In the Visualization techniques for continuous variable data section of Chapter 3, Data Visualization, we have seen different data visualization techniques which help in understanding the data variables (boxplots and histograms) and their interrelationships (matrix of scatter plots). We had seen in Example 4.6.1. Resistant line for the IO-CPU time an illustration of the resistant line, where
CPU_Time depends linearly on the
No_of_IO variable. The
pair function's output in Example 3.2.9. Octane rating of gasoline blends indicated that the mileage of a car has strong correlations with the engine-related characteristics, such as displacement, horsepower, torque, the number of transmission speeds, and the type ...