avatar Bite 130. Analyze some basic Car Data

In this exercise you will analyze some basic car data. Here is the (fake) JSON data we created with Mockeroo - snippet below / full output here:

  [{"id":1,"automaker":"Dodge","model":"Ram Van 1500","year":1999},
   {"id":2,"automaker":"Chrysler","model":"Town & Country","year":2002},
   {"id":3,"automaker":"Porsche","model":"Cayenne","year":2008},
   ... 997 car entries more ...
  ]

First you will write most_prolific_automaker to find out which automaker produces the most new models for a particular year.

Secondly you will write get_models which filters the data set down to car models produced by a particular automaker and year (as passed into the function).

To keep it a Beginner Bite we'll pause here, but if you like this data set, let us know and we make a follow-up Bite, maybe we can add some financial data :)

Check out the docstrings and pytests and give it a shot. Good luck and keep calm keep and code in Python.

Login and get coding
go back Beginner level
Bitecoin 2X

644 out of 648 users completed this Bite.
Will you be Pythonista #645 to crack this Bite?
Resolution time: ~49 min. (avg. submissions of 5-240 min.)
Pythonistas rate this Bite 3.94 on a 1-10 difficulty scale.
» You can do it! 😌

Focus on this Bite hiding sidebars, turn on Focus Mode.

Ask for Help