As a data analyst you will have to work with a big amount of data. Extracting meaningful insights from your data can be done by dividing your data into subsets using Pandas library. It's a simple way to perform several types of analyses such as descriptive statistics. In this lab, you will use Pandas library to extract insights from your data by dividing it into into several subsets. You might also need to use some Pandas descriptive statistics functions.

Open the main.ipynb file in your-code directory. There are 3 challenges and in each challenge you will work with 3 different datasets. All the datasets are in the data folder. Please keep in mind that you might also need to use some of the functions you saw in previous lessons. Remember there is a common thread!

You have here three exercises regarding three different datasets. The questions are similar so it is mandatory to deliver just one of the exercises. If you want to go further feel free!

• main.ipynb with your responses.

Upon completion, add your deliverables to git. Then commit git and push your branch to the remote.

Pandas Documentation

10 Minutes to Pandas

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