Data visualization is a vast field and if you are reading this post it means you are interested in getting better. So now that you know common mistakes, here are some resources that will help you ...

Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

Visualizing data is a task no longer strictly resigned for data journalists — it has become an indispensable skill for all reporters. Graphs and charts have been especially critical in coverage of the ...

Purposely or by accident, unfortunately, data visualizations these days are riddled with errors, mistakes, and bloopers. This was the topic of Yogi Schulz’s Analytics Unleashed 2021 presentation.

Pick a Graph That Displays a Hierarchy in the Data Four categories of graphs are suitable to display hierarchies in data: composition, distribution, relationship and comparison.

The two graphs below show the exact same data, but use different scales for the y-axis: On the left, we’ve constrained the y-axis to range from 3.140% to 3.154%.

You can visualize data using a dedicated tool. In this article, I am going to mention the best free online data visualization tools using which you can generate graphs and charts for your datasets.

Data visualization allows viewers to see the patterns in reams of numbers. It’s the craft of simplifying the complex. Done poorly, it confuses, misleads, or even lies.