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Creating interactive visualizations with Tableau Public I

Tableau is a beautiful, relatively easy to use data visualization tool.  The Tableau public product is FREE and relatively easy to use.  I call it “Excel on steroids.”

I’ve been teaching myself how to produce interactive visualizations with Tableau Public.  Here’s some of what I’ve made.  I’d love to take what I know and teach it to you.

NOTE:  In order to run Tableau Public you need either a Mac or Windows.  I run Linux on my laptop, so I won’t have a machine capable of showing what to do.  Is there someone who can work with me on this?  (I noticed another attendee has a draft proposal on exactly this same topic — perhaps we could work together?)


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Hello Texas!

Planning for THATCamp Clear Lake is currently in progress! It will be held November 3-4, 2017 on the theme of data visualization in the humanities.

THATCamp Clear Lake will convene at the Bayou Building on the University of Houston-Clear Lake (UHCL) campus and will be comprised of two parts. Friday will start things off with a series of talks from 2:00-5:00. Participants will then gather for an optional dinner and a mixer at 6:00. We will reconvene on Saturday from 9:00-3:00 at the Bayou Building for the THATCamp.

People of all experience levels and backgrounds are welcome. Because THATCamp Clear Lake is an unconference, the agenda will be determined by the participants during the first session on Saturday. If you are working on a project, you can show it off. If you have an idea or a dilemma, you can have conversations about it with fellow Digital Humanities (DH) enthusiasts. If you know a technology or technique, you can teach others about it.

Some food and refreshments will be provided for the Saturday portion, including a light breakfast and lunch. Attendance is free and open to everyone, though registration is required. You may register here or at the tab above.

More details will be published here as we have them. Meanwhile, read more about THATCamps at

New to DH? Check out A Short Guide to the Digital Humanities by Anne Burdick, Johanna Drucker, Peter Lunenfeld, Todd Presner, and Jeffrey Schnapp. See also Miriam Posner’s DH101: A Highly Opinionated Resource Guide, including a section on Visualizing Data.