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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.

3/4/2020
2 pm – 4 pm
Jones Media Center - Innovation Studio (Berry Library Second Floor)
Intended Audience(s): Faculty, Postdoc, Public, Staff, Students-Graduate
Categories: Workshops & Training
Registration required.

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.

 

For more information, contact:
Jianjun Hua
jianjun.hua@dartmouth.edu
Permanent URL to this event: https://students.dartmouth.edu/ugar/events/event?event=60213

Events are free and open to the public unless otherwise noted.