Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.3 B

Variable types

Text4

Dataset

Description광주광역시 서구 관내에 위치하고 있는 동물의료기관의 업소명, 지번주소, 도로명주소, 전화번호 등에 대한 현황입니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15011807/fileData.do

Alerts

업소명 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:21:51.468881
Analysis finished2024-03-14 20:21:52.257337
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T05:21:52.859492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.5666667
Min length6

Characters and Unicode

Total characters227
Distinct characters86
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

Unique30 ?
Unique (%)100.0%

Sample

1st row현대동물병원
2nd row금호동물병원
3rd row하나로동물병원
4th row좋은동물병원
5th row한결동물의료센터
ValueCountFrequency (%)
동물병원 3
 
8.6%
베스트동물병원 1
 
2.9%
광주축산농협 1
 
2.9%
베스트고양이병원 1
 
2.9%
광주24시스카이동물메디컬센터 1
 
2.9%
야생동물구조관리센터 1
 
2.9%
광주광역시 1
 
2.9%
미유펫동물병원 1
 
2.9%
본펫동물병원 1
 
2.9%
로하동물병원 1
 
2.9%
Other values (23) 23
65.7%
2024-03-15T05:21:53.924813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 28
 
12.3%
물 28
 
12.3%
병 26
 
11.5%
원 26
 
11.5%
5
 
2.2%
터 4
 
1.8%
센 4
 
1.8%
광 4
 
1.8%
펫 4
 
1.8%
주 3
 
1.3%
Other values (76) 95
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
95.6%
Space Separator 5
 
2.2%
Decimal Number 2
 
0.9%
Uppercase Letter 1
 
0.4%
Lowercase Letter 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
12.9%
물 28
 
12.9%
병 26
 
12.0%
원 26
 
12.0%
터 4
 
1.8%
센 4
 
1.8%
광 4
 
1.8%
펫 4
 
1.8%
주 3
 
1.4%
이 3
 
1.4%
Other values (70) 87
40.1%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
95.6%
Common 8
 
3.5%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
12.9%
물 28
 
12.9%
병 26
 
12.0%
원 26
 
12.0%
터 4
 
1.8%
센 4
 
1.8%
광 4
 
1.8%
펫 4
 
1.8%
주 3
 
1.4%
이 3
 
1.4%
Other values (70) 87
40.1%
Common
ValueCountFrequency (%)
5
62.5%
4 1
 
12.5%
2 1
 
12.5%
. 1
 
12.5%
Latin
ValueCountFrequency (%)
D 1
50.0%
r 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
95.6%
ASCII 10
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 28
 
12.9%
물 28
 
12.9%
병 26
 
12.0%
원 26
 
12.0%
터 4
 
1.8%
센 4
 
1.8%
광 4
 
1.8%
펫 4
 
1.8%
주 3
 
1.4%
이 3
 
1.4%
Other values (70) 87
40.1%
ASCII
ValueCountFrequency (%)
5
50.0%
4 1
 
10.0%
2 1
 
10.0%
D 1
 
10.0%
r 1
 
10.0%
. 1
 
10.0%

지번주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T05:21:54.736554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length20.933333
Min length16

Characters and Unicode

Total characters628
Distinct characters48
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row광주광역시 서구 화정동 743-9
2nd row광주광역시 서구 금호동 243-6
3rd row광주광역시 서구 치평동 1236-2
4th row광주광역시 서구 금호동 753-2
5th row광주광역시 서구 풍암동 1137
ValueCountFrequency (%)
광주광역시 30
23.1%
서구 30
23.1%
쌍촌동 9
 
6.9%
화정동 4
 
3.1%
풍암동 4
 
3.1%
금호동 3
 
2.3%
치평동 3
 
2.3%
롯데마트 2
 
1.5%
동천동 2
 
1.5%
4층 2
 
1.5%
Other values (41) 41
31.5%
2024-03-15T05:21:56.076138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
19.4%
광 61
 
9.7%
동 33
 
5.3%
역 30
 
4.8%
시 30
 
4.8%
서 30
 
4.8%
구 30
 
4.8%
1 30
 
4.8%
주 30
 
4.8%
- 26
 
4.1%
Other values (38) 206
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
51.0%
Decimal Number 150
23.9%
Space Separator 122
 
19.4%
Dash Punctuation 26
 
4.1%
Other Punctuation 8
 
1.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 61
19.1%
동 33
10.3%
역 30
9.4%
시 30
9.4%
서 30
9.4%
구 30
9.4%
주 30
9.4%
촌 10
 
3.1%
쌍 9
 
2.8%
층 6
 
1.9%
Other values (23) 51
15.9%
Decimal Number
ValueCountFrequency (%)
1 30
20.0%
3 22
14.7%
2 19
12.7%
8 15
10.0%
4 15
10.0%
9 12
 
8.0%
0 10
 
6.7%
5 10
 
6.7%
7 9
 
6.0%
6 8
 
5.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
51.0%
Common 308
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 61
19.1%
동 33
10.3%
역 30
9.4%
시 30
9.4%
서 30
9.4%
구 30
9.4%
주 30
9.4%
촌 10
 
3.1%
쌍 9
 
2.8%
층 6
 
1.9%
Other values (23) 51
15.9%
Common
ValueCountFrequency (%)
122
39.6%
1 30
 
9.7%
- 26
 
8.4%
3 22
 
7.1%
2 19
 
6.2%
8 15
 
4.9%
4 15
 
4.9%
9 12
 
3.9%
0 10
 
3.2%
5 10
 
3.2%
Other values (5) 27
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
51.0%
ASCII 308
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
39.6%
1 30
 
9.7%
- 26
 
8.4%
3 22
 
7.1%
2 19
 
6.2%
8 15
 
4.9%
4 15
 
4.9%
9 12
 
3.9%
0 10
 
3.2%
5 10
 
3.2%
Other values (5) 27
 
8.8%
Hangul
ValueCountFrequency (%)
광 61
19.1%
동 33
10.3%
역 30
9.4%
시 30
9.4%
서 30
9.4%
구 30
9.4%
주 30
9.4%
촌 10
 
3.1%
쌍 9
 
2.8%
층 6
 
1.9%
Other values (23) 51
15.9%

도로명주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T05:21:57.047667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31.5
Mean length26.7
Min length16

Characters and Unicode

Total characters801
Distinct characters83
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

Unique30 ?
Unique (%)100.0%

Sample

1st row광주광역시 서구 상무대로 1045 (화정동)
2nd row광주광역시 서구 금화로 54 (금호동)
3rd row광주광역시 서구 상무중앙로 62, 1층 (치평동)
4th row광주광역시 서구 운천로 29 (금호동)
5th row광주광역시 서구 풍암순환로188번길 15 (풍암동)
ValueCountFrequency (%)
광주광역시 30
 
17.9%
서구 30
 
17.9%
쌍촌동 8
 
4.8%
상무대로 4
 
2.4%
풍암동 4
 
2.4%
화정동 4
 
2.4%
금화로 3
 
1.8%
월드컵4강로 3
 
1.8%
금호동 3
 
1.8%
1층 3
 
1.8%
Other values (68) 76
45.2%
2024-03-15T05:21:58.328932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
17.2%
광 62
 
7.7%
주 33
 
4.1%
동 33
 
4.1%
시 31
 
3.9%
역 30
 
3.7%
서 30
 
3.7%
구 30
 
3.7%
로 30
 
3.7%
( 29
 
3.6%
Other values (73) 355
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 461
57.6%
Space Separator 138
 
17.2%
Decimal Number 118
 
14.7%
Open Punctuation 29
 
3.6%
Close Punctuation 29
 
3.6%
Other Punctuation 19
 
2.4%
Dash Punctuation 6
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 62
 
13.4%
주 33
 
7.2%
동 33
 
7.2%
시 31
 
6.7%
역 30
 
6.5%
서 30
 
6.5%
구 30
 
6.5%
로 30
 
6.5%
무 10
 
2.2%
대 10
 
2.2%
Other values (57) 162
35.1%
Decimal Number
ValueCountFrequency (%)
1 24
20.3%
8 16
13.6%
4 16
13.6%
2 15
12.7%
7 10
8.5%
5 9
 
7.6%
0 9
 
7.6%
6 9
 
7.6%
3 5
 
4.2%
9 5
 
4.2%
Space Separator
ValueCountFrequency (%)
138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 461
57.6%
Common 339
42.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 62
 
13.4%
주 33
 
7.2%
동 33
 
7.2%
시 31
 
6.7%
역 30
 
6.5%
서 30
 
6.5%
구 30
 
6.5%
로 30
 
6.5%
무 10
 
2.2%
대 10
 
2.2%
Other values (57) 162
35.1%
Common
ValueCountFrequency (%)
138
40.7%
( 29
 
8.6%
) 29
 
8.6%
1 24
 
7.1%
, 19
 
5.6%
8 16
 
4.7%
4 16
 
4.7%
2 15
 
4.4%
7 10
 
2.9%
5 9
 
2.7%
Other values (5) 34
 
10.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 461
57.6%
ASCII 340
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
40.6%
( 29
 
8.5%
) 29
 
8.5%
1 24
 
7.1%
, 19
 
5.6%
8 16
 
4.7%
4 16
 
4.7%
2 15
 
4.4%
7 10
 
2.9%
5 9
 
2.6%
Other values (6) 35
 
10.3%
Hangul
ValueCountFrequency (%)
광 62
 
13.4%
주 33
 
7.2%
동 33
 
7.2%
시 31
 
6.7%
역 30
 
6.5%
서 30
 
6.5%
구 30
 
6.5%
로 30
 
6.5%
무 10
 
2.2%
대 10
 
2.2%
Other values (57) 162
35.1%

전화번호
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T05:21:59.312895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.033333
Min length12

Characters and Unicode

Total characters361
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row062-373-5293
2nd row062-383-7572
3rd row062-371-0750
4th row062-382-7588
5th row062-652-8275
ValueCountFrequency (%)
062-375-5110 2
 
6.7%
062-373-5293 1
 
3.3%
062-228-1083 1
 
3.3%
062-719-4275 1
 
3.3%
062-613-6651 1
 
3.3%
062-381-3733 1
 
3.3%
062-447-8575 1
 
3.3%
062-371-7512 1
 
3.3%
062-382-8575 1
 
3.3%
062-523-5353 1
 
3.3%
Other values (19) 19
63.3%
2024-03-15T05:22:00.763753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.6%
2 53
14.7%
0 42
11.6%
6 41
11.4%
5 39
10.8%
3 35
9.7%
7 33
9.1%
8 21
 
5.8%
1 20
 
5.5%
4 8
 
2.2%
Other values (2) 9
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.1%
Dash Punctuation 60
 
16.6%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 53
17.7%
0 42
14.0%
6 41
13.7%
5 39
13.0%
3 35
11.7%
7 33
11.0%
8 21
 
7.0%
1 20
 
6.7%
4 8
 
2.7%
9 8
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.6%
2 53
14.7%
0 42
11.6%
6 41
11.4%
5 39
10.8%
3 35
9.7%
7 33
9.1%
8 21
 
5.8%
1 20
 
5.5%
4 8
 
2.2%
Other values (2) 9
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.6%
2 53
14.7%
0 42
11.6%
6 41
11.4%
5 39
10.8%
3 35
9.7%
7 33
9.1%
8 21
 
5.8%
1 20
 
5.5%
4 8
 
2.2%
Other values (2) 9
 
2.5%

Correlations

2024-03-15T05:22:01.036070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명지번주소도로명주소전화번호
업소명1.0001.0001.0001.000
지번주소1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-03-15T05:21:51.864438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:21:52.145420image/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

업소명지번주소도로명주소전화번호
0현대동물병원광주광역시 서구 화정동 743-9광주광역시 서구 상무대로 1045 (화정동)062-373-5293
1금호동물병원광주광역시 서구 금호동 243-6광주광역시 서구 금화로 54 (금호동)062-383-7572
2하나로동물병원광주광역시 서구 치평동 1236-2광주광역시 서구 상무중앙로 62, 1층 (치평동)062-371-0750
3좋은동물병원광주광역시 서구 금호동 753-2광주광역시 서구 운천로 29 (금호동)062-382-7588
4한결동물의료센터광주광역시 서구 풍암동 1137광주광역시 서구 풍암순환로188번길 15 (풍암동)062-652-8275
5다나동물병원광주광역시 서구 농성동 393-16광주광역시 서구 죽봉대로 42 (농성동)062-365-1491
6푸른동물병원광주광역시 서구 쌍촌동 1348-6광주광역시 서구 상일로 44 (쌍촌동)062-375-1613
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9Dr.남동물병원광주광역시 서구 화정동 835-22광주광역시 서구 월드컵4강로 58 (화정동)062-236-0575
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21화정힐동물병원광주광역시 서구 쌍촌동 470-5광주광역시 서구 화정로 211062-382-8575
22로하동물병원광주광역시 서구 쌍촌동 1294-3광주광역시 서구 상무민주로76번길 8-1, 1층 (쌍촌동)062-371-7512
23본펫동물병원광주광역시 서구 광천동 38-19광주광역시 서구 무진대로 945-1 (광천동)062-447-8575
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