Your data analytics project doesn't really achieve a successful completion until you deliver the results to decision makers, whether the recipients are top executives, business unit leaders, or even the public at large. More and more data science teams are delivering those results through data visualization, forsaking spreadsheets and static charts in printed reports.
One of the key advantages to using dataviz is the interactivity and the dynamic nature of data visualizations. But you want to do it right, and remember that your data is telling a story. Get it wrong, and your data just confuses everyone.
Scott Berinato is a senior editor with the Harvard Business Review and a self-described dataviz geek. He also is author of the book Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations, in which he shares best practices in dataviz.
The HBR description notes: "Berinato lays out a system for thinking visually and building better charts through a process of
