|DataLab is a compact statistics package aiming at exploratory data analysis. Please visit the DataLab Web site for more information....|
|Home Introduction Introduction|
|See also: Concepts behind DataLab, Books on Data Analysis, Basic Skills, Internal Data Structure, Contents, Help, Example Data
The process of data analysis is usually a two-step process. First, the scientist has to explore the inner structure of the data in order to get an idea on how to further process it. Secondly, a specific model has to be set up which provides a satisfying relationship between measured and target variables. DataLab certainly puts emphasis on the first aspect of data analysis; it could be classified as a program for exploratory data analysis.
DataLab is quite different from other statistical packages in that it does not claim to cover all statistical techniques. Moreover, DataLab has been deliberately designed to be not a full-featured, blown-up package but rather to be a handy and easy-to-use tool in everyday work with experimental data. It provides only some of the more fundamental methods and the selection of these methods has certainly been guided by a personal need of the author. Therefore DataLab provides tools for both the visualization and interpretation of data.
The system is based on a powerful but easy-to-use graphical user interface. DataLab provides a collection of important methods to edit, visualize and interpret numeric data.
These are some of the features of DataLab: