Beginner’s Guide: Python for Analytics | Pandas

Beginner’s Guide to Using Python with HR Data | Exploration Series

Part Two – Pandas

In this first tutorial series, I’m exploring the IBM HR Attrition and Performance data set. This is a great data set used to demonstrate the possibilities from using machine learning and other data science techniques.

Next, we’ll take a look at the power of Pandas to plot our data. As a budding data [analyst/scientist/enthusiast], Pandas has become my most common import and tool. Plotting directly from pandas objects makes it very easy to stay in the flow of analyzing data. Let’s get going.

Series Outline

0: basic operations & summary statistics

1: matplotlib

2: pandas visualization

3: seaborn

4: plotly

5: series summary

2: Pandas

view on github