First off, let's take a second to congratulate you for making it this far! We know we've packed a lot of knowledge into a relatively short time! Kudos for rocking it!

We'd like you to have something tangible to show for having taken this course with us, so let's use your newly acquired Pandas skills to make a data-pulling app!

You are free to make a website about anything you'd like, as long as it meets all the requirements listed below. If you're having trouble coming up with a topic, consider:

• Finding a fun data set and basing it on that.
• Making an app that contrasts data from your hobbies.
• Making something you think would improve your life in some way.

Feel free to share resources and inspiration with your classmates!

You must have a Pandas app in Jupyter Notebooks. You will work individually on this project, but feel free to share inspiration, resources, or cool data sets that you find with your classmates!

Your assignment must include:

1. Data pulled from at least one data set.
   • Get creative! Tons of free data sets exist! Ask your instructor or classmates for ideas.
   • Free Datasets
2. Data displayed in a minimum of two different visualizations.
   • Take care that they're the best choice of visualizations for the data and are easy to comprehend.
3. Cleaning the data — handling of NULL values or other potential errors in the data.
4. Core Python topics. At minimum:
   • Dictionaries or sets or tuples.
   • **args or kwargs or *kwargs.
   • Basic debugging, such as a try-except block (only if necessary).
   • A class.
   • User input or reading from a file.
5. Comments, so another developer can easily see what your app does.

• Begin with the end in mind. Know where you want to go by planning ahead, so you don't waste time building things you don't need.
• Read the docs for whatever technologies or data sets you use. Most of the time, there is a tutorial that you can follow! This isn't always the case, however, learning to read documentation is crucial to your success as a developer.
• Write pseudocode before you write actual code. Thinking through the logic of something helps.

• An extremely helpful debugging flowchart.
• The Python Docs.
• Keyword args.
• args and kwargs.
• chain and Other itertools.
• Sets on a Python Tutorial Website).
• Tuples.

Your project will be evaluated based on the rubric below.

A zero-to-three grading scale may not intuitively make sense, so here is an example using the criteria as if your assignment were to cook a pizza:

The Jupyter Notebook artifact must be uploaded to Github. Share the URL to your github repo so that you can present it to class on June 4th.