How to explore a PySpark Dataframe — Show(), Printschema(), Describe() explained

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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 .

I prefer to use “Docker” because it is configured locally on my system, and I can avoid any limitations…