Overview

Dataset statistics

Number of variables4
Number of observations25
Missing cells10
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 B
Average record size in memory38.3 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시 수영구 소재 방문판매업체에 대한 데이터로 해당 업체(법인) 상호, 주소, 전화번호 등의 항목을 제공합니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/3044037/fileData.do

Alerts

소재지전화번호 has 10 (40.0%) missing valuesMissing
번호 has unique valuesUnique
법인또는상호 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:05:33.382953
Analysis finished2023-12-12 21:05:33.915025
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:05:33.992287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-13T06:05:34.147599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

법인또는상호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:05:34.363175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.68
Min length4

Characters and Unicode

Total characters217
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row뉴랜드올네이처
2nd row종근당건강 헬스벨스토리 부산광안점
3rd row현대망미판매대리점
4th row종근당건강헬스벨스토리부산민락점
5th row고려홍삼
ValueCountFrequency (%)
에치와이 2
 
4.9%
뉴랜드올네이처 1
 
2.4%
햅 1
 
2.4%
실버그린 1
 
2.4%
녹즙나라 1
 
2.4%
주)은광유비텍 1
 
2.4%
현대광안판매대리점 1
 
2.4%
비알엠연구소 1
 
2.4%
주)광시스템 1
 
2.4%
오 1
 
2.4%
Other values (30) 30
73.2%
2023-12-13T06:05:34.756323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
7.4%
스 8
 
3.7%
점 7
 
3.2%
대 6
 
2.8%
광 6
 
2.8%
리 6
 
2.8%
산 5
 
2.3%
( 4
 
1.8%
) 4
 
1.8%
안 4
 
1.8%
Other values (105) 151
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
82.5%
Space Separator 16
 
7.4%
Lowercase Letter 10
 
4.6%
Open Punctuation 4
 
1.8%
Close Punctuation 4
 
1.8%
Uppercase Letter 4
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 8
 
4.5%
점 7
 
3.9%
대 6
 
3.4%
광 6
 
3.4%
리 6
 
3.4%
산 5
 
2.8%
안 4
 
2.2%
부 4
 
2.2%
나 4
 
2.2%
판 3
 
1.7%
Other values (94) 126
70.4%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
n 3
30.0%
h 2
20.0%
e 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
A 1
25.0%
H 1
25.0%
O 1
25.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
82.5%
Common 24
 
11.1%
Latin 14
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 8
 
4.5%
점 7
 
3.9%
대 6
 
3.4%
광 6
 
3.4%
리 6
 
3.4%
산 5
 
2.8%
안 4
 
2.2%
부 4
 
2.2%
나 4
 
2.2%
판 3
 
1.7%
Other values (94) 126
70.4%
Latin
ValueCountFrequency (%)
a 4
28.6%
n 3
21.4%
h 2
14.3%
P 1
 
7.1%
A 1
 
7.1%
H 1
 
7.1%
O 1
 
7.1%
e 1
 
7.1%
Common
ValueCountFrequency (%)
16
66.7%
( 4
 
16.7%
) 4
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
82.5%
ASCII 38
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
42.1%
( 4
 
10.5%
) 4
 
10.5%
a 4
 
10.5%
n 3
 
7.9%
h 2
 
5.3%
P 1
 
2.6%
A 1
 
2.6%
H 1
 
2.6%
O 1
 
2.6%
Hangul
ValueCountFrequency (%)
스 8
 
4.5%
점 7
 
3.9%
대 6
 
3.4%
광 6
 
3.4%
리 6
 
3.4%
산 5
 
2.8%
안 4
 
2.2%
부 4
 
2.2%
나 4
 
2.2%
판 3
 
1.7%
Other values (94) 126
70.4%

소재지전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing10
Missing (%)40.0%
Memory size332.0 B
2023-12-13T06:05:34.971956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters180
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row051-758-5050
2nd row051-756-9990
3rd row051-741-8891
4th row051-756-0756
5th row051-631-7788
ValueCountFrequency (%)
051-758-5050 1
 
6.7%
051-756-9990 1
 
6.7%
051-741-8891 1
 
6.7%
051-756-0756 1
 
6.7%
051-631-7788 1
 
6.7%
051-761-3840 1
 
6.7%
051-626-9998 1
 
6.7%
051-757-1010 1
 
6.7%
051-808-0011 1
 
6.7%
051-627-9700 1
 
6.7%
Other values (5) 5
33.3%
2023-12-13T06:05:35.298237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30
16.7%
0 29
16.1%
1 28
15.6%
5 26
14.4%
7 20
11.1%
6 13
7.2%
9 10
 
5.6%
8 9
 
5.0%
2 8
 
4.4%
4 4
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
83.3%
Dash Punctuation 30
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29
19.3%
1 28
18.7%
5 26
17.3%
7 20
13.3%
6 13
8.7%
9 10
 
6.7%
8 9
 
6.0%
2 8
 
5.3%
4 4
 
2.7%
3 3
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 30
16.7%
0 29
16.1%
1 28
15.6%
5 26
14.4%
7 20
11.1%
6 13
7.2%
9 10
 
5.6%
8 9
 
5.0%
2 8
 
4.4%
4 4
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30
16.7%
0 29
16.1%
1 28
15.6%
5 26
14.4%
7 20
11.1%
6 13
7.2%
9 10
 
5.6%
8 9
 
5.0%
2 8
 
4.4%
4 4
 
2.2%

소재지주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:05:35.532185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length30.72
Min length22

Characters and Unicode

Total characters768
Distinct characters74
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row부산광역시 수영구 과정로41번길 58， 2층 (망미동)
2nd row부산광역시 수영구 수영로 518， 1층 (광안동)
3rd row부산광역시 수영구 광남로 210， 2층 (민락동)
4th row부산광역시 수영구 무학로63번길 142， 401동 112호 (민락동， 센텀비스타동원2차)
5th row부산광역시 수영구 광일로29번가길 99， 1층 (광안동)
ValueCountFrequency (%)
부산광역시 25
16.7%
수영구 25
16.7%
광안동 11
 
7.3%
망미동 5
 
3.3%
수영로 5
 
3.3%
남천동 5
 
3.3%
광남로 4
 
2.7%
2층 3
 
2.0%
1층 3
 
2.0%
민락동， 2
 
1.3%
Other values (62) 62
41.3%
2023-12-13T06:05:35.988173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
16.3%
광 44
 
5.7%
수 36
 
4.7%
영 35
 
4.6%
동 30
 
3.9%
부 26
 
3.4%
로 26
 
3.4%
산 26
 
3.4%
) 25
 
3.3%
1 25
 
3.3%
Other values (64) 370
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
58.1%
Decimal Number 127
 
16.5%
Space Separator 125
 
16.3%
Close Punctuation 25
 
3.3%
Open Punctuation 25
 
3.3%
Other Punctuation 19
 
2.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 44
 
9.9%
수 36
 
8.1%
영 35
 
7.8%
동 30
 
6.7%
부 26
 
5.8%
로 26
 
5.8%
산 26
 
5.8%
역 25
 
5.6%
구 25
 
5.6%
시 25
 
5.6%
Other values (49) 148
33.2%
Decimal Number
ValueCountFrequency (%)
1 25
19.7%
2 22
17.3%
0 15
11.8%
5 13
10.2%
3 11
8.7%
6 11
8.7%
4 10
 
7.9%
9 8
 
6.3%
7 7
 
5.5%
8 5
 
3.9%
Space Separator
ValueCountFrequency (%)
125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
， 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
58.1%
Common 322
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 44
 
9.9%
수 36
 
8.1%
영 35
 
7.8%
동 30
 
6.7%
부 26
 
5.8%
로 26
 
5.8%
산 26
 
5.8%
역 25
 
5.6%
구 25
 
5.6%
시 25
 
5.6%
Other values (49) 148
33.2%
Common
ValueCountFrequency (%)
125
38.8%
) 25
 
7.8%
1 25
 
7.8%
( 25
 
7.8%
2 22
 
6.8%
， 19
 
5.9%
0 15
 
4.7%
5 13
 
4.0%
3 11
 
3.4%
6 11
 
3.4%
Other values (5) 31
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
58.1%
ASCII 303
39.5%
None 19
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
41.3%
) 25
 
8.3%
1 25
 
8.3%
( 25
 
8.3%
2 22
 
7.3%
0 15
 
5.0%
5 13
 
4.3%
3 11
 
3.6%
6 11
 
3.6%
4 10
 
3.3%
Other values (4) 21
 
6.9%
Hangul
ValueCountFrequency (%)
광 44
 
9.9%
수 36
 
8.1%
영 35
 
7.8%
동 30
 
6.7%
부 26
 
5.8%
로 26
 
5.8%
산 26
 
5.8%
역 25
 
5.6%
구 25
 
5.6%
시 25
 
5.6%
Other values (49) 148
33.2%
None
ValueCountFrequency (%)
， 19
100.0%

Interactions

2023-12-13T06:05:33.635956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:05:36.394695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인또는상호소재지전화번호소재지주소
번호1.0001.0001.0001.000
법인또는상호1.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.000
소재지주소1.0001.0001.0001.000

Missing values

2023-12-13T06:05:33.758129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:05:33.871497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호법인또는상호소재지전화번호소재지주소
01뉴랜드올네이처051-758-5050부산광역시 수영구 과정로41번길 58， 2층 (망미동)
12종근당건강 헬스벨스토리 부산광안점051-756-9990부산광역시 수영구 수영로 518， 1층 (광안동)
23현대망미판매대리점<NA>부산광역시 수영구 광남로 210， 2층 (민락동)
34종근당건강헬스벨스토리부산민락점051-741-8891부산광역시 수영구 무학로63번길 142， 401동 112호 (민락동， 센텀비스타동원2차)
45고려홍삼051-756-0756부산광역시 수영구 광일로29번가길 99， 1층 (광안동)
56알즈너 부산 환희<NA>부산광역시 수영구 황령대로 521， 메가마트 남천점 (남천동)
67체체의 보라빛정원<NA>부산광역시 수영구 수영로610번길 65， 101호 (광안동)
78하나 헤나(haana henna)<NA>부산광역시 수영구 망미번영로63번길 67 (망미동)
89쌍용자동차 부산수영판매대리점<NA>부산광역시 수영구 수영로 527 (광안동)
910노블레스051-631-7788부산광역시 수영구 수영로545번길 11， 2층 (광안동)
번호법인또는상호소재지전화번호소재지주소
1516(주)은광유비텍051-808-0011부산광역시 수영구 망미배산로24번길 2 (망미동)
1617현대광안판매대리점<NA>부산광역시 수영구 광남로 97-1 (광안동)
1718비알엠연구소<NA>부산광역시 수영구 광안해변로294번길 7， 103동 107호 (민락동， 진로비치아파트)
1819(주)광시스템051-627-9700부산광역시 수영구 광남로 50 (남천동)
1920오 햅 (O HAP)<NA>부산광역시 수영구 수미로25번길 29 (망미동)
2021지나코스메틱051-627-7924부산광역시 수영구 남천동로10번길 34 (남천동)
2122에치와이 광안점051-757-6702부산광역시 수영구 수영로624번길 5， 1층 (광안동)
2223에치와이 대남점051-627-1204부산광역시 수영구 수영로394번길 8 (남천동)
2324윤선생 영어숲 광안어학원051-755-3111부산광역시 수영구 수영로 628， 3층 (광안동)
2425우리유통051-751-6962부산광역시 수영구 광안해변로 100， 102동 1003호 (남천동， 비치아파트)