Overview

Dataset statistics

Number of variables7
Number of observations118
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory57.1 B

Variable types

Text4
Categorical3

Dataset

Description전북특별자치도 시군별 휴일지킴이약국입니다.전북특별자치도 시군별 휴일지킴이 약국의 진료일 등우리기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15045490/fileData.do

Alerts

진료일 has constant value ""Constant

Reproduction

Analysis started2024-03-14 09:18:02.321457
Analysis finished2024-03-14 09:18:03.409412
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

Distinct112
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T18:18:04.430855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.7966102
Min length3

Characters and Unicode

Total characters566
Distinct characters142
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

Unique106 ?
Unique (%)89.8%

Sample

1st row365열린약국
2nd row고약국
3rd row덕수약국
4th row동산종로약국
5th row메디칼약국
ValueCountFrequency (%)
녹십자약국 2
 
1.7%
희망약국 2
 
1.7%
수송우리약국 2
 
1.7%
세계로약국 2
 
1.7%
전주종로약국 2
 
1.7%
한사랑약국 2
 
1.7%
익산고려종합약국 1
 
0.8%
약손약국 1
 
0.8%
왕궁온천약국 1
 
0.8%
우성약국 1
 
0.8%
Other values (102) 102
86.4%
2024-03-14T18:18:05.771043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 117
20.7%
국 117
20.7%
한 10
 
1.8%
전 10
 
1.8%
종 8
 
1.4%
로 8
 
1.4%
화 8
 
1.4%
우 7
 
1.2%
주 7
 
1.2%
사 6
 
1.1%
Other values (132) 268
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
98.6%
Decimal Number 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 117
21.0%
국 117
21.0%
한 10
 
1.8%
전 10
 
1.8%
종 8
 
1.4%
로 8
 
1.4%
화 8
 
1.4%
우 7
 
1.3%
주 7
 
1.3%
사 6
 
1.1%
Other values (127) 260
46.6%
Decimal Number
ValueCountFrequency (%)
3 2
25.0%
6 2
25.0%
5 2
25.0%
2 1
12.5%
1 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 558
98.6%
Common 8
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 117
21.0%
국 117
21.0%
한 10
 
1.8%
전 10
 
1.8%
종 8
 
1.4%
로 8
 
1.4%
화 8
 
1.4%
우 7
 
1.3%
주 7
 
1.3%
사 6
 
1.1%
Other values (127) 260
46.6%
Common
ValueCountFrequency (%)
3 2
25.0%
6 2
25.0%
5 2
25.0%
2 1
12.5%
1 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
98.6%
ASCII 8
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 117
21.0%
국 117
21.0%
한 10
 
1.8%
전 10
 
1.8%
종 8
 
1.4%
로 8
 
1.4%
화 8
 
1.4%
우 7
 
1.3%
주 7
 
1.3%
사 6
 
1.1%
Other values (127) 260
46.6%
ASCII
ValueCountFrequency (%)
3 2
25.0%
6 2
25.0%
5 2
25.0%
2 1
12.5%
1 1
12.5%

소재지시군명
Categorical

Distinct13
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
전라북도 전주시
64 
전라북도 익산시
12 
전라북도 정읍시
8 
전라북도 군산시
7 
전라북도 김제시
7 
Other values (8)
20 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row전라북도 전주시
2nd row전라북도 전주시
3rd row전라북도 전주시
4th row전라북도 전주시
5th row전라북도 전주시

Common Values

ValueCountFrequency (%)
전라북도 전주시 64
54.2%
전라북도 익산시 12
 
10.2%
전라북도 정읍시 8
 
6.8%
전라북도 군산시 7
 
5.9%
전라북도 김제시 7
 
5.9%
전라북도 부안군 4
 
3.4%
전라북도 남원시 3
 
2.5%
전라북도 완주군 3
 
2.5%
전라북도 임실군 3
 
2.5%
전라북도 고창군 3
 
2.5%
Other values (3) 4
 
3.4%

Length

2024-03-14T18:18:06.001572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 118
50.0%
전주시 64
27.1%
익산시 12
 
5.1%
정읍시 8
 
3.4%
군산시 7
 
3.0%
김제시 7
 
3.0%
부안군 4
 
1.7%
남원시 3
 
1.3%
완주군 3
 
1.3%
임실군 3
 
1.3%
Other values (4) 7
 
3.0%

소재지도로명주소
Text

Distinct114
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T18:18:07.230984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length22.728814
Min length15

Characters and Unicode

Total characters2682
Distinct characters143
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

Unique111 ?
Unique (%)94.1%

Sample

1st row전라북도 전주시 덕진구 백제대로 630-1 (금암동)
2nd row전라북도 전주시 덕진구 신복5길 5 (팔복동1가)
3rd row전라북도 전주시 덕진구 덕진광장로 8 (덕진동1가)
4th row전라북도 전주시 덕진구 편운로 6 (동산동)
5th row전라북도 전주시 덕진구 붓내3길 24 (송천동2가)
ValueCountFrequency (%)
전라북도 118
 
19.2%
전주시 64
 
10.4%
완산구 39
 
6.3%
덕진구 25
 
4.1%
익산시 12
 
2.0%
기린대로 9
 
1.5%
정읍시 8
 
1.3%
백제대로 8
 
1.3%
군산시 7
 
1.1%
김제시 7
 
1.1%
Other values (219) 318
51.7%
2024-03-14T18:18:09.072958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
498
18.6%
전 187
 
7.0%
북 125
 
4.7%
도 118
 
4.4%
라 118
 
4.4%
로 102
 
3.8%
시 101
 
3.8%
1 86
 
3.2%
주 73
 
2.7%
산 72
 
2.7%
Other values (133) 1202
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1710
63.8%
Space Separator 498
 
18.6%
Decimal Number 351
 
13.1%
Close Punctuation 55
 
2.1%
Open Punctuation 55
 
2.1%
Dash Punctuation 13
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 187
 
10.9%
북 125
 
7.3%
도 118
 
6.9%
라 118
 
6.9%
로 102
 
6.0%
시 101
 
5.9%
주 73
 
4.3%
산 72
 
4.2%
동 66
 
3.9%
구 64
 
3.7%
Other values (119) 684
40.0%
Decimal Number
ValueCountFrequency (%)
1 86
24.5%
2 58
16.5%
3 40
11.4%
5 29
 
8.3%
0 28
 
8.0%
4 27
 
7.7%
6 25
 
7.1%
7 23
 
6.6%
9 19
 
5.4%
8 16
 
4.6%
Space Separator
ValueCountFrequency (%)
498
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1710
63.8%
Common 972
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 187
 
10.9%
북 125
 
7.3%
도 118
 
6.9%
라 118
 
6.9%
로 102
 
6.0%
시 101
 
5.9%
주 73
 
4.3%
산 72
 
4.2%
동 66
 
3.9%
구 64
 
3.7%
Other values (119) 684
40.0%
Common
ValueCountFrequency (%)
498
51.2%
1 86
 
8.8%
2 58
 
6.0%
) 55
 
5.7%
( 55
 
5.7%
3 40
 
4.1%
5 29
 
3.0%
0 28
 
2.9%
4 27
 
2.8%
6 25
 
2.6%
Other values (4) 71
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1710
63.8%
ASCII 972
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
498
51.2%
1 86
 
8.8%
2 58
 
6.0%
) 55
 
5.7%
( 55
 
5.7%
3 40
 
4.1%
5 29
 
3.0%
0 28
 
2.9%
4 27
 
2.8%
6 25
 
2.6%
Other values (4) 71
 
7.3%
Hangul
ValueCountFrequency (%)
전 187
 
10.9%
북 125
 
7.3%
도 118
 
6.9%
라 118
 
6.9%
로 102
 
6.0%
시 101
 
5.9%
주 73
 
4.3%
산 72
 
4.2%
동 66
 
3.9%
구 64
 
3.7%
Other values (119) 684
40.0%

전화번호
Text

Distinct117
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T18:18:09.970358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016949
Min length12

Characters and Unicode

Total characters1418
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

Unique116 ?
Unique (%)98.3%

Sample

1st row063-276-8576
2nd row063-211-0706
3rd row063-252-0683
4th row063-211-3286
5th row063-255-9200
ValueCountFrequency (%)
063-466-7784 2
 
1.7%
063-277-5290 1
 
0.8%
063-857-7100 1
 
0.8%
063-534-4053 1
 
0.8%
063-535-2384 1
 
0.8%
063-538-0222 1
 
0.8%
063-538-7755 1
 
0.8%
063-535-3831 1
 
0.8%
063-832-6450 1
 
0.8%
063-859-8067 1
 
0.8%
Other values (107) 107
90.7%
2024-03-14T18:18:11.115324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 236
16.6%
3 209
14.7%
6 183
12.9%
0 175
12.3%
2 162
11.4%
5 116
8.2%
4 92
 
6.5%
7 80
 
5.6%
8 71
 
5.0%
1 62
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1182
83.4%
Dash Punctuation 236
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 209
17.7%
6 183
15.5%
0 175
14.8%
2 162
13.7%
5 116
9.8%
4 92
7.8%
7 80
 
6.8%
8 71
 
6.0%
1 62
 
5.2%
9 32
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 236
16.6%
3 209
14.7%
6 183
12.9%
0 175
12.3%
2 162
11.4%
5 116
8.2%
4 92
 
6.5%
7 80
 
5.6%
8 71
 
5.0%
1 62
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 236
16.6%
3 209
14.7%
6 183
12.9%
0 175
12.3%
2 162
11.4%
5 116
8.2%
4 92
 
6.5%
7 80
 
5.6%
8 71
 
5.0%
1 62
 
4.4%

진료일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
일요일
118 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일요일 118
100.0%

Length

2024-03-14T18:18:11.530816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:18:11.826804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일요일 118
100.0%

근무시간
Text

Distinct76
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T18:18:12.558222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.915254
Min length11

Characters and Unicode

Total characters1406
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)44.1%

Sample

1st row10:00~20:00
2nd row09:00~22:00
3rd row09:00~21:30
4th row10:30~20:00
5th row17:00~21:00
ValueCountFrequency (%)
54
23.9%
09:00 28
 
12.4%
22:00 12
 
5.3%
08:00 10
 
4.4%
18:00 7
 
3.1%
10:00 7
 
3.1%
13:00 6
 
2.7%
20:00 6
 
2.7%
17:00 5
 
2.2%
09:00~17:00 5
 
2.2%
Other values (58) 86
38.1%
2024-03-14T18:18:13.581505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 565
40.2%
: 236
16.8%
~ 118
 
8.4%
1 110
 
7.8%
108
 
7.7%
2 97
 
6.9%
9 58
 
4.1%
3 43
 
3.1%
8 34
 
2.4%
7 17
 
1.2%
Other values (3) 20
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 944
67.1%
Other Punctuation 236
 
16.8%
Math Symbol 118
 
8.4%
Space Separator 108
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 565
59.9%
1 110
 
11.7%
2 97
 
10.3%
9 58
 
6.1%
3 43
 
4.6%
8 34
 
3.6%
7 17
 
1.8%
4 11
 
1.2%
6 8
 
0.8%
5 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 236
100.0%
Math Symbol
ValueCountFrequency (%)
~ 118
100.0%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 565
40.2%
: 236
16.8%
~ 118
 
8.4%
1 110
 
7.8%
108
 
7.7%
2 97
 
6.9%
9 58
 
4.1%
3 43
 
3.1%
8 34
 
2.4%
7 17
 
1.2%
Other values (3) 20
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 565
40.2%
: 236
16.8%
~ 118
 
8.4%
1 110
 
7.8%
108
 
7.7%
2 97
 
6.9%
9 58
 
4.1%
3 43
 
3.1%
8 34
 
2.4%
7 17
 
1.2%
Other values (3) 20
 
1.4%

근무주일
Categorical

Distinct11
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
4주연속
46 
<NA>
36 
연중
18 
1,3주
6 
2주
 
3
Other values (6)
9 

Length

Max length5
Median length4
Mean length3.6610169
Min length2

Unique

Unique4 ?
Unique (%)3.4%

Sample

1st row4주연속
2nd row4주
3rd row4주연속
4th row4주연속
5th row2주

Common Values

ValueCountFrequency (%)
4주연속 46
39.0%
<NA> 36
30.5%
연중 18
 
15.3%
1,3주 6
 
5.1%
2주 3
 
2.5%
1주/3주 3
 
2.5%
2주/4주 2
 
1.7%
4주 1
 
0.8%
1주 1
 
0.8%
2,4주 1
 
0.8%

Length

2024-03-14T18:18:13.817120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4주연속 46
39.0%
na 36
30.5%
연중 18
 
15.3%
1,3주 6
 
5.1%
2주 3
 
2.5%
1주/3주 3
 
2.5%
2주/4주 2
 
1.7%
4주 1
 
0.8%
1주 1
 
0.8%
2,4주 1
 
0.8%

Correlations

2024-03-14T18:18:13.952600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지시군명근무시간근무주일
소재지시군명1.0000.0000.126
근무시간0.0001.0000.000
근무주일0.1260.0001.000
2024-03-14T18:18:14.105227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
근무주일소재지시군명
근무주일1.0000.000
소재지시군명0.0001.000
2024-03-14T18:18:14.361954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지시군명근무주일
소재지시군명1.0000.000
근무주일0.0001.000

Missing values

2024-03-14T18:18:02.866437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:18:03.257500image/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

명칭소재지시군명소재지도로명주소전화번호진료일근무시간근무주일
0365열린약국전라북도 전주시전라북도 전주시 덕진구 백제대로 630-1 (금암동)063-276-8576일요일10:00~20:004주연속
1고약국전라북도 전주시전라북도 전주시 덕진구 신복5길 5 (팔복동1가)063-211-0706일요일09:00~22:004주
2덕수약국전라북도 전주시전라북도 전주시 덕진구 덕진광장로 8 (덕진동1가)063-252-0683일요일09:00~21:304주연속
3동산종로약국전라북도 전주시전라북도 전주시 덕진구 편운로 6 (동산동)063-211-3286일요일10:30~20:004주연속
4메디칼약국전라북도 전주시전라북도 전주시 덕진구 붓내3길 24 (송천동2가)063-255-9200일요일17:00~21:002주
5모래내녹십자전라북도 전주시전라북도 전주시 덕진구 안덕원로 159063-255-4004일요일09:30~20:304주연속
6모래내태평양약국전라북도 전주시전라북도 전주시 덕진구 안덕원로 156 (인후동2가)063-274-1188일요일10:00~19:001주/3주
7문화당약국전라북도 전주시전라북도 전주시 덕진구 가리내로 30063-277-3567일요일08:00~20:004주연속
8보령약국전라북도 전주시전라북도 전주시 덕진구 무삼지로 77 (인후동1가)063-246-5050일요일09:00~16:001주
9새평화약국전라북도 전주시전라북도 전주시 덕진구 안덕원로 261 (인후동1가)063-241-5094일요일09:30~22:004주연속
명칭소재지시군명소재지도로명주소전화번호진료일근무시간근무주일
108임실약국전라북도 임실군전라북도 임실군 임실읍 봉황로 139063-642-5535일요일09:00 ~ 17:00<NA>
109희망약국전라북도 임실군전라북도 임실군 임실읍 봉황로 203-1063-644-4200일요일08:00 ~ 16:00<NA>
110순창약국전라북도 순창군전라북도 순창군 순창읍 순창로 228063-653-4144일요일08:00 ~ 17:30<NA>
111김약국전라북도 고창군전라북도 고창군 고창읍 보릿골로 8063-564-2159일요일17:00 ~ 22:00<NA>
112백제약국전라북도 고창군전라북도 고창군 고창읍 중앙로 215063-564-0683일요일09:00 ~ 17:00<NA>
113진약국전라북도 고창군전라북도 고창군 흥덕면 선운대로 3728063-562-6333일요일08:00 ~ 18:00<NA>
114국민약국전라북도 부안군전라북도 부안군 변산면 격포항길 9063-583-8010일요일08:30 ~ 22:00연중
115선인약국전라북도 부안군전라북도 부안군 부안읍 번영로 155063-584-6153일요일09:00 ~ 18:00<NA>
116프라자약국전라북도 부안군전라북도 부안군 부안읍 번영로 156063-581-1157일요일08:30 ~ 12:00<NA>
117한사랑약국전라북도 부안군전라북도 부안군 부안읍 오정2길 23063-581-1300일요일09:00 ~ 22:00연중