Description

The useR2013 conference is organizing a data analysis contest, check the rules here.

They have a package called useR2013DAC with two data sets: one from La Liga and the other one from the Formula 1. Once you download and install the package (available here), you can quickly explore the data using the following R commands:

Data exploration

## Load the package
library(useR2013DAC)

## Explore laliga data
data(laliga)
head(laliga)

##    Season Week               HomeTeam                    AwayTeam
## 1 2008/09    1   Athletic Club Bilbao     Union Deportiva Almeria
## 2 2008/09    1        Atlético Madrid                   Málaga CF
## 3 2008/09    1          Betis Sevilla Real Club Recreativo Huelva
## 4 2008/09    1             CA Osasuna               Villarreal CF
## 5 2008/09    1            CD Numancia                FC Barcelona
## 6 2008/09    1 Deportivo de La Coruña              Real Madrid CF
##   HomeGoals AwayGoals
## 1         1         3
## 2         4         0
## 3         0         1
## 4         1         1
## 5         1         0
## 6         2         1

summary(laliga)

##     Season               Week        HomeTeam           AwayTeam        
##  Length:1900        Min.   : 1.0   Length:1900        Length:1900       
##  Class :character   1st Qu.:10.0   Class :character   Class :character  
##  Mode  :character   Median :19.5   Mode  :character   Mode  :character  
##                     Mean   :19.5                                        
##                     3rd Qu.:29.0                                        
##                     Max.   :38.0                                        
##                                                                         
##    HomeGoals      AwayGoals   
##  Min.   :0.00   Min.   :0.00  
##  1st Qu.:1.00   1st Qu.:0.00  
##  Median :1.00   Median :1.00  
##  Mean   :1.65   Mean   :1.14  
##  3rd Qu.:2.00   3rd Qu.:2.00  
##  Max.   :8.00   Max.   :8.00  
##  NA's   :50     NA's   :50

lapply(laliga, class)

## $Season
## [1] "character"
## 
## $Week
## [1] "integer"
## 
## $HomeTeam
## [1] "character"
## 
## $AwayTeam
## [1] "character"
## 
## $HomeGoals
## [1] "integer"
## 
## $AwayGoals
## [1] "integer"

## Explore formula1 data
data(formula1)
head(formula1)

##   Pos No             Driver             Team Laps        Time Grid Pts
## 1   1  8    Fernando Alonso          Ferrari   49 1:39:20.396    3  25
## 2   2  7       Felipe Massa          Ferrari   49  +16.0 secs    2  18
## 3   3  2     Lewis Hamilton McLaren-Mercedes   49  +23.1 secs    4  15
## 4   4  5   Sebastian Vettel      RBR-Renault   49  +38.7 secs    1  12
## 5   5  4       Nico Rosberg      Mercedes GP   49  +40.2 secs    5  10
## 6   6  3 Michael Schumacher      Mercedes GP   49  +44.1 secs    7   8
##                                         Race Season
## 1 2010 FORMULA 1 GULF AIR BAHRAIN GRAND PRIX   2010
## 2 2010 FORMULA 1 GULF AIR BAHRAIN GRAND PRIX   2010
## 3 2010 FORMULA 1 GULF AIR BAHRAIN GRAND PRIX   2010
## 4 2010 FORMULA 1 GULF AIR BAHRAIN GRAND PRIX   2010
## 5 2010 FORMULA 1 GULF AIR BAHRAIN GRAND PRIX   2010
## 6 2010 FORMULA 1 GULF AIR BAHRAIN GRAND PRIX   2010

summary(formula1)

##       Pos            No                     Driver    
##  Ret    :254   1      :  58   Felipe Massa     :  58  
##  1      : 58   10     :  58   Fernando Alonso  :  58  
##  10     : 58   11     :  58   Heikki Kovalainen:  58  
##  11     : 58   12     :  58   Jenson Button    :  58  
##  12     : 58   14     :  58   Kamui Kobayashi  :  58  
##  13     : 58   15     :  58   Lewis Hamilton   :  58  
##  (Other):848   (Other):1044   (Other)          :1044  
##                    Team          Laps             Time          Grid     
##  Ferrari             :116   55     :125   +1 Lap    :268   1      :  58  
##  Force India-Mercedes:116   56     :121   +2 Laps   :102   10     :  58  
##  HRT-Cosworth        :116   53     : 92   Accident  : 93   11     :  58  
##  McLaren-Mercedes    :116   57     : 80   +3 Laps   : 41   12     :  58  
##  STR-Ferrari         :116   70     : 75   Hydraulics: 26   13     :  58  
##  Lotus-Renault       : 78   52     : 69   Gearbox   : 24   14     :  58  
##  (Other)             :734   (Other):830   (Other)   :838   (Other):1044  
##       Pts          Race               Season    
##         :812   Length:1392        Min.   :2010  
##  1      : 58   Class :character   1st Qu.:2010  
##  10     : 58   Mode  :character   Median :2011  
##  12     : 58                      Mean   :2011  
##  15     : 58                      3rd Qu.:2012  
##  18     : 58                      Max.   :2012  
##  (Other):290

lapply(formula1, class)

## $Pos
## [1] "factor"
## 
## $No
## [1] "factor"
## 
## $Driver
## [1] "factor"
## 
## $Team
## [1] "factor"
## 
## $Laps
## [1] "factor"
## 
## $Time
## [1] "factor"
## 
## $Grid
## [1] "factor"
## 
## $Pts
## [1] "factor"
## 
## $Race
## [1] "character"
## 
## $Season
## [1] "numeric"

I don’t see a specific question that they want you to answer with this data, but if you find one related to data analysis or visualization then join the competition!

Note that you must be attending the conference in order to be eligible to compete.

Reproducibility

sessionInfo()

## R version 3.0.0 (2013-04-03)
## Platform: x86_64-apple-darwin10.8.0 (64-bit)
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] useR2013DAC_0.1-1 knitr_1.2        
## 
## loaded via a namespace (and not attached):
## [1] digest_0.6.3   evaluate_0.4.3 formatR_0.7    stringr_0.6.2 
## [5] tools_3.0.0