This links to my repository of `#TidyTuesday` submissions. This is a series of notebooks and scripts that analyze a different dataset each week where I experiment with various modeling and data visualization techniques.

A simple statistical solution to this Riddler accompanied by descriptive simulations.

I present a breif take on Dr. Silge's Uncanny X-Men analysis using Bayesian methods.

Using simulation in R to solve this directionally-discombobulating puzzle.

How I used graph theory in R to solve a mathematical corn maze.

I used simulations in R to solve this Riddler about how long it takes for confuded ducks to find each other in a pond.

I used simulation with to approximate the solution an older Riddler. I used an gradient descent-like method to gradually narrow in on a precise estimate.

I used graphs to solve this weeks Riddler to find the difference in shortest paths resulting from a change to the sidewalk layout of Riddler City.

This puzzle was to find the shortest paths of two indivduals sharing a sidewalk while obsering the COVID-19 6-foot social distancing guideline. I simulated the scenario in R and plotted the travels of the individuals using 'gganimate'.

For this week's Riddler, we were asked to solve the 3D structure given a series of cross-sections. I used R to reconstruct this structure and presented it as an interactive plot.

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