@falcon1212
Nothing here yet.
Nothing here yet.
May 16, 2021 · 1 min read · Cleaning Column Labels 1. Drop extraneous columns Drop features that aren't consistent (not present in both datasets) or aren't relevant to our questions. Use pandas' drop function. Columns to Drop: From 2008 dataset: 'Stnd', 'Underhood ID', 'FE Cal...
Join discussionMay 16, 2021 · 1 min read · Assessing Data The files all_alpha_08.csv and all_alpha_18.csv discussed in the previous pages have been provided in the workspace for you here to access. Use pandas to explore these datasets in the Jupyter Notebook below to answer the quiz questions...
Join discussionMay 16, 2021 · 1 min read · Fuel Economy Data This information is provided by the U.S. Environmental Protection Agency, Office of Mobile Sources, National Vehicle and Fuel Emissions Laboratory. ^ here
Join discussionMay 16, 2021 · 1 min read · Using Documentation to Understand Data Here are the files you saw in the last video. Use them to help you answer the following questions. README.txt download link PDF link
Join discussionMay 16, 2021 · 1 min read · yt link Data Overview We'll learn more about these features as we go. Right now, we have a good idea of what data we're working with, so let's answer some questions. You'll see quick descriptions of each feature again in the next section to help you....
Join discussion