Overview

Dataset statistics

Number of variables11
Number of observations25
Missing cells17
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory96.3 B

Variable types

Numeric3
Text6
Categorical2

Dataset

Description과천시 약국 현황에 대한 데이터로 약국명, 소재지, 전화번호, 팩스번호, 운영시간, 위도, 경도 등의 항목을 제공합니다.
Author경기도 과천시
URLhttps://www.data.go.kr/data/3063157/fileData.do

Alerts

위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
공휴일 is highly overall correlated with 일요일High correlation
일요일 is highly overall correlated with 공휴일High correlation
팩스번호 has 17 (68.0%) missing valuesMissing
연번 has unique valuesUnique
약국명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:13:34.593139
Analysis finished2023-12-12 03:13:36.752457
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:13:36.827303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T12:13:36.991118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

약국명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:13:37.257539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.2
Min length3

Characters and Unicode

Total characters130
Distinct characters58
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row과천약국
2nd row삼화약국
3rd row서해약국
4th row손약국
5th row온누리건강나라약국
ValueCountFrequency (%)
과천약국 1
 
4.0%
스마트약국 1
 
4.0%
과천자이약국 1
 
4.0%
케어약국 1
 
4.0%
과천정약국 1
 
4.0%
발e편한세잘약국 1
 
4.0%
메디컬8층약국 1
 
4.0%
늘푸른약국 1
 
4.0%
상우약국 1
 
4.0%
그린옵티마약국 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T12:13:37.734547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 25
19.2%
국 25
19.2%
천 5
 
3.8%
과 4
 
3.1%
온 4
 
3.1%
누 4
 
3.1%
리 4
 
3.1%
한 3
 
2.3%
마 2
 
1.5%
서 2
 
1.5%
Other values (48) 52
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
98.5%
Decimal Number 1
 
0.8%
Lowercase Letter 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 25
19.5%
국 25
19.5%
천 5
 
3.9%
과 4
 
3.1%
온 4
 
3.1%
누 4
 
3.1%
리 4
 
3.1%
한 3
 
2.3%
마 2
 
1.6%
서 2
 
1.6%
Other values (46) 50
39.1%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
98.5%
Common 1
 
0.8%
Latin 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 25
19.5%
국 25
19.5%
천 5
 
3.9%
과 4
 
3.1%
온 4
 
3.1%
누 4
 
3.1%
리 4
 
3.1%
한 3
 
2.3%
마 2
 
1.6%
서 2
 
1.6%
Other values (46) 50
39.1%
Common
ValueCountFrequency (%)
8 1
100.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
98.5%
ASCII 2
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 25
19.5%
국 25
19.5%
천 5
 
3.9%
과 4
 
3.1%
온 4
 
3.1%
누 4
 
3.1%
리 4
 
3.1%
한 3
 
2.3%
마 2
 
1.6%
서 2
 
1.6%
Other values (46) 50
39.1%
ASCII
ValueCountFrequency (%)
8 1
50.0%
e 1
50.0%

소재지
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:13:38.062297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length35.36
Min length25

Characters and Unicode

Total characters884
Distinct characters95
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도 과천시 중앙로 137, 106호 (중앙동, 가보자빌딩)
2nd row경기도 과천시 별양상가3로 5, 201호 (별양동, 유니온빌딩)
3rd row경기도 과천시 별양상가1로 35,109호 (별양동, 상아빌딩)
4th row경기도 과천시 별양상가1로 35, 201호 (별양동, 상아빌딩)
5th row경기도 과천시 별양상가2로 20, 103호 (별양동, 새서울프라자)
ValueCountFrequency (%)
경기도 25
 
13.8%
과천시 25
 
13.8%
별양동 14
 
7.7%
별양로 9
 
5.0%
별양상가1로 7
 
3.9%
상가 4
 
2.2%
원문동 4
 
2.2%
28 3
 
1.7%
중앙동 3
 
1.7%
래미안슈르 3
 
1.7%
Other values (69) 84
46.4%
2023-12-12T12:13:38.639787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
17.6%
, 47
 
5.3%
1 38
 
4.3%
별 34
 
3.8%
양 34
 
3.8%
과 30
 
3.4%
천 30
 
3.4%
동 30
 
3.4%
2 27
 
3.1%
시 27
 
3.1%
Other values (85) 431
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 479
54.2%
Space Separator 156
 
17.6%
Decimal Number 144
 
16.3%
Other Punctuation 47
 
5.3%
Close Punctuation 25
 
2.8%
Open Punctuation 25
 
2.8%
Uppercase Letter 6
 
0.7%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
별 34
 
7.1%
양 34
 
7.1%
과 30
 
6.3%
천 30
 
6.3%
동 30
 
6.3%
시 27
 
5.6%
경 25
 
5.2%
도 25
 
5.2%
기 25
 
5.2%
로 23
 
4.8%
Other values (66) 196
40.9%
Decimal Number
ValueCountFrequency (%)
1 38
26.4%
2 27
18.8%
0 23
16.0%
3 15
 
10.4%
4 12
 
8.3%
8 10
 
6.9%
5 8
 
5.6%
6 4
 
2.8%
9 4
 
2.8%
7 3
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
T 1
 
16.7%
A 1
 
16.7%
K 1
 
16.7%
Space Separator
ValueCountFrequency (%)
156
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 479
54.2%
Common 399
45.1%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
별 34
 
7.1%
양 34
 
7.1%
과 30
 
6.3%
천 30
 
6.3%
동 30
 
6.3%
시 27
 
5.6%
경 25
 
5.2%
도 25
 
5.2%
기 25
 
5.2%
로 23
 
4.8%
Other values (66) 196
40.9%
Common
ValueCountFrequency (%)
156
39.1%
, 47
 
11.8%
1 38
 
9.5%
2 27
 
6.8%
) 25
 
6.3%
( 25
 
6.3%
0 23
 
5.8%
3 15
 
3.8%
4 12
 
3.0%
8 10
 
2.5%
Other values (5) 21
 
5.3%
Latin
ValueCountFrequency (%)
B 3
50.0%
T 1
 
16.7%
A 1
 
16.7%
K 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 479
54.2%
ASCII 405
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
38.5%
, 47
 
11.6%
1 38
 
9.4%
2 27
 
6.7%
) 25
 
6.2%
( 25
 
6.2%
0 23
 
5.7%
3 15
 
3.7%
4 12
 
3.0%
8 10
 
2.5%
Other values (9) 27
 
6.7%
Hangul
ValueCountFrequency (%)
별 34
 
7.1%
양 34
 
7.1%
과 30
 
6.3%
천 30
 
6.3%
동 30
 
6.3%
시 27
 
5.6%
경 25
 
5.2%
도 25
 
5.2%
기 25
 
5.2%
로 23
 
4.8%
Other values (66) 196
40.9%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:13:38.931093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.48
Min length8

Characters and Unicode

Total characters212
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

Unique25 ?
Unique (%)100.0%

Sample

1st row503-1570
2nd row3679-6321
3rd row503-1627
4th row502-1725
5th row3418-6464
ValueCountFrequency (%)
503-1570 1
 
4.0%
3679-4888 1
 
4.0%
502-5455 1
 
4.0%
504-1381 1
 
4.0%
504-3364 1
 
4.0%
3679-1532 1
 
4.0%
507-8982 1
 
4.0%
502-1836 1
 
4.0%
504-3121 1
 
4.0%
503-1717 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T12:13:39.447060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
12.7%
- 26
12.3%
1 26
12.3%
5 25
11.8%
7 20
9.4%
3 18
8.5%
2 17
8.0%
6 15
7.1%
4 14
6.6%
9 12
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
87.7%
Dash Punctuation 26
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
14.5%
1 26
14.0%
5 25
13.4%
7 20
10.8%
3 18
9.7%
2 17
9.1%
6 15
8.1%
4 14
7.5%
9 12
6.5%
8 12
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
12.7%
- 26
12.3%
1 26
12.3%
5 25
11.8%
7 20
9.4%
3 18
8.5%
2 17
8.0%
6 15
7.1%
4 14
6.6%
9 12
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
12.7%
- 26
12.3%
1 26
12.3%
5 25
11.8%
7 20
9.4%
3 18
8.5%
2 17
8.0%
6 15
7.1%
4 14
6.6%
9 12
5.7%

팩스번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing17
Missing (%)68.0%
Memory size332.0 B
2023-12-12T12:13:39.650319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.25
Min length8

Characters and Unicode

Total characters66
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

Unique8 ?
Unique (%)100.0%

Sample

1st row503-1570
2nd row3679-0667
3rd row3418-6464
4th row507-0412
5th row503-7750
ValueCountFrequency (%)
503-1570 1
12.5%
3679-0667 1
12.5%
3418-6464 1
12.5%
507-0412 1
12.5%
503-7750 1
12.5%
504-1020 1
12.5%
502-7781 1
12.5%
503-1116 1
12.5%
2023-12-12T12:13:39.979215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12
18.2%
5 8
12.1%
- 8
12.1%
1 8
12.1%
7 8
12.1%
6 6
9.1%
3 5
7.6%
4 5
7.6%
2 3
 
4.5%
8 2
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58
87.9%
Dash Punctuation 8
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
20.7%
5 8
13.8%
1 8
13.8%
7 8
13.8%
6 6
10.3%
3 5
8.6%
4 5
8.6%
2 3
 
5.2%
8 2
 
3.4%
9 1
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12
18.2%
5 8
12.1%
- 8
12.1%
1 8
12.1%
7 8
12.1%
6 6
9.1%
3 5
7.6%
4 5
7.6%
2 3
 
4.5%
8 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12
18.2%
5 8
12.1%
- 8
12.1%
1 8
12.1%
7 8
12.1%
6 6
9.1%
3 5
7.6%
4 5
7.6%
2 3
 
4.5%
8 2
 
3.0%

평일
Text

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:13:40.186376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length11
Mean length11.64
Min length11

Characters and Unicode

Total characters291
Distinct characters11
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

Unique12 ?
Unique (%)48.0%

Sample

1st row08:30~20:20
2nd row08:30~18:30
3rd row08:30~20:00
4th row08:30~18:30 목) 08:30~13:00
5th row09:00~21:00
ValueCountFrequency (%)
08:30~19:00 5
18.5%
09:00~18:00 3
11.1%
09:00~21:00 3
11.1%
09:00~19:00 2
 
7.4%
08:30~18:30 2
 
7.4%
09:00~20:30 1
 
3.7%
09:00~22:00 1
 
3.7%
09:00~19:30 1
 
3.7%
10:00~13:00 1
 
3.7%
08:30~20:30 1
 
3.7%
Other values (7) 7
25.9%
2023-12-12T12:13:40.603455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
39.9%
: 52
17.9%
~ 26
 
8.9%
1 23
 
7.9%
3 20
 
6.9%
9 19
 
6.5%
8 17
 
5.8%
2 13
 
4.5%
3
 
1.0%
목 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 208
71.5%
Other Punctuation 52
 
17.9%
Math Symbol 26
 
8.9%
Space Separator 3
 
1.0%
Other Letter 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 116
55.8%
1 23
 
11.1%
3 20
 
9.6%
9 19
 
9.1%
8 17
 
8.2%
2 13
 
6.2%
Other Punctuation
ValueCountFrequency (%)
: 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Letter
ValueCountFrequency (%)
목 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
99.7%
Hangul 1
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 116
40.0%
: 52
17.9%
~ 26
 
9.0%
1 23
 
7.9%
3 20
 
6.9%
9 19
 
6.6%
8 17
 
5.9%
2 13
 
4.5%
3
 
1.0%
) 1
 
0.3%
Hangul
ValueCountFrequency (%)
목 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
99.7%
Hangul 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
40.0%
: 52
17.9%
~ 26
 
9.0%
1 23
 
7.9%
3 20
 
6.9%
9 19
 
6.6%
8 17
 
5.9%
2 13
 
4.5%
3
 
1.0%
) 1
 
0.3%
Hangul
ValueCountFrequency (%)
목 1
100.0%

토요일
Text

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:13:40.818299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length9.4
Min length3

Characters and Unicode

Total characters235
Distinct characters15
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

Unique12 ?
Unique (%)48.0%

Sample

1st row08:30~20:20
2nd row08:30~14:00
3rd row08:30~15:00
4th row08:30~13:00
5th row09:00~20:00
ValueCountFrequency (%)
휴 5
16.7%
무 5
16.7%
08:30~15:00 4
13.3%
08:30~14:00 2
 
6.7%
09:00~14:00 2
 
6.7%
08:30~21:30 1
 
3.3%
09:00~22:00 1
 
3.3%
09:00~15:00 1
 
3.3%
09:00~16:00 1
 
3.3%
09:00~17:00 1
 
3.3%
Other values (7) 7
23.3%
2023-12-12T12:13:41.224275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
39.1%
: 40
17.0%
~ 20
 
8.5%
1 18
 
7.7%
3 11
 
4.7%
8 10
 
4.3%
9 9
 
3.8%
2 9
 
3.8%
휴 5
 
2.1%
5
 
2.1%
Other values (5) 16
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
68.1%
Other Punctuation 40
 
17.0%
Math Symbol 20
 
8.5%
Other Letter 10
 
4.3%
Space Separator 5
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
57.5%
1 18
 
11.2%
3 11
 
6.9%
8 10
 
6.2%
9 9
 
5.6%
2 9
 
5.6%
5 5
 
3.1%
4 4
 
2.5%
7 1
 
0.6%
6 1
 
0.6%
Other Letter
ValueCountFrequency (%)
휴 5
50.0%
무 5
50.0%
Other Punctuation
ValueCountFrequency (%)
: 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
95.7%
Hangul 10
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
40.9%
: 40
17.8%
~ 20
 
8.9%
1 18
 
8.0%
3 11
 
4.9%
8 10
 
4.4%
9 9
 
4.0%
2 9
 
4.0%
5
 
2.2%
5 5
 
2.2%
Other values (3) 6
 
2.7%
Hangul
ValueCountFrequency (%)
휴 5
50.0%
무 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225
95.7%
Hangul 10
 
4.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
40.9%
: 40
17.8%
~ 20
 
8.9%
1 18
 
8.0%
3 11
 
4.9%
8 10
 
4.4%
9 9
 
4.0%
2 9
 
4.0%
5
 
2.2%
5 5
 
2.2%
Other values (3) 6
 
2.7%
Hangul
ValueCountFrequency (%)
휴 5
50.0%
무 5
50.0%

공휴일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
휴 무
19 
08:30~20:20
 
1
09:00~18:00
 
1
10:00~20:00
 
1
10:00~13:00
 
1
Other values (2)
2 

Length

Max length11
Median length3
Mean length4.92
Min length3

Unique

Unique6 ?
Unique (%)24.0%

Sample

1st row08:30~20:20
2nd row휴 무
3rd row휴 무
4th row휴 무
5th row휴 무

Common Values

ValueCountFrequency (%)
휴 무 19
76.0%
08:30~20:20 1
 
4.0%
09:00~18:00 1
 
4.0%
10:00~20:00 1
 
4.0%
10:00~13:00 1
 
4.0%
09:00~22:00 1
 
4.0%
10:00~21:00 1
 
4.0%

Length

2023-12-12T12:13:41.392775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:13:41.553321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴 19
43.2%
무 19
43.2%
08:30~20:20 1
 
2.3%
09:00~18:00 1
 
2.3%
10:00~20:00 1
 
2.3%
10:00~13:00 1
 
2.3%
09:00~22:00 1
 
2.3%
10:00~21:00 1
 
2.3%

일요일
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
휴 무
18 
08:30~20:20(4째주 휴무)
 
1
15:00~19:00
 
1
10:00~18:00(2,4째주근무)
 
1
09:00~18:00
 
1
Other values (3)
3 

Length

Max length26
Median length3
Mean length6.52
Min length3

Unique

Unique7 ?
Unique (%)28.0%

Sample

1st row08:30~20:20(4째주 휴무)
2nd row휴 무
3rd row15:00~19:00
4th row휴 무
5th row10:00~18:00(2,4째주근무)

Common Values

ValueCountFrequency (%)
휴 무 18
72.0%
08:30~20:20(4째주 휴무) 1
 
4.0%
15:00~19:00 1
 
4.0%
10:00~18:00(2,4째주근무) 1
 
4.0%
09:00~18:00 1
 
4.0%
12:00~20:00(2,4째주근무 당분간휴무) 1
 
4.0%
11:00~20:00 1
 
4.0%
10:00~21:00 1
 
4.0%

Length

2023-12-12T12:13:41.721353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:13:41.882349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴 18
40.0%
무 18
40.0%
08:30~20:20(4째주 1
 
2.2%
휴무 1
 
2.2%
15:00~19:00 1
 
2.2%
10:00~18:00(2,4째주근무 1
 
2.2%
09:00~18:00 1
 
2.2%
12:00~20:00(2,4째주근무 1
 
2.2%
당분간휴무 1
 
2.2%
11:00~20:00 1
 
2.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.42641
Minimum37.406964
Maximum37.434118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:13:42.040880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.406964
5-th percentile37.421028
Q137.424541
median37.428242
Q337.428671
95-th percentile37.433146
Maximum37.434118
Range0.027154
Interquartile range (IQR)0.00413

Descriptive statistics

Standard deviation0.0052490852
Coefficient of variation (CV)0.00014025083
Kurtosis7.3632236
Mean37.42641
Median Absolute Deviation (MAD)0.001123
Skewness-2.1295158
Sum935.66025
Variance2.7552895 × 10-5
MonotonicityNot monotonic
2023-12-12T12:13:42.216968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.429225 2
 
8.0%
37.428778 1
 
4.0%
37.429365 1
 
4.0%
37.406964 1
 
4.0%
37.422859 1
 
4.0%
37.424186 1
 
4.0%
37.426412 1
 
4.0%
37.428345 1
 
4.0%
37.421381 1
 
4.0%
37.421033 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
37.406964 1
4.0%
37.421027 1
4.0%
37.421033 1
4.0%
37.421381 1
4.0%
37.422859 1
4.0%
37.424186 1
4.0%
37.424541 1
4.0%
37.426412 1
4.0%
37.426641 1
4.0%
37.427007 1
4.0%
ValueCountFrequency (%)
37.434118 1
4.0%
37.434091 1
4.0%
37.429365 1
4.0%
37.429225 2
8.0%
37.428778 1
4.0%
37.428671 1
4.0%
37.428518 1
4.0%
37.428455 1
4.0%
37.428387 1
4.0%
37.428377 1
4.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99335
Minimum126.98329
Maximum127.00863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:13:42.374250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.98329
5-th percentile126.98541
Q1126.99159
median126.993
Q3126.99377
95-th percentile126.99861
Maximum127.00863
Range0.02534
Interquartile range (IQR)0.002183

Descriptive statistics

Standard deviation0.0048218115
Coefficient of variation (CV)3.7969008 × 10-5
Kurtosis3.993633
Mean126.99335
Median Absolute Deviation (MAD)0.001305
Skewness0.88560012
Sum3174.8337
Variance2.3249866 × 10-5
MonotonicityNot monotonic
2023-12-12T12:13:42.911752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.998613 2
 
8.0%
126.991695 1
 
4.0%
126.991913 1
 
4.0%
126.983286 1
 
4.0%
126.99065 1
 
4.0%
127.008626 1
 
4.0%
126.991907 1
 
4.0%
126.993353 1
 
4.0%
126.991585 1
 
4.0%
126.990902 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
126.983286 1
4.0%
126.984099 1
4.0%
126.99065 1
4.0%
126.990902 1
4.0%
126.990907 1
4.0%
126.991112 1
4.0%
126.991585 1
4.0%
126.991695 1
4.0%
126.991907 1
4.0%
126.991913 1
4.0%
ValueCountFrequency (%)
127.008626 1
4.0%
126.998613 2
8.0%
126.998159 1
4.0%
126.998132 1
4.0%
126.994 1
4.0%
126.993768 1
4.0%
126.993749 1
4.0%
126.993576 1
4.0%
126.993532 1
4.0%
126.993353 1
4.0%

Interactions

2023-12-12T12:13:35.970186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:35.189748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:35.568583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:36.112462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:35.309611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:35.696911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:36.237974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:35.438583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:13:35.841462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:13:43.048453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번약국명소재지전화번호팩스번호평일토요일공휴일일요일위도경도
연번1.0001.0001.0001.0001.0000.7050.0000.0000.0000.4530.670
약국명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
평일0.7051.0001.0001.0001.0001.0000.9670.9530.9640.1550.818
토요일0.0001.0001.0001.0001.0000.9671.0001.0000.9910.0000.000
공휴일0.0001.0001.0001.0001.0000.9531.0001.0000.9520.0000.000
일요일0.0001.0001.0001.0001.0000.9640.9910.9521.0000.0000.000
위도0.4531.0001.0001.0001.0000.1550.0000.0000.0001.0000.805
경도0.6701.0001.0001.0001.0000.8180.0000.0000.0000.8051.000
2023-12-12T12:13:43.228109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일요일공휴일
일요일1.0000.851
공휴일0.8511.000
2023-12-12T12:13:43.353108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도공휴일일요일
연번1.000-0.2140.0940.0000.000
위도-0.2141.0000.5940.0000.000
경도0.0940.5941.0000.0000.000
공휴일0.0000.0000.0001.0000.851
일요일0.0000.0000.0000.8511.000

Missing values

2023-12-12T12:13:36.422016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:13:36.665743image/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

연번약국명소재지전화번호팩스번호평일토요일공휴일일요일위도경도
01과천약국경기도 과천시 중앙로 137, 106호 (중앙동, 가보자빌딩)503-1570503-157008:30~20:2008:30~20:2008:30~20:2008:30~20:20(4째주 휴무)37.428778126.991695
12삼화약국경기도 과천시 별양상가3로 5, 201호 (별양동, 유니온빌딩)3679-6321<NA>08:30~18:3008:30~14:00휴 무휴 무37.426641126.991112
23서해약국경기도 과천시 별양상가1로 35,109호 (별양동, 상아빌딩)503-16273679-066708:30~20:0008:30~15:00휴 무15:00~19:0037.428518126.993532
34손약국경기도 과천시 별양상가1로 35, 201호 (별양동, 상아빌딩)502-1725<NA>08:30~18:30 목) 08:30~13:0008:30~13:00휴 무휴 무37.428671126.993576
45온누리건강나라약국경기도 과천시 별양상가2로 20, 103호 (별양동, 새서울프라자)3418-64643418-646409:00~21:0009:00~20:00휴 무10:00~18:00(2,4째주근무)37.427007126.992668
56온누리길약국경기도 과천시 별양상가1로 25, 404호 (별양동, 렉스타운)502-1966<NA>08:30~19:0008:30~15:00휴 무휴 무37.428455126.992517
67모범약국경기도 과천시 별양상가1로 30, 401호 (별양동, 골든타워)502-4608507-041209:00~21:0009:00~18:0009:00~18:0009:00~18:0037.428242126.993344
78이화약국경기도 과천시 별양상가1로 25, 105호 (별양동, 렉스타운)503-7750503-775009:00~21:0009:00~21:00휴 무휴 무37.428377126.993768
89과천청사온누리약국경기도 과천시 관문로 47, 안내동 (중앙동, 정부과천청사)2110-5928<NA>09:00~18:00휴 무휴 무휴 무37.427121126.984099
910제일약국경기도 과천시 별양상가2로 14, 101호 (별양동, 제일쇼핑)504-1020504-102010:00~20:0010:00~20:0010:00~20:0012:00~20:00(2,4째주근무 당분간휴무)37.427284126.993
연번약국명소재지전화번호팩스번호평일토요일공휴일일요일위도경도
1516서울온누리약국경기도 과천시 별양로 182-2,101호 (부림동, 시대빌딩)502-9799<NA>08:30~20:3008:30~15:00휴 무휴 무37.434118126.998159
1617그린옵티마약국경기도 과천시 별양로 28, A동 3025호 (원문동, 래미안슈르 상가)503-1717<NA>08:30~19:00휴 무휴 무휴 무37.421033126.990902
1718상우약국경기도 과천시 별양로 28, B동 3078호 (원문동, 래미안슈르 상가)504-3121<NA>08:30~19:0008:30~14:00휴 무휴 무37.421381126.991585
1819늘푸른약국경기도 과천시 별양상가1로 30, 202호 (별양동, 골든타워)502-1836<NA>10:00~13:0009:00~15:0010:00~13:00휴 무37.428345126.993353
1920메디컬8층약국경기도 과천시 별양상가3로 11, 812호 (별양동, 이마트과천점)507-8982<NA>09:00~19:0009:00~14:00휴 무휴 무37.426412126.991907
2021발e편한세잘약국경기도 과천시 문원청계2길 4,1층 (문원동)3679-1532<NA>09:00~18:00휴 무휴 무휴 무37.424186127.008626
2122과천정약국경기도 과천시 별양로 39, 1동 104호 (원문동, 위버필드 상가)504-3364<NA>09:00~19:3009:00~14:00휴 무휴 무37.422859126.99065
2223케어약국경기도 과천시 별양로 142, 과천자이상가 120호, 129호 (별양동)504-1381<NA>09:00~22:0009:00~22:0009:00~22:0011:00~20:0037.429225126.998613
2324과천자이약국경기도 과천시 별양로 142, 과천자이상가 1층 111호 (별양동)502-5455<NA>10:00~21:0010:00~21:0010:00~21:0010:00~21:0037.429225126.998613
2425펄약국경기도 과천시 과천대로2길 48, 펄어비스 B108 (갈현동)070-4141-1204<NA>09:00~18:00휴 무휴 무휴 무37.406964126.983286