Data set describing McDonald's Nutrition Facts. Updated June 2014.
- This project only demonstrates extraction, transformation and loading of McDonald's Nutrition Facts data.
- See documentation for ETL process details specific to this project.
- Textfiles
- Most compatible format.
- TSV: tab-separated value files.
- Nicely-formatted on GitHub. You can even search within the file on GitHub.
- JSON
- Stable, serialized data transport.
- JSON: JavaScript Object Notation.
- Very portable and processed by most modern languages.
- Spreadsheet Workbooks
- You can import XLSX or ODS spreadsheets into Google Drive Sheets.
- You can also import the spreadsheets into Zoho Docs Spreadsheets
- Open XLSX in Microsoft Excel.
- Open ODS in LibreOffice.
- SQLite Database
- Flexible, self-containted, serverless, zero-config, transactional SQL database engine.
- SQL Server 2008
- Suggested. Not Planned.
- MariaDB
- Suggested. Planned.
- Android XML
- String Resources
- Planned
- Oracle 11g
- Suggested. Not Planned.
- Oracle 12c
- Suggested. Not Planned.
- Oracle Database In-Memory
- Suggested. Not Planned.
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McDonald's is a quick service restaurant concept designed to provide a fast, convenient and rewarding guest experience.
-
McDonald's has optimized its supply chain to offer several healthy items for breakfast, lunch and dinner. Many locations are open 24 hours.
The popular menu items at McDonald's USA are divided into 9 simple categories:
- Burgers and Sandwiches
- Chicken and Fish
- Breakfast
- Salads
- Snacks and Sides
- Beverages
- McCafe
- Dessert/Shakes
- Condiments
Some menu items are in more than one category.
This project is neither endorsed by nor affliated with any McDonald's®, McDonald's® stores, McDonald's Corporation, McDonald's franchisees or any other affliated brands or entities. Nutrition information is subject to change without prior notice. Please contact McDonald's® for the latest information.
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