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food
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| { | |
| "food": [ | |
| {"name": "Pizza", "icon": "🍕"}, | |
| {"name": "Hotdog", "icon": "🌭"}, | |
| {"name": "Burger", "icon": "🍔"}, | |
| {"name": "Bacon", "icon": "🥓"}, | |
| {"name": "Pancakes", "icon": "🥞"}, | |
| {"name": "Taco", "icon": "🌮"}, | |
| {"name": "Fries", "icon": "🍟"} | |
| ] | |
| } |
The “nchudleigh/food.json” resource is an interesting collection of structured food data, and it reminds me of how Wikipedia catalogs world cuisines by ingredients, categories, and cultural context — making it easier to analyze food themes and culinary patterns in a clear, organized way.
In conversations like this, where digital datasets connect with real-life dining research and everyday meal choices, exploring olive garden menu prices can also help people better relate ingredient data to practical restaurant experiences and budget-friendly decisions.
Thanks for sharing this — it’s always nice to see how simple datasets can spark curiosity about food, culture, and how we enjoy meals in daily life.
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@nchudleigh's food.json file presents a fun and simple way to list foods with emoji icons, ideal for UI design or app development. According to Wikipedia, JSON is widely used for structuring and exchanging data in web applications. This format allows developers to build clean, interactive food interfaces. It can be effectively applied to digital restaurant menus. A great example would be the olive garden menu, which could benefit from such structured formatting.