Overview

Dataset statistics

Number of variables13
Number of observations26
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory110.9 B

Variable types

Numeric2
Text5
Categorical5
Boolean1

Dataset

Description2024. 2. 7. 기준 관광숙박업(호텔업-관광호텔,소형호텔,가족호텔) 등록 현황- 총 호텔업 25개 (관광호텔 23개, 가족호텔1, 소형호텔 1)
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/3075749/fileData.do

Alerts

서비스대상구분 has constant value ""Constant
외국어안내서비스 has constant value ""Constant
주차장보유여부 has constant value ""Constant
결제방법 has constant value ""Constant
연번 is highly overall correlated with 객실수High correlation
객실수 is highly overall correlated with 연번High correlation
업종명 is highly imbalanced (70.5%)Imbalance
연락처 has 1 (3.8%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:23:11.314721
Analysis finished2024-03-14 19:23:13.730947
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T04:23:13.867071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-03-15T04:23:14.262968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

업소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T04:23:15.265199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11.5
Mean length8.3846154
Min length4

Characters and Unicode

Total characters218
Distinct characters78
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row웨스틴조선 부산
2nd row파라다이스호텔 부산
3rd row파크하얏트부산
4th row리베로호텔
5th row(주)호텔일루아
ValueCountFrequency (%)
해운대 5
 
10.6%
부산 5
 
10.6%
호텔 4
 
8.5%
앰배서더 2
 
4.3%
이비스 2
 
4.3%
웨스틴조선 1
 
2.1%
호텔라온 1
 
2.1%
선트리 1
 
2.1%
시그니엘 1
 
2.1%
그랜드조선 1
 
2.1%
Other values (24) 24
51.1%
2024-03-15T04:23:16.587330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
10.1%
호 17
 
7.8%
텔 17
 
7.8%
운 10
 
4.6%
해 9
 
4.1%
대 8
 
3.7%
스 8
 
3.7%
트 8
 
3.7%
이 6
 
2.8%
산 6
 
2.8%
Other values (68) 107
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
88.5%
Space Separator 22
 
10.1%
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
 
8.8%
텔 17
 
8.8%
운 10
 
5.2%
해 9
 
4.7%
대 8
 
4.1%
스 8
 
4.1%
트 8
 
4.1%
이 6
 
3.1%
산 6
 
3.1%
부 6
 
3.1%
Other values (64) 98
50.8%
Space Separator
ValueCountFrequency (%)
22
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 193
88.5%
Common 24
 
11.0%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 17
 
8.8%
텔 17
 
8.8%
운 10
 
5.2%
해 9
 
4.7%
대 8
 
4.1%
스 8
 
4.1%
트 8
 
4.1%
이 6
 
3.1%
산 6
 
3.1%
부 6
 
3.1%
Other values (64) 98
50.8%
Common
ValueCountFrequency (%)
22
91.7%
( 1
 
4.2%
) 1
 
4.2%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
88.5%
ASCII 24
 
11.0%
Number Forms 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
91.7%
( 1
 
4.2%
) 1
 
4.2%
Hangul
ValueCountFrequency (%)
호 17
 
8.8%
텔 17
 
8.8%
운 10
 
5.2%
해 9
 
4.7%
대 8
 
4.1%
스 8
 
4.1%
트 8
 
4.1%
이 6
 
3.1%
산 6
 
3.1%
부 6
 
3.1%
Other values (64) 98
50.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size336.0 B
관광호텔
24 
가족호텔
 
1
소규모호텔
 
1

Length

Max length5
Median length4
Mean length4.0384615
Min length4

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔 24
92.3%
가족호텔 1
 
3.8%
소규모호텔 1
 
3.8%

Length

2024-03-15T04:23:16.812666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:23:16.988689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔 24
92.3%
가족호텔 1
 
3.8%
소규모호텔 1
 
3.8%

서비스대상구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
관광객
26 

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 26
100.0%

Length

2024-03-15T04:23:17.211041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:23:17.510251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광객 26
100.0%

외국어안내서비스
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
가능
26 

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 26
100.0%

Length

2024-03-15T04:23:17.765775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:23:17.922199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 26
100.0%

소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T04:23:18.606611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length24.153846
Min length17

Characters and Unicode

Total characters628
Distinct characters52
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

Unique26 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 동백로 67(중동)
2nd row부산광역시 해운대구 해운대해변로 296(중동)
3rd row부산광역시 해운대구 마린시티1로 51
4th row부산광역시 해운대구 구남로 29번길 21
5th row부산광역시 해운대구 달맞이길 97
ValueCountFrequency (%)
부산광역시 26
22.6%
해운대구 25
21.7%
송정광어골로 5
 
4.3%
해운대해변로 5
 
4.3%
달맞이길 3
 
2.6%
구남로 3
 
2.6%
해운대해변로237번길 2
 
1.7%
16 2
 
1.7%
달맞이길62번길 2
 
1.7%
호텔 2
 
1.7%
Other values (39) 40
34.8%
2024-03-15T04:23:19.635315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
14.2%
해 43
 
6.8%
운 34
 
5.4%
대 34
 
5.4%
광 31
 
4.9%
구 29
 
4.6%
시 27
 
4.3%
부 26
 
4.1%
역 26
 
4.1%
산 26
 
4.1%
Other values (42) 263
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
67.5%
Space Separator 89
 
14.2%
Decimal Number 85
 
13.5%
Close Punctuation 13
 
2.1%
Open Punctuation 13
 
2.1%
Other Punctuation 3
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 43
 
10.1%
운 34
 
8.0%
대 34
 
8.0%
광 31
 
7.3%
구 29
 
6.8%
시 27
 
6.4%
부 26
 
6.1%
역 26
 
6.1%
산 26
 
6.1%
로 21
 
5.0%
Other values (27) 127
30.0%
Decimal Number
ValueCountFrequency (%)
2 17
20.0%
1 13
15.3%
3 11
12.9%
9 9
10.6%
7 8
9.4%
6 7
8.2%
0 7
8.2%
4 5
 
5.9%
8 5
 
5.9%
5 3
 
3.5%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
67.5%
Common 204
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 43
 
10.1%
운 34
 
8.0%
대 34
 
8.0%
광 31
 
7.3%
구 29
 
6.8%
시 27
 
6.4%
부 26
 
6.1%
역 26
 
6.1%
산 26
 
6.1%
로 21
 
5.0%
Other values (27) 127
30.0%
Common
ValueCountFrequency (%)
89
43.6%
2 17
 
8.3%
1 13
 
6.4%
) 13
 
6.4%
( 13
 
6.4%
3 11
 
5.4%
9 9
 
4.4%
7 8
 
3.9%
6 7
 
3.4%
0 7
 
3.4%
Other values (5) 17
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
67.5%
ASCII 204
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
43.6%
2 17
 
8.3%
1 13
 
6.4%
) 13
 
6.4%
( 13
 
6.4%
3 11
 
5.4%
9 9
 
4.4%
7 8
 
3.9%
6 7
 
3.4%
0 7
 
3.4%
Other values (5) 17
 
8.3%
Hangul
ValueCountFrequency (%)
해 43
 
10.1%
운 34
 
8.0%
대 34
 
8.0%
광 31
 
7.3%
구 29
 
6.8%
시 27
 
6.4%
부 26
 
6.1%
역 26
 
6.1%
산 26
 
6.1%
로 21
 
5.0%
Other values (27) 127
30.0%

연락처
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size336.0 B
2024-03-15T04:23:20.427414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row051-749-7000
2nd row051-742-2121
3rd row051-990-1234
4th row051-740-2111
5th row051-744-1331
ValueCountFrequency (%)
051-749-7000 1
 
4.0%
051-911-9181 1
 
4.0%
051-702-1928 1
 
4.0%
051-747-6500 1
 
4.0%
051-710-9309 1
 
4.0%
051-742-9309 1
 
4.0%
051-760-9001 1
 
4.0%
051-922-5000 1
 
4.0%
051-922-1000 1
 
4.0%
051-742-0021 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T04:23:21.677755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 82
27.3%
1 54
18.0%
- 50
16.7%
5 29
 
9.7%
7 21
 
7.0%
9 16
 
5.3%
2 15
 
5.0%
4 14
 
4.7%
6 9
 
3.0%
3 8
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82
32.8%
1 54
21.6%
5 29
 
11.6%
7 21
 
8.4%
9 16
 
6.4%
2 15
 
6.0%
4 14
 
5.6%
6 9
 
3.6%
3 8
 
3.2%
8 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82
27.3%
1 54
18.0%
- 50
16.7%
5 29
 
9.7%
7 21
 
7.0%
9 16
 
5.3%
2 15
 
5.0%
4 14
 
4.7%
6 9
 
3.0%
3 8
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82
27.3%
1 54
18.0%
- 50
16.7%
5 29
 
9.7%
7 21
 
7.0%
9 16
 
5.3%
2 15
 
5.0%
4 14
 
4.7%
6 9
 
3.0%
3 8
 
2.7%

객실수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.84615
Minimum28
Maximum528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T04:23:22.054357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile30.5
Q148.5
median85.5
Q3254.25
95-th percentile484.25
Maximum528
Range500
Interquartile range (IQR)205.75

Descriptive statistics

Standard deviation150.74421
Coefficient of variation (CV)0.948995
Kurtosis0.66758462
Mean158.84615
Median Absolute Deviation (MAD)51
Skewness1.2601733
Sum4130
Variance22723.815
MonotonicityNot monotonic
2024-03-15T04:23:22.451977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
50 2
 
7.7%
290 1
 
3.8%
528 1
 
3.8%
28 1
 
3.8%
37 1
 
3.8%
53 1
 
3.8%
30 1
 
3.8%
132 1
 
3.8%
330 1
 
3.8%
260 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
28 1
3.8%
30 1
3.8%
32 1
3.8%
37 1
3.8%
38 1
3.8%
42 1
3.8%
48 1
3.8%
50 2
7.7%
53 1
3.8%
57 1
3.8%
ValueCountFrequency (%)
528 1
3.8%
510 1
3.8%
407 1
3.8%
330 1
3.8%
290 1
3.8%
269 1
3.8%
260 1
3.8%
237 1
3.8%
181 1
3.8%
156 1
3.8%

부대시설
Text

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T04:23:23.123252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.5
Min length4

Characters and Unicode

Total characters195
Distinct characters31
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)38.5%

Sample

1st row레스토랑, 연회, 웨딩 등
2nd row레스토랑, 연회, 온천 등
3rd row레스토랑, 수영장 등
4th row레스토랑, 연회장 등
5th row레스토랑, 라운지바 등
ValueCountFrequency (%)
등 25
40.3%
레스토랑 18
29.0%
사우나 5
 
8.1%
연회장 3
 
4.8%
카페 2
 
3.2%
연회 2
 
3.2%
수영장 2
 
3.2%
웨딩 1
 
1.6%
온천 1
 
1.6%
라운지바 1
 
1.6%
Other values (2) 2
 
3.2%
2024-03-15T04:23:24.082565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
18.5%
등 25
12.8%
레 18
9.2%
스 18
9.2%
토 18
9.2%
랑 18
9.2%
, 9
 
4.6%
우 5
 
2.6%
나 5
 
2.6%
연 5
 
2.6%
Other values (21) 38
19.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
76.9%
Space Separator 36
 
18.5%
Other Punctuation 9
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 25
16.7%
레 18
12.0%
스 18
12.0%
토 18
12.0%
랑 18
12.0%
우 5
 
3.3%
나 5
 
3.3%
연 5
 
3.3%
회 5
 
3.3%
사 5
 
3.3%
Other values (19) 28
18.7%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
76.9%
Common 45
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 25
16.7%
레 18
12.0%
스 18
12.0%
토 18
12.0%
랑 18
12.0%
우 5
 
3.3%
나 5
 
3.3%
연 5
 
3.3%
회 5
 
3.3%
사 5
 
3.3%
Other values (19) 28
18.7%
Common
ValueCountFrequency (%)
36
80.0%
, 9
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
76.9%
ASCII 45
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
80.0%
, 9
 
20.0%
Hangul
ValueCountFrequency (%)
등 25
16.7%
레 18
12.0%
스 18
12.0%
토 18
12.0%
랑 18
12.0%
우 5
 
3.3%
나 5
 
3.3%
연 5
 
3.3%
회 5
 
3.3%
사 5
 
3.3%
Other values (19) 28
18.7%

주차장보유여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
26 
ValueCountFrequency (%)
True 26
100.0%
2024-03-15T04:23:24.412356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
현금+카드
26 

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 26
100.0%

Length

2024-03-15T04:23:24.726801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:23:25.025128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금+카드 26
100.0%

홈페이지주소
Text

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T04:23:25.622855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length25.884615
Min length2

Characters and Unicode

Total characters673
Distinct characters31
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

Unique20 ?
Unique (%)76.9%

Sample

1st rowhttps://www.josunhotel.com/hotel/westinBusan.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/
5th rowhttps://hotelillua.com/
ValueCountFrequency (%)
없음 6
23.1%
https://www.josunhotel.com/hotel/westinbusan.do 1
 
3.8%
http://www.toyoko-inn.kr 1
 
3.8%
http://www.haesurak.com 1
 
3.8%
http://www.centralhotel.kr 1
 
3.8%
https://gjb.josunhotel.com/main.do 1
 
3.8%
https://www.lottehotel.com/busan-signiel/ko.html 1
 
3.8%
http://busan-laon.com 1
 
3.8%
https://sjbrowndt.modoo.at 1
 
3.8%
https://www.shillastay.com/haeundae/index.do 1
 
3.8%
Other values (11) 11
42.3%
2024-03-15T04:23:26.653594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 70
 
10.4%
/ 68
 
10.1%
o 55
 
8.2%
. 48
 
7.1%
h 44
 
6.5%
w 44
 
6.5%
e 34
 
5.1%
a 34
 
5.1%
l 30
 
4.5%
s 26
 
3.9%
Other values (21) 220
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 518
77.0%
Other Punctuation 136
 
20.2%
Other Letter 12
 
1.8%
Dash Punctuation 3
 
0.4%
Decimal Number 2
 
0.3%
Connector Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70
13.5%
o 55
10.6%
h 44
 
8.5%
w 44
 
8.5%
e 34
 
6.6%
a 34
 
6.6%
l 30
 
5.8%
s 26
 
5.0%
m 26
 
5.0%
n 26
 
5.0%
Other values (12) 129
24.9%
Other Punctuation
ValueCountFrequency (%)
/ 68
50.0%
. 48
35.3%
: 20
 
14.7%
Other Letter
ValueCountFrequency (%)
없 6
50.0%
음 6
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
0 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 519
77.1%
Common 142
 
21.1%
Hangul 12
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 70
13.5%
o 55
10.6%
h 44
 
8.5%
w 44
 
8.5%
e 34
 
6.6%
a 34
 
6.6%
l 30
 
5.8%
s 26
 
5.0%
m 26
 
5.0%
n 26
 
5.0%
Other values (13) 130
25.0%
Common
ValueCountFrequency (%)
/ 68
47.9%
. 48
33.8%
: 20
 
14.1%
- 3
 
2.1%
0 2
 
1.4%
_ 1
 
0.7%
Hangul
ValueCountFrequency (%)
없 6
50.0%
음 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 661
98.2%
Hangul 12
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 70
 
10.6%
/ 68
 
10.3%
o 55
 
8.3%
. 48
 
7.3%
h 44
 
6.7%
w 44
 
6.7%
e 34
 
5.1%
a 34
 
5.1%
l 30
 
4.5%
s 26
 
3.9%
Other values (19) 208
31.5%
Hangul
ValueCountFrequency (%)
없 6
50.0%
음 6
50.0%

주변관광정보
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size336.0 B
동백섬, 해운대해수욕장 등
15 
송정해수욕장, 구덕포 등
6 
달맞이언덕, 해운대해수욕장 등
4 
동백섬, 영화의 거리 등
 
1

Length

Max length16
Median length14
Mean length14.038462
Min length13

Unique

Unique1 ?
Unique (%)3.8%

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 15
57.7%
송정해수욕장, 구덕포 등 6
 
23.1%
달맞이언덕, 해운대해수욕장 등 4
 
15.4%
동백섬, 영화의 거리 등 1
 
3.8%

Length

2024-03-15T04:23:26.970649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:23:27.166621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등 26
32.9%
해운대해수욕장 19
24.1%
동백섬 16
20.3%
송정해수욕장 6
 
7.6%
구덕포 6
 
7.6%
달맞이언덕 4
 
5.1%
영화의 1
 
1.3%
거리 1
 
1.3%

Interactions

2024-03-15T04:23:12.345525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:23:11.863729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:23:12.664952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:23:12.103511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:23:27.307412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업종명소재지연락처객실수부대시설홈페이지주소주변관광정보
연번1.0001.0000.0001.0001.0000.5890.4670.8600.435
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
업종명0.0001.0001.0001.0001.0000.0000.6971.0000.272
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.000
객실수0.5891.0000.0001.0001.0001.0000.5540.9320.000
부대시설0.4671.0000.6971.0001.0000.5541.0000.8170.771
홈페이지주소0.8601.0001.0001.0001.0000.9320.8171.0000.823
주변관광정보0.4351.0000.2721.0001.0000.0000.7710.8231.000
2024-03-15T04:23:27.523288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명주변관광정보
업종명1.0000.245
주변관광정보0.2451.000
2024-03-15T04:23:27.759217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수업종명주변관광정보
연번1.000-0.5050.0000.333
객실수-0.5051.0000.0000.000
업종명0.0000.0001.0000.245
주변관광정보0.3330.0000.2451.000

Missing values

2024-03-15T04:23:12.947689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:23:13.506251image/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
01웨스틴조선 부산관광호텔관광객가능부산광역시 해운대구 동백로 67(중동)051-749-7000290레스토랑, 연회, 웨딩 등Y현금+카드https://www.josunhotel.com/hotel/westinBusan.do동백섬, 해운대해수욕장 등
12파라다이스호텔 부산관광호텔관광객가능부산광역시 해운대구 해운대해변로 296(중동)051-742-2121528레스토랑, 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/동백섬, 해운대해수욕장 등
45(주)호텔일루아관광호텔관광객가능부산광역시 해운대구 달맞이길 97051-744-133157레스토랑, 라운지바 등Y현금+카드https://hotelillua.com/달맞이언덕, 해운대해수욕장 등
56제이비디자인호텔관광호텔관광객가능부산광역시 해운대구 구남로 12번길 31051-750-900080레스토랑 등Y현금+카드http://www.jbdesignhotel.com/html/00_main/동백섬, 해운대해수욕장 등
67플레르 호텔관광호텔관광객가능부산광역시 해운대구 송정광어골로 70051-701-760148레스토랑 등Y현금+카드https://plaire.modoo.at/송정해수욕장, 구덕포 등
78베니키아 해운대 호텔마리안느관광호텔관광객가능부산광역시 해운대구 해운대해변로 310051-606-0600127레스토랑 등Y현금+카드http://www.mariannehotel.net동백섬, 해운대해수욕장 등
89이비스 버젯 앰배서더 해운대관광호텔관광객가능부산광역시 해운대구 해운대해변로 209번길 8051-901-1100181레스토랑 등Y현금+카드없음동백섬, 해운대해수욕장 등
910올라호텔관광호텔관광객가능부산광역시 해운대구 송정광어골로 49051-704-000142레스토랑 등Y현금+카드http://www.ollahotel.com/송정해수욕장, 구덕포 등
연번업소명업종명서비스대상구분외국어안내서비스소재지연락처객실수부대시설주차장보유여부결제방법홈페이지주소주변관광정보
1617선트리 호텔관광호텔관광객가능부산광역시 해운대구 달맞이길 209 (중동)051-742-002132카페 등Y현금+카드없음달맞이언덕, 해운대해수욕장 등
1718시그니엘 부산관광호텔관광객가능부산광역시 해운대구 달맞이길 30(중동)051-922-1000260사우나 등Y현금+카드https://www.lottehotel.com/busan-signiel/ko.html달맞이언덕, 해운대해수욕장 등
1819그랜드조선 부산관광호텔관광객가능부산광역시 해운대구 해운대해변로 292(중동)051-922-5000330사우나 등Y현금+카드https://gjb.josunhotel.com/main.do동백섬, 해운대해수욕장 등
1920해운대센트럴호텔관광호텔관광객가능부산광역시 해운대구 해운대해변로298번길 33(중동)051-760-9001132레스토랑 등Y현금+카드http://www.centralhotel.kr/동백섬, 해운대해수욕장 등
2021인더스트리호텔관광호텔관광객가능부산광역시 해운대구 구남로 24번길 16051-742-930950레스토랑 등Y현금+카드없음동백섬, 해운대해수욕장 등
2122브라운도트 해운대점관광호텔관광객가능부산광역시 해운대구 구남로24번길 16 (우동, 인더스트리 호텔)051-710-930950레스토랑 등Y현금+카드없음동백섬, 해운대해수욕장 등
2223퍼스트 호텔관광호텔관광객가능부산광역시 해운대구 달맞이길62번길 38, 4층(중동)051-747-650030레스토랑, 유흥주점Y현금+카드없음동백섬, 해운대해수욕장 등
2324더쿨리스트 호텔관광호텔관광객가능부산광역시 해운대구 송정광어골로 11, 더쿨리스트 호텔 (송정동)<NA>53수영장, 레스토랑 등Y현금+카드없음송정해수욕장, 구덕포 등
2425송정해수락가족호텔관광객가능부산광역시 해운대구 송정해변로 8-17(송정동)051-702-192837사우나 등Y현금+카드http://www.haesurak.com/송정해수욕장, 구덕포 등
2526미포오션사이드호텔소규모호텔관광객가능부산광역시 해운대구 달맞이길62번길 28(중동)051-601-430028음식점 등Y현금+카드http://www.mipohotel.com/달맞이언덕, 해운대해수욕장 등