Every step between asking a question and sharing the answer is a chance to make your analysis more useful. This free four-chapter ebook helps you make thoughtful decisions at four key stages of that process. Follow a help center investigation to see how a broad request becomes a measurable question, practice cleaning messy records with pandas, and learn to choose visuals that help readers interpret your findings accurately. Then use the DIKW pyramid to give your findings context and suggest next steps. You’ll come away with practical approaches to try in your own work, from the first conversation about a project to the story you share at the end.
Everyday Data Visualization guides you through basic graphic design for the most common types of data visualization. You’ll learn how to enhance charts with color, encourage users to interact and explore data and create visualizations accessible to everyone. Along the way, you’ll practice each new skill as you take a dashboard project from research to publication.