---
# System prepended metadata

title: Lecture 5 - Assignment
tags: [Data Science, CS Scholars, Carnegie Mellon University, Summer 2023, SAMS]

---

<img src="https://i.imgur.com/OhTn0sc.png" width="50%" /><br>

July 17, 2023

<img src="https://media0.giphy.com/media/3ov9jNziFTMfzSumAw/giphy.gif" />

Remember that assignments are *not graded*. Please follow the instructions below.

# Exercise 1
Read the document named `
Data usage report NIH DRAFT [20190816].pdf`. This document is a rough draft from a set of visualizations done for the National Institute of Health.

Can we built similar plots with the data we have collected so far? 

* If so, then how would you build the plots?
* If not, then how close can we get to building similar plots?

Discuss in groups and propose a procedure to build the plot. 

Don't think of code, think of what columns can used, what values, etc. We can code later.

# Exercise 2
Check the `Project Outline` document and start building the `Presentation Outline`.

We should be able to build a set of about 10 slides to start practicing for the final presentation.

# Exercise 3
Continue working with the pull requests and the updates I asked you to work on.

# Exercise 4
Let's start building learning outcomes what we have done so far. If we write/outline them, then this will help us build the presentation and do a sanity check of where we are.
