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restaurant-orders-data

✓ Published0🌍 Public

Last edited Sep 11, 2025

Created on Sep 4, 2025

This visualization displays raw restaurant order data from a Kaggle dataset, presenting each record as a JSON object. The example loads the CSV file asynchronously and parses it using D3's `csvParse` function, mapping string attributes like "Order ID" and "Payment Method" to cleaner property names while converting numeric fields such as "Quantity" and "Price" to numbers. The `viz.js` module uses D3's `select` and `join` operations to render the parsed data as a formatted `<pre>` element, with the initial state showing "LOADING" until the fetch completes. The interaction pattern relies on a simple state management system where `setState` triggers a re-render of the visualization.

AI-generated description

Dataset 1: Restaurant Orders

Source:
Restaurant Orders Dataset

This dataset contains synthetic restaurant order records for practicing data analysis and visualization. It includes order ID, customer name, food item, category, quantity, price, payment method, and order time.
No real customer information is included.

Attributes and Types

Order ID — Quantitative, nominal (identifier)
Customer Name — Categorical, nominal
Food Item — Categorical, nominal
Category — Categorical, nominal (Main, Dessert, Starter, etc.)
Quantity — Quantitative, ratio
Price — Quantitative, ratio
Payment Method — Categorical, nominal (Cash, Card, Online)
Order Time — Ordered, time-series (string or Date)

MIT Licensed

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