About this episode
How can we transform complex data into understandable information? In this episode, Lily and David discuss the concept of factors in data analysis. They consider the historical context of factors, their importance in grouping data, and how they revolutionise statistical thinking.
Get every episode summarized
Each time The IDEMS Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The IDEMS Podcast
296 – Navier–Stokes and What AI Means for Mathematics
The IDEMS Podcast
Sep 11, 202628:10completed
295 – Putting Climate Data Rescue into Practice
The IDEMS Podcast
Sep 8, 202627:21pending
294 – Reflections on Climate Data Rescue
The IDEMS Podcast
Sep 4, 202621:08pending
293 – The Problem of Zeros in Data
The IDEMS Podcast
Sep 1, 202613:56pending