Conclusions & Visuals

Draw conclusions and create visuals to communicate results in the Jupyter notebook below! Make sure to address the following questions.

Q1: Are more unique models using alternative fuels in 2018 compared to 2008? By how much?
Q2: How much have vehicle classes improved in fuel economy (increased in mpg)?
Q3: What are the characteristics of SmartWay vehicles? Have they changed over time? (mpg, greenhouse gas)
Q4: What features are associated with better fuel economy (mpg)?

Workspace

This section contains either a workspace (it can be a Jupyter Notebook workspace or an online code editor work space, etc.) and it cannot be automatically downloaded to be generated here. Please access the classroom with your account and manually download the workspace to your local machine. Note that for some courses, Udacity upload the workspace files onto https://github.com/udacity , so you may be able to download them there.

Workspace Information:

Default file path:
Workspace type: jupyter
Opened files (when workspace is loaded): n/a

Last Question!

Q5: For all of the models that were produced in 2008 that are still being produced in 2018, how much has the mpg improved and which vehicle improved the most?

This is a question regarding models that were updated since 2008 and still being produced in 2018. In order to do this, we need a way to compare models that exist in both datasets. To do this, let's first learn about merges.