Maple's Data Sets package provides easy access to data from various built-in and online data sources. In this video, we will walk through examples of working with several types of data in Maple, including visualizing stock and commodity data, forecasting future temperatures using weather data, and analyzing macroeconomic data, such as employment statistics, GDP and other economic indicators.
Maple Math Apps provide demonstrations that illustrate various mathematical and scientific concepts. The following are live examples that can be interacted with online, or downloaded for use in Maple or the free Maple Player.
For many years, technology has proved its usefulness in the mathematics classroom. Advances in symbolic computation and user interface design have resulted in tools that make it easy for instructors and students to explore concepts, experiment with ‘what if’ scenarios, visualize results, and solve engaging real-world problems. Statistics classrooms have also made use of technology, but unfortunately many of the traditional tools are harder to use, less advanced, or less flexible than those available for mathematics, making it more difficult for both students and instructors to achieve the same benefits.
With the ever-expanding sea of available data and data repositories, navigating the vast quantities of information can be a difficult task. Maple, the advanced computing software from Maplesoft, is a powerful, interactive data visualization tool.