The Rise and Rise of Graphic Expectations
Abstract: \;It was once the case that a simple table wa
s sufficient for displaying information but the expectations for graphics
we see and produce has grown rapidly. We are all used to seeing highly cus
tomised interactive graphics on a daily basis but how can we use these too
ls effectively for our own exploratory analysis and reporting? In this tal
k we will look at how expectations have increased and how we can effective
ly use tools available to us for presenting information.
Aimee Gott (Mango Solutions)
Interactive Statistical Graphics: When charts come to life
Abstract: \;There is a comprehensive suite of univariate and multivariate statistical graphics\, covering data on categorical\, continuous and mixed scales. Whereas many of these graph ics are widely known and used for diagnostics and presentation of models a nd raw data (cf. the popular R package ggplot2)\, adding interactive featu res may make these graphics to versatile tools in exploratory data analysi s.
The most common interactive feature is the selection of subsets of data to focus on "what's interesting". Linked highlighting throughout a ll linked graphs of the same data can highlight these features in even mor e dimensions. Linked-highlighting can efficiently be used to compare subgr oups within a dataset\, or to investigate the conditional distribution of subgroups. Further interactions include the instant change of plot paramet ers and plot scales\, as well as the flexible incorporation of statistical information into standard statistical graphics.
This talk illustr ates the various interaction techniques and how these techniques facilitat e the analysis of data with purely graphical means. Most of these techniqu es are demonstrated within the graphical data analysis software Mondrian ( http://www.theusRus.de/Mondrian< /a>)
Martin Theus (Telefonica Germany< /strong>)
Every Picture Tells a Stor y: Using many graphics at once
Abstract:& nbsp\;People are very skilled at scanning large amounts of information and picking out the bits that are important to them&mdash\;when they are expe rienced in doing this. \; It is now easy to draw many informative grap hics quickly and flexibly\, but typically people don&rsquo\;t. \; \; They tend to draw individual graphics and use them more for presenting information than for gaining information. \; This talk discusses using collections of graphics to find information and to generate ideas to be m odelled and tested. \; Several applied examples will be presented and audience participation in evaluating the graphics and the graphical analys es will be welcome.
Antony Unwin (University of Ausburg)
Using Graphics to Present the Study Results as a Story
Abstract: \;Too often we watch presentations of the final results of a st udy that has just been reported and think of how it can be more interestin g. We are told that we need to see the numbers\, the tables\, the figures\ , so that we know the result of the study. However\, when we sit and liste n to the results of a study\, what we are really after is a story. We want the data to be converted to knowledge\, something we can walk away with. We don&rsquo\;t walk away with tables\, and numbers\, but we do remember a story told by a good story teller\, with all the pictures to visualise wh at had happened in the study. This presentation will show how we can use g raphics to tell a story\, converting Data to Knowledge the audience of any presentation can walk away with.
Shafi Chowdhury (Shafi Co
nsultancy)
Graphical Ana lysis for Epidemiology\, Manufacturing and Marketing Applications
Abstract: \;Much attention is given to graphi cs for analysis and reporting in R&\;D. In this paper\, I provide a rev iew of graphics used in the other functional areas including sales\, marke ting and manufacturing. Examples are drawn from the life sciences\, retail and consumer packaged goods industries. Graphical methods for exploratory review and publication reporting are referenced.
Michael O &rsquo\;Connell (Tibco)\, \;Andrew Berridge (Tibco)