Data visualizations can empower libraries to engage in evidence based, data-driven research in order to create or change social health policies. This face-to-face course will teach you how to identify health inequalities through the application of data visualization concepts. You will receive practical experience creating interactive data visualizations using Tableau Public. This 6 hour, hands-on exercise will cover data visualization best practices, an introduction to Tableau Public, and how to create and interpret visualizations using publicly available data.
Participants will understand how to
1) apply the fundamentals of data visualization including design and management,
2) create interactive visualizations in Tableau Public, and
3) analyze data by creating and interpreting visualizations.
The learner will leave with an intermediate level of knowledge in data analysis and data visualization applications.
Agenda /Format & Time/ Speaker(s) Fundamentals of Data Visualization a. Design b. Data management c. Data Cleaning & Structure d. Visualization Best Practices Face-to-face, hands on, and group activity 90 minutes Peace Break Introduction to Tableau a. Create basic interactive visualizations Face-to-face, demonstration, and hands on 90 minutes Porcia Lunch Break Data & Software Practice a. Explore data to create “spatial health inequality” visualization Face-to-face, demonstration and hands on 90 minutes Josh Break Application of Own Data Face-to-face, hands on, individual application 90 minutes Josh, Porcia, Peace
Computer lab with Microsoft Excel, Tableau Public, internet access, and a projector.
MLA CE Credits: 6