Overview

Dataset statistics

Number of variables9
Number of observations66
Missing cells74
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory75.0 B

Variable types

Numeric1
Text6
Categorical2

Dataset

Description인천광역시 중구 관내에 위치한 휴일 지킴이 약국 현황에 대한 데이터 입니다.파일명 인천광역시_중구_휴일 지킴이 약국 현황파일내용 약국명칭, 전화번호, 소재지, 운영 시간 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086877&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
약국전화번호 has 9 (13.6%) missing valuesMissing
평일 운영시간 has 9 (13.6%) missing valuesMissing
토요일 운영시간 has 9 (13.6%) missing valuesMissing
비고 has 47 (71.2%) missing valuesMissing
연번 has unique valuesUnique
약국명칭 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:47:10.277129
Analysis finished2024-01-28 10:47:11.069432
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-28T19:47:11.134942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2024-01-28T19:47:11.238946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

약국명칭
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-01-28T19:47:11.434889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.5454545
Min length3

Characters and Unicode

Total characters366
Distinct characters120
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row신흥약국
2nd row인일약국
3rd row대경약국
4th row보원약국
5th row중앙약국
ValueCountFrequency (%)
w-store 2
 
2.9%
운서마루약국 1
 
1.4%
메디팜인하약국 1
 
1.4%
천사약국 1
 
1.4%
포도나무약국 1
 
1.4%
우리약국 1
 
1.4%
라라약국 1
 
1.4%
영종제일태평양약국 1
 
1.4%
신흥약국 1
 
1.4%
미소약국 1
 
1.4%
Other values (58) 58
84.1%
2024-01-28T19:47:11.742251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 66
 
18.0%
국 66
 
18.0%
스 8
 
2.2%
영 8
 
2.2%
하 6
 
1.6%
종 6
 
1.6%
라 6
 
1.6%
리 5
 
1.4%
마 5
 
1.4%
인 5
 
1.4%
Other values (110) 185
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
93.2%
Lowercase Letter 10
 
2.7%
Uppercase Letter 5
 
1.4%
Decimal Number 5
 
1.4%
Space Separator 3
 
0.8%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 66
19.4%
국 66
19.4%
스 8
 
2.3%
영 8
 
2.3%
하 6
 
1.8%
종 6
 
1.8%
라 6
 
1.8%
리 5
 
1.5%
마 5
 
1.5%
인 5
 
1.5%
Other values (94) 160
46.9%
Lowercase Letter
ValueCountFrequency (%)
r 2
20.0%
e 2
20.0%
o 2
20.0%
t 2
20.0%
s 2
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
20.0%
6 1
20.0%
5 1
20.0%
3 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
W 2
40.0%
Y 1
20.0%
K 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
93.2%
Latin 15
 
4.1%
Common 10
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 66
19.4%
국 66
19.4%
스 8
 
2.3%
영 8
 
2.3%
하 6
 
1.8%
종 6
 
1.8%
라 6
 
1.8%
리 5
 
1.5%
마 5
 
1.5%
인 5
 
1.5%
Other values (94) 160
46.9%
Latin
ValueCountFrequency (%)
r 2
13.3%
e 2
13.3%
o 2
13.3%
t 2
13.3%
W 2
13.3%
s 2
13.3%
Y 1
6.7%
K 1
6.7%
S 1
6.7%
Common
ValueCountFrequency (%)
3
30.0%
- 2
20.0%
1 1
 
10.0%
6 1
 
10.0%
5 1
 
10.0%
3 1
 
10.0%
2 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
93.2%
ASCII 25
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 66
19.4%
국 66
19.4%
스 8
 
2.3%
영 8
 
2.3%
하 6
 
1.8%
종 6
 
1.8%
라 6
 
1.8%
리 5
 
1.5%
마 5
 
1.5%
인 5
 
1.5%
Other values (94) 160
46.9%
ASCII
ValueCountFrequency (%)
3
12.0%
r 2
 
8.0%
e 2
 
8.0%
o 2
 
8.0%
t 2
 
8.0%
W 2
 
8.0%
- 2
 
8.0%
s 2
 
8.0%
1 1
 
4.0%
6 1
 
4.0%
Other values (6) 6
24.0%

약국전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing9
Missing (%)13.6%
Memory size660.0 B
2024-01-28T19:47:11.945207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique57 ?
Unique (%)100.0%

Sample

1st row032-772-9153
2nd row032-883-9919
3rd row032-882-7425
4th row032-772-7764
5th row032-773-8558
ValueCountFrequency (%)
032-884-8297 1
 
1.8%
032-743-6789 1
 
1.8%
032-751-4710 1
 
1.8%
032-751-7585 1
 
1.8%
032-752-1017 1
 
1.8%
032-746-8956 1
 
1.8%
032-751-7341 1
 
1.8%
032-746-0303 1
 
1.8%
032-751-0365 1
 
1.8%
032-751-2200 1
 
1.8%
Other values (47) 47
82.5%
2024-01-28T19:47:12.234866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.7%
2 92
13.5%
0 91
13.3%
3 89
13.0%
7 80
11.7%
8 53
7.7%
5 49
7.2%
6 32
 
4.7%
1 31
 
4.5%
4 30
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 92
16.1%
0 91
16.0%
3 89
15.6%
7 80
14.0%
8 53
9.3%
5 49
8.6%
6 32
 
5.6%
1 31
 
5.4%
4 30
 
5.3%
9 23
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.7%
2 92
13.5%
0 91
13.3%
3 89
13.0%
7 80
11.7%
8 53
7.7%
5 49
7.2%
6 32
 
4.7%
1 31
 
4.5%
4 30
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.7%
2 92
13.5%
0 91
13.3%
3 89
13.0%
7 80
11.7%
8 53
7.7%
5 49
7.2%
6 32
 
4.7%
1 31
 
4.5%
4 30
 
4.4%

소재지
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-01-28T19:47:12.413331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38.5
Mean length30.606061
Min length21

Characters and Unicode

Total characters2020
Distinct characters145
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)93.9%

Sample

1st row인천광역시 중구 제물량로 131 (답동)
2nd row인천광역시 중구 연안부두로 9 (항동7가)
3rd row인천광역시 중구 인중로26번길 21 (도원동)
4th row인천광역시 중구 우현로 86 (인현동)
5th row인천광역시 중구 참외전로72번길 22-7 (전동)
ValueCountFrequency (%)
인천광역시 66
 
16.5%
중구 66
 
16.5%
운서동 17
 
4.2%
중산동 12
 
3.0%
1층 10
 
2.5%
공항로 8
 
2.0%
272 7
 
1.7%
신흥동3가 7
 
1.7%
3층 6
 
1.5%
우현로 5
 
1.2%
Other values (141) 197
49.1%
2024-01-28T19:47:12.693171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
 
16.6%
인 86
 
4.3%
중 83
 
4.1%
1 77
 
3.8%
천 75
 
3.7%
시 68
 
3.4%
동 67
 
3.3%
역 67
 
3.3%
광 66
 
3.3%
구 66
 
3.3%
Other values (135) 1029
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1187
58.8%
Space Separator 336
 
16.6%
Decimal Number 304
 
15.0%
Close Punctuation 65
 
3.2%
Open Punctuation 65
 
3.2%
Other Punctuation 48
 
2.4%
Dash Punctuation 11
 
0.5%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 86
 
7.2%
중 83
 
7.0%
천 75
 
6.3%
시 68
 
5.7%
동 67
 
5.6%
역 67
 
5.6%
광 66
 
5.6%
구 66
 
5.6%
로 66
 
5.6%
항 28
 
2.4%
Other values (115) 515
43.4%
Decimal Number
ValueCountFrequency (%)
1 77
25.3%
2 46
15.1%
3 41
13.5%
7 33
10.9%
4 25
 
8.2%
0 21
 
6.9%
6 18
 
5.9%
5 15
 
4.9%
9 14
 
4.6%
8 14
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
A 1
33.3%
M 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 47
97.9%
/ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1187
58.8%
Common 830
41.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 86
 
7.2%
중 83
 
7.0%
천 75
 
6.3%
시 68
 
5.7%
동 67
 
5.6%
역 67
 
5.6%
광 66
 
5.6%
구 66
 
5.6%
로 66
 
5.6%
항 28
 
2.4%
Other values (115) 515
43.4%
Common
ValueCountFrequency (%)
336
40.5%
1 77
 
9.3%
) 65
 
7.8%
( 65
 
7.8%
, 47
 
5.7%
2 46
 
5.5%
3 41
 
4.9%
7 33
 
4.0%
4 25
 
3.0%
0 21
 
2.5%
Other values (7) 74
 
8.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
A 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1187
58.8%
ASCII 833
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
40.3%
1 77
 
9.2%
) 65
 
7.8%
( 65
 
7.8%
, 47
 
5.6%
2 46
 
5.5%
3 41
 
4.9%
7 33
 
4.0%
4 25
 
3.0%
0 21
 
2.5%
Other values (10) 77
 
9.2%
Hangul
ValueCountFrequency (%)
인 86
 
7.2%
중 83
 
7.0%
천 75
 
6.3%
시 68
 
5.7%
동 67
 
5.6%
역 67
 
5.6%
광 66
 
5.6%
구 66
 
5.6%
로 66
 
5.6%
항 28
 
2.4%
Other values (115) 515
43.4%

평일 운영시간
Text

MISSING 

Distinct30
Distinct (%)52.6%
Missing9
Missing (%)13.6%
Memory size660.0 B
2024-01-28T19:47:12.854152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length11
Mean length11.087719
Min length1

Characters and Unicode

Total characters632
Distinct characters22
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)36.8%

Sample

1st row09:00~21:30
2nd row09:00~익일01:00
3rd row07:30~19:30
4th row09:00~17:30
5th row09:00~18:00
ValueCountFrequency (%)
09:00~19:00 7
 
11.9%
09:00~20:00 5
 
8.5%
09:00~21:00 5
 
8.5%
09:00~18:00 5
 
8.5%
09:00~19:30 4
 
6.8%
09:00~18:30 3
 
5.1%
08:30~18:00 3
 
5.1%
08:30~19:00 2
 
3.4%
08:00~19:00 2
 
3.4%
06:00~12:00 1
 
1.7%
Other values (22) 22
37.3%
2024-01-28T19:47:13.096833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 264
41.8%
: 112
17.7%
~ 56
 
8.9%
9 51
 
8.1%
1 46
 
7.3%
2 28
 
4.4%
3 27
 
4.3%
8 22
 
3.5%
6 6
 
0.9%
7 5
 
0.8%
Other values (12) 15
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 449
71.0%
Other Punctuation 113
 
17.9%
Math Symbol 56
 
8.9%
Other Letter 9
 
1.4%
Space Separator 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 264
58.8%
9 51
 
11.4%
1 46
 
10.2%
2 28
 
6.2%
3 27
 
6.0%
8 22
 
4.9%
6 6
 
1.3%
7 5
 
1.1%
Other Letter
ValueCountFrequency (%)
일 2
22.2%
익 2
22.2%
금 1
11.1%
시 1
11.1%
까 1
11.1%
지 1
11.1%
화 1
11.1%
Other Punctuation
ValueCountFrequency (%)
: 112
99.1%
, 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 56
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 623
98.6%
Hangul 9
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 264
42.4%
: 112
18.0%
~ 56
 
9.0%
9 51
 
8.2%
1 46
 
7.4%
2 28
 
4.5%
3 27
 
4.3%
8 22
 
3.5%
6 6
 
1.0%
7 5
 
0.8%
Other values (5) 6
 
1.0%
Hangul
ValueCountFrequency (%)
일 2
22.2%
익 2
22.2%
금 1
11.1%
시 1
11.1%
까 1
11.1%
지 1
11.1%
화 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 623
98.6%
Hangul 9
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 264
42.4%
: 112
18.0%
~ 56
 
9.0%
9 51
 
8.2%
1 46
 
7.4%
2 28
 
4.5%
3 27
 
4.3%
8 22
 
3.5%
6 6
 
1.0%
7 5
 
0.8%
Other values (5) 6
 
1.0%
Hangul
ValueCountFrequency (%)
일 2
22.2%
익 2
22.2%
금 1
11.1%
시 1
11.1%
까 1
11.1%
지 1
11.1%
화 1
11.1%

토요일 운영시간
Text

MISSING 

Distinct36
Distinct (%)63.2%
Missing9
Missing (%)13.6%
Memory size660.0 B
2024-01-28T19:47:13.267191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.719298
Min length1

Characters and Unicode

Total characters611
Distinct characters17
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

Unique26 ?
Unique (%)45.6%

Sample

1st row09:00~21:30
2nd row09:00~익일01:00
3rd row07:30~19:30
4th row09:00~15:30
5th row휴무
ValueCountFrequency (%)
09:00~14:00 9
 
15.8%
09:00~13:00 3
 
5.3%
09:00~19:00 3
 
5.3%
09:00~16:00 3
 
5.3%
09:00~15:00 3
 
5.3%
08:30~13:00 2
 
3.5%
09:00~22:00 2
 
3.5%
09:00~13:30 2
 
3.5%
09:00~16:30 2
 
3.5%
09:00~21:00 2
 
3.5%
Other values (26) 26
45.6%
2024-01-28T19:47:13.529417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 259
42.4%
: 110
18.0%
~ 55
 
9.0%
1 49
 
8.0%
9 40
 
6.5%
3 28
 
4.6%
2 22
 
3.6%
6 12
 
2.0%
8 10
 
1.6%
4 9
 
1.5%
Other values (7) 17
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 439
71.8%
Other Punctuation 110
 
18.0%
Math Symbol 55
 
9.0%
Other Letter 6
 
1.0%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 259
59.0%
1 49
 
11.2%
9 40
 
9.1%
3 28
 
6.4%
2 22
 
5.0%
6 12
 
2.7%
8 10
 
2.3%
4 9
 
2.1%
5 5
 
1.1%
7 5
 
1.1%
Other Letter
ValueCountFrequency (%)
익 2
33.3%
일 2
33.3%
휴 1
16.7%
무 1
16.7%
Other Punctuation
ValueCountFrequency (%)
: 110
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 605
99.0%
Hangul 6
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 259
42.8%
: 110
18.2%
~ 55
 
9.1%
1 49
 
8.1%
9 40
 
6.6%
3 28
 
4.6%
2 22
 
3.6%
6 12
 
2.0%
8 10
 
1.7%
4 9
 
1.5%
Other values (3) 11
 
1.8%
Hangul
ValueCountFrequency (%)
익 2
33.3%
일 2
33.3%
휴 1
16.7%
무 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 605
99.0%
Hangul 6
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 259
42.8%
: 110
18.2%
~ 55
 
9.1%
1 49
 
8.1%
9 40
 
6.6%
3 28
 
4.6%
2 22
 
3.6%
6 12
 
2.0%
8 10
 
1.7%
4 9
 
1.5%
Other values (3) 11
 
1.8%
Hangul
ValueCountFrequency (%)
익 2
33.3%
일 2
33.3%
휴 1
16.7%
무 1
16.7%

일요일 운영시간
Categorical

Distinct23
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size660.0 B
휴무
34 
<NA>
9 
09:00~21:00
 
2
09:00~22:00
 
2
10:00~21:30
 
1
Other values (18)
18 

Length

Max length13
Median length2
Mean length5.2878788
Min length1

Unique

Unique19 ?
Unique (%)28.8%

Sample

1st row휴무
2nd row09:00~익일01:00
3rd row07:30~14:00
4th row휴무
5th row휴무

Common Values

ValueCountFrequency (%)
휴무 34
51.5%
<NA> 9
 
13.6%
09:00~21:00 2
 
3.0%
09:00~22:00 2
 
3.0%
10:00~21:30 1
 
1.5%
07:30~14:00 1
 
1.5%
- 1
 
1.5%
09:00~13:00 1
 
1.5%
09:00~14:00 1
 
1.5%
10:00~21:00 1
 
1.5%
Other values (13) 13
 
19.7%

Length

2024-01-28T19:47:13.639140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴무 34
51.5%
na 9
 
13.6%
09:00~21:00 2
 
3.0%
09:00~22:00 2
 
3.0%
06:00~12:00 1
 
1.5%
06:00~22:00 1
 
1.5%
07:00~20:00 1
 
1.5%
09:00~20:00 1
 
1.5%
08:00~19:00 1
 
1.5%
06:00~21:00 1
 
1.5%
Other values (13) 13
 
19.7%

비고
Text

MISSING 

Distinct10
Distinct (%)52.6%
Missing47
Missing (%)71.2%
Memory size660.0 B
2024-01-28T19:47:13.764829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.368421
Min length3

Characters and Unicode

Total characters197
Distinct characters37
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

Unique7 ?
Unique (%)36.8%

Sample

1st row공공심야약국 (365)
2nd row연중무휴
3rd row휴업중
4th row공공심야약국 (화,금)
5th row공휴일 09:00~13:00
ValueCountFrequency (%)
내 10
20.4%
연중무휴 9
18.4%
공항 8
16.3%
공휴일 3
 
6.1%
공공심야약국 3
 
6.1%
09:00~13:00 2
 
4.1%
마트 2
 
4.1%
2,4번째 2
 
4.1%
일요일 2
 
4.1%
근무 2
 
4.1%
Other values (5) 6
12.2%
2024-01-28T19:47:13.991696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
15.2%
공 17
 
8.6%
0 15
 
7.6%
휴 13
 
6.6%
무 11
 
5.6%
내 10
 
5.1%
중 10
 
5.1%
연 9
 
4.6%
항 8
 
4.1%
일 7
 
3.6%
Other values (27) 67
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
57.9%
Decimal Number 34
 
17.3%
Space Separator 30
 
15.2%
Other Punctuation 10
 
5.1%
Close Punctuation 3
 
1.5%
Open Punctuation 3
 
1.5%
Math Symbol 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 17
14.9%
휴 13
11.4%
무 11
9.6%
내 10
8.8%
중 10
8.8%
연 9
 
7.9%
항 8
 
7.0%
일 7
 
6.1%
심 3
 
2.6%
국 3
 
2.6%
Other values (12) 23
20.2%
Decimal Number
ValueCountFrequency (%)
0 15
44.1%
3 4
 
11.8%
1 3
 
8.8%
9 3
 
8.8%
4 2
 
5.9%
2 2
 
5.9%
6 2
 
5.9%
5 2
 
5.9%
8 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
: 6
60.0%
, 4
40.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
57.9%
Common 83
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 17
14.9%
휴 13
11.4%
무 11
9.6%
내 10
8.8%
중 10
8.8%
연 9
 
7.9%
항 8
 
7.0%
일 7
 
6.1%
심 3
 
2.6%
국 3
 
2.6%
Other values (12) 23
20.2%
Common
ValueCountFrequency (%)
30
36.1%
0 15
18.1%
: 6
 
7.2%
3 4
 
4.8%
, 4
 
4.8%
1 3
 
3.6%
) 3
 
3.6%
( 3
 
3.6%
~ 3
 
3.6%
9 3
 
3.6%
Other values (5) 9
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
57.9%
ASCII 83
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
36.1%
0 15
18.1%
: 6
 
7.2%
3 4
 
4.8%
, 4
 
4.8%
1 3
 
3.6%
) 3
 
3.6%
( 3
 
3.6%
~ 3
 
3.6%
9 3
 
3.6%
Other values (5) 9
 
10.8%
Hangul
ValueCountFrequency (%)
공 17
14.9%
휴 13
11.4%
무 11
9.6%
내 10
8.8%
중 10
8.8%
연 9
 
7.9%
항 8
 
7.0%
일 7
 
6.1%
심 3
 
2.6%
국 3
 
2.6%
Other values (12) 23
20.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-08-09
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-09
2nd row2023-08-09
3rd row2023-08-09
4th row2023-08-09
5th row2023-08-09

Common Values

ValueCountFrequency (%)
2023-08-09 66
100.0%

Length

2024-01-28T19:47:14.090871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:47:14.161642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-09 66
100.0%

Interactions

2024-01-28T19:47:10.733440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:47:14.222696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번약국명칭약국전화번호소재지평일 운영시간토요일 운영시간일요일 운영시간비고
연번1.0001.0001.0000.9660.6740.0000.3670.874
약국명칭1.0001.0001.0001.0001.0001.0001.0001.000
약국전화번호1.0001.0001.0001.0001.0001.0001.0001.000
소재지0.9661.0001.0001.0000.8870.8610.8121.000
평일 운영시간0.6741.0001.0000.8871.0000.9880.9790.849
토요일 운영시간0.0001.0001.0000.8610.9881.0000.9900.000
일요일 운영시간0.3671.0001.0000.8120.9790.9901.0000.849
비고0.8741.0001.0001.0000.8490.0000.8491.000
2024-01-28T19:47:14.305622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번일요일 운영시간
연번1.0000.165
일요일 운영시간0.1651.000

Missing values

2024-01-28T19:47:10.819717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:47:10.920184image/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.
2024-01-28T19:47:11.008620image/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

연번약국명칭약국전화번호소재지평일 운영시간토요일 운영시간일요일 운영시간비고데이터기준일자
01신흥약국032-772-9153인천광역시 중구 제물량로 131 (답동)09:00~21:3009:00~21:30휴무<NA>2023-08-09
12인일약국032-883-9919인천광역시 중구 연안부두로 9 (항동7가)09:00~익일01:0009:00~익일01:0009:00~익일01:00공공심야약국 (365)2023-08-09
23대경약국032-882-7425인천광역시 중구 인중로26번길 21 (도원동)07:30~19:3007:30~19:3007:30~14:00<NA>2023-08-09
34보원약국032-772-7764인천광역시 중구 우현로 86 (인현동)09:00~17:3009:00~15:30휴무<NA>2023-08-09
45중앙약국032-773-8558인천광역시 중구 참외전로72번길 22-7 (전동)09:00~18:00휴무휴무<NA>2023-08-09
56인천약국032-772-8677인천광역시 중구 홍예문로98번길 7 (인현동)09:00~18:0009:00~14:00휴무<NA>2023-08-09
67원지당약국032-762-3064인천광역시 중구 제물량로 121 (답동)09:00~20:0009:00~19:00휴무<NA>2023-08-09
78유한온누리약국032-883-2600인천광역시 중구 연안부두로33번길 36 (항동7가)09:00~21:0009:00~21:0009:00~21:00연중무휴2023-08-09
89유동약국032-885-9809인천광역시 중구 서해대로494번길 2-1 (유동)09:00~18:0009:00~13:00휴무<NA>2023-08-09
910길메디칼약국032-772-6222인천광역시 중구 큰우물로 22-1 (용동)08:00~19:0008:00~15:00휴무<NA>2023-08-09
연번약국명칭약국전화번호소재지평일 운영시간토요일 운영시간일요일 운영시간비고데이터기준일자
5657스카이팜약국032-743-0020인천광역시 중구 공항로 272, 인천공항 제2여객터미널 3층출국장 (운서동)06:00~21:0006:00~21:0006:00~21:00공항 내 연중무휴2023-08-09
5758밸런스약국032-743-0070인천광역시 중구 공항로 272, 인천공항제2여객터미널 지하1층 (운서동)08:00~19:0008:00~19:0008:00~19:00공항 내 연중무휴2023-08-09
5859대황약국032-884-4762인천광역시 중구 제물량로24번길 6-34 (신흥동3가)07:00~23:0007:00~23:00휴무<NA>2023-08-09
5960바다약국032-747-1134인천광역시 중구 용유서로 298 (을왕동)09:00~20:0009:00~20:0009:00~20:00<NA>2023-08-09
6061에이스팜약국032-743-8578인천광역시 중구 공항로 272, 인천공항 3층 (운서동)07:00~20:0007:00~20:0007:00~20:00공항 내 연중무휴2023-08-09
6162인하정문약국032-888-7548인천광역시 중구 인항로 42, 신영상가 104호 (신흥동3가)08:30~20:0008:30~익일1:0009:30~18:00공공심야약국 (화,토)2023-08-09
6263청안약국<NA>인천광역시 중구 우현로 75, 눈편한안과,상아치과,포도나무약국 (인현동)<NA><NA><NA><NA>2023-08-09
6364해마루약국032-752-5275인천광역시 중구 하늘별빛로 75, 1층 (중산동)09:00~21:0009:00~15:00휴무<NA>2023-08-09
6465서울메디칼약국032-751-6479인천광역시 중구 신도시남로 137 (운서동, 화평빌딩)09:00~19:0009:00~15:00휴무<NA>2023-08-09
6566서울행복약국<NA>인천광역시 중구 운남로 169 1층 104호<NA><NA><NA><NA>2023-08-09