Author: Zen and the Art of Computer Programming
1 Introduction
Data visualization refers to the presentation of complex data in a graphical format that can be easily understood by both humans and machines. It helps businesses and researchers gain valuable insights from their large and complex datasets through statistical analysis, patterns, correlations, and outliers. In this article we will explore four popular open-source data visualization tools - Tableau, D3.js, Matplotlib, and ggplot2 - along with examples on how they can be used effectively to create engaging and informative data visualizations. We'll also discuss some key concepts like color theory, scales, and design principles, as well as explore how these tools can help improve decision-making processes, lead to better outcomes, and increase brand awareness.
2. Concepts and Terminology
Before exploring specific features of each of the data visualization tools, let's first u