Tidying Up Messy Data: Hands-on Demos

Hello R-Ladies

Are you an R beginner wanting to learn more about how to tidy up messy data? We covered in our this hands-on workshop!

Bruno Grande (he/him) has been training others in the ways of modern R programming since 2015. With a PhD in bioinformatics, he learned (the hard way) how to leverage the tidyverse toolbox to efficiently transform, analyze, and visualize data ranging from messy to tidy. As a Carpentries- and RStudio-certified trainer, he wishes to empower the next generation of researchers and professionals with the same data science skills that continue to bolster his career. He's currently promoting and implementing best practices in open science as a Bioinformatics Engineer at Sage Bionetworks in Seattle, WA.

Workshop details:
Day and time: Nov 18th, 2020 at 6pm
Webinar link: RSVP to view

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About the workshop:

Do you have a messy dataset you'd like to have Bruno demo in this workshop? If so, we'd like to encourage you to submit your data here:
https://forms.gle/wdz4tDW3xaYfmZH28

Requirements and info for data submission:

• Preferably a data frame, but can be other data formats (e.g. Excel, JSON).
• Compliant with privacy requirements. ( ie No personal IDs, but redacted identifiers are okay)
• Contributors must feel comfortable having their dataset being tidied in front of the workshop audience (and possibly a broader audience on the Internet if the workshop gets recorded).
• Submissions can be anonymous
• Must be submitted by October 31st, 2020.

General workshop information:

-Please expect a hands-on session in a friendly and laid-back atmosphere where we all encouraged to learn together.

• All levels are welcome but be prepared that we created this with beginners in mind. You should be familiar with R and RStudio.
• Install R: https://mirror.its.sfu.ca/mirror/CRAN/
• Install RStudio (choose the Desktop version): https://www.rstudio.com/products/rstudio/download/#download
• Install tidyverse package: install.package("tidyverse")

IMPORTANT**

1. Have your computer and a steady internet connection ready

2. If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

3. Who is this allowed to attend the workshop?
   Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming language in data science, which is R.

To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non-binary people during our events.

See you there!

Lisa, Jasmine, Lucia, Zubia, and Yuka