Statistical data is only as valuable as your ability to analyze, interpret, and present it in a meaningful way. Gnuplot is the most widely used program to plot and visualize data for Unix/Linux systems and it is also popular for Windows and the Mac. It's open-source (as in free!), actively maintained, stable, and mature. It can deal with arbitrarily large data sets and is capable of producing high-quality, publication-ready graphics.
So far, the only comprehensive documentation available about gnuplot is the online reference documentation, which makes it both hard to get started and almost impossible to get a complete overview over all of its features. If you've never tried gnuplot "or have found it tough to get your arms around "read on.
Gnuplot in Action is the first comprehensive introduction to gnuplot "from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poorly-explained areas. You will learn how to apply gnuplot to actual data analysis problems. This book looks at different types of graphs that can be generated with gnuplot and will discuss when and how to use them to extract actual information from data.
One of gnuplot's main advantages is that it requires no programming skills nor knowledge of advanced mathematical or statistical concepts. Gnuplot in Action assumes you have no previous knowledge of either gnuplot or statistics and data analysis. The books starts out with basic gnuplot concepts, then describes in depth how to get a graph ready for final presentation and to make it look "just right" by including arrows, labels, and other decorations.
Next the book looks at advanced concepts, such as multi-dimensional graphs and false-color plots "powerful features for special purposes. The author also describes advanced applications of gnuplot, such as how to script gnuplot so that it can run unattended as a batch job, and how to call gnuplot from within a CGI script to generate graphics for dynamic websites on demand.
Gnuplot in Action makes gnuplot easy for anyone who needs to do data analysis, but doesn't have an education in analytical tools and methods. It's perfect for DBAs, programmers, and performance engineers; business analysts and MBAs; and Six-Sigma Black Belts, and process engineers.
What's Inside:
Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
"synopsis" may belong to another edition of this title.
Philipp K. Janert is Chief Consultant at Principal Value, LLC. He has been a gnuplot user for more than 15 years and regards it as one of the indispensable tools in his toolbox. He has worked for small start-ups and in large corporate environments, both in the US and overseas, including several years at Amazon.com, where he initiated and led several projects to improve Amazon's order fulfillment processes. Philipp K. Janert has written about software and software development for the O'Reilly Network, IBM developerWorks, IEEE Software, and Linux Magazine. He holds a Ph.D. in Theoretical Physics from the University of Washington. Visit his website at www.principal-value.com.
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Softcover. Condition: Fair. Spuren von Feuchtigkeit / Nasse; Leichte Rillen / Abschurfungen / Risse / Knicke. Statistical data is only as valuable as your ability to analyze, interpret, and present it effectively. Gnuplot is a widely used program for plotting and visualizing data across Unix/Linux, Windows, and Mac systems. As an open-source tool, it is free, actively maintained, and capable of handling large datasets while producing high-quality graphics suitable for publication. However, comprehensive documentation has been lacking, making it challenging for newcomers to grasp its full potential. This book serves as the first thorough introduction to gnuplot, covering everything from basic concepts to advanced features. It provides a tutorial on using gnuplot to extract insights from data, focusing on tricky areas that are often poorly explained. Readers will learn to generate various types of graphs and understand when to use them effectively. Notably, gnuplot requires no programming skills or advanced knowledge of mathematics or statistics, making it accessible for those without a background in data analysis.Beginning with fundamental concepts, the book guides readers through preparing graphs for presentation, including enhancements like arrows and labels. It also delves into advanced topics, such as multi-dimensional graphs and scripting gnuplot for batch jobs or dynamic website graphics. This resource is ideal for individuals in various fields, including DBAs, programmers, business analysts, and process engineers. Purchasi. Seller Inventory # b03d85c5-c812-43d1-8b6d-1925a75a12ff
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