scienceOct 31, 202534:24pending
206 – Explore, Describe, Present: a Statistical Analysis Framework
About this episode
Lily and David explore a powerful framework for data analysis: Explore, Describe, Present. They discuss the importance of exploring data to understand its structure, describing data in the context of specific objectives, and effectively presenting insights to various audiences. Highlighting the challenges of modern data analysis, including the role of AI and the influence of tools like the tidyverse and R-Instat, they emphasise the need for structured approaches to make sense of complex datasets.
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