Overview

Dataset statistics

Number of variables3
Number of observations55
Missing cells1
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory26.4 B

Variable types

Text3

Dataset

Description부산광역시_동래구_착한가격업소현황_20230321
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15011936

Alerts

전화번호 has 1 (1.8%) missing valuesMissing
상호 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:32:18.072950
Analysis finished2023-12-10 16:32:18.402129
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T01:32:18.602248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length5.8727273
Min length2

Characters and Unicode

Total characters323
Distinct characters161
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

Unique55 ?
Unique (%)100.0%

Sample

1st row지지미용실
2nd row논두렁추어탕
3rd row희망통닭
4th row송화루
5th row만점숯불갈비
ValueCountFrequency (%)
지지미용실 1
 
1.6%
미남칼국수 1
 
1.6%
가온밀면 1
 
1.6%
하림오리마을 1
 
1.6%
하동녹차팥빙수 1
 
1.6%
원조본가산곰장어집 1
 
1.6%
선우이발원 1
 
1.6%
h헤어 1
 
1.6%
미남숯불구이 1
 
1.6%
먹을래싸갈래 1
 
1.6%
Other values (52) 52
83.9%
2023-12-11T01:32:18.992253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 13
 
4.0%
수 11
 
3.4%
이 8
 
2.5%
7
 
2.2%
미 7
 
2.2%
집 6
 
1.9%
어 5
 
1.5%
원 5
 
1.5%
구 5
 
1.5%
갈 4
 
1.2%
Other values (151) 252
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
95.4%
Space Separator 7
 
2.2%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%
Other Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 13
 
4.2%
수 11
 
3.6%
이 8
 
2.6%
미 7
 
2.3%
집 6
 
1.9%
어 5
 
1.6%
원 5
 
1.6%
구 5
 
1.6%
갈 4
 
1.3%
밥 4
 
1.3%
Other values (146) 240
77.9%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
95.4%
Common 14
 
4.3%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 13
 
4.2%
수 11
 
3.6%
이 8
 
2.6%
미 7
 
2.3%
집 6
 
1.9%
어 5
 
1.6%
원 5
 
1.6%
구 5
 
1.6%
갈 4
 
1.3%
밥 4
 
1.3%
Other values (146) 240
77.9%
Common
ValueCountFrequency (%)
7
50.0%
( 3
21.4%
) 3
21.4%
. 1
 
7.1%
Latin
ValueCountFrequency (%)
H 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
95.4%
ASCII 15
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 13
 
4.2%
수 11
 
3.6%
이 8
 
2.6%
미 7
 
2.3%
집 6
 
1.9%
어 5
 
1.6%
원 5
 
1.6%
구 5
 
1.6%
갈 4
 
1.3%
밥 4
 
1.3%
Other values (146) 240
77.9%
ASCII
ValueCountFrequency (%)
7
46.7%
( 3
20.0%
) 3
20.0%
. 1
 
6.7%
H 1
 
6.7%

도로명주소
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T01:32:19.213005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length27.345455
Min length21

Characters and Unicode

Total characters1504
Distinct characters71
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

Unique55 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 금강공원로20번길 65 (온천동)
2nd row부산광역시 동래구 명륜로139번길 42-5 (명륜동)
3rd row부산광역시 동래구 명륜로98번길 94 (낙민동)
4th row부산광역시 동래구 아시아드대로207번길 9 (온천동)
5th row부산광역시 동래구 명륜로98번길 18 (수안동)
ValueCountFrequency (%)
부산광역시 55
20.1%
동래구 55
20.1%
온천동 15
 
5.5%
명륜동 9
 
3.3%
사직동 8
 
2.9%
수안동 7
 
2.6%
명장동 6
 
2.2%
1층 6
 
2.2%
안락동 5
 
1.8%
명륜로98번길 3
 
1.1%
Other values (96) 105
38.3%
2023-12-11T01:32:19.609103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
14.6%
동 115
 
7.6%
시 59
 
3.9%
래 59
 
3.9%
부 55
 
3.7%
광 55
 
3.7%
역 55
 
3.7%
구 55
 
3.7%
( 55
 
3.7%
산 55
 
3.7%
Other values (61) 722
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 909
60.4%
Decimal Number 244
 
16.2%
Space Separator 219
 
14.6%
Open Punctuation 55
 
3.7%
Close Punctuation 55
 
3.7%
Other Punctuation 12
 
0.8%
Dash Punctuation 10
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 115
 
12.7%
시 59
 
6.5%
래 59
 
6.5%
부 55
 
6.1%
광 55
 
6.1%
역 55
 
6.1%
구 55
 
6.1%
산 55
 
6.1%
로 53
 
5.8%
길 41
 
4.5%
Other values (46) 307
33.8%
Decimal Number
ValueCountFrequency (%)
1 53
21.7%
2 47
19.3%
3 25
10.2%
4 24
9.8%
9 23
9.4%
8 20
 
8.2%
0 17
 
7.0%
7 14
 
5.7%
6 12
 
4.9%
5 9
 
3.7%
Space Separator
ValueCountFrequency (%)
219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 909
60.4%
Common 595
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 115
 
12.7%
시 59
 
6.5%
래 59
 
6.5%
부 55
 
6.1%
광 55
 
6.1%
역 55
 
6.1%
구 55
 
6.1%
산 55
 
6.1%
로 53
 
5.8%
길 41
 
4.5%
Other values (46) 307
33.8%
Common
ValueCountFrequency (%)
219
36.8%
( 55
 
9.2%
) 55
 
9.2%
1 53
 
8.9%
2 47
 
7.9%
3 25
 
4.2%
4 24
 
4.0%
9 23
 
3.9%
8 20
 
3.4%
0 17
 
2.9%
Other values (5) 57
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 909
60.4%
ASCII 595
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
36.8%
( 55
 
9.2%
) 55
 
9.2%
1 53
 
8.9%
2 47
 
7.9%
3 25
 
4.2%
4 24
 
4.0%
9 23
 
3.9%
8 20
 
3.4%
0 17
 
2.9%
Other values (5) 57
 
9.6%
Hangul
ValueCountFrequency (%)
동 115
 
12.7%
시 59
 
6.5%
래 59
 
6.5%
부 55
 
6.1%
광 55
 
6.1%
역 55
 
6.1%
구 55
 
6.1%
산 55
 
6.1%
로 53
 
5.8%
길 41
 
4.5%
Other values (46) 307
33.8%

전화번호
Text

MISSING 

Distinct54
Distinct (%)100.0%
Missing1
Missing (%)1.8%
Memory size572.0 B
2023-12-11T01:32:19.855781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018519
Min length12

Characters and Unicode

Total characters649
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

Unique54 ?
Unique (%)100.0%

Sample

1st row051-556-2298
2nd row051-553-5769
3rd row051-555-0073
4th row051-504-5415
5th row051-558-2240
ValueCountFrequency (%)
051-556-2298 1
 
1.9%
051-531-3378 1
 
1.9%
051-555-6363 1
 
1.9%
051-502-1009 1
 
1.9%
051-503-3639 1
 
1.9%
051-555-3358 1
 
1.9%
051-553-8377 1
 
1.9%
051-556-2804 1
 
1.9%
051-504-6522 1
 
1.9%
051-507-7668 1
 
1.9%
Other values (44) 44
81.5%
2023-12-11T01:32:20.306019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 164
25.3%
- 108
16.6%
0 93
14.3%
1 80
12.3%
3 36
 
5.5%
2 35
 
5.4%
7 32
 
4.9%
4 30
 
4.6%
8 28
 
4.3%
6 24
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 541
83.4%
Dash Punctuation 108
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 164
30.3%
0 93
17.2%
1 80
14.8%
3 36
 
6.7%
2 35
 
6.5%
7 32
 
5.9%
4 30
 
5.5%
8 28
 
5.2%
6 24
 
4.4%
9 19
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 164
25.3%
- 108
16.6%
0 93
14.3%
1 80
12.3%
3 36
 
5.5%
2 35
 
5.4%
7 32
 
4.9%
4 30
 
4.6%
8 28
 
4.3%
6 24
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 164
25.3%
- 108
16.6%
0 93
14.3%
1 80
12.3%
3 36
 
5.5%
2 35
 
5.4%
7 32
 
4.9%
4 30
 
4.6%
8 28
 
4.3%
6 24
 
3.7%

Correlations

2023-12-11T01:32:20.409252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호도로명주소전화번호
상호1.0001.0001.000
도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-11T01:32:18.290971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:32:18.369267image/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

상호도로명주소전화번호
0지지미용실부산광역시 동래구 금강공원로20번길 65 (온천동)051-556-2298
1논두렁추어탕부산광역시 동래구 명륜로139번길 42-5 (명륜동)051-553-5769
2희망통닭부산광역시 동래구 명륜로98번길 94 (낙민동)051-555-0073
3송화루부산광역시 동래구 아시아드대로207번길 9 (온천동)051-504-5415
4만점숯불갈비부산광역시 동래구 명륜로98번길 18 (수안동)051-558-2240
5은혜미용실부산광역시 동래구 수안로33-4 (수안동)051-558-1759
6이화한우소머리곰탕부산광역시 동래구 동래로148번길12 (복천동)051-555-4718
7작은영토부산광역시 동래구 동래로27-7 (온천동)051-554-3516
8참뷔페부산광역시 동래구 명륜로112번가길52, 1층 (명륜동)051-552-2456
9하동각부산광역시 동래구 명륜로130-6 (명륜동)051-556-1081
상호도로명주소전화번호
45행복순두부부산광역시 동래구 명장로48번길12, 1층 (명장동)<NA>
46부원돼지국밥부산광역시 동래구 여고로91번길90 (사직동)051-505-6345
47아늑한식당부산광역시 동래구 중앙대로1493번길28 (온천동)051-553-9461
48봉평신조막국수부산광역시 동래구 동래로147번길2, 1층 (복천동)051-555-9977
49들깨나루 칼국수부산광역시 동래구 명장로22번길 28-4 (명장동)051-523-7799
50소문난손칼국수부산광역시 동래구 명안로86번길 17 (명장동)051-524-0419
51스시몬(몬스시)부산광역시 동래구 삼성대길 40, 1층 (명륜동)051-553-0303
52나는맛있다푸드연구소부산광역시 동래구 여고로127번길 68, 상가동 1호 (사직동)051-504-1222
53진미 양푼이 촌국수부산광역시 동래구 사직북로47번길 30-2,1층 (사직동)070-4388-8540
54만나웰빙맛집(구.부산명물구포국수)부산광역시 동래구 충렬대로 2306, 103호 (낙민동)051-781-3708