An exploration of the Women Writers Online text collection
including the top words and phrases of the following encoded elements:
| Sarah Campbell, Zheng-yan Yu, Sarah Connell, Cody Dunne
This project was designed and developed by Sarah Campbell and Zheng-yan Yu, who are graduate students in the Information Design and Visualization MFA program at Northeastern University. The project was developed as a part of the course CS 7295 Special Topics in Data Visualization, taught by Cody Dunne. Sarah Connell, Assistant Director of the Women Writers Project at the Northeastern Digital Scholarship Group, served as the project partner. Both Cody and Sarah Connell provided resources, feedback, and subject matter expertise.
This visualization includes multiple interactions to enable user exploration:
This data was queried from the Women Writers Online textbase and includes metadata for each of the 401 texts as well as three in-text elements. Multiple values for each element can exist in each text; for example, a text can have multiple person names identified. See the TEI guidelines documentation for more about encoding of in-text elements. Below is the original count of in-text element values:
The original queried data listed the in-text element values as one string for each text, with separators in between. We parsed the data so there existed a row for each combination of text and in-text element value; if a text included 10 person names, there would be one line for each name. We then manually aggregated values that were common, like Catholic Church and Catholike Church. These aggregations were based on sense and were not completed for the entirety of the data, but were completed enough in order to truly show the most frequent in-text element values. We visualized the top 20 values for each in-text element and their relationship to texts they reside in. For more information on accessing the Women Writers Online textbase, please see the licensing and access page.