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
130
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
600
NIPS 2017 Summary
cjbayesian
1
1.6k
Validation des prévisions écologiques utilisant VMAPP: Validation métrique appliquée à des prévisions probabilistes
cjbayesian
1
150
From Whale Calls to Dark Matter - Competetive Data Science with R and Python
cjbayesian
0
1.4k
Introduction to Likelihood-based methods
cjbayesian
1
800
Implications of uncertainty: Bayesian modelling of aquatic invasive species spread
cjbayesian
0
370
Future Avenues for Open Data
cjbayesian
0
240
Introduction to Simulation using R
cjbayesian
2
8.3k
Featured
See All Featured
The Illustrated Children's Guide to Kubernetes
chrisshort
51
51k
Speed Design
sergeychernyshev
33
1.3k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
How To Stay Up To Date on Web Technology
chriscoyier
791
250k
Stop Working from a Prison Cell
hatefulcrawdad
273
21k
Product Roadmaps are Hard
iamctodd
PRO
55
12k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
Why You Should Never Use an ORM
jnunemaker
PRO
60
9.6k
GitHub's CSS Performance
jonrohan
1032
470k
[RailsConf 2023] Rails as a piece of cake
palkan
57
6.1k
Leading Effective Engineering Teams in the AI Era
addyosmani
8
1.2k
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