These resources are a good place to start. Getting started with JMP is easy. Use these resources to get the most out of JMP, right from the start. The JMP Knowledge Base aka JMP Notes contains information on known problems Problem Notes associated with the software, common user errors, undocumented features, and circumventions and fixes for problems.
Be part of the SAS community. We offer a variety of ways for you to interact with users and experts. Learn JMP technology quickly and efficiently by taking a course from the analytics experts.
Develop core competency in applied problem-solving with data and statistics. In this course you'll learn how to map a process, define and scope your project, describe data with graphics and use interactive visualizations to find and communicate the story in your data. Learn world-class capabilities for statistics and visualizations for Genetic and all kinds of Omics data. Course topics include built-in and custom review templates, reports for demographics, findings, and events domains, and reporting tools.
For more in-depth information, read books written by JMP experts. Read technical papers to learn how to complete a task or achieve a goal. Find user's guides and other technical documentation for JMP. The GUI changed everything.
Instead of using keyboards, people could do much of their work with a pointing device, the mouse. Computing became not just easy, but actually fun. It became possible to identify patterns and outliers in data.
JMP allowed users to do this, and one of its original interface guidelines was to provide a graph for every statistic. In the s and s, engineers and analysts embraced information-based decision making and project-oriented improvement programs. They sought to improve product quality and process efficiency as markets became competitive globally. JMP became one of several principal tools in these wide-ranging initiatives. JMP embraced all the themes for industrial statistics: statistical quality control, reliability and design of experiments, or DOE.
DOE in JMP started as a simple add-on product to create classical designs, but it grew into a rich integrated environment for designing experiments that make the most efficient use of available resources.
JMP has the necessary tools to be at the heart of your quality program, providing a wide range of relevant graphical and statistical capabilities. You can monitor processes with the full set of control chart types in JMP or build control charts interactively with drag-and-drop tools in the unique Control Chart Builder.
With a workflow analogous to Graph Builder, Control Chart Builder lets you perform what-if analyses with your process data and explore many subgroup and phase variables and their effects on your processes. You see problems in ways that are impossible using static control charts. Understand process data quickly with the drag-and-drop flexibility of the Control Chart Builder. Create natural groupings visually to spot patterns and solve problems.
You can easily visualize sources of variation in your measurement process, evaluate product defects, and monitor processes for stability. JMP also lets you investigate out-of-control conditions and perform root-cause analysis. The Measurement Systems Analysis MSA platform provides an all-in-one method for assessing the variation in your measurement system and gauges.
Quickly screen thousands of processes to identify and focus on those that need extra attention. Analyze complex surveys with complete control of question structures, report presentation and statistical tests performed. No matter what role you play in the process, marketing is complex and rapidly evolving, driven by the influx of digital technologies.
Yet key business issues endure: the need to find the most profitable growth opportunities, develop the best products and services, take the best marketing action and maximize cross-business impact. To stay competitive, you need to socialize your brand, listen to customer feedback and then adapt your products and services. Whether you are conducting exploratory, descriptive or causal research using primary or secondary sources, JMP provides a comprehensive repertoire of tools for quickly and easily getting value from metric and nonmetric quantitative data.
No matter what your level of statistical expertise, JMP helps you find new consumer insights more quickly and allows you to communicate findings to other stakeholders to drive consensus and action. Once you have completed your sophisticated analyses, employing basic tools for visual analysis is often the best way to communicate results and motivate action. The interactivity of JMP gives you the tools to share the meaning in graphs and not just the graphs themselves, so you clearly communicate complicated results.
The Profiler, for example, lets you share the meaning of your models in ways that become immediately interpretable and useful. The person viewing your graphics in JMP knows what is in your data, and can ask questions and gain a deeper understanding of your findings and your models.
To communicate findings to people outside of JMP, your options are equally diverse. Generate PowerPoint presentations in a single click, or generate interactive output of many JMP reports that can be viewed quickly in any device with a browser. JMP can also create presentation- or publication-ready graphics in a multitude of file formats. Dashboards are a fast and easy way to show your results. You can also use the single-click Dashboard Builder feature to aggregate JMP reports into a presentation-ready dashboard.
Quickly surface selection filters in a single click to use one graph to filter another graph. Go from data to dashboard in a few clicks with the Dashboard Builder. Simply pick a template, drag-and-drop reports into the canvas, and then share your results with others.
Buying software that cannot grow beyond your initial needs leads to early obsolescence and expensive replacements. JMP includes many basic and advanced ways to mass-customize, even extend the software to address the unique challenges that arise as usage grows and your organization evolves. Power users can develop new functionality to solve problems that core JMP does not address. After writing scripts, use the full-featured JSL debugger to step through each line of code, interactively examining variables to determine what might be preventing a script from performing its intended function.
It's easier to work productively if you can configure your software to work the way you think. Consistent settings, graph output and even color palettes mean fewer steps to understanding data.
JMP gives you a comprehensive set of preferences that enable you to control fonts, graphic options and detailed settings within platforms. It's analysis the way you like it. You can choose to display only those analytic tools and menus you use routinely. In fact, you can customize every aspect of JMP, including:. The deep analytics, reporting and data management capabilities of SAS extend capabilities of JMP desktop software to the server and beyond. JMP makes it easy to reach out to these resources and bring back results for dynamic data visualization and analysis.
Does your data live in spreadsheets? Data Acquisition. Your data comes in many forms. Fortunately for you, JMP is hungry for data. Many types of flat sources e.
Web pages HTML tables. Data Cleanup. Easily clean up categorical data with Recode. Recode manually or automatically. Other tools for data cleanup in JMP include: Screening for outliers. Creating formula columns or derived variables; ratio columns or response transformations. Data property cleanup. Binning continuous data into discrete categories. Splitting strings of delimited text into multiple columns. Making indicator variables.
Standardizing attributes across many similar-type columns. Data Visualization. Graphs in JMP represent an interface to your data, not just a representation of it. Basic Data Analysis. Key capabilities in JMP for basic statistical analysis include: Histograms, box plots. Descriptive statistics. Distribution fitting. Fitting splines and curves to data. Statistical calculators and simulators; power and sample size calculation.
Group, Filter and Subset Data. Use local data filters in JMP platforms to focus on a subset of your data. Grouping and filtering tools in JMP include: Local and global data filters for focusing on specific parts of your data table, with or without conditional statements.
The ability to save favorite filter settings brings efficiency to routine filtering tasks. Easy-to-define row markers, colors and labels that enrich graphical reports and data tables. Column Switcher for swapping variables within a graphical or statistical report. Stepping through variables manually or by animation allows you to spot patterns and anomalies when you have hundreds of variables.
Easy creation of By variables in many analysis platforms generates multiple copies of the same analysis; multiple subset analysis in a single click. Transforms for generating derived variables on the fly. Stay in the flow while you are analyzing data and create many statistical or mathematical transformed columns of your data with a single click.
Graph filtering lets you use a graph to filter another graph. Design of Experiments. Who would ever do it the old way? Statistical Modeling. The Partition platform provides interactive classification and regression trees.
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