the code fragment above. Figure 36.3: A map created by leaflet based on the famous OpenStreetMap m...Figure 36.4: A useful tool to explore new data and/or get an intuitive unde...Figure 36.5: An interactive app with ggvis. This particular example uses t...Figure 36.6: The evolution of the gender-diversity-index in function of one...Figure 36.7: Creating a flexdashboard from the template provides a useful b...Figure 36.8: The welcome page of the dashboard provides the overview (menu)...Figure 36.9: The page “Gender” of the dashboard provides multiple views of ...Figure 36.10: A simple dashboard with shinydashboard. Figure 36.11: Another take on the diversity dashboard, rendered with the he...27 Chapter 37Figure 37.1: The runtimes for matrix multiplication compared on the CPU ver...Figure 37.2: The runtimes for matrix multiplication for storage/calculation...
28 Chapter 39Figure 39.1: The status of Spark can be controlled via a regular web-browse...Figure 39.2: Each user can check information about his own Spark connection...
29 Chapter 40Figure 40.1: The package microbenchmark also defines a suible visualisatio...Figure 40.2: This figure shows that working with vectors is fastest (f2())....Figure 40.3: Different ways to calculate . The definition of the functions ...Figure 40.4: Autoplot generates nice violin plots to compare the speed of t...Figure 40.5: A violin plot visualizing the advantage of using C++ code in R...Figure 40.6: A violin plot visualizing the advantage of using C++ code in R...Figure 40.7: A visualization of the profiling of our functions. Figure 40.8: A flame-plot produced by the function flameGraph() from the p...Figure 40.9: A Callee Tee Map produced by the function calleeTreeMap() fro...
30 Appendix DFigure D.1: A visual aid to select binning borders is plotting a non-parametr...
Guide
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