Chart Selection Guide: Time Series, Ranking, and Part-to-Whole Data

Choosing the wrong chart can obscure critical insights and confuse your audience. Knowing when to use a line chart, a bar chart, or a treemap is the foundation of impactful data communication. This text-only course guides you through the principles of chart selection, helping you match your data's relationship type to the most effective visual format. You will learn to structure data stories that highlight trends over time, compare discrete categories, rank performance, and show how parts contribute to a whole. What you'll learn: - Understand foundational data relationships including time series, nominal comparisons, rankings, and part-to-whole structures. - Select the ideal chart type for representing chronological trends and seasonal patterns. - Compare discrete categories effectively using modern, clean horizontal and vertical bar charts. - Represent distribution and proportions accurately without misleading your audience. - Apply modern design standards including color accessibility, high contrast, and minimalist layouts. - Analyze real-world data scenarios to determine the most readable visual presentation. The course begins with core definitions of data relationships before moving into specific chart types, design best practices, and modern accessibility guidelines. You will read through practical scenarios and analyze written explanations to build your visualization decision-making skills. Designed for beginners, this course requires no prior design or technical background. Start mastering the art of chart selection and transform raw data into clear, readable stories today.