Overview

Dataset statistics

Number of variables9
Number of observations40
Missing cells39
Missing cells (%)10.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory76.3 B

Variable types

Numeric1
Text5
Categorical3

Dataset

Description문경시 소재 약국 현황에 대한 데이터로 약국 명칭, 약국 소재지, 약국 전화번호 등의 항목을 제공합니다. (약국 명칭, 소재지, 전화번호)
Author경상북도 문경시
URLhttps://www.data.go.kr/data/3048509/fileData.do

Alerts

비고 has constant value ""Constant
공휴일 운영시간 is highly overall correlated with 주중 운영 시간 and 1 other fieldsHigh correlation
일요일 운영시간 is highly overall correlated with 주중 운영 시간 and 1 other fieldsHigh correlation
주중 운영 시간 is highly overall correlated with 일요일 운영시간 and 1 other fieldsHigh correlation
일요일 운영시간 is highly imbalanced (55.4%)Imbalance
공휴일 운영시간 is highly imbalanced (52.5%)Imbalance
비고 has 39 (97.5%) missing valuesMissing
순번 has unique valuesUnique
약국명칭 has unique valuesUnique
약국전화번호 has unique valuesUnique
약국소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:44:43.362094
Analysis finished2023-12-12 03:44:44.351178
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T12:44:44.452488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-12T12:44:44.643890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

약국명칭
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:44:44.946749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.75
Min length3

Characters and Unicode

Total characters190
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row동아온누리약국
2nd row시민약국
3rd row문경새재약국
4th row나나약국
5th row용한약국
ValueCountFrequency (%)
동아온누리약국 1
 
2.5%
시민약국 1
 
2.5%
김약국 1
 
2.5%
종합약국 1
 
2.5%
청솔약국 1
 
2.5%
태평양약국 1
 
2.5%
조은약국 1
 
2.5%
세계약국 1
 
2.5%
홍화약국 1
 
2.5%
서울약국 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T12:44:45.471905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
21.1%
40
21.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (65) 82
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
21.1%
40
21.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (65) 82
43.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
21.1%
40
21.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (65) 82
43.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
21.1%
40
21.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (65) 82
43.2%

약국전화번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:44:45.757605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique40 ?
Unique (%)100.0%

Sample

1st row054-555-2786
2nd row054-555-7779
3rd row054-572-5800
4th row054-553-4456
5th row054-000-0000
ValueCountFrequency (%)
054-555-2786 1
 
2.5%
054-555-7779 1
 
2.5%
054-555-2533 1
 
2.5%
054-555-5301 1
 
2.5%
054-556-0999 1
 
2.5%
054-552-8008 1
 
2.5%
054-556-8275 1
 
2.5%
054-555-4890 1
 
2.5%
054-571-5809 1
 
2.5%
054-556-5577 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T12:44:46.161364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 144
30.0%
- 80
16.7%
0 71
14.8%
4 57
 
11.9%
7 24
 
5.0%
6 24
 
5.0%
2 20
 
4.2%
3 19
 
4.0%
1 15
 
3.1%
8 13
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 144
36.0%
0 71
17.8%
4 57
 
14.2%
7 24
 
6.0%
6 24
 
6.0%
2 20
 
5.0%
3 19
 
4.8%
1 15
 
3.8%
8 13
 
3.2%
9 13
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 144
30.0%
- 80
16.7%
0 71
14.8%
4 57
 
11.9%
7 24
 
5.0%
6 24
 
5.0%
2 20
 
4.2%
3 19
 
4.0%
1 15
 
3.1%
8 13
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 144
30.0%
- 80
16.7%
0 71
14.8%
4 57
 
11.9%
7 24
 
5.0%
6 24
 
5.0%
2 20
 
4.2%
3 19
 
4.0%
1 15
 
3.1%
8 13
 
2.7%
Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:44:46.469839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length22.15
Min length19

Characters and Unicode

Total characters886
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row경상북도 문경시 중앙로 117-15 (점촌동)
2nd row경상북도 문경시 상신로 3, 1층 (점촌동)
3rd row경상북도 문경시 문경읍 문희로 37, 1층
4th row경상북도 문경시 매봉6길 4-5 (모전동)
5th row경상북도 문경시 농암면 갈동길 446-13
ValueCountFrequency (%)
경상북도 40
19.6%
문경시 40
19.6%
중앙로 16
 
7.8%
점촌동 16
 
7.8%
모전동 8
 
3.9%
흥덕동 8
 
3.9%
문경읍 4
 
2.0%
3 3
 
1.5%
당교3길 3
 
1.5%
문희로 3
 
1.5%
Other values (55) 63
30.9%
2023-12-12T12:44:46.905413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
18.5%
84
 
9.5%
47
 
5.3%
42
 
4.7%
41
 
4.6%
40
 
4.5%
40
 
4.5%
) 33
 
3.7%
33
 
3.7%
( 33
 
3.7%
Other values (47) 329
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
59.7%
Space Separator 164
 
18.5%
Decimal Number 117
 
13.2%
Close Punctuation 33
 
3.7%
Open Punctuation 33
 
3.7%
Dash Punctuation 7
 
0.8%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
84
15.9%
47
 
8.9%
42
 
7.9%
41
 
7.8%
40
 
7.6%
40
 
7.6%
33
 
6.2%
29
 
5.5%
18
 
3.4%
18
 
3.4%
Other values (32) 137
25.9%
Decimal Number
ValueCountFrequency (%)
1 29
24.8%
3 19
16.2%
2 16
13.7%
4 14
12.0%
8 10
 
8.5%
5 7
 
6.0%
6 7
 
6.0%
9 6
 
5.1%
0 5
 
4.3%
7 4
 
3.4%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
59.7%
Common 357
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
84
15.9%
47
 
8.9%
42
 
7.9%
41
 
7.8%
40
 
7.6%
40
 
7.6%
33
 
6.2%
29
 
5.5%
18
 
3.4%
18
 
3.4%
Other values (32) 137
25.9%
Common
ValueCountFrequency (%)
164
45.9%
) 33
 
9.2%
( 33
 
9.2%
1 29
 
8.1%
3 19
 
5.3%
2 16
 
4.5%
4 14
 
3.9%
8 10
 
2.8%
- 7
 
2.0%
5 7
 
2.0%
Other values (5) 25
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
59.7%
ASCII 357
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
45.9%
) 33
 
9.2%
( 33
 
9.2%
1 29
 
8.1%
3 19
 
5.3%
2 16
 
4.5%
4 14
 
3.9%
8 10
 
2.8%
- 7
 
2.0%
5 7
 
2.0%
Other values (5) 25
 
7.0%
Hangul
ValueCountFrequency (%)
84
15.9%
47
 
8.9%
42
 
7.9%
41
 
7.8%
40
 
7.6%
40
 
7.6%
33
 
6.2%
29
 
5.5%
18
 
3.4%
18
 
3.4%
Other values (32) 137
25.9%

주중 운영 시간
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
09:00~18:00
08:30~18:30
08:30~19:00
08:30~19:30
08:30~18:00
Other values (13)
15 

Length

Max length12
Median length11
Mean length11.025
Min length11

Unique

Unique11 ?
Unique (%)27.5%

Sample

1st row08:30~18:30
2nd row08:30~18:30
3rd row08:00~19:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
09:00~18:00 9
22.5%
08:30~18:30 7
17.5%
08:30~19:00 5
12.5%
08:30~19:30 2
 
5.0%
08:30~18:00 2
 
5.0%
08:00~19:00 2
 
5.0%
08:00~18:00 2
 
5.0%
08:40~18:30 1
 
2.5%
080:00~19:30 1
 
2.5%
09:00~21:00 1
 
2.5%
Other values (8) 8
20.0%

Length

2023-12-12T12:44:47.094728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00~18:00 9
22.5%
08:30~18:30 7
17.5%
08:30~19:00 5
12.5%
08:30~19:30 2
 
5.0%
08:30~18:00 2
 
5.0%
08:00~19:00 2
 
5.0%
08:00~18:00 2
 
5.0%
08:00~20:00 1
 
2.5%
08:35~17:40 1
 
2.5%
09:00~19:00 1
 
2.5%
Other values (8) 8
20.0%
Distinct25
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:44:47.336804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.8
Min length2

Characters and Unicode

Total characters432
Distinct characters14
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

Unique20 ?
Unique (%)50.0%

Sample

1st row08:30~13:00
2nd row08:30~13:00
3rd row09:00~18:00
4th row09:00~12:30
5th row휴무
ValueCountFrequency (%)
08:30~13:00 9
22.5%
09:00~13:00 4
 
10.0%
08:30~14:00 3
 
7.5%
09:00~12:30 2
 
5.0%
08:00~13:00 2
 
5.0%
09:00~17:00 1
 
2.5%
08:40~13:00 1
 
2.5%
08:35~13:00 1
 
2.5%
09:00~19:00 1
 
2.5%
08:00~12:00 1
 
2.5%
Other values (15) 15
37.5%
2023-12-12T12:44:47.772139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 171
39.6%
: 78
18.1%
3 39
 
9.0%
~ 39
 
9.0%
1 38
 
8.8%
8 27
 
6.2%
9 15
 
3.5%
2 8
 
1.9%
4 6
 
1.4%
5 5
 
1.2%
Other values (4) 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
72.5%
Other Punctuation 78
 
18.1%
Math Symbol 39
 
9.0%
Other Letter 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171
54.6%
3 39
 
12.5%
1 38
 
12.1%
8 27
 
8.6%
9 15
 
4.8%
2 8
 
2.6%
4 6
 
1.9%
5 5
 
1.6%
6 3
 
1.0%
7 1
 
0.3%
Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%
Other Punctuation
ValueCountFrequency (%)
: 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 430
99.5%
Hangul 2
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 171
39.8%
: 78
18.1%
3 39
 
9.1%
~ 39
 
9.1%
1 38
 
8.8%
8 27
 
6.3%
9 15
 
3.5%
2 8
 
1.9%
4 6
 
1.4%
5 5
 
1.2%
Other values (2) 4
 
0.9%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 430
99.5%
Hangul 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171
39.8%
: 78
18.1%
3 39
 
9.1%
~ 39
 
9.1%
1 38
 
8.8%
8 27
 
6.3%
9 15
 
3.5%
2 8
 
1.9%
4 6
 
1.4%
5 5
 
1.2%
Other values (2) 4
 
0.9%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

일요일 운영시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
휴무
31 
09:00~18:00
 
1
09:00~21:00
 
1
09:30~16:00
 
1
12:30~21:00
 
1
Other values (5)

Length

Max length11
Median length2
Mean length4.025
Min length2

Unique

Unique9 ?
Unique (%)22.5%

Sample

1st row휴무
2nd row휴무
3rd row09:00~18:00
4th row휴무
5th row휴무

Common Values

ValueCountFrequency (%)
휴무 31
77.5%
09:00~18:00 1
 
2.5%
09:00~21:00 1
 
2.5%
09:30~16:00 1
 
2.5%
12:30~21:00 1
 
2.5%
08:30~13:00 1
 
2.5%
08:00~22:00 1
 
2.5%
08:00~12:00 1
 
2.5%
09:00~19:00 1
 
2.5%
08:00~19:30 1
 
2.5%

Length

2023-12-12T12:44:47.976491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:44:48.110086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴무 31
77.5%
09:00~18:00 1
 
2.5%
09:00~21:00 1
 
2.5%
09:30~16:00 1
 
2.5%
12:30~21:00 1
 
2.5%
08:30~13:00 1
 
2.5%
08:00~22:00 1
 
2.5%
08:00~12:00 1
 
2.5%
09:00~19:00 1
 
2.5%
08:00~19:30 1
 
2.5%

공휴일 운영시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
휴무
30 
09:00~18:00
 
1
09:00~21:00
 
1
08:30~21:00
 
1
09:00~16:00
 
1
Other values (6)

Length

Max length11
Median length2
Mean length4.25
Min length2

Unique

Unique10 ?
Unique (%)25.0%

Sample

1st row휴무
2nd row휴무
3rd row09:00~18:00
4th row휴무
5th row휴무

Common Values

ValueCountFrequency (%)
휴무 30
75.0%
09:00~18:00 1
 
2.5%
09:00~21:00 1
 
2.5%
08:30~21:00 1
 
2.5%
09:00~16:00 1
 
2.5%
09:00~12:00 1
 
2.5%
08:30~19:30 1
 
2.5%
08:00~22:00 1
 
2.5%
08:00~12:00 1
 
2.5%
09:00~19:00 1
 
2.5%

Length

2023-12-12T12:44:48.287434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴무 30
75.0%
09:00~18:00 1
 
2.5%
09:00~21:00 1
 
2.5%
08:30~21:00 1
 
2.5%
09:00~16:00 1
 
2.5%
09:00~12:00 1
 
2.5%
08:30~19:30 1
 
2.5%
08:00~22:00 1
 
2.5%
08:00~12:00 1
 
2.5%
09:00~19:00 1
 
2.5%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing39
Missing (%)97.5%
Memory size452.0 B
2023-12-12T12:44:48.461409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters10
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

Unique1 ?
Unique (%)100.0%

Sample

1st row2,4주 토요일 휴무
ValueCountFrequency (%)
2,4주 1
33.3%
토요일 1
33.3%
휴무 1
33.3%
2023-12-12T12:44:48.806993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
18.2%
2 1
9.1%
, 1
9.1%
4 1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
54.5%
Space Separator 2
 
18.2%
Decimal Number 2
 
18.2%
Other Punctuation 1
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
54.5%
Common 5
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Common
ValueCountFrequency (%)
2
40.0%
2 1
20.0%
, 1
20.0%
4 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
54.5%
ASCII 5
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
40.0%
2 1
20.0%
, 1
20.0%
4 1
20.0%
Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Interactions

2023-12-12T12:44:43.878147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:44:48.925545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번약국명칭약국전화번호약국소재지(도로명)주중 운영 시간토요일 운영시간일요일 운영시간공휴일 운영시간
순번1.0001.0001.0001.0000.7490.6000.2800.200
약국명칭1.0001.0001.0001.0001.0001.0001.0001.000
약국전화번호1.0001.0001.0001.0001.0001.0001.0001.000
약국소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
주중 운영 시간0.7491.0001.0001.0001.0000.9830.9670.972
토요일 운영시간0.6001.0001.0001.0000.9831.0001.0001.000
일요일 운영시간0.2801.0001.0001.0000.9671.0001.0000.982
공휴일 운영시간0.2001.0001.0001.0000.9721.0000.9821.000
2023-12-12T12:44:49.102217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공휴일 운영시간주중 운영 시간일요일 운영시간
공휴일 운영시간1.0000.7420.907
주중 운영 시간0.7421.0000.717
일요일 운영시간0.9070.7171.000
2023-12-12T12:44:49.241084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번주중 운영 시간일요일 운영시간공휴일 운영시간
순번1.0000.3290.0230.000
주중 운영 시간0.3291.0000.7170.742
일요일 운영시간0.0230.7171.0000.907
공휴일 운영시간0.0000.7420.9071.000

Missing values

2023-12-12T12:44:44.062420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:44:44.279135image/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

순번약국명칭약국전화번호약국소재지(도로명)주중 운영 시간토요일 운영시간일요일 운영시간공휴일 운영시간비고
01동아온누리약국054-555-2786경상북도 문경시 중앙로 117-15 (점촌동)08:30~18:3008:30~13:00휴무휴무<NA>
12시민약국054-555-7779경상북도 문경시 상신로 3, 1층 (점촌동)08:30~18:3008:30~13:00휴무휴무<NA>
23문경새재약국054-572-5800경상북도 문경시 문경읍 문희로 37, 1층08:00~19:0009:00~18:0009:00~18:0009:00~18:00<NA>
34나나약국054-553-4456경상북도 문경시 매봉6길 4-5 (모전동)09:00~18:0009:00~12:30휴무휴무<NA>
45용한약국054-000-0000경상북도 문경시 농암면 갈동길 446-1309:00~18:00휴무휴무휴무<NA>
56청기와약국054-571-8275경상북도 문경시 문경읍 주흘로 41080:00~19:30080:00~15:00휴무휴무<NA>
67백화점약국054-554-1323경상북도 문경시 영신로 3 (점촌동)09:00~21:0009:00~21:0009:00~21:0009:00~21:00<NA>
78아름다운약국054-555-9939경상북도 문경시 중앙로 203 (흥덕동)09:00~18:0009:00~15:00휴무휴무<NA>
89아이사랑약국054-556-5402경상북도 문경시 매봉4길 24 (모전동)08:30~19:3008:30~16:0009:30~16:00휴무<NA>
910그랜드약국054-554-3070경상북도 문경시 당교로 261 (모전동)08:30~21:0008:30~21:0012:30~21:0008:30~21:00<NA>
순번약국명칭약국전화번호약국소재지(도로명)주중 운영 시간토요일 운영시간일요일 운영시간공휴일 운영시간비고
3031세아온누리약국054-556-0010경상북도 문경시 매봉4길 24-1 (모전동)08:00~20:0008:00~12:0008:00~12:0008:00~12:00<NA>
3132성모약국054-553-7060경상북도 문경시 신흥3길 3 (흥덕동)08:30~18:0008:30~13:00휴무휴무<NA>
3233수강약국054-555-2625경상북도 문경시 중앙로 169 (흥덕동)08:30~18:3008:30~13:00휴무휴무<NA>
3334보령약국054-555-2044경상북도 문경시 중앙로 146 (점촌동)08:30~18:3008:30~13:00휴무휴무<NA>
3435메디팜보명당약국054-555-2555경상북도 문경시 중앙로 128 (점촌동)08:30~18:3008:30~14:00휴무휴무<NA>
3536동원약국054-555-2746경상북도 문경시 중앙로 184 (흥덕동)08:30~18:3008:30~13:00휴무휴무<NA>
3637제일약국054-555-2219경상북도 문경시 중앙로 83 (점촌동)08:30~19:0008:30~13:00휴무휴무<NA>
3738대구약국054-555-4023경상북도 문경시 중앙로 50-3 (모전동)09:00~19:0009:00~19:0009:00~19:0009:00~19:00<NA>
3839미강약국054-554-9331경상북도 문경시 상신로 4 (점촌동)08:35~17:4008:35~13:00휴무휴무<NA>
3940메디팜보건약국054-556-3307경상북도 문경시 점촌1길 12 (점촌동)08:00~19:3008:00~19:3008:00~19:3008:00~19:30<NA>