![]() ![]() See several case studies that demonstrate different techniques to create compelling graphs that uncover relationships in your data and identify areas for further analysis. Advanced features allow you to control format and appearance to create persuasive visualizations. The drag-and-drop interface is intuitive, lets you get started quickly and gives you a ribbon of options to use to select alternate graph types. JMP produces specialized graphs and plots with supporting tables, statistics and maps. See how formulas are linked to, or dependent on, values in other columns and how those values will be automatically recomputed when values change. Learn how to build formulas that are simple assignments of numeric, character or row state constants, or complex evaluations based on conditional clauses. See how to use JMP's powerful, easy-to-use Formula Editor to create columns with values computed by a formula and store the formula as part of column information. Using Formulas to Get the Most from Your Data It covers dynamic linking, visual analytics, Fit Model and the Profiler. This topic walks through a case study showing the basics of analysis using JMP. Whether you are searching for relationships, patterns or outliers, learn how to look at your data to gain critical insights. JMP is the perfect tool for exploring data. Getting Beyond Spreadsheet Analytics with Visual Data Discovery Topics may include: importing data from Excel, text files and databases Query Builder Recode Selecting Matching Cells Name Selection in Column Value Labels data compression, Stack/Split and Join. See how to rearrange data to meet any analysis challenge. JMP makes this process easy with powerful data manipulation capabilities. In any analysis problem, most of your time is spent preparing the data for analysis. ![]()
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