Aaron Schumacher ajschumacher

This shows New York City subway usage based on turnstile data. Hovering over a day shows the number of entries through subway turnstiles in that day.

Notice the clear effects of hurricanes Irene and Sandy.

More details and source code available. Visualization based (heavily) on Mike Bostock's excellent example.

This d3.js visualization uses public data from NYC public schools. Original data available largely at http://schools.nyc.gov/Accountability/tools/report/default.htm This is a hacked-together prototype; it does not represent best practices.

oh nothing, nothing...

And now, a wrap-up... in random order!

Mike showed the excellent audioverb for all your language in situ needs - and it even has a youtube explanation too!
Aaron talked about rjstat, his R package for reading and writing the JSON-stat data format.

Time to wrap up the Christmas Invasion and put a bow on it... Here are all the good things we saw, in non-random order!

	import csv

	r = csv.reader(open('train.csv','r'))
	r.next()

	edges = set()
	#commutative_graph = dict()
	for edge in r:
	edges.add((edge[0], edge[1]))
	# commutative_graph.setdefault(edge[0], set()).add(edge[1])

	#!/usr/bin/env python

	import sys
	import csv

	def MeanAveragePrecision(valid_filename, attempt_filename, at=10):
	at = int(at)
	valid = dict()
	for line in csv.DictReader(open(valid_filename,'r')):
	valid.setdefault(line['source_node'],set()).update(line['destination_nodes'].split(" "))

	movie_reviews = dict()
	for line in open('movies.txt.small'):
	pieces = line.split(':')
	if len(pieces) > 1:
	key = pieces[0]
	value = ':'.join(pieces[1:]).strip()
	if key == 'product/productId':
	id = value
	if key == 'review/text':
	movie_reviews.setdefault(id, []).append(value)

	set.seed(54)
	n <- rnorm(3000,0.5,0.1)
	par(mar=c(1,1,3,1))
	hist(c(runif(10000),runif(1900,0.35,0.65),n[abs(n-0.5)<0.15]),
	xlim=c(0,1),ylim=c(0,600),breaks=51,ylab="",#main="",
	main="Statistical Programming DC",col="#C9242D",
	axes=F, cex.main=2)

	test <- data.frame(state=c("Florida", "Virginia", "Texas", "California",
	"Georgia", "North Carolina", "New York",
	"Missouri", "Illinois", "Maryland", "Pennsylvania",
	"Tennessee", "Colorado", "Washington", "Arizona",
	"Ohio", "Wisconsin", "District of Columbia",
	"Michigan", "New Jersey", "Utah", "Louisiana",
	"Minnesota", "Alabama", "Kansas", "Massachusetts",
	"Indiana", "South Carolina", "Arkansas", "Oregon",
	"Nevada", "Kentucky", "Nebraska", "(not set)",
	"Connecticut", "New Mexico", "Oklahoma",