Overview

Dataset statistics

Number of variables4
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory34.0 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 22:45:57.827302
Analysis finished2023-12-10 22:45:58.363611
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T07:45:58.497630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.4545455
Min length3

Characters and Unicode

Total characters426
Distinct characters120
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

Unique66 ?
Unique (%)100.0%

Sample

1st row시영의료재단 영동병원
2nd row우리병원
3rd row아라요양병원
4th row의료법인 시영의료재단 함안요양병원
5th row유천의료재단새롬재활요양병원
ValueCountFrequency (%)
시영의료재단 2
 
2.9%
오치과의원 1
 
1.4%
상아치과의원 1
 
1.4%
함안치과의원 1
 
1.4%
조은치과의원 1
 
1.4%
연세미치과의원 1
 
1.4%
고운미소치과의원 1
 
1.4%
함안굿스마일치과의원 1
 
1.4%
구자운의원 1
 
1.4%
명성마취통증의학과의원 1
 
1.4%
Other values (59) 59
84.3%
2023-12-11T07:45:58.801791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 52
 
12.2%
원 52
 
12.2%
과 19
 
4.5%
소 16
 
3.8%
보 16
 
3.8%
건 15
 
3.5%
한 14
 
3.3%
료 13
 
3.1%
치 12
 
2.8%
진 10
 
2.3%
Other values (110) 207
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 422
99.1%
Space Separator 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 52
 
12.3%
원 52
 
12.3%
과 19
 
4.5%
소 16
 
3.8%
보 16
 
3.8%
건 15
 
3.6%
한 14
 
3.3%
료 13
 
3.1%
치 12
 
2.8%
진 10
 
2.4%
Other values (109) 203
48.1%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 422
99.1%
Common 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 52
 
12.3%
원 52
 
12.3%
과 19
 
4.5%
소 16
 
3.8%
보 16
 
3.8%
건 15
 
3.6%
한 14
 
3.3%
료 13
 
3.1%
치 12
 
2.8%
진 10
 
2.4%
Other values (109) 203
48.1%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 422
99.1%
ASCII 4
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 52
 
12.3%
원 52
 
12.3%
과 19
 
4.5%
소 16
 
3.8%
보 16
 
3.8%
건 15
 
3.6%
한 14
 
3.3%
료 13
 
3.1%
치 12
 
2.8%
진 10
 
2.4%
Other values (109) 203
48.1%
ASCII
ValueCountFrequency (%)
4
100.0%

의료기관종별
Categorical

Distinct8
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
의원
21 
한의원
13 
치과의원
12 
보건진료소
9 
보건지소
5 
Other values (3)
6 

Length

Max length6
Median length5
Mean length3.3181818
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
의원 21
31.8%
한의원 13
19.7%
치과의원 12
18.2%
보건진료소 9
13.6%
보건지소 5
 
7.6%
일반요양병원 3
 
4.5%
병원 2
 
3.0%
보건소 1
 
1.5%

Length

2023-12-11T07:45:58.930018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:45:59.048814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 21
31.8%
한의원 13
19.7%
치과의원 12
18.2%
보건진료소 9
13.6%
보건지소 5
 
7.6%
일반요양병원 3
 
4.5%
병원 2
 
3.0%
보건소 1
 
1.5%

의료기관주소(도로명)
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T07:45:59.281464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.272727
Min length18

Characters and Unicode

Total characters1602
Distinct characters107
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

Unique64 ?
Unique (%)97.0%

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 66
17.9%
함안군 66
17.9%
가야읍 26
 
7.1%
칠원읍 14
 
3.8%
함마대로 8
 
2.2%
군북면 7
 
1.9%
대산면 7
 
1.9%
가야로 7
 
1.9%
2층 7
 
1.9%
대산중앙로 5
 
1.4%
Other values (109) 155
42.1%
2023-12-11T07:45:59.678425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302
18.9%
함 83
 
5.2%
안 75
 
4.7%
남 74
 
4.6%
군 73
 
4.6%
경 71
 
4.4%
도 66
 
4.1%
상 66
 
4.1%
1 54
 
3.4%
2 46
 
2.9%
Other values (97) 692
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 989
61.7%
Space Separator 302
 
18.9%
Decimal Number 241
 
15.0%
Other Punctuation 21
 
1.3%
Dash Punctuation 17
 
1.1%
Open Punctuation 15
 
0.9%
Close Punctuation 15
 
0.9%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 83
 
8.4%
안 75
 
7.6%
남 74
 
7.5%
군 73
 
7.4%
경 71
 
7.2%
도 66
 
6.7%
상 66
 
6.7%
읍 40
 
4.0%
야 36
 
3.6%
가 36
 
3.6%
Other values (80) 369
37.3%
Decimal Number
ValueCountFrequency (%)
1 54
22.4%
2 46
19.1%
3 36
14.9%
6 27
11.2%
0 22
9.1%
4 18
 
7.5%
5 13
 
5.4%
7 12
 
5.0%
8 9
 
3.7%
9 4
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
302
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 989
61.7%
Common 611
38.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 83
 
8.4%
안 75
 
7.6%
남 74
 
7.5%
군 73
 
7.4%
경 71
 
7.2%
도 66
 
6.7%
상 66
 
6.7%
읍 40
 
4.0%
야 36
 
3.6%
가 36
 
3.6%
Other values (80) 369
37.3%
Common
ValueCountFrequency (%)
302
49.4%
1 54
 
8.8%
2 46
 
7.5%
3 36
 
5.9%
6 27
 
4.4%
0 22
 
3.6%
, 21
 
3.4%
4 18
 
2.9%
- 17
 
2.8%
( 15
 
2.5%
Other values (5) 53
 
8.7%
Latin
ValueCountFrequency (%)
D 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 989
61.7%
ASCII 613
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
302
49.3%
1 54
 
8.8%
2 46
 
7.5%
3 36
 
5.9%
6 27
 
4.4%
0 22
 
3.6%
, 21
 
3.4%
4 18
 
2.9%
- 17
 
2.8%
( 15
 
2.4%
Other values (7) 55
 
9.0%
Hangul
ValueCountFrequency (%)
함 83
 
8.4%
안 75
 
7.6%
남 74
 
7.5%
군 73
 
7.4%
경 71
 
7.2%
도 66
 
6.7%
상 66
 
6.7%
읍 40
 
4.0%
야 36
 
3.6%
가 36
 
3.6%
Other values (80) 369
37.3%

의료기관전화번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T07:45:59.897040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters792
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

Unique66 ?
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
 
1.5%
055-583-1390 1
 
1.5%
055-583-5352 1
 
1.5%
055-583-1929 1
 
1.5%
055-587-7670 1
 
1.5%
055-582-7533 1
 
1.5%
055-587-9592 1
 
1.5%
055-582-9800 1
 
1.5%
055-585-5111 1
 
1.5%
055-587-2875 1
 
1.5%
Other values (56) 56
84.8%
2023-12-11T07:46:00.239821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 252
31.8%
- 132
16.7%
0 114
14.4%
8 102
12.9%
2 42
 
5.3%
7 41
 
5.2%
3 35
 
4.4%
1 25
 
3.2%
6 17
 
2.1%
4 16
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 252
38.2%
0 114
17.3%
8 102
15.5%
2 42
 
6.4%
7 41
 
6.2%
3 35
 
5.3%
1 25
 
3.8%
6 17
 
2.6%
4 16
 
2.4%
9 16
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 252
31.8%
- 132
16.7%
0 114
14.4%
8 102
12.9%
2 42
 
5.3%
7 41
 
5.2%
3 35
 
4.4%
1 25
 
3.2%
6 17
 
2.1%
4 16
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 252
31.8%
- 132
16.7%
0 114
14.4%
8 102
12.9%
2 42
 
5.3%
7 41
 
5.2%
3 35
 
4.4%
1 25
 
3.2%
6 17
 
2.1%
4 16
 
2.0%

Correlations

2023-12-11T07:46:00.324939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
의료기관명1.0001.0001.0001.000
의료기관종별1.0001.0000.9761.000
의료기관주소(도로명)1.0000.9761.0001.000
의료기관전화번호1.0001.0001.0001.000

Missing values

2023-12-11T07:45:58.273209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:45:58.337095image/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
2아라요양병원일반요양병원경상남도 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
56니나노한의원한의원경상남도 함안군 가야읍 말산1길 11 ((주)경남디지털넷)055-584-6467
57조아라한의원한의원경상남도 함안군 칠원읍 호암길 22, 3층 306호 (더노블리지)055-586-1075
58심한의원한의원경상남도 함안군 가야읍 함안대로 574, 2층055-585-7030
59고한의원한의원경상남도 함안군 칠원읍 구성길 28055-587-7898
60황제한의원한의원경상남도 함안군 가야읍 함마대로 1636-16055-585-8838
61칠원 우리한의원한의원경상남도 함안군 칠원읍 원서로 9055-587-5855
62대산한의원한의원경상남도 함안군 대산면 대산중앙로 213-1055-582-4752
63제중당한의원한의원경상남도 함안군 군북면 함마대로 817055-585-3077
64함안영남한의원한의원경상남도 함안군 가야읍 가야9길 14055-583-5352
65재덕한의원한의원경상남도 함안군 칠원읍 용산2길 12055-587-8500