Getting to Know Markdown

df <- read.csv('dat/classProfiles.csv')
boxplot(df, col = "red")

Knit early and often!!

Save your file somewhere where you can find it in a reasonably tidy folder structure!

1. Read in the dataset class.csv and generate a boxplot showing the distribution of each of the skills. Edit one or more of the visual aspects of this plot (Ex: change the color, add a title, change the ylim, add the outliers, make the x-axis labels vertical for a challenge in base R.)

2. Write at minimum two paragraphs about your goals for the class and for your work in data science more broadly. (No more than a page please.) This can be an elaboration on one element of the skills listed above. Tell me the story of how you came to be a fledgling data scientist. What made you sign up for this course? What brought you to Baylor?

3. Format your paragraphs with some markdown. For full credit you must use at least five of the following formatting elements:

• An ordered list
• An unordered list
• A math formula
• Bold/underlined/italicized text
• An embedded link
• A block quote
• Sections and subsections
• A table of contents.

Feel free to be creative with this! For example: block quote your personal manifesto, give me an ordered list of ideal elements of the perfect coding environment!

4. (Optional but fun) Alter the theme in your YAML heading with Bootswatch https://bookdown.org/yihui/rmarkdown/html-document.html#appearance-and-style

5. Knit to HTML and if you like, upload the folder with your files to Netlify Drop to publish to the web

6. Knit to PDF and submit to Canvas

About me

1. Coming into