Above are at least two of the types of visualizations that we will use for our data in our final website! Though the information we will collect will expand to fit an entire term of events to better display some of the fun patterns that you can find in the arts events in the Weitz! The first data visualization is a sunburst graph made using Flourish. This display can show us what rooms are used most often in the Weitz and what events are hosted in them. The size is determined too by the length of events. If you click around the graph, you can find more information on the type of category each event falls into. You may also use the selector at the top to sort by the department hosting said event. Our second visualization is using TimelineJS, which is another cool way to look at Carleton’s Art Calender in a different format, which allows for the visualization of the length of events as well. Both of these graphs use data that we cleaned and collected manually from the Arts @ Carleton Calender available for public access on Carleton’s website. We would categorize this visualization under Explanatory since it helps to easily display the data that we have collected without necessarily drawing clear conclusions. However, the ArcGIS graph we are working on will help our audience explore the data and compare and contrast different rooms in the Weitz and their importance to the art culture at Carleton.