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Amazon Unlocked Mobile Product Ratings
Retail & Consumer Behavior
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a collection of over 400,000 reviews for unlocked mobile phones sold on Amazon.com, gathered in December 2016. Extracted by PromptCloud's data extraction services, its primary purpose is to enable insights into the relationships between customer reviews, product ratings, and pricing for these devices. It serves as a valuable resource for analysing consumer behaviour and market trends within the e-commerce mobile phone sector.
Columns
- Product Title/Product Name: The specific name of the product, for example, "Sprint EPIC 4G Galaxy SPH-D7". There are 4,410 unique product titles.
- Brand Name: The name of the parent company that manufactures the product, such as Samsung. Samsung is the most frequently occurring brand, making up 16% of the records. It's noted that 16% of brand names are missing.
- Price: The price of the mobile phone. Prices range from a minimum of £1.73 to a maximum of £2598, with an average (mean) price of approximately £226.86. The majority of products are priced between £1.73 and £105.58.
- Rating: The product's rating given by the user, on a scale of 1 to 5. The average rating is 3.82, and the most common rating is 5, accounting for 223,605 reviews.
- Review text/Reviews: A textual description of the user's experience with the product. There are 162,492 unique review texts, with "Good" being the most common single review. A small percentage (0%) of review texts are missing.
- Number of people who found the review helpful/Review Votes: The count of users who found a particular review helpful. The number of votes ranges from 0 to 645, with an average of 1.50 votes per review. Around 3% of review vote counts are missing.
Distribution
The dataset is provided as a CSV file, named
Amazon_Unlocked_Mobile.csv, and has a file size of 131.88 MB. It contains more than 400,000 review records across 6 distinct columns. The data primarily consists of text and numerical fields related to product listings and user interactions.Usage
This dataset is ideal for:
- Data mining and exploratory data analysis of consumer feedback.
- Sentiment analysis on product reviews to understand customer satisfaction.
- Research into pricing strategies and their correlation with ratings and reviews.
- Brand performance evaluation based on user ratings and review volume.
- Identifying popular product features or common issues reported by users.
Coverage
The data was collected from Amazon.com, implying a focus on products and reviews relevant to the US market. The time range for the data is December 2016, as this is when the data was acquired. There is no specific demographic scope mentioned beyond being Amazon shoppers. It is worth noting that some data points, such as brand names and review votes, have missing values.
License
CC0: Public Domain
Who Can Use It
- Data scientists and analysts: For machine learning tasks like sentiment analysis, natural language processing, and predictive modelling.
- Market researchers: To gain insights into consumer preferences, market trends, and competitive analysis in the mobile phone industry.
- E-commerce businesses: To understand customer pain points, improve product offerings, and optimise listing strategies.
- Academics and students: For research projects on e-commerce, consumer behaviour, and big data analysis.
Dataset Name Suggestions
- Amazon Unlocked Mobile Phone Reviews 2016 Dataset
- E-commerce Handset Customer Feedback Data
- Mobile Phone Review Analysis Dataset
- Amazon Unlocked Mobile Product Ratings
Attributes
Original Data Source:Amazon Unlocked Mobile Product Ratings
QUALITY