Editing Data Into Insights (Spring 2021)/Final project (section)

== Step 1: Identify a dataset ==

You all have different interests and I want you to be able to tell a story about something that interests you. So, the first step is to '''identify a dataset that you want to work on and to brainstorm at least three questions that you would like to explore''' in the dataset.

I strongly recommend that you find a dataset that is already organized and fairly well-cleaned. In other words, I don't recommend doing something that will require merging data from multiple datasets, gathering data from APIs, etc. (although talk to me if you have a great idea that you think you can pull off!). In general, you should be looking for data that's in CSV format (there are some even better formats like `.feather` or `.RData` but CSV is usually as good as it gets).

=== Datasets ===

There are lots of places to find data. Here are a few lists but feel free to identify your own:

* [https://datavizm20.classes.andrewheiss.com/resource/data/ Andrew Heiss's list of lists of data]
* [https://data.indy.gov/datasets/be9ec4331d0242c6994a256073be772f_16/data Indianapolis Police Use of Force data]
* [https://www.gapminder.org/data/ Gapminder world development data]
* [http://www.gss.norc.org/get-the-data General Social Survey data]
* [https://www.pewresearch.org/download-datasets/ Pew Research Center data]
* [https://www.kaggle.com/datasets Kaggle Datasets]

Due date: March 23