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Pie Chart of NYC Food Data

✓ Published0🌍 Public
UUmarani Vemula
Last edited Jul 15, 2023
Created on Jul 15, 2023

This pie chart visualizes the distribution of food orders by cuisine type from a Foodhub NYC delivery dataset. Slices are sized by order count, labeled with totals, and paired with a color-coded legend, showing a clear ranking of culinary preferences. The chart uses D3.js v7 APIs including `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to group, sort, and render the data. The underlying data is loaded from a CSV file of order details, and the chart updates only after all records are parsed.

AI-generated description

Loading a dataset that has information on food orders/deliveries in NYC through the app Foodhub.

(Dataset from: https://www.kaggle.com/datasets/ahsan81/food-ordering-and-delivery-app-dataset)

Column Description/Data Types

order_id: unique id that is connected to each order (Ordinal)

customer_id: unique id that is connected to the customer ordering the food (Ordinal)

restaurant_name: name of the restaurant that the order is from (Categorical)

cuisine_type: type of food ordered (Categorical)

cost_of_the_order: how much the order cost (Quantitative)

day_of_the_week: either Weekend or Weekday, indicates when the order took place (Categorical)

rating: rating that customer gave on order (out of 5) (Quantitative)

food_preparation: time (in minutes) that it took the restaurant to prepare the order to be delivered (Quantitative)

delivery_time: time (in minutes) that it took for the order to be delivered to the customer (Quantitative)

MIT Licensed

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