to produce them. We think this approach is especially useful for JMP users who have a good idea of what they want from JMP and just need the steps to create it.
● When appropriate, we provide an example-driven context for each JMP platform that explains its use, value, and general application to problems. We have tried to distill these contexts down to typical or easy-to-understand cases.
● We organize the contents into easily manageable chunks of information. While the entire book is designed to cover a fairly complete overview of the basics, each chapter represents one family of tasks (such as importing data, creating graphs, and sharing graphs).
● We hope you will keep this book near your computer. Within each chapter, we have designed each section to be self-contained enabling you to quickly find and execute the steps required to complete your task.
● No matter what your professional background, this book assumes only that you have a basic working knowledge of Microsoft Windows. Virtually all of the information in this book applies to using JMP on the Macintosh operating system, but only the Windows version of JMP is used in the examples.
Software Used to Develop This Content
This third edition of JMP Essentials was developed with JMP 15. Users of JMP Pro, JMP Student Edition or earlier releases of JMP will find nearly all of the instructions in this book suitable for their needs.
Organization
This book is designed like a cookbook. Find what you need and follow the steps. We have organized the contents of this book to reflect both the process of analyzing data (getting data, analyzing it, and sharing the results) and the progression from the very basic features in JMP to more specialized ones. We hope this organization offers the most value to the reader. Much of our judgment in this regard comes from our experience working one-on-one with new JMP users.
● Chapter 1 covers the preliminary material you will need for the rest of the book. The chapter identifies the conventions we use and introduces you to JMP menus, windows, and preferences.
● Chapter 2 covers the first step in any analysis: getting your data into JMP. With the exception of some material in Chapter 2, other chapters are self-contained, and you can read them in any order.
● Chapters 3 through 6 cover graphing and analysis:
◦ Chapter 3 is for the user who knows what graph he or she wants.
◦ Chapter 4 is for the user who does not know what the data says and needs to explore it to find an appropriate graph or summary. This chapter introduces maps.
◦ Chapters 5 and 6 are for the user who needs to solve a problem and answer questions using analytics and graphs.
● Chapter 7 covers topics related to sharing your graphs or results in a presentation, document, or through a browser.
● Chapter 8 covers additional resources that are available within JMP, online, and from outside resources, such as training, books, and user groups.
Figure 1 Chapter Organization
New to the Third Edition
It is gratifying to hear that previous editions have been useful to many new users of JMP. Our goal in writing this third edition is two-fold; first, to improve upon the core features and to that end, we have made many refinements, corrections and additions throughout the book based on feedback from users, colleagues, and reviewers. Secondly, in the five years since the second edition was published, JMP has added several important new features that we believe are Essential to the new user and we thought should be included. While there are many changes throughout the book, here is our Top Ten:
• Getting data out of database is a common task. Query Builder provides an easy, point and click interface to extract needed data. It also automatically creates SQL code that you can reuse on new data.
• An example of Join by matching columns is included. This is imperative when combining data tables where data in the tables to be joined is not in the same row order or does not have a one-to-one match.
• New graphs including Packed Bars, Parallel Plots, and Dot plots. JMP has been an innovator in visualization for many years. This continues with Packed Bar charts that are useful to summarize categorical variables with many (hundreds) of levels. Parallel plots are a useful way to express multivariate data. Finally, dot plots have been added. These plots commonly used in introductory statistics courses are simple but useful alternatives to histograms.
• Using Text Explorer to create a Word Cloud to visualize un-structured text that might arise as a result of customer comments, product reviews, or warranty claims for example.
• A new section, Comparing Two Continuous Columns, presents an introduction to simple linear regression analysis, which provides an equation for a line fit to the data. This equation provides a slope that defines the magnitude of the increase (or decrease) in a response column as the predictor column increases.
• Expansion of the discussion of the Fit Model platform and Prediction Profiler to include both continuous and categorical inputs.
• Revised information about the JMP Dashboard Builder. Combining multiple graphs and even filters into a single window, or dashboard, has been greatly improved and illustrated in this section.
• JMP Public or JMP Live for use in publishing reports. This edition introduces these new products and ways to share interactive graphics and results with those who may not have JMP.
• Recording animated graphs for exporting to PowerPoint for presentation. This is an alternative to flash objects that appeared in the previous edition but will no longer be supported by Adobe.
• A more detailed look at the JMP website and the myriad of tools available for obtaining more information about the software from the JMP team and other JMP users like yourself.
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About the Authors
CURT HINRICHS joined SAS in 2006 to develop and launch the JMP Academic Program that provides faculty, researchers, and students with easy access