Overview

Dataset statistics

Number of variables5
Number of observations61
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory42.2 B

Variable types

Text3
Categorical2

Dataset

Description경기도 포찬시에서 제공하는 의원현황(의료기관명, 의료기관명, 의료기관전화번호, 의료기관종별) 데이터 입니다.
Author경기도 포천시
URLhttps://www.data.go.kr/data/15044037/fileData.do

Alerts

의료기관종별 has constant value ""Constant
데이터기준일자 has constant value ""Constant
의료기관전화번호 has 1 (1.6%) missing valuesMissing
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:33:32.076374
Analysis finished2023-12-12 20:33:32.534850
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T05:33:32.700378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.1311475
Min length3

Characters and Unicode

Total characters435
Distinct characters108
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

Unique61 ?
Unique (%)100.0%

Sample

1st row서울마디튼튼의원
2nd row성모부부내과의원
3rd row정담피부과의원
4th row성모속튼튼내과의원
5th row서울베스트마취통증의학과의원
ValueCountFrequency (%)
서울마디튼튼의원 1
 
1.6%
한사랑의원 1
 
1.6%
서울의원 1
 
1.6%
서울안과의원 1
 
1.6%
중문내과의원 1
 
1.6%
한솔정형외과의원 1
 
1.6%
중앙신경외과의원 1
 
1.6%
내촌열린의원 1
 
1.6%
양문서울의원 1
 
1.6%
송우신안과의원 1
 
1.6%
Other values (51) 51
83.6%
2023-12-13T05:33:33.096742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 64
 
14.7%
원 61
 
14.0%
과 43
 
9.9%
내 14
 
3.2%
외 9
 
2.1%
서 8
 
1.8%
울 8
 
1.8%
소 7
 
1.6%
성 7
 
1.6%
이 7
 
1.6%
Other values (98) 207
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
99.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 64
 
14.7%
원 61
 
14.1%
과 43
 
9.9%
내 14
 
3.2%
외 9
 
2.1%
서 8
 
1.8%
울 8
 
1.8%
소 7
 
1.6%
성 7
 
1.6%
이 7
 
1.6%
Other values (97) 206
47.5%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 64
 
14.7%
원 61
 
14.1%
과 43
 
9.9%
내 14
 
3.2%
외 9
 
2.1%
서 8
 
1.8%
울 8
 
1.8%
소 7
 
1.6%
성 7
 
1.6%
이 7
 
1.6%
Other values (97) 206
47.5%
Common
ValueCountFrequency (%)
& 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
99.8%
ASCII 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 64
 
14.7%
원 61
 
14.1%
과 43
 
9.9%
내 14
 
3.2%
외 9
 
2.1%
서 8
 
1.8%
울 8
 
1.8%
소 7
 
1.6%
성 7
 
1.6%
이 7
 
1.6%
Other values (97) 206
47.5%
ASCII
ValueCountFrequency (%)
& 1
100.0%

의료기관주소
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T05:33:33.386329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length24.983607
Min length18

Characters and Unicode

Total characters1524
Distinct characters96
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

Unique59 ?
Unique (%)96.7%

Sample

1st row경기도 포천시 소흘읍 솔모루로55 5층
2nd row경기도 포천시 영북면 영북로 180, 3층
3rd row경기도 포천시 소흘읍 봉솔로5길 27, 4층 401호
4th row경기도 포천시 소흘읍 봉솔로5길 27, 2층 202호
5th row경기도 포천시 소흘읍 봉솔로5길 27, 6층 601,2,3,4호
ValueCountFrequency (%)
경기도 61
17.0%
포천시 61
17.0%
소흘읍 25
 
7.0%
신읍동 20
 
5.6%
솔모루로 15
 
4.2%
중앙로 10
 
2.8%
2층 9
 
2.5%
3층 8
 
2.2%
4층 6
 
1.7%
봉솔로5길 5
 
1.4%
Other values (98) 138
38.5%
2023-12-13T05:33:33.836623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
19.5%
천 63
 
4.1%
포 62
 
4.1%
기 62
 
4.1%
경 61
 
4.0%
도 61
 
4.0%
시 61
 
4.0%
로 57
 
3.7%
1 49
 
3.2%
읍 45
 
3.0%
Other values (86) 706
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 871
57.2%
Space Separator 297
 
19.5%
Decimal Number 243
 
15.9%
Other Punctuation 42
 
2.8%
Open Punctuation 30
 
2.0%
Close Punctuation 30
 
2.0%
Dash Punctuation 11
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 63
 
7.2%
포 62
 
7.1%
기 62
 
7.1%
경 61
 
7.0%
도 61
 
7.0%
시 61
 
7.0%
로 57
 
6.5%
읍 45
 
5.2%
동 34
 
3.9%
층 31
 
3.6%
Other values (71) 334
38.3%
Decimal Number
ValueCountFrequency (%)
1 49
20.2%
3 32
13.2%
2 30
12.3%
5 29
11.9%
0 23
9.5%
4 22
9.1%
6 17
 
7.0%
7 16
 
6.6%
9 14
 
5.8%
8 11
 
4.5%
Space Separator
ValueCountFrequency (%)
297
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 871
57.2%
Common 653
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 63
 
7.2%
포 62
 
7.1%
기 62
 
7.1%
경 61
 
7.0%
도 61
 
7.0%
시 61
 
7.0%
로 57
 
6.5%
읍 45
 
5.2%
동 34
 
3.9%
층 31
 
3.6%
Other values (71) 334
38.3%
Common
ValueCountFrequency (%)
297
45.5%
1 49
 
7.5%
, 42
 
6.4%
3 32
 
4.9%
( 30
 
4.6%
2 30
 
4.6%
) 30
 
4.6%
5 29
 
4.4%
0 23
 
3.5%
4 22
 
3.4%
Other values (5) 69
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 871
57.2%
ASCII 653
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
45.5%
1 49
 
7.5%
, 42
 
6.4%
3 32
 
4.9%
( 30
 
4.6%
2 30
 
4.6%
) 30
 
4.6%
5 29
 
4.4%
0 23
 
3.5%
4 22
 
3.4%
Other values (5) 69
 
10.6%
Hangul
ValueCountFrequency (%)
천 63
 
7.2%
포 62
 
7.1%
기 62
 
7.1%
경 61
 
7.0%
도 61
 
7.0%
시 61
 
7.0%
로 57
 
6.5%
읍 45
 
5.2%
동 34
 
3.9%
층 31
 
3.6%
Other values (71) 334
38.3%

의료기관전화번호
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size620.0 B
2023-12-13T05:33:34.118690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.066667
Min length12

Characters and Unicode

Total characters724
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

Unique60 ?
Unique (%)100.0%

Sample

1st row0507-1491-0234
2nd row031-535-3700
3rd row031-8080-3987
4th row031-541-2288
5th row031-544-7501
ValueCountFrequency (%)
0507-1491-0234 1
 
1.7%
031-535-3700 1
 
1.7%
031-536-1197 1
 
1.7%
031-536-5353 1
 
1.7%
031-532-6357 1
 
1.7%
031-542-8275 1
 
1.7%
031-533-7784 1
 
1.7%
031-532-0226 1
 
1.7%
031-533-8275 1
 
1.7%
031-543-5432 1
 
1.7%
Other values (50) 50
83.3%
2023-12-13T05:33:34.571179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 126
17.4%
- 120
16.6%
5 103
14.2%
0 89
12.3%
1 88
12.2%
4 48
 
6.6%
2 38
 
5.2%
7 36
 
5.0%
8 34
 
4.7%
9 25
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 604
83.4%
Dash Punctuation 120
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 126
20.9%
5 103
17.1%
0 89
14.7%
1 88
14.6%
4 48
 
7.9%
2 38
 
6.3%
7 36
 
6.0%
8 34
 
5.6%
9 25
 
4.1%
6 17
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 126
17.4%
- 120
16.6%
5 103
14.2%
0 89
12.3%
1 88
12.2%
4 48
 
6.6%
2 38
 
5.2%
7 36
 
5.0%
8 34
 
4.7%
9 25
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 126
17.4%
- 120
16.6%
5 103
14.2%
0 89
12.3%
1 88
12.2%
4 48
 
6.6%
2 38
 
5.2%
7 36
 
5.0%
8 34
 
4.7%
9 25
 
3.5%

의료기관종별
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
의원
61 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 61
100.0%

Length

2023-12-13T05:33:34.746995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:33:34.944415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 61
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
2022-07-07
61 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-07-07
2nd row2022-07-07
3rd row2022-07-07
4th row2022-07-07
5th row2022-07-07

Common Values

ValueCountFrequency (%)
2022-07-07 61
100.0%

Length

2023-12-13T05:33:35.081262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:33:35.192265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-07-07 61
100.0%

Correlations

2023-12-13T05:33:35.272121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관주소의료기관전화번호
의료기관명1.0001.0001.000
의료기관주소1.0001.0001.000
의료기관전화번호1.0001.0001.000

Missing values

2023-12-13T05:33:32.363311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:33:32.486896image/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

의료기관명의료기관주소의료기관전화번호의료기관종별데이터기준일자
0서울마디튼튼의원경기도 포천시 소흘읍 솔모루로55 5층0507-1491-0234의원2022-07-07
1성모부부내과의원경기도 포천시 영북면 영북로 180, 3층031-535-3700의원2022-07-07
2정담피부과의원경기도 포천시 소흘읍 봉솔로5길 27, 4층 401호031-8080-3987의원2022-07-07
3성모속튼튼내과의원경기도 포천시 소흘읍 봉솔로5길 27, 2층 202호031-541-2288의원2022-07-07
4서울베스트마취통증의학과의원경기도 포천시 소흘읍 봉솔로5길 27, 6층 601,2,3,4호031-544-7501의원2022-07-07
5서울최내과의원경기도 포천시 건너말길 6-2 (선단동)031-542-8252의원2022-07-07
6포천그린내과의원경기도 포천시 소흘읍 솔모루로 93-1, 1층031-543-0950의원2022-07-07
7양지현소아청소년과의원경기도 포천시 중앙로 73 (신읍동)031-535-7891의원2022-07-07
8현대성심의원경기도 포천시 중앙로 147 (신읍동)031-532-7954의원2022-07-07
9진비뇨기과의원경기도 포천시 소흘읍 솔모루로 41, 2층010-9545-9523의원2022-07-07
의료기관명의료기관주소의료기관전화번호의료기관종별데이터기준일자
51김판규내과의원경기도 포천시 중앙로119번길 2 (신읍동)031-533-8998의원2022-07-07
52일동연세의원경기도 포천시 일동면 화동로 1066031-532-0396의원2022-07-07
53중앙의원경기도 포천시 일동면 화동로 1046031-532-4115의원2022-07-07
54홍외과의원경기도 포천시 구절초로 16-1 (신읍동)031-535-9740의원2022-07-07
55박비뇨기과의원경기도 포천시 중앙로 133 (신읍동)031-535-3999의원2022-07-07
56두리이비인후과의원경기도 포천시 중앙로 125 (신읍동)031-534-7772의원2022-07-07
57김내과의원경기도 포천시 소흘읍 솔모루로 72031-543-4224의원2022-07-07
58포천외과의원경기도 포천시 구절초로 17 (신읍동)031-535-4756의원2022-07-07
59성심외과의원경기도 포천시 영북면 영북로 180-1, 2층031-532-3500의원2022-07-07
60최의원경기도 포천시 영북면 영북로 183-10031-532-5084의원2022-07-07