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The following list shows you the most important features of Epina DataLab:

Data Processing

  • various methods to import and export data
  • support of nominal, ordinal and interval measurement scales
  • built-in numerical data editor
  • name generator
  • sorting and mixing of data
  • support of missing data
  • matrix clipboard allows flexible reorganisation of data
  • curve digitizer allows to convert printed diagrams into digital data
  • automation of the analysis by programmability

Math and Statistics

  • a built-in math calculator can be used to transform the measured data
  • univariate descriptors and frequency tables
  • a rich set of options for scaling the data
  • statistical tests (t-test, ANOVA, F-test, Kolmogorov-Smirnov, Dean-Dixon, correlation test, etc.)
  • linear regression (straight line, polynomial, hyperbola, logarithmic, etc.)
  • cross correlation table
  • multiple linear regression
  • selection of variables
  • detection of multicollinearities
  • ridge regression
  • principal component analysis (PCA)
  • principal component regression (PCR)
  • partial least squares regression (PLS)
  • linear discriminant analysis (LDA)
  • PLS discriminant analysis (PLS-DA)
  • random forests
  • self organizing map (SOM, Kohonen map)
  • KNN modelling (memory based learner)
  • hierarchical clustering (dendrograms)
  • kMeans and fuzzy cMeans clustering
  • random number generator with configurable distribution of random numbers
  • Fast Fourier Transformation
  • filter and smoothing
  • time series visualization and analysis

Visualisation of Data

  • displayed windows are freely configurable in size and colors
  • a large number of chart types: point plots, line plots, spectra, x-y plots, contour lines, principal components, histograms, Pareto charts, table survey, etc.
  • scatter plots allow to recognize relationships among variables
  • color maps to visualize three-dimensional relationships
  • data can be labeled by additional class information
  • zoom and pan of data
  • the axes and the titles of the graphs as well as single data items can be labeled almost arbitrarily
  • on-screen 3D-rotation of data


  • update function to obtain free updates automatically
  • Scriptsprache (DLabPascal) zur Automatisierung von Analysen
  • control of DataLab features by external programs
  • each data set can be accompanied by an HTML based comment of any length