OpenML
Amazon-Echo-Dot-2-Reviews-Dataset

Amazon-Echo-Dot-2-Reviews-Dataset

active ARFF CC BY-SA 4.0 Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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Context Since Amazon Echo Dot 2 has been the best selling Alexa product, we decided to extract the reviews posted on Amazon for this device. This particular dataset contains reviews posted in September and October 2017. The complete dataset with all the reviews from 2016 can be downloaded from DataStock - a repository of clean and structured web datasets with historical records. Content Given below are the data fields: Pageurl Title Review Text Device Color User Verified Review Date Review Useful Count Configuration Rating Declaration Text (Example: Vine Voice, Top 100 reviewer, etc.) Acknowledgements This dataset has been created via PromptCloud's in-house web data extraction solution. Inspiration The initial set of analyses can be access here - https://goo.gl/XHVe9b.

10 features

Rating (target)numeric5 unique values
0 missing
Pageurlstring3662 unique values
0 missing
Titlestring3407 unique values
2 missing
Review_Textstring5823 unique values
11 missing
Review_Colorstring2 unique values
0 missing
User_Verifiedstring1 unique values
214 missing
Review_Datestring56 unique values
0 missing
Review_Useful_Countnumeric4 unique values
6827 missing
Configuration_Textstring2 unique values
0 missing
Declaration_Textstring4 unique values
6849 missing

19 properties

6855
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
13903
Number of missing values in the dataset.
6854
Number of instances with at least one value missing.
2
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
20
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
99.99
Percentage of instances having missing values.
-0.12
Average class difference between consecutive instances.
20.28
Percentage of missing values.

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