SAS Institute, 1991. A Second Course in Applied Statistics . The book includes discussions of regression diagnostics, robust regression, and bootstrapping. D. Hoaglin, F. Mosteller, and J. Tukey, eds., Understanding Robust and Exploratory Data Analysis and Exploring Data Tables, Trends, and Shapes. An interesting pair of volumes that provides the mathematical and statistical background for many EDA methods, as well as some new material and a nice introduction to the theory of robust estimation.
Parts are relatively difficult.
I found the first volume of greater interest than the second. W. Jacoby, Statistical Graphics for Univariate and Bivariate Data and Statistical Graphics for Visualizing Multivariate Data . The second volume includes a useful appendix on software for statistical graphics. Ch. 13 in K. Schuessler, ed. This chapter covers a variety of basic EDA methods.