Because you can’t analyze data without first figuring out what you’re working with

Before you start working with any dataset, it’s important to know exactly what kind of data you’re dealing with. In this piece, we’ll discuss how you can do that with just a few lines of code.

As we’ll see in a bit, Pandas is incredibly powerful not only for manipulating data but also for exploring it. However, it’s not enough to just run the code. These lines of code are only useful if you’re able to interpret and use the results that come back. For example, if you were to find that some data is missing from certain columns, this is a sign that you should investigate how much of this data is missing, why it’s missing, and how you should treat missing data in your analysis.

These techniques won’t give you all the answers for how to process and analyze your data, but they’ll give you the information needed to make good decisions moving forward.

In this piece, we’ll be going through five (and a half) things you can do with Pandas the first time you work with a new dataset.

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