The book includes discussions of regression diagnostics, robust regression, and bootstrapping. T. J. Hastie and R. J. Tibshirani, Generalized Additive Models. The book provides a fine general introduction to nonparametric regression. 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. Ch. 13 in K. Schuessler, ed. This chapter covers a variety of basic EDA methods. The discussion is high quality, and some of the material is novel, but the presentation is a bit terse. Worth a look, especially if you're pressed for time.