Overview

Dataset statistics

Number of variables4
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory35.3 B

Variable types

Text3
DateTime1

Dataset

Description2022. 3. 2. 기준 전라남도 광양시 치과 의원 현황에 대한 데이터로 명칭, 소재지, 전화번호 등을 제공합니다.
Author전라남도 광양시
URLhttps://www.data.go.kr/data/3077913/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:14:37.319401
Analysis finished2023-12-12 12:14:37.765936
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T21:14:37.980219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.575
Min length5

Characters and Unicode

Total characters263
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row민병민치과의원
2nd row홍치과의원
3rd row방세환치과의원
4th row금호치과의원
5th row서울치과의원
ValueCountFrequency (%)
민병민치과의원 1
 
2.5%
홍치과의원 1
 
2.5%
유디치과의원 1
 
2.5%
드림아이치과의원 1
 
2.5%
오복치과의원 1
 
2.5%
온누리치과의원 1
 
2.5%
행복나눔치과의원 1
 
2.5%
김옥희치과의원 1
 
2.5%
소담치과의원 1
 
2.5%
하늘치과의원 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T21:14:38.464975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 40
15.2%
과 40
15.2%
의 40
15.2%
원 40
15.2%
이 5
 
1.9%
랑 3
 
1.1%
광 3
 
1.1%
리 3
 
1.1%
스 3
 
1.1%
나 3
 
1.1%
Other values (66) 83
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 40
15.2%
과 40
15.2%
의 40
15.2%
원 40
15.2%
이 5
 
1.9%
랑 3
 
1.1%
광 3
 
1.1%
리 3
 
1.1%
스 3
 
1.1%
나 3
 
1.1%
Other values (66) 83
31.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 40
15.2%
과 40
15.2%
의 40
15.2%
원 40
15.2%
이 5
 
1.9%
랑 3
 
1.1%
광 3
 
1.1%
리 3
 
1.1%
스 3
 
1.1%
나 3
 
1.1%
Other values (66) 83
31.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 40
15.2%
과 40
15.2%
의 40
15.2%
원 40
15.2%
이 5
 
1.9%
랑 3
 
1.1%
광 3
 
1.1%
리 3
 
1.1%
스 3
 
1.1%
나 3
 
1.1%
Other values (66) 83
31.6%

의료기관주소(도로명)
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T21:14:38.731755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length24.975
Min length19

Characters and Unicode

Total characters999
Distinct characters71
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

Unique40 ?
Unique (%)100.0%

Sample

1st row전라남도 광양시 광양읍 읍내중앙길 14
2nd row전라남도 광양시 광장로 109, 2층 202호 (중동)
3rd row전라남도 광양시 광양읍 신재로 65, 1층
4th row전라남도 광양시 중마중앙로 87-1, 3층 (중동)
5th row전라남도 광양시 금영로 134, 2층 (광영동)
ValueCountFrequency (%)
전라남도 40
17.2%
광양시 40
17.2%
2층 18
 
7.8%
광양읍 13
 
5.6%
중동 13
 
5.6%
공영로 8
 
3.4%
신재로 5
 
2.2%
3층 5
 
2.2%
광장로 4
 
1.7%
중마중앙로 4
 
1.7%
Other values (65) 82
35.3%
2023-12-12T21:14:39.151675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
19.2%
광 64
 
6.4%
양 55
 
5.5%
라 41
 
4.1%
시 41
 
4.1%
전 40
 
4.0%
남 40
 
4.0%
도 40
 
4.0%
2 40
 
4.0%
, 38
 
3.8%
Other values (61) 408
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 571
57.2%
Space Separator 192
 
19.2%
Decimal Number 142
 
14.2%
Other Punctuation 38
 
3.8%
Open Punctuation 26
 
2.6%
Close Punctuation 26
 
2.6%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 64
11.2%
양 55
 
9.6%
라 41
 
7.2%
시 41
 
7.2%
전 40
 
7.0%
남 40
 
7.0%
도 40
 
7.0%
로 38
 
6.7%
층 33
 
5.8%
동 31
 
5.4%
Other values (44) 148
25.9%
Decimal Number
ValueCountFrequency (%)
2 40
28.2%
1 28
19.7%
7 14
 
9.9%
3 12
 
8.5%
4 10
 
7.0%
6 9
 
6.3%
0 9
 
6.3%
5 7
 
4.9%
9 7
 
4.9%
8 6
 
4.2%
Space Separator
ValueCountFrequency (%)
192
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 571
57.2%
Common 427
42.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 64
11.2%
양 55
 
9.6%
라 41
 
7.2%
시 41
 
7.2%
전 40
 
7.0%
남 40
 
7.0%
도 40
 
7.0%
로 38
 
6.7%
층 33
 
5.8%
동 31
 
5.4%
Other values (44) 148
25.9%
Common
ValueCountFrequency (%)
192
45.0%
2 40
 
9.4%
, 38
 
8.9%
1 28
 
6.6%
( 26
 
6.1%
) 26
 
6.1%
7 14
 
3.3%
3 12
 
2.8%
4 10
 
2.3%
6 9
 
2.1%
Other values (6) 32
 
7.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 571
57.2%
ASCII 428
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
44.9%
2 40
 
9.3%
, 38
 
8.9%
1 28
 
6.5%
( 26
 
6.1%
) 26
 
6.1%
7 14
 
3.3%
3 12
 
2.8%
4 10
 
2.3%
6 9
 
2.1%
Other values (7) 33
 
7.7%
Hangul
ValueCountFrequency (%)
광 64
11.2%
양 55
 
9.6%
라 41
 
7.2%
시 41
 
7.2%
전 40
 
7.0%
남 40
 
7.0%
도 40
 
7.0%
로 38
 
6.7%
층 33
 
5.8%
동 31
 
5.4%
Other values (44) 148
25.9%

의료기관전화번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T21:14:39.393943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique40 ?
Unique (%)100.0%

Sample

1st row061-763-0018
2nd row061-792-7528
3rd row061-762-2345
4th row061-793-4111
5th row061-793-1357
ValueCountFrequency (%)
061-763-0018 1
 
2.5%
061-792-7528 1
 
2.5%
061-795-4010 1
 
2.5%
061-792-2879 1
 
2.5%
061-772-2875 1
 
2.5%
061-794-2275 1
 
2.5%
061-792-0204 1
 
2.5%
061-794-8500 1
 
2.5%
061-791-3311 1
 
2.5%
061-794-2879 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T21:14:39.775112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.7%
0 63
13.1%
7 63
13.1%
1 56
11.7%
2 56
11.7%
6 55
11.5%
9 30
 
6.2%
8 27
 
5.6%
5 25
 
5.2%
3 13
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
15.8%
7 63
15.8%
1 56
14.0%
2 56
14.0%
6 55
13.8%
9 30
7.5%
8 27
6.8%
5 25
 
6.2%
3 13
 
3.2%
4 12
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.7%
0 63
13.1%
7 63
13.1%
1 56
11.7%
2 56
11.7%
6 55
11.5%
9 30
 
6.2%
8 27
 
5.6%
5 25
 
5.2%
3 13
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.7%
0 63
13.1%
7 63
13.1%
1 56
11.7%
2 56
11.7%
6 55
11.5%
9 30
 
6.2%
8 27
 
5.6%
5 25
 
5.2%
3 13
 
2.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2022-03-02 00:00:00
Maximum2022-03-02 00:00:00
2023-12-12T21:14:39.900728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:14:40.012688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T21:14:40.088691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관주소(도로명)의료기관전화번호
의료기관명1.0001.0001.000
의료기관주소(도로명)1.0001.0001.000
의료기관전화번호1.0001.0001.000

Missing values

2023-12-12T21:14:37.586951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:14:37.720181image/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

의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
0민병민치과의원전라남도 광양시 광양읍 읍내중앙길 14061-763-00182022-03-02
1홍치과의원전라남도 광양시 광장로 109, 2층 202호 (중동)061-792-75282022-03-02
2방세환치과의원전라남도 광양시 광양읍 신재로 65, 1층061-762-23452022-03-02
3금호치과의원전라남도 광양시 중마중앙로 87-1, 3층 (중동)061-793-41112022-03-02
4서울치과의원전라남도 광양시 금영로 134, 2층 (광영동)061-793-13572022-03-02
5황성호치과의원전라남도 광양시 광양읍 신재로 77, 1층061-761-22752022-03-02
6미치과의원전라남도 광양시 중마중앙로 141 (중동)061-793-75282022-03-02
7염규선치과의원전라남도 광양시 중마중앙로 120, 2층(중동)061-762-22282022-03-02
8미소치과의원전라남도 광양시 광양읍 칠성로 56, 2층061-762-28252022-03-02
9함께하는치과의원전라남도 광양시 백운로 1638-11, 1층 (금호동, 백운메디칼센터)061-798-70002022-03-02
의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
30미래치과의원전라남도 광양시 광양읍 용강로 24, 2층061-763-28202022-03-02
31베스트치과의원전라남도 광양시 광양읍 용강로 23, 2층061-761-28792022-03-02
32이화치과의원전라남도 광양시 광양읍 칠성로 51, 2층061-762-02222022-03-02
33행복한최치과의원전라남도 광양시 중마중앙로 126, 2층 (중동)061-795-75282022-03-02
34조은치과의원전라남도 광양시 광양읍 대림오성로 79, 2층061-762-28532022-03-02
35제철다나치과의원전라남도 광양시 금호로 26, 206호(금호동,몰오브광양)061-913-20802022-03-02
36이나치과의원전라남도 광양시 사동로 180,2층(마동)061-791-22752022-03-02
37광양더사랑치과의원전라남도 광양시 공영로 75, 2층(중동)061-795-28792022-03-02
38이사랑치과의원전라남도 광양시 공영로 73, 3층(중동)061-792-92752022-03-02
39하얀치과의원전라남도 광양시 공영로 49, 2층(중동)061-791-88782022-03-02