References

Absolute, relative, cumulative frequency and statistical tables. (n.d.). Sangaku Maths. Retrieved October 25, 2018, from https://www.sangakoo.com/en/unit/absolute-relative-cumulative-frequency-and-statistical-tables

Ahearn, Laura M. (2014). Detecting research patterns and paratextual features in AE word clouds, keywords, and titles. American Ethnologist 41(1), 17–30. https://doi.org/10.1111/amet.12056

Bandeen, Heather M., & Sawin, Jason E. (2012). Encourage students to read through the use of data visualization. College Teaching, 60, 38–39. https://doi.org/10.1080/87567555.2011.580638

Corley, Elizabeth, Boardman, Craig, & Bozeman, Barry. (2006). Design and the management of multi-institutional research collaborations: Theoretical implications from two case studies. Research Policy, 35(7), 975–993. https://doi.org/10.1016/j.respol.2006.05.003

Cui, Weiwei, Wu, Yingcai, Liu, Shixia, Wei, Furu, Zhou, Michelle X., & Qu, Huamin. (2010). Context preserving dynamic word cloud visualization. In 2010 IEEE Pacific Visualization Symposium (PacificVis) (pp. 121–128). IEEE. https://doi.org/10.1109/PACIFICVIS.2010.5429600

Culy, Chris. (2014). DoubleTreeJS: A compact view of words in context. Version 0.6.1. Retrieved May 8, 2019, from http://www.sfs.uni-tuebingen.de/~cculy/software/DoubleTreeJS/index.html

Culy, Chris, & Lyding, Verena. (2010). Double tree: An advanced KWIC visualization for expert users. In 2010 14th International Conference Information Visualization (pp. 98–103). IEEE. https://doi.org/10.1109/IV.2010.24

Denny, Harry, Nordlof, John, & Salem, Lori. (2018). “Tell me exactly what it was that I was doing that was so bad”: Understanding the needs and expectations of working-class students in writing centers. Writing Center Journal, 37(1), 67–100.

DePaolo, Concetta A., & Wilkinson, Kelly. (2014). Get your head into the clouds: Using word clouds for analyzing qualitative assessment data. TechTrends, 58(3), 38–44. https://doi.org/10.1007/s11528-014-0750-9

Dobrin, Sidney, Keller, Christopher, & Weisser, Christian. (2010). Technical communication in the twenty-first century. Prentice Hall.

Driscoll, Dana, & Perdue, Sherry Wynn. (2014). RAD research as a framework for writing center inquiry: Survey and interview data on writing center administrators' beliefs about research and research practices. Writing Center Journal, 34(1), 105–133.

Dunn, Kevin. (2010). Process improvement using data. Retrieved October 28, 2018, from https://learnche.org/pid/PID.pdf?428-2a90

Duquia, Rodrigo, Bastos, João, Bonamigo, Renan, González-Chica, David, & Martínez-Mesa, Jeovany. (2014). Presenting data in tables and charts. Anais Brasilieros de Dermatología, 89(2), 280–285. https://doi.org/10.1590/abd1806-4841.20143388

Esteban, Andres, & Theron, Roberto. (2011). CorpusExplorer: Supporting a deeper understanding of linguistic corpora. In Lutz Dickmann, Gerald Volkmann, Rainer Malaka, Susanne Boll, Antonio Krüger, & Patrick Olivier (Eds.), Smart graphics: Proceedings from 11th International Symposium on Smart Graphics (pp. 126–129). Springer Verlag. https://doi.org/10.1007/978-3-642-22571-0_11

Felix, Cristian, Franconeri, Steven, & Bertini, Enrico. (2018). Taking word clouds apart: An empirical investigation of the design space for keyword summaries. IEEE Transactions on Visualization and Computer Graphics, 24(1), 657–666. https://doi.org/10.1109/TVCG.2017.2746018

Few, Stephen. (2012). Show me the numbers: Designing tables and graphs to enlighten. Analytics Press.

Gelman, Andrew. (2011). Why tables are really much better than graphs. Journal of Computational and Graphical Statistics, 20(1), 3–7. https://doi.org/10.1198/jcgs.2011.09166

Giaimo, Genie, Cheatle, Joseph, Hastings, Candace, & Modey, Christine. (2018). It’s all in the notes: What session notes can tell us about the work of writing centers. The Journal of Writing Analytics, 2, 225–256. https://journals.colostate.edu/index.php/analytics/article/view/199

Gopen, George D., & Swan, Judith A. (1990). The science of scientific writing. American Scientist, 78(6), 550–558.

Grimm, Nancy M. (2011). Retheorizing writing center work to transform a system of advantage based on race. In Laura Greenfield & Karen Rowan (Eds.), Writing centers and the new racism: A call for sustainable dialogue and change (pp. 75–100). Utah State University Press.

Haskal, Ziv J. (2013). JVIR clouds, maps, and data visualization: What we write and build upon—and a plea for better views. Journal of Vascular and Interventional Radiology, 24(7), 921–924. 10.1016/j.jvir.2013.04.003

Houp, Kenneth W., Pearsall, Thomas E., Tebeaux, Elizabeth, & Dragga, Sam. (2002). Reporting technical information (10th ed.). Oxford University Press.

Jayashankar, Shailaja, & Sridaran, R. (2017). Superlative model using word cloud for short answers evaluation in eLearning. Education and Information Technologies, 22(5), 2383–2402. https://doi.org/10.1007/s10639-016-9547-0

Krawiec, Patricia A. (1995). The use of tables, illustrations, and graphs for effective research presentation. Journal of Vascular Nursing, 13(3), 92. https://doi.org/10.1016/s1062-0303(05)80034-2

Lerner, Neal. (1997). Counting beans and making beans count. Writing Lab Newsletter, 22(1), 1–4.

Lyding, Verena, & Genereux, Michel. (2016). Visual corpus interface—Putting text visualizations at use. In 2016 20th International Conference Information Visualization (pp. 324–329). IEEE. https://doi.org/10.1109/IV.2016.40

Mackiewicz, Jo, & Thompson, Isabelle. (2016). Adding quantitative corpus-driven analysis to qualitative discourse analysis: Determining the aboutness of writing center talk. Writing Center Journal, 35, 187–225.

McCandless, David. (2012). Information is beautiful. William Collins.

McCandless, David. (2014). Knowledge is beautiful. Harper Design.

McKenna, Brian. (2018). Enough with the data tables. UX Planet. Retrieved October 25, 2018, from https://uxplanet.org/enough-with-the-data-tables-cfc2913c9158

Moretti, Franco. (2005). Graphs, maps, trees. Verso.

Mueller, Derek N. (2012). Views from a distance: A nephological model of the CCCC Chairs’ addresses, 1977–2011. Kairos: A Journal of Rhetoric, Technology, and Pedagogy, 16(2). Retrieved May 8, 2019, from http://kairos.technorhetoric.net/16.2/topoi/mueller/index.html

Myers, Sharon A. (2003). Reassessing the proofreading trap: ESL tutoring and writing instruction. Writing Center Journal, 24(1), 51–70.

Partington, Alan, Duguid, Alison, & Taylor, Charlotte. (2013). Patterns and meanings in discourse: Theory and practice in corpus-assisted discourse studies (CADS). John Benjamins Publishing.

Potts, Amanda, Bednarek, Monika, & Caple, Helen. (2015). How can computer-based methods help researchers to investigate news values in large datasets? A corpus linguistic study of the construction of newsworthiness in the reporting on Hurricane Katrina. Discourse & Communication, 9(2), 149–172. https://doi.org/10.1177/1750481314568548

Pousman, Zachary, Stasko, John, & Mateas, Michael. (2007). Casual information visualization: Depictions of data in everyday life. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1145–1152. https://doi.org/10.1109/TVCG.2007.70541

Rockwell, Geoffrey. (2003). What is text analysis, really? Literary and linguistic Computing, 18(2), 209–219. https://doi.org/10.1093/llc/18.2.209

Schroeder, William J., & Martin, Kenneth M. (2005). Overview of visualization. In Charles D. Hansen & Christopher R. Johnson (Eds.), The visualization handbook (pp. 3–35). Elsevier Butterworth-Heinemann.

Selfe, Richard J., & Selfe, Cynthia L. (2013). What are the boundaries, artifacts, and identities of technical communication? In Johndan Johnson-Eilola & Stuart A. Selber (Eds.), Solving problems in technical communication (pp. 19–49). University of Chicago Press.

Sherman, Theodore A., & Johnson, Simon S. (1990). Modern technical writing (5th ed.). Prentice Hall.

Sinclair, Stéfan, & Rockwell, Geoffrey. (2012). Teaching computer-assisted text analysis: Approaches to learning new methodologies. In Brett D. Hirsch (Ed.), Digital humanities pedagogy: Practices, principles and politics (pp. 241–263). Open Book Publishers. https://doi.org/10.11647/OBP.0024

Sinclair, Stéfan, & Rockwell, Geoffrey. (2016). Text analysis and visualization: Making meaning count. In Susan Schreibman, Ray Siemens, & John Unsworth (Eds.), A new companion to digital humanities (pp. 274–290). Wiley. https://doi.org/10.1002/9781118680605.ch19

Sinclair, Stéfan, Ruecker, Stan, & Radzikowska, Milena. (2013). Information visualization for humanities scholars. In Kenneth M. Price & Ray Siemans (Eds.), Literary studies in the digital age: An evolving anthology. Retrieved May 8, 2019, from https://dlsanthology.mla.hcommons.org/information-visualization-for-humanities-scholars/

Skiba, Diane J. (2013). Bloom’s digital taxonomy and word clouds. Nursing Education Perspectives, 34(4), 277–280.

Sorapure, Madeleine. (2010). Information visualization, web 2.0, and the teaching of writing. Computers and Composition, 27(1), 59–70. https://doi.org/10.1016/j.compcom.2009.12.003

Underwood, Ted. (2012). Where to start with text mining. The Stone and the Shell. Retrieved November 11, 2018, from https://tedunderwood.com/2011/08/15/how-to-make-text-mining-serve-literary-history-and-not-the-other-way-around/

Ware, Colin. (2004). Information visualization: Perception for design (2nd ed.). Morgan Kaufmann.

Wattenberg, Martin, & Viégas, Fernanda B. (2008). The word tree, an interactive visual concordance. IEEE Transactions on Visualization and Computer Graphics, 14(6), 1221–1228. https://doi.org/10.1109/TVCG.2008.172