Part 1 Basics

Chapter 1 Prelude: Understanding data with gnuplot: A busy weekend; What is graphical analysis?; What is gnuplot?; Summary
Chapter 2 Essential gnuplot: Simple plots; Saving and exporting; Summary
Chapter 3 Working with data: Managing large data sets; Smoothing and summarizing data; Math with gnuplot; Data transformations; Plotting functions and data; Logarithmic plots; Summary
Chapter 4 Practical matters: Managing options; Data files; Strings; Generating textual output; Interacting with gnuplot; Summary

Part 2 Polishing

Chapter 5 Doing it with style: Choosing plot styles; Plot styles; Customizing styles; Summary
Chapter 6 Decorations: Quick start: minimal context for data; Digression: locations on a graph; Additional graph elements: decorations; The graph’s legend or key; Worked example: features of a spectrum; Overall appearance; Summary
Chapter 7 All about axes: Multiple axes; Selecting plot ranges; Tic marks; A worked example; Special case: time series; Summary

Chapter 8 Three-dimensional plots: Basics; Options for surface and contour plots; Coordinate axes and view point; Plotting data from a file using splot; Summary
Chapter 9 Color: Defining palettes; Creating colored graphs with palettes; Using color for data representation; Case studies; Summary
Chapter 10 Advanced plotting concepts: Multiplot; Higher math and special occasions; Curve fitting; Summary
Chapter 11 Terminals in depth: Exporting graphs to file; Common terminal options; Standard graphics file formats; Print-quality output; Interactive terminals; Other terminals; Summary
Chapter 12 Macros, scripting, and batch operations: Strings and string macros; Calling other programs from gnuplot; Calling gnuplot from other programs; Slideshows with pause and reread; Configuring your workspace; Gnuplot for the web; Summary

Chapter 13 Fundamental graphical methods: Relationships; Counting statistics; Ranked data; Multivariate data; Summary
Chapter 14 Techniques of graphical analysis: The core principle of graphical analysis; Iteration and transformation; Changing the appearance to improve perception; Housekeeping; Reminders for presentation graphics; Summary
Chapter 15 Coda: Understanding data with graphs