Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory70.5 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description증평군에 위치한 당번약국정보 원문 링크주소: https://www.jp.go.kr/health/prog/health/sub03_03_04/MC04/list.do ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-3037948?url=https%3A//www.jp.go.kr/health/prog/health/sub03_03_04/MC04/list.do&version=d7)](https://www.data.go.kr/data/3037948/fileData.do)
URLhttps://www.data.go.kr/data/3037948/fileData.do

Alerts

의약업소구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:42:03.817786
Analysis finished2023-12-12 11:42:04.745945
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T20:42:04.854787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-12T20:42:05.047078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

업소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T20:42:05.313137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.875
Min length3

Characters and Unicode

Total characters117
Distinct characters53
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row화랑약국
2nd row별약국
3rd row신세계약국
4th row증평우리약국
5th row한마을약국
ValueCountFrequency (%)
화랑약국 1
 
4.0%
중앙약국 1
 
4.0%
봉약국 1
 
4.0%
서울약국 1
 
4.0%
시장약국 1
 
4.0%
백세약국 1
 
4.0%
365 1
 
4.0%
경희약국 1
 
4.0%
송산약국 1
 
4.0%
유일약국 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T20:42:05.815030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 24
20.5%
국 24
20.5%
평 4
 
3.4%
증 3
 
2.6%
마 3
 
2.6%
일 3
 
2.6%
가 2
 
1.7%
랑 2
 
1.7%
서 2
 
1.7%
울 2
 
1.7%
Other values (43) 48
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
96.6%
Decimal Number 3
 
2.6%
Space Separator 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 24
21.2%
국 24
21.2%
평 4
 
3.5%
증 3
 
2.7%
마 3
 
2.7%
일 3
 
2.7%
가 2
 
1.8%
랑 2
 
1.8%
서 2
 
1.8%
울 2
 
1.8%
Other values (39) 44
38.9%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
96.6%
Common 4
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 24
21.2%
국 24
21.2%
평 4
 
3.5%
증 3
 
2.7%
마 3
 
2.7%
일 3
 
2.7%
가 2
 
1.8%
랑 2
 
1.8%
서 2
 
1.8%
울 2
 
1.8%
Other values (39) 44
38.9%
Common
ValueCountFrequency (%)
3 1
25.0%
6 1
25.0%
5 1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
96.6%
ASCII 4
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 24
21.2%
국 24
21.2%
평 4
 
3.5%
증 3
 
2.7%
마 3
 
2.7%
일 3
 
2.7%
가 2
 
1.8%
랑 2
 
1.8%
서 2
 
1.8%
울 2
 
1.8%
Other values (39) 44
38.9%
ASCII
ValueCountFrequency (%)
3 1
25.0%
6 1
25.0%
5 1
25.0%
1
25.0%

대표자성명
Categorical

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
미확인
10 
이**
5 
김**
2 
한**
2 
박**
2 
Other values (3)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row미확인
2nd row미확인
3rd row김**
4th row한**
5th row박**

Common Values

ValueCountFrequency (%)
미확인 10
41.7%
이** 5
20.8%
김** 2
 
8.3%
한** 2
 
8.3%
박** 2
 
8.3%
서** 1
 
4.2%
최** 1
 
4.2%
임** 1
 
4.2%

Length

2023-12-12T20:42:06.025075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:42:06.199216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미확인 10
41.7%
이 5
20.8%
김 2
 
8.3%
한 2
 
8.3%
박 2
 
8.3%
서 1
 
4.2%
최 1
 
4.2%
임 1
 
4.2%

의약업소구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
약국
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약국 24
100.0%

Length

2023-12-12T20:42:06.402841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:42:06.554078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 24
100.0%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T20:42:06.779978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length21.791667
Min length19

Characters and Unicode

Total characters523
Distinct characters36
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

Unique24 ?
Unique (%)100.0%

Sample

1st row충청북도 증평군 증평읍 증평로 3
2nd row충청북도 증평군 증평읍 중앙로 206-1 , 102호
3rd row충청북도 증평군 증평읍 중앙로 231-2
4th row충청북도 증평군 증평읍 중앙로 218
5th row충청북도 증평군 증평읍 중앙로 180
ValueCountFrequency (%)
충청북도 24
19.4%
증평읍 24
19.4%
증평군 24
19.4%
중앙로 14
11.3%
광장로 3
 
2.4%
역전로 2
 
1.6%
3 2
 
1.6%
206-1 2
 
1.6%
2
 
1.6%
208 1
 
0.8%
Other values (26) 26
21.0%
2023-12-12T20:42:07.223024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
23.3%
증 49
 
9.4%
평 49
 
9.4%
1 25
 
4.8%
충 24
 
4.6%
북 24
 
4.6%
도 24
 
4.6%
군 24
 
4.6%
읍 24
 
4.6%
청 24
 
4.6%
Other values (26) 134
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
60.6%
Space Separator 122
 
23.3%
Decimal Number 74
 
14.1%
Dash Punctuation 8
 
1.5%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
증 49
15.5%
평 49
15.5%
충 24
7.6%
북 24
7.6%
도 24
7.6%
군 24
7.6%
읍 24
7.6%
청 24
7.6%
로 22
6.9%
중 16
 
5.0%
Other values (13) 37
11.7%
Decimal Number
ValueCountFrequency (%)
1 25
33.8%
2 13
17.6%
0 9
 
12.2%
3 7
 
9.5%
8 6
 
8.1%
6 4
 
5.4%
5 3
 
4.1%
4 3
 
4.1%
9 2
 
2.7%
7 2
 
2.7%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
60.6%
Common 206
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
증 49
15.5%
평 49
15.5%
충 24
7.6%
북 24
7.6%
도 24
7.6%
군 24
7.6%
읍 24
7.6%
청 24
7.6%
로 22
6.9%
중 16
 
5.0%
Other values (13) 37
11.7%
Common
ValueCountFrequency (%)
122
59.2%
1 25
 
12.1%
2 13
 
6.3%
0 9
 
4.4%
- 8
 
3.9%
3 7
 
3.4%
8 6
 
2.9%
6 4
 
1.9%
5 3
 
1.5%
4 3
 
1.5%
Other values (3) 6
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
60.6%
ASCII 206
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
59.2%
1 25
 
12.1%
2 13
 
6.3%
0 9
 
4.4%
- 8
 
3.9%
3 7
 
3.4%
8 6
 
2.9%
6 4
 
1.9%
5 3
 
1.5%
4 3
 
1.5%
Other values (3) 6
 
2.9%
Hangul
ValueCountFrequency (%)
증 49
15.5%
평 49
15.5%
충 24
7.6%
북 24
7.6%
도 24
7.6%
군 24
7.6%
읍 24
7.6%
청 24
7.6%
로 22
6.9%
중 16
 
5.0%
Other values (13) 37
11.7%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T20:42:07.538882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row043-838-0918
2nd row043-838-7524
3rd row043-838-3822
4th row043-838-8570
5th row043-838-1438
ValueCountFrequency (%)
043-838-0918 1
 
4.2%
043-838-7524 1
 
4.2%
043-836-4172 1
 
4.2%
043-838-4492 1
 
4.2%
043-836-7573 1
 
4.2%
043-838-3575 1
 
4.2%
043-836-5931 1
 
4.2%
043-838-9090 1
 
4.2%
043-838-8757 1
 
4.2%
043-838-8321 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T20:42:08.025298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 58
20.1%
- 48
16.7%
8 46
16.0%
4 38
13.2%
0 31
10.8%
6 14
 
4.9%
5 13
 
4.5%
2 13
 
4.5%
7 11
 
3.8%
9 8
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 58
24.2%
8 46
19.2%
4 38
15.8%
0 31
12.9%
6 14
 
5.8%
5 13
 
5.4%
2 13
 
5.4%
7 11
 
4.6%
9 8
 
3.3%
1 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 58
20.1%
- 48
16.7%
8 46
16.0%
4 38
13.2%
0 31
10.8%
6 14
 
4.9%
5 13
 
4.5%
2 13
 
4.5%
7 11
 
3.8%
9 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 58
20.1%
- 48
16.7%
8 46
16.0%
4 38
13.2%
0 31
10.8%
6 14
 
4.9%
5 13
 
4.5%
2 13
 
4.5%
7 11
 
3.8%
9 8
 
2.8%

팩스번호
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T20:42:08.304997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.416667
Min length3

Characters and Unicode

Total characters274
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row043-838-0918
2nd row050-4324-7042
3rd row042-367-1360
4th row043-838-8507
5th row043-838-1437
ValueCountFrequency (%)
미확인 2
 
8.3%
043-838-0918 1
 
4.2%
043-838-4720 1
 
4.2%
043-836-4170 1
 
4.2%
050-4425-6723 1
 
4.2%
043-836-7572 1
 
4.2%
043-838-3576 1
 
4.2%
043-836-5931 1
 
4.2%
043-838-9090 1
 
4.2%
043-838-8758 1
 
4.2%
Other values (13) 13
54.2%
2023-12-12T20:42:08.922374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 46
16.8%
- 44
16.1%
8 37
13.5%
0 36
13.1%
4 32
11.7%
5 18
 
6.6%
7 15
 
5.5%
2 14
 
5.1%
6 11
 
4.0%
1 10
 
3.6%
Other values (4) 11
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 224
81.8%
Dash Punctuation 44
 
16.1%
Other Letter 6
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 46
20.5%
8 37
16.5%
0 36
16.1%
4 32
14.3%
5 18
 
8.0%
7 15
 
6.7%
2 14
 
6.2%
6 11
 
4.9%
1 10
 
4.5%
9 5
 
2.2%
Other Letter
ValueCountFrequency (%)
미 2
33.3%
확 2
33.3%
인 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 268
97.8%
Hangul 6
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
3 46
17.2%
- 44
16.4%
8 37
13.8%
0 36
13.4%
4 32
11.9%
5 18
 
6.7%
7 15
 
5.6%
2 14
 
5.2%
6 11
 
4.1%
1 10
 
3.7%
Hangul
ValueCountFrequency (%)
미 2
33.3%
확 2
33.3%
인 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 268
97.8%
Hangul 6
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 46
17.2%
- 44
16.4%
8 37
13.8%
0 36
13.4%
4 32
11.9%
5 18
 
6.7%
7 15
 
5.6%
2 14
 
5.2%
6 11
 
4.1%
1 10
 
3.7%
Hangul
ValueCountFrequency (%)
미 2
33.3%
확 2
33.3%
인 2
33.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-08-03
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-03
2nd row2023-08-03
3rd row2023-08-03
4th row2023-08-03
5th row2023-08-03

Common Values

ValueCountFrequency (%)
2023-08-03 24
100.0%

Length

2023-12-12T20:42:09.196104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:42:09.386030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-03 24
100.0%

Interactions

2023-12-12T20:42:04.266472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:42:09.497622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명대표자성명도로명주소전화번호팩스번호
연번1.0001.0000.5291.0001.0000.879
업소명1.0001.0001.0001.0001.0001.000
대표자성명0.5291.0001.0001.0001.0000.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
팩스번호0.8791.0000.0001.0001.0001.000
2023-12-12T20:42:09.710380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자성명
연번1.0000.224
대표자성명0.2241.000

Missing values

2023-12-12T20:42:04.468043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:42:04.673756image/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

연번업소명대표자성명의약업소구분도로명주소전화번호팩스번호데이터기준일
01화랑약국미확인약국충청북도 증평군 증평읍 증평로 3043-838-0918043-838-09182023-08-03
12별약국미확인약국충청북도 증평군 증평읍 중앙로 206-1 , 102호043-838-7524050-4324-70422023-08-03
23신세계약국김**약국충청북도 증평군 증평읍 중앙로 231-2043-838-3822042-367-13602023-08-03
34증평우리약국한**약국충청북도 증평군 증평읍 중앙로 218043-838-8570043-838-85072023-08-03
45한마을약국박**약국충청북도 증평군 증평읍 중앙로 180043-838-1438043-838-14372023-08-03
56이상약국박**약국충청북도 증평군 증평읍 광장로 121-1043-836-5447050-4158-78532023-08-03
67증평선경약국이**약국충청북도 증평군 증평읍 역전로 34-1043-836-9294미확인2023-08-03
78동일약국김**약국충청북도 증평군 증평읍 중앙로 201-1043-838-6001043-838-53772023-08-03
89증평태평양약국이**약국충청북도 증평군 증평읍 중앙로 217-1043-836-7224050-4321-21442023-08-03
910가족사랑종로약국서**약국충청북도 증평군 증평읍 중앙로 190043-838-1985043-838-19842023-08-03
연번업소명대표자성명의약업소구분도로명주소전화번호팩스번호데이터기준일
1415성가약국임**약국충청북도 증평군 증평읍 광장로 91043-836-2405043-836-65202023-08-03
1516우정약국미확인약국충청북도 증평군 증평읍 중앙로 208043-838-8321043-538-83262023-08-03
1617유일약국미확인약국충청북도 증평군 증평읍 역전로 53043-838-8757043-838-87582023-08-03
1718송산약국미확인약국충청북도 증평군 증평읍 송산로 66043-838-9090043-838-90902023-08-03
1819경희약국한**약국충청북도 증평군 증평읍 중앙로 172043-836-5931043-836-59312023-08-03
1920365 백세약국미확인약국충청북도 증평군 증평읍 중동길 12043-838-3575043-838-35762023-08-03
2021시장약국미확인약국충청북도 증평군 증평읍 중앙로8길 3043-836-7573043-836-75722023-08-03
2122서울약국미확인약국충청북도 증평군 증평읍 중앙로 213043-838-4492050-4425-67232023-08-03
2223봉약국미확인약국충청북도 증평군 증평읍 중앙로 184-1043-836-4172043-836-41702023-08-03
2324옵티마서울약국미확인약국충청북도 증평군 증평읍 중앙로 110 , 가동043-838-7435043-838-75052023-08-03