Japan Hostel Dataset

The data contains information and ratings of 342 hostels in Japan

hostels

Format

A data frame with 342 rows and 15 variables. The variables are as follows:

hostel_name

Hostel Name

city

City name where hostel is located

price_from

Min price for 1 night stay

distance

Distance from city center (km)

summary_score

Summary score of ratings

rating_band

Rating band

atmosphere

Rating score of atmosphere

cleanliness

Rating score of cleanliness

facilities

Rating score of facilities

location

Rating score of location

security

Rating score of security

staff

Rating score of staff

valueformoney

Rating score of value for money

lon

Longitude

lat

Latitude

Source

The data was obtained from Japan Hostel Dataset.

Note

This is a good dataset to explore mapping.

Examples

summary(hostels)
#>  hostel_name                  city       price_from         distance     
#>  Length:342         Fukuoka-City: 19   Min.   :   1000   Min.   : 0.000  
#>  Class :character   Hiroshima   : 14   1st Qu.:   2000   1st Qu.: 2.300  
#>  Mode  :character   Kyoto       : 78   Median :   2500   Median : 4.500  
#>                     Osaka       :104   Mean   :   8388   Mean   : 5.723  
#>                     Tokyo       :127   3rd Qu.:   2900   3rd Qu.: 8.450  
#>                                        Max.   :1003200   Max.   :36.600  
#>                                                                          
#>  summary_score       rating_band    atmosphere      cleanliness    
#>  Min.   : 3.100   Fabulous :106   Min.   : 2.000   Min.   : 2.000  
#>  1st Qu.: 8.600   Good     : 11   1st Qu.: 7.800   1st Qu.: 8.800  
#>  Median : 9.000   Rating   :  8   Median : 8.600   Median : 9.300  
#>  Mean   : 8.783   Superb   :182   Mean   : 8.239   Mean   : 9.012  
#>  3rd Qu.: 9.400   Very Good: 20   3rd Qu.: 9.000   3rd Qu.: 9.800  
#>  Max.   :10.000   NA's     : 15   Max.   :10.000   Max.   :10.000  
#>  NA's   :15                       NA's   :15       NA's   :15      
#>    facilities        location         security          staff       
#>  Min.   : 2.000   Min.   : 2.000   Min.   : 2.000   Min.   : 2.000  
#>  1st Qu.: 8.000   1st Qu.: 8.000   1st Qu.: 8.700   1st Qu.: 9.000  
#>  Median : 9.000   Median : 9.000   Median : 9.200   Median : 9.400  
#>  Mean   : 8.598   Mean   : 8.695   Mean   : 8.947   Mean   : 9.133  
#>  3rd Qu.: 9.300   3rd Qu.: 9.400   3rd Qu.: 9.600   3rd Qu.: 9.800  
#>  Max.   :10.000   Max.   :10.000   Max.   :10.000   Max.   :10.000  
#>  NA's   :15       NA's   :15       NA's   :15       NA's   :15      
#>  valueformoney         lon             lat        
#>  Min.   : 4.000   Min.   :103.9   Min.   : 1.311  
#>  1st Qu.: 8.600   1st Qu.:135.5   1st Qu.:34.669  
#>  Median : 9.000   Median :135.8   Median :34.998  
#>  Mean   : 8.848   Mean   :136.8   Mean   :34.977  
#>  3rd Qu.: 9.500   3rd Qu.:139.8   3rd Qu.:35.697  
#>  Max.   :10.000   Max.   :139.9   Max.   :36.205  
#>  NA's   :15       NA's   :44      NA's   :44