Overview

Dataset statistics

Number of variables3
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory28.4 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시남구_동물미용업현황_20210802
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 16:36:14.171593
Analysis finished2023-12-10 16:36:14.547181
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-11T01:36:14.602021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2023-12-11T01:36:14.731484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

사업장명칭
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T01:36:14.931380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length6.6923077
Min length2

Characters and Unicode

Total characters261
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

Unique39 ?
Unique (%)100.0%

Sample

1st rowJENNIE PET
2nd row메트로동물병원
3rd row문현동물병원
4th row해온동물병원
5th row용호동물병원
ValueCountFrequency (%)
jennie 1
 
1.9%
pet 1
 
1.9%
촉촉이네 1
 
1.9%
마이독스 1
 
1.9%
쿠마와푸코네 1
 
1.9%
애견마트 1
 
1.9%
벨라애견카페 1
 
1.9%
꽃멍개 1
 
1.9%
뽀도독 1
 
1.9%
더펫코리아 1
 
1.9%
Other values (42) 42
80.8%
2023-12-11T01:36:15.247217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
5.4%
13
 
5.0%
12
 
4.6%
11
 
4.2%
10
 
3.8%
7
 
2.7%
6
 
2.3%
6
 
2.3%
6
 
2.3%
5
 
1.9%
Other values (106) 171
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
87.4%
Space Separator 13
 
5.0%
Uppercase Letter 9
 
3.4%
Lowercase Letter 3
 
1.1%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Other Punctuation 2
 
0.8%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
6.1%
12
 
5.3%
11
 
4.8%
10
 
4.4%
7
 
3.1%
6
 
2.6%
6
 
2.6%
6
 
2.6%
5
 
2.2%
5
 
2.2%
Other values (90) 146
64.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
33.3%
N 2
22.2%
J 1
 
11.1%
T 1
 
11.1%
P 1
 
11.1%
I 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
i 1
33.3%
z 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
87.4%
Common 21
 
8.0%
Latin 12
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
6.1%
12
 
5.3%
11
 
4.8%
10
 
4.4%
7
 
3.1%
6
 
2.6%
6
 
2.6%
6
 
2.6%
5
 
2.2%
5
 
2.2%
Other values (90) 146
64.0%
Latin
ValueCountFrequency (%)
E 3
25.0%
N 2
16.7%
p 1
 
8.3%
i 1
 
8.3%
z 1
 
8.3%
J 1
 
8.3%
T 1
 
8.3%
P 1
 
8.3%
I 1
 
8.3%
Common
ValueCountFrequency (%)
13
61.9%
) 2
 
9.5%
( 2
 
9.5%
. 1
 
4.8%
& 1
 
4.8%
5 1
 
4.8%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
87.4%
ASCII 33
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
6.1%
12
 
5.3%
11
 
4.8%
10
 
4.4%
7
 
3.1%
6
 
2.6%
6
 
2.6%
6
 
2.6%
5
 
2.2%
5
 
2.2%
Other values (90) 146
64.0%
ASCII
ValueCountFrequency (%)
13
39.4%
E 3
 
9.1%
) 2
 
6.1%
( 2
 
6.1%
N 2
 
6.1%
p 1
 
3.0%
i 1
 
3.0%
z 1
 
3.0%
. 1
 
3.0%
J 1
 
3.0%
Other values (6) 6
18.2%
Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T01:36:15.521191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length31.410256
Min length21

Characters and Unicode

Total characters1225
Distinct characters127
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

Unique37 ?
Unique (%)94.9%

Sample

1st row부산광역시 남구 수영로 224-1, 조양래동물의료센터 2층 (대연동)
2nd row부산광역시 남구 용호로 20, 메트로동물병원 (용호동)
3rd row부산광역시 남구 수영로 38 (문현동)
4th row부산광역시 남구 용호로 233 (용호동)
5th row부산광역시 남구 용호로123번길 5, 상가동 1층 106호 (용호동, 목련아파트)
ValueCountFrequency (%)
부산광역시 39
 
15.3%
남구 39
 
15.3%
대연동 15
 
5.9%
1층 13
 
5.1%
용호동 13
 
5.1%
수영로 10
 
3.9%
문현동 7
 
2.7%
용호로 5
 
2.0%
2층 4
 
1.6%
분포로 4
 
1.6%
Other values (98) 106
41.6%
2023-12-11T01:36:15.888339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
17.6%
1 51
 
4.2%
51
 
4.2%
43
 
3.5%
42
 
3.4%
40
 
3.3%
) 39
 
3.2%
( 39
 
3.2%
39
 
3.2%
39
 
3.2%
Other values (117) 626
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 705
57.6%
Space Separator 216
 
17.6%
Decimal Number 185
 
15.1%
Close Punctuation 39
 
3.2%
Open Punctuation 39
 
3.2%
Other Punctuation 36
 
2.9%
Dash Punctuation 3
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
7.2%
43
 
6.1%
42
 
6.0%
40
 
5.7%
39
 
5.5%
39
 
5.5%
39
 
5.5%
39
 
5.5%
39
 
5.5%
32
 
4.5%
Other values (100) 302
42.8%
Decimal Number
ValueCountFrequency (%)
1 51
27.6%
2 29
15.7%
3 20
 
10.8%
0 19
 
10.3%
4 17
 
9.2%
6 13
 
7.0%
9 11
 
5.9%
5 11
 
5.9%
7 9
 
4.9%
8 5
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 705
57.6%
Common 518
42.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
7.2%
43
 
6.1%
42
 
6.0%
40
 
5.7%
39
 
5.5%
39
 
5.5%
39
 
5.5%
39
 
5.5%
39
 
5.5%
32
 
4.5%
Other values (100) 302
42.8%
Common
ValueCountFrequency (%)
216
41.7%
1 51
 
9.8%
) 39
 
7.5%
( 39
 
7.5%
, 36
 
6.9%
2 29
 
5.6%
3 20
 
3.9%
0 19
 
3.7%
4 17
 
3.3%
6 13
 
2.5%
Other values (5) 39
 
7.5%
Latin
ValueCountFrequency (%)
E 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 705
57.6%
ASCII 520
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
41.5%
1 51
 
9.8%
) 39
 
7.5%
( 39
 
7.5%
, 36
 
6.9%
2 29
 
5.6%
3 20
 
3.8%
0 19
 
3.7%
4 17
 
3.3%
6 13
 
2.5%
Other values (7) 41
 
7.9%
Hangul
ValueCountFrequency (%)
51
 
7.2%
43
 
6.1%
42
 
6.0%
40
 
5.7%
39
 
5.5%
39
 
5.5%
39
 
5.5%
39
 
5.5%
39
 
5.5%
32
 
4.5%
Other values (100) 302
42.8%

Interactions

2023-12-11T01:36:14.345698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:36:15.973461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명칭소재지주소(도로명)
연번1.0001.0000.906
사업장명칭1.0001.0001.000
소재지주소(도로명)0.9061.0001.000

Missing values

2023-12-11T01:36:14.463955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:36:14.522917image/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)
01JENNIE PET부산광역시 남구 수영로 224-1, 조양래동물의료센터 2층 (대연동)
12메트로동물병원부산광역시 남구 용호로 20, 메트로동물병원 (용호동)
23문현동물병원부산광역시 남구 수영로 38 (문현동)
34해온동물병원부산광역시 남구 용호로 233 (용호동)
45용호동물병원부산광역시 남구 용호로123번길 5, 상가동 1층 106호 (용호동, 목련아파트)
56지경희동물병원부산광역시 남구 용호로 199 (용호동)
67호동&경동 애견호텔전문점부산광역시 남구 신선로 401, 1층 (용당동)
78헬로동물병원부산광역시 남구 분포로 115, 힐탑탑플레이스 A동 4층 403호 (용호동)
89붐애견부산광역시 남구 수영로 262 (대연동)
910고양이 무마취미용 무냥무냥 부산 대연점부산광역시 남구 수영로 221 (대연동)
연번사업장명칭소재지주소(도로명)
2930촉촉이네부산광역시 남구 분포로 113, 1004동 206호 (용호동, 엘지메트로시티)
3031마이독스부산광역시 남구 수영로 169, 1층 (대연동)
3132펫미장원 공감부산광역시 남구 용호로 68, 3층 (용호동)
3233폼나개부산광역시 남구 못골번영로66번길 35, 1층 (대연동)
3334개털살롱부산광역시 남구 유엔로 197, 대흥택시 점포3호 (대연동)
3435도그마루 강아지고양이 부산점부산광역시 남구 황령대로492번길 24, 세영빌딩 4층 401호 (대연동)
3536씨유펫 (용호더블유스퀘어점)부산광역시 남구 분포로 145, 스퀘어동층 1075호 (용호동, 더블유)
3637우리함개부산광역시 남구 동명로 156-1, 한림웅변학원 1층 (용호동)
3738먼지.zip부산광역시 남구 진남로 168, 1층 6호 (문현동, 성지문현파크맨션)
3839윤스펫부산광역시 남구 용호로90번길 14, 1층 (용호동)