Big Data Visualization with Tableau and R

Perceiving actionable information in big data can be like finding a needle in a server stack. Since columns and rows have been a part of our human livelihood for only a small fraction of our existence as a species compared to our time-tested hunter-gatherer instincts, it only follows that making sense of data can be greatly facilitated with visual signifiers that combine colors, lines, shapes, directionality, proportion, symmetry, and balance to mark significant traits—from outliers to comfort zones. Portraying and expressing features in the data landscape require software that launches reticent values into meaning-laden metaphors. This talk by Florida Tech librarians Rob Sippel and David Lowe will cover two of the most popular visualization tools used by data scientists today: Tableau and R. Topics will include software features, applications, and demos with various data sets.