R-Ladies Boston

Here are the slides and example code from Marianna’s Intro to Shiny this week

slides: Google Slides

code: github

Thanks Meredith for the great talk about tidyverse, being thoughtful about your code organization, and of course the rats of Somerville. View the talk materials (slides & code) here: https://github.com/gitmab/ratstats

Hey all! Please enjoy the slides from Abi’s great, diagram-rich intro to some practical baby steps in git: https://github.com/rladies/meetup-presentations_boston/blob/master/git_and_github_20181023.pdf

Mara has kindly provided us with the slides from her talk: http://bit.ly/not-science

Apologies for the late post! April just mudslid into May before I knew it. Here is the link to Laura’s gist detailing how to set up your own Shiny server on AWS. If you’d like to follow along with the workshop, please create an AWS account ahead of time. Creating an account is free (https://aws.amazon.com/free/), and includes a free trial of the features Laura demoed. A lot of the content was buttressed with verbal explanations, with the gist itself being very technically detailed - so you may want to set aside time to google what certain commands mean, or to sit down with a friend or coworker who is more familiar with AWS. [Read More]

Alex Albright of The Little Dataset That Could gave a fun, expansive talk last night about dreaming up data visualization “stories”. She was generous enough to share her slides with us here.

Phoebe Wong gave an awesome tutorial on the purrr package yesterday at RLadies Boston, here’s the link to her github where you can work through the tutorial yourself: https://github.com/phoebewong/purrr-tutorial-RLadies

So part of the joke is that I literally don’t have slides for my knitr talk, partially because I’m lazy, but mostly because Software Carpentry has emboldened me to present code with livecoding instead of slides. If you are following along later/from afar, you’re probably going to want to install RStudio (it’s free!) to run through this stuff. I believe it’s possible without it, but will be much less pleasant/productive. [Read More]

With generous help from others, I have identified three datasets which may appear at R-Ladies Boston’s OktobRfest (format TBD).

• US Beer Statistics from TTB (R package by R-Lady Jasmine Dumas)
• Consumption Stats from Munich Oktoberfest h/t Gresch
• Beer Advocate Reviews, courtesy of TCB Analytics (link at bottom)

Please send other suggestions (@RLadiesBoston), and feel free to pass these along! I’m also taking suggestions for bars in Boston with projectors to show Shiny Dashboards on ;)