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:

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!

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

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

  3. Knit to PDF and submit to Canvas

About me!

  1. Coming into Baylor I knew I wanted to study something software engineering related. After taking coding classes in high school I found an interest in ML/AI and researched what the best major/program was in order to get a job in the field. My goal for this class is to gain a further understanding of Data Science and grow my knowledge of R.

  2. From what I learn from this class I would love to translate into working in research at Baylor during my time in undergrad and possibly pass graduate school. I hope to learn more about the overall field of data science and more possible routes/fields that I can go into in my career later on, after college.

My ideal coding enviroment:

My favorite equation: The Pythagorean Theorem

This equation is commonly used in math and I first discovered it many years ago when taking my first math courses and it will forever hold an important place in my brain.

\[ a^2 + b^2 = c^2 \]

I am a big basketball fan and I found a pretty funny quote regarding the theorem:

“There is no answer to the Pythagorean theorem. Well, there is an answer, but by the time you figure it out, I got 40 points, 10 rebounds and then we’re planning for the parade.” - Shaquille O’Neal