Overview

Dataset statistics

Number of variables7
Number of observations35
Missing cells2
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory59.8 B

Variable types

Categorical2
Text5

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

데이터기준일자 has constant value ""Constant
팩스번호 has 2 (5.7%) missing valuesMissing
업소명 has unique valuesUnique
대표자 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:19:43.820422
Analysis finished2023-12-11 00:19:44.258788
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
한의원
15 
의원
13 
치과의원
6 
요양병원
 
1

Length

Max length4
Median length3
Mean length2.8285714
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
한의원 15
42.9%
의원 13
37.1%
치과의원 6
 
17.1%
요양병원 1
 
2.9%

Length

2023-12-11T09:19:44.337906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:44.464953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 15
42.9%
의원 13
37.1%
치과의원 6
 
17.1%
요양병원 1
 
2.9%

업소명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:19:44.667400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.8
Min length3

Characters and Unicode

Total characters203
Distinct characters72
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

Unique35 ?
Unique (%)100.0%

Sample

1st row산청요양병원
2nd row제생의원
3rd row서울의원
4th row청송의원
5th row한마음의원
ValueCountFrequency (%)
산청요양병원 1
 
2.9%
손치과의원 1
 
2.9%
산청매화한의원 1
 
2.9%
경희우리한의원 1
 
2.9%
한보당한의원 1
 
2.9%
덕산한의원 1
 
2.9%
원광한의원 1
 
2.9%
청담한의원 1
 
2.9%
참미소치과의원 1
 
2.9%
본디올한의원 1
 
2.9%
Other values (25) 25
71.4%
2023-12-11T09:19:44.990164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 37
18.2%
원 36
17.7%
한 18
 
8.9%
과 9
 
4.4%
산 7
 
3.4%
치 6
 
3.0%
청 5
 
2.5%
리 3
 
1.5%
덕 3
 
1.5%
신 3
 
1.5%
Other values (62) 76
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
99.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 37
18.3%
원 36
17.8%
한 18
 
8.9%
과 9
 
4.5%
산 7
 
3.5%
치 6
 
3.0%
청 5
 
2.5%
리 3
 
1.5%
덕 3
 
1.5%
신 3
 
1.5%
Other values (61) 75
37.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 37
18.3%
원 36
17.8%
한 18
 
8.9%
과 9
 
4.5%
산 7
 
3.5%
치 6
 
3.0%
청 5
 
2.5%
리 3
 
1.5%
덕 3
 
1.5%
신 3
 
1.5%
Other values (61) 75
37.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 37
18.3%
원 36
17.8%
한 18
 
8.9%
과 9
 
4.5%
산 7
 
3.5%
치 6
 
3.0%
청 5
 
2.5%
리 3
 
1.5%
덕 3
 
1.5%
신 3
 
1.5%
Other values (61) 75
37.1%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:19:45.229169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length22.685714
Min length19

Characters and Unicode

Total characters794
Distinct characters69
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

Unique33 ?
Unique (%)94.3%

Sample

1st row경상남도 산청군 금서면 친환경로 2605번길69
2nd row경상남도 산청군 산청읍 웅석봉로 10
3rd row경상남도 산청군 산청읍 중앙로 19
4th row경상남도 산청군 산청읍 웅석봉로 18
5th row경상남도 산청군 산청읍 덕계로 21
ValueCountFrequency (%)
경상남도 35
19.0%
산청군 35
19.0%
산청읍 12
 
6.5%
신안면 7
 
3.8%
시천면 6
 
3.3%
금서면 5
 
2.7%
웅석봉로 4
 
2.2%
원지로 4
 
2.2%
17 4
 
2.2%
중앙로 4
 
2.2%
Other values (55) 68
37.0%
2023-12-11T09:19:45.660250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
18.8%
산 53
 
6.7%
청 48
 
6.0%
남 40
 
5.0%
경 37
 
4.7%
상 35
 
4.4%
도 35
 
4.4%
군 35
 
4.4%
로 34
 
4.3%
1 24
 
3.0%
Other values (59) 304
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 512
64.5%
Space Separator 149
 
18.8%
Decimal Number 119
 
15.0%
Dash Punctuation 7
 
0.9%
Other Punctuation 3
 
0.4%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 53
 
10.4%
청 48
 
9.4%
남 40
 
7.8%
경 37
 
7.2%
상 35
 
6.8%
도 35
 
6.8%
군 35
 
6.8%
로 34
 
6.6%
면 23
 
4.5%
읍 12
 
2.3%
Other values (44) 160
31.2%
Decimal Number
ValueCountFrequency (%)
1 24
20.2%
2 18
15.1%
5 14
11.8%
9 12
10.1%
0 12
10.1%
7 11
9.2%
4 9
 
7.6%
3 7
 
5.9%
6 7
 
5.9%
8 5
 
4.2%
Space Separator
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 512
64.5%
Common 282
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 53
 
10.4%
청 48
 
9.4%
남 40
 
7.8%
경 37
 
7.2%
상 35
 
6.8%
도 35
 
6.8%
군 35
 
6.8%
로 34
 
6.6%
면 23
 
4.5%
읍 12
 
2.3%
Other values (44) 160
31.2%
Common
ValueCountFrequency (%)
149
52.8%
1 24
 
8.5%
2 18
 
6.4%
5 14
 
5.0%
9 12
 
4.3%
0 12
 
4.3%
7 11
 
3.9%
4 9
 
3.2%
3 7
 
2.5%
6 7
 
2.5%
Other values (5) 19
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 512
64.5%
ASCII 282
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
52.8%
1 24
 
8.5%
2 18
 
6.4%
5 14
 
5.0%
9 12
 
4.3%
0 12
 
4.3%
7 11
 
3.9%
4 9
 
3.2%
3 7
 
2.5%
6 7
 
2.5%
Other values (5) 19
 
6.7%
Hangul
ValueCountFrequency (%)
산 53
 
10.4%
청 48
 
9.4%
남 40
 
7.8%
경 37
 
7.2%
상 35
 
6.8%
도 35
 
6.8%
군 35
 
6.8%
로 34
 
6.6%
면 23
 
4.5%
읍 12
 
2.3%
Other values (44) 160
31.2%

대표자
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:19:45.881302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters105
Distinct characters59
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

Unique35 ?
Unique (%)100.0%

Sample

1st row정영숙
2nd row정종태
3rd row한태영
4th row이남규
5th row오창석
ValueCountFrequency (%)
정영숙 1
 
2.9%
손기모 1
 
2.9%
서보견 1
 
2.9%
김현정 1
 
2.9%
김동수 1
 
2.9%
전동민 1
 
2.9%
장재호 1
 
2.9%
김명철 1
 
2.9%
강호민 1
 
2.9%
권홍로 1
 
2.9%
Other values (25) 25
71.4%
2023-12-11T09:19:46.227110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
6.7%
정 6
 
5.7%
이 6
 
5.7%
영 5
 
4.8%
동 5
 
4.8%
현 4
 
3.8%
민 3
 
2.9%
재 3
 
2.9%
기 2
 
1.9%
우 2
 
1.9%
Other values (49) 62
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
6.7%
정 6
 
5.7%
이 6
 
5.7%
영 5
 
4.8%
동 5
 
4.8%
현 4
 
3.8%
민 3
 
2.9%
재 3
 
2.9%
기 2
 
1.9%
우 2
 
1.9%
Other values (49) 62
59.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
6.7%
정 6
 
5.7%
이 6
 
5.7%
영 5
 
4.8%
동 5
 
4.8%
현 4
 
3.8%
민 3
 
2.9%
재 3
 
2.9%
기 2
 
1.9%
우 2
 
1.9%
Other values (49) 62
59.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
6.7%
정 6
 
5.7%
이 6
 
5.7%
영 5
 
4.8%
동 5
 
4.8%
현 4
 
3.8%
민 3
 
2.9%
재 3
 
2.9%
기 2
 
1.9%
우 2
 
1.9%
Other values (49) 62
59.0%

전화번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:19:46.439672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
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

Unique35 ?
Unique (%)100.0%

Sample

1st row055-983-1000
2nd row055-973-2079
3rd row055-973-3828
4th row055-973-5422
5th row055-974-0975
ValueCountFrequency (%)
055-983-1000 1
 
2.9%
055-973-1391 1
 
2.9%
055-973-4986 1
 
2.9%
055-972-2626 1
 
2.9%
055-973-5730 1
 
2.9%
055-974-1075 1
 
2.9%
055-974-1025 1
 
2.9%
055-973-1112 1
 
2.9%
055-974-2888 1
 
2.9%
055-974-1047 1
 
2.9%
Other values (25) 25
71.4%
2023-12-11T09:19:46.773967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 81
19.3%
- 70
16.7%
0 59
14.0%
7 52
12.4%
9 48
11.4%
2 26
 
6.2%
3 24
 
5.7%
1 18
 
4.3%
4 18
 
4.3%
8 12
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 81
23.1%
0 59
16.9%
7 52
14.9%
9 48
13.7%
2 26
 
7.4%
3 24
 
6.9%
1 18
 
5.1%
4 18
 
5.1%
8 12
 
3.4%
6 12
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 81
19.3%
- 70
16.7%
0 59
14.0%
7 52
12.4%
9 48
11.4%
2 26
 
6.2%
3 24
 
5.7%
1 18
 
4.3%
4 18
 
4.3%
8 12
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 81
19.3%
- 70
16.7%
0 59
14.0%
7 52
12.4%
9 48
11.4%
2 26
 
6.2%
3 24
 
5.7%
1 18
 
4.3%
4 18
 
4.3%
8 12
 
2.9%

팩스번호
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing2
Missing (%)5.7%
Memory size412.0 B
2023-12-11T09:19:47.019557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.151515
Min length12

Characters and Unicode

Total characters401
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

Unique33 ?
Unique (%)100.0%

Sample

1st row055-983-1005
2nd row055-972-8078
3rd row055-973-3920
4th row055-973-8926
5th row0504-401-5118
ValueCountFrequency (%)
055-972-2586 1
 
3.0%
055-974-2777 1
 
3.0%
055-974-1049 1
 
3.0%
055-973-4957 1
 
3.0%
055-972-2627 1
 
3.0%
055-973-5735 1
 
3.0%
055-974-1075 1
 
3.0%
055-974-1026 1
 
3.0%
055-973-9112 1
 
3.0%
055-973-9783 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T09:19:47.419878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 81
20.2%
- 66
16.5%
0 57
14.2%
7 50
12.5%
9 41
10.2%
3 24
 
6.0%
2 21
 
5.2%
4 19
 
4.7%
1 18
 
4.5%
8 14
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 335
83.5%
Dash Punctuation 66
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 81
24.2%
0 57
17.0%
7 50
14.9%
9 41
12.2%
3 24
 
7.2%
2 21
 
6.3%
4 19
 
5.7%
1 18
 
5.4%
8 14
 
4.2%
6 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 401
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 81
20.2%
- 66
16.5%
0 57
14.2%
7 50
12.5%
9 41
10.2%
3 24
 
6.0%
2 21
 
5.2%
4 19
 
4.7%
1 18
 
4.5%
8 14
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 81
20.2%
- 66
16.5%
0 57
14.2%
7 50
12.5%
9 41
10.2%
3 24
 
6.0%
2 21
 
5.2%
4 19
 
4.7%
1 18
 
4.5%
8 14
 
3.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2022-05-31
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-05-31
2nd row2022-05-31
3rd row2022-05-31
4th row2022-05-31
5th row2022-05-31

Common Values

ValueCountFrequency (%)
2022-05-31 35
100.0%

Length

2023-12-11T09:19:47.548956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:47.659023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-05-31 35
100.0%

Correlations

2023-12-11T09:19:47.734151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업소명소재지대표자전화번호팩스번호
구분1.0001.0000.7901.0001.0001.000
업소명1.0001.0001.0001.0001.0001.000
소재지0.7901.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T09:19:44.113041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:19:44.219922image/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

구분업소명소재지대표자전화번호팩스번호데이터기준일자
0요양병원산청요양병원경상남도 산청군 금서면 친환경로 2605번길69정영숙055-983-1000055-983-10052022-05-31
1의원제생의원경상남도 산청군 산청읍 웅석봉로 10정종태055-973-2079055-972-80782022-05-31
2의원서울의원경상남도 산청군 산청읍 중앙로 19한태영055-973-3828055-973-39202022-05-31
3의원청송의원경상남도 산청군 산청읍 웅석봉로 18이남규055-973-5422055-973-89262022-05-31
4의원한마음의원경상남도 산청군 산청읍 덕계로 21오창석055-974-09750504-401-51182022-05-31
5의원윤의원경상남도 산청군 시천면 남명로 205윤기완055-973-6096<NA>2022-05-31
6의원덕산가정의학과의원경상남도 산청군 시천면 남명로 199나병화055-972-9318055-973-18562022-05-31
7의원신세계의원경상남도 산청군 단성면 목화로 968번길 17이주봉055-972-0012055-974-00162022-05-31
8의원황도영의원경상남도 산청군 신안면 원지로 17황도영055-972-7535055-972-75252022-05-31
9의원밝은서울안과의원경상남도 산청군 산청읍 웅석봉로 6김휘언055-973-9937055-973-99382022-05-31
구분업소명소재지대표자전화번호팩스번호데이터기준일자
25한의원청담한의원경상남도 산청군 신안면 원지로 6-5김명철055-973-1112055-973-91122022-05-31
26한의원본디올한의원경상남도 산청군 금서면 동의보감로479번길 8권홍로055-974-1047055-974-10492022-05-31
27한의원생초한의원경상남도 산청군 생초면 생초로 64(어서리)이영민055-973-9782055-973-97832022-05-31
28한의원풀향기한의원경상남도 산청군 시천면 덕산대포로 20최정선055-974-5200055-974-52012022-05-31
29한의원동의보감한의원경상남도 산청군 금서면 동의보감로555번길 45-27김종권055-972-9799055-972-97112022-05-31
30한의원지선한의원경상남도 산청군 금서면 동의보감로 479번길 53 호텔별관 3층이동현055-973-75100303-3445-58012022-05-31
31한의원삼성당한의원경상남도 산청군 단성면 목화로 1002안형진055-972-0302055-972-38042022-05-31
32한의원지리산다함한의원경상남도 산청군 시천면 남명로 101번길 105,1층김주안054-674-06760504-053-06762022-05-31
33한의원다함한의원경상남도 산청군 단성면 지리산대로 2919번길7-17박진우055-974-0676<NA>2022-05-31
34한의원메디스트림한의원경상남도 산청군 금서면 친환경로 2605번길 5-4, 2층정희범055-974-1224055-974-50032022-05-31