Overview

Dataset statistics

Number of variables30
Number of observations3954
Missing cells28517
Missing cells (%)24.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1000.2 KiB
Average record size in memory259.0 B

Variable types

Numeric10
Categorical9
Text5
Unsupported5
DateTime1

Dataset

Description2021-03-01
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 3954 (100.0%) missing valuesMissing
폐업일자 has 2391 (60.5%) missing valuesMissing
재개업일자 has 3954 (100.0%) missing valuesMissing
소재지전화 has 1687 (42.7%) missing valuesMissing
소재지면적 has 3954 (100.0%) missing valuesMissing
소재지우편번호 has 2432 (61.5%) missing valuesMissing
소재지전체주소 has 790 (20.0%) missing valuesMissing
업태구분명 has 3954 (100.0%) missing valuesMissing
좌표정보(x) has 58 (1.5%) missing valuesMissing
좌표정보(y) has 58 (1.5%) missing valuesMissing
판매점영업면적 has 1325 (33.5%) missing valuesMissing
Unnamed: 29 has 3954 (100.0%) missing valuesMissing
판매점영업면적 is highly skewed (γ1 = 35.21739471)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 01:12:56.734677
Analysis finished2024-04-17 01:12:57.679529
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3954
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1977.5
Minimum1
Maximum3954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:12:57.735204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile198.65
Q1989.25
median1977.5
Q32965.75
95-th percentile3756.35
Maximum3954
Range3953
Interquartile range (IQR)1976.5

Descriptive statistics

Standard deviation1141.5658
Coefficient of variation (CV)0.57727727
Kurtosis-1.2
Mean1977.5
Median Absolute Deviation (MAD)988.5
Skewness0
Sum7819035
Variance1303172.5
MonotonicityStrictly increasing
2024-04-17T10:12:57.846842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2628 1
 
< 0.1%
2630 1
 
< 0.1%
2631 1
 
< 0.1%
2632 1
 
< 0.1%
2633 1
 
< 0.1%
2634 1
 
< 0.1%
2635 1
 
< 0.1%
2636 1
 
< 0.1%
2637 1
 
< 0.1%
Other values (3944) 3944
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 (%)
3954 1
< 0.1%
3953 1
< 0.1%
3952 1
< 0.1%
3951 1
< 0.1%
3950 1
< 0.1%
3949 1
< 0.1%
3948 1
< 0.1%
3947 1
< 0.1%
3946 1
< 0.1%
3945 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
안전상비의약품 판매업소
3954 

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 3954
100.0%

Length

2024-04-17T10:12:57.954808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:58.031054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전상비의약품 3954
50.0%
판매업소 3954
50.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
01_01_05_P
3954 

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 3954
100.0%

Length

2024-04-17T10:12:58.110345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:58.184913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_05_p 3954
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3330318.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:12:58.259492image/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 deviation40440.274
Coefficient of variation (CV)0.012143064
Kurtosis-0.89455121
Mean3330318.7
Median Absolute Deviation (MAD)30000
Skewness-0.034719588
Sum1.316808 × 1010
Variance1.6354158 × 109
MonotonicityNot monotonic
2024-04-17T10:12:58.351291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 491
12.4%
3330000 456
11.5%
3350000 329
 
8.3%
3340000 317
 
8.0%
3310000 276
 
7.0%
3300000 271
 
6.9%
3380000 260
 
6.6%
3370000 248
 
6.3%
3390000 246
 
6.2%
3320000 234
 
5.9%
Other values (6) 826
20.9%
ValueCountFrequency (%)
3250000 120
 
3.0%
3260000 136
 
3.4%
3270000 100
 
2.5%
3280000 98
 
2.5%
3290000 491
12.4%
3300000 271
6.9%
3310000 276
7.0%
3320000 234
5.9%
3330000 456
11.5%
3340000 317
8.0%
ValueCountFrequency (%)
3400000 208
5.3%
3390000 246
6.2%
3380000 260
6.6%
3370000 248
6.3%
3360000 164
 
4.1%
3350000 329
8.3%
3340000 317
8.0%
3330000 456
11.5%
3320000 234
5.9%
3310000 276
7.0%

관리번호
Text

UNIQUE 

Distinct3954
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
2024-04-17T10:12:58.523449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters98850
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

Unique3954 ?
Unique (%)100.0%

Sample

1st rowPHMH320183250021087500009
2nd rowPHMH320183250021087500010
3rd rowPHMH320183270022087500010
4th rowPHMH320183390023087500013
5th rowPHMH320183390023087500014
ValueCountFrequency (%)
phmh320183250021087500009 1
 
< 0.1%
phmh320133370022087500003 1
 
< 0.1%
phmh320123350024087500013 1
 
< 0.1%
phmh320133370022087500006 1
 
< 0.1%
phmh320133370022087500007 1
 
< 0.1%
phmh320153370022087500017 1
 
< 0.1%
phmh320153370022087500018 1
 
< 0.1%
phmh320153370022087500019 1
 
< 0.1%
phmh320153370022087500021 1
 
< 0.1%
phmh320153370022087500022 1
 
< 0.1%
Other values (3944) 3944
99.7%
2024-04-17T10:12:58.818964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30050
30.4%
3 13084
13.2%
2 11766
 
11.9%
H 7908
 
8.0%
1 5854
 
5.9%
5 5840
 
5.9%
7 5164
 
5.2%
8 5063
 
5.1%
P 3954
 
4.0%
M 3954
 
4.0%
Other values (3) 6213
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83034
84.0%
Uppercase Letter 15816
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30050
36.2%
3 13084
15.8%
2 11766
 
14.2%
1 5854
 
7.1%
5 5840
 
7.0%
7 5164
 
6.2%
8 5063
 
6.1%
4 3567
 
4.3%
9 1494
 
1.8%
6 1152
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
H 7908
50.0%
P 3954
25.0%
M 3954
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 83034
84.0%
Latin 15816
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30050
36.2%
3 13084
15.8%
2 11766
 
14.2%
1 5854
 
7.1%
5 5840
 
7.0%
7 5164
 
6.2%
8 5063
 
6.1%
4 3567
 
4.3%
9 1494
 
1.8%
6 1152
 
1.4%
Latin
ValueCountFrequency (%)
H 7908
50.0%
P 3954
25.0%
M 3954
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30050
30.4%
3 13084
13.2%
2 11766
 
11.9%
H 7908
 
8.0%
1 5854
 
5.9%
5 5840
 
5.9%
7 5164
 
5.2%
8 5063
 
5.1%
P 3954
 
4.0%
M 3954
 
4.0%
Other values (3) 6213
 
6.3%

인허가일자
Real number (ℝ)

Distinct1455
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20155707
Minimum20120113
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:12:58.941966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120113
5-th percentile20121109
Q120121127
median20160106
Q320180531
95-th percentile20200724
Maximum20210129
Range90016
Interquartile range (IQR)59404

Descriptive statistics

Standard deviation28543.649
Coefficient of variation (CV)0.0014161572
Kurtosis-1.3620377
Mean20155707
Median Absolute Deviation (MAD)29797.5
Skewness0.15552038
Sum7.9695665 × 1010
Variance8.1473989 × 108
MonotonicityNot monotonic
2024-04-17T10:12:59.053272image/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
 
3.0%
20121113 109
 
2.8%
20121116 99
 
2.5%
20121108 66
 
1.7%
20121107 45
 
1.1%
20121106 34
 
0.9%
20121110 22
 
0.6%
Other values (1445) 3038
76.8%
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 (%)
20210129 1
 
< 0.1%
20210128 1
 
< 0.1%
20210127 1
 
< 0.1%
20210125 1
 
< 0.1%
20210122 3
0.1%
20210121 2
0.1%
20210119 3
0.1%
20210118 3
0.1%
20210115 1
 
< 0.1%
20210113 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3954
Missing (%)100.0%
Memory size34.9 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
1
2389 
3
1557 
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 2389
60.4%
3 1557
39.4%
4 6
 
0.2%
2 2
 
0.1%

Length

2024-04-17T10:12:59.163190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:59.241677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2389
60.4%
3 1557
39.4%
4 6
 
0.2%
2 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
영업/정상
2389 
폐업
1557 
취소/말소/만료/정지/중지
 
6
휴업
 
2

Length

Max length14
Median length5
Mean length3.8308042
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 2389
60.4%
폐업 1557
39.4%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

Length

2024-04-17T10:12:59.347746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:59.431631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2389
60.4%
폐업 1557
39.4%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
13
2389 
3
1557 
24
 
6
2
 
2

Length

Max length2
Median length2
Mean length1.6057157
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 2389
60.4%
3 1557
39.4%
24 6
 
0.2%
2 2
 
0.1%

Length

2024-04-17T10:12:59.521297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:12:59.611425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 2389
60.4%
3 1557
39.4%
24 6
 
0.2%
2 2
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
영업중
2389 
폐업
1557 
직권폐업
 
6
휴업
 
2

Length

Max length4
Median length3
Mean length2.6072332
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 2389
60.4%
폐업 1557
39.4%
직권폐업 6
 
0.2%
휴업 2
 
0.1%

Length

2024-04-17T10:12:59.711420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:13:00.034814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 2389
60.4%
폐업 1557
39.4%
직권폐업 6
 
0.2%
휴업 2
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct999
Distinct (%)63.9%
Missing2391
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean20170753
Minimum20120226
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:13:00.138440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120226
5-th percentile20130730
Q120150721
median20171129
Q320190710
95-th percentile20201007
Maximum20210129
Range89903
Interquartile range (IQR)39989

Descriptive statistics

Standard deviation23214.767
Coefficient of variation (CV)0.0011509123
Kurtosis-1.0589658
Mean20170753
Median Absolute Deviation (MAD)19797
Skewness-0.3350571
Sum3.1526886 × 1010
Variance5.3892542 × 108
MonotonicityNot monotonic
2024-04-17T10:13:00.253652image/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%
20170929 5
 
0.1%
20171229 5
 
0.1%
20180628 5
 
0.1%
20180806 5
 
0.1%
20140107 5
 
0.1%
20190701 5
 
0.1%
Other values (989) 1508
38.1%
(Missing) 2391
60.5%
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 (%)
20210129 1
< 0.1%
20210128 2
0.1%
20210127 2
0.1%
20210125 1
< 0.1%
20210122 1
< 0.1%
20210120 2
0.1%
20210119 2
0.1%
20210118 1
< 0.1%
20210112 1
< 0.1%
20210111 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
<NA>
3952 
20190424
 
1
20200331
 
1

Length

Max length8
Median length4
Mean length4.0020233
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> 3952
99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

Length

2024-04-17T10:13:00.365677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:13:00.454370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3952
99.9%
20190424 1
 
< 0.1%
20200331 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
<NA>
3952 
20211231
 
1
20210331
 
1

Length

Max length8
Median length4
Mean length4.0020233
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> 3952
99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

Length

2024-04-17T10:13:00.549910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:13:00.644941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3952
99.9%
20211231 1
 
< 0.1%
20210331 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3954
Missing (%)100.0%
Memory size34.9 KiB

소재지전화
Text

MISSING 

Distinct1990
Distinct (%)87.8%
Missing1687
Missing (%)42.7%
Memory size31.0 KiB
2024-04-17T10:13:00.843903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.832819
Min length4

Characters and Unicode

Total characters24558
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

Unique1764 ?
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%
051-242-4673 3
 
0.1%
051-704-0867 3
 
0.1%
051-336-5998 3
 
0.1%
051-892-6223 3
 
0.1%
051-925-5965 3
 
0.1%
080-080-3663 3
 
0.1%
Other values (1982) 2225
97.9%
2024-04-17T10:13:01.182893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3773
15.4%
5 3332
13.6%
1 3240
13.2%
0 3131
12.7%
2 2061
8.4%
7 1728
7.0%
3 1700
6.9%
6 1557
6.3%
8 1516
6.2%
4 1383
 
5.6%
Other values (4) 1137
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20691
84.3%
Dash Punctuation 3773
 
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 3332
16.1%
1 3240
15.7%
0 3131
15.1%
2 2061
10.0%
7 1728
8.4%
3 1700
8.2%
6 1557
7.5%
8 1516
7.3%
4 1383
6.7%
9 1043
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 3773
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 24558
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3773
15.4%
5 3332
13.6%
1 3240
13.2%
0 3131
12.7%
2 2061
8.4%
7 1728
7.0%
3 1700
6.9%
6 1557
6.3%
8 1516
6.2%
4 1383
 
5.6%
Other values (4) 1137
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3773
15.4%
5 3332
13.6%
1 3240
13.2%
0 3131
12.7%
2 2061
8.4%
7 1728
7.0%
3 1700
6.9%
6 1557
6.3%
8 1516
6.2%
4 1383
 
5.6%
Other values (4) 1137
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3954
Missing (%)100.0%
Memory size34.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)37.3%
Missing2432
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean607309.64
Minimum46067
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:13:01.303021image/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
2024-04-17T10:13:01.411169image/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%
608811 15
 
0.4%
609837 15
 
0.4%
612847 15
 
0.4%
612842 15
 
0.4%
614803 14
 
0.4%
612836 14
 
0.4%
Other values (558) 1361
34.4%
(Missing) 2432
61.5%
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 

Distinct2582
Distinct (%)81.6%
Missing790
Missing (%)20.0%
Memory size31.0 KiB
2024-04-17T10:13:01.689224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length24.106511
Min length12

Characters and Unicode

Total characters76273
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

Unique2137 ?
Unique (%)67.5%

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 3161
 
19.4%
1호 526
 
3.2%
해운대구 435
 
2.7%
부산진구 391
 
2.4%
금정구 313
 
1.9%
동래구 268
 
1.6%
사하구 247
 
1.5%
수영구 245
 
1.5%
연제구 238
 
1.5%
남구 229
 
1.4%
Other values (2365) 10251
62.9%
2024-04-17T10:13:02.119422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13154
17.2%
산 3892
 
5.1%
부 3786
 
5.0%
동 3600
 
4.7%
1 3491
 
4.6%
광 3307
 
4.3%
시 3214
 
4.2%
구 3183
 
4.2%
역 3176
 
4.2%
지 3047
 
4.0%
Other values (419) 32423
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48082
63.0%
Decimal Number 14694
 
19.3%
Space Separator 13154
 
17.2%
Dash Punctuation 179
 
0.2%
Uppercase Letter 102
 
0.1%
Other Punctuation 21
 
< 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 3892
 
8.1%
부 3786
 
7.9%
동 3600
 
7.5%
광 3307
 
6.9%
시 3214
 
6.7%
구 3183
 
6.6%
역 3176
 
6.6%
지 3047
 
6.3%
번 2899
 
6.0%
호 2828
 
5.9%
Other values (376) 15150
31.5%
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%
T 4
 
3.9%
G 4
 
3.9%
O 4
 
3.9%
Other values (10) 27
26.5%
Decimal Number
ValueCountFrequency (%)
1 3491
23.8%
2 1961
13.3%
3 1561
10.6%
4 1428
9.7%
5 1253
 
8.5%
0 1148
 
7.8%
6 1065
 
7.2%
7 1018
 
6.9%
8 917
 
6.2%
9 852
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 17
81.0%
. 2
 
9.5%
· 1
 
4.8%
& 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
72.7%
n 2
 
18.2%
k 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
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 48082
63.0%
Common 28077
36.8%
Latin 114
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 3892
 
8.1%
부 3786
 
7.9%
동 3600
 
7.5%
광 3307
 
6.9%
시 3214
 
6.7%
구 3183
 
6.6%
역 3176
 
6.6%
지 3047
 
6.3%
번 2899
 
6.0%
호 2828
 
5.9%
Other values (376) 15150
31.5%
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%
T 4
 
3.5%
G 4
 
3.5%
Other values (14) 35
30.7%
Common
ValueCountFrequency (%)
13154
46.8%
1 3491
 
12.4%
2 1961
 
7.0%
3 1561
 
5.6%
4 1428
 
5.1%
5 1253
 
4.5%
0 1148
 
4.1%
6 1065
 
3.8%
7 1018
 
3.6%
8 917
 
3.3%
Other values (9) 1081
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48082
63.0%
ASCII 28189
37.0%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13154
46.7%
1 3491
 
12.4%
2 1961
 
7.0%
3 1561
 
5.5%
4 1428
 
5.1%
5 1253
 
4.4%
0 1148
 
4.1%
6 1065
 
3.8%
7 1018
 
3.6%
8 917
 
3.3%
Other values (31) 1193
 
4.2%
Hangul
ValueCountFrequency (%)
산 3892
 
8.1%
부 3786
 
7.9%
동 3600
 
7.5%
광 3307
 
6.9%
시 3214
 
6.7%
구 3183
 
6.6%
역 3176
 
6.6%
지 3047
 
6.3%
번 2899
 
6.0%
호 2828
 
5.9%
Other values (376) 15150
31.5%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

Distinct3338
Distinct (%)84.5%
Missing2
Missing (%)0.1%
Memory size31.0 KiB
2024-04-17T10:13:02.418606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length56
Mean length30.097166
Min length19

Characters and Unicode

Total characters118944
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

Unique2851 ?
Unique (%)72.1%

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 3951
 
17.2%
1층 639
 
2.8%
부산진구 491
 
2.1%
해운대구 455
 
2.0%
금정구 329
 
1.4%
사하구 317
 
1.4%
남구 275
 
1.2%
동래구 271
 
1.2%
수영구 260
 
1.1%
연제구 248
 
1.1%
Other values (3437) 15788
68.6%
2024-04-17T10:13:02.855353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19072
 
16.0%
동 5040
 
4.2%
1 5033
 
4.2%
산 4963
 
4.2%
부 4803
 
4.0%
광 4279
 
3.6%
시 4193
 
3.5%
구 3993
 
3.4%
역 3974
 
3.3%
로 3915
 
3.3%
Other values (494) 59679
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70869
59.6%
Space Separator 19072
 
16.0%
Decimal Number 18263
 
15.4%
Close Punctuation 3811
 
3.2%
Open Punctuation 3811
 
3.2%
Other Punctuation 2445
 
2.1%
Dash Punctuation 418
 
0.4%
Uppercase Letter 208
 
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 5040
 
7.1%
산 4963
 
7.0%
부 4803
 
6.8%
광 4279
 
6.0%
시 4193
 
5.9%
구 3993
 
5.6%
역 3974
 
5.6%
로 3915
 
5.5%
대 2013
 
2.8%
길 1575
 
2.2%
Other values (442) 32121
45.3%
Uppercase Letter
ValueCountFrequency (%)
B 38
18.3%
A 26
12.5%
S 25
12.0%
C 19
 
9.1%
D 10
 
4.8%
I 9
 
4.3%
K 9
 
4.3%
G 7
 
3.4%
W 7
 
3.4%
E 7
 
3.4%
Other values (12) 51
24.5%
Decimal Number
ValueCountFrequency (%)
1 5033
27.6%
2 2506
13.7%
0 2013
 
11.0%
3 1782
 
9.8%
4 1458
 
8.0%
5 1268
 
6.9%
6 1178
 
6.5%
7 1102
 
6.0%
9 986
 
5.4%
8 937
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 13
56.5%
n 3
 
13.0%
a 1
 
4.3%
k 1
 
4.3%
y 1
 
4.3%
d 1
 
4.3%
o 1
 
4.3%
v 1
 
4.3%
l 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2437
99.7%
. 4
 
0.2%
· 3
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
19072
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3811
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3811
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 418
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 70869
59.6%
Common 47843
40.2%
Latin 232
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5040
 
7.1%
산 4963
 
7.0%
부 4803
 
6.8%
광 4279
 
6.0%
시 4193
 
5.9%
구 3993
 
5.6%
역 3974
 
5.6%
로 3915
 
5.5%
대 2013
 
2.8%
길 1575
 
2.2%
Other values (442) 32121
45.3%
Latin
ValueCountFrequency (%)
B 38
16.4%
A 26
 
11.2%
S 25
 
10.8%
C 19
 
8.2%
e 13
 
5.6%
D 10
 
4.3%
I 9
 
3.9%
K 9
 
3.9%
G 7
 
3.0%
W 7
 
3.0%
Other values (22) 69
29.7%
Common
ValueCountFrequency (%)
19072
39.9%
1 5033
 
10.5%
) 3811
 
8.0%
( 3811
 
8.0%
2 2506
 
5.2%
, 2437
 
5.1%
0 2013
 
4.2%
3 1782
 
3.7%
4 1458
 
3.0%
5 1268
 
2.7%
Other values (10) 4652
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70869
59.6%
ASCII 48071
40.4%
None 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19072
39.7%
1 5033
 
10.5%
) 3811
 
7.9%
( 3811
 
7.9%
2 2506
 
5.2%
, 2437
 
5.1%
0 2013
 
4.2%
3 1782
 
3.7%
4 1458
 
3.0%
5 1268
 
2.6%
Other values (40) 4880
 
10.2%
Hangul
ValueCountFrequency (%)
동 5040
 
7.1%
산 4963
 
7.0%
부 4803
 
6.8%
광 4279
 
6.0%
시 4193
 
5.9%
구 3993
 
5.6%
역 3974
 
5.6%
로 3915
 
5.5%
대 2013
 
2.8%
길 1575
 
2.2%
Other values (442) 32121
45.3%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct1540
Distinct (%)39.0%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean106834.89
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:13:02.971606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46213
Q147007
median47895
Q348941
95-th percentile612821
Maximum619963
Range573961
Interquartile range (IQR)1934

Descriptive statistics

Standard deviation172761.02
Coefficient of variation (CV)1.6170843
Kurtosis4.6672201
Mean106834.89
Median Absolute Deviation (MAD)920
Skewness2.5813023
Sum4.219978 × 108
Variance2.9846369 × 1010
MonotonicityNot monotonic
2024-04-17T10:13:03.078578image/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%
47209 15
 
0.4%
47296 14
 
0.4%
Other values (1530) 3755
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

Distinct3444
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
2024-04-17T10:13:03.368018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.298179
Min length2

Characters and Unicode

Total characters40719
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

Unique3038 ?
Unique (%)76.8%

Sample

1st row씨유 부산포레호텔점
2nd row세븐일레븐 부산코모도점
3rd row씨유 초량망양로점
4th row이마트24사상중앙점
5th row씨유감전낙동대로점
ValueCountFrequency (%)
gs25 559
 
8.6%
씨유 539
 
8.3%
세븐일레븐 394
 
6.1%
미니스톱 230
 
3.5%
cu 149
 
2.3%
주)코리아세븐 132
 
2.0%
지에스(gs)25 115
 
1.8%
지에스25 81
 
1.2%
이마트24 55
 
0.8%
씨스페이스 22
 
0.3%
Other values (3235) 4217
64.9%
2024-04-17T10:13:03.767571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3783
 
9.3%
2540
 
6.2%
2 1474
 
3.6%
5 1312
 
3.2%
븐 1273
 
3.1%
산 1184
 
2.9%
S 1180
 
2.9%
G 1146
 
2.8%
씨 1076
 
2.6%
부 1071
 
2.6%
Other values (501) 24680
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31346
77.0%
Decimal Number 2944
 
7.2%
Uppercase Letter 2932
 
7.2%
Space Separator 2540
 
6.2%
Close Punctuation 455
 
1.1%
Open Punctuation 453
 
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 3783
 
12.1%
븐 1273
 
4.1%
산 1184
 
3.8%
씨 1076
 
3.4%
부 1071
 
3.4%
유 1070
 
3.4%
스 886
 
2.8%
세 751
 
2.4%
일 742
 
2.4%
대 655
 
2.1%
Other values (457) 18855
60.2%
Uppercase Letter
ValueCountFrequency (%)
S 1180
40.2%
G 1146
39.1%
C 258
 
8.8%
U 255
 
8.7%
K 36
 
1.2%
N 10
 
0.3%
R 9
 
0.3%
H 8
 
0.3%
L 7
 
0.2%
B 5
 
0.2%
Other values (7) 18
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 1474
50.1%
5 1312
44.6%
4 114
 
3.9%
3 20
 
0.7%
1 17
 
0.6%
0 2
 
0.1%
6 2
 
0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
u 8
20.0%
c 8
20.0%
e 6
15.0%
a 4
10.0%
m 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 (%)
2540
100.0%
Close Punctuation
ValueCountFrequency (%)
) 455
100.0%
Open Punctuation
ValueCountFrequency (%)
( 453
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31348
77.0%
Common 6399
 
15.7%
Latin 2972
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3783
 
12.1%
븐 1273
 
4.1%
산 1184
 
3.8%
씨 1076
 
3.4%
부 1071
 
3.4%
유 1070
 
3.4%
스 886
 
2.8%
세 751
 
2.4%
일 742
 
2.4%
대 655
 
2.1%
Other values (458) 18857
60.2%
Latin
ValueCountFrequency (%)
S 1180
39.7%
G 1146
38.6%
C 258
 
8.7%
U 255
 
8.6%
K 36
 
1.2%
N 10
 
0.3%
R 9
 
0.3%
H 8
 
0.3%
u 8
 
0.3%
c 8
 
0.3%
Other values (17) 54
 
1.8%
Common
ValueCountFrequency (%)
2540
39.7%
2 1474
23.0%
5 1312
20.5%
) 455
 
7.1%
( 453
 
7.1%
4 114
 
1.8%
3 20
 
0.3%
1 17
 
0.3%
. 3
 
< 0.1%
0 2
 
< 0.1%
Other values (6) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31345
77.0%
ASCII 9371
 
23.0%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3783
 
12.1%
븐 1273
 
4.1%
산 1184
 
3.8%
씨 1076
 
3.4%
부 1071
 
3.4%
유 1070
 
3.4%
스 886
 
2.8%
세 751
 
2.4%
일 742
 
2.4%
대 655
 
2.1%
Other values (456) 18854
60.1%
ASCII
ValueCountFrequency (%)
2540
27.1%
2 1474
15.7%
5 1312
14.0%
S 1180
12.6%
G 1146
12.2%
) 455
 
4.9%
( 453
 
4.8%
C 258
 
2.8%
U 255
 
2.7%
4 114
 
1.2%
Other values (33) 184
 
2.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct3954
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0171657 × 1013
Minimum2.0130712 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:13:03.884878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130712 × 1013
5-th percentile2.0130819 × 1013
Q12.0150825 × 1013
median2.0171126 × 1013
Q32.0190917 × 1013
95-th percentile2.0201016 × 1013
Maximum2.0210129 × 1013
Range7.9417068 × 1010
Interquartile range (IQR)4.0091548 × 1010

Descriptive statistics

Standard deviation2.3406714 × 1010
Coefficient of variation (CV)0.0011603764
Kurtosis-1.132963
Mean2.0171657 × 1013
Median Absolute Deviation (MAD)1.9891999 × 1010
Skewness-0.32448201
Sum7.9758732 × 1016
Variance5.4787426 × 1020
MonotonicityNot monotonic
2024-04-17T10:13:04.007245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181102155609 1
 
< 0.1%
20140112125416 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 (3944) 3944
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 (%)
20210129170151 1
< 0.1%
20210129145305 1
< 0.1%
20210129115742 1
< 0.1%
20210128170926 1
< 0.1%
20210128170358 1
< 0.1%
20210128164701 1
< 0.1%
20210128143901 1
< 0.1%
20210127152229 1
< 0.1%
20210127151854 1
< 0.1%
20210126103958 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
I
3056 
U
898 

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 3056
77.3%
U 898
 
22.7%

Length

2024-04-17T10:13:04.142023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:13:04.222468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3056
77.3%
u 898
 
22.7%

데이터갱신일자
Date

Distinct808
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-17T10:13:04.308357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:13:04.442965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3954
Missing (%)100.0%
Memory size34.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2742
Distinct (%)70.4%
Missing58
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean388065.27
Minimum204412.09
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:13:04.557518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204412.09
5-th percentile378917.27
Q1383933.05
median388642.22
Q3391930
95-th percentile398363.11
Maximum407507.94
Range203095.85
Interquartile range (IQR)7996.9489

Descriptive statistics

Standard deviation6992.5172
Coefficient of variation (CV)0.01801892
Kurtosis121.75886
Mean388065.27
Median Absolute Deviation (MAD)3808.2504
Skewness-4.8191758
Sum1.5119023 × 109
Variance48895297
MonotonicityNot monotonic
2024-04-17T10:13:04.676258image/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
 
0.2%
392084.650637222 6
 
0.2%
394189.376691755 6
 
0.2%
387823.225399076 5
 
0.1%
388108.400015482 5
 
0.1%
390160.598018585 5
 
0.1%
386501.282456518 5
 
0.1%
389562.757250932 5
 
0.1%
Other values (2732) 3838
97.1%
(Missing) 58
 
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 

Distinct2744
Distinct (%)70.4%
Missing58
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean187365.13
Minimum169703.39
Maximum445110.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:13:04.797483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile177979.61
Q1183481.94
median186918.22
Q3191001.75
95-th percentile197716.04
Maximum445110.29
Range275406.89
Interquartile range (IQR)7519.8094

Descriptive statistics

Standard deviation7384.3366
Coefficient of variation (CV)0.039411478
Kurtosis380.3279
Mean187365.13
Median Absolute Deviation (MAD)3861.003
Skewness11.195065
Sum7.2997454 × 108
Variance54528428
MonotonicityNot monotonic
2024-04-17T10:13:04.905997image/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%
185058.950891149 6
 
0.2%
186104.560408303 6
 
0.2%
187747.442298015 6
 
0.2%
196001.045065377 5
 
0.1%
198370.857509743 5
 
0.1%
196112.065133691 5
 
0.1%
188769.145395714 5
 
0.1%
192159.614250199 5
 
0.1%
Other values (2734) 3838
97.1%
(Missing) 58
 
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 

Distinct600
Distinct (%)22.8%
Missing1325
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean74.81267
Minimum3
Maximum4038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-17T10:13:05.019837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33
Q149.5
median66
Q388
95-th percentile132.452
Maximum4038
Range4035
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation88.228269
Coefficient of variation (CV)1.1793226
Kurtosis1555.1969
Mean74.81267
Median Absolute Deviation (MAD)16.5
Skewness35.217395
Sum196682.51
Variance7784.2275
MonotonicityNot monotonic
2024-04-17T10:13:05.139496image/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 89
 
2.3%
82.5 70
 
1.8%
33.0 68
 
1.7%
59.4 54
 
1.4%
60.0 51
 
1.3%
50.0 44
 
1.1%
100.0 40
 
1.0%
132.0 36
 
0.9%
Other values (590) 1753
44.3%
(Missing) 1325
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 

Missing3954
Missing (%)100.0%
Memory size34.9 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
39443945안전상비의약품 판매업소01_01_05_P3350000PHMH32018335002408750002420181024<NA>3폐업3폐업20201013<NA><NA><NA><NA><NA><NA>부산광역시 금정구 남산동 130번지 9호부산광역시 금정구 두실로 16, 1층 (남산동)46227GS25 남산삼한점20201013172603U2020-10-15 02:40:00.0<NA>390092.733731197716.039484100.0<NA>
39453946안전상비의약품 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>
39463947안전상비의약품 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>
39473948안전상비의약품 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>
39483949안전상비의약품 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>
39493950안전상비의약품 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>
39503951안전상비의약품 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>
39513952안전상비의약품 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>
39523953안전상비의약품 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>
39533954안전상비의약품 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>