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13: UnConference

Wednesday agenda During our Wednesday meeting, we’ll troubleshoot any questions and issues with recording our virtual conference talks. Guidelines Your talk should be a minimum of 7 minutes and a maximum of 10 minutes. This time limit will be strictly enforced and I will reject any video that does not adhere to the time limit. […]

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12: Work

This week I suggest: Finalize which visualizations you’ll include in your presentation Draft your presentation talk and decide how you’ll record it (see next week’s module for details) Work on the analytical text of your project. This won’t be in your presentation, but having the argument of your project more firm in your own mind […]

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11: Work

This week I suggest: Finalize the visualizations you’ll include in your final project Review chapters 17-25 of Fundamentals of Data Visualization on information design Refine the formatting and labelling across all visualizations to make your analysis clear. Remember that formatting, color palette, and “feel” should be standard. Write yourself a color/font/formatting style guide. A style […]

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10: Work

This week I suggest: Making a first draft of all the visualizations you’re thinking about. This will identify early where there are problems or where you need further refinement or research. If working with network data, run your analysis and write a first draft of your networks code. Wireframe your Tableau dashboard, Observable notebook, or […]

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9: Work

Your time is your own for the rest of the semester. You should have a dataset identified and approved by now, so this week I suggest: If using an API, write the program to acquire your data Do a data critique to assess what you have to work with Extend your data with geographical or […]

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8: Maps

Module Outline Wednesday Agenda During our Wednesday meeting, we’ll troubleshoot the Tableau Maps assignment. Reading Everyone Fundamentals of Data Visualization, Ch 17-23, excluding chapter 18 What is Spatial History? Explore one of the projects by the Digital Scholarship Lab at the University of Richmond. Mapping the 1854 Cholera Outbreak What is GIS? The Oak of […]

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7: Networks

Reading Everyone The Wisdom And/Or Madness of Crowds Using Metadata to Find Paul Revere Following Up on Paul Revere Mapping Shakespeare’s Tragedies Maeve Kane, All One People Grad Maeve Kane, “For Wagrassero’s Son: Colonialism and the Structure of Indigenous Women’s Social Connections, 1690–1730.” The Journal of Early American History. (2017) https://doi.org/10.1163/18770703-00702002 [Not available through UAlbany, please download PDF] Robert […]

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6: Breather

There are no assigned tasks or discussion this week. I will be available during our regular Wednesday meeting time, but you should feel free to take this week as a break if you need it, work ahead, or review. As we think about our final projects, everyone should read Chapter 29, “Telling a Story and […]

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5: Using Data

Module Outline Wednesday Agenda At our Wednesday meeting, we will troubleshoot the Intro to Tableau assignment. Tasks Comment below with your tentative data plans Make a free account at Tableau Public. You will need this username/password to complete many assignments. Tableau Public is different than Tableau.com! Download and install Tableau Public on your computer (this […]

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4: Getting Data

Reading No reading this week! Watch After watching the video above, you may be asking why I included it. Historians aren’t journalists and we rarely put together our own datasets. However, every time I teach this class I get students who want to transcribe or otherwise put together their own data for the final project. […]