Exploring Google apps data

The first dataset you'll work with contains information about the ratings of around 10,800 apps on the Google Play store. It has been preloaded into a DataFrame called ratings. There are 13 features that describe a given app, such as 'Category' and 'Price'. The goal is to use this information to predict the rating of an app, which can range from 1 to 5.

Before doing that, it's a good idea to familiarize yourself with the dataset using pandas methods such as .head() and .describe(). Explore the data in the IPython Shell and select the incorrect statement from the options below.