What the data are (based on what sources, cleaned/filtered how)
Our project is about exploring the differences and similarities between traditional art and physical space using photography/photogrammetry. Essentially how artists capture the world, like our campus and Northfield. We will be producing a “virtual tour” of campus and town using artworks made by observational drawing and 3D scans of buildings made by photogrammetry. The sources were found at Carleton archive, Perlman museum, Northfield Rice County Digital History Collection, and Studio art Student Work Archive. We didn’t have to filter the data since we created our own dataset, but we cleaned up the data on Arc GIS, getting rid of fields like series, medium, location photographer, etc. We also cleaned up the data on the sources we cited.
what tool or technique you used to visualize it
We used arcgis to visualize our dataset on a map of Carleton, getting our location from a dataset we made ourselves in google sheets.
what the data viz is doing (exploratory or explanatory, showing what patterns of interest, etc.)
Our data visualization is showing the pictures of the locations on the map, so if you click into a point it will show you the drawing of that location. When you click on one of the points on the map it will give you the image of the painting as well as some extra info like the image title, artist, and location painted.
what you have done to style the visualization to increase its clarity
We changed the size and image of the points to be more easily seen on the map. We also changed the style of the map in order to see the locations of the artworks on the map. Our theme is a more cartoonish/ simple theme that will allow users to be able to intuitively find the points on our map more easily, and be able to have quick access to the data.
