Overview

Dataset statistics

Number of variables12
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory98.1 B

Variable types

Numeric1
Categorical5
Text4
Boolean1
DateTime1

Dataset

Description전북특별자치도 시군별 휴일약국 현황(약국명, 주소, 근무일 등)전북특별자치도 시군별 휴일약국의 이름, 약국에 가입된 전화마다 매겨져 있는 일정한 번호, 어떤 사실이나 사물, 내용 등을 여러 사람에게 널리 터놓을 것인지의 여부 등
Author전북특별자치도
URLhttps://www.data.go.kr/data/15045491/fileData.do

Alerts

근무일 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:57:31.140016
Analysis finished2024-03-14 15:57:32.906655
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.310345
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T00:57:33.190609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.75
Q129.75
median58.5
Q389.25
95-th percentile112.25
Maximum118
Range117
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation34.450068
Coefficient of variation (CV)0.58084417
Kurtosis-1.2212833
Mean59.310345
Median Absolute Deviation (MAD)30
Skewness0.014940414
Sum6880
Variance1186.8072
MonotonicityStrictly increasing
2024-03-15T00:57:33.566497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
76 1
 
0.9%
89 1
 
0.9%
88 1
 
0.9%
87 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
118 1
0.9%
117 1
0.9%
116 1
0.9%
115 1
0.9%
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%

시군명
Categorical

Distinct13
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
전주시
63 
익산시
12 
정읍시
8 
김제시
7 
군산시
 
6
Other values (8)
20 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 63
54.3%
익산시 12
 
10.3%
정읍시 8
 
6.9%
김제시 7
 
6.0%
군산시 6
 
5.2%
부안군 4
 
3.4%
남원시 3
 
2.6%
고창군 3
 
2.6%
임실군 3
 
2.6%
완주군 3
 
2.6%
Other values (3) 4
 
3.4%

Length

2024-03-15T00:57:33.884409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 63
54.3%
익산시 12
 
10.3%
정읍시 8
 
6.9%
김제시 7
 
6.0%
군산시 6
 
5.2%
부안군 4
 
3.4%
남원시 3
 
2.6%
고창군 3
 
2.6%
임실군 3
 
2.6%
완주군 3
 
2.6%
Other values (3) 4
 
3.4%

약국명
Text

Distinct110
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T00:57:35.499949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.7931034
Min length3

Characters and Unicode

Total characters556
Distinct characters140
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

Unique104 ?
Unique (%)89.7%

Sample

1st row문화당약국
2nd row인삼약국
3rd row터미널약국
4th row터미널큰사랑약국
5th row평화약국
ValueCountFrequency (%)
희망약국 2
 
1.7%
수송우리약국 2
 
1.7%
한사랑약국 2
 
1.7%
전주종로약국 2
 
1.7%
세계로약국 2
 
1.7%
녹십자약국 2
 
1.7%
무주약국 1
 
0.9%
남중약국 1
 
0.9%
내장산약국 1
 
0.9%
뉴시장약국 1
 
0.9%
Other values (100) 100
86.2%
2024-03-15T00:57:37.514830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 115
20.7%
국 115
20.7%
전 10
 
1.8%
한 9
 
1.6%
화 8
 
1.4%
주 7
 
1.3%
로 7
 
1.3%
우 7
 
1.3%
종 7
 
1.3%
사 6
 
1.1%
Other values (130) 265
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
98.6%
Decimal Number 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 115
21.0%
국 115
21.0%
전 10
 
1.8%
한 9
 
1.6%
화 8
 
1.5%
주 7
 
1.3%
로 7
 
1.3%
우 7
 
1.3%
종 7
 
1.3%
사 6
 
1.1%
Other values (125) 257
46.9%
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 548
98.6%
Common 8
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 115
21.0%
국 115
21.0%
전 10
 
1.8%
한 9
 
1.6%
화 8
 
1.5%
주 7
 
1.3%
로 7
 
1.3%
우 7
 
1.3%
종 7
 
1.3%
사 6
 
1.1%
Other values (125) 257
46.9%
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 548
98.6%
ASCII 8
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 115
21.0%
국 115
21.0%
전 10
 
1.8%
한 9
 
1.6%
화 8
 
1.5%
주 7
 
1.3%
로 7
 
1.3%
우 7
 
1.3%
종 7
 
1.3%
사 6
 
1.1%
Other values (125) 257
46.9%
ASCII
ValueCountFrequency (%)
3 2
25.0%
6 2
25.0%
5 2
25.0%
2 1
12.5%
1 1
12.5%

도로명주소
Text

Distinct112
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T00:57:38.995064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length17.568966
Min length10

Characters and Unicode

Total characters2038
Distinct characters140
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)94.0%

Sample

1st row전주시 덕진구 가리내로 30
2nd row전주시 덕진구 조경단로 5 (금암동)
3rd row전주시 덕진구 전주천동로 464 (금암동)
4th row전주시 덕진구 전주천동로 475 (금암동)
5th row전주시 완산구 기린대로 11 (교동)
ValueCountFrequency (%)
전주시 63
 
12.9%
완산구 38
 
7.8%
덕진구 25
 
5.1%
익산시 12
 
2.5%
기린대로 9
 
1.8%
정읍시 8
 
1.6%
백제대로 8
 
1.6%
김제시 7
 
1.4%
군산시 6
 
1.2%
서신동 6
 
1.2%
Other values (214) 306
62.7%
2024-03-15T00:57:41.135470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
 
18.3%
로 100
 
4.9%
시 99
 
4.9%
1 85
 
4.2%
주 72
 
3.5%
산 70
 
3.4%
전 67
 
3.3%
동 64
 
3.1%
구 63
 
3.1%
2 55
 
2.7%
Other values (130) 991
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1216
59.7%
Space Separator 372
 
18.3%
Decimal Number 344
 
16.9%
Open Punctuation 53
 
2.6%
Close Punctuation 53
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 100
 
8.2%
시 99
 
8.1%
주 72
 
5.9%
산 70
 
5.8%
전 67
 
5.5%
동 64
 
5.3%
구 63
 
5.2%
완 41
 
3.4%
가 36
 
3.0%
덕 34
 
2.8%
Other values (117) 570
46.9%
Decimal Number
ValueCountFrequency (%)
1 85
24.7%
2 55
16.0%
3 40
11.6%
5 29
 
8.4%
0 27
 
7.8%
4 26
 
7.6%
6 25
 
7.3%
7 22
 
6.4%
9 19
 
5.5%
8 16
 
4.7%
Space Separator
ValueCountFrequency (%)
372
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1216
59.7%
Common 822
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 100
 
8.2%
시 99
 
8.1%
주 72
 
5.9%
산 70
 
5.8%
전 67
 
5.5%
동 64
 
5.3%
구 63
 
5.2%
완 41
 
3.4%
가 36
 
3.0%
덕 34
 
2.8%
Other values (117) 570
46.9%
Common
ValueCountFrequency (%)
372
45.3%
1 85
 
10.3%
2 55
 
6.7%
( 53
 
6.4%
) 53
 
6.4%
3 40
 
4.9%
5 29
 
3.5%
0 27
 
3.3%
4 26
 
3.2%
6 25
 
3.0%
Other values (3) 57
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1216
59.7%
ASCII 822
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
45.3%
1 85
 
10.3%
2 55
 
6.7%
( 53
 
6.4%
) 53
 
6.4%
3 40
 
4.9%
5 29
 
3.5%
0 27
 
3.3%
4 26
 
3.2%
6 25
 
3.0%
Other values (3) 57
 
6.9%
Hangul
ValueCountFrequency (%)
로 100
 
8.2%
시 99
 
8.1%
주 72
 
5.9%
산 70
 
5.8%
전 67
 
5.5%
동 64
 
5.3%
구 63
 
5.2%
완 41
 
3.4%
가 36
 
3.0%
덕 34
 
2.8%
Other values (117) 570
46.9%

전화번호
Text

Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T00:57:42.664458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters1392
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

Unique114 ?
Unique (%)98.3%

Sample

1st row063-277-3567
2nd row063-252-8822
3rd row063-252-5780
4th row063-252-4422
5th row063-277-5290
ValueCountFrequency (%)
063-466-7784 2
 
1.7%
063-535-2384 1
 
0.9%
063-535-3831 1
 
0.9%
063-538-0222 1
 
0.9%
063-843-2851 1
 
0.9%
063-261-8999 1
 
0.9%
063-276-9824 1
 
0.9%
063-261-9908 1
 
0.9%
063-351-3440 1
 
0.9%
063-564-0683 1
 
0.9%
Other values (105) 105
90.5%
2024-03-15T00:57:44.009654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 231
16.6%
3 205
14.7%
6 183
13.1%
0 171
12.3%
2 162
11.6%
5 111
8.0%
4 90
 
6.5%
7 78
 
5.6%
8 69
 
5.0%
1 60
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1161
83.4%
Dash Punctuation 231
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 205
17.7%
6 183
15.8%
0 171
14.7%
2 162
14.0%
5 111
9.6%
4 90
7.8%
7 78
 
6.7%
8 69
 
5.9%
1 60
 
5.2%
9 32
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 231
16.6%
3 205
14.7%
6 183
13.1%
0 171
12.3%
2 162
11.6%
5 111
8.0%
4 90
 
6.5%
7 78
 
5.6%
8 69
 
5.0%
1 60
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 231
16.6%
3 205
14.7%
6 183
13.1%
0 171
12.3%
2 162
11.6%
5 111
8.0%
4 90
 
6.5%
7 78
 
5.6%
8 69
 
5.0%
1 60
 
4.3%

운영시간
Text

Distinct61
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T00:57:45.038869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1276
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)31.9%

Sample

1st row08:00~20:00
2nd row18:00~22:00
3rd row09:00~23:00
4th row14:00~22:00
5th row11:00~20:00
ValueCountFrequency (%)
09:00~17:00 8
 
6.9%
10:00~22:00 6
 
5.2%
09:00~20:00 6
 
5.2%
09:00~22:00 6
 
5.2%
09:00~18:00 5
 
4.3%
09:00~16:00 4
 
3.4%
09:00~13:00 4
 
3.4%
09:00~19:00 4
 
3.4%
08:00~22:00 3
 
2.6%
09:00~14:00 3
 
2.6%
Other values (51) 67
57.8%
2024-03-15T00:57:46.377082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 555
43.5%
: 232
18.2%
~ 116
 
9.1%
1 108
 
8.5%
2 95
 
7.4%
9 57
 
4.5%
3 42
 
3.3%
8 34
 
2.7%
7 17
 
1.3%
4 11
 
0.9%
Other values (2) 9
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 928
72.7%
Other Punctuation 232
 
18.2%
Math Symbol 116
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 555
59.8%
1 108
 
11.6%
2 95
 
10.2%
9 57
 
6.1%
3 42
 
4.5%
8 34
 
3.7%
7 17
 
1.8%
4 11
 
1.2%
6 8
 
0.9%
5 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 232
100.0%
Math Symbol
ValueCountFrequency (%)
~ 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 555
43.5%
: 232
18.2%
~ 116
 
9.1%
1 108
 
8.5%
2 95
 
7.4%
9 57
 
4.5%
3 42
 
3.3%
8 34
 
2.7%
7 17
 
1.3%
4 11
 
0.9%
Other values (2) 9
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 555
43.5%
: 232
18.2%
~ 116
 
9.1%
1 108
 
8.5%
2 95
 
7.4%
9 57
 
4.5%
3 42
 
3.3%
8 34
 
2.7%
7 17
 
1.3%
4 11
 
0.9%
Other values (2) 9
 
0.7%

근무일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
일요일
116 

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 116
100.0%

Length

2024-03-15T00:57:46.799553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:57:47.109655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일요일 116
100.0%

근무주기
Categorical

Distinct9
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
4주연속
46 
<NA>
35 
연중
18 
1주/3주
8 
2주/4주
 
3
Other values (4)
6 

Length

Max length5
Median length4
Mean length3.7068966
Min length2

Unique

Unique3 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
4주연속 46
39.7%
<NA> 35
30.2%
연중 18
 
15.5%
1주/3주 8
 
6.9%
2주/4주 3
 
2.6%
2주 3
 
2.6%
4주 1
 
0.9%
2주/5주 1
 
0.9%
1주 1
 
0.9%

Length

2024-03-15T00:57:47.451250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:57:47.810466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4주연속 46
39.7%
na 35
30.2%
연중 18
 
15.5%
1주/3주 8
 
6.9%
2주/4주 3
 
2.6%
2주 3
 
2.6%
4주 1
 
0.9%
2주/5주 1
 
0.9%
1주 1
 
0.9%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
보건의료과
116 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보건의료과 116
100.0%

Length

2024-03-15T00:57:48.167803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:57:48.346752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건의료과 116
100.0%

공개여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size244.0 B
True
116 
ValueCountFrequency (%)
True 116
100.0%
2024-03-15T00:57:48.476935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

작성일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2015-10-01 00:00:00
Maximum2015-10-01 00:00:00
2024-03-15T00:57:48.815389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:57:49.007893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
수시
116 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 116
100.0%

Length

2024-03-15T00:57:49.342777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:57:49.502530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 116
100.0%

Interactions

2024-03-15T00:57:31.744576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:57:49.601526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명운영시간근무주기
순번1.0000.6000.4040.483
시군명0.6001.0000.0000.375
운영시간0.4040.0001.0000.000
근무주기0.4830.3750.0001.000
2024-03-15T00:57:49.755662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명근무주기
시군명1.0000.182
근무주기0.1821.000
2024-03-15T00:57:49.895330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명근무주기
순번1.0000.2930.249
시군명0.2931.0000.182
근무주기0.2490.1821.000

Missing values

2024-03-15T00:57:32.124004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:57:32.659347image/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

순번시군명약국명도로명주소전화번호운영시간근무일근무주기자료출처공개여부작성일갱신주기
01전주시문화당약국전주시 덕진구 가리내로 30063-277-356708:00~20:00일요일4주연속보건의료과Y2015-10-01수시
12전주시인삼약국전주시 덕진구 조경단로 5 (금암동)063-252-882218:00~22:00일요일4주연속보건의료과Y2015-10-01수시
23전주시터미널약국전주시 덕진구 전주천동로 464 (금암동)063-252-578009:00~23:00일요일4주연속보건의료과Y2015-10-01수시
34전주시터미널큰사랑약국전주시 덕진구 전주천동로 475 (금암동)063-252-442214:00~22:00일요일4주연속보건의료과Y2015-10-01수시
45전주시평화약국전주시 완산구 기린대로 11 (교동)063-277-529011:00~20:00일요일4주연속보건의료과Y2015-10-01수시
56전주시태창약국전주시 덕진구 공북로 29 (진북동)063-273-234509:00~17:00일요일2주/4주보건의료과Y2015-10-01수시
67전주시덕수약국전주시 덕진구 덕진광장로 8 (덕진동1가)063-252-068309:00~21:30일요일4주연속보건의료과Y2015-10-01수시
78전주시메디칼약국전주시 덕진구 붓내3길 24 (송천동2가)063-255-920017:00~21:00일요일2주보건의료과Y2015-10-01수시
89전주시송천우리약국전주시 덕진구 송천중앙로 207 (송천동1가)063-273-367709:00~17:00일요일4주연속보건의료과Y2015-10-01수시
910전주시원약국전주시 덕진구 기린대로 4711 (덕진동1가)063-254-757217:00~22:00일요일1주/3주보건의료과Y2015-10-01수시
순번시군명약국명도로명주소전화번호운영시간근무일근무주기자료출처공개여부작성일갱신주기
106109고창군진약국고창군 흥덕면 선운대로 3728063-562-633308:00~18:00일요일<NA>보건의료과Y2015-10-01수시
107110정읍시천일약국정읍시 새암길 47063-535-237708:00~16:00일요일연중보건의료과Y2015-10-01수시
108111정읍시큰사랑약국정읍시 남북로 39063-535-526809:00~10:00일요일<NA>보건의료과Y2015-10-01수시
109112부안군프라자약국부안군 부안읍 번영로 156063-581-115708:30~12:00일요일<NA>보건의료과Y2015-10-01수시
110113군산시하나약국군산시 공단대로 388063-465-455509:00~18:00일요일<NA>보건의료과Y2015-10-01수시
111114군산시하늘약국군산시 수송안길 50063-466-876309:00~18:00일요일연중보건의료과Y2015-10-01수시
112115익산시한마음약국익산시 무왕로 1122 대광빌딩063-832-645009:00~13:00일요일<NA>보건의료과Y2015-10-01수시
113116부안군한사랑약국부안군 부안읍 오정2길 23063-581-130009:00~22:00일요일연중보건의료과Y2015-10-01수시
114117김제시화타약국김제시 동서로 241063-542-815509:00~20:00일요일<NA>보건의료과Y2015-10-01수시
115118임실군희망약국임실군 임실읍 봉황로 2031063-644-420008:00~16:00일요일<NA>보건의료과Y2015-10-01수시