How to explore a PySpark Dataframe — Show(), Printschema(), Describe() explained Press enter or click to view image in full size Photo by Andrew Neel on Unsplash From the previous blog, “ A Quick Guide to Reading and Writing Files in PySpark ”, you had some idea how you can initiate the reading and writing process with PySpark. Starting to learn a coding language can feel overwhelming. It’s normal to wonder where to begin. I am saving this blog as a data exploration guide in PySpark. What are the key functions I need to remember for this purpose? This way, I can refer to the steps whenever I need them for any project. Your Coding Environment Set up There are multiple environments where you can start with your coding. But if you are looking for a free environment, then Docker or Google Colab environments are good options. How to set up or configure, please see my blogs about Docker and Colab .…