We’re used to seeing interactive visualizations in on-line newspapers, and infrequently we would marvel what instruments information journalists use to create these professional-looking visualizations. The fact is that no particular software program is required to create such a visualizations; most interactive visualization libraries in Python are extremely customizable, permitting for the creation of high-quality visualizations from a design perspective. On this article, we’ll present step-by-step find out how to customise an interactive visualization created in Plotly to considerably enhance its design with only a few tweaks.
For this text, we’ll use a easy visualization, such because the temporal evolution of a variable. The information to be visualized corresponds to the German inhabitants from the 12 months 1800 to 2020. First, we’ll create the best potential visualization of the information with Plotly, with none customization. Subsequently, we’ll clarify all of the customizations used step-by-step, and the code for the improved visualization will likely be supplied on the finish of the article.