A brief tutorial on how you can create SQL tables directly from R to make querying based on a list of IDs a simpler process

This post briefly discusses the background of peer-to-peer lending before diving into some exploratory data analysis on the Lending Club data set. This will be the first in a series of posts with the aim of creating a predictive model to determine the probability of default for peer-to-peer loans.

Examining the history of the U.S. Treasury yield curve from 1982 through 2014 through R plotting. This post offered me a good opportunity to experiment with R plotting and graphical parameters.

In this post I will discuss the background for the percolation visualization page and the details of my implementation. I hope to provide a good introduction to percolation theory and the union find algorithm in particular. This is the first non-trivial Javascript application I've created, and later in the post I will discuss some of the biggest challenges I faced and things I learned along the way.