Conducting surveys and polls is one of the best ways to collect data and gain insight into questions like why are customers leaving our website? or why are voters attracted to this candidate? But analyzing survey data can be a real challenge!

In this tutorial, we’re going to walk through how to analyze survey data using Python. But don’t worry — even if you’ve never written code before, you can handle this! We’re going to take it step by step, and by the end of this tutorial you’ll see how you can unlock some pretty impressive analytical power with just a few lines of code!

For the purposes of this article, we’ll be analyzing StackOverflow’s 2019 developer survey data, because it’s a large and recent survey data set that’s public and properly anonymized. But these techniques will work for almost any sort of survey data.

Most survey data will be in a similar format to what we’re working with here: a spreadsheet where each row contains one person’s answers, and each column contains all the answers to a particular question. Here’s a snippet of our data set; yours will probably look similar.

#beginner #pandas #python #survey #tutorials