Overview

Dataset statistics

Number of variables4
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory35.1 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description부산광역시남구_방문판매업현황_20200724
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3081534

Alerts

번호 has unique valuesUnique
법인또는상호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:20:42.108370
Analysis finished2023-12-10 16:20:43.068411
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-11T01:20:43.185892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-11T01:20:43.444175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

법인또는상호
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T01:20:43.883670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length11
Mean length7.5238095
Min length2

Characters and Unicode

Total characters474
Distinct characters196
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row비겐바디케어
2nd row(주)더스토리서울
3rd row혜당생활과학
4th row한일테크
5th row제이에스메디칼
ValueCountFrequency (%)
주식회사 4
 
4.8%
인셀덤 2
 
2.4%
비겐바디케어 1
 
1.2%
주)마루정보 1
 
1.2%
지니 1
 
1.2%
여화현 1
 
1.2%
용호점 1
 
1.2%
한국야쿠르트 1
 
1.2%
헬스 1
 
1.2%
바이오 1
 
1.2%
Other values (69) 69
83.1%
2023-12-11T01:20:44.505515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
4.2%
부 14
 
3.0%
산 11
 
2.3%
남 11
 
2.3%
대 11
 
2.3%
이 10
 
2.1%
리 10
 
2.1%
동 9
 
1.9%
스 9
 
1.9%
사 9
 
1.9%
Other values (186) 360
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
88.2%
Space Separator 20
 
4.2%
Lowercase Letter 12
 
2.5%
Open Punctuation 7
 
1.5%
Close Punctuation 7
 
1.5%
Uppercase Letter 7
 
1.5%
Other Symbol 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 14
 
3.3%
산 11
 
2.6%
남 11
 
2.6%
대 11
 
2.6%
이 10
 
2.4%
리 10
 
2.4%
동 9
 
2.2%
스 9
 
2.2%
사 9
 
2.2%
점 7
 
1.7%
Other values (167) 317
75.8%
Lowercase Letter
ValueCountFrequency (%)
i 2
16.7%
t 2
16.7%
r 2
16.7%
a 2
16.7%
e 1
8.3%
n 1
8.3%
l 1
8.3%
g 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
P 1
14.3%
S 1
14.3%
Y 1
14.3%
D 1
14.3%
H 1
14.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 420
88.6%
Common 35
 
7.4%
Latin 19
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 14
 
3.3%
산 11
 
2.6%
남 11
 
2.6%
대 11
 
2.6%
이 10
 
2.4%
리 10
 
2.4%
동 9
 
2.1%
스 9
 
2.1%
사 9
 
2.1%
점 7
 
1.7%
Other values (168) 319
76.0%
Latin
ValueCountFrequency (%)
i 2
10.5%
t 2
10.5%
r 2
10.5%
B 2
10.5%
a 2
10.5%
e 1
 
5.3%
n 1
 
5.3%
P 1
 
5.3%
l 1
 
5.3%
g 1
 
5.3%
Other values (4) 4
21.1%
Common
ValueCountFrequency (%)
20
57.1%
( 7
 
20.0%
) 7
 
20.0%
& 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
88.2%
ASCII 54
 
11.4%
None 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
37.0%
( 7
 
13.0%
) 7
 
13.0%
i 2
 
3.7%
t 2
 
3.7%
r 2
 
3.7%
B 2
 
3.7%
a 2
 
3.7%
& 1
 
1.9%
e 1
 
1.9%
Other values (8) 8
 
14.8%
Hangul
ValueCountFrequency (%)
부 14
 
3.3%
산 11
 
2.6%
남 11
 
2.6%
대 11
 
2.6%
이 10
 
2.4%
리 10
 
2.4%
동 9
 
2.2%
스 9
 
2.2%
사 9
 
2.2%
점 7
 
1.7%
Other values (167) 317
75.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지주소
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T01:20:44.853097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length32.698413
Min length9

Characters and Unicode

Total characters2060
Distinct characters138
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row부산광역시 남구 못골번영로 1， 아비뇽빌딩 5층 (대연동)
2nd row부산광역시 남구 수영로 233， 민석빌딩 1402호 (대연동)
3rd row부산광역시 남구 수영로219번길 12-10， 2층 (대연동)
4th row부산광역시 남구 용호로 191， 3층 (용호동)
5th row부산광역시 남구 진남로70번길 1， 401호 (대연동)
ValueCountFrequency (%)
부산광역시 62
 
15.2%
남구 61
 
15.0%
대연동 21
 
5.2%
수영로 12
 
2.9%
문현동 11
 
2.7%
대연동， 9
 
2.2%
2층 7
 
1.7%
용호동， 6
 
1.5%
용당동 5
 
1.2%
1층 4
 
1.0%
Other values (178) 209
51.4%
2023-12-11T01:20:45.400341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
16.7%
1 93
 
4.5%
동 82
 
4.0%
， 73
 
3.5%
시 67
 
3.3%
남 67
 
3.3%
2 65
 
3.2%
산 64
 
3.1%
로 64
 
3.1%
부 63
 
3.1%
Other values (128) 1078
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1111
53.9%
Decimal Number 379
 
18.4%
Space Separator 344
 
16.7%
Other Punctuation 73
 
3.5%
Close Punctuation 62
 
3.0%
Open Punctuation 62
 
3.0%
Dash Punctuation 14
 
0.7%
Uppercase Letter 10
 
0.5%
Lowercase Letter 4
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 82
 
7.4%
시 67
 
6.0%
남 67
 
6.0%
산 64
 
5.8%
로 64
 
5.8%
부 63
 
5.7%
광 63
 
5.7%
역 62
 
5.6%
구 62
 
5.6%
호 45
 
4.1%
Other values (100) 472
42.5%
Decimal Number
ValueCountFrequency (%)
1 93
24.5%
2 65
17.2%
0 51
13.5%
3 44
11.6%
4 28
 
7.4%
6 23
 
6.1%
7 21
 
5.5%
9 19
 
5.0%
5 18
 
4.7%
8 17
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
S 1
10.0%
K 1
10.0%
V 1
10.0%
I 1
10.0%
E 1
10.0%
W 1
10.0%
H 1
10.0%
C 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
i 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Other Punctuation
ValueCountFrequency (%)
， 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1111
53.9%
Common 935
45.4%
Latin 14
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 82
 
7.4%
시 67
 
6.0%
남 67
 
6.0%
산 64
 
5.8%
로 64
 
5.8%
부 63
 
5.7%
광 63
 
5.7%
역 62
 
5.6%
구 62
 
5.6%
호 45
 
4.1%
Other values (100) 472
42.5%
Common
ValueCountFrequency (%)
344
36.8%
1 93
 
9.9%
， 73
 
7.8%
2 65
 
7.0%
) 62
 
6.6%
( 62
 
6.6%
0 51
 
5.5%
3 44
 
4.7%
4 28
 
3.0%
6 23
 
2.5%
Other values (6) 90
 
9.6%
Latin
ValueCountFrequency (%)
l 2
14.3%
A 2
14.3%
S 1
7.1%
K 1
7.1%
V 1
7.1%
I 1
7.1%
E 1
7.1%
W 1
7.1%
H 1
7.1%
i 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1111
53.9%
ASCII 876
42.5%
None 73
 
3.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
39.3%
1 93
 
10.6%
2 65
 
7.4%
) 62
 
7.1%
( 62
 
7.1%
0 51
 
5.8%
3 44
 
5.0%
4 28
 
3.2%
6 23
 
2.6%
7 21
 
2.4%
Other values (17) 83
 
9.5%
Hangul
ValueCountFrequency (%)
동 82
 
7.4%
시 67
 
6.0%
남 67
 
6.0%
산 64
 
5.8%
로 64
 
5.8%
부 63
 
5.7%
광 63
 
5.7%
역 62
 
5.6%
구 62
 
5.6%
호 45
 
4.1%
Other values (100) 472
42.5%
None
ValueCountFrequency (%)
， 73
100.0%

취급품목
Categorical

Distinct21
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
기타
11 
건강식품
10 
자동차/자동차용품
8 
화장품/미용용품
7 
-
6 
Other values (16)
21 

Length

Max length55
Median length40
Mean length8.0952381
Min length1

Unique

Unique12 ?
Unique (%)19.0%

Sample

1st row건강식품 기타
2nd row-
3rd row화장품/미용용품 생활용품/세제류 가전
4th row건강식품 화장품/미용용품 생활용품/세제류 가전
5th row화장품/미용용품 기타

Common Values

ValueCountFrequency (%)
기타 11
17.5%
건강식품 10
15.9%
자동차/자동차용품 8
12.7%
화장품/미용용품 7
11.1%
- 6
9.5%
교육/도서 3
 
4.8%
생활용품/세제류 2
 
3.2%
가전 2
 
3.2%
건강식품 화장품/미용용품 2
 
3.2%
건강식품 화장품/미용용품 생활용품/세제류 회원권/상품권 가전 의류/패션 기타 1
 
1.6%
Other values (11) 11
17.5%

Length

2023-12-11T01:20:45.627410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건강식품 20
21.1%
화장품/미용용품 17
17.9%
기타 16
16.8%
자동차/자동차용품 8
 
8.4%
생활용품/세제류 8
 
8.4%
가전 8
 
8.4%
6
 
6.3%
교육/도서 4
 
4.2%
의류/패션 4
 
4.2%
회원권/상품권 3
 
3.2%

Interactions

2023-12-11T01:20:42.656857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:20:45.757157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인또는상호소재지주소취급품목
번호1.0001.0001.0000.646
법인또는상호1.0001.0001.0001.000
소재지주소1.0001.0001.0001.000
취급품목0.6461.0001.0001.000
2023-12-11T01:20:45.884554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호취급품목
번호1.0000.253
취급품목0.2531.000

Missing values

2023-12-11T01:20:42.856524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:20:43.019480image/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

번호법인또는상호소재지주소취급품목
01비겐바디케어부산광역시 남구 못골번영로 1， 아비뇽빌딩 5층 (대연동)건강식품 기타
12(주)더스토리서울부산광역시 남구 수영로 233， 민석빌딩 1402호 (대연동)-
23혜당생활과학부산광역시 남구 수영로219번길 12-10， 2층 (대연동)화장품/미용용품 생활용품/세제류 가전
34한일테크부산광역시 남구 용호로 191， 3층 (용호동)건강식품 화장품/미용용품 생활용품/세제류 가전
45제이에스메디칼부산광역시 남구 진남로70번길 1， 401호 (대연동)화장품/미용용품 기타
56동남방송 낙동방송 서부산방송(동남유선통신)부산광역시 남구 유엔평화로17번길 77， 1층 (대연동)-
67가람부산광역시 남구 수영로 312， 21 센츄리시티 오피스텔 1708-3호 (대연동)기타
78인셀덤 남구부산광역시 남구 분포로 145， 비동 503호 (용호동， 더블유)화장품/미용용품
89주식회사 해피하이부산광역시 남구 수영로 237， 501호 (대연동)건강식품 화장품/미용용품 생활용품/세제류 회원권/상품권 가전 의류/패션
910인셀덤포유부산광역시 남구 홍곡로 360， 114동 705호 (대연동， 대연파크푸르지오)화장품/미용용품
번호법인또는상호소재지주소취급품목
5354온누리종합상사부산광역시 남구 고동골로 10-1 (문현동)건강식품
5455그린훼밀리부산광역시 남구 전포대로 37 (문현동)가전
5556부산남구지사부산광역시 남구 천제등로16번길 3， 102호 (대연동，만호그랜드타워)건강식품
5657거손환경산업부산광역시 남구 고동골로78번길 69 (문현동)생활용품/세제류
5758쌍용자동차부산남부대리점부산광역시 남구 수영로 60， 지산빌딩 1층 (문현동)자동차/자동차용품
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5960현대용호판매대리점용호1동160-2자동차/자동차용품
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