Overview

Dataset statistics

Number of variables4
Number of observations63
Missing cells7
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory34.1 B

Variable types

Text3
DateTime1

Dataset

Description부산광역시_기장군_숙박업소현황_20220316
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072179

Alerts

소재지전화 has 7 (11.1%) missing valuesMissing
영업자시작일 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:33:46.624913
Analysis finished2023-12-10 16:33:47.122656
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T01:33:47.295244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length20
Mean length7.2380952
Min length3

Characters and Unicode

Total characters456
Distinct characters159
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row조인장모텔
2nd row올리브모텔
3rd row늘봄모텔
4th row팔레스
5th row해변여관
ValueCountFrequency (%)
큐모텔 2
 
2.6%
브라운도트호텔 2
 
2.6%
정관점 2
 
2.6%
휴모텔 1
 
1.3%
기장테마모텔 1
 
1.3%
동부산관광호텔 1
 
1.3%
브라운도트호텔(기장연화리점 1
 
1.3%
케이투(k2 1
 
1.3%
에이치에비뉴(h-avenue 1
 
1.3%
더원호텔 1
 
1.3%
Other values (64) 64
83.1%
2023-12-11T01:33:47.676045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 44
 
9.6%
호 28
 
6.1%
모 17
 
3.7%
14
 
3.1%
이 13
 
2.9%
) 11
 
2.4%
( 11
 
2.4%
장 10
 
2.2%
기 9
 
2.0%
스 9
 
2.0%
Other values (149) 290
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
75.7%
Uppercase Letter 49
 
10.7%
Lowercase Letter 16
 
3.5%
Space Separator 14
 
3.1%
Close Punctuation 11
 
2.4%
Open Punctuation 11
 
2.4%
Decimal Number 7
 
1.5%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 44
 
12.8%
호 28
 
8.1%
모 17
 
4.9%
이 13
 
3.8%
장 10
 
2.9%
기 9
 
2.6%
스 9
 
2.6%
브 8
 
2.3%
라 7
 
2.0%
리 6
 
1.7%
Other values (113) 194
56.2%
Uppercase Letter
ValueCountFrequency (%)
E 5
 
10.2%
H 4
 
8.2%
T 4
 
8.2%
N 4
 
8.2%
G 3
 
6.1%
M 3
 
6.1%
O 3
 
6.1%
L 3
 
6.1%
A 3
 
6.1%
U 3
 
6.1%
Other values (9) 14
28.6%
Lowercase Letter
ValueCountFrequency (%)
o 5
31.2%
l 4
25.0%
a 1
 
6.2%
i 1
 
6.2%
v 1
 
6.2%
p 1
 
6.2%
t 1
 
6.2%
e 1
 
6.2%
c 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
5 3
42.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
75.7%
Latin 65
 
14.3%
Common 46
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 44
 
12.8%
호 28
 
8.1%
모 17
 
4.9%
이 13
 
3.8%
장 10
 
2.9%
기 9
 
2.6%
스 9
 
2.6%
브 8
 
2.3%
라 7
 
2.0%
리 6
 
1.7%
Other values (113) 194
56.2%
Latin
ValueCountFrequency (%)
o 5
 
7.7%
E 5
 
7.7%
H 4
 
6.2%
T 4
 
6.2%
l 4
 
6.2%
N 4
 
6.2%
G 3
 
4.6%
M 3
 
4.6%
O 3
 
4.6%
L 3
 
4.6%
Other values (18) 27
41.5%
Common
ValueCountFrequency (%)
14
30.4%
) 11
23.9%
( 11
23.9%
2 4
 
8.7%
5 3
 
6.5%
- 1
 
2.2%
. 1
 
2.2%
& 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
75.7%
ASCII 111
 
24.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 44
 
12.8%
호 28
 
8.1%
모 17
 
4.9%
이 13
 
3.8%
장 10
 
2.9%
기 9
 
2.6%
스 9
 
2.6%
브 8
 
2.3%
라 7
 
2.0%
리 6
 
1.7%
Other values (113) 194
56.2%
ASCII
ValueCountFrequency (%)
14
 
12.6%
) 11
 
9.9%
( 11
 
9.9%
o 5
 
4.5%
E 5
 
4.5%
H 4
 
3.6%
2 4
 
3.6%
T 4
 
3.6%
l 4
 
3.6%
N 4
 
3.6%
Other values (26) 45
40.5%

영업소 주소(도로명)
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T01:33:47.946478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length24.111111
Min length20

Characters and Unicode

Total characters1519
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row부산광역시 기장군 기장읍 차성동로 52-14
2nd row부산광역시 기장군 기장읍 대변로 20
3rd row부산광역시 기장군 일광면 삼성3길 53-3
4th row부산광역시 기장군 기장읍 대변로 24
5th row부산광역시 기장군 일광면 삼성3길 27
ValueCountFrequency (%)
부산광역시 63
19.1%
기장군 63
19.1%
기장읍 41
 
12.5%
일광면 11
 
3.3%
차성로 10
 
3.0%
기장해안로 10
 
3.0%
정관읍 10
 
3.0%
연화길 5
 
1.5%
산단2로 4
 
1.2%
산단1로 4
 
1.2%
Other values (89) 108
32.8%
2023-12-11T01:33:48.332118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
17.5%
장 117
 
7.7%
기 115
 
7.6%
광 75
 
4.9%
산 71
 
4.7%
역 65
 
4.3%
부 63
 
4.1%
시 63
 
4.1%
군 63
 
4.1%
읍 52
 
3.4%
Other values (59) 569
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 961
63.3%
Space Separator 266
 
17.5%
Decimal Number 240
 
15.8%
Dash Punctuation 19
 
1.3%
Other Punctuation 16
 
1.1%
Math Symbol 9
 
0.6%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 117
12.2%
기 115
12.0%
광 75
 
7.8%
산 71
 
7.4%
역 65
 
6.8%
부 63
 
6.6%
시 63
 
6.6%
군 63
 
6.6%
읍 52
 
5.4%
로 49
 
5.1%
Other values (43) 228
23.7%
Decimal Number
ValueCountFrequency (%)
3 46
19.2%
1 45
18.8%
4 31
12.9%
2 30
12.5%
5 21
8.8%
7 17
 
7.1%
8 15
 
6.2%
6 14
 
5.8%
0 12
 
5.0%
9 9
 
3.8%
Space Separator
ValueCountFrequency (%)
266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
63.3%
Common 558
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 117
12.2%
기 115
12.0%
광 75
 
7.8%
산 71
 
7.4%
역 65
 
6.8%
부 63
 
6.6%
시 63
 
6.6%
군 63
 
6.6%
읍 52
 
5.4%
로 49
 
5.1%
Other values (43) 228
23.7%
Common
ValueCountFrequency (%)
266
47.7%
3 46
 
8.2%
1 45
 
8.1%
4 31
 
5.6%
2 30
 
5.4%
5 21
 
3.8%
- 19
 
3.4%
7 17
 
3.0%
, 16
 
2.9%
8 15
 
2.7%
Other values (6) 52
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 961
63.3%
ASCII 558
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
47.7%
3 46
 
8.2%
1 45
 
8.1%
4 31
 
5.6%
2 30
 
5.4%
5 21
 
3.8%
- 19
 
3.4%
7 17
 
3.0%
, 16
 
2.9%
8 15
 
2.7%
Other values (6) 52
 
9.3%
Hangul
ValueCountFrequency (%)
장 117
12.2%
기 115
12.0%
광 75
 
7.8%
산 71
 
7.4%
역 65
 
6.8%
부 63
 
6.6%
시 63
 
6.6%
군 63
 
6.6%
읍 52
 
5.4%
로 49
 
5.1%
Other values (43) 228
23.7%

소재지전화
Text

MISSING 

Distinct56
Distinct (%)100.0%
Missing7
Missing (%)11.1%
Memory size636.0 B
2023-12-11T01:33:48.555643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters784
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row051 -721 -2212
2nd row051 -721 -7390
3rd row051 -724 -3360
4th row051 -721 -5988
5th row 051- 721-1882
ValueCountFrequency (%)
051 54
37.8%
728 8
 
5.6%
722 6
 
4.2%
721 4
 
2.8%
724 4
 
2.8%
723 4
 
2.8%
727 3
 
2.1%
3443 1
 
0.7%
1229 1
 
0.7%
2146 1
 
0.7%
Other values (57) 57
39.9%
2023-12-11T01:33:48.932686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
14.3%
- 112
14.3%
0 94
12.0%
2 91
11.6%
1 87
11.1%
5 79
10.1%
7 73
9.3%
8 35
 
4.5%
3 31
 
4.0%
4 27
 
3.4%
Other values (2) 43
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
71.4%
Space Separator 112
 
14.3%
Dash Punctuation 112
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 94
16.8%
2 91
16.2%
1 87
15.5%
5 79
14.1%
7 73
13.0%
8 35
 
6.2%
3 31
 
5.5%
4 27
 
4.8%
9 25
 
4.5%
6 18
 
3.2%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 784
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
112
14.3%
- 112
14.3%
0 94
12.0%
2 91
11.6%
1 87
11.1%
5 79
10.1%
7 73
9.3%
8 35
 
4.5%
3 31
 
4.0%
4 27
 
3.4%
Other values (2) 43
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 784
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
14.3%
- 112
14.3%
0 94
12.0%
2 91
11.6%
1 87
11.1%
5 79
10.1%
7 73
9.3%
8 35
 
4.5%
3 31
 
4.0%
4 27
 
3.4%
Other values (2) 43
 
5.5%

영업자시작일
Date

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum1997-01-03 00:00:00
Maximum2022-01-26 00:00:00
2023-12-11T01:33:49.068981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:33:49.205825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-11T01:33:49.296615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)소재지전화영업자시작일
업소명1.0000.9981.0001.000
영업소 주소(도로명)0.9981.0001.0001.000
소재지전화1.0001.0001.0001.000
영업자시작일1.0001.0001.0001.000

Missing values

2023-12-11T01:33:47.018881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:33:47.093599image/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

업소명영업소 주소(도로명)소재지전화영업자시작일
0조인장모텔부산광역시 기장군 기장읍 차성동로 52-14051 -721 -22122010-07-29
1올리브모텔부산광역시 기장군 기장읍 대변로 20051 -721 -73902006-04-26
2늘봄모텔부산광역시 기장군 일광면 삼성3길 53-3051 -724 -33602017-05-04
3팔레스부산광역시 기장군 기장읍 대변로 24051 -721 -59882019-03-13
4해변여관부산광역시 기장군 일광면 삼성3길 27051- 721-18822013-09-05
5베스트루이스해밀턴호텔 기장점(BEST LOUIS HAMILTON HOTEL)부산광역시 기장군 기장읍 반송로 1545051 -714 -35352020-11-11
6아이더블유(I.W)호텔부산광역시 기장군 기장읍 연화길 76051 -724 -92012016-12-07
7호텔오월로부산광역시 기장군 기장읍 차성로 365051- 722-45612018-09-28
8호텔오즈부산광역시 기장군 기장읍 기장해안로 530051- 722-90302021-08-30
9초콜릿부산광역시 기장군 기장읍 연화길 32051 -723 -29882010-05-03
업소명영업소 주소(도로명)소재지전화영업자시작일
53엔쥴리오부산광역시 기장군 기장읍 연화길 10051- 722-59472013-09-24
54골든베이부산광역시 기장군 기장읍 기장해안로 536, 1~2층051- 722-22602018-09-13
55아난티펜트하우스해운대부산광역시 기장군 기장읍 기장해안로 268-31, 지하3~지상10층051 -723 -96332018-05-29
56어베인(URBANE pool villa)부산광역시 기장군 일광면 일역길 78-1, 3~7층<NA>2019-08-16
57해운대비치골프앤리조트부산광역시 기장군 기장읍 대변로 74, 해운대비치골프앤리조트051-726-07072019-10-25
58본레브호텔부산광역시 기장군 기장읍 기장해안로 460, 1~7(2층제외)층<NA>2021-03-15
59타이드어웨이풀빌라부산광역시 기장군 기장읍 기장해안로 26, 지하1~지상4층<NA>2020-06-18
60테라스부산광역시 기장군 일광면 기장해안로 1309-4<NA>2020-09-24
61빌라드연화부산광역시 기장군 기장읍 연화1길 21, 3,4층<NA>2021-07-22
62기장 일광 더뮤즈호텔 앤 레지던스부산광역시 기장군 일광면 해송3로 4, 1~11층<NA>2021-12-17