Overview

Dataset statistics

Number of variables3
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory27.9 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시남구_동물미용업현황_20230810
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15085240

Alerts

연번 has unique valuesUnique
사업장명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:36:05.517220
Analysis finished2023-12-10 16:36:06.245026
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T01:36:06.353162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-11T01:36:06.557550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

사업장명칭
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:36:06.937001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length6.1777778
Min length2

Characters and Unicode

Total characters278
Distinct characters125
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

Unique45 ?
Unique (%)100.0%

Sample

1st row메트로동물병원
2nd row문현동물병원
3rd row해온동물병원
4th row용호동물병원
5th row지경희동물병원
ValueCountFrequency (%)
뽀독 2
 
3.2%
고양이 2
 
3.2%
대연점 2
 
3.2%
메트로동물병원 1
 
1.6%
무아펫살롱 1
 
1.6%
먼지.zip 1
 
1.6%
멍멍샵 1
 
1.6%
우리집첫째 1
 
1.6%
달봉이네 1
 
1.6%
조양래 1
 
1.6%
Other values (50) 50
79.4%
2023-12-11T01:36:07.557880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
6.5%
동 12
 
4.3%
물 10
 
3.6%
원 10
 
3.6%
병 9
 
3.2%
개 7
 
2.5%
이 6
 
2.2%
점 6
 
2.2%
견 5
 
1.8%
애 5
 
1.8%
Other values (115) 190
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 251
90.3%
Space Separator 18
 
6.5%
Lowercase Letter 3
 
1.1%
Other Punctuation 3
 
1.1%
Decimal Number 2
 
0.7%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12
 
4.8%
물 10
 
4.0%
원 10
 
4.0%
병 9
 
3.6%
개 7
 
2.8%
이 6
 
2.4%
점 6
 
2.4%
견 5
 
2.0%
애 5
 
2.0%
지 5
 
2.0%
Other values (105) 176
70.1%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
z 1
33.3%
i 1
33.3%
Other Punctuation
ValueCountFrequency (%)
# 1
33.3%
. 1
33.3%
& 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 251
90.3%
Common 23
 
8.3%
Latin 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12
 
4.8%
물 10
 
4.0%
원 10
 
4.0%
병 9
 
3.6%
개 7
 
2.8%
이 6
 
2.4%
점 6
 
2.4%
견 5
 
2.0%
애 5
 
2.0%
지 5
 
2.0%
Other values (105) 176
70.1%
Common
ValueCountFrequency (%)
18
78.3%
# 1
 
4.3%
. 1
 
4.3%
2 1
 
4.3%
5 1
 
4.3%
& 1
 
4.3%
Latin
ValueCountFrequency (%)
p 1
25.0%
z 1
25.0%
W 1
25.0%
i 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 251
90.3%
ASCII 27
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
66.7%
p 1
 
3.7%
# 1
 
3.7%
z 1
 
3.7%
W 1
 
3.7%
i 1
 
3.7%
. 1
 
3.7%
2 1
 
3.7%
5 1
 
3.7%
& 1
 
3.7%
Hangul
ValueCountFrequency (%)
동 12
 
4.8%
물 10
 
4.0%
원 10
 
4.0%
병 9
 
3.6%
개 7
 
2.8%
이 6
 
2.4%
점 6
 
2.4%
견 5
 
2.0%
애 5
 
2.0%
지 5
 
2.0%
Other values (105) 176
70.1%

소재지주소(도로명)
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:36:07.985917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length30.444444
Min length21

Characters and Unicode

Total characters1370
Distinct characters116
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row부산광역시 남구 용호로 20, 메트로동물병원 (용호동)
2nd row부산광역시 남구 수영로 38 (문현동)
3rd row부산광역시 남구 용호로 233 (용호동)
4th row부산광역시 남구 용호로123번길 5, 상가동 1층 106호 (용호동, 목련아파트)
5th row부산광역시 남구 용호로 199 (용호동)
ValueCountFrequency (%)
부산광역시 45
 
16.1%
남구 45
 
16.1%
대연동 17
 
6.1%
1층 17
 
6.1%
용호동 13
 
4.6%
수영로 10
 
3.6%
문현동 8
 
2.9%
분포로 5
 
1.8%
용호로 4
 
1.4%
2층 3
 
1.1%
Other values (102) 113
40.4%
2023-12-11T01:36:08.559132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
 
17.2%
1 66
 
4.8%
동 58
 
4.2%
시 49
 
3.6%
로 48
 
3.5%
남 47
 
3.4%
부 45
 
3.3%
광 45
 
3.3%
역 45
 
3.3%
구 45
 
3.3%
Other values (106) 687
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
57.0%
Space Separator 235
 
17.2%
Decimal Number 214
 
15.6%
Open Punctuation 45
 
3.3%
Close Punctuation 45
 
3.3%
Other Punctuation 42
 
3.1%
Dash Punctuation 6
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 58
 
7.4%
시 49
 
6.3%
로 48
 
6.1%
남 47
 
6.0%
부 45
 
5.8%
광 45
 
5.8%
역 45
 
5.8%
구 45
 
5.8%
산 45
 
5.8%
호 32
 
4.1%
Other values (89) 322
41.2%
Decimal Number
ValueCountFrequency (%)
1 66
30.8%
2 31
14.5%
3 25
 
11.7%
0 20
 
9.3%
5 17
 
7.9%
4 15
 
7.0%
6 15
 
7.0%
9 12
 
5.6%
7 7
 
3.3%
8 6
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
57.0%
Common 587
42.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 58
 
7.4%
시 49
 
6.3%
로 48
 
6.1%
남 47
 
6.0%
부 45
 
5.8%
광 45
 
5.8%
역 45
 
5.8%
구 45
 
5.8%
산 45
 
5.8%
호 32
 
4.1%
Other values (89) 322
41.2%
Common
ValueCountFrequency (%)
235
40.0%
1 66
 
11.2%
( 45
 
7.7%
) 45
 
7.7%
, 42
 
7.2%
2 31
 
5.3%
3 25
 
4.3%
0 20
 
3.4%
5 17
 
2.9%
4 15
 
2.6%
Other values (5) 46
 
7.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
57.0%
ASCII 589
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
39.9%
1 66
 
11.2%
( 45
 
7.6%
) 45
 
7.6%
, 42
 
7.1%
2 31
 
5.3%
3 25
 
4.2%
0 20
 
3.4%
5 17
 
2.9%
4 15
 
2.5%
Other values (7) 48
 
8.1%
Hangul
ValueCountFrequency (%)
동 58
 
7.4%
시 49
 
6.3%
로 48
 
6.1%
남 47
 
6.0%
부 45
 
5.8%
광 45
 
5.8%
역 45
 
5.8%
구 45
 
5.8%
산 45
 
5.8%
호 32
 
4.1%
Other values (89) 322
41.2%

Interactions

2023-12-11T01:36:05.849939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:36:08.701477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명칭소재지주소(도로명)
연번1.0001.0000.911
사업장명칭1.0001.0001.000
소재지주소(도로명)0.9111.0001.000

Missing values

2023-12-11T01:36:06.077152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:36:06.199435image/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

연번사업장명칭소재지주소(도로명)
01메트로동물병원부산광역시 남구 용호로 20, 메트로동물병원 (용호동)
12문현동물병원부산광역시 남구 수영로 38 (문현동)
23해온동물병원부산광역시 남구 용호로 233 (용호동)
34용호동물병원부산광역시 남구 용호로123번길 5, 상가동 1층 106호 (용호동, 목련아파트)
45지경희동물병원부산광역시 남구 용호로 199 (용호동)
56호동&경동 애견호텔전문점부산광역시 남구 신선로 401, 1층 (용당동)
67헬로동물병원부산광역시 남구 분포로 115, 힐탑탑플레이스 A동 4층 403호 (용호동)
78붐애견부산광역시 남구 수영로 262 (대연동)
89고양이 무마취미용 무냥무냥 부산 대연점부산광역시 남구 수영로 221 (대연동)
91025시동물병원부산광역시 남구 수영로 34 (문현동)
연번사업장명칭소재지주소(도로명)
3536메리몰펫샵부산광역시 남구 수영로39번나길 53(문현동)
3637몽드레부산광역시 남구 문현로 5-1, 1층 (문현동)
3738놀아줄개부산광역시 남구 고동골로 14, 문현매일슈퍼마켓 2층 (문현동)
3839반자주 W스퀘어점부산광역시 남구 분포로 145, 상가B동 1100호 (용호동, 더블유)
3940퍼피룸 광안점부산광역시 남구 유엔평화로9번길 32, 1층 (대연동)
4041예뻐지개냥부산광역시 남구 유엔로 197, 대흥택시 (대연동)
4142와와멍#부산광역시 남구 동명로152번길 121(용호동)
4243개월부산광역시 남구 못골로 91-26, 1층 (대연동)
4344몽실몽실부산광역시 남구 분포로 145, 스퀘어동 1075호 (용호동, 더블유)
4445마이독스 그루밍부산광역시 남구 수영로 169, 1층 (대연동)