Stranger Strings
Tokenizing and counting Stranger Things dialogue using Julia
MLE Learning Out Loud 2: Logistic Regression
Learning maximum likelihood estimation by fitting logistic regression ‘by hand’ (sort of)
MLE Learning Out Loud
Learning maximum likelihood estimation by fitting models ‘by hand’ (in Julia!)
Modifying the Default Quarto Blog Structure
Changing the pages in a default Quarto blog
Function Writing Metacognition
Metacognition about writing a simple function to convert percentages to strings
2021 Virginia Datathon Recap
Lessons learned and takeaways from the 2021 VA Datathon
Robustly Create Parameterized Reports
Wrapping functions to safeguard against errors
It’s-a Me, Linear Regression
Using feature engineering and linear regression to predict Mario Kart world records
Publishing Rmarkdown to Google Sites
A workaround for people in organizations that use Google Sites
This Code is Big Time
Improving ggplots with Text Color
A walkthrough of how – and when – to replace your legend with colored text
Dungeons and Dragons - Part 4
Predicting monster challenge ratings & examining regression diagnostics
Dungeons and Dragons - Part 3
Grouping D&D monsters using latent profile analysis
Predicting Mobile Phone Subscription Gorwth
Using splines and iteration via map() to fit and interrogate models
Your Mom's House Analysis
Scrantonicity - Part 3
Predicting the speaker of dialogue from The Office
Unconsciousness in the Xmen
Practicing Poisson regression using Xmen data
Writing Window Functions
Examples and tutorial for writing rolling aggregate/window functions
Scrantonicity - Part 2
K means clustering with The Office dialogue
Riddler Express - March 20, 2020
Solving a math puzzle and exploring the accumulate() function
Scratonicity - Part 1
An initial exploration of dialogue from The Office