About mxlabs
A platform for practising analytical coding in R.
What is mxlabs?
mxlabs is a platform to practice coding for data processing and analysis, with 157 problems spanning coding and statistical theory.
Topics range from sorting and cleaning data to causal inference. New problems and topics will be added over time.
How it works
Problems are written in R, with pre-packaged functions limited to keep the focus on core principles. To calculate a mean, for example, you need to know the dataset dimensions and how to sum its columns.
Problems are tagged by difficulty and topic. Filter, run your code to check it works, then submit. After every solve you see how your solution compared with others.
Quizzes
Tutors create quizzes from the question bank and share a link with their class. Each student gets a version with randomised parameters: same question structure, different numbers. Students sign in with a one-click email link, submit their answers, and see results once the tutor releases them.
Currently available to tutors on request. Email us to get access. Practice quizzes for self-study are on the roadmap.
AI feedback
Request AI feedback on any attempt. It explains errors, identifies where logic broke down in wrong answers, or suggests improvements on correct ones.
Three free calls per day. Provide your email so we can track usage. See the Privacy & AI page for details.
Why mxlabs?
mxlabs plugs three gaps in the world of data analytics.
There is little opportunity to practice analytical coding in a way that builds methodological understanding. Pre-packaged functions exist for almost everything, which is useful, but it can prevent you from deepening your understanding, even in universities.
Rapid advances in AI coding are making this worse. The productivity gains are real, but applying the wrong method, or the right method incorrectly, can have serious consequences when data analysis drives decisions.
Assessing analytical skills is hard without seeing them in practice. For analysts, knowing your gaps and how you compare with others is useful. For teachers and hiring managers, that information is equally valuable.