Reading, selecting, and interpreting data with visualizations

In this recipe, we will have the help of a known dataset. We will use TechCrunch's Continental USA CSV file that contains the listing of 1,460 company funding rounds. This is how it looks. It contains data points, such as the company name, number of employees, funding date, amounts raised, and type of funding (series A or angel funding):

Reading, selecting, and interpreting data with visualizations

  1. Now, let's install the modules that we will use to read and select the data from this CSV file. Before doing that, we will set up a virtual environment and activate it:
    chetans-MacBookPro:ch11 Chetan$ virtualenv analyze
    New python executable in analyze/bin/python2.7 ...

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