Group Members: Seamus Galvin, Dehao(Dan) Tu
- What kinds of patterns are being examined and how are they being measured in the projects found at the Stanford Literary Lab?
Most projects are about tracking over time. More emotional related research, analysis of humanities rather than science. Good deal of projects about novels and English texts. Almost all text based projects.
- Review the visualizations listed below. What makes these visualizations successful?How would you measure their success? If you had to develop a list of features that make these visualizations successful, what might those include?
All of these visualizations use a “rich blend” of different embedded files types such as text content, imagery, interactive maps, video files, or audio. The successful visualizations emphasize important data use different colors/highlights and greyscales. They label measurement units and scale clearly and the design of the graphs as a whole is aesthetically pleasing to draw in the viewer. To retain interests and categorize the information, successful visualizations should also be user interactive. A neatly organized visualization allows for better understanding of the content as well as easier to navigate, thus accomplishing the visualization goals.
- Go to Dirt (Digital Research Tools) and choose one (1) tool listed under “Analyze Data” and one tool listed under “Visualize Data.” How might these tools be useful in analyzing large amounts of data?
Analyze Data (Voyant Tools)
- Capable of analysing frequency of words used over time, displayed in trend graphs, word clouds,and raw counts.
- DH scholars can compare the graph to the other factors such as political or cultural movements and find the connections.
- Capable of displaying information on timeslines by markup languages, which enable the scholars to embeded the visualized representation in their websites.
- Simplify the large amount of information in an organized way chronologically.