Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells15
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.3 B

Variable types

Numeric1
Text4

Dataset

Description부산광역시수영구_방문판매업_20230831
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15122314

Alerts

소재지전화번호 has 15 (48.4%) missing valuesMissing
번호 has unique valuesUnique
법인또는상호 has unique valuesUnique
전자우편 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:17:18.102091
Analysis finished2023-12-10 16:17:18.747520
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T01:17:18.816941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-11T01:17:18.996236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

법인또는상호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:17:19.259502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length8
Min length3

Characters and Unicode

Total characters248
Distinct characters129
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

Unique31 ?
Unique (%)100.0%

Sample

1st row바디닥터
2nd row현대헬스케어
3rd row(T)멀티샵
4th row부경산업
5th row보라팀
ValueCountFrequency (%)
에치와이 2
 
4.3%
바디닥터 1
 
2.1%
오 1
 
2.1%
한미물산 1
 
2.1%
돈오정보통신 1
 
2.1%
주식회사 1
 
2.1%
실버그린 1
 
2.1%
녹즙나라 1
 
2.1%
주)은광유비텍 1
 
2.1%
현대광안판매대리점 1
 
2.1%
Other values (36) 36
76.6%
2023-12-11T01:17:19.705532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
6.5%
스 9
 
3.6%
리 8
 
3.2%
점 7
 
2.8%
대 7
 
2.8%
광 6
 
2.4%
산 6
 
2.4%
( 5
 
2.0%
) 5
 
2.0%
부 5
 
2.0%
Other values (119) 174
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
83.5%
Space Separator 16
 
6.5%
Lowercase Letter 10
 
4.0%
Open Punctuation 5
 
2.0%
Close Punctuation 5
 
2.0%
Uppercase Letter 5
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 9
 
4.3%
리 8
 
3.9%
점 7
 
3.4%
대 7
 
3.4%
광 6
 
2.9%
산 6
 
2.9%
부 5
 
2.4%
나 4
 
1.9%
이 4
 
1.9%
안 4
 
1.9%
Other values (107) 147
71.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
20.0%
A 1
20.0%
H 1
20.0%
O 1
20.0%
T 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
n 3
30.0%
h 2
20.0%
e 1
 
10.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
83.5%
Common 26
 
10.5%
Latin 15
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 9
 
4.3%
리 8
 
3.9%
점 7
 
3.4%
대 7
 
3.4%
광 6
 
2.9%
산 6
 
2.9%
부 5
 
2.4%
나 4
 
1.9%
이 4
 
1.9%
안 4
 
1.9%
Other values (107) 147
71.0%
Latin
ValueCountFrequency (%)
a 4
26.7%
n 3
20.0%
h 2
13.3%
P 1
 
6.7%
A 1
 
6.7%
H 1
 
6.7%
O 1
 
6.7%
T 1
 
6.7%
e 1
 
6.7%
Common
ValueCountFrequency (%)
16
61.5%
( 5
 
19.2%
) 5
 
19.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
83.5%
ASCII 41
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
39.0%
( 5
 
12.2%
) 5
 
12.2%
a 4
 
9.8%
n 3
 
7.3%
h 2
 
4.9%
P 1
 
2.4%
A 1
 
2.4%
H 1
 
2.4%
O 1
 
2.4%
Other values (2) 2
 
4.9%
Hangul
ValueCountFrequency (%)
스 9
 
4.3%
리 8
 
3.9%
점 7
 
3.4%
대 7
 
3.4%
광 6
 
2.9%
산 6
 
2.9%
부 5
 
2.4%
나 4
 
1.9%
이 4
 
1.9%
안 4
 
1.9%
Other values (107) 147
71.0%

소재지전화번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing15
Missing (%)48.4%
Memory size380.0 B
2023-12-11T01:17:19.915490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters192
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

Unique16 ?
Unique (%)100.0%

Sample

1st row051-751-8100
2nd row051-758-5050
3rd row051-756-9990
4th row051-741-8891
5th row051-756-0756
ValueCountFrequency (%)
051-751-8100 1
 
6.2%
051-758-5050 1
 
6.2%
051-756-9990 1
 
6.2%
051-741-8891 1
 
6.2%
051-756-0756 1
 
6.2%
051-631-7788 1
 
6.2%
051-761-3840 1
 
6.2%
051-626-9998 1
 
6.2%
051-757-1010 1
 
6.2%
051-808-0011 1
 
6.2%
Other values (6) 6
37.5%
2023-12-11T01:17:20.233110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
16.7%
- 32
16.7%
1 31
16.1%
5 28
14.6%
7 21
10.9%
6 13
6.8%
8 10
 
5.2%
9 10
 
5.2%
2 8
 
4.2%
4 4
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
83.3%
Dash Punctuation 32
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
20.0%
1 31
19.4%
5 28
17.5%
7 21
13.1%
6 13
8.1%
8 10
 
6.2%
9 10
 
6.2%
2 8
 
5.0%
4 4
 
2.5%
3 3
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
16.7%
- 32
16.7%
1 31
16.1%
5 28
14.6%
7 21
10.9%
6 13
6.8%
8 10
 
5.2%
9 10
 
5.2%
2 8
 
4.2%
4 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
16.7%
- 32
16.7%
1 31
16.1%
5 28
14.6%
7 21
10.9%
6 13
6.8%
8 10
 
5.2%
9 10
 
5.2%
2 8
 
4.2%
4 4
 
2.1%

전자우편
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:17:20.467440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.096774
Min length15

Characters and Unicode

Total characters592
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st rowwjdska31@nvaer.com
2nd rowwkdckd1313@naver.com
3rd rowkinder0828@naver.com
4th rowbkbea8100@naver.com
5th rowjungae.songahn@gmail.com
ValueCountFrequency (%)
wjdska31@nvaer.com 1
 
3.2%
pusancsh@hanmail.net 1
 
3.2%
okay7238@nate.com 1
 
3.2%
yangkh410@naver.com 1
 
3.2%
a2542@yakult.co.kr 1
 
3.2%
ginanail@hanmail.net 1
 
3.2%
jangkiwon@yahoo.co.kr 1
 
3.2%
opticalsystem@naver.com 1
 
3.2%
mmjj55@naver.com 1
 
3.2%
rokmc650@hanmail.net 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T01:17:20.805039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 56
 
9.5%
n 45
 
7.6%
m 43
 
7.3%
e 36
 
6.1%
o 34
 
5.7%
. 34
 
5.7%
@ 31
 
5.2%
c 27
 
4.6%
0 21
 
3.5%
i 20
 
3.4%
Other values (35) 245
41.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 413
69.8%
Decimal Number 99
 
16.7%
Other Punctuation 65
 
11.0%
Uppercase Letter 15
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 56
13.6%
n 45
10.9%
m 43
10.4%
e 36
 
8.7%
o 34
 
8.2%
c 27
 
6.5%
i 20
 
4.8%
r 19
 
4.6%
l 16
 
3.9%
k 15
 
3.6%
Other values (12) 102
24.7%
Uppercase Letter
ValueCountFrequency (%)
O 4
26.7%
K 2
13.3%
J 1
 
6.7%
I 1
 
6.7%
W 1
 
6.7%
N 1
 
6.7%
Y 1
 
6.7%
A 1
 
6.7%
H 1
 
6.7%
C 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 21
21.2%
1 18
18.2%
5 12
12.1%
3 10
10.1%
7 9
9.1%
8 9
9.1%
2 8
 
8.1%
4 5
 
5.1%
6 4
 
4.0%
9 3
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 34
52.3%
@ 31
47.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 428
72.3%
Common 164
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 56
13.1%
n 45
 
10.5%
m 43
 
10.0%
e 36
 
8.4%
o 34
 
7.9%
c 27
 
6.3%
i 20
 
4.7%
r 19
 
4.4%
l 16
 
3.7%
k 15
 
3.5%
Other values (23) 117
27.3%
Common
ValueCountFrequency (%)
. 34
20.7%
@ 31
18.9%
0 21
12.8%
1 18
11.0%
5 12
 
7.3%
3 10
 
6.1%
7 9
 
5.5%
8 9
 
5.5%
2 8
 
4.9%
4 5
 
3.0%
Other values (2) 7
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 56
 
9.5%
n 45
 
7.6%
m 43
 
7.3%
e 36
 
6.1%
o 34
 
5.7%
. 34
 
5.7%
@ 31
 
5.2%
c 27
 
4.6%
0 21
 
3.5%
i 20
 
3.4%
Other values (35) 245
41.4%

소재지주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:17:21.059534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length31.516129
Min length22

Characters and Unicode

Total characters977
Distinct characters80
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

Unique31 ?
Unique (%)100.0%

Sample

1st row부산광역시 수영구 광안해변로 299， 민락동씨랜드활어센타 603호 (민락동)
2nd row부산광역시 수영구 광남로 33， 한진빌딩 2층 (남천동)
3rd row부산광역시 수영구 광남로 230， 2，3층 (민락동)
4th row부산광역시 수영구 수영로674번길 28， 2층 203호 (광안동)
5th row부산광역시 수영구 수영로 754， 105동 2005호 (민락동， 센텀비스타동원)
ValueCountFrequency (%)
부산광역시 31
 
16.2%
수영구 31
 
16.2%
광안동 12
 
6.3%
광남로 7
 
3.7%
2층 6
 
3.1%
남천동 6
 
3.1%
수영로 6
 
3.1%
망미동 5
 
2.6%
민락동 4
 
2.1%
민락동， 3
 
1.6%
Other values (77) 80
41.9%
2023-12-11T01:17:21.503786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
 
16.4%
광 55
 
5.6%
수 44
 
4.5%
영 43
 
4.4%
동 39
 
4.0%
부 32
 
3.3%
2 32
 
3.3%
산 32
 
3.3%
로 32
 
3.3%
구 31
 
3.2%
Other values (70) 477
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
57.6%
Decimal Number 164
 
16.8%
Space Separator 160
 
16.4%
Close Punctuation 31
 
3.2%
Open Punctuation 31
 
3.2%
Other Punctuation 27
 
2.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 55
 
9.8%
수 44
 
7.8%
영 43
 
7.6%
동 39
 
6.9%
부 32
 
5.7%
산 32
 
5.7%
로 32
 
5.7%
구 31
 
5.5%
시 31
 
5.5%
역 31
 
5.5%
Other values (55) 193
34.3%
Decimal Number
ValueCountFrequency (%)
2 32
19.5%
1 26
15.9%
0 22
13.4%
3 17
10.4%
5 16
9.8%
6 14
8.5%
4 12
 
7.3%
9 10
 
6.1%
7 9
 
5.5%
8 6
 
3.7%
Space Separator
ValueCountFrequency (%)
160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Punctuation
ValueCountFrequency (%)
， 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
57.6%
Common 414
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 55
 
9.8%
수 44
 
7.8%
영 43
 
7.6%
동 39
 
6.9%
부 32
 
5.7%
산 32
 
5.7%
로 32
 
5.7%
구 31
 
5.5%
시 31
 
5.5%
역 31
 
5.5%
Other values (55) 193
34.3%
Common
ValueCountFrequency (%)
160
38.6%
2 32
 
7.7%
) 31
 
7.5%
( 31
 
7.5%
， 27
 
6.5%
1 26
 
6.3%
0 22
 
5.3%
3 17
 
4.1%
5 16
 
3.9%
6 14
 
3.4%
Other values (5) 38
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
57.6%
ASCII 387
39.6%
None 27
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
41.3%
2 32
 
8.3%
) 31
 
8.0%
( 31
 
8.0%
1 26
 
6.7%
0 22
 
5.7%
3 17
 
4.4%
5 16
 
4.1%
6 14
 
3.6%
4 12
 
3.1%
Other values (4) 26
 
6.7%
Hangul
ValueCountFrequency (%)
광 55
 
9.8%
수 44
 
7.8%
영 43
 
7.6%
동 39
 
6.9%
부 32
 
5.7%
산 32
 
5.7%
로 32
 
5.7%
구 31
 
5.5%
시 31
 
5.5%
역 31
 
5.5%
Other values (55) 193
34.3%
None
ValueCountFrequency (%)
， 27
100.0%

Interactions

2023-12-11T01:17:18.406111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:17:21.644939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인또는상호소재지전화번호전자우편소재지주소
번호1.0001.0001.0001.0001.000
법인또는상호1.0001.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.0001.000
전자우편1.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.000

Missing values

2023-12-11T01:17:18.561947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:17:18.707241image/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

번호법인또는상호소재지전화번호전자우편소재지주소
01바디닥터<NA>wjdska31@nvaer.com부산광역시 수영구 광안해변로 299， 민락동씨랜드활어센타 603호 (민락동)
12현대헬스케어<NA>wkdckd1313@naver.com부산광역시 수영구 광남로 33， 한진빌딩 2층 (남천동)
23(T)멀티샵<NA>kinder0828@naver.com부산광역시 수영구 광남로 230， 2，3층 (민락동)
34부경산업051-751-8100bkbea8100@naver.com부산광역시 수영구 수영로674번길 28， 2층 203호 (광안동)
45보라팀<NA>jungae.songahn@gmail.com부산광역시 수영구 수영로 754， 105동 2005호 (민락동， 센텀비스타동원)
56갤러리화장품<NA>01064310703@gmail.com부산광역시 수영구 광남로 206， 2층 (민락동)
67뉴랜드올네이처051-758-5050mangmi5080@hanmail.net부산광역시 수영구 과정로41번길 58， 2층 (망미동)
78종근당건강 헬스벨스토리 부산광안점051-756-9990kjg9800@naver.com부산광역시 수영구 수영로 518， 1층 (광안동)
89현대망미판매대리점<NA>jdm5136@naver.com부산광역시 수영구 광남로 210， 2층 (민락동)
910종근당건강헬스벨스토리부산민락점051-741-8891eomkeeho@gmail.com부산광역시 수영구 무학로63번길 142， 401동 112호 (민락동， 센텀비스타동원2차)
번호법인또는상호소재지전화번호전자우편소재지주소
2122(주)은광유비텍051-808-0011e8ubi@naver.com부산광역시 수영구 망미배산로24번길 2 (망미동)
2223현대광안판매대리점<NA>rokmc650@hanmail.net부산광역시 수영구 광남로 97-1 (광안동)
2324비알엠연구소<NA>mmjj55@naver.com부산광역시 수영구 광안해변로294번길 7， 103동 107호 (민락동， 진로비치아파트)
2425(주)광시스템051-627-9700opticalsystem@naver.com부산광역시 수영구 광남로 50 (남천동)
2526오 햅 (O HAP)<NA>JangKIWON@YAHOO.CO.KR부산광역시 수영구 수미로25번길 29 (망미동)
2627지나코스메틱051-627-7924ginanail@hanmail.net부산광역시 수영구 남천동로10번길 34 (남천동)
2728에치와이 광안점051-757-6702a2542@yakult.co.kr부산광역시 수영구 수영로624번길 5， 1층 (광안동)
2829에치와이 대남점051-627-1204yangkh410@naver.com부산광역시 수영구 수영로394번길 8 (남천동)
2930윤선생 영어숲 광안어학원051-755-3111okay7238@nate.com부산광역시 수영구 수영로 628， 3층 (광안동)
3031우리유통051-751-69620705paradise@hanmail.net부산광역시 수영구 광안해변로 100， 102동 1003호 (남천동， 비치아파트)