Intro to Humanities Data: The Path to Complex Visualizations and Statistics
dc.contributor.author | Partlow, Mia | |
dc.contributor.author | Craig, Kalani L. | |
dc.date.accessioned | 2018-02-01T18:26:48Z | |
dc.date.available | 2018-02-01T18:26:48Z | |
dc.date.issued | 2018-01-30 | |
dc.description.abstract | At times more complex data visualizations are necessary to communicate your argument and explore the multiple dimensions of your dataset. This hands-on session will start you down the path towards employing statistical methods to communicate your argument, and will give you a chance to bring your own data and work through options for visualizations. During the workshop we will use two sample datasets to discuss how they were prepared and structured to enable comparison with regression analysis. We'll discuss regression analysis and how you can compare two datasets in a way that ensures you're getting useful information. | |
dc.identifier.uri | https://hdl.handle.net/2022/21894 | |
dc.language.iso | en | |
dc.relation.uri | https://purl.dlib.indiana.edu/iudl/media/j92g258n9n | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | digital humanities | |
dc.subject | network analysis | |
dc.subject | statistics | |
dc.title | Intro to Humanities Data: The Path to Complex Visualizations and Statistics | |
dc.type | Presentation |
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