### 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