[Special DSDC/SPDC Event 7/12] Jared Lander - R for Everything

Join us for a special impromptu DSDC/SPDC (https://www.meetup.com/stats-prog-dc) meetup with Jared Lander (https://www.jaredlander.com/), the author of the book R for Everyone (https://www.amazon.com/Everyone-Advanced-Analytics-Graphics-Addison-Wesley/dp/013454692X/) who will be in town next week.

Jared will present R for Everything. Everyone knows Jared loves R. So much that he never wants to leave the friendly environs of R and RStudio.

• Want to download a file? Use download.file.

• Want to create a directory? Use dir.create.

• Sending an email? gmailr.

• Checking Facebook? RFacebook.

• Building a slideshow? RMarkdown.

• Writing a book? knitr.

Let's take a look at everyday activities that can be done in R.

6:30 - 7:00 - Food, drinks, mingle
7:00 - 7:10 - Intros and Announcements
7:10 - 8:30 - Presentation/Q&A
8:30 - Off to Data Drinks (Tonic at Quigley's (https://www.google.com/maps/place/Tonic/@38.8980718,-77.0486512,17z/data=!3m1!4b1!4m5!3m4!1s0x89b7b7b03efaadf7:0xc491c6e865dde424!8m2!3d38.8980676!4d-77.0464625))

Bio:

Jared P. Lander is the Chief Data Scientist of Lander Analytics, a statistical consulting and training firm based in New York City; the organizer of the New York Open Statistical Programming Meetup—the world’s largest R meetup—and the New York R Conference; and an adjunct professor at Columbia University. His writings on statistics can be found at jaredlander.com (http://jaredlander.com/) and his work has been featured in publications such as Forbes and the Wall Street Journal.

Interested in being a Mentor or Mentee? Want to be matched on your Full Stack interests? Complete this survey (https://docs.google.com/forms/d/e/1FAIpQLSda0V52dTqhlYubt9bUb__GzbuHwhcFIkebX8xt8uRS-eltPw/viewform?c=0&w=1) (Even if you completed the form last time, please complete again for this event) and we'll release a list of optimized matches using this Data Community DC open source matching code (https://github.com/datacommunitydc/MentorMenteeMatching).