So your boss hands you a database and tells you to come back with dataviz on what it contains. This may be a straightforward task, but what if the database is not formatted the way you expected? What if it contains unnecessary fields? Sounds like you may need to massage the data. The ZingChart team recently performed some data massaging and has some helpful tips on the process.
We’ve talked a lot about data here on the ZingChart blog – data types, dataviz, data culture. But today we’re going to cover the minutiae of data analysis. Enter Visual Insights: A Practical Guide to Making Sense of Data, an MIT Press publication authored by Katy Börner and David E. Polley. This book is chock full of:
- Beautiful visualizations
- Helpful self-assessment quizzes
- Hands-on tutorials
This book is designed to guide readers through the process of understanding their dataset and the best type of analysis to visualize the data. While the topic can get quite detailed, there are some key takeaways that anyone interested in dataviz can use on a regular basis.