Overview

Dataset statistics

Number of variables5
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory44.0 B

Variable types

Categorical2
Text3

Dataset

Description이 데이터는 2022년 8월 30일 기준으로 전라북도 남원시의 추석 연휴 비상진료 의료기관 목록에 대한 데이터 입니다.
Author전라북도 남원시
URLhttps://www.data.go.kr/data/15105980/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:21:46.114772
Analysis finished2023-12-12 03:21:46.579079
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
약국
17 
의원
한의원
치과의원
종합병원
 
1

Length

Max length4
Median length2
Mean length2.3939394
Min length2

Unique

Unique2 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
약국 17
51.5%
의원 6
 
18.2%
한의원 5
 
15.2%
치과의원 3
 
9.1%
종합병원 1
 
3.0%
병원 1
 
3.0%

Length

2023-12-12T12:21:46.689547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:21:46.908440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 17
51.5%
의원 6
 
18.2%
한의원 5
 
15.2%
치과의원 3
 
9.1%
종합병원 1
 
3.0%
병원 1
 
3.0%

의료기관명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T12:21:47.229271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.6969697
Min length4

Characters and Unicode

Total characters188
Distinct characters73
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

Unique33 ?
Unique (%)100.0%

Sample

1st row전라북도남원의료원
2nd row남원병원
3rd row남원내과의원
4th row미래연합의원
5th row이비뇨기과의원
ValueCountFrequency (%)
전라북도남원의료원 1
 
3.0%
구세당약국 1
 
3.0%
인월백제약국 1
 
3.0%
이백백제약국 1
 
3.0%
위생약국 1
 
3.0%
온누리백제약국 1
 
3.0%
시장종로약국 1
 
3.0%
수온누리약국 1
 
3.0%
세계로약국 1
 
3.0%
새호남약국 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T12:21:47.655757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
12.8%
17
 
9.0%
17
 
9.0%
16
 
8.5%
8
 
4.3%
8
 
4.3%
7
 
3.7%
5
 
2.7%
5
 
2.7%
4
 
2.1%
Other values (63) 77
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
99.5%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
12.8%
17
 
9.1%
17
 
9.1%
16
 
8.6%
8
 
4.3%
8
 
4.3%
7
 
3.7%
5
 
2.7%
5
 
2.7%
4
 
2.1%
Other values (62) 76
40.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
99.5%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
12.8%
17
 
9.1%
17
 
9.1%
16
 
8.6%
8
 
4.3%
8
 
4.3%
7
 
3.7%
5
 
2.7%
5
 
2.7%
4
 
2.1%
Other values (62) 76
40.6%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
12.8%
17
 
9.1%
17
 
9.1%
16
 
8.6%
8
 
4.3%
8
 
4.3%
7
 
3.7%
5
 
2.7%
5
 
2.7%
4
 
2.1%
Other values (62) 76
40.6%
ASCII
ValueCountFrequency (%)
S 1
100.0%
Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T12:21:47.934829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.030303
Min length14

Characters and Unicode

Total characters529
Distinct characters41
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

Unique31 ?
Unique (%)93.9%

Sample

1st row전라북도 남원시 충정로 365
2nd row전라북도 남원시 충정로 115
3rd row전라북도 남원시 남문로 393
4th row전라북도 남원시 시청로 3
5th row전라북도 남원시 남문로 438
ValueCountFrequency (%)
전라북도 33
24.4%
남원시 33
24.4%
남문로 7
 
5.2%
용성로 7
 
5.2%
의총로 5
 
3.7%
시청로 3
 
2.2%
광한서로 3
 
2.2%
충정로 3
 
2.2%
춘향로 2
 
1.5%
3 2
 
1.5%
Other values (33) 37
27.4%
2023-12-12T12:21:48.319090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
19.3%
40
 
7.6%
36
 
6.8%
33
 
6.2%
33
 
6.2%
33
 
6.2%
33
 
6.2%
33
 
6.2%
32
 
6.0%
1 13
 
2.5%
Other values (31) 141
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
64.8%
Space Separator 102
 
19.3%
Decimal Number 81
 
15.3%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
11.7%
36
10.5%
33
9.6%
33
9.6%
33
9.6%
33
9.6%
33
9.6%
32
9.3%
8
 
2.3%
7
 
2.0%
Other values (19) 55
16.0%
Decimal Number
ValueCountFrequency (%)
1 13
16.0%
3 13
16.0%
5 9
11.1%
0 9
11.1%
2 9
11.1%
4 7
8.6%
7 6
7.4%
6 6
7.4%
9 6
7.4%
8 3
 
3.7%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
64.8%
Common 186
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
11.7%
36
10.5%
33
9.6%
33
9.6%
33
9.6%
33
9.6%
33
9.6%
32
9.3%
8
 
2.3%
7
 
2.0%
Other values (19) 55
16.0%
Common
ValueCountFrequency (%)
102
54.8%
1 13
 
7.0%
3 13
 
7.0%
5 9
 
4.8%
0 9
 
4.8%
2 9
 
4.8%
4 7
 
3.8%
7 6
 
3.2%
6 6
 
3.2%
9 6
 
3.2%
Other values (2) 6
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
64.8%
ASCII 186
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
54.8%
1 13
 
7.0%
3 13
 
7.0%
5 9
 
4.8%
0 9
 
4.8%
2 9
 
4.8%
4 7
 
3.8%
7 6
 
3.2%
6 6
 
3.2%
9 6
 
3.2%
Other values (2) 6
 
3.2%
Hangul
ValueCountFrequency (%)
40
11.7%
36
10.5%
33
9.6%
33
9.6%
33
9.6%
33
9.6%
33
9.6%
32
9.3%
8
 
2.3%
7
 
2.0%
Other values (19) 55
16.0%

전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T12:21:48.529408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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

Unique33 ?
Unique (%)100.0%

Sample

1st row063-620-1119
2nd row063-631-0119
3rd row063-636-7975
4th row063-636-7500
5th row063-626-7582
ValueCountFrequency (%)
063-620-1119 1
 
3.0%
063-625-2345 1
 
3.0%
063-636-0664 1
 
3.0%
063-635-2121 1
 
3.0%
063-625-2249 1
 
3.0%
063-632-7272 1
 
3.0%
063-632-9913 1
 
3.0%
063-634-2461 1
 
3.0%
063-632-1733 1
 
3.0%
063-636-2017 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T12:21:48.910510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 86
21.7%
3 74
18.7%
- 66
16.7%
0 46
11.6%
2 42
10.6%
5 18
 
4.5%
1 17
 
4.3%
7 13
 
3.3%
8 13
 
3.3%
9 12
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 86
26.1%
3 74
22.4%
0 46
13.9%
2 42
12.7%
5 18
 
5.5%
1 17
 
5.2%
7 13
 
3.9%
8 13
 
3.9%
9 12
 
3.6%
4 9
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 86
21.7%
3 74
18.7%
- 66
16.7%
0 46
11.6%
2 42
10.6%
5 18
 
4.5%
1 17
 
4.3%
7 13
 
3.3%
8 13
 
3.3%
9 12
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 86
21.7%
3 74
18.7%
- 66
16.7%
0 46
11.6%
2 42
10.6%
5 18
 
4.5%
1 17
 
4.3%
7 13
 
3.3%
8 13
 
3.3%
9 12
 
3.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2022-08-30
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-30
2nd row2022-08-30
3rd row2022-08-30
4th row2022-08-30
5th row2022-08-30

Common Values

ValueCountFrequency (%)
2022-08-30 33
100.0%

Length

2023-12-12T12:21:49.073183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:21:49.184635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-30 33
100.0%

Correlations

2023-12-12T12:21:49.254209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분의료기관명소재지전화번호
구분1.0001.0000.9501.000
의료기관명1.0001.0001.0001.000
소재지0.9501.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T12:21:46.410705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:21:46.537756image/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

구분의료기관명소재지전화번호데이터 기준일자
0종합병원전라북도남원의료원전라북도 남원시 충정로 365063-620-11192022-08-30
1병원남원병원전라북도 남원시 충정로 115063-631-01192022-08-30
2의원남원내과의원전라북도 남원시 남문로 393063-636-79752022-08-30
3의원미래연합의원전라북도 남원시 시청로 3063-636-75002022-08-30
4의원이비뇨기과의원전라북도 남원시 남문로 438063-626-75822022-08-30
5의원임내과의원전라북도 남원시 용성로 113063-632-51142022-08-30
6의원중앙가정의학과의원전라북도 남원시 용성로 79063-625-89772022-08-30
7의원하나의원전라북도 남원시 시청로 59063-625-41462022-08-30
8치과의원양대승치과의원전라북도 남원시 의총로 61063-626-80282022-08-30
9치과의원한치과의원전라북도 남원시 춘향로 21063-632-86862022-08-30
구분의료기관명소재지전화번호데이터 기준일자
23약국삼진약국전라북도 남원시 남문로 436-1063-625-40682022-08-30
24약국새호남약국전라북도 남원시 인월면 인월로 57063-636-20172022-08-30
25약국세계로약국전라북도 남원시 남문로 395063-632-17332022-08-30
26약국수온누리약국전라북도 남원시 남문로 401063-634-24612022-08-30
27약국시장종로약국전라북도 남원시 의총로 43063-632-99132022-08-30
28약국온누리백제약국전라북도 남원시 충정로 370063-632-72722022-08-30
29약국위생약국전라북도 남원시 광한서로 57063-625-22492022-08-30
30약국이백백제약국전라북도 남원시 이백면 문화안길 3063-635-21212022-08-30
31약국인월백제약국전라북도 남원시 인월면 인월로 68063-636-06642022-08-30
32약국지리산약국전라북도 남원시 시청로 5063-633-30072022-08-30