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McDonalds Australia Review Data
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This collection features real-world customer reviews concerning McDonald's establishments throughout Australia. The data is designed to facilitate sentiment analysis, advanced text mining techniques, and the examination of customer behaviour in the quick-service restaurant sector. It allows researchers and analysts to explore customer sentiments, identify prevalent pain points, and explore regional variations in satisfaction levels.
Columns
- review_title: A succinct title or summary offering a quick insight into the customer's feedback. This column has 392 unique values.
- review_details: The extended, detailed text provided by the customer, elaborating on their specific experience and observations. This column contains 399 unique values.
- customer_name: The identifier, name, or alias used by the customer when submitting the review. This column has 377 unique unique reviewer entries.
- review_timestamp: Indicates the duration since the review was originally posted, displayed in relative time formats such as 'hours ago' or 'days ago'.
Distribution
The dataset, titled Customer-Reviews-of-McDonald.csv, currently contains 400 entries or records, detailing individual customer interactions. The file size is approximately 202.58 kB. The usability rating for this data product is 10.00. Updates to this dataset are expected to occur quarterly.
Usage
The data is suitable for several high-impact applications:
- Conducting sentiment analysis to precisely identify recurring customer dissatisfaction points.
- Utilising text mining methods to extract and prioritise frequently mentioned keywords and phrases.
- Investigating regional differences in customer satisfaction metrics across Australia.
- Developing predictive models intended to forecast customer sentiment based on review content.
Coverage
The data covers customer reviews collected from McDonald's patrons specifically within Australia. The sources confirm that the data represents real-world reviews, with timestamps ranging up to two years since the review was posted, indicating a meaningful historical scope.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
- Market Researchers: To study consumer trends and preferences in the Australian fast-food industry.
- Data Scientists: For training natural language processing (NLP) models focused on sentiment and textual classification.
- Restaurant Operations Teams: To monitor quality control and regional performance based on unsolicited feedback.
Dataset Name Suggestions
- Australian Fast Food Customer Sentiment
- McDonald's Australia Review Data
- QSR Feedback Analysis (Australia)
- Aussie Macca's Customer Experience
Attributes
Original Data Source: McDonalds Australia Review Data
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