Visualization is critical to data analysis. It provides a front line of attack, revealing intricate structure in data that cannot be absorbed in any other way. We discover unimagined effects, and we challenge imagined ones.
There are two components to visualizing the structure of statistical data — graphing and fitting. Graphs are needed, of course, because visualization implies a process in which information is encoded in visual displays. Fitting mathematical functions to data is needed too. Just graphing raw data, without fitting them and without graphing the fits and residuals often leaves important aspects of data undiscovered.
KeywordsPacked Cell Volume Graphical Display Paint Sprayer Blood Pressure Data Average Systolic Blood Pressure
Unable to display preview. Download preview PDF.