Category 1: A bit about me…

My Hobbies to a T: Tennis and Travel

I’m the type of person that will pick up a new hobby for a couple weeks, get bored, and forget about it. But there are a few that I’ve stuck with over the years. One of them is playing tennis! The Australian Open just wrapped up and fun fact: I was able to attend the tournament with my dad back in January of 2020. That was the last place I traveled before COVID shut down the world :(. Speaking of travel, that is another hobby of mine. This time last year, I was actually studying abroad in London. It was an amazing experience that I wouldn’t change for the world.

My favorite movie

One of my favorite movies is The Sound of Music. It’s one of the first movies I remember ever seeing because my grandma would put it on when I was younger and we would sing Do-Re-Mi together. I recently rewatched it and, upon finishing, I immediately restarted it. Something I failed to appreciate as a child was how beautiful the setting was. The movie was filmed in Salzburg, Austria and the scene of Julie Andrews singing in the mountains hills was filmed using a helicopter that was circling her. The movie as a whole is just a classic. The songs are super catchy, the scenes are aesthetically pleasing and it’s set against the historical backdrop of WWII. It’s a movie I will always go back to for familiar comfort.

Category 2: Lists and Tables

Classes I’m taking this semester

  • DSCI 101 - Fundamentals of Modern Data Science with R
  • STAT 308 - Applied Regression Analysis
  • MATH 215 - Object-Oriented Programming with Mathematics
  • COMP 363 -Design & Analysis Computer Algorithms
  • COMP 335 - Formal Methods in Software Engineering
  • COMP 379 - Machine Learning

My top 5 favorite fruits

  1. Lychee
  2. Mango
  3. Pineapple
  4. Banana
  5. Strawberry

Table of Caffeine Amount in Drinks

This table shows the amount of caffeine (in milligrams) present in various Dunkin’ or Starbucks drinks, in descending order.

Drink Name Serving size Caffeine (mg)
Starbucks Coffee, Pike Place Roast 20 oz. venti 410
Starbucks Coffee, Blonde Roast 16 oz. grande 360
Starbucks Coffee, Pike Place Roast 16 oz. grande 310
Dunkin’ Coffee 20 oz. large 270
Starbucks Coffee, Dark Roast 16 oz. grande 260
Starbucks Caffe Americano 16 oz. grande 225
Dunkin’ Coffee 14 oz. medium 210
Starbucks Caffe Mocha–hot or iced 16 oz. grande 175
Dunkin’–Latte or Cappuccino 14 oz. medium 166
Starbucks Espresso 1.5 oz. doppio 150
Starbucks–Caffe Latte or Cappuccino 16 oz. grande 150
Starbucks Chai Latte–hot or iced 16 oz. grande 95
Starbucks Coffee Frappuccino 16 oz. grande 95
Starbucks Matcha Green Tea Latte–hot or iced 16 oz. grande 80
Starbucks Decaf Coffee, Pike Place Roast 16 oz. grande 25

Table Source: Center for Science in the Public Interest

Codes

Operations on vectors

The upcoming code defines two vectors, v1 and v2. The first operation multiplies v1 by v2. The second operation adds 5 to each element in v1. The third operation subtracts v1 from v2.

v1 <- c(2,3,4,5)
v2 <- c(25)
v1 * v2
## [1]  50  75 100 125
v1 + 5
## [1]  7  8  9 10
v2 - v1
## [1] 23 22 21 20

Eval = FALSE

When eval = FALSE, the result of each operation is not printed out, just the operation.

v1 <- c(2,3,4,5)
v2 <- c(25)
v1 * v2
v1 + 5
v2 - v1

Echo = FALSE

When echo = FALSE, the operation is not printed out, just the results.

## [1]  50  75 100 125
## [1]  7  8  9 10
## [1] 23 22 21 20