Data Visualization with MATLAB
This asynchronous module will discuss how you can create publication-quality figures using MATLAB or its free alternative, Octave.
How to Lie with Data
Data may seem objective or neutral, but that's not always the case. At this roundtable, learn about how data can be manipulated, skewed, or collected so poorly that any findings are extremely suspect.
The Advocacy Article Club
The Advocacy Article club is a group hosted by two McMaster Library Ambassadors (Veronica and Matt) where we gather once a month to discuss an article.
Securely Managing and Publishing Sensitive Data
Are you working with environmental, commercial, health, personal, or other sensitive data? Are you unsure whether your data is sensitive and unclear on what you need your responsibilities are for managing it?
The Value of Visuals in Science Communication
Science research relies on data to describe theories and stories, but communicating the complex, sophisticated, or sometimes esoteric information and relationships within these data is limited.
Data Visualization in R using ggplot2
This virtual workshop will provide an introduction to ggplot2, an open-source data visualization package for the statistical programming language R.
Intro to Geospatial Data
Geospatial data is data about objects or features on or near the surface of the Earth and can be mapped using Geographic Information Systems (GIS) software.
Urban Heat Islands and Social Inequities: A Data-Driven Story
In this talk, Nael Shiab and Isabelle Bouchard (CBC Journalists) will present their work on urban heat islands and their correlation with some demographic indicators.
What are ORCiDs and DOIs—and Why Do I Need Them?
We’ve all seen a 404-error message, trying to access an old hyperlink. Link rot happens when a site is removed or a URL stops pointing to the right location.
Computational Approaches for Text Preparation and Analysis
Are you interested in textual analysis but unsure about where to start?
Simulations for Power Analysis with R
How much data should you collect for your next project? It all depends. This workshop will explain how you can simulate your experiment in R to determine how much data you'll need to achieve your desired level of statistical power.