```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = F,
                      cache = T)
```


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<span>Please submit both the .Rmd and a .html file on Canvas.</span>
</div>

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<span>Do not use any packages to do the actual plotting on this assignment (it is okay to use packages as needed for data cleaning and manipulation)<span>
</div>

Your assignment this week is to create data visualizations of your own data using base R plotting functions.

1. First, help me understand these data. In a few sentences, describe the research design, structure of the data, and any quirks you think would be helpful for me to know about.




2. Then, create at least 4 figures that help you understand and visualize your data. Bonus if these figures complement each other to tell a story of your data, but this is not a requirement. You should include code to do the following at least once across your 4+ figures: 

    - At least two of your figures should be a different type (e.g., do not plot 4 scatterplots)
    - Change the default point shape, line type, and/or line width
    - Change the default point, line, bar, etc. color
    - Depict different groups in your data using shape, color, and/or size
    - Include a legend when plotting multiple groups in your data
    - Change the default axes to get them closer to publication quality
    - Create multiple figures in the same window using `par(mfrow = ...)` or `layout()`
    - Add lines to your data using `abline()`, `lines()`, or `matlines()`
    - Change the default plot title and axis titles




