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Starbucks Customer Feedback Data
Reviews & Ratings
Tags and Keywords
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Free
About
This dataset contains a collection of consumer reviews and ratings for Starbucks, a renowned coffeehouse chain. The data was collected through web scraping and includes textual reviews, star ratings, location information, and image links from multiple pages on the ConsumerAffairs website. It offers valuable insights into customer sentiment and feedback about Starbucks locations.
Columns
- name: The reviewer's name, if available [6, 7].
- location: The location or city associated with the reviewer, if provided, often indicating the store they visited [6, 7].
- Date: The date when the review was posted [6, 7].
- Rating: The star rating given by the reviewer, ranging from 1 to 5 [6, 7].
- Review: The textual content of the review, capturing the reviewer's experience and opinions [6, 7].
- Image_Links: Links to images associated with the reviews, if available [6, 7].
Distribution
This dataset is typically provided in a CSV file format [2]. It contains a collection of customer reviews and associated details. Specific row or record counts are not available in the provided information, but it is indicated to be a significant collection derived from multiple web pages [6, 7]. Sample data shows various percentages for unique values and occurrences, suggesting a varied and sizable input [7, 8].
Usage
- Sentiment Analysis: Ideal for researchers and data analysts to perform sentiment analysis to understand customer sentiment towards Starbucks [6].
- Consumer Insights: Businesses can gain valuable insights into customer preferences and areas for improvement based on the reviews and ratings [6].
- Natural Language Processing (NLP): NLP practitioners can utilise the textual reviews for various NLP tasks, such as text classification, summarisation, and topic modelling [6].
Coverage
The dataset's geographic scope is global [9], with specific location information often available in the 'location' column [6, 7]. The time range of the reviews is indicated by the 'Date' column [6, 7], though a specific start and end date range is not detailed. Demographic scope primarily includes reviewer names where available, although a large portion of names may be aggregated as 'Other' [7]. Data availability notes include instances where review text or image links may not be present for certain records [7, 8].
License
CC-BY
Who Can Use It
- Researchers and Data Analysts: For conducting sentiment analysis and gaining an understanding of customer opinions regarding Starbucks [6].
- Businesses: To acquire insights into customer preferences, identify areas for operational improvement, and enhance service quality based on direct feedback [6].
- NLP Practitioners: For developing and testing models related to text classification, summarisation, and topic modelling using real-world consumer feedback [6].
Dataset Name Suggestions
- Starbucks Customer Feedback Data
- Starbucks Consumer Reviews and Ratings
- Starbucks Store Customer Reviews
- Global Starbucks Reviews
Attributes
Original Data Source: Starbucks Reviews Dataset
QUALITY