R for Data Science: Exploratory Data Analysis

Continue on the journey to Data Science by learning how to conduct exploratory data analysis (EDA) in R.

March 4, 2020
2 pm - 4 pm
Location
Jones Media Center - Innovation Studio (Berry Library Second Floor)
Sponsored by
Information Technology Services
Audience
Faculty, Postdoc, Public, Staff, Students-Graduate
Registration required
More information
Jianjun Hua

At this workshop, you’ll learn about exploratory data analysis (EDA), which is essential to understand your data. EDA is typically done using numerical and graphical methods. John Tukey (Tukey, 1977) advocated the practice of exploratory data analysis (EDA) as a critical part of the scientific process. You will learn how to use the "tidyverse" packages, a collection of R packages designed for data science, to conduct EDA.This is a suitable training session for people who already have some experience in R but are interested in learning more to perform data analysis. Please register here.

 

Location
Jones Media Center - Innovation Studio (Berry Library Second Floor)
Sponsored by
Information Technology Services
Audience
Faculty, Postdoc, Public, Staff, Students-Graduate
Registration required
More information
Jianjun Hua