Overview

Dataset statistics

Number of variables5
Number of observations33
Missing cells9
Missing cells (%)5.5%
Duplicate rows1
Duplicate rows (%)3.0%
Total size in memory1.4 KiB
Average record size in memory44.0 B

Variable types

Categorical2
Text3

Dataset

Description이 데이터는 2023년 1월 13일 기준으로 전라북도 남원시의 설 연휴 비상진료 의료기관 목록에 대한 데이터 입니다.
Author전라북도 남원시
URLhttps://www.data.go.kr/data/15111923/fileData.do

Alerts

Dataset has 1 (3.0%) duplicate rowsDuplicates
구분 is highly overall correlated with 데이터 기준일자High correlation
데이터 기준일자 is highly overall correlated with 구분High correlation
데이터 기준일자 is highly imbalanced (56.1%)Imbalance
의료기관명 has 3 (9.1%) missing valuesMissing
소재지 has 3 (9.1%) missing valuesMissing
전화번호 has 3 (9.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:51:09.481367
Analysis finished2023-12-12 11:51:10.041554
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
약국
15 
한의원
7 
의원
5 
<NA>
3 
종합병원
 
1
Other values (2)
2 

Length

Max length4
Median length2
Mean length2.5151515
Min length2

Unique

Unique3 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
약국 15
45.5%
한의원 7
21.2%
의원 5
 
15.2%
<NA> 3
 
9.1%
종합병원 1
 
3.0%
병원 1
 
3.0%
치과의원 1
 
3.0%

Length

2023-12-12T20:51:10.122804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:51:10.269407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 15
45.5%
한의원 7
21.2%
의원 5
 
15.2%
na 3
 
9.1%
종합병원 1
 
3.0%
병원 1
 
3.0%
치과의원 1
 
3.0%

의료기관명
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing3
Missing (%)9.1%
Memory size396.0 B
2023-12-12T20:51:10.493148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.8
Min length4

Characters and Unicode

Total characters174
Distinct characters66
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

Unique30 ?
Unique (%)100.0%

Sample

1st row전라북도남원의료원
2nd row남원병원
3rd row남원내과의원
4th row이비뇨기과의원
5th row임내과의원
ValueCountFrequency (%)
남원병원 1
 
3.3%
남원내과의원 1
 
3.3%
평화약국 1
 
3.3%
조은온누리약국 1
 
3.3%
인월백제약국 1
 
3.3%
이백백제약국 1
 
3.3%
온누리백제약국 1
 
3.3%
수온누리약국 1
 
3.3%
세계로약국 1
 
3.3%
새호남약국 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T20:51:10.897362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 23
 
13.2%
약 15
 
8.6%
의 15
 
8.6%
국 15
 
8.6%
한 10
 
5.7%
남 8
 
4.6%
제 6
 
3.4%
백 5
 
2.9%
과 5
 
2.9%
리 4
 
2.3%
Other values (56) 68
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
99.4%
Uppercase Letter 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 23
 
13.3%
약 15
 
8.7%
의 15
 
8.7%
국 15
 
8.7%
한 10
 
5.8%
남 8
 
4.6%
제 6
 
3.5%
백 5
 
2.9%
과 5
 
2.9%
리 4
 
2.3%
Other values (55) 67
38.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
99.4%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 23
 
13.3%
약 15
 
8.7%
의 15
 
8.7%
국 15
 
8.7%
한 10
 
5.8%
남 8
 
4.6%
제 6
 
3.5%
백 5
 
2.9%
과 5
 
2.9%
리 4
 
2.3%
Other values (55) 67
38.7%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 23
 
13.3%
약 15
 
8.7%
의 15
 
8.7%
국 15
 
8.7%
한 10
 
5.8%
남 8
 
4.6%
제 6
 
3.5%
백 5
 
2.9%
과 5
 
2.9%
리 4
 
2.3%
Other values (55) 67
38.7%
ASCII
ValueCountFrequency (%)
S 1
100.0%

소재지
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing3
Missing (%)9.1%
Memory size396.0 B
2023-12-12T20:51:11.205702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.466667
Min length19

Characters and Unicode

Total characters644
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row전라북도 남원시 충정로 365 (고죽동)
2nd row전라북도 남원시 충정로 1156 (향교동)
3rd row전라북도 남원시 남문로 393 (왕정동)
4th row전라북도 남원시 남문로 438 (금동)
5th row전라북도 남원시 용성로 113 (동충동)
ValueCountFrequency (%)
전라북도 30
20.0%
남원시 30
20.0%
남문로 8
 
5.3%
금동 7
 
4.7%
용성로 6
 
4.0%
왕정동 5
 
3.3%
동충동 4
 
2.7%
의총로 4
 
2.7%
도통동 3
 
2.0%
충정로 3
 
2.0%
Other values (43) 50
33.3%
2023-12-12T20:51:11.632140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
18.6%
남 38
 
5.9%
도 33
 
5.1%
전 30
 
4.7%
시 30
 
4.7%
동 30
 
4.7%
라 30
 
4.7%
원 30
 
4.7%
북 30
 
4.7%
로 28
 
4.3%
Other values (48) 245
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
60.4%
Space Separator 120
 
18.6%
Decimal Number 80
 
12.4%
Open Punctuation 26
 
4.0%
Close Punctuation 26
 
4.0%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 38
 
9.8%
도 33
 
8.5%
전 30
 
7.7%
시 30
 
7.7%
동 30
 
7.7%
라 30
 
7.7%
원 30
 
7.7%
북 30
 
7.7%
로 28
 
7.2%
정 10
 
2.6%
Other values (34) 100
25.7%
Decimal Number
ValueCountFrequency (%)
1 13
16.2%
3 13
16.2%
2 10
12.5%
0 9
11.2%
5 8
10.0%
6 7
8.8%
4 6
7.5%
7 6
7.5%
9 5
 
6.2%
8 3
 
3.8%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
60.4%
Common 255
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 38
 
9.8%
도 33
 
8.5%
전 30
 
7.7%
시 30
 
7.7%
동 30
 
7.7%
라 30
 
7.7%
원 30
 
7.7%
북 30
 
7.7%
로 28
 
7.2%
정 10
 
2.6%
Other values (34) 100
25.7%
Common
ValueCountFrequency (%)
120
47.1%
( 26
 
10.2%
) 26
 
10.2%
1 13
 
5.1%
3 13
 
5.1%
2 10
 
3.9%
0 9
 
3.5%
5 8
 
3.1%
6 7
 
2.7%
4 6
 
2.4%
Other values (4) 17
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
60.4%
ASCII 255
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
47.1%
( 26
 
10.2%
) 26
 
10.2%
1 13
 
5.1%
3 13
 
5.1%
2 10
 
3.9%
0 9
 
3.5%
5 8
 
3.1%
6 7
 
2.7%
4 6
 
2.4%
Other values (4) 17
 
6.7%
Hangul
ValueCountFrequency (%)
남 38
 
9.8%
도 33
 
8.5%
전 30
 
7.7%
시 30
 
7.7%
동 30
 
7.7%
라 30
 
7.7%
원 30
 
7.7%
북 30
 
7.7%
로 28
 
7.2%
정 10
 
2.6%
Other values (34) 100
25.7%

전화번호
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing3
Missing (%)9.1%
Memory size396.0 B
2023-12-12T20:51:11.941169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row063-620-1119
2nd row063-631-0119
3rd row063-633-7975
4th row063-626-7582
5th row063-632-5114
ValueCountFrequency (%)
063-631-0119 1
 
3.3%
063-633-7975 1
 
3.3%
063-634-7770 1
 
3.3%
063-625-0911 1
 
3.3%
063-636-0664 1
 
3.3%
063-635-2121 1
 
3.3%
063-632-7272 1
 
3.3%
063-634-2461 1
 
3.3%
063-632-1733 1
 
3.3%
063-636-2017 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T20:51:12.399567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 75
20.8%
3 67
18.6%
- 60
16.7%
0 43
11.9%
2 35
9.7%
5 20
 
5.6%
1 19
 
5.3%
7 17
 
4.7%
9 10
 
2.8%
8 8
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 75
25.0%
3 67
22.3%
0 43
14.3%
2 35
11.7%
5 20
 
6.7%
1 19
 
6.3%
7 17
 
5.7%
9 10
 
3.3%
8 8
 
2.7%
4 6
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 75
20.8%
3 67
18.6%
- 60
16.7%
0 43
11.9%
2 35
9.7%
5 20
 
5.6%
1 19
 
5.3%
7 17
 
4.7%
9 10
 
2.8%
8 8
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 75
20.8%
3 67
18.6%
- 60
16.7%
0 43
11.9%
2 35
9.7%
5 20
 
5.6%
1 19
 
5.3%
7 17
 
4.7%
9 10
 
2.8%
8 8
 
2.2%

데이터 기준일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-01-13
30 
<NA>
 
3

Length

Max length10
Median length10
Mean length9.4545455
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-13
2nd row2023-01-13
3rd row2023-01-13
4th row2023-01-13
5th row2023-01-13

Common Values

ValueCountFrequency (%)
2023-01-13 30
90.9%
<NA> 3
 
9.1%

Length

2023-12-12T20:51:12.573305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:51:12.736022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-13 30
90.9%
na 3
 
9.1%

Correlations

2023-12-12T20:51:12.821291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분의료기관명소재지전화번호
구분1.0001.0000.9441.000
의료기관명1.0001.0001.0001.000
소재지0.9441.0001.0001.000
전화번호1.0001.0001.0001.000
2023-12-12T20:51:12.942787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분데이터 기준일자
구분1.0001.000
데이터 기준일자1.0001.000
2023-12-12T20:51:13.057599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분데이터 기준일자
구분1.0001.000
데이터 기준일자1.0001.000

Missing values

2023-12-12T20:51:09.712187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:51:09.810273image/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.
2023-12-12T20:51:09.963652image/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

구분의료기관명소재지전화번호데이터 기준일자
0종합병원전라북도남원의료원전라북도 남원시 충정로 365 (고죽동)063-620-11192023-01-13
1병원남원병원전라북도 남원시 충정로 1156 (향교동)063-631-01192023-01-13
2의원남원내과의원전라북도 남원시 남문로 393 (왕정동)063-633-79752023-01-13
3의원이비뇨기과의원전라북도 남원시 남문로 438 (금동)063-626-75822023-01-13
4의원임내과의원전라북도 남원시 용성로 113 (동충동)063-632-51142023-01-13
5의원사랑방의원전라북도 남원시 남문로 392 (금동)063-635-30202023-01-13
6의원중앙가정의학과의원전라북도 남원시 용성로 79 (동충동)063-625-89772023-01-13
7치과의원한치과의원전라북도 남원시 춘향로 21 (도통동)063-631-22752023-01-13
8한의원남원S한의원전라북도 남원시 의총로 77 (왕정동)063-633-95002023-01-13
9한의원문심당한의원전라북도 남원시 광한서로 60 (하정동)063-632-10752023-01-13
구분의료기관명소재지전화번호데이터 기준일자
23약국세계로약국전라북도 남원시 남문로 395 (왕정동)063-632-17332023-01-13
24약국수온누리약국전라북도 남원시 남문로 401 (왕정동)063-634-24612023-01-13
25약국온누리백제약국전라북도 남원시 충정로 370 (고죽동)063-632-72722023-01-13
26약국이백백제약국전라북도 남원시 이백면 문화안길 3번지063-635-21212023-01-13
27약국인월백제약국전라북도 남원시 인월면 인월로 68063-636-06642023-01-13
28약국조은온누리약국전라북도 남원시 의총로 55 (금동)063-625-09112023-01-13
29약국평화약국전라북도 남원시 숲정이2길 15 (죽항동)063-634-77702023-01-13
30<NA><NA><NA><NA><NA>
31<NA><NA><NA><NA><NA>
32<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

구분의료기관명소재지전화번호데이터 기준일자# duplicates
0<NA><NA><NA><NA><NA>3