Resource Center
Data Visualization and Exploratory Data Analysis
- Data Visualization and Model BuildingIn this paper, Richard De Veaux, Williams College, explains how visualization and data exploration can be used to draw conclusions about sports performance as we age.
- 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.
- The Top 7 Myths That Lead to Really Bad GraphsIn this brief, we review seven of the most common misconceptions when visualizing data. When these myths are dispelled, your charts will be more effective and easier to design.
- 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.
- JMP and Analytics in BaseballIn this white paper, Sig Mejdal, Assistant GM of the Baltimore Orioles, discusses the proliferation of quants in the sport and explores how JMP has helped bring analytics to baseball.
- How data visualization facilitates the analytic workflowAdvancing scientific discovery and innovation with leaders from Calico, Lundbeck and SAS
- Thanks for the MemorySAS co-founder John Sall discusses how JMP 16 eases your burdens by remembering things for you.
- Empowering P&G employees to do text analysisScott Reese, from the Data & Modeling Science team at Procter & Gamble, explains how he uses text analytics to answer some of the company's most pressing data questions.
- Moving from Minitab to JMP: A Transition Guide, Version 2This guide explains how Minitab and JMP differ in the handling of descriptive statistics and visualizations. It is meant to ease the user’s transition from Minitab v19 to JMP 16 and JMP Pro 16. Focus is on the user interface, how tools are accessed, how analyses are performed, and the general workflow of the packages.
- University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
- HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
- SeagateJMP and JMP Pro are an integral part of wide-ranging data analysis techniques, statistical process control, reliability analysis, experimental design and modeling.
- NVIDIAManagement helps up-skill the workforce by integrating a free statistical analysis online learning resource.
- 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
- 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.
- 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.
- Effective Visualization Techniques for Data Discovery and AnalysisHow do you communicate highly technical data to a non-analytical audience? Find out how in this paper on best practices in data visualization.
- Statistics with JMP: Hypothesis Tests, ANOVA and RegressionAnother great instruction guide by Professors Peter Goos and David Meintrup! This chapter specifically covers discrete and continuous random variables, with a focus on bivariate probability distributions and densities.
- Moving From Minitab to JMP: A Transition GuideA practitioner's review of JMP vs. Minitab: unearth two different approaches to common statistical techniques and principles.
- 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.
- WildTrackConservationists monitor wildlife by tracking footprints.
- Three Ways to Create More Effective Data VisualizationsAuthor and distinguished info graphic expert outlines the three "must do's" for better visualizations. He also explains how he's used these techniques in his own work and shows how you can easily apply to yours.
- 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.
- Statistics with JMP: Graphs, Descriptive Statistics and ProbabilityNeed a better understanding of basic statistical theory and its applications? Let Professors Peter Goos and David Meintrup be your guide! An overview of descriptive statistics for nominal, ordinal and quantitative data, with particular attention to graphical representations is provided.
- 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 Change: An Innovation in Time-Series AnalysisData in motion: how good interactive graphs illustrate the shape, velocity and direction of change.
- 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.
- University of OregonAn innovative master's program propels young scientists to industry careers.
- University of MichiganBusiness school uses JMP for courses in introductory statistics and data mining.
- JanssenScientists build a tool to better detect and evaluate potential adverse effects in the R&D process.
- University of HyogoResearchers make impressive strides in social system engineering.
- Khaled bin Sultan Living Oceans FoundationA marine biologist uses predictive modeling to help prioritize conservation efforts.
- North Carolina Department of TransportationThe department makes strategic improvements with Lean Six Sigma.
- Hokkaido UniversityAn analytics course helps medical students develop transferable statistics skills.
- Stanford University School of MedicineResearcher uses JMP to explore associations between genetic markers.
- VillanovaA business school professor uses JMP Pro to advance an analytics curriculum.
- Johns Hopkins UniversityAtmospheric scientist Rich Giannola uses JMP to study El Niño and La Niña.
- USDA Animal and Plant Health Inspection ServiceScientists assess the risks of plant pest invasions and monitor their movements.
- Technical University of KošiceA campus-wide license makes it easy for any student or faculty member to use JMP in academic teaching, learning and research.
- Mario Negri Institute for Pharmacological ResearchEpidemiologist uses JMP to study aging, anemia, Alzheimer's and more.
- Chemistry MattersData visualization helps forensic chemists explain evidence to judges, juries, law enforcement and environmental agencies.
- University of GenevaGraduate students use JMP to learn the ins and outs of analytics in the business world.
- GlaxoSmithKlineScientists and engineers improve production processes.
- Mitsubishi Tanabe PharmaResearchers use JMP outputs to make pharmaceutical production processes more efficient and reliable.
- University of New HampshireFaculty integrate a free online learning resource into science and engineering course curriculum to better prepare students for industry careers.
- Shibaura Institute of TechnologyStudents and faculty members rely on JMP Pro to augment their use of statistical analysis in coursework and research.
- ArlendaArlenda uses JMP to help pharmaceutical companies establish more effective, less expensive development and manufacturing processes.
- Houston AstrosHow the losingest team in baseball found a competitive edge with analytics.
- Nanjing Sport InstituteA culture of statistical thinking permeates research and learning in epidemiology and exercise science.
- BASFChemists uncover a replacement for phosphates in dish detergent.
- Oklahoma State UniversityA business analytics master’s program takes a cue from industry partners.
- University of PennsylvaniaMBA students apply statistical methods to business challenges.
- North Carolina Museum of Natural SciencesBiologists team up with citizen scientists to build an important digital archive of mammal population distribution.
- Boston UniversityAt Boston University, custom JMP add-ins make statistics more interactive.
- San Diego ZooConservation scientists use JMP to develop new management strategies that have the potential to save endangered species.
- LufthansaLufthansa uses JMP improve flight schedules and keep customer satisfaction high.
- North Carolina State University Department of Industrial and Systems EngineeringAn industrial engineer analyzes data from designed experiments to study driver distraction.
- AlmirallData scientists build a data management standard for medical monitoring and regulatory compliance.
- Cranfield UniversityGraduate students in Strategic Marketing use data to drive successful segmentation, targeting and positioning strategies.
- Federal Aviation AdministrationThe FAA analyzes air traffic data to help planes keep their distance.
- J. Walter ThompsonMarketing analysts drive social media engagement and sales with JMP Pro.
- Tillotts PharmaAnalysts at Tillotts Pharma AG rely on JMP statistical discovery software from SAS to explore drug stability data.
- Davidson CollegeA sports analytics program helps the Davidson Wildcats up their game.
- Beijing AquariumWater quality engineers cut energy expenditure while furthering the Aquarium's conservation efforts.
- MenariniFormulation development technicians implement continuous improvement within the regulatory framework.
- US Department of Energy National Renewable Energy LaboratoryUS Department of Energy optimizes solar energy systems with JMP.
- TelefonicaMarketers use JMP dashboards to better understand consumer behavior.
- Beijing Children's HospitalData visualization software deepens collaborations between clinicians and statisticians.
- MedtronicAn R&D team develops a new, easily replicated methodology for evaluating medical device performance.
- Colorado Department of Public Health and EnvironmentAn epidemiologist uses data analysis to help patients living with HIV/AIDS reenter the care continuum.
- FreseniusFresenius uses JMP to streamline a medical device manufacturing process with innovative Visual Six Sigma thinking
- McDonald'sPredictive analytics helps anticipate trends.
- SK HynixA semiconductor giant creates efficiencies in technological development through machine learning.
- Nu SkinNu Skin developed an interactive JMP environment in eight months from concept to implementation.
- KraftKraft Foods deploys a unique software tool that cuts analysis time in half.
- CEA MarcouleAn R&D scientist uses DOE to speed research in nuclear waste conditioning.
- IpsenBiologists investigate biomarkers critical to the development of new cancer therapeutics.