“My eyes! The goggles do nothing!” — ‘Radioactive Man’ (S07E02@16m7s)
How do you produce interactive visualizations using Plotly or Altair? How can these visualizations drive further insights or communicate powerful messages?
Do you…
Then join us for a session on plotting without matplotlib!
Matplotlib is a fantastic tool for publication-quality visualizations and for communicating complex conclusions about static data. But what if we need an interactive visualization—one which we can explore in various ways and which we can dynamically update?
In this episode, we’ll take a look at Javascript-based plotting tools such as Plotly and Altair for interactive visualizations and compare them to what we’re able to do in Matplotlib. We’ll see how these tools can give further insights into our data and allow us to create complex, interactive analyses that can communicate sophisticated conclusions. We’ll seek answers to questions like: where do these new tools improve upon Matplotlib’s API? We’ll discuss how these various tools diverse from each other, and we’ll show examples of using Altair and Plotly for effective data exploration and communication.
Keywords: plotting, visualization, matplotlib, plotly, altair, graph, charts