Working with Messy Data in OpenRefine
In an ideal world, any data you collect or obtain would be clean and formatted perfectly for analysis and visualization. But the reality is that data can be really messy! […]
In an ideal world, any data you collect or obtain would be clean and formatted perfectly for analysis and visualization. But the reality is that data can be really messy! […]
What will you learn? Dataverse is the University of Toronto’s institutional repository for publishing and sharing your research data. In this workshop, you will receive a hands-on introduction to this […]
Having trouble with finding the time and motivation to write? Shut Up and Write is a chance for academic writers within the UofT community to write productively in a communal […]
This workshop will offer an overview of using ProQuest RefWorks, a web-based reference management tool available to U of T students. No prior RefWorks knowledge is required. By the end […]
During this 1.5-hour session, we will discuss the core principles of the MRHP system and review the main functions within key roles: 1. Faculty PI / Supervisor Create original submission, […]
EndNote is a reference management software that has specific capabilities needed when conducting a systematic review, scoping review, or other review publication. In this workshop, you will learn how to […]
MRHP and MRAP User Clinics - Bring your work! MRHP and MRAP users are invited to work on their own research protocols during these sessions at which support team members […]
Orientation to campus resources for students with startups or interested in startups, including accelerators, courses and programs, library resources, commercialization, funding opportunities, and Toronto community resources. You will leave with: […]
This hands-on workshop in Python covers reading, describing, and filtering data, as well as conducting basic summary analyses, using the pandas package and Jupyter Notebooks. Workshop attendees do not need […]
This is the second of two workshops on exploratory data analysis using Python, and you must have completed Exploratory Data Analysis Using Python – Part 1 of 2, or be […]