Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory59.9 B

Variable types

Categorical3
Text3
DateTime1

Dataset

Description강원도 원주시에 있는 병원에 대한 데이터로 의료기관구분, 의료기관명, 전화번호, 소재지등 다양한 데이터를 제공합니다.
Author강원특별자치도 원주시
URLhttps://www.data.go.kr/data/3069226/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
소재지 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-17 19:16:50.859815
Analysis finished2024-04-17 19:16:51.259073
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct6
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
병원
18 
요양병원(일반요양병원)
한방병원
종합병원
정신병원

Length

Max length12
Median length2
Mean length4.5882353
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row한방병원
2nd row한방병원
3rd row한방병원
4th row한방병원
5th row치과병원

Common Values

ValueCountFrequency (%)
병원 18
52.9%
요양병원(일반요양병원) 7
 
20.6%
한방병원 4
 
11.8%
종합병원 2
 
5.9%
정신병원 2
 
5.9%
치과병원 1
 
2.9%

Length

2024-04-18T04:16:51.322225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:16:51.625640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 18
52.9%
요양병원(일반요양병원 7
 
20.6%
한방병원 4
 
11.8%
종합병원 2
 
5.9%
정신병원 2
 
5.9%
치과병원 1
 
2.9%

의료기관명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T04:16:51.807354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.5294118
Min length3

Characters and Unicode

Total characters256
Distinct characters90
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

Unique34 ?
Unique (%)100.0%

Sample

1st row신원주한방병원
2nd row새봄한방병원
3rd row바른몸한방병원
4th row상지대학교부속 한방병원
5th row그랜드치과병원
ValueCountFrequency (%)
신원주한방병원 1
 
2.6%
새봄한방병원 1
 
2.6%
연세명인병원 1
 
2.6%
원주프라임병원 1
 
2.6%
본베스트병원 1
 
2.6%
원주센텀병원 1
 
2.6%
연세메디하임병원 1
 
2.6%
센트럴병원 1
 
2.6%
원주우리병원 1
 
2.6%
신창의료재단 1
 
2.6%
Other values (29) 29
74.4%
2024-04-18T04:16:52.096190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
18.8%
33
 
12.9%
13
 
5.1%
7
 
2.7%
7
 
2.7%
7
 
2.7%
6
 
2.3%
6
 
2.3%
5
 
2.0%
5
 
2.0%
Other values (80) 119
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
97.3%
Space Separator 5
 
2.0%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
19.3%
33
 
13.3%
13
 
5.2%
7
 
2.8%
7
 
2.8%
7
 
2.8%
6
 
2.4%
6
 
2.4%
5
 
2.0%
4
 
1.6%
Other values (77) 113
45.4%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
97.3%
Common 7
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
19.3%
33
 
13.3%
13
 
5.2%
7
 
2.8%
7
 
2.8%
7
 
2.8%
6
 
2.4%
6
 
2.4%
5
 
2.0%
4
 
1.6%
Other values (77) 113
45.4%
Common
ValueCountFrequency (%)
5
71.4%
1 1
 
14.3%
2 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
97.3%
ASCII 7
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
48
19.3%
33
 
13.3%
13
 
5.2%
7
 
2.8%
7
 
2.8%
7
 
2.8%
6
 
2.4%
6
 
2.4%
5
 
2.0%
4
 
1.6%
Other values (77) 113
45.4%
ASCII
ValueCountFrequency (%)
5
71.4%
1 1
 
14.3%
2 1
 
14.3%

소재지
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T04:16:52.309960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length29.588235
Min length23

Characters and Unicode

Total characters1006
Distinct characters112
Distinct categories8 ?
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 (%)100.0%

Sample

1st row강원특별자치도 원주시 지정면 신지정로 190-0 ( 5~6층)
2nd row강원특별자치도 원주시 양지로 80-0 (반곡동, 6층 (반곡동))
3rd row강원특별자치도 원주시 시청로 528-0, 3~5층 (관설동)
4th row강원특별자치도 원주시 상지대길 80-0 (우산동, (우산동))
5th row강원특별자치도 원주시 서원대로 188 (단계동)
ValueCountFrequency (%)
강원특별자치도 34
 
18.2%
원주시 34
 
18.2%
학성동 6
 
3.2%
단계동 4
 
2.1%
우산동 4
 
2.1%
문막읍 3
 
1.6%
개운동 3
 
1.6%
남원로 3
 
1.6%
원일로 3
 
1.6%
반곡동 3
 
1.6%
Other values (79) 90
48.1%
2024-04-18T04:16:52.617674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
15.2%
93
 
9.2%
37
 
3.7%
37
 
3.7%
36
 
3.6%
35
 
3.5%
35
 
3.5%
34
 
3.4%
34
 
3.4%
34
 
3.4%
Other values (102) 478
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
62.5%
Space Separator 153
 
15.2%
Decimal Number 130
 
12.9%
Close Punctuation 33
 
3.3%
Open Punctuation 33
 
3.3%
Other Punctuation 13
 
1.3%
Dash Punctuation 9
 
0.9%
Math Symbol 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
93
14.8%
37
 
5.9%
37
 
5.9%
36
 
5.7%
35
 
5.6%
35
 
5.6%
34
 
5.4%
34
 
5.4%
34
 
5.4%
32
 
5.1%
Other values (86) 222
35.3%
Decimal Number
ValueCountFrequency (%)
1 26
20.0%
0 19
14.6%
6 17
13.1%
2 16
12.3%
5 12
9.2%
7 11
8.5%
3 9
 
6.9%
9 8
 
6.2%
4 6
 
4.6%
8 6
 
4.6%
Space Separator
ValueCountFrequency (%)
153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
62.5%
Common 377
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
93
14.8%
37
 
5.9%
37
 
5.9%
36
 
5.7%
35
 
5.6%
35
 
5.6%
34
 
5.4%
34
 
5.4%
34
 
5.4%
32
 
5.1%
Other values (86) 222
35.3%
Common
ValueCountFrequency (%)
153
40.6%
) 33
 
8.8%
( 33
 
8.8%
1 26
 
6.9%
0 19
 
5.0%
6 17
 
4.5%
2 16
 
4.2%
, 13
 
3.4%
5 12
 
3.2%
7 11
 
2.9%
Other values (6) 44
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
62.5%
ASCII 377
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
40.6%
) 33
 
8.8%
( 33
 
8.8%
1 26
 
6.9%
0 19
 
5.0%
6 17
 
4.5%
2 16
 
4.2%
, 13
 
3.4%
5 12
 
3.2%
7 11
 
2.9%
Other values (6) 44
 
11.7%
Hangul
ValueCountFrequency (%)
93
14.8%
37
 
5.9%
37
 
5.9%
36
 
5.7%
35
 
5.6%
35
 
5.6%
34
 
5.4%
34
 
5.4%
34
 
5.4%
32
 
5.1%
Other values (86) 222
35.3%
Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T04:16:52.794264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.941176
Min length9

Characters and Unicode

Total characters406
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

Unique34 ?
Unique (%)100.0%

Sample

1st row033-734-7500
2nd row033-734-5844
3rd row033-765-7501
4th row033-732-2111
5th row033-732-6000
ValueCountFrequency (%)
033-734-7500 1
 
2.9%
033-734-5844 1
 
2.9%
033-1522-3375 1
 
2.9%
033-742-7766 1
 
2.9%
033-900-1111 1
 
2.9%
033-740-8800 1
 
2.9%
033-742-9371 1
 
2.9%
033-743-9801 1
 
2.9%
033-748-7800 1
 
2.9%
033-762-0100 1
 
2.9%
Other values (24) 24
70.6%
2024-04-18T04:16:53.077817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 86
21.2%
0 73
18.0%
- 67
16.5%
7 42
10.3%
1 41
10.1%
9 24
 
5.9%
4 21
 
5.2%
2 16
 
3.9%
5 12
 
3.0%
6 12
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 339
83.5%
Dash Punctuation 67
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 86
25.4%
0 73
21.5%
7 42
12.4%
1 41
12.1%
9 24
 
7.1%
4 21
 
6.2%
2 16
 
4.7%
5 12
 
3.5%
6 12
 
3.5%
8 12
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 86
21.2%
0 73
18.0%
- 67
16.5%
7 42
10.3%
1 41
10.1%
9 24
 
5.9%
4 21
 
5.2%
2 16
 
3.9%
5 12
 
3.0%
6 12
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 86
21.2%
0 73
18.0%
- 67
16.5%
7 42
10.3%
1 41
10.1%
9 24
 
5.9%
4 21
 
5.2%
2 16
 
3.9%
5 12
 
3.0%
6 12
 
3.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
강원도 원주시청
34 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 원주시청
2nd row강원도 원주시청
3rd row강원도 원주시청
4th row강원도 원주시청
5th row강원도 원주시청

Common Values

ValueCountFrequency (%)
강원도 원주시청 34
100.0%

Length

2024-04-18T04:16:53.200370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:16:53.276817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 34
50.0%
원주시청 34
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
033-737-4022
34 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-737-4022
2nd row033-737-4022
3rd row033-737-4022
4th row033-737-4022
5th row033-737-4022

Common Values

ValueCountFrequency (%)
033-737-4022 34
100.0%

Length

2024-04-18T04:16:53.359885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:16:53.437990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-4022 34
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2024-03-31 00:00:00
Maximum2024-03-31 00:00:00
2024-04-18T04:16:53.495737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:16:53.563493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-18T04:16:53.628588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별의료기관명소재지의료기관전화번호
의료기관종별1.0001.0001.0001.000
의료기관명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
의료기관전화번호1.0001.0001.0001.000

Missing values

2024-04-18T04:16:51.087967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T04:16:51.204705image/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

의료기관종별의료기관명소재지의료기관전화번호관리기관관리기관전화번호데이터기준일자
0한방병원신원주한방병원강원특별자치도 원주시 지정면 신지정로 190-0 ( 5~6층)033-734-7500강원도 원주시청033-737-40222024-03-31
1한방병원새봄한방병원강원특별자치도 원주시 양지로 80-0 (반곡동, 6층 (반곡동))033-734-5844강원도 원주시청033-737-40222024-03-31
2한방병원바른몸한방병원강원특별자치도 원주시 시청로 528-0, 3~5층 (관설동)033-765-7501강원도 원주시청033-737-40222024-03-31
3한방병원상지대학교부속 한방병원강원특별자치도 원주시 상지대길 80-0 (우산동, (우산동))033-732-2111강원도 원주시청033-737-40222024-03-31
4치과병원그랜드치과병원강원특별자치도 원주시 서원대로 188 (단계동)033-732-6000강원도 원주시청033-737-40222024-03-31
5종합병원연세대학교 원주세브란스기독병원강원특별자치도 원주시 일산로 20 (일산동)033-741-0114강원도 원주시청033-737-40222024-03-31
6종합병원강원특별자치도원주의료원강원특별자치도 원주시 서원대로 387 (개운동, 지방공사강원도원주의료원)033-761-6911강원도 원주시청033-737-40222024-03-31
7정신병원새마음병원강원특별자치도 원주시 문막읍 귀문로 1217033-731-3111강원도 원주시청033-737-40222024-03-31
8정신병원내안에병원강원특별자치도 원주시 남원로 562-5 (개운동)033-733-1199강원도 원주시청033-737-40222024-03-31
9요양병원(일반요양병원)바른요양병원강원특별자치도 원주시 판부면 치악로 1139 (원주실버요양병원)033-762-0100강원도 원주시청033-737-40222024-03-31
의료기관종별의료기관명소재지의료기관전화번호관리기관관리기관전화번호데이터기준일자
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26병원신창의료재단 원주에이치병원강원특별자치도 원주시 북원상가길 49 (태장동)033-748-7800강원도 원주시청033-737-40222024-03-31
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28병원센트럴병원강원특별자치도 원주시 백간길 95, 센트럴병원 (단계동)033-742-9371강원도 원주시청033-737-40222024-03-31
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