SartajBhuvaji / cerealicious

A fun way to visualize nutrients in milk and cereals! | A project under CPSC 5320 Visual Analytics

Home Page:https://sartajbhuvaji.github.io/cerealicious/

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Cerealicious

A project under CPSC 5320 Visual Analytics

A fun way to visualize nutrients in milk and cereals!

Motivation

  • Health and nutrition awareness: Increasing awareness among consumers regarding the nutritional content of the foods they consume various dietary choices to promote overall health and well-being.
  • Diverse milk options: Wide range of milk options are available such as whole milk, skim milk, almond milk, soy milk, etc. but consumers often face difficulties in comparing their nutritions.
  • Cereal variations: Variety of cereals available, but consumers are often overwhelmed when trying to compare their nutritions.
  • Lack of comprehensive information: Nutritional information available on product packaging or websites is often fragmented or confusing to understand, making it challenging for everyday consumers to make informed choices.
  • Need for visualization: A well-designed visualization can simplify complex information, facilitate comparison, and enable consumers to make more informed decisions about their purchases.
  • Cost considerations: Visualization that includes cost, which allows consumers to consider both nutritional values and affordability when choosing milk and cereal options.

Intended Audience

  • Budget-conscious individuals, such as college students or those on a tight budget, seeking affordable breakfast options.
  • Health-conscious individuals interested in selecting nutritious breakfast choices.
  • Dietitians and nutritionists who analyze and provide guidance on meal planning and nutrition.

Questions Answered

  • What are the different nutrient constituents in different kinds/types of milk and cereal?
  • What is the most affordable breakfast option per serving?
  • Can we compare different cereal and milk combinations?
  • What are the environmental impacts of a glass of milk?

Dataset and Tools

Datasets:

  • Manual Data Collection

Tools :

  • Preprocessing
    • Excel
    • Python
  • Visualization: D3.js

About

A fun way to visualize nutrients in milk and cereals! | A project under CPSC 5320 Visual Analytics

https://sartajbhuvaji.github.io/cerealicious/


Languages

Language:HTML 58.6%Language:JavaScript 23.5%Language:CSS 15.4%Language:SCSS 2.4%