This virtual workshop will build on the Fall 2023 workshop “Data Visualization in R using ggplot2” to provide an introduction to gganimate in the statistical programming language R.
Designed for those who are curious about making maps but haven't yet had the opportunity to learn.
This workshop will build on the Fall 2023 workshop "Gephi Part 1: Introduction to Network Visualizations" to look at how one can conduct network analysis for research.
This is a day-long workshop that will explore 3d modelling and printing.
In this introductory workshop, learn about research data management best practices and how investing a small amount of time in organizing your data now can save you a lot of time and prevent future headaches.
Preservation of software with your research data is an important part of open research and will be a future requirement by the Tri-agencies for Data Deposit.
From very small tabular datasets to mid-size mixed methods records to the titan data for Advanced Research Computing, researchers at McMaster have a wide range of needs for storing research data. But what options are available?
This beginner level workshop will introduce you to the basic concepts of the world’s most popular Python programming language.
This workshop will introduce attendees to techniques for scraping information from the web using Python’s Beautiful Soup (bs4) toolkit. We will begin with a basic overview of the “anatomy” or structure of a webpage.
LaTeX is a typesetting programming language used to produce beautiful documents. It especially excels at scientific, mathematic, and engineering specific layouts, but can be used to produce nearly any sort of document.
The modern online environment is dangerous - data breaches and cyber attacks are increasingly prevalent, making safeguarding sensitive research data more important than ever.
Are you working with environmental, commercial, health, personal, or other sensitive data? Are you unsure whether your data is sensitive and unclear on your responsibilities for managing it?
