Overview

Dataset statistics

Number of variables5
Number of observations49
Missing cells3
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory42.7 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description신안군 의약업소(의료기관, 약국, 약방, 의약품 취급소, 편의점) 등록 현황을 제공하여 관광객의 편의 도모 및 지역경제 활성화
Author전라남도 신안군
URLhttps://www.data.go.kr/data/3068760/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 3 (6.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:04:24.599672
Analysis finished2023-12-12 00:04:25.010801
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct9
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size524.0 B
일반의원
11 
약국
11 
안전상비의약품판매점
7 
치과의원
5 
한의원
5 
Other values (4)
10 

Length

Max length10
Median length7
Mean length4.5918367
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row병원
2nd row병원
3rd row요양병원
4th row요양병원
5th row일반의원

Common Values

ValueCountFrequency (%)
일반의원 11
22.4%
약국 11
22.4%
안전상비의약품판매점 7
14.3%
치과의원 5
10.2%
한의원 5
10.2%
의료기기판매점 4
 
8.2%
병원 2
 
4.1%
요양병원 2
 
4.1%
약업사(약방) 2
 
4.1%

Length

2023-12-12T09:04:25.093184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:04:25.218698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반의원 11
22.4%
약국 11
22.4%
안전상비의약품판매점 7
14.3%
치과의원 5
10.2%
한의원 5
10.2%
의료기기판매점 4
 
8.2%
병원 2
 
4.1%
요양병원 2
 
4.1%
약업사(약방 2
 
4.1%

업소명
Text

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T09:04:25.427173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.2857143
Min length4

Characters and Unicode

Total characters308
Distinct characters94
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)95.9%

Sample

1st row의료법인신안대우의료재단(대우병원)
2nd row의료법인서연의료재단(신안천사병원)
3rd row의료법인새림의료재단압해생태요양병원
4th row신안군노인전문요양병원
5th row서울의원
ValueCountFrequency (%)
cu신안지도점 2
 
4.0%
대일약국 1
 
2.0%
구영약국 1
 
2.0%
지도행복약국 1
 
2.0%
지도중앙약국 1
 
2.0%
서울약국 1
 
2.0%
압해종로약국 1
 
2.0%
유한약국 1
 
2.0%
신안약국 1
 
2.0%
세명약국 1
 
2.0%
Other values (39) 39
78.0%
2023-12-12T09:04:25.749570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 28
 
9.1%
원 26
 
8.4%
안 16
 
5.2%
신 14
 
4.5%
약 13
 
4.2%
국 12
 
3.9%
점 8
 
2.6%
U 8
 
2.6%
C 8
 
2.6%
지 7
 
2.3%
Other values (84) 168
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
92.2%
Uppercase Letter 19
 
6.2%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 28
 
9.9%
원 26
 
9.2%
안 16
 
5.6%
신 14
 
4.9%
약 13
 
4.6%
국 12
 
4.2%
점 8
 
2.8%
지 7
 
2.5%
도 7
 
2.5%
한 7
 
2.5%
Other values (76) 146
51.4%
Uppercase Letter
ValueCountFrequency (%)
U 8
42.1%
C 8
42.1%
G 1
 
5.3%
H 1
 
5.3%
L 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
92.2%
Latin 19
 
6.2%
Common 5
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 28
 
9.9%
원 26
 
9.2%
안 16
 
5.6%
신 14
 
4.9%
약 13
 
4.6%
국 12
 
4.2%
점 8
 
2.8%
지 7
 
2.5%
도 7
 
2.5%
한 7
 
2.5%
Other values (76) 146
51.4%
Latin
ValueCountFrequency (%)
U 8
42.1%
C 8
42.1%
G 1
 
5.3%
H 1
 
5.3%
L 1
 
5.3%
Common
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
92.2%
ASCII 24
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 28
 
9.9%
원 26
 
9.2%
안 16
 
5.6%
신 14
 
4.9%
약 13
 
4.6%
국 12
 
4.2%
점 8
 
2.8%
지 7
 
2.5%
도 7
 
2.5%
한 7
 
2.5%
Other values (76) 146
51.4%
ASCII
ValueCountFrequency (%)
U 8
33.3%
C 8
33.3%
) 2
 
8.3%
( 2
 
8.3%
1
 
4.2%
G 1
 
4.2%
H 1
 
4.2%
L 1
 
4.2%

주소
Text

Distinct46
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T09:04:25.954242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21
Min length15

Characters and Unicode

Total characters1029
Distinct characters66
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)87.8%

Sample

1st row전라남도 신안군 비금면 송치길 155-11
2nd row전라남도 신안군 암태면 중부로 1820-6
3rd row전란남도 신안군 추섬길 50
4th row전라남도 신안군 압해읍 구항길 92-50
5th row전라남도 신안군 지도읍 봉리길 16-3
ValueCountFrequency (%)
신안군 49
20.2%
전라남도 47
19.3%
지도읍 15
 
6.2%
압해읍 10
 
4.1%
압해로 8
 
3.3%
봉리길 8
 
3.3%
해제지도로 6
 
2.5%
중부로 6
 
2.5%
비금면 5
 
2.1%
안좌면 5
 
2.1%
Other values (69) 84
34.6%
2023-12-12T09:04:26.266376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
18.9%
도 73
 
7.1%
안 54
 
5.2%
신 51
 
5.0%
남 50
 
4.9%
전 49
 
4.8%
군 49
 
4.8%
라 47
 
4.6%
1 36
 
3.5%
2 28
 
2.7%
Other values (56) 398
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
63.4%
Space Separator 194
 
18.9%
Decimal Number 161
 
15.6%
Dash Punctuation 18
 
1.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 73
 
11.2%
안 54
 
8.3%
신 51
 
7.8%
남 50
 
7.7%
전 49
 
7.5%
군 49
 
7.5%
라 47
 
7.2%
읍 26
 
4.0%
길 25
 
3.8%
해 24
 
3.7%
Other values (42) 204
31.3%
Decimal Number
ValueCountFrequency (%)
1 36
22.4%
2 28
17.4%
8 22
13.7%
6 16
9.9%
3 13
 
8.1%
4 13
 
8.1%
5 11
 
6.8%
0 8
 
5.0%
7 8
 
5.0%
9 6
 
3.7%
Space Separator
ValueCountFrequency (%)
194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
63.4%
Common 377
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 73
 
11.2%
안 54
 
8.3%
신 51
 
7.8%
남 50
 
7.7%
전 49
 
7.5%
군 49
 
7.5%
라 47
 
7.2%
읍 26
 
4.0%
길 25
 
3.8%
해 24
 
3.7%
Other values (42) 204
31.3%
Common
ValueCountFrequency (%)
194
51.5%
1 36
 
9.5%
2 28
 
7.4%
8 22
 
5.8%
- 18
 
4.8%
6 16
 
4.2%
3 13
 
3.4%
4 13
 
3.4%
5 11
 
2.9%
0 8
 
2.1%
Other values (4) 18
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
63.4%
ASCII 377
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
51.5%
1 36
 
9.5%
2 28
 
7.4%
8 22
 
5.8%
- 18
 
4.8%
6 16
 
4.2%
3 13
 
3.4%
4 13
 
3.4%
5 11
 
2.9%
0 8
 
2.1%
Other values (4) 18
 
4.8%
Hangul
ValueCountFrequency (%)
도 73
 
11.2%
안 54
 
8.3%
신 51
 
7.8%
남 50
 
7.7%
전 49
 
7.5%
군 49
 
7.5%
라 47
 
7.2%
읍 26
 
4.0%
길 25
 
3.8%
해 24
 
3.7%
Other values (42) 204
31.3%

전화번호
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing3
Missing (%)6.1%
Memory size524.0 B
2023-12-12T09:04:26.455073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique44 ?
Unique (%)95.7%

Sample

1st row061-262-3301
2nd row061-274-1400
3rd row061-246-7200
4th row061-260-2700
5th row061-275-7650
ValueCountFrequency (%)
061-275-4006 2
 
4.3%
061-262-2001 1
 
2.2%
061-262-3301 1
 
2.2%
061-275-8600 1
 
2.2%
061-275-1365 1
 
2.2%
061-275-6300 1
 
2.2%
061-275-0107 1
 
2.2%
061-271-9468 1
 
2.2%
061-271-1057 1
 
2.2%
061-275-8288 1
 
2.2%
Other values (35) 35
76.1%
2023-12-12T09:04:26.739203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
16.7%
0 88
15.9%
1 77
13.9%
6 74
13.4%
2 66
12.0%
7 60
10.9%
5 34
 
6.2%
8 21
 
3.8%
4 20
 
3.6%
3 13
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
19.1%
1 77
16.7%
6 74
16.1%
2 66
14.3%
7 60
13.0%
5 34
 
7.4%
8 21
 
4.6%
4 20
 
4.3%
3 13
 
2.8%
9 7
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
16.7%
0 88
15.9%
1 77
13.9%
6 74
13.4%
2 66
12.0%
7 60
10.9%
5 34
 
6.2%
8 21
 
3.8%
4 20
 
3.6%
3 13
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
16.7%
0 88
15.9%
1 77
13.9%
6 74
13.4%
2 66
12.0%
7 60
10.9%
5 34
 
6.2%
8 21
 
3.8%
4 20
 
3.6%
3 13
 
2.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2021-05-13 00:00:00
Maximum2021-05-13 00:00:00
2023-12-12T09:04:26.829011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:04:26.911207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T09:04:26.980884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업소명주소전화번호
구분1.0000.9140.8480.526
업소명0.9141.0001.0001.000
주소0.8481.0001.0001.000
전화번호0.5261.0001.0001.000

Missing values

2023-12-12T09:04:24.859721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:04:24.973643image/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

구분업소명주소전화번호데이터기준일자
0병원의료법인신안대우의료재단(대우병원)전라남도 신안군 비금면 송치길 155-11061-262-33012021-05-13
1병원의료법인서연의료재단(신안천사병원)전라남도 신안군 암태면 중부로 1820-6061-274-14002021-05-13
2요양병원의료법인새림의료재단압해생태요양병원전란남도 신안군 추섬길 50061-246-72002021-05-13
3요양병원신안군노인전문요양병원전라남도 신안군 압해읍 구항길 92-50061-260-27002021-05-13
4일반의원서울의원전라남도 신안군 지도읍 봉리길 16-3061-275-76502021-05-13
5일반의원양지의원전라남도 신안군 지도읍 해제지도로 1250061-275-97002021-05-13
6일반의원신안의원전라남도 신안군 지도읍 해제지도로 1310061-275-78872021-05-13
7일반의원압해연합의원전라남도 신안군 압해읍 압해로 871-3061-271-75832021-05-13
8일반의원지도성심의원전라남도 신안군 지도읍 봉리길 7061-271-97012021-05-13
9일반의원중앙의원전라남도 신안군 압해읍 압해로 873061-246-80042021-05-13
구분업소명주소전화번호데이터기준일자
39의료기기판매점GHL 칠보석전라남도 신안군 지도읍 서촌길14(4층)<NA>2021-05-13
40의료기기판매점태성메디컬전라남도 신안군 압해읍 압해로 1262 2동<NA>2021-05-13
41의료기기판매점CU신안지도점전라남도 신안군 지도읍 해제지도로 1242061-275-40062021-05-13
42안전상비의약품판매점CU신안조선점전라남도 신안군 지도읍 해제지도로 1295061-246-00112021-05-13
43안전상비의약품판매점CU신안지도점전라남도 신안군 지도읍 해제지도로 1242061-275-40062021-05-13
44안전상비의약품판매점CU압해점전라남도 신안군 압해읍 886061-271-98892021-05-13
45안전상비의약품판매점CU신안비금점전라남도 신안군 비금면 비금북부길 8061-262-07482021-05-13
46안전상비의약품판매점CU신안안좌점전라남도 신안군 안좌면 중부로 821061-262-46312021-05-13
47안전상비의약품판매점CU신안신의점전라남도 신안군 신의면 신의로 608061-271-13002021-05-13
48안전상비의약품판매점CU신안자은점전라남도 신안군 자은면 구영2길 43-1<NA>2021-05-13