Overview

Dataset statistics

Number of variables4
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory33.9 B

Variable types

Text3
Categorical1

Dataset

Description함안군에 등록된 병원의 종류별 개소 의료기관 명칭, 주소, 전화번호
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3066733

Alerts

의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:45:54.544820
Analysis finished2023-12-10 22:45:54.891780
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-11T07:45:55.038462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.7042254
Min length3

Characters and Unicode

Total characters476
Distinct characters125
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

Unique71 ?
Unique (%)100.0%

Sample

1st row시영의료재단 영동병원
2nd row우리병원
3rd row의료법인 학산의료재단 아라한국병원
4th row의료법인 시영의료재단 함안요양병원
5th row유천의료재단새롬재활요양병원
ValueCountFrequency (%)
시영의료재단 2
 
2.6%
의료법인 2
 
2.6%
오치과의원 1
 
1.3%
아라치과의원 1
 
1.3%
상아치과의원 1
 
1.3%
함안치과의원 1
 
1.3%
조은치과의원 1
 
1.3%
연세미치과의원 1
 
1.3%
고운미소치과의원 1
 
1.3%
서울치과의원 1
 
1.3%
Other values (65) 65
84.4%
2023-12-11T07:45:55.378633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 58
 
12.2%
원 56
 
11.8%
과 21
 
4.4%
소 17
 
3.6%
보 17
 
3.6%
건 16
 
3.4%
료 15
 
3.2%
치 15
 
3.2%
한 15
 
3.2%
함 10
 
2.1%
Other values (115) 236
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
98.3%
Space Separator 6
 
1.3%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 58
 
12.4%
원 56
 
12.0%
과 21
 
4.5%
소 17
 
3.6%
보 17
 
3.6%
건 16
 
3.4%
료 15
 
3.2%
치 15
 
3.2%
한 15
 
3.2%
함 10
 
2.1%
Other values (112) 228
48.7%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
7 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
98.3%
Common 8
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 58
 
12.4%
원 56
 
12.0%
과 21
 
4.5%
소 17
 
3.6%
보 17
 
3.6%
건 16
 
3.4%
료 15
 
3.2%
치 15
 
3.2%
한 15
 
3.2%
함 10
 
2.1%
Other values (112) 228
48.7%
Common
ValueCountFrequency (%)
6
75.0%
9 1
 
12.5%
7 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
98.3%
ASCII 8
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 58
 
12.4%
원 56
 
12.0%
과 21
 
4.5%
소 17
 
3.6%
보 17
 
3.6%
건 16
 
3.4%
료 15
 
3.2%
치 15
 
3.2%
한 15
 
3.2%
함 10
 
2.1%
Other values (112) 228
48.7%
ASCII
ValueCountFrequency (%)
6
75.0%
9 1
 
12.5%
7 1
 
12.5%

의료기관종별
Categorical

Distinct8
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size700.0 B
의원
23 
치과의원
15 
한의원
12 
보건진료소
9 
보건지소
6 
Other values (3)
6 

Length

Max length6
Median length5
Mean length3.2676056
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row병원
2nd row병원
3rd row병원
4th row일반요양병원
5th row일반요양병원

Common Values

ValueCountFrequency (%)
의원 23
32.4%
치과의원 15
21.1%
한의원 12
16.9%
보건진료소 9
 
12.7%
보건지소 6
 
8.5%
병원 3
 
4.2%
일반요양병원 2
 
2.8%
보건소 1
 
1.4%

Length

2023-12-11T07:45:55.518777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:45:55.626779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 23
32.4%
치과의원 15
21.1%
한의원 12
16.9%
보건진료소 9
 
12.7%
보건지소 6
 
8.5%
병원 3
 
4.2%
일반요양병원 2
 
2.8%
보건소 1
 
1.4%

의료기관주소(도로명)
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-11T07:45:55.877034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.267606
Min length18

Characters and Unicode

Total characters1723
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)97.2%

Sample

1st row경상남도 함안군 칠원읍 용산2길 45-13
2nd row경상남도 함안군 칠서면 삼칠로 1213
3rd row경상남도 함안군 산인면 학산2길 17-50
4th row경상남도 함안군 칠원읍 용산2길 45-13, 4층
5th row경상남도 함안군 칠원읍 예곡1길 13
ValueCountFrequency (%)
경상남도 71
17.9%
함안군 71
17.9%
가야읍 29
 
7.3%
칠원읍 14
 
3.5%
함마대로 12
 
3.0%
2층 10
 
2.5%
군북면 8
 
2.0%
가야로 8
 
2.0%
대산면 7
 
1.8%
1636-16 5
 
1.3%
Other values (114) 162
40.8%
2023-12-11T07:45:56.242979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
18.9%
함 92
 
5.3%
안 80
 
4.6%
군 79
 
4.6%
남 78
 
4.5%
경 75
 
4.4%
도 71
 
4.1%
상 71
 
4.1%
1 53
 
3.1%
2 50
 
2.9%
Other values (96) 748
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1060
61.5%
Space Separator 326
 
18.9%
Decimal Number 263
 
15.3%
Other Punctuation 27
 
1.6%
Dash Punctuation 17
 
1.0%
Open Punctuation 14
 
0.8%
Close Punctuation 14
 
0.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 92
 
8.7%
안 80
 
7.5%
군 79
 
7.5%
남 78
 
7.4%
경 75
 
7.1%
도 71
 
6.7%
상 71
 
6.7%
읍 43
 
4.1%
가 40
 
3.8%
야 40
 
3.8%
Other values (78) 391
36.9%
Decimal Number
ValueCountFrequency (%)
1 53
20.2%
2 50
19.0%
3 38
14.4%
6 31
11.8%
4 25
9.5%
0 23
8.7%
5 14
 
5.3%
7 12
 
4.6%
8 10
 
3.8%
9 7
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
. 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1060
61.5%
Common 661
38.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 92
 
8.7%
안 80
 
7.5%
군 79
 
7.5%
남 78
 
7.4%
경 75
 
7.1%
도 71
 
6.7%
상 71
 
6.7%
읍 43
 
4.1%
가 40
 
3.8%
야 40
 
3.8%
Other values (78) 391
36.9%
Common
ValueCountFrequency (%)
326
49.3%
1 53
 
8.0%
2 50
 
7.6%
3 38
 
5.7%
6 31
 
4.7%
, 26
 
3.9%
4 25
 
3.8%
0 23
 
3.5%
- 17
 
2.6%
( 14
 
2.1%
Other values (6) 58
 
8.8%
Latin
ValueCountFrequency (%)
D 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1060
61.5%
ASCII 663
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
49.2%
1 53
 
8.0%
2 50
 
7.5%
3 38
 
5.7%
6 31
 
4.7%
, 26
 
3.9%
4 25
 
3.8%
0 23
 
3.5%
- 17
 
2.6%
( 14
 
2.1%
Other values (8) 60
 
9.0%
Hangul
ValueCountFrequency (%)
함 92
 
8.7%
안 80
 
7.5%
군 79
 
7.5%
남 78
 
7.4%
경 75
 
7.1%
도 71
 
6.7%
상 71
 
6.7%
읍 43
 
4.1%
가 40
 
3.8%
야 40
 
3.8%
Other values (78) 391
36.9%

의료기관전화번호
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-11T07:45:56.458777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters852
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

Unique71 ?
Unique (%)100.0%

Sample

1st row055-586-2000
2nd row055-589-9800
3rd row055-582-8088
4th row055-586-5009
5th row055-580-5800
ValueCountFrequency (%)
055-586-2000 1
 
1.4%
055-583-2724 1
 
1.4%
055-583-1390 1
 
1.4%
055-585-2875 1
 
1.4%
055-584-2888 1
 
1.4%
055-586-2874 1
 
1.4%
055-586-2875 1
 
1.4%
055-586-5875 1
 
1.4%
055-587-2875 1
 
1.4%
055-583-1929 1
 
1.4%
Other values (61) 61
85.9%
2023-12-11T07:45:56.797901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 268
31.5%
- 142
16.7%
0 123
14.4%
8 113
13.3%
2 49
 
5.8%
7 43
 
5.0%
3 37
 
4.3%
1 25
 
2.9%
9 19
 
2.2%
6 17
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
83.3%
Dash Punctuation 142
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 268
37.7%
0 123
17.3%
8 113
15.9%
2 49
 
6.9%
7 43
 
6.1%
3 37
 
5.2%
1 25
 
3.5%
9 19
 
2.7%
6 17
 
2.4%
4 16
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 268
31.5%
- 142
16.7%
0 123
14.4%
8 113
13.3%
2 49
 
5.8%
7 43
 
5.0%
3 37
 
4.3%
1 25
 
2.9%
9 19
 
2.2%
6 17
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 268
31.5%
- 142
16.7%
0 123
14.4%
8 113
13.3%
2 49
 
5.8%
7 43
 
5.0%
3 37
 
4.3%
1 25
 
2.9%
9 19
 
2.2%
6 17
 
2.0%

Correlations

2023-12-11T07:45:56.879246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
의료기관명1.0001.0001.0001.000
의료기관종별1.0001.0000.9801.000
의료기관주소(도로명)1.0000.9801.0001.000
의료기관전화번호1.0001.0001.0001.000

Missing values

2023-12-11T07:45:54.795652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:45:54.865874image/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

의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
0시영의료재단 영동병원병원경상남도 함안군 칠원읍 용산2길 45-13055-586-2000
1우리병원병원경상남도 함안군 칠서면 삼칠로 1213055-589-9800
2의료법인 학산의료재단 아라한국병원병원경상남도 함안군 산인면 학산2길 17-50055-582-8088
3의료법인 시영의료재단 함안요양병원일반요양병원경상남도 함안군 칠원읍 용산2길 45-13, 4층055-586-5009
4유천의료재단새롬재활요양병원일반요양병원경상남도 함안군 칠원읍 예곡1길 13055-580-5800
5함안군보건소보건소경상남도 함안군 가야읍 중앙남4길 10055-583-4000
6함안면보건지소보건지소경상남도 함안군 함안면 성산로 4055-580-3231
7법수면보건지소보건지소경상남도 함안군 법수면 문화마을1길 26055-580-3233
8대산면보건지소보건지소경상남도 함안군 대산면 대산중앙로 176055-580-3234
9칠북면보건지소보건지소경상남도 함안군 칠북면 단내로 8055-580-3235
의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
61본가한의원한의원경상남도 함안군 대산면 대산중앙로 224055-583-1075
62조아라한의원한의원경상남도 함안군 칠원읍 호암길 22, 3층 306호 (더노블리지)055-586-1075
63심한의원한의원경상남도 함안군 가야읍 함안대로 574, 2층055-585-7030
64고한의원한의원경상남도 함안군 칠원읍 구성길 28055-587-7898
65황제한의원한의원경상남도 함안군 가야읍 함마대로 1636-16055-585-8838
66칠원 우리한의원한의원경상남도 함안군 칠원읍 원서로 9055-587-5855
67대산한의원한의원경상남도 함안군 대산면 대산중앙로 213-1055-582-4752
68제중당한의원한의원경상남도 함안군 군북면 함마대로 817055-585-3077
69함안영남한의원한의원경상남도 함안군 가야읍 가야9길 14055-583-5352
70재덕한의원한의원경상남도 함안군 칠원읍 용산2길 12055-587-8500