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
110
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
210
From Predictions to Decisions
cjbayesian
1
520
NIPS 2017 Summary
cjbayesian
1
1.5k
Validation des prévisions écologiques utilisant VMAPP: Validation métrique appliquée à des prévisions probabilistes
cjbayesian
1
110
From Whale Calls to Dark Matter - Competetive Data Science with R and Python
cjbayesian
0
1.4k
Introduction to Likelihood-based methods
cjbayesian
1
610
Implications of uncertainty: Bayesian modelling of aquatic invasive species spread
cjbayesian
0
290
Future Avenues for Open Data
cjbayesian
0
170
Introduction to Simulation using R
cjbayesian
2
8.1k
Featured
See All Featured
We Have a Design System, Now What?
morganepeng
46
7k
Infographics Made Easy
chrislema
238
18k
Into the Great Unknown - MozCon
thekraken
20
1.3k
Mobile First: as difficult as doing things right
swwweet
219
8.8k
KATA
mclloyd
20
13k
Web Components: a chance to create the future
zenorocha
307
41k
Optimising Largest Contentful Paint
csswizardry
18
2.6k
Designing for humans not robots
tammielis
247
25k
Creatively Recalculating Your Daily Design Routine
revolveconf
214
11k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
44
4.7k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
17
1.5k
The Illustrated Children's Guide to Kubernetes
chrisshort
39
47k
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