Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Montreal R Users Data Dive - Bike accidents
Search
Corey Chivers
April 03, 2013
0
120
Montreal R Users Data Dive - Bike accidents
Corey Chivers
April 03, 2013
Tweet
Share
More Decks by Corey Chivers
See All by Corey Chivers
Germination Project Data Science at Penn Medicine
cjbayesian
1
310
From Predictions to Decisions
cjbayesian
1
590
NIPS 2017 Summary
cjbayesian
1
1.6k
Validation des prévisions écologiques utilisant VMAPP: Validation métrique appliquée à des prévisions probabilistes
cjbayesian
1
140
From Whale Calls to Dark Matter - Competetive Data Science with R and Python
cjbayesian
0
1.4k
Introduction to Likelihood-based methods
cjbayesian
1
790
Implications of uncertainty: Bayesian modelling of aquatic invasive species spread
cjbayesian
0
370
Future Avenues for Open Data
cjbayesian
0
230
Introduction to Simulation using R
cjbayesian
2
8.3k
Featured
See All Featured
Raft: Consensus for Rubyists
vanstee
140
7.2k
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
Fireside Chat
paigeccino
41
3.7k
GitHub's CSS Performance
jonrohan
1032
470k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
132
19k
How To Stay Up To Date on Web Technology
chriscoyier
791
250k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
15k
Statistics for Hackers
jakevdp
799
220k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
127
54k
Context Engineering - Making Every Token Count
addyosmani
8
300
Building a Scalable Design System with Sketch
lauravandoore
463
33k
Transcript
Welcome to the Data Dive! Sponsored By:
Cycling Collisions • All accidents in Montreal reported 2006-2010 •
Obtained and compiled by Roberta Rocha at the Gazette https://github.com/cjbayesian/collisions
• Can we predict accident rates? • Spatial patterns? Dangerous
areas? • Does the construction holiday have an effect on accident rates? Some potential questions
Getting Started library(lubridate) library(maptools) library(Hmisc) d<-read.csv('data/Bike Accidents.csv',sep='|') mtl<-readShapePoly('data/montreal_borough_borders.shp') par(bg='black') plot(mtl,col='grey')
points(d$long,d$lat,col='red',pch=20,cex=0.5) https://github.com/cjbayesian/collisions http://youtu.be/hJE2_XMdfTk
• Can we predict accident rates? • Spatial patterns? Dangerous
areas? • Does the construction holiday have an effect on accident rates? Some potential questions