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R for data science: getting started, EDA, data wrangling

R for data science: getting started, EDA, data wrangling

[In-person] Part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you’ll learn the fundamentals of R, everything you need to know to quickly get started. You’ll learn how to access and install RStudio, how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA).

Part 1 has no prerequisites and no prior experience is necessary. By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques. 

This workshop will be held in person in Bostock 127 (The Edge Workshop Room), but may move to virtual depending on Duke Coronavirus policies, health or equipment considerations. Please watch your email for updates. All participants are required to follow current Duke Coronavirus policies to attend the workshop.

The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at anytime prior to the conclusion of the workshop.

Data Science

Date:
Friday, September 24, 2021
Time:
2:00pm - 4:00pm
Location:
Bostock 127 (The Edge Workshop Room)
Campus:
West Campus
Categories:
Data and Visualization  
Registration has closed.

Event Organizer

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John Little
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Center for Data and Visualization Sciences