Visualizing the interactions between features
D3.js is a powerful framework created by Mike Bostock to visualize data. It allows you to interactively manipulate data using HTML, SVG, and CSS. In this recipe, we will explore whether a relationship exists between the price of a property and the floor area.
Getting ready
To execute this recipe, you will need pandas and SQLAlchemy to prepare the data. For the visualization, all you need is the D3.js code (available in the GitHub repository for the book in the /Data/Chapter02/d3 folder). Some familiarity with HTML and JavaScript is required.
How to do it…
The code for this recipe comes in two parts: the data preparation (Python) and data visualization (HTML and D3.js).
The data preparation part is simple, and by now, you should be able to do it yourself. You can also refer to the Storing and retrieving from a relational database recipe from Chapter 1, Preparing the Data. We extract the data from the PostgreSQL database using SQLAlchemy. The...
