Exploratory Data Analysis in R
Overview:ÌýExploratory Data Analysis (EDA) is used to perform initial analysis of your data in order to 'get a feel' for the variables involved and whether your data entails certain patterns.
At the end of this workshop, you will be able to
ÌýÌýÌýÌý > use different visualization tools to analyze distributions and correlations
ÌýÌýÌýÌý > know and apply different ways to treat missing data
ÌýÌýÌýÌý > apply classification and standardization methods
Prerequisites:
ÌýÌýÌýÌýÌý · Introductory knowledge of R, e.g. from 91µ¼º½ÊÓÆµ'sÌýR summer camp,Ìýor from ourÌýIntroduction to programming with RÌýworkshop.
ÌýÌýÌýÌýÌý · You need to bring your own laptop for this workshop. Install R and RStudio on your computer. You can find installation instructionsÌýhere. Please contact us (cdsi.science at mcgill.ca) if you are having trouble with installation.
±·´Ç³Ù±ð:Ìýif you would like to attend this workshop, but are unable to bring your own laptop, please contact us atÌýcdsi.science [at] mcgill.ca .Ìý
Instructor:Ìý, PhD student, Dept. of Biology, Faculty of Science, 91µ¼º½ÊÓÆµ.
Registration: