Overview

Dataset statistics

Number of variables4
Number of observations206
Missing cells100
Missing cells (%)12.1%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory6.6 KiB
Average record size in memory32.6 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 수영구 관내 동물 병원, 동물약국, 동물판매업, 미용업, 위탁관리업 등 동물관련업체의 정보(업종, 업소명, 주소, 전화번호)를 제공합니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/15024736/fileData.do

Alerts

Dataset has 1 (0.5%) duplicate rowsDuplicates
전화번호 has 100 (48.5%) missing valuesMissing

Reproduction

Analysis started2024-03-14 14:14:31.125670
Analysis finished2024-03-14 14:14:32.357716
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct10
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
동물미용업(일반)
65 
동물약국
47 
동물위탁관리업
32 
동물병원
25 
동물판매업(일반)
22 
Other values (5)
15 

Length

Max length9
Median length7
Mean length6.6893204
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row동물병원
2nd row동물병원
3rd row동물병원
4th row동물병원
5th row동물병원

Common Values

ValueCountFrequency (%)
동물미용업(일반) 65
31.6%
동물약국 47
22.8%
동물위탁관리업 32
15.5%
동물병원 25
 
12.1%
동물판매업(일반) 22
 
10.7%
동물운송업 7
 
3.4%
동물수입업 3
 
1.5%
동물용의료기기판매 2
 
1.0%
동물생산업 2
 
1.0%
동물전시업 1
 
0.5%

Length

2024-03-14T23:14:32.613135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:14:33.002068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물미용업(일반 65
31.6%
동물약국 47
22.8%
동물위탁관리업 32
15.5%
동물병원 25
 
12.1%
동물판매업(일반 22
 
10.7%
동물운송업 7
 
3.4%
동물수입업 3
 
1.5%
동물용의료기기판매 2
 
1.0%
동물생산업 2
 
1.0%
동물전시업 1
 
0.5%

업소명
Text

Distinct146
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-14T23:14:34.300245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length6.038835
Min length2

Characters and Unicode

Total characters1244
Distinct characters257
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)47.6%

Sample

1st row남천동물병원
2nd row광안동물병원
3rd row이상동물병원
4th row소망애견종합병원
5th row세진동물병원
ValueCountFrequency (%)
꼬똥몽드 4
 
1.5%
동물병원 4
 
1.5%
wpk(더블유피케이 4
 
1.5%
이중생활 3
 
1.2%
펫 3
 
1.2%
프란다스의 3
 
1.2%
우리약국 3
 
1.2%
도그민 3
 
1.2%
개 3
 
1.2%
마이펫의 3
 
1.2%
Other values (173) 226
87.3%
2024-03-14T23:14:35.681381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
4.3%
국 47
 
3.8%
약 47
 
3.8%
동 46
 
3.7%
물 42
 
3.4%
원 40
 
3.2%
병 36
 
2.9%
이 30
 
2.4%
펫 26
 
2.1%
리 18
 
1.4%
Other values (247) 859
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1051
84.5%
Uppercase Letter 71
 
5.7%
Space Separator 53
 
4.3%
Lowercase Letter 27
 
2.2%
Close Punctuation 14
 
1.1%
Open Punctuation 14
 
1.1%
Decimal Number 9
 
0.7%
Other Punctuation 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 47
 
4.5%
약 47
 
4.5%
동 46
 
4.4%
물 42
 
4.0%
원 40
 
3.8%
병 36
 
3.4%
이 30
 
2.9%
펫 26
 
2.5%
리 18
 
1.7%
애 16
 
1.5%
Other values (203) 703
66.9%
Uppercase Letter
ValueCountFrequency (%)
N 8
11.3%
A 7
9.9%
O 7
9.9%
L 6
 
8.5%
S 5
 
7.0%
P 5
 
7.0%
B 4
 
5.6%
E 4
 
5.6%
M 4
 
5.6%
K 4
 
5.6%
Other values (10) 17
23.9%
Lowercase Letter
ValueCountFrequency (%)
o 6
22.2%
g 6
22.2%
u 4
14.8%
m 2
 
7.4%
r 2
 
7.4%
n 2
 
7.4%
a 2
 
7.4%
e 1
 
3.7%
v 1
 
3.7%
s 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 2
22.2%
4 2
22.2%
6 1
11.1%
8 1
11.1%
7 1
11.1%
5 1
11.1%
1 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
& 1
25.0%
' 1
25.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1051
84.5%
Latin 98
 
7.9%
Common 95
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 47
 
4.5%
약 47
 
4.5%
동 46
 
4.4%
물 42
 
4.0%
원 40
 
3.8%
병 36
 
3.4%
이 30
 
2.9%
펫 26
 
2.5%
리 18
 
1.7%
애 16
 
1.5%
Other values (203) 703
66.9%
Latin
ValueCountFrequency (%)
N 8
 
8.2%
A 7
 
7.1%
O 7
 
7.1%
o 6
 
6.1%
g 6
 
6.1%
L 6
 
6.1%
S 5
 
5.1%
P 5
 
5.1%
B 4
 
4.1%
E 4
 
4.1%
Other values (20) 40
40.8%
Common
ValueCountFrequency (%)
53
55.8%
) 14
 
14.7%
( 14
 
14.7%
2 2
 
2.1%
, 2
 
2.1%
4 2
 
2.1%
& 1
 
1.1%
6 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%
Other values (4) 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1051
84.5%
ASCII 193
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
27.5%
) 14
 
7.3%
( 14
 
7.3%
N 8
 
4.1%
A 7
 
3.6%
O 7
 
3.6%
o 6
 
3.1%
g 6
 
3.1%
L 6
 
3.1%
S 5
 
2.6%
Other values (34) 67
34.7%
Hangul
ValueCountFrequency (%)
국 47
 
4.5%
약 47
 
4.5%
동 46
 
4.4%
물 42
 
4.0%
원 40
 
3.8%
병 36
 
3.4%
이 30
 
2.9%
펫 26
 
2.5%
리 18
 
1.7%
애 16
 
1.5%
Other values (203) 703
66.9%

사업장소재지(도로명)
Text

Distinct154
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-14T23:14:36.886865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length28.912621
Min length21

Characters and Unicode

Total characters5956
Distinct characters131
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

Unique116 ?
Unique (%)56.3%

Sample

1st row부산광역시 수영구 황령대로 505, 1층 (남천동)
2nd row부산광역시 수영구 수영로 567, 2층 (광안동)
3rd row부산광역시 수영구 수영로 757, 2층 (수영동)
4th row부산광역시 수영구 수영로 485, 6동 2호 (남천동, 화목아파트)
5th row부산광역시 수영구 과정로15번길 7 (망미동, 국화)
ValueCountFrequency (%)
부산광역시 205
17.5%
수영구 205
17.5%
광안동 56
 
4.8%
수영로 44
 
3.8%
1층 44
 
3.8%
남천동 31
 
2.6%
민락동 28
 
2.4%
망미동 28
 
2.4%
수영동 23
 
2.0%
2층 23
 
2.0%
Other values (252) 486
41.4%
2024-03-14T23:14:38.561867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
967
 
16.2%
광 324
 
5.4%
수 324
 
5.4%
영 302
 
5.1%
동 224
 
3.8%
산 213
 
3.6%
구 209
 
3.5%
부 206
 
3.5%
시 206
 
3.5%
로 206
 
3.5%
Other values (121) 2775
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3532
59.3%
Space Separator 967
 
16.2%
Decimal Number 900
 
15.1%
Open Punctuation 202
 
3.4%
Close Punctuation 202
 
3.4%
Other Punctuation 126
 
2.1%
Dash Punctuation 23
 
0.4%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 324
 
9.2%
수 324
 
9.2%
영 302
 
8.6%
동 224
 
6.3%
산 213
 
6.0%
구 209
 
5.9%
부 206
 
5.8%
시 206
 
5.8%
로 206
 
5.8%
역 205
 
5.8%
Other values (105) 1113
31.5%
Decimal Number
ValueCountFrequency (%)
1 175
19.4%
2 150
16.7%
6 94
10.4%
3 83
9.2%
5 82
9.1%
4 76
8.4%
7 69
 
7.7%
0 68
 
7.6%
9 60
 
6.7%
8 43
 
4.8%
Space Separator
ValueCountFrequency (%)
967
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Other Punctuation
ValueCountFrequency (%)
, 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3532
59.3%
Common 2420
40.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 324
 
9.2%
수 324
 
9.2%
영 302
 
8.6%
동 224
 
6.3%
산 213
 
6.0%
구 209
 
5.9%
부 206
 
5.8%
시 206
 
5.8%
로 206
 
5.8%
역 205
 
5.8%
Other values (105) 1113
31.5%
Common
ValueCountFrequency (%)
967
40.0%
( 202
 
8.3%
) 202
 
8.3%
1 175
 
7.2%
2 150
 
6.2%
, 126
 
5.2%
6 94
 
3.9%
3 83
 
3.4%
5 82
 
3.4%
4 76
 
3.1%
Other values (5) 263
 
10.9%
Latin
ValueCountFrequency (%)
e 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3532
59.3%
ASCII 2424
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
967
39.9%
( 202
 
8.3%
) 202
 
8.3%
1 175
 
7.2%
2 150
 
6.2%
, 126
 
5.2%
6 94
 
3.9%
3 83
 
3.4%
5 82
 
3.4%
4 76
 
3.1%
Other values (6) 267
 
11.0%
Hangul
ValueCountFrequency (%)
광 324
 
9.2%
수 324
 
9.2%
영 302
 
8.6%
동 224
 
6.3%
산 213
 
6.0%
구 209
 
5.9%
부 206
 
5.8%
시 206
 
5.8%
로 206
 
5.8%
역 205
 
5.8%
Other values (105) 1113
31.5%

전화번호
Text

MISSING 

Distinct80
Distinct (%)75.5%
Missing100
Missing (%)48.5%
Memory size1.7 KiB
2024-03-14T23:14:39.838265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018868
Min length12

Characters and Unicode

Total characters1274
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

Unique60 ?
Unique (%)56.6%

Sample

1st row051-622-0046
2nd row051-751-7829
3rd row051-759-0225
4th row051-628-8211
5th row051-751-5656
ValueCountFrequency (%)
051-755-1312 5
 
4.7%
051-759-0225 3
 
2.8%
051-753-4490 3
 
2.8%
051-752-6668 3
 
2.8%
051-525-1002 2
 
1.9%
051-751-7829 2
 
1.9%
051-746-7582 2
 
1.9%
051-754-2022 2
 
1.9%
051-758-0031 2
 
1.9%
051-753-7582 2
 
1.9%
Other values (70) 80
75.5%
2024-03-14T23:14:41.968990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 244
19.2%
- 212
16.6%
0 170
13.3%
1 169
13.3%
7 140
11.0%
2 101
7.9%
6 65
 
5.1%
4 51
 
4.0%
8 49
 
3.8%
3 43
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1062
83.4%
Dash Punctuation 212
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 244
23.0%
0 170
16.0%
1 169
15.9%
7 140
13.2%
2 101
9.5%
6 65
 
6.1%
4 51
 
4.8%
8 49
 
4.6%
3 43
 
4.0%
9 30
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1274
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 244
19.2%
- 212
16.6%
0 170
13.3%
1 169
13.3%
7 140
11.0%
2 101
7.9%
6 65
 
5.1%
4 51
 
4.0%
8 49
 
3.8%
3 43
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 244
19.2%
- 212
16.6%
0 170
13.3%
1 169
13.3%
7 140
11.0%
2 101
7.9%
6 65
 
5.1%
4 51
 
4.0%
8 49
 
3.8%
3 43
 
3.4%

Correlations

2024-03-14T23:14:42.228864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종전화번호
업종1.0000.000
전화번호0.0001.000

Missing values

2024-03-14T23:14:31.785866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:14:32.219035image/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

업종업소명사업장소재지(도로명)전화번호
0동물병원남천동물병원부산광역시 수영구 황령대로 505, 1층 (남천동)051-622-0046
1동물병원광안동물병원부산광역시 수영구 수영로 567, 2층 (광안동)051-751-7829
2동물병원이상동물병원부산광역시 수영구 수영로 757, 2층 (수영동)051-759-0225
3동물병원소망애견종합병원부산광역시 수영구 수영로 485, 6동 2호 (남천동, 화목아파트)051-628-8211
4동물병원세진동물병원부산광역시 수영구 과정로15번길 7 (망미동, 국화)051-751-5656
5동물병원사랑동물병원부산광역시 수영구 수영로 733 (수영동)051-754-7599
6동물병원연제종합동물병원부산광역시 수영구 연수로 241 (망미동)051-753-8875
7동물병원삼성동물병원부산광역시 수영구 연수로 235 (망미동)051-754-3270
8동물병원ABC동물병원부산광역시 수영구 수영로 618-1 (광안동)051-761-2502
9동물병원민락동물병원부산광역시 수영구 광남로 207 (광안동)051-757-8529
업종업소명사업장소재지(도로명)전화번호
196동물판매업(일반)마이펫의 이중생활부산광역시 수영구 광안해변로344번길 17-22, 나경크리스탈 타워 9층 (민락동)<NA>
197동물판매업(일반)도도한 펫츠부산광역시 수영구 수영로 530, 1층 (광안동)051-756-2645
198동물판매업(일반)고든펫부산광역시 수영구 망미배산로 2(망미동)<NA>
199동물판매업(일반)도그메종부산광역시 수영구 광안해변로326번길 32, 상가동 110호 (민락동, e편한세상 오션테라스 3단지)<NA>
200동물판매업(일반)부산강아지분양 디몽부산광역시 수영구 민락수변로 49, 110호<NA>
201동물판매업(일반)WPK(더블유피케이)부산광역시 수영구 연수로263번길 9(망미동)<NA>
202동물판매업(일반)꼬똥몽드부산광역시 수영구 연수로263번길 9(망미동)<NA>
203동물판매업(일반)꼬동이네부산광역시 수영구 광안해변로326번길 32, 109호<NA>
204동물생산업프린세스 돌스부산광역시 수영구 장대골로57번가길 32-6 (광안동)<NA>
205동물생산업엘름트리 캐터리부산광역시 수영구 수영로646번길 56-5 (광안동)<NA>

Duplicate rows

Most frequently occurring

업종업소명사업장소재지(도로명)전화번호# duplicates
0동물약국남천약국부산광역시 수영구 수영로388번길 6 (남천동)051-621-83832