Data visualization is a way of presenting data in a visual context. Not only can data visualization be used to communicate a large amount of information clearly and concisely, it can help you gain insight into things you would have otherwise been blind to had you only examined the raw data. Because data comes in many forms and is gathered in virtually all disciplines – from population statistics in the U.S. Census, to text analysis of Shakespeare’s work, to video recordings of a dance performance – data visualization can also take on various formats. Charts, graphs, timelines, tables, and box-and-whisker-plots are just some of the more recognizable ways to visualize data, but there are many more options out there for you to choose from.
Through the Research Commons, students, faculty, and staff can get assistance with:
- Determining the best format to present your data based on research question, data type, audience, and medium
- Creating static, dynamic and interactive visualizations and infographics
- Identifying appropriate data visualization software for your research project
- Training for a variety of data visualization tools, including free and open source options, OSU-licensed resources; and other special software such as Adobe Illustrator, Adobe Photoshop, Adobe InDesign, Tableau, Gephi, Cytoscape and more
In order to schedule a remote consultation, please select an open date/time below. Your consultant will send you a Zoom link for your remote meeting. If the available time slots do not work with your schedule, please email the consultant to schedule an alternate time.
Our schedule for October 2020
Meet the Expert:
Lee-Arng Chang (firstname.lastname@example.org) is the Data Visualization Specialist at The Ohio State University Libraries. Aside from offering consultations, he collaborates with faculty and staff for in-class teaching of visualization skills and conducts visualization workshops covering both the conceptual basis for effective data visualization and the use of visualization tools. Lee-Arng also works as part of the Research Commons team on cross-disciplinary projects to meet needs of partners across campus.