Overview

Dataset statistics

Number of variables3
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory25.1 B

Variable types

Text3

Dataset

Description부산광역시동래구_한의원_현황_20230913
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15086176

Alerts

의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:30:40.491764
Analysis finished2023-12-10 16:30:40.780718
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T01:30:41.210151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.637931
Min length4

Characters and Unicode

Total characters654
Distinct characters154
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row상현한의원
2nd row새로이한의원
3rd row경희이대기한의원
4th row미남제일한의원
5th row명장한의원
ValueCountFrequency (%)
상현한의원 1
 
0.9%
한나라한의원 1
 
0.9%
제중한의원 1
 
0.9%
수려한의원 1
 
0.9%
조현우한의원 1
 
0.9%
도ㅇ한의원 1
 
0.9%
수림한의원 1
 
0.9%
덕산한의원 1
 
0.9%
참사랑한의원 1
 
0.9%
청현한의원 1
 
0.9%
Other values (107) 107
91.5%
2023-12-11T01:30:41.574201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 118
18.0%
의 118
18.0%
원 118
18.0%
명 7
 
1.1%
림 6
 
0.9%
청 6
 
0.9%
동 6
 
0.9%
이 6
 
0.9%
경 6
 
0.9%
리 5
 
0.8%
Other values (144) 258
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 647
98.9%
Decimal Number 6
 
0.9%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 118
18.2%
의 118
18.2%
원 118
18.2%
명 7
 
1.1%
림 6
 
0.9%
청 6
 
0.9%
동 6
 
0.9%
이 6
 
0.9%
경 6
 
0.9%
리 5
 
0.8%
Other values (140) 251
38.8%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
6 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 647
98.9%
Common 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 118
18.2%
의 118
18.2%
원 118
18.2%
명 7
 
1.1%
림 6
 
0.9%
청 6
 
0.9%
동 6
 
0.9%
이 6
 
0.9%
경 6
 
0.9%
리 5
 
0.8%
Other values (140) 251
38.8%
Common
ValueCountFrequency (%)
3 2
28.6%
6 2
28.6%
5 2
28.6%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 646
98.8%
ASCII 7
 
1.1%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 118
18.3%
의 118
18.3%
원 118
18.3%
명 7
 
1.1%
림 6
 
0.9%
청 6
 
0.9%
동 6
 
0.9%
이 6
 
0.9%
경 6
 
0.9%
리 5
 
0.8%
Other values (139) 250
38.7%
ASCII
ValueCountFrequency (%)
3 2
28.6%
6 2
28.6%
5 2
28.6%
1
14.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

의료기관주소(도로명)
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T01:30:41.921444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length40
Mean length29.181034
Min length22

Characters and Unicode

Total characters3385
Distinct characters121
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

Unique116 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 충렬대로137번길 4, 10층 (온천동)
2nd row부산광역시 동래구 사직북로 7, 세미프라자 2층 일부 (사직동)
3rd row부산광역시 동래구 충렬대로 180-10, 3층 (명륜동)
4th row부산광역시 동래구 우장춘로 7, 보민빌딩 3층 302호 (온천동)
5th row부산광역시 동래구 명장로 48, 명장1동 새마을금고 3층 (명장동)
ValueCountFrequency (%)
부산광역시 116
17.4%
동래구 116
17.4%
온천동 40
 
6.0%
2층 22
 
3.3%
사직동 21
 
3.1%
안락동 15
 
2.2%
충렬대로 14
 
2.1%
명륜동 13
 
1.9%
수안동 12
 
1.8%
아시아드대로 11
 
1.6%
Other values (199) 288
43.1%
2023-12-11T01:30:42.411542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
552
 
16.3%
동 243
 
7.2%
시 130
 
3.8%
래 122
 
3.6%
부 119
 
3.5%
산 118
 
3.5%
광 116
 
3.4%
역 116
 
3.4%
구 116
 
3.4%
) 116
 
3.4%
Other values (111) 1637
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2000
59.1%
Space Separator 552
 
16.3%
Decimal Number 504
 
14.9%
Close Punctuation 116
 
3.4%
Open Punctuation 116
 
3.4%
Other Punctuation 74
 
2.2%
Dash Punctuation 16
 
0.5%
Uppercase Letter 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 243
 
12.2%
시 130
 
6.5%
래 122
 
6.1%
부 119
 
5.9%
산 118
 
5.9%
광 116
 
5.8%
역 116
 
5.8%
구 116
 
5.8%
로 116
 
5.8%
층 56
 
2.8%
Other values (89) 748
37.4%
Decimal Number
ValueCountFrequency (%)
1 111
22.0%
2 108
21.4%
3 71
14.1%
7 42
 
8.3%
4 38
 
7.5%
0 37
 
7.3%
9 31
 
6.2%
5 28
 
5.6%
8 21
 
4.2%
6 17
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
14.3%
E 1
14.3%
K 1
14.3%
S 1
14.3%
V 1
14.3%
I 1
14.3%
W 1
14.3%
Space Separator
ValueCountFrequency (%)
552
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2000
59.1%
Common 1378
40.7%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 243
 
12.2%
시 130
 
6.5%
래 122
 
6.1%
부 119
 
5.9%
산 118
 
5.9%
광 116
 
5.8%
역 116
 
5.8%
구 116
 
5.8%
로 116
 
5.8%
층 56
 
2.8%
Other values (89) 748
37.4%
Common
ValueCountFrequency (%)
552
40.1%
) 116
 
8.4%
( 116
 
8.4%
1 111
 
8.1%
2 108
 
7.8%
, 74
 
5.4%
3 71
 
5.2%
7 42
 
3.0%
4 38
 
2.8%
0 37
 
2.7%
Other values (5) 113
 
8.2%
Latin
ValueCountFrequency (%)
B 1
14.3%
E 1
14.3%
K 1
14.3%
S 1
14.3%
V 1
14.3%
I 1
14.3%
W 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2000
59.1%
ASCII 1385
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
552
39.9%
) 116
 
8.4%
( 116
 
8.4%
1 111
 
8.0%
2 108
 
7.8%
, 74
 
5.3%
3 71
 
5.1%
7 42
 
3.0%
4 38
 
2.7%
0 37
 
2.7%
Other values (12) 120
 
8.7%
Hangul
ValueCountFrequency (%)
동 243
 
12.2%
시 130
 
6.5%
래 122
 
6.1%
부 119
 
5.9%
산 118
 
5.9%
광 116
 
5.8%
역 116
 
5.8%
구 116
 
5.8%
로 116
 
5.8%
층 56
 
2.8%
Other values (89) 748
37.4%

의료기관전화번호
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T01:30:42.672218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.896552
Min length8

Characters and Unicode

Total characters1380
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row051-501-7572~3
2nd row051-506-7571
3rd row051-555-1075
4th row051-553-0365
5th row051-523-2500
ValueCountFrequency (%)
051-501-7572~3 1
 
0.9%
051-515-7070 1
 
0.9%
051-506-1075 1
 
0.9%
051-507-1236 1
 
0.9%
051-524-5475 1
 
0.9%
051-503-7522 1
 
0.9%
051-805-4000 1
 
0.9%
051-501-1075 1
 
0.9%
051-556-7585 1
 
0.9%
051-523-5335 1
 
0.9%
Other values (106) 106
91.4%
2023-12-11T01:30:43.061505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 349
25.3%
0 226
16.4%
- 226
16.4%
1 180
13.0%
7 99
 
7.2%
2 89
 
6.4%
3 78
 
5.7%
8 45
 
3.3%
4 33
 
2.4%
6 28
 
2.0%
Other values (2) 27
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1153
83.6%
Dash Punctuation 226
 
16.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 349
30.3%
0 226
19.6%
1 180
15.6%
7 99
 
8.6%
2 89
 
7.7%
3 78
 
6.8%
8 45
 
3.9%
4 33
 
2.9%
6 28
 
2.4%
9 26
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1380
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 349
25.3%
0 226
16.4%
- 226
16.4%
1 180
13.0%
7 99
 
7.2%
2 89
 
6.4%
3 78
 
5.7%
8 45
 
3.3%
4 33
 
2.4%
6 28
 
2.0%
Other values (2) 27
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 349
25.3%
0 226
16.4%
- 226
16.4%
1 180
13.0%
7 99
 
7.2%
2 89
 
6.4%
3 78
 
5.7%
8 45
 
3.3%
4 33
 
2.4%
6 28
 
2.0%
Other values (2) 27
 
2.0%

Missing values

2023-12-11T01:30:40.679657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:30:40.752456image/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

의료기관명의료기관주소(도로명)의료기관전화번호
0상현한의원부산광역시 동래구 충렬대로137번길 4, 10층 (온천동)051-501-7572~3
1새로이한의원부산광역시 동래구 사직북로 7, 세미프라자 2층 일부 (사직동)051-506-7571
2경희이대기한의원부산광역시 동래구 충렬대로 180-10, 3층 (명륜동)051-555-1075
3미남제일한의원부산광역시 동래구 우장춘로 7, 보민빌딩 3층 302호 (온천동)051-553-0365
4명장한의원부산광역시 동래구 명장로 48, 명장1동 새마을금고 3층 (명장동)051-523-2500
5하나한의원부산광역시 동래구 온천장로65번길 9, 근린생활시설동 2층 206호 (온천동, 동래 3차 SK VIEW)051-558-1223
6해은한의원부산광역시 동래구 금강공원로 6, 1,2층 (온천동)051-514-1075
7동래장천한의원부산광역시 동래구 온천천로 77, 1층 (명륜동)051-552-2501
8가촌한의원부산광역시 동래구 명륜로 189-2, 2층 (명륜동)051-917-2175
9이승하한의원부산광역시 동래구 사직북로19번길 18, 8층 (사직동)051-506-5577
의료기관명의료기관주소(도로명)의료기관전화번호
106백암한의원부산광역시 동래구 아시아드대로 185 (사직동)051-502-0038
107도마한의원부산광역시 동래구 금강공원로 51 (온천동)051-555-9004
108광도한의원부산광역시 동래구 충렬대로255번길 30 (낙민동)051-556-8886
109안락한의원부산광역시 동래구 반송로273번길 7 (명장동)051-527-3300
110럭키한의원부산광역시 동래구 충렬대로107번길 37-1 (온천동)051-554-0550
111박정원한의원부산광역시 동래구 반송로 271 (명장동)051-527-7317
112영천배골한의원부산광역시 동래구 중앙대로1367번길 56-23 (온천동)051-554-4278
113호산한의원부산광역시 동래구 충렬대로107번길 92-4, 2층 (온천동)051-554-0007
114영춘한의원부산광역시 동래구 명륜로94번길 19 (명륜동)051-555-3310
115봉생방한의원부산광역시 동래구 동래로190번길 64 (칠산동)051-555-7147