Advanced Data Visualization for Big Data Material
By: Scott Lee Wise
Updated: 05/24/19
Where Showing in 2019:
- ASA CSP Conference - New Orleans, LA
- ASA SDSS Conference - Seattle, WA
- ASA JSM Conference - Denver, CO
- Advanced Mastering JMP
Problem: Even with access to good visualization software, graphing is done too quickly and haphazardly without proper “thought” to purpose and construction. Big data sizes amplify these problems and this results in ineffective graphing.
Answer: Proper “Graph Thinking Themes” can help you create more effective visualizations that convey your intended message and can bring out the “real story” in your big data.
- We will not be focusing on normal graphing advice on how to best prepare and subgroup your data, pick the right graph types per data type, or even choose the best visualization software to use.
- Instead we will focus on just four “Graph Thinking” Themes that the our experts say are even more important to ask as we build our big data graphs!
Visualization Authors Cited/Researched:
Attached Slides with Blog/Links: Mastering JMP 2019 Adv Viz for Big Data.pptx
