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Staffed Hours: Fall 2023
Mondays: 12pm - 5pm
Tuesdays: 12pm - 5pm
Wednesdays: 12pm - 5pm
Thursdays: 12pm - 5pm
Fridays: 12pm - 5pm
Come to this discussion-based session to learn about best practices, tips, and inspirations for creating versatile visualizations.
If you are currently working with data and have begun working through your data visualizations, bring your graphics to the workshop to showcase your skills or to seek feedback. Or feel free to bring in a favorite visualization you’ve encountered for discussion and technical analysis. Examples of visualizations include plots and charts (network graphs, scatterplots, histograms, line graphs, word clouds, etc.) and maps (choropleth, heat, topographic, thematic, point density, etc.)
The session will begin by dedicating time to understanding the scope and variety of visualizations available; examining best practices and the pitfalls of making good charts, tables, and maps; and building a framework that establishes goals for visualizations. The workshop will then continue with focused analysis of participants’ working visualizations.
Please submit your visualization for the discussion ahead of time via this link.
| Software: | None |
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| Duration: | 90 min |
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Room description: |
Some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering |
| Prerequisites: | None |
| Skills Taught / Learning Outcomes: |
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| Class Materials: | guides.nyu.edu/viz |
| Related Classes: |
Data Visualization with Tableau Data Cleaning Using OpenRefine Introduction to Research Data Management Introduction to R |
| Additional Training Materials: | guides.nyu.edu/viz |
| Feedback: | bit.ly/feedbackds |