Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

Simply put, bar charts are really quick to create, show comparisons clearly, and are easy for the audience to understand. They’re a staple in the data visualization arsenal.

The classic horizontal bar chart is something we’re all familiar with. For many of us, it was the first ‘chart’ we learnt in school, usually alongside Venn diagrams and line graphs. That’s ...

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot.

Truncated Y-Axis. One of the easiest ways to misrepresent your data is by messing with the y-axis of a bar graph, line graph, or scatter plot. In most cases, the y-axis ranges from 0 to a maximum ...

Visualizations can help you understand data better – but they can also confuse or mislead. Here, some tips on what to watch out for. 3 questions to ask yourself next time you see a graph, chart ...