ajschumacher

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.

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.

ajschumacher

#!/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(" "))

ajschumacher

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])