Data Visualization: Fill Your Toolbox

by Digital Scholarship

Workshop / Conference Academic Professional Development

Tue, Feb 6, 2024 1:10 PM –

Tue, Apr 9, 2024 2:40 PM EST (GMT-5)

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Find the best data visualization tools for your research by exploring a wide variety of approaches including Tableau, ggplot2 in R, and our suite of text analysis tools. Grow your skills with each class or drop in at your own pace.

PLEASE REGISTER for sessions below and add them to your google calendar. We look forward to seeing you at the workshop!

Agenda

Past Events

Tue, Apr 09, 2024
1:10 PM – 2:40 PM
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Data Viz: Coding Visualizations with ggplot2 in R

Code your data visualizations using ggplot2, an open-source data visualization package for the statistical programming language R. A basic familiarity with R is helpful, but not required to learn how to create and customize graphs.
Tools: R, R Studio

6 Spots Left
Tue, Mar 26, 2024
1:10 PM – 2:40 PM
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Data Viz: Network Analysis with Gephi

Gephi is a free, open-source platform for analyzing networked data. Discover how to extract networks from a table, visualize the data, and export them using Gephi.
Tools: Gephi, Table 2 Net

6 Spots Left
Tue, Mar 12, 2024
1:10 PM – 2:40 PM
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Data Viz: Maps and Graphs in Tableau

Tableau Public is a free platform for creating a wide variety of different interactive and shareable data visualizations. Learn how to connect your data and navigate Tableau’s functions to create a myriad of visualizations.
Tool(s): Tableau Public

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Tue, Feb 20, 2024
1:10 PM – 2:40 PM
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Data Viz: Visualizing and Analyzing Text

Discover different ways to analyze texts and what services the library offers directly through our databases, whether you're a beginner or a pro. Tools: Constellate, Gale Digital Scholar Lab, Voyant

4 Spots Left
Tue, Feb 06, 2024
1:10 PM – 2:40 PM
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Data Viz: Introduction to Data Visualization

Looking to get started in Data Visualization? Wondering how to use it to enhance your research? Learn how to prepare your data, incorporate design principles, and create a basic infographic. Tools used: Excel, Canva.

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