Explore
Now that you have a list of DataFrames, let's explore one of them, the planes
dataset.
Since you have a list of file names and a corresponding list of DataFrames, you can determine that the planes
dataset is the third element in dfs
.
Recall that you can call .value_counts()
method to get a frequency count of the unique values in a column,
and use .loc
accessor to use boolean subsetting to filter the data.
When combining multiple boolean expressions, the &
and |
operators stand for 'and', and 'or', respectively.
Also, remember the boolean expressions need to be wrapped around a pair of parentheses.
This exercise is part of the course
Python for R Users
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Get the planes DataFrame
planes = dfs[____]