Overview

Dataset statistics

Number of variables3
Number of observations114
Missing cells5
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory25.2 B

Variable types

Text3

Dataset

Description경상남도 양산시의 의료기관 정보를 확인할 수 있는 공공데이터입니다. 의료기관명,종별,도로명주소,데이터기준일 등 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3065865

Alerts

전화번호 has 5 (4.4%) missing valuesMissing
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:43:17.422335
Analysis finished2023-12-10 23:43:17.727056
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

약국명
Text

Distinct112
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T08:43:17.961948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.7807018
Min length3

Characters and Unicode

Total characters545
Distinct characters156
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

Unique110 ?
Unique (%)96.5%

Sample

1st row올리브약국
2nd row명동약국
3rd row남부약국
4th row미소가있는약국
5th row송약국
ValueCountFrequency (%)
열린약국 2
 
1.7%
약국 2
 
1.7%
수약국 2
 
1.7%
하나약국 1
 
0.9%
가촌온누리약국 1
 
0.9%
비타약국 1
 
0.9%
평화약국 1
 
0.9%
우리들약국 1
 
0.9%
우리네약국 1
 
0.9%
대학약국 1
 
0.9%
Other values (104) 104
88.9%
2023-12-11T08:43:18.358964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 114
20.9%
국 114
20.9%
대 11
 
2.0%
한 9
 
1.7%
리 9
 
1.7%
명 8
 
1.5%
일 6
 
1.1%
새 6
 
1.1%
동 5
 
0.9%
사 5
 
0.9%
Other values (146) 258
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 541
99.3%
Space Separator 3
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 114
21.1%
국 114
21.1%
대 11
 
2.0%
한 9
 
1.7%
리 9
 
1.7%
명 8
 
1.5%
일 6
 
1.1%
새 6
 
1.1%
동 5
 
0.9%
사 5
 
0.9%
Other values (144) 254
47.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 541
99.3%
Common 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 114
21.1%
국 114
21.1%
대 11
 
2.0%
한 9
 
1.7%
리 9
 
1.7%
명 8
 
1.5%
일 6
 
1.1%
새 6
 
1.1%
동 5
 
0.9%
사 5
 
0.9%
Other values (144) 254
47.0%
Common
ValueCountFrequency (%)
3
75.0%
1 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 541
99.3%
ASCII 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 114
21.1%
국 114
21.1%
대 11
 
2.0%
한 9
 
1.7%
리 9
 
1.7%
명 8
 
1.5%
일 6
 
1.1%
새 6
 
1.1%
동 5
 
0.9%
사 5
 
0.9%
Other values (144) 254
47.0%
ASCII
ValueCountFrequency (%)
3
75.0%
1 1
 
25.0%

소재지
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T08:43:18.600971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length26.763158
Min length18

Characters and Unicode

Total characters3051
Distinct characters154
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

Unique114 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 물금읍 청운로 185, 117호
2nd row경상남도 양산시 명동뒷길 54 (명동)
3rd row경상남도 양산시 중앙로 124, 1층 (남부동)
4th row경상남도 양산시 동면 금오13길 4, 102호 (네오스퀘어)
5th row경상남도 양산시 동면 금오로 255, 105호
ValueCountFrequency (%)
경상남도 114
 
16.9%
양산시 114
 
16.9%
물금읍 28
 
4.1%
1층 27
 
4.0%
중부동 22
 
3.3%
덕계동 13
 
1.9%
삼호동 13
 
1.9%
덕계로 12
 
1.8%
서창로 9
 
1.3%
중앙로 6
 
0.9%
Other values (212) 318
47.0%
2023-12-11T08:43:18.949051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
562
18.4%
1 154
 
5.0%
산 140
 
4.6%
양 135
 
4.4%
상 126
 
4.1%
남 120
 
3.9%
시 119
 
3.9%
도 116
 
3.8%
경 114
 
3.7%
동 89
 
2.9%
Other values (144) 1376
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1787
58.6%
Space Separator 562
 
18.4%
Decimal Number 435
 
14.3%
Close Punctuation 87
 
2.9%
Open Punctuation 87
 
2.9%
Other Punctuation 76
 
2.5%
Dash Punctuation 12
 
0.4%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 140
 
7.8%
양 135
 
7.6%
상 126
 
7.1%
남 120
 
6.7%
시 119
 
6.7%
도 116
 
6.5%
경 114
 
6.4%
동 89
 
5.0%
로 82
 
4.6%
호 51
 
2.9%
Other values (125) 695
38.9%
Decimal Number
ValueCountFrequency (%)
1 154
35.4%
2 50
 
11.5%
0 42
 
9.7%
5 33
 
7.6%
3 33
 
7.6%
4 29
 
6.7%
6 28
 
6.4%
7 24
 
5.5%
9 23
 
5.3%
8 19
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
A 1
20.0%
C 1
20.0%
Y 1
20.0%
Space Separator
ValueCountFrequency (%)
562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1787
58.6%
Common 1259
41.3%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 140
 
7.8%
양 135
 
7.6%
상 126
 
7.1%
남 120
 
6.7%
시 119
 
6.7%
도 116
 
6.5%
경 114
 
6.4%
동 89
 
5.0%
로 82
 
4.6%
호 51
 
2.9%
Other values (125) 695
38.9%
Common
ValueCountFrequency (%)
562
44.6%
1 154
 
12.2%
) 87
 
6.9%
( 87
 
6.9%
, 76
 
6.0%
2 50
 
4.0%
0 42
 
3.3%
5 33
 
2.6%
3 33
 
2.6%
4 29
 
2.3%
Other values (5) 106
 
8.4%
Latin
ValueCountFrequency (%)
B 2
40.0%
A 1
20.0%
C 1
20.0%
Y 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1787
58.6%
ASCII 1264
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
562
44.5%
1 154
 
12.2%
) 87
 
6.9%
( 87
 
6.9%
, 76
 
6.0%
2 50
 
4.0%
0 42
 
3.3%
5 33
 
2.6%
3 33
 
2.6%
4 29
 
2.3%
Other values (9) 111
 
8.8%
Hangul
ValueCountFrequency (%)
산 140
 
7.8%
양 135
 
7.6%
상 126
 
7.1%
남 120
 
6.7%
시 119
 
6.7%
도 116
 
6.5%
경 114
 
6.4%
동 89
 
5.0%
로 82
 
4.6%
호 51
 
2.9%
Other values (125) 695
38.9%

전화번호
Text

MISSING 

Distinct109
Distinct (%)100.0%
Missing5
Missing (%)4.4%
Memory size1.0 KiB
2023-12-11T08:43:19.164508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009174
Min length12

Characters and Unicode

Total characters1309
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

Unique109 ?
Unique (%)100.0%

Sample

1st row055-910-8587
2nd row055-363-9537
3rd row055-384-7717
4th row055-383-7557
5th row055-912-0222
ValueCountFrequency (%)
055-387-3815 1
 
0.9%
055-386-8668 1
 
0.9%
055-363-6776 1
 
0.9%
055-364-2120 1
 
0.9%
055-365-4434 1
 
0.9%
055-367-5335 1
 
0.9%
055-374-6322 1
 
0.9%
055-374-2356 1
 
0.9%
055-364-5525 1
 
0.9%
055-385-6933 1
 
0.9%
Other values (99) 99
90.8%
2023-12-11T08:43:19.564305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 294
22.5%
- 218
16.7%
3 173
13.2%
0 159
12.1%
6 102
 
7.8%
8 92
 
7.0%
7 73
 
5.6%
4 56
 
4.3%
2 55
 
4.2%
1 47
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1091
83.3%
Dash Punctuation 218
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 294
26.9%
3 173
15.9%
0 159
14.6%
6 102
 
9.3%
8 92
 
8.4%
7 73
 
6.7%
4 56
 
5.1%
2 55
 
5.0%
1 47
 
4.3%
9 40
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 294
22.5%
- 218
16.7%
3 173
13.2%
0 159
12.1%
6 102
 
7.8%
8 92
 
7.0%
7 73
 
5.6%
4 56
 
4.3%
2 55
 
4.2%
1 47
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 294
22.5%
- 218
16.7%
3 173
13.2%
0 159
12.1%
6 102
 
7.8%
8 92
 
7.0%
7 73
 
5.6%
4 56
 
4.3%
2 55
 
4.2%
1 47
 
3.6%

Missing values

2023-12-11T08:43:17.636662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:43:17.701576image/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

약국명소재지전화번호
0올리브약국경상남도 양산시 물금읍 청운로 185, 117호055-910-8587
1명동약국경상남도 양산시 명동뒷길 54 (명동)055-363-9537
2남부약국경상남도 양산시 중앙로 124, 1층 (남부동)055-384-7717
3미소가있는약국경상남도 양산시 동면 금오13길 4, 102호 (네오스퀘어)055-383-7557
4송약국경상남도 양산시 동면 금오로 255, 105호055-912-0222
5참행복약국경상남도 양산시 양산역6길 12, 1층 (중부동, 이마트내)<NA>
6아이맘약국경상남도 양산시 물금읍 야리로 127, 110호 (플러스존)055-366-9749
7청어람약국경상남도 양산시 양주로 98, 204호 (남부동, 청어람아파트 상가)055-363-5992
8나래약국경상남도 양산시 물금읍 새실로 159, A동 105호 (나래메트로시티)055-388-6644
9연두약국경상남도 양산시 물금읍 새실로 159, B동 102호 (나래메트로시티)055-365-3378
약국명소재지전화번호
104대영약국경상남도 양산시 북안남6길 13 (북부동, 대영약국)055-385-1856
105신일약국경상남도 양산시 신기로 24 (신기동)055-384-6878
106럭키약국경상남도 양산시 덕계로 113 (덕계동)055-367-8841
107동명당약국경상남도 양산시 삼호동부7길 26 (삼호동)055-365-2584
108새무궁화약국경상남도 양산시 장터1길 5-6 (중부동)055-386-5000
109보민약국경상남도 양산시 신기서길 31 (신기동)055-387-3988
110보건약국경상남도 양산시 삼성1길 17 (북정동)055-382-4050
111부부약국경상남도 양산시 서창로 186, 1층 (삼호동, 부부약국)055-365-1195
112세명약국경상남도 양산시 서창로 190 (삼호동)055-365-2419
113태백약국경상남도 양산시 중앙로 165 (북부동)055-384-3558