Overview

Dataset statistics

Number of variables3
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory26.8 B

Variable types

Text3

Dataset

Description경기도 연천군 내 의료기관을 개방하여 치료가 필요한 주민들에게 편의를 제공하는 서비스입니다.(의료기관명,소재지,전화번호)
Author경기도 연천군
URLhttps://www.data.go.kr/data/15017185/fileData.do

Alerts

의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:11:24.724203
Analysis finished2023-12-12 19:11:25.122345
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T04:11:25.347401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.3125
Min length4

Characters and Unicode

Total characters351
Distinct characters103
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row권준정형외과의원
2nd row하나플란트 치과의원
3rd row활기찬의원
4th row조은안과의원
5th row웃음가득치과의원
ValueCountFrequency (%)
치과의원 2
 
3.8%
권준정형외과의원 1
 
1.9%
연천군양원리보건진료소 1
 
1.9%
전곡정형외과의원 1
 
1.9%
연천군동중리보건진료소 1
 
1.9%
연천한의원 1
 
1.9%
제일의원 1
 
1.9%
안희용치과의원 1
 
1.9%
김봉환치과의원 1
 
1.9%
강비뇨기과의원 1
 
1.9%
Other values (41) 41
78.8%
2023-12-13T04:11:25.836832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
10.0%
35
 
10.0%
19
 
5.4%
15
 
4.3%
15
 
4.3%
14
 
4.0%
12
 
3.4%
12
 
3.4%
11
 
3.1%
10
 
2.8%
Other values (93) 173
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
97.4%
Space Separator 4
 
1.1%
Uppercase Letter 3
 
0.9%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
10.2%
35
 
10.2%
19
 
5.6%
15
 
4.4%
15
 
4.4%
14
 
4.1%
12
 
3.5%
12
 
3.5%
11
 
3.2%
10
 
2.9%
Other values (88) 164
48.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
Y 1
33.3%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
97.4%
Common 6
 
1.7%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
10.2%
35
 
10.2%
19
 
5.6%
15
 
4.4%
15
 
4.4%
14
 
4.1%
12
 
3.5%
12
 
3.5%
11
 
3.2%
10
 
2.9%
Other values (88) 164
48.0%
Common
ValueCountFrequency (%)
4
66.7%
6 1
 
16.7%
1 1
 
16.7%
Latin
ValueCountFrequency (%)
S 2
66.7%
Y 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
97.4%
ASCII 9
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
35
 
10.2%
35
 
10.2%
19
 
5.6%
15
 
4.4%
15
 
4.4%
14
 
4.1%
12
 
3.5%
12
 
3.5%
11
 
3.2%
10
 
2.9%
Other values (88) 164
48.0%
ASCII
ValueCountFrequency (%)
4
44.4%
S 2
22.2%
6 1
 
11.1%
1 1
 
11.1%
Y 1
 
11.1%
Distinct43
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T04:11:26.150571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length19.5625
Min length18

Characters and Unicode

Total characters939
Distinct characters60
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

Unique39 ?
Unique (%)81.2%

Sample

1st row경기도 연천군 전곡읍 전곡로 185
2nd row경기도 연천군 전곡읍 전곡로 162
3rd row경기도 연천군 전곡읍 전곡로 205
4th row경기도 연천군 전곡읍 전곡로 175
5th row경기도 연천군 전곡읍 전곡로 175
ValueCountFrequency (%)
경기도 48
20.0%
연천군 48
20.0%
전곡읍 30
12.5%
전곡로 21
 
8.8%
연천읍 8
 
3.3%
175 3
 
1.2%
연천역로 3
 
1.2%
백학면 2
 
0.8%
온골로 2
 
0.8%
왕징면 2
 
0.8%
Other values (67) 73
30.4%
2023-12-13T04:11:26.660804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
20.4%
63
 
6.7%
62
 
6.6%
53
 
5.6%
53
 
5.6%
51
 
5.4%
49
 
5.2%
48
 
5.1%
48
 
5.1%
47
 
5.0%
Other values (50) 273
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
63.6%
Space Separator 192
 
20.4%
Decimal Number 144
 
15.3%
Dash Punctuation 5
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
10.6%
62
10.4%
53
8.9%
53
8.9%
51
8.5%
49
8.2%
48
8.0%
48
8.0%
47
7.9%
38
6.4%
Other values (37) 85
14.2%
Decimal Number
ValueCountFrequency (%)
1 32
22.2%
5 23
16.0%
6 17
11.8%
2 17
11.8%
3 15
10.4%
4 11
 
7.6%
7 10
 
6.9%
0 7
 
4.9%
9 6
 
4.2%
8 6
 
4.2%
Space Separator
ValueCountFrequency (%)
192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 597
63.6%
Common 342
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
10.6%
62
10.4%
53
8.9%
53
8.9%
51
8.5%
49
8.2%
48
8.0%
48
8.0%
47
7.9%
38
6.4%
Other values (37) 85
14.2%
Common
ValueCountFrequency (%)
192
56.1%
1 32
 
9.4%
5 23
 
6.7%
6 17
 
5.0%
2 17
 
5.0%
3 15
 
4.4%
4 11
 
3.2%
7 10
 
2.9%
0 7
 
2.0%
9 6
 
1.8%
Other values (3) 12
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
63.6%
ASCII 342
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
56.1%
1 32
 
9.4%
5 23
 
6.7%
6 17
 
5.0%
2 17
 
5.0%
3 15
 
4.4%
4 11
 
3.2%
7 10
 
2.9%
0 7
 
2.0%
9 6
 
1.8%
Other values (3) 12
 
3.5%
Hangul
ValueCountFrequency (%)
63
10.6%
62
10.4%
53
8.9%
53
8.9%
51
8.5%
49
8.2%
48
8.0%
48
8.0%
47
7.9%
38
6.4%
Other values (37) 85
14.2%
Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T04:11:26.995921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters576
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row031-835-1015
2nd row031-833-2804
3rd row031-832-7118
4th row031-833-7582
5th row031-835-2080
ValueCountFrequency (%)
031-835-1015 1
 
2.0%
031-832-0895 1
 
2.0%
031-832-8430 1
 
2.0%
031-832-7345 1
 
2.0%
031-834-1373 1
 
2.0%
031-834-2181 1
 
2.0%
031-832-7930 1
 
2.0%
031-834-2875 1
 
2.0%
031-835-0108 1
 
2.0%
031-835-5502 1
 
2.0%
Other values (40) 40
80.0%
2023-12-13T04:11:27.471098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 122
21.2%
- 94
16.3%
0 78
13.5%
8 74
12.8%
1 71
12.3%
5 41
 
7.1%
2 33
 
5.7%
4 26
 
4.5%
7 20
 
3.5%
9 11
 
1.9%
Other values (2) 6
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.3%
Dash Punctuation 94
 
16.3%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 122
25.4%
0 78
16.2%
8 74
15.4%
1 71
14.8%
5 41
 
8.5%
2 33
 
6.9%
4 26
 
5.4%
7 20
 
4.2%
9 11
 
2.3%
6 4
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 122
21.2%
- 94
16.3%
0 78
13.5%
8 74
12.8%
1 71
12.3%
5 41
 
7.1%
2 33
 
5.7%
4 26
 
4.5%
7 20
 
3.5%
9 11
 
1.9%
Other values (2) 6
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 122
21.2%
- 94
16.3%
0 78
13.5%
8 74
12.8%
1 71
12.3%
5 41
 
7.1%
2 33
 
5.7%
4 26
 
4.5%
7 20
 
3.5%
9 11
 
1.9%
Other values (2) 6
 
1.0%

Correlations

2023-12-13T04:11:27.574928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관주소(도로명)의료기관전화번호
의료기관명1.0001.0001.000
의료기관주소(도로명)1.0001.0001.000
의료기관전화번호1.0001.0001.000

Missing values

2023-12-13T04:11:24.963662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:11:25.067154image/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

의료기관명의료기관주소(도로명)의료기관전화번호
0권준정형외과의원경기도 연천군 전곡읍 전곡로 185031-835-1015
1하나플란트 치과의원경기도 연천군 전곡읍 전곡로 162031-833-2804
2활기찬의원경기도 연천군 전곡읍 전곡로 205031-832-7118
3조은안과의원경기도 연천군 전곡읍 전곡로 175031-833-7582
4웃음가득치과의원경기도 연천군 전곡읍 전곡로 175031-835-2080
5방치과의원경기도 연천군 연천읍 연천역로 1031-834-9343
6우리들 정형외과의원경기도 연천군 전곡읍 전곡로 136031-832-5151
7프로방스 치과의원경기도 연천군 전곡읍 전곡로 25-23031-833-2833
8왕편한 내과의원경기도 연천군 전곡읍 전곡로161번길 9031-835-8275
9서울의원경기도 연천군 전곡읍 전곡로167번길 6031-833-8005
의료기관명의료기관주소(도로명)의료기관전화번호
38연천군마전리보건진료소경기도 연천군 미산면 청정로 1325031-835-7348
39연천군고문리보건진료소경기도 연천군 연천읍 현문로 429031-834-3469
40청산보건지소경기도 연천군 청산면 아우라지길 7-16031-835-3465
41신서보건지소경기도 연천군 신서면 도대로3번길 63031-834-8032
42백학보건지소경기도 연천군 백학면 두일로 157031-835-5010
43경희한의원경기도 연천군 전곡읍 전곡로 150031-835-2970
44군남보건지소경기도 연천군 군남면 군남로 417031-833-8205
45김치과의원경기도 연천군 전곡읍 전곡로 156-1031-832-2645
46연천군보건의료원경기도 연천군 전곡읍 은대성로 95031-839-4001
47의료법인이정의료재단효사랑병원경기도 연천군 전곡읍 평화로 525031-830-8200