Ilan Man ilanman

This gist has the code to visually display the results of a binary classifier on tennis statistics, using an interactive ROC curve.

This is a choropleth of Medicare payments by state, using the data recently released by the Center for Medicare and Medicaid Services. I used a kmeans algorithm to determine that 3 clusters explains roughly 90% of the variation in the data.

	(function() {

	// Inspired by http://informationandvisualization.de/blog/box-plot
	d3.box = function() {
	var width = 1,
	height = 1,
	duration = 0,
	domain = null,
	value = Number,
	whiskers = boxWhiskers,

	library(ggplot2)
	library(scales)
	library(reshape)

	## Get the data from here: https://archive.ics.uci.edu/ml/machine-learning-databases/00275/
	data <- read.csv('day.csv')

	data$workingday <- as.factor(data$workingday)
	data$weathersit <- as.factor(data$weathersit)
	data$weekday <- as.factor(data$weekday)