Plotly is likely one of the most full libraries for visualizing knowledge in Python and, indisputably, my favourite. It has a variety of visualizations already outlined, from fundamental visualizations, similar to bar charts or pie charts, to extra particular visualizations from the statistical or knowledge science space, similar to field plots or dendrograms.
The visualization choices accessible in Plotly are immense; nonetheless, some visualizations should not accessible within the library. This doesn’t imply that we can’t do them. With a bit of ingenuity, and utilizing the customization and visualization choices current in Plotly, it’s doable to create many visualizations that, a priori, have been inconceivable to do. Considered one of them is the bump chart.
This text will clarify methods to create bump charts utilizing Plotly. Beginning with a scatter plot and a bit of creativeness and creativity, we’ll see that creating this kind of visualization is simpler than it appears.
Bump charts, also referred to as rating charts, are designed to discover modifications in a rating over time. This kind of chart means that you can rapidly establish developments…