Overview

Dataset statistics

Number of variables4
Number of observations100
Missing cells56
Missing cells (%)14.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory33.3 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 북구 관내에 존재하는 동물관련 업체 현황(판매, 미용, 위탁관리)에 대한 데이터로 사업장명칭, 주소, 전화번호 등의 항목을 제공합니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15005926/fileData.do

Alerts

소재지전화 has 56 (56.0%) missing valuesMissing

Reproduction

Analysis started2024-03-14 11:25:15.472506
Analysis finished2024-03-14 11:25:16.392284
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업의종류
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
동물미용업(일반)
56 
동물위탁관리업
24 
동물판매업(일반)
14 
동물전시업
 
4
동물운송업
 
2

Length

Max length9
Median length9
Mean length8.28
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동물판매업(일반)
2nd row동물판매업(일반)
3rd row동물판매업(일반)
4th row동물판매업(일반)
5th row동물판매업(일반)

Common Values

ValueCountFrequency (%)
동물미용업(일반) 56
56.0%
동물위탁관리업 24
24.0%
동물판매업(일반) 14
 
14.0%
동물전시업 4
 
4.0%
동물운송업 2
 
2.0%

Length

2024-03-14T20:25:16.645565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:25:16.861112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물미용업(일반 56
56.0%
동물위탁관리업 24
24.0%
동물판매업(일반 14
 
14.0%
동물전시업 4
 
4.0%
동물운송업 2
 
2.0%

영업장명칭
Text

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2024-03-14T20:25:17.828988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length7.44
Min length2

Characters and Unicode

Total characters744
Distinct characters166
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)40.0%

Sample

1st row우다다애견카페
2nd row그루밍선데이
3rd row롯데마트 화명점
4th row바니펫살롱
5th row플랜츠비
ValueCountFrequency (%)
동물병원 9
 
5.5%
화명점 7
 
4.2%
강이네펫샵 3
 
1.8%
카페 3
 
1.8%
제나캣 3
 
1.8%
고양이분양 3
 
1.8%
바니펫살롱 3
 
1.8%
멍냥이 3
 
1.8%
뽀대난 3
 
1.8%
어떤데 3
 
1.8%
Other values (83) 125
75.8%
2024-03-14T20:25:19.019914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
8.7%
이 26
 
3.5%
펫 20
 
2.7%
양 17
 
2.3%
원 16
 
2.2%
애 16
 
2.2%
아 15
 
2.0%
동 15
 
2.0%
점 15
 
2.0%
견 14
 
1.9%
Other values (156) 525
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
83.2%
Space Separator 65
 
8.7%
Lowercase Letter 51
 
6.9%
Decimal Number 4
 
0.5%
Other Punctuation 3
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 26
 
4.2%
펫 20
 
3.2%
양 17
 
2.7%
원 16
 
2.6%
애 16
 
2.6%
아 15
 
2.4%
동 15
 
2.4%
점 15
 
2.4%
견 14
 
2.3%
물 14
 
2.3%
Other values (134) 451
72.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
13.7%
o 6
11.8%
p 5
9.8%
h 5
9.8%
g 4
7.8%
t 4
7.8%
v 3
 
5.9%
a 3
 
5.9%
i 3
 
5.9%
s 3
 
5.9%
Other values (5) 8
15.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
83.2%
Common 74
 
9.9%
Latin 51
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 26
 
4.2%
펫 20
 
3.2%
양 17
 
2.7%
원 16
 
2.6%
애 16
 
2.6%
아 15
 
2.4%
동 15
 
2.4%
점 15
 
2.4%
견 14
 
2.3%
물 14
 
2.3%
Other values (134) 451
72.9%
Latin
ValueCountFrequency (%)
e 7
13.7%
o 6
11.8%
p 5
9.8%
h 5
9.8%
g 4
7.8%
t 4
7.8%
v 3
 
5.9%
a 3
 
5.9%
i 3
 
5.9%
s 3
 
5.9%
Other values (5) 8
15.7%
Common
ValueCountFrequency (%)
65
87.8%
. 3
 
4.1%
2 2
 
2.7%
1 1
 
1.4%
( 1
 
1.4%
) 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
83.2%
ASCII 125
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
52.0%
e 7
 
5.6%
o 6
 
4.8%
p 5
 
4.0%
h 5
 
4.0%
g 4
 
3.2%
t 4
 
3.2%
. 3
 
2.4%
v 3
 
2.4%
a 3
 
2.4%
Other values (12) 20
 
16.0%
Hangul
ValueCountFrequency (%)
이 26
 
4.2%
펫 20
 
3.2%
양 17
 
2.7%
원 16
 
2.6%
애 16
 
2.6%
아 15
 
2.4%
동 15
 
2.4%
점 15
 
2.4%
견 14
 
2.3%
물 14
 
2.3%
Other values (134) 451
72.9%

소재지주소(도로명)
Text

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2024-03-14T20:25:19.932088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length31.08
Min length21

Characters and Unicode

Total characters3108
Distinct characters123
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

Unique46 ?
Unique (%)46.0%

Sample

1st row부산광역시 북구 금곡대로 302 (화명동)
2nd row부산광역시 북구 시랑로 16 (구포동)
3rd row부산광역시 북구 화명대로 47, 롯데마트 2층 (화명동)
4th row부산광역시 북구 만덕1로 49, 휴먼시아아파트 상가동 201호 (만덕동)
5th row부산광역시 북구 의성로 111, 청진빌딩 (덕천동)
ValueCountFrequency (%)
부산광역시 100
 
15.7%
북구 100
 
15.7%
1층 30
 
4.7%
화명동 28
 
4.4%
구포동 22
 
3.5%
2층 18
 
2.8%
만덕동 17
 
2.7%
덕천동 16
 
2.5%
금곡대로 14
 
2.2%
백양대로 8
 
1.3%
Other values (149) 282
44.4%
2024-03-14T20:25:21.096256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
535
 
17.2%
구 129
 
4.2%
1 128
 
4.1%
동 120
 
3.9%
시 113
 
3.6%
산 107
 
3.4%
북 103
 
3.3%
, 102
 
3.3%
로 101
 
3.2%
부 100
 
3.2%
Other values (113) 1570
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1776
57.1%
Space Separator 535
 
17.2%
Decimal Number 483
 
15.5%
Other Punctuation 102
 
3.3%
Close Punctuation 100
 
3.2%
Open Punctuation 100
 
3.2%
Dash Punctuation 8
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 129
 
7.3%
동 120
 
6.8%
시 113
 
6.4%
산 107
 
6.0%
북 103
 
5.8%
로 101
 
5.7%
부 100
 
5.6%
역 100
 
5.6%
광 100
 
5.6%
덕 70
 
3.9%
Other values (96) 733
41.3%
Decimal Number
ValueCountFrequency (%)
1 128
26.5%
2 86
17.8%
0 54
11.2%
3 48
 
9.9%
4 38
 
7.9%
7 34
 
7.0%
6 28
 
5.8%
8 25
 
5.2%
5 25
 
5.2%
9 17
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
O 2
50.0%
S 2
50.0%
Space Separator
ValueCountFrequency (%)
535
100.0%
Other Punctuation
ValueCountFrequency (%)
, 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1776
57.1%
Common 1328
42.7%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 129
 
7.3%
동 120
 
6.8%
시 113
 
6.4%
산 107
 
6.0%
북 103
 
5.8%
로 101
 
5.7%
부 100
 
5.6%
역 100
 
5.6%
광 100
 
5.6%
덕 70
 
3.9%
Other values (96) 733
41.3%
Common
ValueCountFrequency (%)
535
40.3%
1 128
 
9.6%
, 102
 
7.7%
) 100
 
7.5%
( 100
 
7.5%
2 86
 
6.5%
0 54
 
4.1%
3 48
 
3.6%
4 38
 
2.9%
7 34
 
2.6%
Other values (5) 103
 
7.8%
Latin
ValueCountFrequency (%)
O 2
50.0%
S 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1776
57.1%
ASCII 1332
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
535
40.2%
1 128
 
9.6%
, 102
 
7.7%
) 100
 
7.5%
( 100
 
7.5%
2 86
 
6.5%
0 54
 
4.1%
3 48
 
3.6%
4 38
 
2.9%
7 34
 
2.6%
Other values (7) 107
 
8.0%
Hangul
ValueCountFrequency (%)
구 129
 
7.3%
동 120
 
6.8%
시 113
 
6.4%
산 107
 
6.0%
북 103
 
5.8%
로 101
 
5.7%
부 100
 
5.6%
역 100
 
5.6%
광 100
 
5.6%
덕 70
 
3.9%
Other values (96) 733
41.3%

소재지전화
Text

MISSING 

Distinct33
Distinct (%)75.0%
Missing56
Missing (%)56.0%
Memory size928.0 B
2024-03-14T20:25:21.822459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique24 ?
Unique (%)54.5%

Sample

1st row051-365-7222
2nd row051-806-8990
3rd row051-710-7110
4th row051-365-7222
5th row051-343-7566
ValueCountFrequency (%)
051-363-0511 3
 
6.8%
051-710-7110 3
 
6.8%
051-365-7222 2
 
4.5%
051-342-0399 2
 
4.5%
051-361-7582 2
 
4.5%
051-334-0070 2
 
4.5%
051-341-3400 2
 
4.5%
051-333-5740 2
 
4.5%
051-343-7566 2
 
4.5%
051-363-6629 1
 
2.3%
Other values (23) 23
52.3%
2024-03-14T20:25:22.755865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.7%
3 83
15.7%
0 82
15.5%
5 75
14.2%
1 69
13.1%
7 31
 
5.9%
6 28
 
5.3%
4 24
 
4.5%
8 18
 
3.4%
2 15
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 83
18.9%
0 82
18.6%
5 75
17.0%
1 69
15.7%
7 31
 
7.0%
6 28
 
6.4%
4 24
 
5.5%
8 18
 
4.1%
2 15
 
3.4%
9 15
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.7%
3 83
15.7%
0 82
15.5%
5 75
14.2%
1 69
13.1%
7 31
 
5.9%
6 28
 
5.3%
4 24
 
4.5%
8 18
 
3.4%
2 15
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.7%
3 83
15.7%
0 82
15.5%
5 75
14.2%
1 69
13.1%
7 31
 
5.9%
6 28
 
5.3%
4 24
 
4.5%
8 18
 
3.4%
2 15
 
2.8%

Correlations

2024-03-14T20:25:22.958713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업의종류영업장명칭소재지주소(도로명)소재지전화
영업의종류1.0000.0000.0000.000
영업장명칭0.0001.0001.0001.000
소재지주소(도로명)0.0001.0001.0001.000
소재지전화0.0001.0001.0001.000

Missing values

2024-03-14T20:25:15.992643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:25:16.275889image/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

영업의종류영업장명칭소재지주소(도로명)소재지전화
0동물판매업(일반)우다다애견카페부산광역시 북구 금곡대로 302 (화명동)051-365-7222
1동물판매업(일반)그루밍선데이부산광역시 북구 시랑로 16 (구포동)<NA>
2동물판매업(일반)롯데마트 화명점부산광역시 북구 화명대로 47, 롯데마트 2층 (화명동)051-806-8990
3동물판매업(일반)바니펫살롱부산광역시 북구 만덕1로 49, 휴먼시아아파트 상가동 201호 (만덕동)<NA>
4동물판매업(일반)플랜츠비부산광역시 북구 의성로 111, 청진빌딩 (덕천동)<NA>
5동물판매업(일반)여울목 아쿠아부산광역시 북구 시랑로83번길 40-2, 지하1층 102호 (구포동)<NA>
6동물판매업(일반)마마스미독 강아지분양 부산덕천점부산광역시 북구 만덕대로40번길 57(덕천동)<NA>
7동물판매업(일반)도그마루 강아지 고양이 양산화명점부산광역시 북구 금곡대로 276, 2층 (화명동)<NA>
8동물판매업(일반)강아지분양 고양이분양 헬로브리더 부산화명점부산광역시 북구 금곡대로208번길 32(화명동)<NA>
9동물판매업(일반)고양이분양 제나캣 화명점부산광역시 북구 학사로 15, 신라빌딩 201호 (화명동)<NA>
영업의종류영업장명칭소재지주소(도로명)소재지전화
90동물미용업(일반)댕구르강아지유치원부산광역시 북구 산성로 23, 3층 (화명동)051-363-0511
91동물미용업(일반)댕묭실부산광역시 북구 구남언덕로 17, 2층 (구포동)<NA>
92동물미용업(일반)댕댕이쁘띠샵부산광역시 북구 덕천로336번길 2, 1층 (만덕동)<NA>
93동물미용업(일반)컴피 화명점부산광역시 북구 금곡대로 460, OS타워 4층 (금곡동)<NA>
94동물미용업(일반)heav.pet부산광역시 북구 학사로 13, 산봉빌딩 5층 (화명동)<NA>
95동물미용업(일반)황실 애견미용 살롱부산광역시 북구 만덕2로44번길 46, 온누리빌딩 2층 (만덕동)<NA>
96동물미용업(일반)새다옴 펫스토리부산광역시 북구 만덕3로 30 (만덕동)<NA>
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