# Problem set 1

Due by 11:59 PM on Monday, August 31, 2020

## Task 1: Introduce yourself to R, RStudio, and the tidyverse

1. Go the the example page for this week, “Welcome to R, RStudio, and the tidyverse”, and work through the different primers and videos in the four parts of the page.

It seems like there’s a lot on the page, but they’re short and go fairly quickly (especially as you get the hang of the syntax). Also, I have no way of seeing what you do or what you get wrong or right, and that’s totally fine! If you get stuck and want to skip some (or if it gets too easy), go right ahead and skip them!

## Task 2: Make an RStudio Project

1. Use either RStudio.cloud or RStudio on your computer (preferably RStudio on your computer! Follow these instructions to get started!) to create a new RStudio Project.

2. Create a folder named “data” in the project folder you just made.

4. In RStudio, go to “File” > “New File…” > “R Markdown…” and click “OK” in the dialog without changing anything.

5. Delete all the placeholder text in that new file and replace it with this:

---
title: "Problem set 1"
output: html_document
---

{r load-libraries-data, warning=FALSE, message=FALSE}
library(tidyverse)



# Learning R

Tell me that you worked through the primers and videos and examples at the example page for this week:

WRITE SOMETHING HERE LIKE "I did all the primers and had the time of my life!" or whatever.

# My first plots

Insert a chunk below and use it to create a scatterplot (hint: geom_point()) with diplacement (displ) on the x-axis, city MPG (cty) on the y-axis, and with the points colored by drive (drv).

PUT CHUNK HERE

Insert a chunk below and use it to create a histogram (hint: geom_histogram()) with highway MPG (hwy) on the x-axis. Do not include anything on the y-axis (geom_histogram() will do that automatically for you). Choose an appropriate bin width. If you're brave, facet by drive (drv).

PUT CHUNK HERE

# My first data manipulation

Insert a chunk below and use it to calculate the average city MPG (cty) by class of car (class). This won't be a plot---it'll be a table. Hint: use a combination of group_by() and summarize().

PUT CHUNK HERE
6. Save the R Markdown file with some sort of name (without any spaces!)

7. Your project folder should look something like this:

## Task 3: Work with R

1. Remove the text that says “PUT CHUNK HERE” and insert a new R code chunk. Either type ctrl + alt + i on Windows, or + + i on macOS, or use the “Insert Chunk” menu:

2. Follow the instructions for the three chunks of code.

3. Knit your document as a Word file (or PDF if you’re brave and installed LaTeX). Use the “Knit” menu:

4. Upload the knitted document to iCollege.

5. 🎉 Party! 🎉

You’ll be doing this same process for all your future problem sets. Each problem set will involve an R Markdown file. You can either create a new RStudio Project directory for all your work:

Or you can create individual projects for each assignment and project: