Exercise

# EDA statistics

As mentioned in the slides, you'll work with New York City taxi fare prediction data. You'll start with finding some basic statistics about the data. Then you'll move forward to plot some dependencies and generate hypotheses on them.

The `train`

and `test`

DataFrames are already available in your workspace.

Instructions 1/2

**undefined XP**

- Find the shapes of the train and test data.
- Look at the head of the train data.