# Activity E Description

This activity explores presenting data. The setup:

This is an epistemological exercise. In it, you will be playing the part of a statistician and researcher hired to dig into a particular phenomenon and report back your hard data and findings to a group of non-statistically-minded stakeholders. In short, you need to present your data to people that don’t understand statistics.

For this, we’ll be using the built-in data sets inside R. You can also get information on them inside RStudio by using the library(help = "datasets") console command.

Choose a dataset that interests you (this is different from the final project dataset, which should be an outside dataset) and begin analyzing it. Your job is to pick it apart, explore it, find interesting and/or curious relationships among the data. Did you choose mtcars and notice the relationship between horsepower and mpg isn’t linear? What does that tell you? What information could you give to your stakeholders (your “audience”) about this? Why is it important?

You won’t be creating an actual presentation like for the final project but you will be creating a report with at least 5 different tables and figures and well-written narrative accompanying each explaining why you’re sharing that data and what it tells you. The tables and figures can be technical but your narrative should be written clearly, simply, and be understandable by the layperson.

Use an RMarkdown file for this assignment as your stakeholders are requiring a PDF. This is an opportunity for you to not only demonstrate how the appearance of data presentation impacts its reception but to impress your stakeholders with your knowledge. Well formatted, appropriately styled and colored tables and figures go a long way toward this. As a PDF is required you won’t be able to create any interactive HTMLwidgets and must stick to rendered tables and figures.