Overview

Dataset statistics

Number of variables4
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory35.8 B

Variable types

Text3
DateTime1

Dataset

Description제주특별자치도에서 관리하는 한방 난임 치료지원 한의원과 관련한 데이터로 한의원명. 연락처, 주소 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15056005/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
한의원명 has unique valuesUnique
전화번호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:27:03.900370
Analysis finished2023-12-12 17:27:04.218829
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

한의원명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T02:27:04.394257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.7142857
Min length4

Characters and Unicode

Total characters200
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row강준혁한의원
2nd row거북이한의원
3rd row경희가족한의원
4th row경희세림한의원
5th row경희수연한의원
ValueCountFrequency (%)
강준혁한의원 1
 
2.9%
온기담은한의원 1
 
2.9%
유진한의원 1
 
2.9%
윤동원한의원 1
 
2.9%
이해성한의원 1
 
2.9%
인수한의원 1
 
2.9%
임지영한의원 1
 
2.9%
정한의원 1
 
2.9%
유광한의원 1
 
2.9%
정방한의원 1
 
2.9%
Other values (25) 25
71.4%
2023-12-13T02:27:04.823329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 37
18.5%
한 36
18.0%
의 35
17.5%
당 6
 
3.0%
경 4
 
2.0%
희 3
 
1.5%
제 3
 
1.5%
이 3
 
1.5%
수 3
 
1.5%
담 2
 
1.0%
Other values (55) 68
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 37
18.5%
한 36
18.0%
의 35
17.5%
당 6
 
3.0%
경 4
 
2.0%
희 3
 
1.5%
제 3
 
1.5%
이 3
 
1.5%
수 3
 
1.5%
담 2
 
1.0%
Other values (55) 68
34.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 37
18.5%
한 36
18.0%
의 35
17.5%
당 6
 
3.0%
경 4
 
2.0%
희 3
 
1.5%
제 3
 
1.5%
이 3
 
1.5%
수 3
 
1.5%
담 2
 
1.0%
Other values (55) 68
34.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 37
18.5%
한 36
18.0%
의 35
17.5%
당 6
 
3.0%
경 4
 
2.0%
희 3
 
1.5%
제 3
 
1.5%
이 3
 
1.5%
수 3
 
1.5%
담 2
 
1.0%
Other values (55) 68
34.0%

전화번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T02:27:05.070503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
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

Unique35 ?
Unique (%)100.0%

Sample

1st row064-763-8275
2nd row064-726-2211
3rd row064-782-0660
4th row064-767-1075
5th row064-756-5789
ValueCountFrequency (%)
064-763-8275 1
 
2.9%
064-746-9333 1
 
2.9%
064-733-6996 1
 
2.9%
064-755-2211 1
 
2.9%
064-711-1190 1
 
2.9%
064-752-3456 1
 
2.9%
064-752-0752 1
 
2.9%
064-796-7300 1
 
2.9%
064-756-1113 1
 
2.9%
064-762-7572 1
 
2.9%
Other values (25) 25
71.4%
2023-12-13T02:27:05.472167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
16.7%
7 70
16.7%
6 57
13.6%
0 53
12.6%
4 47
11.2%
5 38
9.0%
2 24
 
5.7%
1 22
 
5.2%
3 18
 
4.3%
9 14
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 70
20.0%
6 57
16.3%
0 53
15.1%
4 47
13.4%
5 38
10.9%
2 24
 
6.9%
1 22
 
6.3%
3 18
 
5.1%
9 14
 
4.0%
8 7
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 70
16.7%
7 70
16.7%
6 57
13.6%
0 53
12.6%
4 47
11.2%
5 38
9.0%
2 24
 
5.7%
1 22
 
5.2%
3 18
 
4.3%
9 14
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
16.7%
7 70
16.7%
6 57
13.6%
0 53
12.6%
4 47
11.2%
5 38
9.0%
2 24
 
5.7%
1 22
 
5.2%
3 18
 
4.3%
9 14
 
3.3%

소재지
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T02:27:05.757021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.028571
Min length18

Characters and Unicode

Total characters701
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 서문로 2-1
2nd row제주특별자치도 제주시 고마로 135
3rd row제주특별자치도 제주시 조천읍 신북로 43
4th row제주특별자치도 서귀포시 동홍북로48번길 17
5th row제주특별자치도 서귀포시 대청로 39
ValueCountFrequency (%)
제주특별자치도 35
24.3%
제주시 29
20.1%
서귀포시 6
 
4.2%
서광로 5
 
3.5%
노형로 4
 
2.8%
36 3
 
2.1%
407 2
 
1.4%
중앙로 2
 
1.4%
한림읍 2
 
1.4%
1100로 2
 
1.4%
Other values (53) 54
37.5%
2023-12-13T02:27:06.213030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
16.0%
제 64
 
9.1%
주 64
 
9.1%
도 36
 
5.1%
시 35
 
5.0%
특 35
 
5.0%
별 35
 
5.0%
자 35
 
5.0%
치 35
 
5.0%
로 32
 
4.6%
Other values (48) 218
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
68.2%
Space Separator 112
 
16.0%
Decimal Number 108
 
15.4%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 64
13.4%
주 64
13.4%
도 36
 
7.5%
시 35
 
7.3%
특 35
 
7.3%
별 35
 
7.3%
자 35
 
7.3%
치 35
 
7.3%
로 32
 
6.7%
서 13
 
2.7%
Other values (36) 94
19.7%
Decimal Number
ValueCountFrequency (%)
3 21
19.4%
1 19
17.6%
4 15
13.9%
2 12
11.1%
6 10
9.3%
7 10
9.3%
0 8
 
7.4%
8 7
 
6.5%
5 3
 
2.8%
9 3
 
2.8%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
68.2%
Common 223
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 64
13.4%
주 64
13.4%
도 36
 
7.5%
시 35
 
7.3%
특 35
 
7.3%
별 35
 
7.3%
자 35
 
7.3%
치 35
 
7.3%
로 32
 
6.7%
서 13
 
2.7%
Other values (36) 94
19.7%
Common
ValueCountFrequency (%)
112
50.2%
3 21
 
9.4%
1 19
 
8.5%
4 15
 
6.7%
2 12
 
5.4%
6 10
 
4.5%
7 10
 
4.5%
0 8
 
3.6%
8 7
 
3.1%
5 3
 
1.3%
Other values (2) 6
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
68.2%
ASCII 223
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
50.2%
3 21
 
9.4%
1 19
 
8.5%
4 15
 
6.7%
2 12
 
5.4%
6 10
 
4.5%
7 10
 
4.5%
0 8
 
3.6%
8 7
 
3.1%
5 3
 
1.3%
Other values (2) 6
 
2.7%
Hangul
ValueCountFrequency (%)
제 64
13.4%
주 64
13.4%
도 36
 
7.5%
시 35
 
7.3%
특 35
 
7.3%
별 35
 
7.3%
자 35
 
7.3%
치 35
 
7.3%
로 32
 
6.7%
서 13
 
2.7%
Other values (36) 94
19.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2020-04-24 00:00:00
Maximum2020-04-24 00:00:00
2023-12-13T02:27:06.367047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:06.491513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T02:27:06.897822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
한의원명전화번호소재지
한의원명1.0001.0001.000
전화번호1.0001.0001.000
소재지1.0001.0001.000

Missing values

2023-12-13T02:27:04.096189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:27:04.182982image/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

한의원명전화번호소재지데이터기준일자
0강준혁한의원064-763-8275제주특별자치도 서귀포시 서문로 2-12020-04-24
1거북이한의원064-726-2211제주특별자치도 제주시 고마로 1352020-04-24
2경희가족한의원064-782-0660제주특별자치도 제주시 조천읍 신북로 432020-04-24
3경희세림한의원064-767-1075제주특별자치도 서귀포시 동홍북로48번길 172020-04-24
4경희수연한의원064-756-5789제주특별자치도 서귀포시 대청로 392020-04-24
5광양한의원064-900-0450제주특별자치도 제주시 서광로 28길 192020-04-24
6김민범한의원064-746-7975제주특별자치도 제주시 노형로 3732020-04-24
7다스름한의원064-755-7522제주특별자치도 제주시 중앙로 5672020-04-24
8다임한의원064-722-1076제주특별자치도 제주시 서광로 2442020-04-24
9동인당한의원064-744-7575제주특별자치도 제주시 도령로 212020-04-24
한의원명전화번호소재지데이터기준일자
25정한의원064-796-7300제주특별자치도 제주시 한림읍 한림로 6632020-04-24
26정방한의원064-762-7572제주특별자치도 서귀포시 중앙로42번길 462020-04-24
27제원한의원064-747-7533제주특별자치도 제주시 신대로14길 362020-04-24
28제주보화당한의원064-747-8275제주특별자치도 제주시 노형로 4072020-04-24
29제중당한의원064-738-2438제주특별자치도 서귀포시 중문로 72020-04-24
30조선한의원064-712-7775제주특별자치도 제주시 진군남4길 7-12020-04-24
31한솔한의원064-748-7510제주특별자치도 제주시 연북로 362020-04-24
32혜민당한의원064-726-7575제주특별자치도 제주시 중앙로 3262020-04-24
33홍한의원064-721-5975제주특별자치도 제주시 서광로 2832020-04-24
34후한의원064-725-7510제주특별자치도 제주시 노형로 4072020-04-24