Ease-of-use is defined by different users in different ways. For some users, it means that analysis tools provide powerful features in a simple presentation. For others, it suggests fast data access and plotting - which enhances productivity. Yet for others, ease-of-use implies an intuitive design of the interface.
The following characteristics of scientific graphing and data analysis software encompass ease-of-use:
Easy, fast access of data
Access a wide variety of data in a large number of formats easily and quickly. Fast data import is particularly important for scientists who frequently work with large datasets.
Interactive and fast graphics
Provide data exploration tools that allow you to highlight, manipulate, and interact with plotted data. Additionally, the graphs should be easy to customize and they should update quickly as you make changes.
Simplified analysis tools
Provide a broad range of analysis tools that are easy to use but fully functional. A well-designed tool allows you to control all the aspects of the analysis through an intuitive interface.
Publication-quality output
Easily create powerful presentations within the software, or provide graphic export filters or OLE to place your graphs in a presentation software package. The scientific graphing and data analysis software should allow you to easily create reports, combining multiple graphs on the same page, as well as worksheets and text.
Automation of routine tasks
Automate routine or repetitive tasks using simple programming commands. The scientific graphing and data analysis software should allow you to build applications to meet your specific data analysis and plotting needs.