Developing a Graphical Framework in R for Organizing Analytical Efforts

Over the past decade, data analytics and machine learning have emerged as an important research areas with practical applications in a range of fields, including engineering, social networking, and commerce. Many companies and researchers are using the abundant data available today to recommend purchases to consumers, predict the results of business actions and inform better decisions. Data analytics is the underlying foundation for data mining, business intelligence, and predictive analytics for the express purpose of generating useful information to support decisions. One of the principle tools for conducting statistical computing and graphics is the open source programming language R. This talk will present several different approaches to a data analysis project with an emphasis on developing the right framework for organizing an analytical effort. Inclusive will be covered several graphing and visualization tools that can be used to better make sense of the data and to present findings and results.

Speaker: Pramod Gupta UC Santa Cruz Extension

Editor's Note: This event was originally scheduled for March 22.