If you are looking for a powerful and user-friendly software for data visualization and analysis, you might want to try SAS JMP Statistical Discovery 9.0.2. This software is designed for dynamic data exploration and analytics on the desktop, and it enables you to access and process data, perform statistical analysis, design experiments, create graphs and charts, and share your results online.
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In this article, we will show you some of the features and capabilities of SAS JMP Statistical Discovery 9.0.2, and how you can use it to uncover meaningful patterns and insights from your data.
SAS JMP Statistical Discovery 9.0.2 is the latest version of JMP, a statistical software package developed by SAS Institute. JMP stands for "John's Macintosh Project", as it was originally created by John Sall, one of the founders of SAS, for the Macintosh platform in 1989. Since then, JMP has evolved into a cross-platform software that runs on both Mac and Windows operating systems.
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JMP is designed to help you see and explore data, spot relationships and trends, and dig into areas of interest. It offers a rich set of comprehensive capabilities for statistical analysis, such as:
- Univariate and multivariate linear and nonlinear analysis
- ANOVA, MANOVA and ANCOVA
- Time series analysis
- Multivariate optimization and Monte Carlo simulation
- Hierarchical and k-means clustering
- And many more
JMP also provides tools for data access and processing, such as importing data from various sources, transforming and cleaning data, creating new variables, filtering and sorting data, etc.
One of the most distinctive features of JMP is its interactive and graphical user interface, which allows you to create stunning visualizations of your data with just a few clicks. You can choose from a variety of graphs and charts, such as histograms, box plots, scatter plots, contour plots, bubble plots, etc., and customize them with colors, labels, legends, etc. You can also use JMP's dynamic linking feature to link multiple graphs together, so that when you select or highlight a point or a group in one graph, the corresponding points or groups in other graphs are also selected or highlighted.
JMP also enables you to share your analyses and visualizations with others in an online space designed for interactive collaboration. You can use JMP Live to publish your reports to the web, where others can view them on any device with a web browser. You can also use JMP Pro to access advanced analytics features such as predictive modeling, text mining, machine learning, etc.
To use SAS JMP Statistical Discovery 9.0.2 for data visualization and analysis, you need to first download and install the software on your computer. You can get a free trial version of JMP from here, or purchase a license from here.
Once you have installed JMP on your computer, you can launch it by double-clicking on its icon on your desktop or in your applications folder. You will see the JMP Home Window, which is the main interface of JMP where you can access all its features and functions.
To start analyzing your data with JMP, you need to first import your data into JMP as a data table. You can do this by clicking on File > Open > Data Table... in the menu bar, and then browsing to the location of your data file on your computer or network drive. You can also drag and drop your data file onto the JMP Home Window.
JMP supports various data formats such as Excel, CSV, TXT, XML, JSON, etc., as well as databases such as Oracle, SQL Server, MySQL, etc. You can also connect to web services such as Google Sheets or Dropbox to import 8cf37b1e13