Data Visualization Platform (DVP) acts as a toolbox to MATLAB .
Actions on DVP are reflected inside MATLAB and vice versa .

Basic Features

Seamless Communication with MATLAB

  • Add/delete DVP Data Sources, Figures, and Selection Groups from MATLAB.
  • Send DVP Selection Groups to Matlab.
  • Retrieve DVP variables in MATLAB.
  • Matlab can access DVP system using regular web sockets.
  • Matlab cell and matrix variables can be exported to DVP.

Connection Has Never Been Easier!

As simple as 1, 2, 3,Done!

1- Download MATLAB files from here.
2- Add folders and subfolders to path .
3- Do some Magic!

Toolbox Functions

Simple and Straightforward Code

Add DVP DataSource
dvpCreateDataSource(data , dataSourceName)
Mandatory : data .

Plot DVP Scatter Plot
dvpScatter( dataSource , figureName , feature , numberofbins)

Plot DVP Matrix Plot
dvpMatrixPlot( dataSource , figureName , dimentions , groupsCol)
Mandatory:dataSource .

• Plot DVP ParallelCoordinates Plot
dvpParallel( dataSource , figureName , dimentions , groupsCol)

• Plot DVP Histogram
dvpHist( dataSource , figureName , feature , numberofbins)
Mandatory :dataSource.

• Create DVP Selection Group
dvpCreateSelectionGroup(Selection, DataSourceId , SelectionGroupName)
Mandatory:Selection,DataSourceId .

• Get DVP Figures Containers

• Get DVP Figures Names

• Get DVP DataSources Containers

• Get DVP DataSources Names

• Delete DVP DataSource
dvpDeleteDataSource( dataSourceName)
Mandatory : dataSourceName .

• Delete DVP Figure
dvpDeleteFigure( figureName)
Mandatory : figureName .

• Delete DVP Selection Group
Mandatory : SelectionGroupName .


download now

The Alpha version of DVP is now available for Windows