049
 
6.2%
번 2895
 
5.9%
호 2829
 
5.7%
Other values (379) 15683
31.8%
Latin
ValueCountFrequency (%)
S 16
13.7%
C 12
 
10.3%
A 9
 
7.7%
e 8
 
6.8%
B 8
 
6.8%
K 7
 
6.0%
D 6
 
5.1%
G 5
 
4.3%
Y 5
 
4.3%
O 4
 
3.4%
Other values (14) 37
31.6%
Common
ValueCountFrequency (%)
13469
46.7%
1 3575
 
12.4%
2 2005
 
6.9%
3 1601
 
5.5%
4 1463
 
5.1%
5 1284
 
4.4%
0 1171
 
4.1%
6 1098
 
3.8%
7 1055
 
3.7%
8 951
 
3.3%
Other values (9) 1183
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49273
63.0%
ASCII 28969
37.0%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13469
46.5%
1 3575
 
12.3%
2 2005
 
6.9%
3 1601
 
5.5%
4 1463
 
5.1%
5 1284
 
4.4%
0 1171
 
4.0%
6 1098
 
3.8%
7 1055
 
3.6%
8 951
 
3.3%
Other values (31) 1297
 
4.5%
Hangul
ValueCountFrequency (%)
산 3995
 
8.1%
부 3888
 
7.9%
동 3698
 
7.5%
광 3397
 
6.9%
시 3305
 
6.7%
구 3269
 
6.6%
역 3265
 
6.6%
지 3049
 
6.2%
번 2895
 
5.9%
호 2829
 
5.7%
Other values (379) 15683
31.8%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

Distinct3418
Distinct (%)84.4%
Missing2
Missing (%)< 0.1%
Memory size31.8 KiB
2024-04-17T10:12:30.623295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length57
Mean length30.18503
Min length19

Characters and Unicode

Total characters122189
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

Unique2921 ?
Unique (%)72.2%

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 4047
 
17.1%
1층 684
 
2.9%
부산진구 507
 
2.1%
해운대구 462
 
2.0%
금정구 334
 
1.4%
사하구 321
 
1.4%
남구 287
 
1.2%
동래구 276
 
1.2%
수영구 270
 
1.1%
연제구 254
 
1.1%
Other values (3513) 16220
68.5%
2024-04-17T10:12:31.085037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19614
 
16.1%
1 5194
 
4.3%
동 5170
 
4.2%
산 5088
 
4.2%
부 4927
 
4.0%
광 4382
 
3.6%
시 4299
 
3.5%
구 4093
 
3.3%
역 4073
 
3.3%
로 4008
 
3.3%
Other values (494) 61341
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72744
59.5%
Space Separator 19614
 
16.1%
Decimal Number 18784
 
15.4%
Close Punctuation 3906
 
3.2%
Open Punctuation 3906
 
3.2%
Other Punctuation 2547
 
2.1%
Dash Punctuation 428
 
0.4%
Uppercase Letter 213
 
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 5170
 
7.1%
산 5088
 
7.0%
부 4927
 
6.8%
광 4382
 
6.0%
시 4299
 
5.9%
구 4093
 
5.6%
역 4073
 
5.6%
로 4008
 
5.5%
대 2051
 
2.8%
길 1619
 
2.2%
Other values (442) 33034
45.4%
Uppercase Letter
ValueCountFrequency (%)
B 38
17.8%
A 26
12.2%
S 25
11.7%
C 19
 
8.9%
K 10
 
4.7%
D 10
 
4.7%
I 9
 
4.2%
G 8
 
3.8%
W 8
 
3.8%
H 8
 
3.8%
Other values (12) 52
24.4%
Decimal Number
ValueCountFrequency (%)
1 5194
27.7%
2 2576
13.7%
0 2063
 
11.0%
3 1828
 
9.7%
4 1494
 
8.0%
5 1303
 
6.9%
6 1215
 
6.5%
7 1135
 
6.0%
9 1009
 
5.4%
8 967
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 13
56.5%
n 3
 
13.0%
k 1
 
4.3%
v 1
 
4.3%
l 1
 
4.3%
d 1
 
4.3%
a 1
 
4.3%
y 1
 
4.3%
o 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2538
99.6%
. 4
 
0.2%
· 4
 
0.2%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
19614
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3906
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3906
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 428
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72744
59.5%
Common 49208
40.3%
Latin 237
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5170
 
7.1%
산 5088
 
7.0%
부 4927
 
6.8%
광 4382
 
6.0%
시 4299
 
5.9%
구 4093
 
5.6%
역 4073
 
5.6%
로 4008
 
5.5%
대 2051
 
2.8%
길 1619
 
2.2%
Other values (442) 33034
45.4%
Latin
ValueCountFrequency (%)
B 38
16.0%
A 26
 
11.0%
S 25
 
10.5%
C 19
 
8.0%
e 13
 
5.5%
K 10
 
4.2%
D 10
 
4.2%
I 9
 
3.8%
G 8
 
3.4%
W 8
 
3.4%
Other values (22) 71
30.0%
Common
ValueCountFrequency (%)
19614
39.9%
1 5194
 
10.6%
) 3906
 
7.9%
( 3906
 
7.9%
2 2576
 
5.2%
, 2538
 
5.2%
0 2063
 
4.2%
3 1828
 
3.7%
4 1494
 
3.0%
5 1303
 
2.6%
Other values (10) 4786
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72744
59.5%
ASCII 49440
40.5%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19614
39.7%
1 5194
 
10.5%
) 3906
 
7.9%
( 3906
 
7.9%
2 2576
 
5.2%
, 2538
 
5.1%
0 2063
 
4.2%
3 1828
 
3.7%
4 1494
 
3.0%
5 1303
 
2.6%
Other values (40) 5018
 
10.1%
Hangul
ValueCountFrequency (%)
동 5170
 
7.1%
산 5088
 
7.0%
부 4927
 
6.8%
광 4382
 
6.0%
시 4299
 
5.9%
구 4093
 
5.6%
역 4073
 
5.6%
로 4008
 
5.5%
대 2051
 
2.8%
길 1619
 
2.2%
Other values (442) 33034
45.4%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct1554
Distinct (%)38.4%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean105431.3
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:31.216285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46213.25
Q147007
median47894
Q348931
95-th percentile612818.25
Maximum619963
Range573961
Interquartile range (IQR)1924

Descriptive statistics

Standard deviation170936.02
Coefficient of variation (CV)1.6213023
Kurtosis4.8961364
Mean105431.3
Median Absolute Deviation (MAD)914.5
Skewness2.6252507
Sum4.2657506 × 108
Variance2.9219123 × 1010
MonotonicityNot monotonic
2024-04-17T10:12:31.325123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 33
 
0.8%
48094 27
 
0.7%
48059 21
 
0.5%
46759 21
 
0.5%
48099 18
 
0.4%
47520 17
 
0.4%
48095 17
 
0.4%
47209 16
 
0.4%
48953 16
 
0.4%
47296 15
 
0.4%
Other values (1544) 3845
94.9%
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

Distinct3522
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
2024-04-17T10:12:31.624116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.330123
Min length2

Characters and Unicode

Total characters41837
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

Unique3103 ?
Unique (%)76.6%

Sample

1st row씨유 부산포레호텔점
2nd row세븐일레븐 부산코모도점
3rd row씨유 초량망양로점
4th row이마트24사상중앙점
5th row씨유감전낙동대로점
ValueCountFrequency (%)
씨유 574
 
8.6%
gs25 565
 
8.5%
세븐일레븐 406
 
6.1%
미니스톱 233
 
3.5%
cu 149
 
2.2%
주)코리아세븐 137
 
2.1%
지에스(gs)25 130
 
1.9%
지에스25 89
 
1.3%
이마트24 56
 
0.8%
씨스페이스 22
 
0.3%
Other values (3304) 4319
64.7%
2024-04-17T10:12:32.025967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3878
 
9.3%
2631
 
6.3%
2 1509
 
3.6%
5 1345
 
3.2%
븐 1305
 
3.1%
산 1215
 
2.9%
S 1205
 
2.9%
G 1171
 
2.8%
씨 1116
 
2.7%
유 1111
 
2.7%
Other values (501) 25351
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32204
77.0%
Decimal Number 3017
 
7.2%
Uppercase Letter 2983
 
7.1%
Space Separator 2631
 
6.3%
Close Punctuation 477
 
1.1%
Open Punctuation 475
 
1.1%
Lowercase Letter 40
 
0.1%
Other Punctuation 5
 
< 0.1%
Other Symbol 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3878
 
12.0%
븐 1305
 
4.1%
산 1215
 
3.8%
씨 1116
 
3.5%
유 1111
 
3.4%
부 1101
 
3.4%
스 922
 
2.9%
세 770
 
2.4%
일 758
 
2.4%
대 665
 
2.1%
Other values (457) 19363
60.1%
Uppercase Letter
ValueCountFrequency (%)
S 1205
40.4%
G 1171
39.3%
C 258
 
8.6%
U 255
 
8.5%
K 36
 
1.2%
R 10
 
0.3%
N 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 1509
50.0%
5 1345
44.6%
4 116
 
3.8%
3 20
 
0.7%
1 19
 
0.6%
0 3
 
0.1%
6 2
 
0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
9 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 (%)
2631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 477
100.0%
Open Punctuation
ValueCountFrequency (%)
( 475
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32207
77.0%
Common 6607
 
15.8%
Latin 3023
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3878
 
12.0%
븐 1305
 
4.1%
산 1215
 
3.8%
씨 1116
 
3.5%
유 1111
 
3.4%
부 1101
 
3.4%
스 922
 
2.9%
세 770
 
2.4%
일 758
 
2.4%
대 665
 
2.1%
Other values (458) 19366
60.1%
Latin
ValueCountFrequency (%)
S 1205
39.9%
G 1171
38.7%
C 258
 
8.5%
U 255
 
8.4%
K 36
 
1.2%
R 10
 
0.3%
N 10
 
0.3%
H 8
 
0.3%
u 8
 
0.3%
c 8
 
0.3%
Other values (17) 54
 
1.8%
Common
ValueCountFrequency (%)
2631
39.8%
2 1509
22.8%
5 1345
20.4%
) 477
 
7.2%
( 475
 
7.2%
4 116
 
1.8%
3 20
 
0.3%
1 19
 
0.3%
0 3
 
< 0.1%
. 3
 
< 0.1%
Other values (6) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32203
77.0%
ASCII 9630
 
23.0%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3878
 
12.0%
븐 1305
 
4.1%
산 1215
 
3.8%
씨 1116
 
3.5%
유 1111
 
3.4%
부 1101
 
3.4%
스 922
 
2.9%
세 770
 
2.4%
일 758
 
2.4%
대 665
 
2.1%
Other values (456) 19362
60.1%
ASCII
ValueCountFrequency (%)
2631
27.3%
2 1509
15.7%
5 1345
14.0%
S 1205
12.5%
G 1171
12.2%
) 477
 
5.0%
( 475
 
4.9%
C 258
 
2.7%
U 255
 
2.6%
4 116
 
1.2%
Other values (33) 188
 
2.0%
None
ValueCountFrequency (%)
㈜ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct4050
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0173269 × 1013
Minimum2.0130712 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:32.145046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130712 × 1013
5-th percentile2.013082 × 1013
Q12.015102 × 1013
median2.0180221 × 1013
Q32.0191028 × 1013
95-th percentile2.0210119 × 1013
Maximum2.021043 × 1013
Range7.9718062 × 1010
Interquartile range (IQR)4.0007761 × 1010

Descriptive statistics

Standard deviation2.4272723 × 1010
Coefficient of variation (CV)0.0012032121
Kurtosis-1.1097836
Mean2.0173269 × 1013
Median Absolute Deviation (MAD)1.9901 × 1010
Skewness-0.30853716
Sum8.170174 × 1016
Variance5.8916506 × 1020
MonotonicityNot monotonic
2024-04-17T10:12:32.270752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181102155609 1
 
< 0.1%
20190131172806 1
 
< 0.1%
20160125131521 1
 
< 0.1%
20190816175753 1
 
< 0.1%
20150212101044 1
 
< 0.1%
20180430171529 1
 
< 0.1%
20161227133705 1
 
< 0.1%
20170921153641 1
 
< 0.1%
20190528144000 1
 
< 0.1%
20181228101608 1
 
< 0.1%
Other values (4040) 4040
99.8%
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 (%)
20210430164120 1
< 0.1%
20210430154954 1
< 0.1%
20210430094050 1
< 0.1%
20210430093958 1
< 0.1%
20210429194718 1
< 0.1%
20210429180133 1
< 0.1%
20210429165345 1
< 0.1%
20210429165048 1
< 0.1%
20210429150625 1
< 0.1%
20210429150613 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
I
3079 
U
971 

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 3079
76.0%
U 971
 
24.0%

Length

2024-04-17T10:12:32.381433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:32.466961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3079
76.0%
u 971
 
24.0%

데이터갱신일자
Date

Distinct886
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-17T10:12:32.566765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:12:32.672496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4050
Missing (%)100.0%
Memory size35.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2790
Distinct (%)70.0%
Missing62
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean388051.41
Minimum204412.09
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:32.781193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204412.09
5-th percentile378914.85
Q1383943.35
median388620.43
Q3391906.95
95-th percentile398355.14
Maximum407507.94
Range203095.85
Interquartile range (IQR)7963.6036

Descriptive statistics

Standard deviation6975.3728
Coefficient of variation (CV)0.017975383
Kurtosis120.11511
Mean388051.41
Median Absolute Deviation (MAD)3812.4142
Skewness-4.7522444
Sum1.547549 × 109
Variance48655826
MonotonicityNot monotonic
2024-04-17T10:12:33.146023image/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%
384022.032307615 6
 
0.1%
383016.00546371 6
 
0.1%
394189.376691755 6
 
0.1%
392515.689667818 6
 
0.1%
392084.650637222 6
 
0.1%
394085.659790124 5
 
0.1%
394120.995204637 5
 
0.1%
370949.59316783 5
 
0.1%
Other values (2780) 3928
97.0%
(Missing) 62
 
1.5%
ValueCountFrequency (%)
204412.090101 1
< 0.1%
364927.696730227 1
< 0.1%
365093.676617096 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%
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 

Distinct2792
Distinct (%)70.0%
Missing62
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean187344.69
Minimum169703.39
Maximum445110.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:33.264206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile177989.04
Q1183481.94
median186910.02
Q3190923.55
95-th percentile197645.19
Maximum445110.29
Range275406.89
Interquartile range (IQR)7441.6083

Descriptive statistics

Standard deviation7337.8524
Coefficient of variation (CV)0.039167656
Kurtosis381.18887
Mean187344.69
Median Absolute Deviation (MAD)3843.9024
Skewness11.149669
Sum7.4713062 × 108
Variance53844078
MonotonicityNot monotonic
2024-04-17T10:12:33.372631image/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
 
0.1%
186104.560408303 6
 
0.1%
183481.94111857 6
 
0.1%
196112.065133691 6
 
0.1%
185058.950891149 6
 
0.1%
186745.256737984 5
 
0.1%
198370.857509743 5
 
0.1%
186402.69058778 5
 
0.1%
Other values (2782) 3928
97.0%
(Missing) 62
 
1.5%
ValueCountFrequency (%)
169703.393912171 1
< 0.1%
170813.584718477 1
< 0.1%
170855.583516334 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%
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 

Distinct611
Distinct (%)22.7%
Missing1357
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean74.939016
Minimum3
Maximum4038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2024-04-17T10:12:33.496572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33
Q149.5
median66
Q388
95-th percentile134.028
Maximum4038
Range4035
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation87.34305
Coefficient of variation (CV)1.1655217
Kurtosis1580.4745
Mean74.939016
Median Absolute Deviation (MAD)16.6
Skewness35.433185
Sum201810.77
Variance7628.8083
MonotonicityNot monotonic
2024-04-17T10:12:33.618644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 228
 
5.6%
49.5 198
 
4.9%
99.0 94
 
2.3%
82.5 70
 
1.7%
33.0 70
 
1.7%
59.4 56
 
1.4%
60.0 56
 
1.4%
50.0 46
 
1.1%
100.0 40
 
1.0%
132.0 36
 
0.9%
Other values (601) 1799
44.4%
(Missing) 1357
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 

Missing4050
Missing (%)100.0%
Memory size35.7 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
40404041안전상비의약품 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>
40414042안전상비의약품 판매업소01_01_05_P3350000PHMH32018335002408750002720181121<NA>3폐업3폐업20210305<NA><NA><NA><NA><NA><NA>부산광역시 금정구 장전동 334번지 55호부산광역시 금정구 장전로 33, 1층 (장전동)46297(주)코리아세븐 부산장전사랑점20210430094050U2021-05-02 02:40:00.0<NA>389767.389962194126.839636<NA><NA>
40424043안전상비의약품 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>
40434044안전상비의약품 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>
40444045안전상비의약품 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>
40454046안전상비의약품 판매업소01_01_05_P3320000PHMH32018332004508750002420181214<NA>3폐업3폐업20210303<NA><NA><NA>051-363-0717<NA><NA>부산광역시 북구 금곡동 1880번지 7호부산광역시 북구 학사로 289, 1층 (금곡동)46519지에스(GS)25 화명율리점20210304102109U2021-03-06 02:40:00.0<NA>383016.005464196112.06513449.0<NA>
40464047안전상비의약품 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>
40474048안전상비의약품 판매업소01_01_05_P3330000PHMH32020333002408750004420201124<NA>3폐업3폐업20210317<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 1층 125호 (우동)48094씨유 해운대라뮤에뜨호텔점20210317161816U2021-03-19 02:40:00.0<NA>396639.0187018.050.0<NA>
40484049안전상비의약품 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>
40494050안전상비의약품 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>