Designing Ethical AI for All
Exploratory Data Analysis in R
![CDSI workshops logo](/cdsi/files/cdsi/styles/fullwidth_breakpoints_theme_moriarty_small_1x/public/cdsi_workshops_jura.png?itok=b3VeG_Cj×tamp=1672799787)
Date: Friday, 28 October, 2022.
Time: 9:30 a.m. to 11:30 a.m.
Location: Hybrid; in person at room 1104 (11th floor) and online via zoom
Instructor: Dr. Tim Elrick, Faculty Lecturer in the Faculty of Science.
Ìý
Overview:
Exploratory 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
ÌýÌýÌýÌý > apply different pattern discovery tools (projection/dimensionality reduction and clustering)
Prerequisites:
ÌýÌýÌýÌýÌý · Introductory knowledge of R, e.g. from º«¹úÂãÎè's R summer camp, or from our Introduction to programming with R workshop.
Ìý