Overview

Dataset statistics

Number of variables3
Number of observations36
Missing cells17
Missing cells (%)15.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory996.0 B
Average record size in memory27.7 B

Variable types

Text3

Dataset

Description부산광역시남구_치과기공소현황_20230413
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051587

Alerts

전화번호 has 17 (47.2%) missing valuesMissing
치과기공소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:37:46.028543
Analysis finished2023-12-10 16:37:46.727348
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

치과기공소명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T01:37:46.917259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.5
Min length4

Characters and Unicode

Total characters270
Distinct characters85
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row토마토기공소
2nd row이지덴탈랩
3rd row에이티기공소
4th row예담치과기공소
5th row하나치과기공소
ValueCountFrequency (%)
치과기공소 4
 
9.1%
토마토기공소 1
 
2.3%
하이얀치과기공소 1
 
2.3%
center 1
 
2.3%
정성치과기공소 1
 
2.3%
은혜치과기공소 1
 
2.3%
이보치과기공소 1
 
2.3%
허브치과기공소 1
 
2.3%
하이치과기공소 1
 
2.3%
새로운치과기공소 1
 
2.3%
Other values (31) 31
70.5%
2023-12-11T01:37:47.300946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 30
 
11.1%
공 30
 
11.1%
소 30
 
11.1%
과 28
 
10.4%
치 28
 
10.4%
8
 
3.0%
랩 6
 
2.2%
이 6
 
2.2%
덴 6
 
2.2%
탈 6
 
2.2%
Other values (75) 92
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
87.4%
Lowercase Letter 18
 
6.7%
Space Separator 8
 
3.0%
Uppercase Letter 6
 
2.2%
Decimal Number 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 30
12.7%
공 30
12.7%
소 30
12.7%
과 28
11.9%
치 28
11.9%
랩 6
 
2.5%
이 6
 
2.5%
덴 6
 
2.5%
탈 6
 
2.5%
하 3
 
1.3%
Other values (55) 63
26.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
l 3
16.7%
i 2
11.1%
n 2
11.1%
g 1
 
5.6%
c 1
 
5.6%
t 1
 
5.6%
r 1
 
5.6%
m 1
 
5.6%
u 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
16.7%
W 1
16.7%
P 1
16.7%
C 1
16.7%
Y 1
16.7%
M 1
16.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
87.4%
Latin 24
 
8.9%
Common 10
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 30
12.7%
공 30
12.7%
소 30
12.7%
과 28
11.9%
치 28
11.9%
랩 6
 
2.5%
이 6
 
2.5%
덴 6
 
2.5%
탈 6
 
2.5%
하 3
 
1.3%
Other values (55) 63
26.7%
Latin
ValueCountFrequency (%)
e 4
16.7%
l 3
12.5%
i 2
 
8.3%
n 2
 
8.3%
g 1
 
4.2%
c 1
 
4.2%
t 1
 
4.2%
r 1
 
4.2%
m 1
 
4.2%
B 1
 
4.2%
Other values (7) 7
29.2%
Common
ValueCountFrequency (%)
8
80.0%
1 1
 
10.0%
& 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
87.4%
ASCII 34
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 30
12.7%
공 30
12.7%
소 30
12.7%
과 28
11.9%
치 28
11.9%
랩 6
 
2.5%
이 6
 
2.5%
덴 6
 
2.5%
탈 6
 
2.5%
하 3
 
1.3%
Other values (55) 63
26.7%
ASCII
ValueCountFrequency (%)
8
23.5%
e 4
 
11.8%
l 3
 
8.8%
i 2
 
5.9%
n 2
 
5.9%
g 1
 
2.9%
c 1
 
2.9%
t 1
 
2.9%
r 1
 
2.9%
m 1
 
2.9%
Other values (10) 10
29.4%

소재지(도로명)
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T01:37:47.575176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length26.833333
Min length21

Characters and Unicode

Total characters966
Distinct characters70
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 지게골로 17-7, 금호빌딩 2층 201호 (문현동)
2nd row부산광역시 남구 장고개로93번길 34, 1층 (문현동)
3rd row부산광역시 남구 용소로 7, 청라빌딩 5층 (대연동)
4th row부산광역시 남구 유엔평화로 159, 3층 (용당동)
5th row부산광역시 남구 전포대로40번길 19, 3층 (문현동)
ValueCountFrequency (%)
부산광역시 36
17.1%
남구 36
17.1%
대연동 16
 
7.6%
문현동 15
 
7.1%
2층 9
 
4.3%
3층 8
 
3.8%
못골로 5
 
2.4%
수영로 5
 
2.4%
4층 4
 
1.9%
17-7 3
 
1.4%
Other values (57) 73
34.8%
2023-12-11T01:37:48.040549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
 
18.0%
동 39
 
4.0%
남 39
 
4.0%
( 37
 
3.8%
) 37
 
3.8%
부 36
 
3.7%
로 36
 
3.7%
산 36
 
3.7%
구 36
 
3.7%
시 36
 
3.7%
Other values (60) 460
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 550
56.9%
Space Separator 174
 
18.0%
Decimal Number 133
 
13.8%
Open Punctuation 37
 
3.8%
Close Punctuation 37
 
3.8%
Other Punctuation 26
 
2.7%
Dash Punctuation 9
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
7.1%
남 39
 
7.1%
부 36
 
6.5%
로 36
 
6.5%
산 36
 
6.5%
구 36
 
6.5%
시 36
 
6.5%
역 36
 
6.5%
광 36
 
6.5%
층 23
 
4.2%
Other values (45) 197
35.8%
Decimal Number
ValueCountFrequency (%)
2 24
18.0%
1 23
17.3%
3 17
12.8%
4 13
9.8%
7 13
9.8%
9 11
8.3%
6 10
7.5%
8 8
 
6.0%
5 7
 
5.3%
0 7
 
5.3%
Space Separator
ValueCountFrequency (%)
174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 550
56.9%
Common 416
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
7.1%
남 39
 
7.1%
부 36
 
6.5%
로 36
 
6.5%
산 36
 
6.5%
구 36
 
6.5%
시 36
 
6.5%
역 36
 
6.5%
광 36
 
6.5%
층 23
 
4.2%
Other values (45) 197
35.8%
Common
ValueCountFrequency (%)
174
41.8%
( 37
 
8.9%
) 37
 
8.9%
, 26
 
6.2%
2 24
 
5.8%
1 23
 
5.5%
3 17
 
4.1%
4 13
 
3.1%
7 13
 
3.1%
9 11
 
2.6%
Other values (5) 41
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 550
56.9%
ASCII 416
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
41.8%
( 37
 
8.9%
) 37
 
8.9%
, 26
 
6.2%
2 24
 
5.8%
1 23
 
5.5%
3 17
 
4.1%
4 13
 
3.1%
7 13
 
3.1%
9 11
 
2.6%
Other values (5) 41
 
9.9%
Hangul
ValueCountFrequency (%)
동 39
 
7.1%
남 39
 
7.1%
부 36
 
6.5%
로 36
 
6.5%
산 36
 
6.5%
구 36
 
6.5%
시 36
 
6.5%
역 36
 
6.5%
광 36
 
6.5%
층 23
 
4.2%
Other values (45) 197
35.8%

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing17
Missing (%)47.2%
Memory size420.0 B
2023-12-11T01:37:48.272962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052632
Min length12

Characters and Unicode

Total characters229
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

Unique19 ?
Unique (%)100.0%

Sample

1st row051-634-2804
2nd row051-919-9160
3rd row051-636-2804
4th row051-506-2801
5th row070-8888-7528
ValueCountFrequency (%)
051-634-2804 1
 
5.3%
051-638-2326 1
 
5.3%
051-626-9639 1
 
5.3%
051-851-5275 1
 
5.3%
051-621-6207 1
 
5.3%
051-632-8688 1
 
5.3%
051-633-2832 1
 
5.3%
051-627-2871 1
 
5.3%
051-635-8226 1
 
5.3%
051-628-3199 1
 
5.3%
Other values (9) 9
47.4%
2023-12-11T01:37:48.634390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 38
16.6%
1 29
12.7%
0 28
12.2%
6 26
11.4%
2 25
10.9%
5 24
10.5%
8 22
9.6%
3 13
 
5.7%
7 10
 
4.4%
9 9
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 191
83.4%
Dash Punctuation 38
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
15.2%
0 28
14.7%
6 26
13.6%
2 25
13.1%
5 24
12.6%
8 22
11.5%
3 13
6.8%
7 10
 
5.2%
9 9
 
4.7%
4 5
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 38
16.6%
1 29
12.7%
0 28
12.2%
6 26
11.4%
2 25
10.9%
5 24
10.5%
8 22
9.6%
3 13
 
5.7%
7 10
 
4.4%
9 9
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 38
16.6%
1 29
12.7%
0 28
12.2%
6 26
11.4%
2 25
10.9%
5 24
10.5%
8 22
9.6%
3 13
 
5.7%
7 10
 
4.4%
9 9
 
3.9%

Correlations

2023-12-11T01:37:48.755555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
치과기공소명소재지(도로명)전화번호
치과기공소명1.0001.0001.000
소재지(도로명)1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-11T01:37:46.264576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:37:46.685365image/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

치과기공소명소재지(도로명)전화번호
0토마토기공소부산광역시 남구 지게골로 17-7, 금호빌딩 2층 201호 (문현동)<NA>
1이지덴탈랩부산광역시 남구 장고개로93번길 34, 1층 (문현동)<NA>
2에이티기공소부산광역시 남구 용소로 7, 청라빌딩 5층 (대연동)<NA>
3예담치과기공소부산광역시 남구 유엔평화로 159, 3층 (용당동)051-634-2804
4하나치과기공소부산광역시 남구 전포대로40번길 19, 3층 (문현동)<NA>
5W덴탈랩부산광역시 남구 수영로196번길 103, 2층 (대연동)<NA>
6진치과기공소부산광역시 남구 남동천로 4, 일진정밀 2층 (문현동)<NA>
7라온덴탈랩부산광역시 남구 못골로 49-8, 2층 (대연동)<NA>
8Blue 치과기공소부산광역시 남구 고동골로 8, 3층 (문현동)051-919-9160
9올빚치과기공소부산광역시 남구 지게골로 17-7, 금호빌딩 4층 (문현동)051-636-2804
치과기공소명소재지(도로명)전화번호
26은혜치과기공소부산광역시 남구 석포로 31, 4층 (감만동)051-638-2326
27혼치과기공소부산광역시 남구 진남로 202-1, 4층 (문현동)<NA>
28선한치과기공소부산광역시 남구 수영로 195-8 (대연동)051-635-8226
29신흥세라믹치과기공소부산광역시 남구 유엔평화로9번길 8 (대연동)051-627-2871
30동광치과기공소부산광역시 남구 전포대로 74 (문현동)051-633-2832
31청조치과기공소부산광역시 남구 못골로 76, 2층 (대연동)051-632-8688
32메이존치과기공소부산광역시 남구 수영로 256 (대연동)051-621-6207
33팔팔덴탈랩 치과기공소부산광역시 남구 전포대로 88-4, 2층 (문현동)051-851-5275
34한마음치과기공소부산광역시 남구 못골로 77-1 (대연동)051-626-9639
35대동치과기공소부산광역시 남구 용소로28번길 16 (대연동)051-627-9922