Overview

Dataset statistics

Number of variables3
Number of observations35
Missing cells16
Missing cells (%)15.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory972.0 B
Average record size in memory27.8 B

Variable types

Text3

Dataset

Description부산광역시남구_치과기공소현황_20210526
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051587

Alerts

전화번호 has 16 (45.7%) missing valuesMissing
치과기공소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:37:54.291680
Analysis finished2023-12-10 16:37:54.801444
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

치과기공소명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:37:55.022579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.6
Min length4

Characters and Unicode

Total characters266
Distinct characters83
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

Unique35 ?
Unique (%)100.0%

Sample

1st row에이티기공소
2nd row예담치과기공소
3rd row하나치과기공소
4th rowW덴탈랩
5th row진치과기공소
ValueCountFrequency (%)
치과기공소 4
 
9.3%
에이티기공소 1
 
2.3%
정치과기공소 1
 
2.3%
선한치과기공소 1
 
2.3%
이보치과기공소 1
 
2.3%
하이치과기공소 1
 
2.3%
새로운치과기공소 1
 
2.3%
엘림치과기공소 1
 
2.3%
하이얀치과기공소 1
 
2.3%
은혜치과기공소 1
 
2.3%
Other values (30) 30
69.8%
2023-12-11T01:37:55.434373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 30
 
11.3%
공 30
 
11.3%
소 30
 
11.3%
치 29
 
10.9%
과 29
 
10.9%
8
 
3.0%
탈 5
 
1.9%
덴 5
 
1.9%
이 5
 
1.9%
랩 5
 
1.9%
Other values (73) 90
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
87.2%
Lowercase Letter 18
 
6.8%
Space Separator 8
 
3.0%
Uppercase Letter 6
 
2.3%
Decimal Number 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 30
12.9%
공 30
12.9%
소 30
12.9%
치 29
12.5%
과 29
12.5%
탈 5
 
2.2%
덴 5
 
2.2%
이 5
 
2.2%
랩 5
 
2.2%
하 3
 
1.3%
Other values (53) 61
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
l 3
16.7%
i 2
11.1%
n 2
11.1%
m 1
 
5.6%
g 1
 
5.6%
c 1
 
5.6%
t 1
 
5.6%
r 1
 
5.6%
s 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
Y 1
16.7%
W 1
16.7%
B 1
16.7%
P 1
16.7%
C 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 232
87.2%
Latin 24
 
9.0%
Common 10
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 30
12.9%
공 30
12.9%
소 30
12.9%
치 29
12.5%
과 29
12.5%
탈 5
 
2.2%
덴 5
 
2.2%
이 5
 
2.2%
랩 5
 
2.2%
하 3
 
1.3%
Other values (53) 61
26.3%
Latin
ValueCountFrequency (%)
e 4
16.7%
l 3
12.5%
i 2
 
8.3%
n 2
 
8.3%
M 1
 
4.2%
m 1
 
4.2%
g 1
 
4.2%
c 1
 
4.2%
t 1
 
4.2%
r 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 232
87.2%
ASCII 34
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 30
12.9%
공 30
12.9%
소 30
12.9%
치 29
12.5%
과 29
12.5%
탈 5
 
2.2%
덴 5
 
2.2%
이 5
 
2.2%
랩 5
 
2.2%
하 3
 
1.3%
Other values (53) 61
26.3%
ASCII
ValueCountFrequency (%)
8
23.5%
e 4
 
11.8%
l 3
 
8.8%
i 2
 
5.9%
n 2
 
5.9%
M 1
 
2.9%
1 1
 
2.9%
m 1
 
2.9%
g 1
 
2.9%
c 1
 
2.9%
Other values (10) 10
29.4%

소재지(도로명)
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:37:55.676607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length26.514286
Min length21

Characters and Unicode

Total characters928
Distinct characters69
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

Unique35 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 용소로 7, 청라빌딩 5층 (대연동)
2nd row부산광역시 남구 고동골로59번길 49, 2층 (문현동)
3rd row부산광역시 남구 전포대로40번길 19, 3층 (문현동)
4th row부산광역시 남구 수영로196번길 103, 2층 (대연동)
5th row부산광역시 남구 남동천로 4, 일진정밀 2층 (문현동)
ValueCountFrequency (%)
부산광역시 35
17.2%
남구 35
17.2%
문현동 16
 
7.8%
대연동 15
 
7.4%
2층 9
 
4.4%
3층 9
 
4.4%
못골로 5
 
2.5%
수영로 5
 
2.5%
8 3
 
1.5%
4층 3
 
1.5%
Other values (56) 69
33.8%
2023-12-11T01:37:56.043936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
18.2%
동 40
 
4.3%
남 38
 
4.1%
) 36
 
3.9%
( 36
 
3.9%
부 35
 
3.8%
로 35
 
3.8%
산 35
 
3.8%
시 35
 
3.8%
광 35
 
3.8%
Other values (59) 434
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 532
57.3%
Space Separator 169
 
18.2%
Decimal Number 120
 
12.9%
Close Punctuation 36
 
3.9%
Open Punctuation 36
 
3.9%
Other Punctuation 27
 
2.9%
Dash Punctuation 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
7.5%
남 38
 
7.1%
부 35
 
6.6%
로 35
 
6.6%
산 35
 
6.6%
시 35
 
6.6%
광 35
 
6.6%
구 35
 
6.6%
역 35
 
6.6%
층 22
 
4.1%
Other values (44) 187
35.2%
Decimal Number
ValueCountFrequency (%)
2 21
17.5%
3 17
14.2%
1 17
14.2%
4 13
10.8%
9 12
10.0%
7 11
9.2%
6 9
7.5%
8 8
 
6.7%
0 6
 
5.0%
5 6
 
5.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 532
57.3%
Common 396
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
7.5%
남 38
 
7.1%
부 35
 
6.6%
로 35
 
6.6%
산 35
 
6.6%
시 35
 
6.6%
광 35
 
6.6%
구 35
 
6.6%
역 35
 
6.6%
층 22
 
4.1%
Other values (44) 187
35.2%
Common
ValueCountFrequency (%)
169
42.7%
) 36
 
9.1%
( 36
 
9.1%
, 27
 
6.8%
2 21
 
5.3%
3 17
 
4.3%
1 17
 
4.3%
4 13
 
3.3%
9 12
 
3.0%
7 11
 
2.8%
Other values (5) 37
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 532
57.3%
ASCII 396
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
42.7%
) 36
 
9.1%
( 36
 
9.1%
, 27
 
6.8%
2 21
 
5.3%
3 17
 
4.3%
1 17
 
4.3%
4 13
 
3.3%
9 12
 
3.0%
7 11
 
2.8%
Other values (5) 37
 
9.3%
Hangul
ValueCountFrequency (%)
동 40
 
7.5%
남 38
 
7.1%
부 35
 
6.6%
로 35
 
6.6%
산 35
 
6.6%
시 35
 
6.6%
광 35
 
6.6%
구 35
 
6.6%
역 35
 
6.6%
층 22
 
4.1%
Other values (44) 187
35.2%

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing16
Missing (%)45.7%
Memory size412.0 B
2023-12-11T01:37:56.278636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.631579
Min length8

Characters and Unicode

Total characters221
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 row051-919-9160
2nd row636-2804
3rd row506-2801
4th row070-8888-7528
5th row051-627-6680
ValueCountFrequency (%)
051-919-9160 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%
2023-12-11T01:37:56.669230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 36
16.3%
1 28
12.7%
6 27
12.2%
0 26
11.8%
2 24
10.9%
5 23
10.4%
8 21
9.5%
3 13
 
5.9%
7 10
 
4.5%
9 9
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 185
83.7%
Dash Punctuation 36
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
15.1%
6 27
14.6%
0 26
14.1%
2 24
13.0%
5 23
12.4%
8 21
11.4%
3 13
7.0%
7 10
 
5.4%
9 9
 
4.9%
4 4
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 221
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 36
16.3%
1 28
12.7%
6 27
12.2%
0 26
11.8%
2 24
10.9%
5 23
10.4%
8 21
9.5%
3 13
 
5.9%
7 10
 
4.5%
9 9
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 36
16.3%
1 28
12.7%
6 27
12.2%
0 26
11.8%
2 24
10.9%
5 23
10.4%
8 21
9.5%
3 13
 
5.9%
7 10
 
4.5%
9 9
 
4.1%

Correlations

2023-12-11T01:37:56.771867image/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

2023-12-11T01:37:54.599664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:37:54.743307image/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
0에이티기공소부산광역시 남구 용소로 7, 청라빌딩 5층 (대연동)<NA>
1예담치과기공소부산광역시 남구 고동골로59번길 49, 2층 (문현동)<NA>
2하나치과기공소부산광역시 남구 전포대로40번길 19, 3층 (문현동)<NA>
3W덴탈랩부산광역시 남구 수영로196번길 103, 2층 (대연동)<NA>
4진치과기공소부산광역시 남구 남동천로 4, 일진정밀 2층 (문현동)<NA>
5라온덴탈랩부산광역시 남구 못골로 49-8, 2층 (대연동)<NA>
6Blue 치과기공소부산광역시 남구 고동골로 8, 3층 (문현동)051-919-9160
7올빚치과기공소부산광역시 남구 지게골로 17-7, 2층 (문현동, 금호빌딩)636-2804
8베고 P&C 치과기공소부산광역시 남구 지게골로 17-7, 202호 (문현동, 금호빌딩)506-2801
9Yes 치과기공소부산광역시 남구 유엔평화로 43, 4층 (대연동)<NA>
치과기공소명소재지(도로명)전화번호
25은혜치과기공소부산광역시 남구 우암로 63 (감만동)051-638-2326
26혼치과기공소부산광역시 남구 진남로 202-1, 4층 (문현동)<NA>
27선한치과기공소부산광역시 남구 수영로 195-8 (대연동)051-635-8226
28신흥세라믹치과기공소부산광역시 남구 유엔평화로9번길 8 (대연동)051-627-2871
29동광치과기공소부산광역시 남구 전포대로 74 (문현동)051-633-2832
30청조치과기공소부산광역시 남구 못골로 76, 2층 (대연동)051-632-8688
31메이존치과기공소부산광역시 남구 수영로 256 (대연동)051-621-6207
32팔팔덴탈랩 치과기공소부산광역시 남구 전포대로 88-4, 2층 (문현동)051-851-5275
33한마음치과기공소부산광역시 남구 못골로 77-1 (대연동)051-626-9639
34대동치과기공소부산광역시 남구 용소로28번길 16 (대연동)051-627-9922