ggCyberpunk

A package that makes it easy to create a cyberpunk themed plot with ggplot2. Comes with geoms and a theme as well as color palettes.

VIZ: Tidy Tuesday

TidyTuesday is a social coding exersise that uses R and the Tidyverse to work with a new data set each week, creating a model or visualization. This is my github Repo where I post my code and my plots.

See Viz

SENIOR PROJECT: CSES ANALYSIS

For my senior capstone, I used data provided by the CSES about elections around the world. Using the module 4 data, I used machine learning and statistical techniques to learn about satistifaction with democracy including Kohonen Networks, logistic regression, decision trees, and random forests.

VIz: UFO SIGHTINGS IN US

In my month of Visulaization, I examined and cleaned a data set from Kaggle about UFO sightings. I cleaned and transformed the data and created an animated gif using gganimate. Doing this I noticed an interesting trend with a spike in sitings

See Viz Code

Bot: Emoji Iowa

Using Google Apps Script, openweather maps API, and the Twitter API I made a twitter bot that tweets once every 6 hours to create a weather map of Iowa expressed with emoji. This was inspired by another twitter account of @EmojiWeatherCA.

See Bot Code

Lights Out

Lights Out is a puzzle-game relased in 1995 as a hand held device. Pressing lights will toggle the lights Use of linear algebra can model the moves and search for a solution When learning a programming language, I often recreate this game I have written a blog post about the math and have a javascript version for demo.

PREDICTING OPS

On Base Percentage is a useful baseball statitsitic to determine the value of a player at bat. Using linear regression and ANOVA I examine how to predict this stat. Initially done in 2017, and revisitied in 2018.

2018 2017

VIS: THE BIG GAME

Using data from Kaggle, I decided to plot the win/loss ratios of each paiting of teams in the Big Game This inteactive plot was created in R with ggplot2 and plotly and was my first forray into interactive plots.

See Viz Code

Baseball Player Classification

Using R, I and a teammate used various classification techniques to predict if a player was an infielder or outfielder based on at-bat stats. Techniques used Classification Trees, Random Forests, and K-means klustering.