R Data Wrangling and Manipulation: Parts 1-2

November 1, 2022, 2:00pm to November 3, 2022, 5:00pm

To receive a Zoom link after registering above, please fill out the affiliations form if you have not done so at least once before: https://dlab.berkeley.edu/affiliations

Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), UCSF, CZ Biohub, or other organizations, please register via our partner portals here.

Location: Remote via Zoom. Link will be sent on the morning of the event.

Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.

Date & Time: This workshop is a 2-part series running from
2pm-5pm each day:

  • Part 1: Tuesday, November 1
  • Part 2: Thursday, November 3

Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.

Description

It is said that 80% of data analysis is spent on the process of cleaning and preparing the data for exploration, visualization, and analysis. This R workshop will introduce the dplyr and tidyr packages to make data wrangling and manipulation easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful tasks.

Prerequisites: D-Lab’s R Fundamentals or equivalent knowledge; previous experience with base R is assumed.

Workshop Materials: https://github.com/dlab-berkeley/R-wrang

Software Requirements:Installation Instructions for R and RStudio

Is RStudio Not working on your laptop?Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation.

Feedback: After completing the workshop, please provide us feedback using this form

Questions? Email: dlab-frontdesk@berkeley.edu