Data visualization UI: best practices and winning approaches

What are the best practices for data visualization UI?

This is the article I have written with Transcenda and you can read it in full here. I will highlight some of my favorite points here:

1. Every piece of on-screen real estate in a data visualization should contribute to a clear and easy-to-follow visual logic.

2. Your choice of bar graphs, pie charts, line graphs and other visualization types contributes to the story you're telling with data.

3. There is no one generic audience for every digital product. Your specific application will have a very specific target group of users. One way to determine whether the UI design process is on the right track is to ask, "Will my target audience be able to take value from this chart?"

4. When data is detailed enough to demand interaction, transformation or drilling down, it's important to support these interactive data visualization features and make them intuitive. Otherwise, audiences can fail to fully explore the data set.