What we’re about
The Ann Arbor R User Group is the local R user group for Ann Arbor, MI.
R is an open-source language for statistical computing and graphics. This group is open to all levels of R programmers to share tips, training, insights, and applications.
Be sure to visit our web page!
Sponsors
See all
Ann Arbor SPARKSPARK provides space and food for the meetup
R ConsortiumThe RC RUGS program provides financial support for R User Groups.- Ann Arbor SPARKSPARK provides space and food for the meetup
- R ConsortiumThe RC RUGS program provides financial support for R User Groups.
- Ann Arbor SPARKSPARK provides space and food for the meetup
- R ConsortiumThe RC RUGS program provides financial support for R User Groups.
Upcoming events (1)
See all- May R Users' Group Meeting - Topic: Synthetic Data and Data ProfilingAnn Arbor SPARK, Ann Arbor, MI
Synthetic Data and Data Profiling
Frequently a raw data set can't be directly used, due to privacy concerns.
There are methods of creating synthetic data sets, with the goal of preserving relationships for analysis.Also, there are data profiling tools to examine the results.
In this meeting, Barry DeCicco will demonstrate software used for generating synthetic data sets, and software to profile data.
Location: The meetup will be at SPARK's (https://annarborusa.org/) Ann Arbor site: SPARK HQ (Ann Arbor). There is on street parking, and parking at local structures.
This will be a hybrid meeting.
Time: The doors will be open at 6:00, with pizza and beverages provided. We will have a meet-and-greet-and-pizza session, and then at 6:30 we'll have a presentation.
I will be using Posit Cloud to demonstrate:
https://posit.cloud (project to be given later).Zoom information:
If you can't get in, please call me at: 734 223-3307Barry DeCicco is inviting you to a scheduled Zoom meeting.
Topic: Ann Arbor R Users' Group May Meeting
Time: May 8, 2025 06:00 PM Eastern Time (US and Canada)
Join Zoom Meeting
https://us06web.zoom.us/j/82170710757?pwd=nW33RbwGl8Yoh3yc7IePH8OMjsaQKk.1
Meeting ID: 821 7071 0757
Passcode: 677348
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