Step by step guide to reconstruct a data visualization with python and plotly
The aim of this article is to identify an interesting data visualization and learn how to reconstruct it as an interactive plot with python. As a researcher in wearable technology, I find the health and behaviroal trends captured by Oura Ring facinating. Therefore, I will take you step-by-step as I work to reverse engineer a plot from their LinkedIn page (see below).
The replication won’t be perfect, but it’s a great exercise to work on python skills and utilize the great tools available with plotly.
Plotly, pandas, and numpy are three python libraries used in this tutorial. You can learn more about each library by clicking on the links below:
Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots…
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of…
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
Let’s start coding.