Statistical Methods A Visual Approach 2017

Statistical Methods A Visual Approach 2017 is a seminar that covers topics such as:

• Examples of data visualizations for compliance and regulated industries
• Ntroduction and definitions
• Characteristics of data
• Historical context
• Human side of data visualization
• Interactive data visualization exploration with Excel and websites
• Data visualization methodology
• Principles of good graphic design
• Univariate plots
• Software introduction: JMP
• Pie graphs, violin plots, pareto plots, box plots
• Distributions and histograms
• Mulitvariate plots and heatmaps
• Conditional formatting
• Multivariate scatterplots and density graphs
• Correlation
• Categorical data plots: treemaps, mosaic plots
• Contour plots
• Software introduction: Tableau Public
• Software introduction: R
• Multivariate plots with R and Tableau
• Univariate plots with R and Tableau
• Brushing, dynamic linking, and filtering
• Dynamic and interactive graphs
• Time series plots
• Profilers on response variables and optimization
• Sparklines and trend lines
• Waterfall plots
• Maps
• Statistical Process Control charts
• Dashboards
• Text data visualization

Statistical Methods A Visual Approach 2017 brings together:

• Research Scientists
• Data Analysts
• Regulatory/Compliance Professionals
• Quality Professionals
• HR Professionals
• Laboratory Managers
• Design and Development Engineers
• Project Managers
• Process Owners
• Software Engineers
• Quality Auditors
• Quality Engineers
• Process Scientists/Engineers
• Medical Affairs Professionals