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Showing 85–90 of 91 results
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Urban Heat Islands and Social Inequities: A Data-Driven Story
In this talk, Nael Shiab and Isabelle Bouchard (CBC Journalists) present their work on urban heat islands, where they used open data and interactive data visualization to highlight social inequalities and the effects of global warming. Their report shows that immigrants and people with low income are most likely to live in the hottest urban areas, making them more vulnerable to heat waves with deadly consequences.
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Version Control with Git
This workshop will give you a solid introduction to Git. Git is software originally designed to help manage vast, decentralized software projects with hundreds of authors, but it works just as well with many things that aren’t software, like data and text. Imagine having a complete archive of your work at every stage in its development!
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Visual Data Analysis with Microsoft Excel
Data visualization is the graphical representation of information and data. This workshop will cover topics such as applications of data analysis basics for visualizations; effective designs of basic charts such as pie charts, bar charts, and scatterplots; time series analysis and visualization; and more advanced analytical displays like bar-in-bar, slope charts, dot plots, and bullet charts.
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Visualizing Data in R using ggplot2
Learn how you can create publication-quality figures using ggplot2. This web module will cover plotting options for one- and two-dimensional continuous and categorical data and explore options for customizing your figure’s appearance.
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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. Persistent identifiers (PIDs) are reference links that can never rot and are increasingly important in an interconnected research world!
This workshop will overview the importance of PIDs, DOIs, and ORCiDs–a unique link where you can connect to all your expansive scholarly output—datasets, articles, exhibitions, projects, interviews, education, residencies, and more.
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What is Digital Scholarship?
Have you ever wanted to learn more about Digital Scholarship? This constantly evolving field includes data analysis and visualization, Digital Humanities, and beyond. Join the conversation by watching the recording of this panel and learn about the many possibilities for those working in Digital Scholarship.