Overview

Dataset statistics

Number of variables13
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory112.0 B

Variable types

Numeric2
Text4
Categorical6
Boolean1

Dataset

Description부산광역시_해운대구_호텔업현황_20200117
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075749

Alerts

업종명 has constant value ""Constant
서비스대상구분 has constant value ""Constant
외국어안내서비스 has constant value ""Constant
주차장보유여부 has constant value ""Constant
결제방법 has constant value ""Constant
객실수 is highly overall correlated with 부대시설High correlation
부대시설 is highly overall correlated with 객실수High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지 has unique valuesUnique
객실수 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:30:58.431269
Analysis finished2023-12-10 16:31:00.127723
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T01:31:00.223031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-11T01:31:00.380448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

업소명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T01:31:00.632964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.6363636
Min length4

Characters and Unicode

Total characters190
Distinct characters76
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row조선호텔부산
2nd row파라다이스호텔
3rd row파크하얏트부산
4th row리베로호텔
5th row(주)호텔일루아
ValueCountFrequency (%)
해운대 5
 
12.2%
호텔 3
 
7.3%
앰배서더 2
 
4.9%
이비스 2
 
4.9%
브라운도트호텔 1
 
2.4%
부산 1
 
2.4%
ⅱ 1
 
2.4%
신라스테이 1
 
2.4%
해운대호텔 1
 
2.4%
호텔라온 1
 
2.4%
Other values (23) 23
56.1%
2023-12-11T01:31:01.089864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
10.0%
호 17
 
8.9%
텔 17
 
8.9%
해 7
 
3.7%
이 7
 
3.7%
운 7
 
3.7%
스 6
 
3.2%
대 6
 
3.2%
트 5
 
2.6%
리 5
 
2.6%
Other values (66) 94
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
85.8%
Space Separator 19
 
10.0%
Decimal Number 3
 
1.6%
Other Punctuation 2
 
1.1%
Letter Number 1
 
0.5%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 17
 
10.4%
텔 17
 
10.4%
해 7
 
4.3%
이 7
 
4.3%
운 7
 
4.3%
스 6
 
3.7%
대 6
 
3.7%
트 5
 
3.1%
리 5
 
3.1%
라 5
 
3.1%
Other values (58) 81
49.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
85.8%
Common 26
 
13.7%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 17
 
10.4%
텔 17
 
10.4%
해 7
 
4.3%
이 7
 
4.3%
운 7
 
4.3%
스 6
 
3.7%
대 6
 
3.7%
트 5
 
3.1%
리 5
 
3.1%
라 5
 
3.1%
Other values (58) 81
49.7%
Common
ValueCountFrequency (%)
19
73.1%
. 2
 
7.7%
( 1
 
3.8%
) 1
 
3.8%
3 1
 
3.8%
6 1
 
3.8%
9 1
 
3.8%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
85.8%
ASCII 26
 
13.7%
Number Forms 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
73.1%
. 2
 
7.7%
( 1
 
3.8%
) 1
 
3.8%
3 1
 
3.8%
6 1
 
3.8%
9 1
 
3.8%
Hangul
ValueCountFrequency (%)
호 17
 
10.4%
텔 17
 
10.4%
해 7
 
4.3%
이 7
 
4.3%
운 7
 
4.3%
스 6
 
3.7%
대 6
 
3.7%
트 5
 
3.1%
리 5
 
3.1%
라 5
 
3.1%
Other values (58) 81
49.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
관광호텔
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광호텔
2nd row관광호텔
3rd row관광호텔
4th row관광호텔
5th row관광호텔

Common Values

ValueCountFrequency (%)
관광호텔 22
100.0%

Length

2023-12-11T01:31:01.285753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:01.425491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔 22
100.0%

서비스대상구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
관광객
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광객
2nd row관광객
3rd row관광객
4th row관광객
5th row관광객

Common Values

ValueCountFrequency (%)
관광객 22
100.0%

Length

2023-12-11T01:31:01.592503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:01.744153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광객 22
100.0%

외국어안내서비스
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
가능
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가능
2nd row가능
3rd row가능
4th row가능
5th row가능

Common Values

ValueCountFrequency (%)
가능 22
100.0%

Length

2023-12-11T01:31:01.929076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:02.076928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 22
100.0%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T01:31:02.336109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length22.227273
Min length17

Characters and Unicode

Total characters489
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 동백로 67
2nd row부산광역시 해운대구 해운대해변로 296
3rd row부산광역시 해운대구 마린시티1로 51
4th row부산광역시 해운대구 구남로 29번길 21
5th row부산광역시 해운대구 달맞이길 97
ValueCountFrequency (%)
부산광역시 22
23.4%
해운대구 21
22.3%
해운대해변로 6
 
6.4%
송정광어골로 4
 
4.3%
구남로 3
 
3.2%
해운대해변로237번길 2
 
2.1%
중동 2
 
2.1%
달맞이길 2
 
2.1%
314 1
 
1.1%
구남로12번길 1
 
1.1%
Other values (30) 30
31.9%
2023-12-11T01:31:02.810611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
14.7%
해 39
 
8.0%
운 30
 
6.1%
대 30
 
6.1%
광 26
 
5.3%
구 25
 
5.1%
시 23
 
4.7%
부 22
 
4.5%
역 22
 
4.5%
산 22
 
4.5%
Other values (32) 178
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
68.3%
Space Separator 72
 
14.7%
Decimal Number 70
 
14.3%
Close Punctuation 6
 
1.2%
Open Punctuation 6
 
1.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 39
11.7%
운 30
 
9.0%
대 30
 
9.0%
광 26
 
7.8%
구 25
 
7.5%
시 23
 
6.9%
부 22
 
6.6%
역 22
 
6.6%
산 22
 
6.6%
로 20
 
6.0%
Other values (18) 75
22.5%
Decimal Number
ValueCountFrequency (%)
2 12
17.1%
1 12
17.1%
3 9
12.9%
7 9
12.9%
9 7
10.0%
0 6
8.6%
6 5
7.1%
5 4
 
5.7%
4 4
 
5.7%
8 2
 
2.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
68.3%
Common 155
31.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 39
11.7%
운 30
 
9.0%
대 30
 
9.0%
광 26
 
7.8%
구 25
 
7.5%
시 23
 
6.9%
부 22
 
6.6%
역 22
 
6.6%
산 22
 
6.6%
로 20
 
6.0%
Other values (18) 75
22.5%
Common
ValueCountFrequency (%)
72
46.5%
2 12
 
7.7%
1 12
 
7.7%
3 9
 
5.8%
7 9
 
5.8%
9 7
 
4.5%
) 6
 
3.9%
( 6
 
3.9%
0 6
 
3.9%
6 5
 
3.2%
Other values (4) 11
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
68.3%
ASCII 155
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
46.5%
2 12
 
7.7%
1 12
 
7.7%
3 9
 
5.8%
7 9
 
5.8%
9 7
 
4.5%
) 6
 
3.9%
( 6
 
3.9%
0 6
 
3.9%
6 5
 
3.2%
Other values (4) 11
 
7.1%
Hangul
ValueCountFrequency (%)
해 39
11.7%
운 30
 
9.0%
대 30
 
9.0%
광 26
 
7.8%
구 25
 
7.5%
시 23
 
6.9%
부 22
 
6.6%
역 22
 
6.6%
산 22
 
6.6%
로 20
 
6.0%
Other values (18) 75
22.5%

연락처
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T01:31:03.040560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique20 ?
Unique (%)90.9%

Sample

1st row051-749-7000
2nd row051-742-2121
3rd row051-990-1234
4th row051-740-2111
5th row051-744-1331
ValueCountFrequency (%)
051-742-0021 2
 
9.1%
051-749-7000 1
 
4.5%
051-704-0001 1
 
4.5%
051-749-7777 1
 
4.5%
051-714-0003 1
 
4.5%
051-702-0090 1
 
4.5%
051-911-9181 1
 
4.5%
051-630-1100 1
 
4.5%
051-741-1045 1
 
4.5%
051-760-7000 1
 
4.5%
Other values (11) 11
50.0%
2023-12-11T01:31:03.512737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 65
24.6%
1 48
18.2%
- 44
16.7%
5 25
 
9.5%
7 24
 
9.1%
4 15
 
5.7%
2 14
 
5.3%
9 12
 
4.5%
3 8
 
3.0%
6 6
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
29.5%
1 48
21.8%
5 25
 
11.4%
7 24
 
10.9%
4 15
 
6.8%
2 14
 
6.4%
9 12
 
5.5%
3 8
 
3.6%
6 6
 
2.7%
8 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 65
24.6%
1 48
18.2%
- 44
16.7%
5 25
 
9.5%
7 24
 
9.1%
4 15
 
5.7%
2 14
 
5.3%
9 12
 
4.5%
3 8
 
3.0%
6 6
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 65
24.6%
1 48
18.2%
- 44
16.7%
5 25
 
9.5%
7 24
 
9.1%
4 15
 
5.7%
2 14
 
5.3%
9 12
 
4.5%
3 8
 
3.0%
6 6
 
2.3%

객실수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.13636
Minimum32
Maximum528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T01:31:03.655638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile37.05
Q148.5
median85.5
Q3234
95-th percentile504.85
Maximum528
Range496
Interquartile range (IQR)185.5

Descriptive statistics

Standard deviation153.61526
Coefficient of variation (CV)0.94163713
Kurtosis0.85292687
Mean163.13636
Median Absolute Deviation (MAD)48
Skewness1.332595
Sum3589
Variance23597.647
MonotonicityNot monotonic
2023-12-11T01:31:03.810170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
290 1
 
4.5%
156 1
 
4.5%
37 1
 
4.5%
72 1
 
4.5%
225 1
 
4.5%
32 1
 
4.5%
67 1
 
4.5%
38 1
 
4.5%
407 1
 
4.5%
237 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
32 1
4.5%
37 1
4.5%
38 1
4.5%
42 1
4.5%
45 1
4.5%
48 1
4.5%
50 1
4.5%
57 1
4.5%
67 1
4.5%
72 1
4.5%
ValueCountFrequency (%)
528 1
4.5%
510 1
4.5%
407 1
4.5%
290 1
4.5%
269 1
4.5%
237 1
4.5%
225 1
4.5%
181 1
4.5%
156 1
4.5%
127 1
4.5%

부대시설
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
레스토랑 등
9 
카페 등
4 
사우나 등
2 
레스토랑, 연회, 웨딩 등
1 
레스토랑, 연회, 온천 등
1 
Other values (5)
5 

Length

Max length14
Median length12
Mean length7.3181818
Min length4

Unique

Unique7 ?
Unique (%)31.8%

Sample

1st row레스토랑, 연회, 웨딩 등
2nd row레스토랑, 연회, 온천 등
3rd row레스토랑, 수영장 등
4th row레스토랑, 연회장 등
5th row레스토랑, 라운지바 등

Common Values

ValueCountFrequency (%)
레스토랑 등 9
40.9%
카페 등 4
18.2%
사우나 등 2
 
9.1%
레스토랑, 연회, 웨딩 등 1
 
4.5%
레스토랑, 연회, 온천 등 1
 
4.5%
레스토랑, 수영장 등 1
 
4.5%
레스토랑, 연회장 등 1
 
4.5%
레스토랑, 라운지바 등 1
 
4.5%
사우나 연회장 등 1
 
4.5%
레스토랑 연회장 등 1
 
4.5%

Length

2023-12-11T01:31:03.987359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:04.188007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등 22
41.5%
레스토랑 15
28.3%
카페 4
 
7.5%
사우나 3
 
5.7%
연회장 3
 
5.7%
연회 2
 
3.8%
웨딩 1
 
1.9%
온천 1
 
1.9%
수영장 1
 
1.9%
라운지바 1
 
1.9%

주차장보유여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
22 
ValueCountFrequency (%)
True 22
100.0%
2023-12-11T01:31:04.329901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
현금+카드
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row현금+카드
2nd row현금+카드
3rd row현금+카드
4th row현금+카드
5th row현금+카드

Common Values

ValueCountFrequency (%)
현금+카드 22
100.0%

Length

2023-12-11T01:31:04.456530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:04.560579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금+카드 22
100.0%

홈페이지주소
Text

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T01:31:04.763108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length42
Mean length27.772727
Min length2

Characters and Unicode

Total characters611
Distinct characters32
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

Unique17 ?
Unique (%)77.3%

Sample

1st rowhttps://twcb.echosunhotel.com/main.do
2nd rowhttps://www.busanparadisehotel.co.kr/main.do
3rd rowhttps://busan.park.hyatt.com/ko/hotel/home.html
4th rowhttp://www.liberohotel.co.kr/html/index.html
5th rowhttp://www.hotelillua.com/kor/
ValueCountFrequency (%)
없음 5
22.7%
https://twcb.echosunhotel.com/main.do 1
 
4.5%
http://www.toyoko-inn.kr 1
 
4.5%
https://www.marriott.co.kr/hotels/travel/pusfi-fairfield-busan 1
 
4.5%
http://www.suntreehotel.com 1
 
4.5%
http://www.busan-laon.com 1
 
4.5%
https://www.wnhotels.com 1
 
4.5%
http://www.shillastay.com/stayhub/index.do 1
 
4.5%
https://ibis.ambatel.com/haeundae 1
 
4.5%
http://www.hotelhaeundae.com 1
 
4.5%
Other values (8) 8
36.4%
2023-12-11T01:31:05.109402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 65
 
10.6%
/ 61
 
10.0%
. 43
 
7.0%
o 43
 
7.0%
h 42
 
6.9%
w 39
 
6.4%
e 33
 
5.4%
a 29
 
4.7%
l 28
 
4.6%
s 22
 
3.6%
Other values (22) 206
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 473
77.4%
Other Punctuation 121
 
19.8%
Other Letter 10
 
1.6%
Dash Punctuation 4
 
0.7%
Decimal Number 2
 
0.3%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 65
13.7%
o 43
 
9.1%
h 42
 
8.9%
w 39
 
8.2%
e 33
 
7.0%
a 29
 
6.1%
l 28
 
5.9%
s 22
 
4.7%
m 22
 
4.7%
n 20
 
4.2%
Other values (14) 130
27.5%
Other Punctuation
ValueCountFrequency (%)
/ 61
50.4%
. 43
35.5%
: 17
 
14.0%
Other Letter
ValueCountFrequency (%)
없 5
50.0%
음 5
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Decimal Number
ValueCountFrequency (%)
0 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 473
77.4%
Common 128
 
20.9%
Hangul 10
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 65
13.7%
o 43
 
9.1%
h 42
 
8.9%
w 39
 
8.2%
e 33
 
7.0%
a 29
 
6.1%
l 28
 
5.9%
s 22
 
4.7%
m 22
 
4.7%
n 20
 
4.2%
Other values (14) 130
27.5%
Common
ValueCountFrequency (%)
/ 61
47.7%
. 43
33.6%
: 17
 
13.3%
- 4
 
3.1%
0 2
 
1.6%
_ 1
 
0.8%
Hangul
ValueCountFrequency (%)
없 5
50.0%
음 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
98.4%
Hangul 10
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 65
 
10.8%
/ 61
 
10.1%
. 43
 
7.2%
o 43
 
7.2%
h 42
 
7.0%
w 39
 
6.5%
e 33
 
5.5%
a 29
 
4.8%
l 28
 
4.7%
s 22
 
3.7%
Other values (20) 196
32.6%
Hangul
ValueCountFrequency (%)
없 5
50.0%
음 5
50.0%

주변관광정보
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
동백섬, 해운대해수욕장 등
11 
송정해수욕장, 구덕포 등
5 
달맞이언덕, 해운대해수욕장 등
3 
해운대해수욕장 등
2 
동백섬, 영화의 거리 등
 
1

Length

Max length16
Median length15
Mean length13.545455
Min length9

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row동백섬, 해운대해수욕장 등
2nd row동백섬, 해운대해수욕장 등
3rd row동백섬, 영화의 거리 등
4th row동백섬, 해운대해수욕장 등
5th row달맞이언덕, 해운대해수욕장 등

Common Values

ValueCountFrequency (%)
동백섬, 해운대해수욕장 등 11
50.0%
송정해수욕장, 구덕포 등 5
22.7%
달맞이언덕, 해운대해수욕장 등 3
 
13.6%
해운대해수욕장 등 2
 
9.1%
동백섬, 영화의 거리 등 1
 
4.5%

Length

2023-12-11T01:31:05.273803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:05.442427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등 22
33.8%
해운대해수욕장 16
24.6%
동백섬 12
18.5%
송정해수욕장 5
 
7.7%
구덕포 5
 
7.7%
달맞이언덕 3
 
4.6%
영화의 1
 
1.5%
거리 1
 
1.5%

Interactions

2023-12-11T01:30:59.427702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:30:59.142486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:30:59.551720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:30:59.288499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:31:05.559579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지연락처객실수부대시설홈페이지주소주변관광정보
연번1.0001.0001.0000.9320.1550.4890.7720.311
업소명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
연락처0.9321.0001.0001.0000.9281.0000.9270.000
객실수0.1551.0001.0000.9281.0000.8500.9610.101
부대시설0.4891.0001.0001.0000.8501.0000.9750.765
홈페이지주소0.7721.0001.0000.9270.9610.9751.0000.923
주변관광정보0.3111.0001.0000.0000.1010.7650.9231.000
2023-12-11T01:31:05.689539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부대시설주변관광정보
부대시설1.0000.325
주변관광정보0.3251.000
2023-12-11T01:31:05.793072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수부대시설주변관광정보
연번1.000-0.3250.0000.000
객실수-0.3251.0000.5660.000
부대시설0.0000.5661.0000.325
주변관광정보0.0000.0000.3251.000

Missing values

2023-12-11T01:30:59.736553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:31:00.020322image/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

연번업소명업종명서비스대상구분외국어안내서비스소재지연락처객실수부대시설주차장보유여부결제방법홈페이지주소주변관광정보
01조선호텔부산관광호텔관광객가능부산광역시 해운대구 동백로 67051-749-7000290레스토랑, 연회, 웨딩 등Y현금+카드https://twcb.echosunhotel.com/main.do동백섬, 해운대해수욕장 등
12파라다이스호텔관광호텔관광객가능부산광역시 해운대구 해운대해변로 296051-742-2121528레스토랑, 연회, 온천 등Y현금+카드https://www.busanparadisehotel.co.kr/main.do동백섬, 해운대해수욕장 등
23파크하얏트부산관광호텔관광객가능부산광역시 해운대구 마린시티1로 51051-990-1234269레스토랑, 수영장 등Y현금+카드https://busan.park.hyatt.com/ko/hotel/home.html동백섬, 영화의 거리 등
34리베로호텔관광호텔관광객가능부산광역시 해운대구 구남로 29번길 21051-740-211191레스토랑, 연회장 등Y현금+카드http://www.liberohotel.co.kr/html/index.html동백섬, 해운대해수욕장 등
45(주)호텔일루아관광호텔관광객가능부산광역시 해운대구 달맞이길 97051-744-133157레스토랑, 라운지바 등Y현금+카드http://www.hotelillua.com/kor/달맞이언덕, 해운대해수욕장 등
56호텔 포레관광호텔관광객가능부산광역시 해운대구 해운대해변로 265051-743-285345레스토랑 등Y현금+카드http://www.hotelforet.com/달맞이언덕, 해운대해수욕장 등
67제이비디자인호텔관광호텔관광객가능부산광역시 해운대구 구남로 12번길 31051-750-900080레스토랑 등Y현금+카드http://www.jbdesignhotel.com/html/00_main/동백섬, 해운대해수욕장 등
78인더스트리호텔관광호텔관광객가능부산광역시 해운대구 구남로 24번길 16051-742-930950레스토랑 등Y현금+카드없음동백섬, 해운대해수욕장 등
893.6.9 관광호텔관광호텔관광객가능부산광역시 해운대구 송정광어골로 70051-701-760148레스토랑 등Y현금+카드없음송정해수욕장, 구덕포 등
910베니키아 해운대 호텔마리안느관광호텔관광객가능부산광역시 해운대구 해운대해변로 310051-606-0600127레스토랑 등Y현금+카드http://mariannehotel.alltheway.kr/동백섬, 해운대해수욕장 등
연번업소명업종명서비스대상구분외국어안내서비스소재지연락처객실수부대시설주차장보유여부결제방법홈페이지주소주변관광정보
1213베니키아호텔 해운대관광호텔관광객가능부산광역시 해운대구 해운대해변로 317051-760-7000156사우나 등Y현금+카드http://www.hotelhaeundae.com/동백섬, 해운대해수욕장 등
1314토요코인 부산 해운대 Ⅱ관광호텔관광객가능부산광역시 해운대구 해운대해변로237번길 5051-741-1045510레스토랑 등Y현금+카드http://www.toyoko-inn.kr동백섬, 해운대해수욕장 등
1415이비스 앰배서더 해운대관광호텔관광객가능부산광역시 해운대구 해운대해변로237번길 12051-630-1100237사우나 연회장 등Y현금+카드https://ibis.ambatel.com/haeundae/동백섬, 해운대해수욕장 등
1516신라스테이 해운대호텔관광호텔관광객가능부산광역시 해운대로570번길46051-911-9181407레스토랑 연회장 등Y현금+카드http://www.shillastay.com/stayhub/index.do동백섬, 해운대해수욕장 등
1617브라운도트호텔관광호텔관광객가능부산광역시 해운대구 송정광어골로 30(송정동)051-702-009038카페 등Y현금+카드https://www.wnhotels.com/송정해수욕장, 구덕포 등
1718호텔라온관광호텔관광객가능부산광역시 해운대구 송정광어골로 39 (송정동)051-714-000367레스토랑 등Y현금+카드http://www.busan-laon.com/송정해수욕장, 구덕포 등
1819선트리 호텔관광호텔관광객가능부산광역시 해운대구 달맞이길 209 (중동)051-742-002132카페 등Y현금+카드http://www.suntreehotel.com/달맞이언덕, 해운대해수욕장 등
1920페어필드 바이 메리어트 호텔관광호텔관광객가능부산광역시 해운대구 해운대해변로 314 (중동)051-742-0021225카페 등Y현금+카드https://www.marriott.co.kr/hotels/travel/pusfi-fairfield-busan/해운대해수욕장 등
2021소사이어티에스호텔관광호텔관광객가능부산광역시 해운대구 구남로12번길 37 (우동)051-749-777772카페 등Y현금+카드http://hotelsociety.co.kr/해운대해수욕장 등
2122송정 해수락관광호텔관광객가능부산광역시 해운대구 송정해변로 8-17(송정동)051-702-192837사우나 등Y현금+카드없음송정해수욕장, 구덕포 등