How I became a Data Composer – examples of simulated datasets that bring value to a data-driven company

How can I get the buy-in from business partners to use more advanced techniques? What can I do to make a data project involving several teams more efficient? And how can I train analysts who do not (yet) have access to sensitive data?

How I became a Data Composer – examples of simulated datasets that bring value to a data-driven company

January 21, 2021

How can I get the buy-in from business partners to use more advanced techniques? What can I do to make a data project involving several teams more efficient? And how can I train analysts who do not (yet) have access to sensitive data? A good data composer is skilled at creating suitable data quickly and efficiently. R has many functions and packages that help with simulating independent variables and composing those in a meaningful way. In this talk, I will share how I started creating data and how this skill helped me with solving some of the issues described above. Showing a few examples – of small, medium-sized, and large data composition – I want to encourage attendees to simulate data and enrich their data skillset.

Additional Videos

Richard Vogg, Alan Feder, Grant Fleming, Simon Couch, and Chelsea Parlett Q&A

Richard Vogg, Alan Feder, and Simon Couch Q&A


About the speaker

Richard Vogg

Richard Vogg studied mathematics at TU Kaiserslautern, Germany, where he focused on statistics and obtained a Master’s degree. He worked as a Senior Business Analyst at Evalueserve in Chile for the last years, analyzing data for a major US bank. At the end of 2020, he moved back to Germany. Richard is a fan of applied statistics and storytelling with data. Outside of R, he enjoys playing the ukulele, trumpet, and didgeridoo.