Data Visualization with Python and JavaScript, 2nd Edition

Part V. Visualizing Your Data with D3 and Plotly

In this part of the book, we take our hard-won Nobel Prize dataset, scraped from the web in Chapter 6 and cleaned in Chapter 9, and turn it into a modern, engaging, interactive web visualization using the Python- and JS-based Plotly library and D3, the heavyweight JS dataviz library (see Figure V-1).

We’ll cover the realization of the D3 Nobel Prize dataviz in some detail, acquiring D3 and JavaScript knowledge as we go. First, let’s imagine what our visualization should be, using insights gained in Chapter 11.

You can find the Python and JavaScript source code for this visualization in the nobel_viz directory of the book’s GitHub repo (see “The Accompanying Code” for details).

Figure V-1. Our dataviz toolchain: getting the data

Tip

You can find the code for this part of the book at the book’s GitHub repo.