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letters help you visualize
Tableau Letters are reasoned articles about fast analytics and visualization that rise above the daily ephemera of typical blog postings. Our goal is to explain the research and rationale behind the development of Tableau software and how those choices help people see, understand, and share their data.
Two Stereotypes that Limit Analytic Insights
Author: Christian ChabotWe launch our series of Tableau Letters by addressing two commonly held stereotypes about visualization: that visualization is only for big datasets and that visualization is only for complex questions. Not so on both fronts, says author Christian Chabot.
Fast Analytics: The Next Step for the Database Success Story
Author: Jock D. MackinlayJock Mackinlay starts by this Letter summarizing the success story of databases but then moves into a discussion about why fast analytics is required for the database success story to continue evolving. He discusses why compelling ways for people to work and think with their data are needed if databases are to continue to grow.
There Is No Single View...
Author: Jock D. Mackinlay and Chris StolteJock Mackinlay and Chris Stolte address the myth that there is one single graphical view that can answer all questions. The on-going search of this one view - akin to the "Holy Grail" of visualization - is a distraction from the larger job of learning how to use multiple graphical views to see and understand data.