Tarvel Review Ratings
Donated on 12/18/2018
Google reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated.
Dataset Characteristics
Multivariate, Text
Subject Area
Other
Associated Tasks
Classification, Clustering
Feature Type
Real
# Instances
5456
# Features
-
Dataset Information
Additional Information
This data set is populated by capturing user ratings from Google reviews. Reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
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0 to 10 of 25
Additional Variable Information
Attribute 1 : Unique user id Attribute 2 : Average ratings on churches Attribute 3 : Average ratings on resorts Attribute 4 : Average ratings on beaches Attribute 5 : Average ratings on parks Attribute 6 : Average ratings on theatres Attribute 7 : Average ratings on museums Attribute 8 : Average ratings on malls Attribute 9 : Average ratings on zoo Attribute 10 : Average ratings on restaurants Attribute 11 : Average ratings on pubs/bars Attribute 12 : Average ratings on local services Attribute 13 : Average ratings on burger/pizza shops Attribute 14 : Average ratings on hotels/other lodgings Attribute 15 : Average ratings on juice bars Attribute 16 : Average ratings on art galleries Attribute 17 : Average ratings on dance clubs Attribute 18 : Average ratings on swimming pools Attribute 19 : Average ratings on gyms Attribute 20 : Average ratings on bakeries Attribute 21 : Average ratings on beauty & spas Attribute 22 : Average ratings on cafes Attribute 23 : Average ratings on view points Attribute 24 : Average ratings on monuments Attribute 25 : Average ratings on gardens
Renjith,Shini. (2018). Tarvel Review Ratings. UCI Machine Learning Repository. https://doi.org/10.24432/C5C31Q.
@misc{misc_tarvel_review_ratings_485,
author = {Renjith,Shini},
title = {{Tarvel Review Ratings}},
year = {2018},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5C31Q}
}pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset tarvel_review_ratings = fetch_ucirepo(id=485) # data (as pandas dataframes) X = tarvel_review_ratings.data.features y = tarvel_review_ratings.data.targets # metadata print(tarvel_review_ratings.metadata) # variable information print(tarvel_review_ratings.variables)
Creators
Shini Renjith
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.