Palladio is a research tool for examining data across time and space. It allows for the identification of patterns, clusters, and trends within data that may be difficult for an individual researcher interacting with the data to see. Palladio serves as a means of enhancing (not replacing) traditional qualitative humanities research methods. Data can be mapped, graphed to show network relationships, viewed and faceted as an interactive gallery, and more. Palladio comes out of Stanford University’s Humanities + Design research lab.
I’m enrolled in an Introduction to Digital Humanities course through Library Juice Academy. One of my assignments this week requires an examination of Palladio (as well as a similar tool, Google Fusion Tables). Palladio peaked my interest. My initial introduction and interaction with Palladio came through the very helpful Getting Started With Palladio tutorial by Miriam Posner. This tutorial provides clear, easy to follow instructions for uploading data into Palladio and beginning to work with the data tools- definitely check it out.
After completing the Posner’s tutorial I got inspired to apply Palladio to some data we have access to through DPS projects. I took a few minutes to aggregate data from a couple of different spreadsheets around the Dorr Letters Project. My data looks like this:
In less than a minute I was able to create this visualization graphing the “to” and “from” fields:
And this map showing the origination location for each item of correspondence:
I’ll continue to play with Palladio and update this post accordingly.