Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory35.1 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시강서구_숙박업현황_20230519
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3045894

Alerts

업종명 has constant value ""Constant
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:45:41.391144
Analysis finished2023-12-10 17:45:42.518875
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
숙박업(일반)
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
숙박업(일반) 42
100.0%

Length

2023-12-11T02:45:42.725978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:45:43.618266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 42
100.0%

업소명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T02:45:44.188031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length6.952381
Min length2

Characters and Unicode

Total characters292
Distinct characters96
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row명지오션시티호텔
2nd row비엠호텔
3rd row제타
4th row호텔프렌치코드
5th row마틴모텔
ValueCountFrequency (%)
호텔 3
 
5.4%
2월호텔더스테이 2
 
3.6%
넘버25호텔 2
 
3.6%
브라운도트 2
 
3.6%
good프라임호텔 1
 
1.8%
강서신관 1
 
1.8%
호텔에그 1
 
1.8%
비즈니스호텔 1
 
1.8%
서부산관광호텔하운드 1
 
1.8%
강서본관 1
 
1.8%
Other values (41) 41
73.2%
2023-12-11T02:45:45.199784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 37
 
12.7%
호 31
 
10.6%
14
 
4.8%
이 12
 
4.1%
스 11
 
3.8%
더 7
 
2.4%
모 6
 
2.1%
오 6
 
2.1%
지 5
 
1.7%
트 5
 
1.7%
Other values (86) 158
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
87.0%
Uppercase Letter 15
 
5.1%
Space Separator 14
 
4.8%
Decimal Number 6
 
2.1%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 37
 
14.6%
호 31
 
12.2%
이 12
 
4.7%
스 11
 
4.3%
더 7
 
2.8%
모 6
 
2.4%
오 6
 
2.4%
지 5
 
2.0%
트 5
 
2.0%
라 5
 
2.0%
Other values (69) 129
50.8%
Uppercase Letter
ValueCountFrequency (%)
O 3
20.0%
G 2
13.3%
W 2
13.3%
E 1
 
6.7%
L 1
 
6.7%
T 1
 
6.7%
H 1
 
6.7%
B 1
 
6.7%
D 1
 
6.7%
S 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
87.0%
Common 23
 
7.9%
Latin 15
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 37
 
14.6%
호 31
 
12.2%
이 12
 
4.7%
스 11
 
4.3%
더 7
 
2.8%
모 6
 
2.4%
오 6
 
2.4%
지 5
 
2.0%
트 5
 
2.0%
라 5
 
2.0%
Other values (69) 129
50.8%
Latin
ValueCountFrequency (%)
O 3
20.0%
G 2
13.3%
W 2
13.3%
E 1
 
6.7%
L 1
 
6.7%
T 1
 
6.7%
H 1
 
6.7%
B 1
 
6.7%
D 1
 
6.7%
S 1
 
6.7%
Common
ValueCountFrequency (%)
14
60.9%
2 4
 
17.4%
5 2
 
8.7%
& 1
 
4.3%
( 1
 
4.3%
) 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
87.0%
ASCII 38
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 37
 
14.6%
호 31
 
12.2%
이 12
 
4.7%
스 11
 
4.3%
더 7
 
2.8%
모 6
 
2.4%
오 6
 
2.4%
지 5
 
2.0%
트 5
 
2.0%
라 5
 
2.0%
Other values (69) 129
50.8%
ASCII
ValueCountFrequency (%)
14
36.8%
2 4
 
10.5%
O 3
 
7.9%
5 2
 
5.3%
G 2
 
5.3%
W 2
 
5.3%
E 1
 
2.6%
L 1
 
2.6%
T 1
 
2.6%
H 1
 
2.6%
Other values (7) 7
18.4%

영업소 주소(도로명)
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T02:45:45.775411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length30.190476
Min length25

Characters and Unicode

Total characters1268
Distinct characters86
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

Unique42 ?
Unique (%)100.0%

Sample

1st row부산광역시 강서구 명지오션시티3로 37 (명지동)
2nd row부산광역시 강서구 르노삼성대로 576-2 (명지동)
3rd row부산광역시 강서구 르노삼성대로 634, A동 (명지동, 러브스토리)
4th row부산광역시 강서구 명지오션시티5로 8 (명지동)
5th row부산광역시 강서구 르노삼성대로 600 (명지동)
ValueCountFrequency (%)
부산광역시 42
18.3%
강서구 42
18.3%
명지동 20
 
8.7%
신호동 16
 
7.0%
르노삼성대로 10
 
4.3%
신호산단1로217번길 9
 
3.9%
신호산단2로27번길 4
 
1.7%
신호산단1로72번길 3
 
1.3%
41 3
 
1.3%
7 3
 
1.3%
Other values (63) 78
33.9%
2023-12-11T02:45:46.693458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
14.8%
산 63
 
5.0%
시 46
 
3.6%
동 44
 
3.5%
부 43
 
3.4%
서 43
 
3.4%
구 43
 
3.4%
로 42
 
3.3%
광 42
 
3.3%
역 42
 
3.3%
Other values (76) 672
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 788
62.1%
Decimal Number 189
 
14.9%
Space Separator 188
 
14.8%
Close Punctuation 42
 
3.3%
Open Punctuation 42
 
3.3%
Other Punctuation 14
 
1.1%
Dash Punctuation 3
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 63
 
8.0%
시 46
 
5.8%
동 44
 
5.6%
부 43
 
5.5%
서 43
 
5.5%
구 43
 
5.5%
로 42
 
5.3%
광 42
 
5.3%
역 42
 
5.3%
강 42
 
5.3%
Other values (59) 338
42.9%
Decimal Number
ValueCountFrequency (%)
1 40
21.2%
2 39
20.6%
7 29
15.3%
3 17
9.0%
5 16
 
8.5%
6 14
 
7.4%
8 11
 
5.8%
4 10
 
5.3%
9 7
 
3.7%
0 6
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 788
62.1%
Common 478
37.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 63
 
8.0%
시 46
 
5.8%
동 44
 
5.6%
부 43
 
5.5%
서 43
 
5.5%
구 43
 
5.5%
로 42
 
5.3%
광 42
 
5.3%
역 42
 
5.3%
강 42
 
5.3%
Other values (59) 338
42.9%
Common
ValueCountFrequency (%)
188
39.3%
) 42
 
8.8%
( 42
 
8.8%
1 40
 
8.4%
2 39
 
8.2%
7 29
 
6.1%
3 17
 
3.6%
5 16
 
3.3%
, 14
 
2.9%
6 14
 
2.9%
Other values (5) 37
 
7.7%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 788
62.1%
ASCII 480
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
39.2%
) 42
 
8.8%
( 42
 
8.8%
1 40
 
8.3%
2 39
 
8.1%
7 29
 
6.0%
3 17
 
3.5%
5 16
 
3.3%
, 14
 
2.9%
6 14
 
2.9%
Other values (7) 39
 
8.1%
Hangul
ValueCountFrequency (%)
산 63
 
8.0%
시 46
 
5.8%
동 44
 
5.6%
부 43
 
5.5%
서 43
 
5.5%
구 43
 
5.5%
로 42
 
5.3%
광 42
 
5.3%
역 42
 
5.3%
강 42
 
5.3%
Other values (59) 338
42.9%

소재지전화
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T02:45:47.183827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
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

Unique42 ?
Unique (%)100.0%

Sample

1st row051-271-0023
2nd row051-271-1511
3rd row051-271-3677
4th row051-271-2563
5th row051-717-3872
ValueCountFrequency (%)
051-271-0023 1
 
2.4%
051-202-7889 1
 
2.4%
051-832-1000 1
 
2.4%
051-831-0571 1
 
2.4%
051-973-8589 1
 
2.4%
051-832-0128 1
 
2.4%
051-831-0606 1
 
2.4%
051-831-5646 1
 
2.4%
051-714-2556 1
 
2.4%
051-832-6660 1
 
2.4%
Other values (32) 32
76.2%
2023-12-11T02:45:48.005840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 101
20.0%
- 84
16.7%
0 81
16.1%
5 57
11.3%
7 42
8.3%
2 37
 
7.3%
6 26
 
5.2%
3 24
 
4.8%
8 23
 
4.6%
9 20
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 101
24.0%
0 81
19.3%
5 57
13.6%
7 42
10.0%
2 37
 
8.8%
6 26
 
6.2%
3 24
 
5.7%
8 23
 
5.5%
9 20
 
4.8%
4 9
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 101
20.0%
- 84
16.7%
0 81
16.1%
5 57
11.3%
7 42
8.3%
2 37
 
7.3%
6 26
 
5.2%
3 24
 
4.8%
8 23
 
4.6%
9 20
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 101
20.0%
- 84
16.7%
0 81
16.1%
5 57
11.3%
7 42
8.3%
2 37
 
7.3%
6 26
 
5.2%
3 24
 
4.8%
8 23
 
4.6%
9 20
 
4.0%

Correlations

2023-12-11T02:45:48.277769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)소재지전화
업소명1.0001.0001.000
영업소 주소(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-11T02:45:42.149517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:45:42.405692image/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

업종명업소명영업소 주소(도로명)소재지전화
0숙박업(일반)명지오션시티호텔부산광역시 강서구 명지오션시티3로 37 (명지동)051-271-0023
1숙박업(일반)비엠호텔부산광역시 강서구 르노삼성대로 576-2 (명지동)051-271-1511
2숙박업(일반)제타부산광역시 강서구 르노삼성대로 634, A동 (명지동, 러브스토리)051-271-3677
3숙박업(일반)호텔프렌치코드부산광역시 강서구 명지오션시티5로 8 (명지동)051-271-2563
4숙박업(일반)마틴모텔부산광역시 강서구 르노삼성대로 600 (명지동)051-717-3872
5숙박업(일반)김해공항 브라운도트 명지점부산광역시 강서구 르노삼성대로 576-6 (명지동)051-271-3777
6숙박업(일반)디자인팝호텔부산광역시 강서구 르노삼성대로 576-4 (명지동)051-271-2001
7숙박업(일반)사이버모텔부산광역시 강서구 명지오션시티5로 18 (명지동)051-271-4411
8숙박업(일반)마르부산광역시 강서구 르노삼성대로 634, B동 (명지동)051-271-1907
9숙박업(일반)더블유(W)모텔부산광역시 강서구 르노삼성대로 598 (명지동)051-271-1119
업종명업소명영업소 주소(도로명)소재지전화
32숙박업(일반)레전드호텔부산광역시 강서구 미음산단5로 48 (미음동)051-941-8688
33숙박업(일반)더포인트호텔부산광역시 강서구 명지국제2로28번길 8, 더프라임 10층 (명지동)051-929-8600
34숙박업(일반)호텔오유부산광역시 강서구 명지국제6로 21, 도형건설 10층 (명지동)051-911-5566
35숙박업(일반)더브레인호텔부산광역시 강서구 신호산단1로72번길 58 (신호동)051-271-7000
36숙박업(일반)B&G HOTEL부산광역시 강서구 명지국제6로1번길 24, 도하마린타워 7, 8, 9층 (명지동)051-207-1201
37숙박업(일반)씨엘오션호텔부산광역시 강서구 명지국제6로34번길 22 (명지동)051-203-2576
38숙박업(일반)베스트루이스해밀턴호텔부산광역시 강서구 범방3로29번길 6, 베스트 루이스 해밀턴호텔 범방점 (범방동)051-660-6900
39숙박업(일반)신라스테이 서부산부산광역시 강서구 명지국제7로 38, 신라스테이 서부산점 (명지동)051-661-9000
40숙박업(일반)서부산관광호텔하운드부산광역시 강서구 화전산단4로25번길 53 (화전동)051-832-1000
41숙박업(일반)스카이호텔부산광역시 강서구 신호산단1로217번길 15 (신호동)051-971-0071