Exercises.ipynb

Kernel: Python [default]

MPG Cars

Introduction:

The following exercise utilizes data from UC Irvine Machine Learning Repository

Step 1. Import the necessary libraries

Step 2. Import the first dataset cars1 and cars2.

Step 3. Assign each to a variable called cars1 and cars2

Step 4. Oops, it seems our first dataset has some unnamed blank columns, fix cars1

Step 5. What is the number of observations in each dataset?

Step 6. Join cars1 and cars2 into a single DataFrame called cars

Step 7. Oops, there is a column missing, called owners. Create a random number Series from 15,000 to 73,000.

Step 8. Add the column owners to cars