The RStudio environment makes truly reproduci ble research accessible. Reporting your work and ensuring that your code wi ll run in any environment is made easier with RMarkdown and R Projects. In this workshop\, you will learn how to keep your analyses organized\, unders tandable\, and sharable using these tools and others. By the end you will h ave your own (small) reproducible analysis ready to share with others. This is an intermediate workshop for people who have some experience working wi th R and RStudio.

Visualizing data effectively is an important component of any research project\, from initial data exploration to the fi nal research product. The same data can tell many stories\, and this worksh op will give you the tools to uncover them. Using the incredibly popular gg plot2 package in R\, you will learn how to make reproducible data visualiza tions of a variety of data types. By the end\, you will have the necessary skills to forge your own way forward. This is an intermediate workshop for people who have some experience working with R and RStudio.

Audacity is a free and open-source audio e diting and recording software. In this workshop\, we will discuss best prac tices for audio recording and learn how to use Audacity to get audio files prepared for archiving\, hosting\, and sharing. No prior knowledge is requi red.

Are you curious about the GC Digital Scholars hip Lab\, the GC Digital Fellows and the services that we provide? While we may not be meeting in-person this year\, come join us at our Digital Sc holarship Lab Virtual Open House on Wednesday\, September 9th to learn about what we do!

Drop in and learn about:

Resource s for developing research projects that include digital technologies

Ways to get involved with the #DigitialGC community

Finding works hops\, tutorials\, guides\, office hours\, and more…

Whether yo u are looking for advice or assistance with new or current projects or look ing to discuss and learn new skills or tools\, this Open House is for you!< /p>

We will be hosting our virtual open house at 3 different time slots t his year. Drop in at any of the following times:

12 – 1pm: REGISTER HERE
2 – 3pm: REGISTER HERE
4 – 5pm: REGISTER HE RE

We will be sending a Zoom meeting link and password to r egistered participants an hour before the event start time.

Come say hi\, meet new folx\, and see old ones~!

R is a versatile programming lang uage\, best suited for a variety of data science needs. Whether you need to run some statistical analyses\, create publication-worthy data visualizati ons\, or even publish a website\, R has a multitude of tools to help you ge t what you need done. This workshop is intended to get interested users up to speed with the R language and the RStudio interactive developing environ ment. By the end\, you'll be able to install and load packages\, read in da ta\, do basic data wrangling and visualization\, and navigate the RStudio e nvironment. Note: Please install R & R Studio ahead of the Workshop followi ng this instruction.

You must install both R and RStudio for all R workshops. To install R\, follow the instructions at this li nk: https://cran .mirrors.hoobly.com/ To install RStudio\, follow the instructions at th is link: https://www.rstudio.com/products/rstudio/If you have any ins tallation problems\, write to Sam at sohanagrainger@gradcenter.cuny.edu\, or join the R User Group Slack channel at https://bit.ly/3C8d4vv

A Zoom link will be sent out the day before the workshop!

Register here: https://www.eventbrite.com/e/r-you-ready-an-absolute-begi nners-crash-course-for-r-tickets-418078864137