Overview

Dataset statistics

Number of variables3
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory27.2 B

Variable types

Text3

Dataset

Description전남 진도군 관내 의료기관 및 약국 현황에서 시설명, 주소, 연락처 등에 대한 데이터를 첨부하여 업로드하고자 합니다.
URLhttps://www.data.go.kr/data/3069663/fileData.do

Alerts

전호번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:04:51.208284
Analysis finished2023-12-11 23:04:51.505677
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T08:04:51.612560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length4.5121951
Min length2

Characters and Unicode

Total characters185
Distinct characters80
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row중앙의원
2nd row제일
3rd row성심
4th row김기중내과
5th row김흉부외과
ValueCountFrequency (%)
4
 
7.5%
1
 
1.9%
1
 
1.9%
미소치과의원 1
 
1.9%
사랑애한의원 1
 
1.9%
경희터미널한의원 1
 
1.9%
동양한의원 1
 
1.9%
김명수한의원 1
 
1.9%
1
 
1.9%
1
 
1.9%
Other values (40) 40
75.5%
2023-12-12T08:04:51.898416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
8.6%
16
 
8.6%
13
 
7.0%
9
 
4.9%
6
 
3.2%
5
 
2.7%
5
 
2.7%
5
 
2.7%
5
 
2.7%
4
 
2.2%
Other values (70) 101
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
93.0%
Space Separator 13
 
7.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
9.3%
16
 
9.3%
9
 
5.2%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
4
 
2.3%
4
 
2.3%
Other values (69) 97
56.4%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
93.0%
Common 13
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
9.3%
16
 
9.3%
9
 
5.2%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
4
 
2.3%
4
 
2.3%
Other values (69) 97
56.4%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
93.0%
ASCII 13
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
16
 
9.3%
16
 
9.3%
9
 
5.2%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
4
 
2.3%
4
 
2.3%
Other values (69) 97
56.4%
ASCII
ValueCountFrequency (%)
13
100.0%

전호번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T08:04:52.088558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02439
Min length12

Characters and Unicode

Total characters493
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

Unique41 ?
Unique (%)100.0%

Sample

1st row061-544-2123
2nd row061-544-2204
3rd row061-542-7522
4th row061-544-8275
5th row061-542-6877
ValueCountFrequency (%)
061-544-2123 1
 
2.4%
061-542-2877 1
 
2.4%
061-544-2765 1
 
2.4%
061-544-1275 1
 
2.4%
061-542-0075 1
 
2.4%
061-544-4466 1
 
2.4%
061-544-2159 1
 
2.4%
061-544-2145 1
 
2.4%
061-544-2093 1
 
2.4%
061-544-1318 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T08:04:52.384774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.6%
4 66
13.4%
0 65
13.2%
1 58
11.8%
5 57
11.6%
6 49
9.9%
7 33
6.7%
2 32
 
6.5%
3 21
 
4.3%
8 21
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 411
83.4%
Dash Punctuation 82
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 66
16.1%
0 65
15.8%
1 58
14.1%
5 57
13.9%
6 49
11.9%
7 33
8.0%
2 32
7.8%
3 21
 
5.1%
8 21
 
5.1%
9 9
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 493
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.6%
4 66
13.4%
0 65
13.2%
1 58
11.8%
5 57
11.6%
6 49
9.9%
7 33
6.7%
2 32
 
6.5%
3 21
 
4.3%
8 21
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.6%
4 66
13.4%
0 65
13.2%
1 58
11.8%
5 57
11.6%
6 49
9.9%
7 33
6.7%
2 32
 
6.5%
3 21
 
4.3%
8 21
 
4.3%

주소
Text

Distinct35
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T08:04:52.567748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length11.195122
Min length8

Characters and Unicode

Total characters459
Distinct characters46
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

Unique31 ?
Unique (%)75.6%

Sample

1st row진도읍 남문길 40
2nd row진도읍 교동5길 11
3rd row진도읍 남문길 25
4th row진도읍 남문길 13
5th row진도읍 남동1길 32
ValueCountFrequency (%)
진도읍 28
23.1%
남문길 22
18.2%
임회면 5
 
4.1%
5 4
 
3.3%
십일시길 4
 
3.3%
고군면 3
 
2.5%
13 3
 
2.5%
2층 2
 
1.7%
남동1길 2
 
1.7%
34 2
 
1.7%
Other values (41) 46
38.0%
2023-12-12T08:04:52.896914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
17.4%
39
 
8.5%
30
 
6.5%
1 29
 
6.3%
28
 
6.1%
28
 
6.1%
26
 
5.7%
24
 
5.2%
2 18
 
3.9%
5 15
 
3.3%
Other values (36) 142
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
56.4%
Decimal Number 105
22.9%
Space Separator 80
 
17.4%
Dash Punctuation 9
 
2.0%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
15.1%
30
11.6%
28
10.8%
28
10.8%
26
10.0%
24
9.3%
13
 
5.0%
7
 
2.7%
7
 
2.7%
6
 
2.3%
Other values (20) 51
19.7%
Decimal Number
ValueCountFrequency (%)
1 29
27.6%
2 18
17.1%
5 15
14.3%
3 14
13.3%
4 12
11.4%
9 4
 
3.8%
7 4
 
3.8%
8 3
 
2.9%
0 3
 
2.9%
6 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
56.4%
Common 200
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
15.1%
30
11.6%
28
10.8%
28
10.8%
26
10.0%
24
9.3%
13
 
5.0%
7
 
2.7%
7
 
2.7%
6
 
2.3%
Other values (20) 51
19.7%
Common
ValueCountFrequency (%)
80
40.0%
1 29
 
14.5%
2 18
 
9.0%
5 15
 
7.5%
3 14
 
7.0%
4 12
 
6.0%
- 9
 
4.5%
9 4
 
2.0%
7 4
 
2.0%
8 3
 
1.5%
Other values (6) 12
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
56.4%
ASCII 200
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
40.0%
1 29
 
14.5%
2 18
 
9.0%
5 15
 
7.5%
3 14
 
7.0%
4 12
 
6.0%
- 9
 
4.5%
9 4
 
2.0%
7 4
 
2.0%
8 3
 
1.5%
Other values (6) 12
 
6.0%
Hangul
ValueCountFrequency (%)
39
15.1%
30
11.6%
28
10.8%
28
10.8%
26
10.0%
24
9.3%
13
 
5.0%
7
 
2.7%
7
 
2.7%
6
 
2.3%
Other values (20) 51
19.7%

Correlations

2023-12-12T08:04:53.325970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명전호번호주소
의료기관명1.0001.0000.976
전호번호1.0001.0001.000
주소0.9761.0001.000

Missing values

2023-12-12T08:04:51.411425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:04:51.481713image/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

의료기관명전호번호주소
0중앙의원061-544-2123진도읍 남문길 40
1제일061-544-2204진도읍 교동5길 11
2성심061-542-7522진도읍 남문길 25
3김기중내과061-544-8275진도읍 남문길 13
4김흉부외과061-542-6877진도읍 남동1길 32
5진도경희061-544-8987진도읍 남문길 5
6진도의원061-543-9074진도읍 남문길 12-1
7이안과의원061-542-7075진도읍 남문길 13
8속편한곽내과061-543-8575진도읍 남문길 5, 6동 2층
9서울061-543-9090고군면 오일시2길107-9
의료기관명전호번호주소
31제 일061-543-1011고군면 오일시1길 39
32부 부061-543-1157고군면 지수길 51-5
33매 정061-543-3037임회면 십일시길 47-1
34우리들061-542-6868지산면 지산로 1182
35메디팜영진061-544-7501진도읍 남문길 12-13
36진도터미널061-544-7541진도읍 남문길 5
37조도밝은약국070-8837-8007조도면 창유2길
38진도건강약국061-543-0079진도읍 남문길12
39우리약국061-544-9770진도읍 남문길45.1층
40사거리약국061-542-3338임회면 십일시길23-12