Hadley Wickham Lecture (Joint Event)

Please Note The Change Of Venue

This event is a joint event with the Dublin Data Visualization Group and the CeADAR Data Analytics Group.

RSVPs may also be made by email to [masked]

Please confirm your presence on arrival by signing in. Any unclaimed seats will be reallocated as 19:05.

The talk is expected to start at 19:10

Abstract:

Hadley Wickham is an Assistant Professor and the Dobelman Family Junior Chair in Statistics at Rice University.

He is an active member of the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualisation.

His research focusses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualisation to better understand data and models.

 

BigR data

R has a notorious reputation for not being able to deal with "big"
data (and ggplot2 and plyr are frequent culprits). Fortunately, this
isn't an underlying problem with R, and it's something that we can fix
with good programming practices and intelligent use of compiled code.
In this talk, I'll introduce two new packages, bigvis and dplyr, that
aim to make it easier (and faster) to work with much larger datasets.

BigVis
Bigvis makes it possible to visualise[masked] million observations in
just a few seconds. It is built around a pipeline of group, summarise,
smooth and visualise, and makes minimal sacrifices of flexibility to
achieve fast performance. As well as discussing the visualisation
challenges when you have 10s of millions of observations, I'll also
discuss the performance challenges, and how C++ and Rcpp make it
pleasurable to integrate compiled code into R.

Dplyr
Dplyr is an iteration of plyr that focusses on the tools people use
most frequently (ddply, dlply and ldply), speed and on flexible data
stores, so that you can use the same code regardless of whether you
data is in a data frame, data table, or data base. I'll talk a little
about how easy it is to compile simple R expressions into SQL, and on
integrating R into a workflow when your complete dataset can't fit
into memory, or even on the hard drive of a single machine.

Join or login to comment.

  • A former member
    A former member

    really good talk, i've never had anything to do with R before, but i'm considering switching from matlab.

    June 25, 2013

  • Conor D.

    Very informative and fascinating lecture from Hadley. Thank you to Kevin and the organisers for making it happen. I enjoyed the airline data examples; how to manipulate the data, interpret data and create insights with data frames/packages. I also gained a better understanding of the logic and reasoning behind R.

    June 25, 2013

  • Patrick D.

    Many thanks to Hadley for giving his personal time to present such an engaging talk. The big data packages are certainly coming together to form a coherent work-flow around huge databases using R. I thought the flight data, easily grasped by all I'd say, was great for demonstrating the power of the big data packages. Also, the accomodation of data.table, return of SQL code,... just some of the nice things in these packages. But their ease of use and time-saving I'm sure will make these very popular for big data.

    June 25, 2013

  • Joe W.

    really useful to see the thinking behind packages bigvis and dplyr as they develop. thanks to Hadley for his talk and Kevin and Patrick for organising.

    June 25, 2013

  • Eoin

    Really great talk and fantastic speaker. A big thanks to Kevin and all the groups who made it happen last night.

    June 25, 2013

  • Colman M.

    Kevin,
    A big thanks for pulling the session together last night. Quite a coup. It was great to hear Hadley discuss his work in person. Also, great to see such a massive R turn out.
    Well done to all!

    1 · June 25, 2013

  • Treasa L.

    I got stuck in work :-(

    June 25, 2013

  • Frank K.

    class

    1 · June 25, 2013

  • Ken B.

    interesting session and very informative, especially the limitations of data.frame against data,table.Looking forward to delving into packages discussed

    2 · June 25, 2013

  • Jakub J.

    Excellent presentation!

    3 · June 25, 2013

  • Jon Y.

    Really enjoyed the talk. Engaging, informative and cutting edge. Thanks to Hadley and the organisers.

    2 · June 24, 2013

  • Mick C.

    Excellent talk, and his presentation style showed this wasn't his first rodeo. :)

    We really appreciate him taking the time to talk to us.

    2 · June 24, 2013

  • Brendan M.

    It is a joy to watch a true professional demonstrate his metier

    June 24, 2013

  • Kevin O.

    All - registration by this list is about to be closed. RSVPs can still be made by emailing [masked]

    June 24, 2013

  • Antonio B.

    very interesting!!

    June 23, 2013

  • Jakub J.

    +1 guest

    June 19, 2013

  • Paul N.

    ICHEC

    June 19, 2013

  • Julie Z.

    I'm a student studying Analytics in Smurfit School. I would like to attend this event.

    June 19, 2013

  • Brian W.

    A strong supporter of Hadley and his work.

    2 · June 16, 2013

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