Overview

Dataset statistics

Number of variables8
Number of observations38
Missing cells4
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory67.5 B

Variable types

Categorical2
Text5
DateTime1

Dataset

Description산청군의 의료기관 정보(의료기관 구분, 업소명, 소재지, 대표자, 전화번호, 팩스번호)에 대한 공공데이터 자료입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3072700

Alerts

담당부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
팩스번호 has 4 (10.5%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:19:38.488086
Analysis finished2023-12-11 00:19:39.185954
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
한의원
16 
의원
15 
치과의원
6 
요양병원
 
1

Length

Max length4
Median length3
Mean length2.7894737
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row요양병원
2nd row의원
3rd row의원
4th row의원
5th row의원

Common Values

ValueCountFrequency (%)
한의원 16
42.1%
의원 15
39.5%
치과의원 6
 
15.8%
요양병원 1
 
2.6%

Length

2023-12-11T09:19:39.262397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:39.362610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 16
42.1%
의원 15
39.5%
치과의원 6
 
15.8%
요양병원 1
 
2.6%

업소명
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T09:19:39.547018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.9210526
Min length3

Characters and Unicode

Total characters225
Distinct characters75
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row산청요양병원
2nd row신세계의원
3rd row제생의원
4th row윤의원
5th row청송의원
ValueCountFrequency (%)
우리들의원.한의원 2
 
5.1%
생초한의원 1
 
2.6%
청담한의원 1
 
2.6%
참미소치과의원 1
 
2.6%
원광한의원 1
 
2.6%
덕산한의원 1
 
2.6%
매화한의원 1
 
2.6%
한보당한의원 1
 
2.6%
경희우리한의원 1
 
2.6%
우리치과의원 1
 
2.6%
Other values (28) 28
71.8%
2023-12-11T09:19:39.926920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 42
18.7%
원 42
18.7%
한 20
 
8.9%
과 9
 
4.0%
산 6
 
2.7%
치 6
 
2.7%
리 5
 
2.2%
우 4
 
1.8%
청 4
 
1.8%
신 3
 
1.3%
Other values (65) 84
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
98.7%
Other Punctuation 2
 
0.9%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 42
18.9%
원 42
18.9%
한 20
 
9.0%
과 9
 
4.1%
산 6
 
2.7%
치 6
 
2.7%
리 5
 
2.3%
우 4
 
1.8%
청 4
 
1.8%
신 3
 
1.4%
Other values (63) 81
36.5%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
98.7%
Common 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 42
18.9%
원 42
18.9%
한 20
 
9.0%
과 9
 
4.1%
산 6
 
2.7%
치 6
 
2.7%
리 5
 
2.3%
우 4
 
1.8%
청 4
 
1.8%
신 3
 
1.4%
Other values (63) 81
36.5%
Common
ValueCountFrequency (%)
. 2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
98.7%
ASCII 3
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 42
18.9%
원 42
18.9%
한 20
 
9.0%
과 9
 
4.1%
산 6
 
2.7%
치 6
 
2.7%
리 5
 
2.3%
우 4
 
1.8%
청 4
 
1.8%
신 3
 
1.4%
Other values (63) 81
36.5%
ASCII
ValueCountFrequency (%)
. 2
66.7%
1
33.3%

소재지
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T09:19:40.168369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length23.421053
Min length19

Characters and Unicode

Total characters890
Distinct characters63
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row경상남도 산청군 금서면 친환경로 2605번길 69
2nd row경상남도 산청군 단성면 목화로968번길 17
3rd row경상남도 산청군 산청읍 웅석봉로 10
4th row경상남도 산청군 시천면 남명로 205
5th row경상남도 산청군 산청읍 웅석봉로 18
ValueCountFrequency (%)
경상남도 38
18.5%
산청군 38
18.5%
산청읍 12
 
5.9%
신안면 10
 
4.9%
2층 8
 
3.9%
시천면 6
 
2.9%
금서면 5
 
2.4%
남명로 4
 
2.0%
17 4
 
2.0%
중앙로 4
 
2.0%
Other values (57) 76
37.1%
2023-12-11T09:19:40.531549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
18.8%
산 56
 
6.3%
청 50
 
5.6%
남 43
 
4.8%
경 40
 
4.5%
로 38
 
4.3%
도 38
 
4.3%
군 38
 
4.3%
상 38
 
4.3%
1 30
 
3.4%
Other values (53) 352
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
62.5%
Space Separator 167
 
18.8%
Decimal Number 144
 
16.2%
Other Punctuation 14
 
1.6%
Dash Punctuation 9
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 56
 
10.1%
청 50
 
9.0%
남 43
 
7.7%
경 40
 
7.2%
로 38
 
6.8%
도 38
 
6.8%
군 38
 
6.8%
상 38
 
6.8%
면 26
 
4.7%
번 12
 
2.2%
Other values (40) 177
31.8%
Decimal Number
ValueCountFrequency (%)
1 30
20.8%
2 27
18.8%
5 15
10.4%
0 14
9.7%
9 12
 
8.3%
4 12
 
8.3%
6 10
 
6.9%
7 10
 
6.9%
3 9
 
6.2%
8 5
 
3.5%
Space Separator
ValueCountFrequency (%)
167
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
62.5%
Common 334
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 56
 
10.1%
청 50
 
9.0%
남 43
 
7.7%
경 40
 
7.2%
로 38
 
6.8%
도 38
 
6.8%
군 38
 
6.8%
상 38
 
6.8%
면 26
 
4.7%
번 12
 
2.2%
Other values (40) 177
31.8%
Common
ValueCountFrequency (%)
167
50.0%
1 30
 
9.0%
2 27
 
8.1%
5 15
 
4.5%
, 14
 
4.2%
0 14
 
4.2%
9 12
 
3.6%
4 12
 
3.6%
6 10
 
3.0%
7 10
 
3.0%
Other values (3) 23
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
62.5%
ASCII 334
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
50.0%
1 30
 
9.0%
2 27
 
8.1%
5 15
 
4.5%
, 14
 
4.2%
0 14
 
4.2%
9 12
 
3.6%
4 12
 
3.6%
6 10
 
3.0%
7 10
 
3.0%
Other values (3) 23
 
6.9%
Hangul
ValueCountFrequency (%)
산 56
 
10.1%
청 50
 
9.0%
남 43
 
7.7%
경 40
 
7.2%
로 38
 
6.8%
도 38
 
6.8%
군 38
 
6.8%
상 38
 
6.8%
면 26
 
4.7%
번 12
 
2.2%
Other values (40) 177
31.8%

대표자
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T09:19:40.724241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters114
Distinct characters61
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

Unique36 ?
Unique (%)94.7%

Sample

1st row정영숙
2nd row이주봉
3rd row정종태
4th row윤기완
5th row이남규
ValueCountFrequency (%)
김형엽 2
 
5.3%
정영숙 1
 
2.6%
김명철 1
 
2.6%
강호민 1
 
2.6%
장재호 1
 
2.6%
전동민 1
 
2.6%
서보견 1
 
2.6%
김동수 1
 
2.6%
김현정 1
 
2.6%
이영민 1
 
2.6%
Other values (27) 27
71.1%
2023-12-11T09:19:41.027912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
7.9%
이 6
 
5.3%
정 6
 
5.3%
영 5
 
4.4%
동 5
 
4.4%
현 4
 
3.5%
재 3
 
2.6%
민 3
 
2.6%
형 3
 
2.6%
기 3
 
2.6%
Other values (51) 67
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
7.9%
이 6
 
5.3%
정 6
 
5.3%
영 5
 
4.4%
동 5
 
4.4%
현 4
 
3.5%
재 3
 
2.6%
민 3
 
2.6%
형 3
 
2.6%
기 3
 
2.6%
Other values (51) 67
58.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
7.9%
이 6
 
5.3%
정 6
 
5.3%
영 5
 
4.4%
동 5
 
4.4%
현 4
 
3.5%
재 3
 
2.6%
민 3
 
2.6%
형 3
 
2.6%
기 3
 
2.6%
Other values (51) 67
58.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
7.9%
이 6
 
5.3%
정 6
 
5.3%
영 5
 
4.4%
동 5
 
4.4%
현 4
 
3.5%
재 3
 
2.6%
민 3
 
2.6%
형 3
 
2.6%
기 3
 
2.6%
Other values (51) 67
58.8%

전화번호
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T09:19:41.241774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters456
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

Unique34 ?
Unique (%)89.5%

Sample

1st row055-983-1000
2nd row055-972-0012
3rd row055-973-2079
4th row055-973-6096
5th row055-973-5422
ValueCountFrequency (%)
055-974-0676 2
 
5.3%
055-973-7582 2
 
5.3%
055-973-5730 1
 
2.6%
055-983-1000 1
 
2.6%
055-972-2626 1
 
2.6%
055-974-2888 1
 
2.6%
055-974-1025 1
 
2.6%
055-974-1075 1
 
2.6%
055-973-4986 1
 
2.6%
055-973-1112 1
 
2.6%
Other values (26) 26
68.4%
2023-12-11T09:19:41.611027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 92
20.2%
- 76
16.7%
0 62
13.6%
7 58
12.7%
9 53
11.6%
2 28
 
6.1%
3 27
 
5.9%
1 18
 
3.9%
4 17
 
3.7%
8 14
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 92
24.2%
0 62
16.3%
7 58
15.3%
9 53
13.9%
2 28
 
7.4%
3 27
 
7.1%
1 18
 
4.7%
4 17
 
4.5%
8 14
 
3.7%
6 11
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 92
20.2%
- 76
16.7%
0 62
13.6%
7 58
12.7%
9 53
11.6%
2 28
 
6.1%
3 27
 
5.9%
1 18
 
3.9%
4 17
 
3.7%
8 14
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 92
20.2%
- 76
16.7%
0 62
13.6%
7 58
12.7%
9 53
11.6%
2 28
 
6.1%
3 27
 
5.9%
1 18
 
3.9%
4 17
 
3.7%
8 14
 
3.1%

팩스번호
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing4
Missing (%)10.5%
Memory size436.0 B
2023-12-11T09:19:41.829646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.147059
Min length12

Characters and Unicode

Total characters413
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

Unique32 ?
Unique (%)94.1%

Sample

1st row055-983-1005
2nd row055-974-0016
3rd row055-972-8078
4th row055-973-8926
5th row055-973-1856
ValueCountFrequency (%)
0504-053-0676 2
 
5.9%
055-974-2777 1
 
2.9%
055-983-1005 1
 
2.9%
055-973-9112 1
 
2.9%
055-974-1026 1
 
2.9%
055-974-1075 1
 
2.9%
055-973-4957 1
 
2.9%
055-973-5735 1
 
2.9%
055-972-2627 1
 
2.9%
055-974-5201 1
 
2.9%
Other values (23) 23
67.6%
2023-12-11T09:19:42.209412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 83
20.1%
- 68
16.5%
0 60
14.5%
7 53
12.8%
9 43
10.4%
3 26
 
6.3%
2 21
 
5.1%
4 19
 
4.6%
1 15
 
3.6%
8 13
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 345
83.5%
Dash Punctuation 68
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 83
24.1%
0 60
17.4%
7 53
15.4%
9 43
12.5%
3 26
 
7.5%
2 21
 
6.1%
4 19
 
5.5%
1 15
 
4.3%
8 13
 
3.8%
6 12
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 413
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 83
20.1%
- 68
16.5%
0 60
14.5%
7 53
12.8%
9 43
10.4%
3 26
 
6.3%
2 21
 
5.1%
4 19
 
4.6%
1 15
 
3.6%
8 13
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 413
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 83
20.1%
- 68
16.5%
0 60
14.5%
7 53
12.8%
9 43
10.4%
3 26
 
6.3%
2 21
 
5.1%
4 19
 
4.6%
1 15
 
3.6%
8 13
 
3.1%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
경상남도 산청군 보건의료원 보건정책과
38 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 산청군 보건의료원 보건정책과
2nd row경상남도 산청군 보건의료원 보건정책과
3rd row경상남도 산청군 보건의료원 보건정책과
4th row경상남도 산청군 보건의료원 보건정책과
5th row경상남도 산청군 보건의료원 보건정책과

Common Values

ValueCountFrequency (%)
경상남도 산청군 보건의료원 보건정책과 38
100.0%

Length

2023-12-11T09:19:42.357333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:42.457297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 38
25.0%
산청군 38
25.0%
보건의료원 38
25.0%
보건정책과 38
25.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2023-12-11T09:19:42.535171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:19:42.629210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T09:19:42.706811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업소명소재지대표자전화번호팩스번호
구분1.0000.9320.9320.9320.9831.000
업소명0.9321.0001.0001.0001.0001.000
소재지0.9321.0001.0001.0001.0001.000
대표자0.9321.0001.0001.0001.0001.000
전화번호0.9831.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T09:19:39.015323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:19:39.133555image/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

구분업소명소재지대표자전화번호팩스번호담당부서데이터기준일자
0요양병원산청요양병원경상남도 산청군 금서면 친환경로 2605번길 69정영숙055-983-1000055-983-1005경상남도 산청군 보건의료원 보건정책과2023-05-31
1의원신세계의원경상남도 산청군 단성면 목화로968번길 17이주봉055-972-0012055-974-0016경상남도 산청군 보건의료원 보건정책과2023-05-31
2의원제생의원경상남도 산청군 산청읍 웅석봉로 10정종태055-973-2079055-972-8078경상남도 산청군 보건의료원 보건정책과2023-05-31
3의원윤의원경상남도 산청군 시천면 남명로 205윤기완055-973-6096<NA>경상남도 산청군 보건의료원 보건정책과2023-05-31
4의원청송의원경상남도 산청군 산청읍 웅석봉로 18이남규055-973-5422055-973-8926경상남도 산청군 보건의료원 보건정책과2023-05-31
5의원덕산가정의학과의원경상남도 산청군 시천면 남명로 199나병화055-972-9318055-973-1856경상남도 산청군 보건의료원 보건정책과2023-05-31
6의원황도영의원경상남도 산청군 신안면 원지로 17황도영055-972-7535055-972-7525경상남도 산청군 보건의료원 보건정책과2023-05-31
7의원밝은서울안과의원경상남도 산청군 산청읍 웅석봉로 6김휘언055-973-9937055-973-9938경상남도 산청군 보건의료원 보건정책과2023-05-31
8의원서울의원경상남도 산청군 산청읍 중앙로 19한태영055-973-3828055-973-3920경상남도 산청군 보건의료원 보건정책과2023-05-31
9의원한마음의원경상남도 산청군 산청읍 덕계로 21오창석055-974-0975055-974-0973경상남도 산청군 보건의료원 보건정책과2023-05-31
구분업소명소재지대표자전화번호팩스번호담당부서데이터기준일자
28한의원생초한의원경상남도 산청군 생초면 생초로 64이영민055-973-9782055-973-9783경상남도 산청군 보건의료원 보건정책과2023-05-31
29한의원풀향기한의원경상남도 산청군 시천면 덕산대포로 20최정선055-974-5200055-974-5201경상남도 산청군 보건의료원 보건정책과2023-05-31
30한의원동의보감한의원경상남도 산청군 금서면 동의보감로555번길 45-25김종권055-972-9799055-972-9711경상남도 산청군 보건의료원 보건정책과2023-05-31
31한의원본디올한의원경상남도 산청군 금서면 동의보감로479번길 8권홍로055-974-1047055-974-1049경상남도 산청군 보건의료원 보건정책과2023-05-31
32한의원삼성당한의원경상남도 산청군 단성면 목화로 1002안형진055-972-0302055-972-3804경상남도 산청군 보건의료원 보건정책과2023-05-31
33한의원지선한의원경상남도 산청군 금서면 동의보감로479번길 53, 3층이동현055-973-75100303-3445-5801경상남도 산청군 보건의료원 보건정책과2023-05-31
34한의원다함한의원경상남도 산청군 단성면 지리산대로2919번길 7-17박진우055-974-06760504-053-0676경상남도 산청군 보건의료원 보건정책과2023-05-31
35한의원지리산다함한의원경상남도 산청군 시천면 남명로101번길 105, 1층김주안055-974-06760504-053-0676경상남도 산청군 보건의료원 보건정책과2023-05-31
36한의원메디스트림 한의원경상남도 산청군 금서면 친환경로2605번길 5-4, 2층정희범055-974-1224055-974-5003경상남도 산청군 보건의료원 보건정책과2023-05-31
37한의원우리들의원.한의원경상남도 산청군 신안면 원지로4번길 2, 1층김형엽055-973-7582<NA>경상남도 산청군 보건의료원 보건정책과2023-05-31