Name: Visualising Uncertainty: How to Show What the Data Doesn't Know
Start: 2026-03-31T15:00:00+01:00
End: 2026-03-31T17:00:00+01:00

🎉 **Event Announcement: UNILORIN R Users Group Meetup Series**
📌 **Event Theme:** Visualising Uncertainty: How to Show What Your Data Doesn't Know
📅 **Date:** Tuesday, March 31, 2026
⏰ **Time:** 3 PM WAT
📍 **Venue:** YouTube Live

Join us for another insightful session in the **UNILORIN R Users Group Meetup Series**.

This meetup focuses on an often overlooked aspect of data analysis: communicating uncertainty. Rather than presenting only single estimates, analysts must also show the range of possible outcomes and the limits of what the data can confidently tell us.
Using R, this session will demonstrate practical ways to visualise uncertainty so audiences can interpret results more responsibly.

🔍 **Audience Takeaways**
Participants will learn practical techniques for communicating uncertainty in data analysis, including:

* **Understanding uncertainty in data:** Learn where uncertainty comes from in statistical analysis and why it should be communicated clearly.
* **Confidence intervals and error bars in R:** Visualise ranges around estimates to show possible variation.
* **Showing variability with distributions:** Use histograms, density plots, and boxplots to reveal how data values spread.
* **Uncertainty in regression models:** Display regression lines with confidence bands and prediction intervals.
* **Clear data storytelling:** Learn simple strategies for presenting uncertainty in reports and visualisations.

This practical session will help participants move beyond single-point estimates and develop more transparent and trustworthy data visualisations using R.
**RSVP Now!** 🚀

Ogundepo Ezekiel

Dr. Samuel Farohunbi

Dr. MK Garba

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**Olusanya Elisa OLUBUSOYE** (PhD) is a professor and formerly the acting head (May 2009 - April 2011) of the Department of Statistics, University of Ibadan. He has taught at other universities, including Addis Ababa University in Ethiopia and the Pan-African University (Institute for Basic Sciences, Technology, and Innovation) in Kenya. His research interests include macroeconometric modelling, applied Bayesian analysis, and statistical model simulation. He has served as a consultant and research fellow to several organisations, both locally and abroad, including the MacArthur Foundation, the African Union (AU) on Education Management Information System (EMIS), the African Economic Research Consortium (AERC), and the Lagos State Government on Lagos State Baseline Data and Service Delivery Projects funded by the World Bank. He was a visiting scholar to the International Monetary Fund (IMF) in 2006. He is a member of many professional and academic associations, including the Royal Statistical Society (RSS), London; the African Econometric Society (AES); the International Biometric Society (IBS) Group Nigeria; and the Nigerian Statistical Association (NSA). He holds the highest professional qualification of Chartered Statistician (CStat) of the RSS. He is a Senior Research Fellow with the Centre for Econometric and Allied Research (CEAR), University of Ibadan.

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Visualising Uncertainty: How to Show What the Data Doesn't Know

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