Overview

Dataset statistics

Number of variables6
Number of observations61
Missing cells20
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory50.2 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description경상북도 영덕군에 위치한 의료기관 종별, 의료기관명, 전화번호, 주소 등 관련 데이터를 아래와 같이 제공하고자 합니다.
Author경상북도 영덕군
URLhttps://www.data.go.kr/data/15040141/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (3.3%) missing valuesMissing
의료기관지번주소 has 18 (29.5%) missing valuesMissing
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:32:25.937921
Analysis finished2023-12-12 15:32:26.823645
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
약국
20 
의원
18 
치과의원
한의원
소독업소

Length

Max length4
Median length2
Mean length2.6229508
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약국 20
32.8%
의원 18
29.5%
치과의원 9
14.8%
한의원 8
 
13.1%
소독업소 6
 
9.8%

Length

2023-12-13T00:32:26.947333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:32:27.128774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 20
32.8%
의원 18
29.5%
치과의원 9
14.8%
한의원 8
 
13.1%
소독업소 6
 
9.8%

의료기관명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T00:32:27.436723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length5.9836066
Min length3

Characters and Unicode

Total characters365
Distinct characters114
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

Unique61 ?
Unique (%)100.0%

Sample

1st row김수환내과의원
2nd row김연수신경외과의원
3rd row영해 선한 가정의학과의원
4th row경대이비인후과의원
5th row365행복한 연합의원
ValueCountFrequency (%)
김수환내과의원 1
 
1.5%
예주약국 1
 
1.5%
바다약국 1
 
1.5%
연합약국 1
 
1.5%
대승약국 1
 
1.5%
경북약국 1
 
1.5%
주약국 1
 
1.5%
영덕종합약국 1
 
1.5%
현대약국 1
 
1.5%
김연수신경외과의원 1
 
1.5%
Other values (58) 58
85.3%
2023-12-13T00:32:27.925966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
10.4%
35
 
9.6%
20
 
5.5%
20
 
5.5%
19
 
5.2%
13
 
3.6%
11
 
3.0%
9
 
2.5%
7
 
1.9%
6
 
1.6%
Other values (104) 187
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
96.2%
Space Separator 7
 
1.9%
Decimal Number 3
 
0.8%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
10.8%
35
 
10.0%
20
 
5.7%
20
 
5.7%
19
 
5.4%
13
 
3.7%
11
 
3.1%
9
 
2.6%
6
 
1.7%
6
 
1.7%
Other values (98) 174
49.6%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
96.2%
Common 14
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
10.8%
35
 
10.0%
20
 
5.7%
20
 
5.7%
19
 
5.4%
13
 
3.7%
11
 
3.1%
9
 
2.6%
6
 
1.7%
6
 
1.7%
Other values (98) 174
49.6%
Common
ValueCountFrequency (%)
7
50.0%
) 2
 
14.3%
( 2
 
14.3%
3 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
96.2%
ASCII 14
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
38
 
10.8%
35
 
10.0%
20
 
5.7%
20
 
5.7%
19
 
5.4%
13
 
3.7%
11
 
3.1%
9
 
2.6%
6
 
1.7%
6
 
1.7%
Other values (98) 174
49.6%
ASCII
ValueCountFrequency (%)
7
50.0%
) 2
 
14.3%
( 2
 
14.3%
3 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%

전화번호
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing2
Missing (%)3.3%
Memory size620.0 B
2023-12-13T00:32:28.218124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters708
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

Unique59 ?
Unique (%)100.0%

Sample

1st row054-733-6930
2nd row054-732-7600
3rd row054-733-7766
4th row054-733-1488
5th row054-733-7322
ValueCountFrequency (%)
054-733-6930 1
 
1.7%
054-733-7551 1
 
1.7%
054-734-4067 1
 
1.7%
054-734-2879 1
 
1.7%
054-734-2275 1
 
1.7%
054-734-8275 1
 
1.7%
054-733-0809 1
 
1.7%
054-733-9601 1
 
1.7%
054-734-5498 1
 
1.7%
054-733-7779 1
 
1.7%
Other values (49) 49
83.1%
2023-12-13T00:32:28.629584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 118
16.7%
3 105
14.8%
7 96
13.6%
0 95
13.4%
4 92
13.0%
5 88
12.4%
2 34
 
4.8%
8 26
 
3.7%
6 23
 
3.2%
9 17
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 590
83.3%
Dash Punctuation 118
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 105
17.8%
7 96
16.3%
0 95
16.1%
4 92
15.6%
5 88
14.9%
2 34
 
5.8%
8 26
 
4.4%
6 23
 
3.9%
9 17
 
2.9%
1 14
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 708
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 118
16.7%
3 105
14.8%
7 96
13.6%
0 95
13.4%
4 92
13.0%
5 88
12.4%
2 34
 
4.8%
8 26
 
3.7%
6 23
 
3.2%
9 17
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 118
16.7%
3 105
14.8%
7 96
13.6%
0 95
13.4%
4 92
13.0%
5 88
12.4%
2 34
 
4.8%
8 26
 
3.7%
6 23
 
3.2%
9 17
 
2.4%
Distinct38
Distinct (%)88.4%
Missing18
Missing (%)29.5%
Memory size620.0 B
2023-12-13T00:32:28.912240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length21.72093
Min length16

Characters and Unicode

Total characters934
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)79.1%

Sample

1st row경상북도 영덕군 영덕읍 남석리 69번지 30호
2nd row경상북도 영덕군 영덕읍 남석리 69-27
3rd row경상북도 영덕군 영덕읍 덕곡리 310번지 1호
4th row경상북도 영덕군 영덕읍 덕곡리 159-4
5th row경상북도 영덕군 영덕읍 덕곡리
ValueCountFrequency (%)
경상북도 43
19.5%
영덕군 43
19.5%
영덕읍 21
 
9.5%
남석리 13
 
5.9%
강구면 12
 
5.5%
덕곡리 7
 
3.2%
영해면 7
 
3.2%
성내리 6
 
2.7%
강구리 6
 
2.7%
오포리 4
 
1.8%
Other values (48) 58
26.4%
2023-12-13T00:32:29.346868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
19.0%
71
 
7.6%
71
 
7.6%
43
 
4.6%
43
 
4.6%
43
 
4.6%
43
 
4.6%
43
 
4.6%
42
 
4.5%
- 27
 
2.9%
Other values (34) 331
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 587
62.8%
Space Separator 177
 
19.0%
Decimal Number 143
 
15.3%
Dash Punctuation 27
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
12.1%
71
12.1%
43
 
7.3%
43
 
7.3%
43
 
7.3%
43
 
7.3%
43
 
7.3%
42
 
7.2%
22
 
3.7%
21
 
3.6%
Other values (22) 145
24.7%
Decimal Number
ValueCountFrequency (%)
1 24
16.8%
3 21
14.7%
9 20
14.0%
6 18
12.6%
4 18
12.6%
8 9
 
6.3%
2 9
 
6.3%
7 9
 
6.3%
5 8
 
5.6%
0 7
 
4.9%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 587
62.8%
Common 347
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
12.1%
71
12.1%
43
 
7.3%
43
 
7.3%
43
 
7.3%
43
 
7.3%
43
 
7.3%
42
 
7.2%
22
 
3.7%
21
 
3.6%
Other values (22) 145
24.7%
Common
ValueCountFrequency (%)
177
51.0%
- 27
 
7.8%
1 24
 
6.9%
3 21
 
6.1%
9 20
 
5.8%
6 18
 
5.2%
4 18
 
5.2%
8 9
 
2.6%
2 9
 
2.6%
7 9
 
2.6%
Other values (2) 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 587
62.8%
ASCII 347
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
51.0%
- 27
 
7.8%
1 24
 
6.9%
3 21
 
6.1%
9 20
 
5.8%
6 18
 
5.2%
4 18
 
5.2%
8 9
 
2.6%
2 9
 
2.6%
7 9
 
2.6%
Other values (2) 15
 
4.3%
Hangul
ValueCountFrequency (%)
71
12.1%
71
12.1%
43
 
7.3%
43
 
7.3%
43
 
7.3%
43
 
7.3%
43
 
7.3%
42
 
7.2%
22
 
3.7%
21
 
3.6%
Other values (22) 145
24.7%
Distinct49
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T00:32:29.608221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length21.754098
Min length19

Characters and Unicode

Total characters1327
Distinct characters60
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

Unique38 ?
Unique (%)62.3%

Sample

1st row경상북도 영덕군 영덕읍 중앙길 106
2nd row경상북도 영덕군 영해면 예주시장길 10
3rd row경상북도 영덕군 영해면 예주시장6길 4-10
4th row경상북도 영덕군 영덕읍 중앙길 107
5th row경상북도 영덕군 영덕읍 덕곡길 118 (경상북도 영덕교육청)
ValueCountFrequency (%)
경상북도 62
19.9%
영덕군 61
19.6%
영덕읍 25
 
8.0%
영해면 17
 
5.5%
강구면 16
 
5.1%
중앙길 15
 
4.8%
예주시장길 11
 
3.5%
덕곡길 8
 
2.6%
영덕대게로 6
 
1.9%
동해대로 5
 
1.6%
Other values (63) 85
27.3%
2023-12-13T00:32:29.965537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
18.8%
113
 
8.5%
102
 
7.7%
63
 
4.7%
62
 
4.7%
62
 
4.7%
62
 
4.7%
61
 
4.6%
1 56
 
4.2%
48
 
3.6%
Other values (50) 448
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 872
65.7%
Space Separator 250
 
18.8%
Decimal Number 180
 
13.6%
Dash Punctuation 17
 
1.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
113
13.0%
102
11.7%
63
 
7.2%
62
 
7.1%
62
 
7.1%
62
 
7.1%
61
 
7.0%
48
 
5.5%
36
 
4.1%
25
 
2.9%
Other values (35) 238
27.3%
Decimal Number
ValueCountFrequency (%)
1 56
31.1%
4 26
14.4%
0 23
12.8%
7 15
 
8.3%
6 15
 
8.3%
9 13
 
7.2%
3 11
 
6.1%
2 8
 
4.4%
8 7
 
3.9%
5 6
 
3.3%
Space Separator
ValueCountFrequency (%)
250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 872
65.7%
Common 455
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
113
13.0%
102
11.7%
63
 
7.2%
62
 
7.1%
62
 
7.1%
62
 
7.1%
61
 
7.0%
48
 
5.5%
36
 
4.1%
25
 
2.9%
Other values (35) 238
27.3%
Common
ValueCountFrequency (%)
250
54.9%
1 56
 
12.3%
4 26
 
5.7%
0 23
 
5.1%
- 17
 
3.7%
7 15
 
3.3%
6 15
 
3.3%
9 13
 
2.9%
3 11
 
2.4%
2 8
 
1.8%
Other values (5) 21
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 872
65.7%
ASCII 455
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
54.9%
1 56
 
12.3%
4 26
 
5.7%
0 23
 
5.1%
- 17
 
3.7%
7 15
 
3.3%
6 15
 
3.3%
9 13
 
2.9%
3 11
 
2.4%
2 8
 
1.8%
Other values (5) 21
 
4.6%
Hangul
ValueCountFrequency (%)
113
13.0%
102
11.7%
63
 
7.2%
62
 
7.1%
62
 
7.1%
62
 
7.1%
61
 
7.0%
48
 
5.5%
36
 
4.1%
25
 
2.9%
Other values (35) 238
27.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2022-08-25 00:00:00
Maximum2022-08-25 00:00:00
2023-12-13T00:32:30.078758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:32:30.171889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T00:32:30.510128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별의료기관명전화번호의료기관지번주소의료기관도로명주소
의료기관종별1.0001.0001.0000.6810.273
의료기관명1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
의료기관지번주소0.6811.0001.0001.0000.997
의료기관도로명주소0.2731.0001.0000.9971.000

Missing values

2023-12-13T00:32:26.464596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:32:26.607830image/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.
2023-12-13T00:32:26.754431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

의료기관종별의료기관명전화번호의료기관지번주소의료기관도로명주소데이터기준일자
0의원김수환내과의원054-733-6930경상북도 영덕군 영덕읍 남석리 69번지 30호경상북도 영덕군 영덕읍 중앙길 1062022-08-25
1의원김연수신경외과의원054-732-7600<NA>경상북도 영덕군 영해면 예주시장길 102022-08-25
2의원영해 선한 가정의학과의원054-733-7766<NA>경상북도 영덕군 영해면 예주시장6길 4-102022-08-25
3의원경대이비인후과의원054-733-1488경상북도 영덕군 영덕읍 남석리 69-27경상북도 영덕군 영덕읍 중앙길 1072022-08-25
4의원365행복한 연합의원054-733-7322경상북도 영덕군 영덕읍 덕곡리 310번지 1호경상북도 영덕군 영덕읍 덕곡길 118 (경상북도 영덕교육청)2022-08-25
5의원영덕파티마 마취통증의학과의원054-734-6575경상북도 영덕군 영덕읍 덕곡리 159-4경상북도 영덕군 영덕읍 덕곡길 912022-08-25
6의원서울한결의원054-734-7778<NA>경상북도 영덕군 영해면 예주시장길 43-12022-08-25
7의원영덕경대안과의원054-734-5817경상북도 영덕군 영덕읍 덕곡리경상북도 영덕군 영덕읍 중앙길 902022-08-25
8의원서울연합의원054-733-2663경상북도 영덕군 영덕읍 남석리 69-48경상북도 영덕군 영덕읍 남석길 76-12022-08-25
9의원동해의원054-733-2009경상북도 영덕군 축산면 축산리 98-1경상북도 영덕군 축산면 영덕대게로 20732022-08-25
의료기관종별의료기관명전화번호의료기관지번주소의료기관도로명주소데이터기준일자
51약국명신온누리약국054-733-2777경상북도 영덕군 강구면 강구리 366경상북도 영덕군 강구면 영덕대게로 342022-08-25
52약국한독약국054-732-4201경상북도 영덕군 축산면 축산리 86-27경상북도 영덕군 축산면 축산항4길 112022-08-25
53약국영해약국054-732-0204경상북도 영덕군 영해면 성내리 636-2경상북도 영덕군 영해면 예주시장길 92022-08-25
54약국대구약국054-733-3388경상북도 영덕군 영덕읍 남석리 98-1경상북도 영덕군 영덕읍 중앙길 108-432022-08-25
55소독업소주식회사 로하스054-733-1188<NA>경상북도 영덕군 강구면 동해대로 44392022-08-25
56소독업소유강환경<NA><NA>경상북도 영덕군 강구면 해상공원길 692022-08-25
57소독업소이엠시스템 영덕영업소054-733-6665<NA>경상북도 영덕군 영해면 예주5길 12-1, 501호 (궁전아파트)2022-08-25
58소독업소현대방역공사<NA>경상북도 영덕군 강구면 금호리 296번지 1호 9통 1반경상북도 영덕군 강구면 강영로 3452022-08-25
59소독업소(주)두드림054-734-7200경상북도 영덕군 영덕읍 우곡리 169번지 8호경상북도 영덕군 영덕읍 덕곡길 1072022-08-25
60소독업소(주)오롯이054-733-2560경상북도 영덕군 영덕읍 덕곡리 151번지 12호경상북도 영덕군 영덕읍 강변길 582022-08-25