A comprehensive nutrition analysis of every menu item, spanning breakfast, beef burgers, chicken and fish sandwiches, fries, salads, soda, coffee and tea, milkshakes, and desserts. You can find the article here: medium.com
A comprehensive nutrition analysis of every menu item, spanning breakfast, beef burgers, chicken and fish sandwiches, fries, salads, soda, coffee and tea, milkshakes, and desserts.
This repository contains two datasets related to McDonald's menu items and customer reviews:
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menu_2.csv: A comprehensive nutrition analysis of every menu item on the US McDonald's menu, including breakfast, beef burgers, chicken and fish sandwiches, fries, salads, soda, coffee and tea, milkshakes, and desserts. This dataset provides detailed nutritional information for each menu item, making it a valuable resource for nutritional analysis and menu planning. -
reviews.csv: A dataset containing customer reviews and ratings for various McDonald's menu items. This dataset includes information about customer feedback, such as item reviews, star ratings, and more. It can be used for sentiment analysis and understanding customer preferences.
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menu_2.csv: This CSV file contains the nutrition data for McDonald's menu items, including serving size, calorie information, fat content, carbohydrates, proteins, vitamins, and more. -
reviews.csv: This CSV file contains customer reviews and ratings for McDonald's menu items. It includes fields such as item name, user rating, review text, and review date.
These datasets can be used for a variety of purposes, including:
- Nutritional analysis of McDonald's menu items.
- Menu planning and development for fast-food businesses.
- Sentiment analysis and customer feedback analysis.
- Exploratory data analysis and data visualization.
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menu_2.csv: This dataset is an adaptation of the original dataset sourced from Kaggle. The original dataset can be found at Kaggle McDonald's Nutrition Facts. -
reviews.csv: The source it is related to customer reviews of McDonald's menu items. Sourced from university UOC.
The datasets provided here are for educational and research purposes. If you plan to use them for commercial purposes or distribution, please review the licensing terms of the original data sources and comply with any relevant licensing agreements.
- [Ricard Santiago Raigada García]
If you have any questions, suggestions, or feedback regarding these datasets or this repository, please feel free to contact [ricardraigada@outlook.es].
Happy analyzing!