Chapter 1. Introduction

Project-based management of data

Project-explorer for management and organization of created objects in different folders and sub-folders

Spreadsheet with basic functionality for manual data entry or for generation of uniform and non-uniform random numbers

Import of external ASCII-data into the project for further editing and visualization

Export of spreadsheet to an ASCII-file

Worksheet as the main parent object for plots, labels etc., supports different layouts and zooming functions

Export of worksheet to different formats (pdf, eps, png and svg)

Great variety of editing capabilities for properties of worksheet and its objects

Cartesian plots, created either from imported or manually created data sets or via mathematical equation

Definition of mathematical formulas is supported by syntax-highlighting and completion and by the list of thematicaly grouped mathematical and physical constants and functions

Investigation of plotted data is supported by many zooming and navigation features

Several analysis functions and methods for data reduction, differentiation, integration, interpolation, smoothing, (nonlinear) fitting, Fourier filter and Fourier transform

Linear and non-linear fits to data, several fit-models are predefined and custom models with arbitrary number of parameters can be provided

Supports many CAS backends like Maxima, Python, KAlgebra, Sage

Nice Worksheet view for evaluating expressions

Easy plugin based structure to add different Backends

Plugin based assistant dialogs for common tasks (like integrating a function or entering a matrix)

Datapicker for manual or (semi-)automatic data extraction from imported images containing plots and curves.