Overview

Dataset statistics

Number of variables4
Number of observations169
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory32.8 B

Variable types

Text3
Categorical1

Dataset

Description보건의료 지역보건 업무 관련 제주특별자치도 제주시 관내 치과 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056081/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:05:14.875716
Analysis finished2023-12-12 07:05:15.170221
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:05:15.315406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.4319527
Min length5

Characters and Unicode

Total characters1256
Distinct characters206
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

Unique169 ?
Unique (%)100.0%

Sample

1st row그랜드치과병원
2nd row올바른치과의원
3rd row제일플란트치과의원
4th row새로이치과교정과치과의원
5th row에이플러스치과의원
ValueCountFrequency (%)
치과의원 7
 
3.9%
그랜드치과병원 1
 
0.6%
박치과의원 1
 
0.6%
김형섭치과의원 1
 
0.6%
하귀치과의원 1
 
0.6%
고산치과의원 1
 
0.6%
사랑의치과의원 1
 
0.6%
예치과의원 1
 
0.6%
샌프란시스코치과의원 1
 
0.6%
고봉석치과의원 1
 
0.6%
Other values (163) 163
91.1%
2023-12-12T16:05:15.644079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 181
 
14.4%
치 177
 
14.1%
원 174
 
13.9%
의 170
 
13.5%
이 25
 
2.0%
김 15
 
1.2%
서 13
 
1.0%
세 13
 
1.0%
아 12
 
1.0%
울 12
 
1.0%
Other values (196) 464
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1227
97.7%
Space Separator 10
 
0.8%
Lowercase Letter 5
 
0.4%
Dash Punctuation 4
 
0.3%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 181
14.8%
치 177
14.4%
원 174
 
14.2%
의 170
 
13.9%
이 25
 
2.0%
김 15
 
1.2%
서 13
 
1.1%
세 13
 
1.1%
아 12
 
1.0%
울 12
 
1.0%
Other values (187) 435
35.5%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
I 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1227
97.7%
Common 21
 
1.7%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 181
14.8%
치 177
14.4%
원 174
 
14.2%
의 170
 
13.9%
이 25
 
2.0%
김 15
 
1.2%
서 13
 
1.1%
세 13
 
1.1%
아 12
 
1.0%
울 12
 
1.0%
Other values (187) 435
35.5%
Common
ValueCountFrequency (%)
10
47.6%
- 4
 
19.0%
. 3
 
14.3%
( 2
 
9.5%
) 2
 
9.5%
Latin
ValueCountFrequency (%)
e 5
62.5%
V 1
 
12.5%
I 1
 
12.5%
P 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1227
97.7%
ASCII 29
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 181
14.8%
치 177
14.4%
원 174
 
14.2%
의 170
 
13.9%
이 25
 
2.0%
김 15
 
1.2%
서 13
 
1.1%
세 13
 
1.1%
아 12
 
1.0%
울 12
 
1.0%
Other values (187) 435
35.5%
ASCII
ValueCountFrequency (%)
10
34.5%
e 5
17.2%
- 4
 
13.8%
. 3
 
10.3%
( 2
 
6.9%
) 2
 
6.9%
V 1
 
3.4%
I 1
 
3.4%
P 1
 
3.4%

주소
Text

Distinct167
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:05:15.999754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length19.449704
Min length17

Characters and Unicode

Total characters3287
Distinct characters78
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

Unique165 ?
Unique (%)97.6%

Sample

1st row제주특별자치도 제주시 서광로 301
2nd row제주특별자치도 제주시 조천읍 신북로 524
3rd row제주특별자치도 제주시 중앙로 302
4th row제주특별자치도 제주시 연북로 30
5th row제주특별자치도 제주시 번영로 510
ValueCountFrequency (%)
제주특별자치도 169
24.2%
제주시 169
24.2%
중앙로 25
 
3.6%
연북로 13
 
1.9%
서광로 12
 
1.7%
동광로 8
 
1.1%
월랑로 7
 
1.0%
고마로 6
 
0.9%
신북로 6
 
0.9%
도령로 6
 
0.9%
Other values (179) 276
39.6%
2023-12-12T16:05:16.717945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
572
17.4%
주 349
10.6%
제 338
10.3%
도 177
 
5.4%
특 169
 
5.1%
별 169
 
5.1%
자 169
 
5.1%
치 169
 
5.1%
시 169
 
5.1%
로 163
 
5.0%
Other values (68) 843
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2266
68.9%
Space Separator 572
 
17.4%
Decimal Number 441
 
13.4%
Dash Punctuation 6
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 349
15.4%
제 338
14.9%
도 177
7.8%
특 169
7.5%
별 169
7.5%
자 169
7.5%
치 169
7.5%
시 169
7.5%
로 163
7.2%
중 29
 
1.3%
Other values (55) 365
16.1%
Decimal Number
ValueCountFrequency (%)
1 82
18.6%
3 67
15.2%
2 59
13.4%
4 45
10.2%
5 38
8.6%
0 37
8.4%
8 32
 
7.3%
6 30
 
6.8%
7 29
 
6.6%
9 22
 
5.0%
Space Separator
ValueCountFrequency (%)
572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2266
68.9%
Common 1021
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 349
15.4%
제 338
14.9%
도 177
7.8%
특 169
7.5%
별 169
7.5%
자 169
7.5%
치 169
7.5%
시 169
7.5%
로 163
7.2%
중 29
 
1.3%
Other values (55) 365
16.1%
Common
ValueCountFrequency (%)
572
56.0%
1 82
 
8.0%
3 67
 
6.6%
2 59
 
5.8%
4 45
 
4.4%
5 38
 
3.7%
0 37
 
3.6%
8 32
 
3.1%
6 30
 
2.9%
7 29
 
2.8%
Other values (3) 30
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2266
68.9%
ASCII 1021
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
572
56.0%
1 82
 
8.0%
3 67
 
6.6%
2 59
 
5.8%
4 45
 
4.4%
5 38
 
3.7%
0 37
 
3.6%
8 32
 
3.1%
6 30
 
2.9%
7 29
 
2.8%
Other values (3) 30
 
2.9%
Hangul
ValueCountFrequency (%)
주 349
15.4%
제 338
14.9%
도 177
7.8%
특 169
7.5%
별 169
7.5%
자 169
7.5%
치 169
7.5%
시 169
7.5%
로 163
7.2%
중 29
 
1.3%
Other values (55) 365
16.1%

전화번호
Text

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:05:16.975452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2028
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

Unique169 ?
Unique (%)100.0%

Sample

1st row064-728-0000
2nd row064-783-8797
3rd row064-755-2828
4th row064-744-2825
5th row064-755-1102
ValueCountFrequency (%)
064-728-0000 1
 
0.6%
064-784-2275 1
 
0.6%
064-713-7900 1
 
0.6%
064-772-4636 1
 
0.6%
064-725-2872 1
 
0.6%
064-745-2900 1
 
0.6%
064-748-2875 1
 
0.6%
064-756-2878 1
 
0.6%
064-746-7528 1
 
0.6%
064-724-5275 1
 
0.6%
Other values (159) 159
94.1%
2023-12-12T16:05:17.383292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 338
16.7%
7 278
13.7%
0 256
12.6%
4 252
12.4%
2 249
12.3%
6 206
10.2%
5 146
7.2%
8 140
6.9%
1 57
 
2.8%
3 57
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1690
83.3%
Dash Punctuation 338
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 278
16.4%
0 256
15.1%
4 252
14.9%
2 249
14.7%
6 206
12.2%
5 146
8.6%
8 140
8.3%
1 57
 
3.4%
3 57
 
3.4%
9 49
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2028
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 338
16.7%
7 278
13.7%
0 256
12.6%
4 252
12.4%
2 249
12.3%
6 206
10.2%
5 146
7.2%
8 140
6.9%
1 57
 
2.8%
3 57
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 338
16.7%
7 278
13.7%
0 256
12.6%
4 252
12.4%
2 249
12.3%
6 206
10.2%
5 146
7.2%
8 140
6.9%
1 57
 
2.8%
3 57
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2021-09-07
169 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-07
2nd row2021-09-07
3rd row2021-09-07
4th row2021-09-07
5th row2021-09-07

Common Values

ValueCountFrequency (%)
2021-09-07 169
100.0%

Length

2023-12-12T16:05:17.568839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:05:17.720742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-07 169
100.0%

Missing values

2023-12-12T16:05:15.067247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:05:15.139169image/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

의료기관명주소전화번호데이터기준일자
0그랜드치과병원제주특별자치도 제주시 서광로 301064-728-00002021-09-07
1올바른치과의원제주특별자치도 제주시 조천읍 신북로 524064-783-87972021-09-07
2제일플란트치과의원제주특별자치도 제주시 중앙로 302064-755-28282021-09-07
3새로이치과교정과치과의원제주특별자치도 제주시 연북로 30064-744-28252021-09-07
4에이플러스치과의원제주특별자치도 제주시 번영로 510064-755-11022021-09-07
5큐치과의원제주특별자치도 제주시 연북로 34064-725-00012021-09-07
6서울차앤김치과의원제주특별자치도 제주시 중앙로 380064-702-28792021-09-07
7아이엠플란트치과의원제주특별자치도 제주시 월랑로 5064-747-28002021-09-07
8제주의료소비자협동조합 하늘치과의원제주특별자치도 제주시 조천읍 신북로 460064-784-28042021-09-07
9수목원소아치과치과의원제주특별자치도 제주시 수목원길 12064-711-77102021-09-07
의료기관명주소전화번호데이터기준일자
159장원석치과의원제주특별자치도 제주시 연삼로 510064-722-28182021-09-07
160이하얀치과의원제주특별자치도 제주시 관덕로 64064-751-00112021-09-07
161이치과의원제주특별자치도 제주시 동화로 28064-723-28752021-09-07
162오복치과의원제주특별자치도 제주시 도령로 76064-743-28752021-09-07
163강치과의원제주특별자치도 제주시 신광로 48064-742-28752021-09-07
164명치과의원제주특별자치도 제주시 동문로 45064-722-67002021-09-07
165부용철치과의원제주특별자치도 제주시 중앙로 84064-758-42812021-09-07
166김광주치과의원제주특별자치도 제주시 신광로 33-1064-747-19192021-09-07
167임승찬치과의원제주특별자치도 제주시 중앙로 235064-757-17172021-09-07
168영도치과의원제주특별자치도 제주시 중앙로 51064-722-28812021-09-07