What kinds of patterns are being examined and how are they being measured in the projects found at the Stanford Literary Lab?
The projects explores patterns concerning various literary mediums such as eighteenth and nineteenth century novels, poetic forms, and online fanfictions which are measured using a variety of methods such as digital crowdsourcing, prosodic and metrical analysis, natural language processing, and applied statistics.
What makes these visualizations successful?
These visualizations attempt to convey the most information in the most clear and concise way. Additionally, concerning the map of Chicago, the ability to interact with the graphics allows the user to personalize the information which organizes the information specifically for the needs of the user.
How would you measure their success? If you had to develop a list of features that make these visualizations successful, what might those include?
To determine how successful these visualizations are, a measure of how often the visualizations are viewed and the degree of user interaction with the tool itself. For example, concerning the Chicago visualization, it would be useful to measure what interface features are used by individuals. To make visualizations more successful, the ability to interact to personally organize what information is displayed is a valuable feature. Additionally, the use of contrasting color and fonts help to highlight what information is most important which contributes to the readability of the visual.
How might these tools be useful in analyzing large amounts of data?
Sci2 Tool allows for the analysis of scientific data sets through the use of algorithms to process, analyze, and share large amounts of data.
ViewShare allows the user to import data, synthesize visual interfaces, collect data, and facilitates the presentation of said data on other platforms.
Michael Hoffman and Jack Hay