Overview

Dataset statistics

Number of variables5
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory41.9 B

Variable types

Categorical2
Text3

Dataset

Description충청남도 부여군에 위치한 병의원 현황에 대한 정보입니다.(의원구분, 의료기관명, 도로명주소, 전화번호, 데이터기준일자)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=437&beforeMenuCd=DOM_000000201001001000&publicdatapk=3046037

Alerts

데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:09:46.408596
Analysis finished2024-01-09 21:09:46.803669
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
의원
31 
치과의원
18 
한의원
14 
요양병원
 
3
정신병원
 
2

Length

Max length4
Median length3
Mean length2.8695652
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
의원 31
44.9%
치과의원 18
26.1%
한의원 14
20.3%
요양병원 3
 
4.3%
정신병원 2
 
2.9%
병원 1
 
1.4%

Length

2024-01-10T06:09:46.873815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:46.982895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 31
44.9%
치과의원 18
26.1%
한의원 14
20.3%
요양병원 3
 
4.3%
정신병원 2
 
2.9%
병원 1
 
1.4%

의료기관명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-10T06:09:47.169792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length6.5217391
Min length4

Characters and Unicode

Total characters450
Distinct characters115
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

Unique69 ?
Unique (%)100.0%

Sample

1st row건양대학교부여병원
2nd row부여노인전문병원
3rd row부여요양병원
4th row부여효요양병원
5th row부여다사랑병원
ValueCountFrequency (%)
건양대학교부여병원 1
 
1.4%
일층치과의원 1
 
1.4%
노승식치과의원 1
 
1.4%
임성우내외치과의원 1
 
1.4%
홍산박치과의원 1
 
1.4%
굿샘치과의원 1
 
1.4%
서울치과의원 1
 
1.4%
현대내과의원 1
 
1.4%
바른이연합치과의원 1
 
1.4%
삼성치과의원 1
 
1.4%
Other values (60) 60
85.7%
2024-01-10T06:09:47.489226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 70
 
15.6%
의 65
 
14.4%
과 35
 
7.8%
치 18
 
4.0%
부 15
 
3.3%
한 14
 
3.1%
여 13
 
2.9%
외 8
 
1.8%
신 8
 
1.8%
성 8
 
1.8%
Other values (105) 196
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
99.8%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 70
 
15.6%
의 65
 
14.5%
과 35
 
7.8%
치 18
 
4.0%
부 15
 
3.3%
한 14
 
3.1%
여 13
 
2.9%
외 8
 
1.8%
신 8
 
1.8%
성 8
 
1.8%
Other values (104) 195
43.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 70
 
15.6%
의 65
 
14.5%
과 35
 
7.8%
치 18
 
4.0%
부 15
 
3.3%
한 14
 
3.1%
여 13
 
2.9%
외 8
 
1.8%
신 8
 
1.8%
성 8
 
1.8%
Other values (104) 195
43.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
99.8%
ASCII 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 70
 
15.6%
의 65
 
14.5%
과 35
 
7.8%
치 18
 
4.0%
부 15
 
3.3%
한 14
 
3.1%
여 13
 
2.9%
외 8
 
1.8%
신 8
 
1.8%
성 8
 
1.8%
Other values (104) 195
43.4%
ASCII
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-10T06:09:47.737511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length22.797101
Min length18

Characters and Unicode

Total characters1573
Distinct characters75
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)97.1%

Sample

1st row충청남도 부여군 부여읍 계백로 200
2nd row충청남도 부여군 규암면 반산로 39
3rd row충청남도 부여군 부여읍 삼충로 776
4th row충청남도 부여군 초촌면 소호로 71
5th row충청남도 부여군 장암면 충절로1713번길 16
ValueCountFrequency (%)
충청남도 69
18.0%
부여군 69
18.0%
부여읍 54
14.1%
2층 19
 
4.9%
사비로 16
 
4.2%
성왕로 10
 
2.6%
중앙로 8
 
2.1%
부여로 6
 
1.6%
홍산면 6
 
1.6%
홍산로 6
 
1.6%
Other values (92) 121
31.5%
2024-01-10T06:09:48.109271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
20.0%
부 130
 
8.3%
여 129
 
8.2%
충 73
 
4.6%
남 69
 
4.4%
도 69
 
4.4%
군 69
 
4.4%
청 69
 
4.4%
로 68
 
4.3%
읍 54
 
3.4%
Other values (65) 528
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 979
62.2%
Space Separator 315
 
20.0%
Decimal Number 218
 
13.9%
Other Punctuation 37
 
2.4%
Dash Punctuation 12
 
0.8%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Math Symbol 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 130
13.3%
여 129
13.2%
충 73
 
7.5%
남 69
 
7.0%
도 69
 
7.0%
군 69
 
7.0%
청 69
 
7.0%
로 68
 
6.9%
읍 54
 
5.5%
층 34
 
3.5%
Other values (49) 215
22.0%
Decimal Number
ValueCountFrequency (%)
1 45
20.6%
2 36
16.5%
6 25
11.5%
3 24
11.0%
9 23
10.6%
8 15
 
6.9%
4 15
 
6.9%
7 13
 
6.0%
0 12
 
5.5%
5 10
 
4.6%
Space Separator
ValueCountFrequency (%)
315
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 979
62.2%
Common 594
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 130
13.3%
여 129
13.2%
충 73
 
7.5%
남 69
 
7.0%
도 69
 
7.0%
군 69
 
7.0%
청 69
 
7.0%
로 68
 
6.9%
읍 54
 
5.5%
층 34
 
3.5%
Other values (49) 215
22.0%
Common
ValueCountFrequency (%)
315
53.0%
1 45
 
7.6%
, 37
 
6.2%
2 36
 
6.1%
6 25
 
4.2%
3 24
 
4.0%
9 23
 
3.9%
8 15
 
2.5%
4 15
 
2.5%
7 13
 
2.2%
Other values (6) 46
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 979
62.2%
ASCII 594
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
53.0%
1 45
 
7.6%
, 37
 
6.2%
2 36
 
6.1%
6 25
 
4.2%
3 24
 
4.0%
9 23
 
3.9%
8 15
 
2.5%
4 15
 
2.5%
7 13
 
2.2%
Other values (6) 46
 
7.7%
Hangul
ValueCountFrequency (%)
부 130
13.3%
여 129
13.2%
충 73
 
7.5%
남 69
 
7.0%
도 69
 
7.0%
군 69
 
7.0%
청 69
 
7.0%
로 68
 
6.9%
읍 54
 
5.5%
층 34
 
3.5%
Other values (49) 215
22.0%

전화번호
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-10T06:09:48.313173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.043478
Min length12

Characters and Unicode

Total characters831
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

Unique69 ?
Unique (%)100.0%

Sample

1st row041-837-1200
2nd row041-836-1985
3rd row041-833-7200
4th row041-834-5114
5th row041-832-7261
ValueCountFrequency (%)
041-837-1200 1
 
1.4%
041-833-6333 1
 
1.4%
041-836-0275 1
 
1.4%
041-833-5900 1
 
1.4%
041-836-7458 1
 
1.4%
041-832-7575 1
 
1.4%
041-836-2804 1
 
1.4%
041-833-0951 1
 
1.4%
2275 1
 
1.4%
041-832-2211 1
 
1.4%
Other values (61) 61
85.9%
2024-01-10T06:09:48.622841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 136
16.4%
0 104
12.5%
8 99
11.9%
3 95
11.4%
4 90
10.8%
1 86
10.3%
7 64
7.7%
5 61
7.3%
2 48
 
5.8%
6 25
 
3.0%
Other values (2) 23
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 693
83.4%
Dash Punctuation 136
 
16.4%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
15.0%
8 99
14.3%
3 95
13.7%
4 90
13.0%
1 86
12.4%
7 64
9.2%
5 61
8.8%
2 48
6.9%
6 25
 
3.6%
9 21
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 831
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 136
16.4%
0 104
12.5%
8 99
11.9%
3 95
11.4%
4 90
10.8%
1 86
10.3%
7 64
7.7%
5 61
7.3%
2 48
 
5.8%
6 25
 
3.0%
Other values (2) 23
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 831
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 136
16.4%
0 104
12.5%
8 99
11.9%
3 95
11.4%
4 90
10.8%
1 86
10.3%
7 64
7.7%
5 61
7.3%
2 48
 
5.8%
6 25
 
3.0%
Other values (2) 23
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-10-31
69 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-31
2nd row2023-10-31
3rd row2023-10-31
4th row2023-10-31
5th row2023-10-31

Common Values

ValueCountFrequency (%)
2023-10-31 69
100.0%

Length

2024-01-10T06:09:48.743369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:48.826963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-31 69
100.0%

Correlations

2024-01-10T06:09:48.883868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분의료기관명도로명주소전화번호
구분1.0001.0000.9631.000
의료기관명1.0001.0001.0001.000
도로명주소0.9631.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-10T06:09:46.634811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:09:46.757287image/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

구분의료기관명도로명주소전화번호데이터기준일자
0병원건양대학교부여병원충청남도 부여군 부여읍 계백로 200041-837-12002023-10-31
1요양병원부여노인전문병원충청남도 부여군 규암면 반산로 39041-836-19852023-10-31
2요양병원부여요양병원충청남도 부여군 부여읍 삼충로 776041-833-72002023-10-31
3요양병원부여효요양병원충청남도 부여군 초촌면 소호로 71041-834-51142023-10-31
4정신병원부여다사랑병원충청남도 부여군 장암면 충절로1713번길 16041-832-72612023-10-31
5정신병원부여청담병원충청남도 부여군 부여읍 삼충로648번길 41041-833-20892023-10-31
6의원서울아산튼튼의원충청남도 부여군 부여읍 성왕로193번길 3, 2층041-833-82002023-10-31
7의원부여이비인후과의원충청남도 부여군 부여읍 성왕로 196, 3층041-408-75002023-10-31
8의원부여시민내과의원충청남도 부여군 부여읍 부여로 6-12, 1층041-408-75822023-10-31
9의원성요셉연합의원충청남도 부여군 부여읍 사비로 78, 지하1층~지상3층041-835-75822023-10-31
구분의료기관명도로명주소전화번호데이터기준일자
59한의원최강한의원충청남도 부여군 부여읍 사비로 66041-837-54252023-10-31
60한의원신재한의원충청남도 부여군 부여읍 중앙로 9, 3층041-837-10752023-10-31
61한의원지성한의원충청남도 부여군 부여읍 성왕로 196041-833-75332023-10-31
62한의원백제한의원충청남도 부여군 부여읍 사비로 86, 2층 (우영프라자 )041-832-82752023-10-31
63한의원동의보감한의원충청남도 부여군 부여읍 사비로 104-1041-833-10752023-10-31
64한의원효성한의원충청남도 부여군 규암면 규암로 10041-835-59922023-10-31
65한의원소망한의원충청남도 부여군 부여읍 사비로108번길 10-1041-834-55632023-10-31
66한의원부여한의원충청남도 부여군 부여읍 성왕로 190041-836-67672023-10-31
67한의원대경한의원충청남도 부여군 부여읍 부여로 9-3041-836-82752023-10-31
68한의원원당한의원충청남도 부여군 부여읍 부여로 14-7041-832-91932023-10-31