Introduction to the different Python Data Visualization Libraries

Data Visualization is a really important step to perform when analyzing a dataset. If performed accurately it can:

• Help us to gain a deep understanding of the dynamics underlying our dataset.
• Speed up the machine learning side of the analysis.
• Make easier for others to understand our dataset investigation.

If you are interested in finding out more about how to create interactive plots and widgets for Data Visualization using Python libraries such as: Plotly, Bokeh, nbinteract, etc…, more information is available in this article I wrote for Towards Data Science.

All the code is instead available at this link.