A Romanian translation of this page is avaliable thanks to Aleksandra Seremina courtesy of Azoft
A Polish translation of this page is available too.
A Slovakian translation of this page is available thanks to the Sciologness Team
Please note that translations of this page were contributed by third parties.
The purpose of SPT is to allow researchers to view raw data in a graphical format. SPT can produce high-quality graphical displays of data as .pdf, .ps and .png images. The goal is to encourage better data analysis by providing a tool that enables data to be easily viewed in a variety of different formats. SPT makes it easy to create standard lines plots, scatter plots and bar charts. Using SPT, it is also simple to create box plots, mean-value lines with 95% confidence intervals, and histograms to display distributions of data. Additionally, SPT has support for displaying trees (a standard data structure for many computer science applications).
Some features of SPT are:SPT is available either as a library for the Objective Caml language or as a binary which reads a simple (lisp-inspired) plotting language. Future releases are expected to have bindings allowing library access via C or C++ programs.
SPT is developed by the UNH Artificial Intelligence Group. The lead developers are Ethan Burns and Jordan Thayer who have their contact information posted on their websites.