Resources for self-guided learning

As New Yorkers do all we can to stay well in the times of coronavirus, all of our routines have changed. For some of us, this may mean more time devoted to strengthening our data skills. If this is you, here is a collection of resources that can get you up and running with learning a new skill in R. These were originally compiled for the R-Ladies NYC Code-llaboration Hangout back in January, and are organized by topic: Tidy Tuesday, Building a Package, Building a Website, Time Series Analysis and Everything Else.

Build a Career in Data Science

R-Ladies NYC is proud and excited that one of our members, Emily Robinson, is co-authoring a book with a fellow R-lady, Jacqueline Nolis! The book, Build a Career in Data Science, is available for pre-order, which comes with online access to all currently available chapters (1-9) access to the rest of the chapters as they come out. This book is a practical guide to preparing for, finding, and excelling in a data science role.

Hex Sticker Result

The R-Ladies NYC call for a hex sticker design produced three creative and unique submissions. We would like to thank Ayanthi Gunawardana, Kat Hoffman, and Ludmila Janda for their involvement with the R-Ladies NYC community and time spent crafting their designs! Below, each of these R-Ladies shares her inspiration behind her design: Ayanthi Gunawardana: My goal was the keep the logo and colors as simple as possible to ensure it could be scaled to any size.

Data Science and Fantasy Baseball?

Thank you so much to Anisha BharathSingh, who originally wrote this post for her blog, found here. We are reposting her post with her consent. If you are an R-Lady interested in writing a blog post or cross-posting a blog post on your own blog, please let us know (via email or via DM on twitter @RLadiesNYC)! On Thursday, May 23, I attended my first R-Ladies NYC meetup! R-Ladies NYC is an organization that promotes gender diversity amongst the R community by organizing a series of events (including this meetup) to support women who want to learn R or want to share their experiences as R programmers.

NYR 2019 Speaker Experience and Tips

The New York R conference attracts a diverse yet technical audience which means the bar is high for all invited speakers. This year, over half the speakers were women, including several R-Ladies NYC members. It was such a fun and good experience that we decided to collaborate and write a blog post to encourage others to speak at conferences and provide some tips. Speakers: Ludmila Janda, Emily Robinson, Emily Dodwell, Gabriela Hempfling, Elizabeth Sweeny, Soumya Kalra, Brooke Watson, Amanda Dobbyn, Letisha Smith

Benjana Guraziu: An RLady’s First R Conference

The 2018 New York R Conference was my first ever R conference, and it was great. I’ll write here about my experience, with links to resources from the widely varying talks. First and foremost, I want to thank RLadiesNYC for the scholarship which allowed me to attend the conference. As a self-taught R newbie and incoming grad student, I greatly benefitted from attending this conference, and I so appreciate the opportunity from this great group!

Brooke Watson: Scraping Javascript websites in R

Background: remixing packages in R Javascript webscraping in R Download PhantomJS using homebrew Writing scrape.js Scraping Extracting audio files Downloading mp3s Organizing an R package Converting mp3s to wavs Cleaning up and filtering .wav file names Tidying file names Renaming file paths from within R Remixing the beep() function Wrapping it all into a package Maintaining an open source package in R Background: remixing packages in R Open source software is made for remixing.

Jasmine Williams: My first step to healing from WISDOM (Women in Stats, Data Science, and Omics)

As it grew nearer to the fall season my heart and mind grew heavier. This was the first birthday and holiday gatherings without grandma. I became distant from everything outside of my family and work, and knew I had to get out of this emotional funk. The 2017 Women in Statistics and Data Science conference brought together hundreds of data scientists and statisticians from all walks of life in an intimate setting to share their personal and professional experiences.

Coming soon!