Resource Center
Data Blending and Cleanup
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Optimize Your Processes with Interactive Statistical ModelsLearn how to make sustainable, cost-effective, and data-driven decisions through model building.
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Using Design of Experiments (DOE) to Optimize and InnovateThis web seminar dives into the contrast between testing variables “one at a time” vs. “testing several” through Design of Experiments (DOE).
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Maximizing Insights, Minimizing Effort: Intuitive Data Visualization for Scientists and Engineers Explore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders.
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Principles of Graphing DataIn this webinar, we’ll discuss the principles of how to create good graphs and what makes one graph type better than another for conveying information.
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Gaining Insight into Diverse Chemical Challenges with Designed ExperimentsDuring the session, learn how DOE successfully overcame several diverse chemical industry situations that resulted in time and resource savings, scientific breakthroughs, and financial benefits.
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Six ways to make charts more obviousThere are a variety of ways that we can make our charts more obvious to audiences. In this except Nick Desbarats outlines six such ways.
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Accelerating Your Analytic WorkflowThis three-session webinar series provides practical tips, tricks and best practices to effectively prepare and analyze your data, and then share your data discoveries.
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Using Data Visualization for Better Decision MakingExplore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders
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When Spreadsheets Are Not Enough: Get More out of Your DataLearn how to gain insight into the relationships in higher dimensional data, using integrated data management, dynamic graphs and statistics.
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
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JMP takes the struggle out of data wranglingThis paper provides an introduction to the unglamorous, time-consuming, laborious, and sometimes dreaded “dirty work” of statistical investigations – data preparation. The good news: JMP can perform these operations with ease.