Data Visualization

Titles aren’t exactly the first thing you think of when optimizing your data visualization. Yet, titles are almost ALWAYS the first or second thing people see. And for good reasons: Titles are larger in size and formatted differently They are optimally placed towards the top left where our eyes tend to go first anyways.  So […]

How you design your visualizations and dashboards will vary depending on whether your analysis is exploratory or explanatory in nature. It’s important to know the differences between these two types because they serve different objectives. Why bother knowing this? Because you risk your visualizations being irrelevant or misguided and that may even cost you your

I remember when I first started in the data analytics field, I was unaware of color best practices for my visualizations. Sometime later I came across a trending hashtag on Twitter to stop using the rainbow palette (a default palette that was popular at that time) in order to make visualizations colorblind-friendly. That’s when I started

Anyone who has ever tried to make a chart using their data has hit a viz block. Nowadays, we have easy access to tools that can turn your table into any chart in a matter of click. But as a result, it’s common to feel overwhelmed by all the options when choosing the right data