Data Visualization and Exploratory Data Analysis
- Murata Electronics: Leveraging Data skills to drive Innovation and Quality across your organizationWatch this video and hear from industry leaders to learn how they have evolved into a culture of analytics. You will be inspired to forge a similar path within your own organization.
- Using Data Visualization for Better Decision MakingExplore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders
- 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!
- Fujifilm: Making better data-driven decisions in Science and EngineeringLilian Monahan from Fujifilm will share how exploratory data analysis enables continuous improvement of processes and allows non-data scientists to better understand and communicate their findings, while also getting a clear visualization.
- 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.
- Session 5: Sharing ResultsDuring this webinar, Jeff Upton discusses how easy it is to share your results with others, JMP user or not.
- Session 4: Basic Analysis and ModelingDuring this session, Jordan Hiller demonstrates simple techniques for building models and the enriching insight gained from those models.
- Session 3: Data VisualizationClovis Weisbart shows you the importance of using appropriate visualizations to share your results.
- Glean and Visualize Deeper Insight from Your DataHear best practices from Procter & Gamble and Michelin! Gaining skills around a multistage process of turning data into useful insights is key. You will see how interactive, no-code analytics enable any scientist or engineer to turn data into actionable insights with a combination of data preparation.
- Session 2: Data PreparationWendy Tseng identifies ways to restructure your data table to get it ready for analysis and shows you other time-saving tips and tricks!
- Session 1: Data AccessAlisa Hunt-Lowery demonstrates how to easily access data from Excel and ways to get data into JMP to move from insight to discovery more efficiently.
- Importing, Consolidating & Maximizing the Value of Excel Data
- Statistical Exploration for Research & DevelopmentIn this on-demand webinar, Jordan Hiller demonstrates how to visualize data and drill-down to gain insight quickly.
- How data visualization facilitates the analytic workflowAdvancing scientific discovery and innovation with leaders from Calico, Lundbeck and SAS
- Find meaning with purpose-driven analyticsChange agents from many fields use statistics to solve pressing world issues
- 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.
- Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
- 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.
- 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.
- 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.
- Why We All Need Data Science SkillsTechnology engineer David Kriesel says every team needs a few people who have a clue about data science.
- 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.
- 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.
- 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.
- Want to Make More Effective Graphs?Data visualization expert Xan Gregg talks about the elements of good graphs.
- 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.
- 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.
- 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.
- 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.
- 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.
- Use Data Exploration for a Competitive AdvantageAuthor Phil Simon on why we should promote an exploratory mindset.
- Solutions to Data Preparation ChallengesSAS co-founder John Sall talks about ways to make data prep and analysis easier.
- The Key to Good GraphsHoward Wainer on telling better stories with data.
- 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.
- Want to Innovate? The One Question You Must AskMIT Research Fellow Michael Schrage gives new ideas for creating value at work.
- Visualizing Response SurfacesExplore the benefits of interactive data visualization on response surface modeling with John Sall, creator of JMP.
- Moving from SPSS to JMPTransitioning from SPSS to JMP? See how each software handles descriptive statistics, visualizations, bivariate tests, contingency tables and model building.