Data Visualization and Exploratory Data Analysis
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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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Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsThis multi-part, on-demand webinar series is designed to move your analytics processes out of the average spreadsheet and into the quick, dynamic analysis and visualization tools in JMP!
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Beyond Spreadsheets Part 2: Graph Builder: The Two Laws of AnalyticsJoin us as we discuss the fantastic capabilities of Graph Builder: an easy-to-use, world-class data visualization tool.
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Session 5: Sharing ResultsDuring this webinar, Jeff Upton discusses how easy it is to share your results with others, JMP user or not.
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Session 4: Basic Analysis and Modeling | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Jordan Hiller demonstrates simple techniques for building models and the enriching insight gained from those models.
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Session 3: Data Visualization | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Clovis Weisbart will show you the importance of using appropriate visualizations to share your results.
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Session 2: Data Preparation | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Wendy Tseng will identify ways to restructure your data table to get it ready for analysis and show you other time saving tips and tricks!
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Session 1: Accessing Data | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Alisa Hunt-Lowery demonstrates how to easily access data from Excel and ways to get data into JMP to move your data from insight to discovery more efficiently.
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How data visualization facilitates the analytic workflowAdvancing scientific discovery and innovation with leaders from Calico, Lundbeck and SAS
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Find meaning with purpose-driven analyticsChange agents from many fields use statistics to solve pressing world issues
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Why interactive data visualization is critical to industryMARELLI, Coloplast and Bluepharma make data visualization a central tenet of problem solving and innovation
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Faster Insights Through Automated Clustering and Visualization: A Case Study Using MLB DataIn this 30-minute webinar, Sig Mejdal, VP and Assistant General Manager for the Baltimore Orioles, demonstrates how clustering and data visualization techniques can be used to automatically detect hidden patterns in data.
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Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
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Data visualization best practices can transform the work of scientists and engineersInsights from experts at W.L. Gore and SAS on how to gain momentum for your ideas and inform strategic decision making
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The Judgment Calls We Make in Dashboard DesignNick Desbarats, information dashboard expert, explains why our charts are biased and how to design graphs that are useful to your audience.
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Accessible, Intuitive Statistics for Scientists and EngineersSAS co-founder John Sall invented JMP with the goal of making statistics friendly and informative. Here's how and why he did it.
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What Does It Take to Effect Change With Analytics?Jin-Whan Jung, leader of the SAS Advanced Analytics Lab, on why it's not enough to have the best analytic result.
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Why We All Need Data Science SkillsTechnology engineer David Kriesel says every team needs a few people who have a clue about data science.
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Analytical Thinking and Problem Solving: The Mindset for SuccessGreg Nelson, CEO of ThotWave, describes the practical considerations and real-world competencies your organization needs to do analytics well.
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How P&G Saved Millions and Improved Quality With AnalyticsFormer P&G engineer talks about using technical expertise and analytics to save hundreds of millions of dollars.
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Modern Clinical Monitoring And Quality By DesignLearn the Impact of regulatory guidance on Analytics, the Modern Techniques in Clinical Trial Monitoring and how to use QbD to increase clinical understanding.
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Tackling Unstructured Data With Text ExplorationBecome a more efficient data wrangler! See how one consultant organizes his unstructured data to see linkages between word usage and document of origin.
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Want to Make More Effective Graphs?Data visualization expert Xan Gregg talks about the elements of good graphs.
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How to Reduce Costs Through Visual AnalysisSee how one hospital network used visual analysis techniques to explore factors leading to high costs and compromised care.
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Exploring Your Data With Custom MappingFind your "quantified self"! See how custom maps can be created and used to track personal data in new and interesting ways.
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Best Practices in Data VisualizationDoes your graph need a makeover? Listen in to find out techniques for creating an effective graph. Even the simplest data set can be transformed into a compelling case study.
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How to Save Time With Repeatable AnalysesIs it possible to automate the entire analytic life cycle? Yes! Find out how in this case study from one biotech company.
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Going Beyond Spreadsheet Analytics With Visual Data DiscoveryHow do you uncover the information you miss by using spreadsheets alone? This case study will explain how to augment your existing tools and processes for exploratory data analysis to see what you may have been missing.
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Use Data Exploration for a Competitive AdvantageAuthor Phil Simon on why we should promote an exploratory mindset.
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Solutions to Data Preparation ChallengesSAS co-founder John Sall talks about ways to make data prep and analysis easier.
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The Key to Good GraphsHoward Wainer on telling better stories with data.
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Visual Six Sigma: A Case StudySee how three Visual Six Sigma strategies are put in practice to better understand the reasons behind the failure of a pill production line.
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Want to Innovate? The One Question You Must AskMIT Research Fellow Michael Schrage gives new ideas for creating value at work.
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Visualizing Response SurfacesExplore the benefits of interactive data visualization on response surface modeling with John Sall, creator of JMP.
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Moving from SPSS to JMPTransitioning from SPSS to JMP? See how each software handles descriptive statistics, visualizations, bivariate tests, contingency tables and model building.