This document provides an overview of fundamentals for creating effective data visualizations. It discusses:
1) Why visualization is important for communicating information and insights from data.
2) Key aspects of describing data meaningfully, including distinguishing between quantitative and qualitative data types.
3) Best practices for visual encoding techniques that maximize pre-attentive processing and clarity of visuals.
4) The steps involved in making a descriptive, unique and engaging data graphic, including gathering and organizing data, writing annotations to tell a story, selecting appropriate visualizations, and experimenting through iteration.