Data Importing Formats: Difference between revisions

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===Import Data Sources===
 


Data can be imported into PLS_Toolbox or Solo from a variety of sources using '''File>Import Data''' (or similar) in the [[Workspace Browser]], [[Analysis GUI|Analysis]], and [[DataSet Editor]] windows. Sources include:
Data can be imported into PLS_Toolbox or Solo from a variety of sources using '''File>Import Data''' (or similar) in the [[Workspace Browser]], [[Analysis GUI|Analysis]], and [[DataSet Editor]] windows. Sources include:

Revision as of 09:45, 2 August 2010


Data can be imported into PLS_Toolbox or Solo from a variety of sources using File>Import Data (or similar) in the Workspace Browser, Analysis, and DataSet Editor windows. Sources include:

  • Workspace/MAT file
  • Delimited Text File (CSV,TXT)
  • XY... Delimited Text Files (TXT,XY)
  • Excel File (XLS,CSV,TXT)
  • Experiment File (CSV, TXT, XLS)
  • Hamilton Sundstrand ASF File (ASF, AIF, BKH)
  • Hamilton Sundstrand PDF File (PDF)
  • Horiba JY Files (NGS, NGC)
  • Thermo Galactic File (SPC)
  • JCAMP [general] (DX,JDX)
  • Extensible Markup Language (XML)
  • Paste XML from Clipboard

Additional import methods may be available depending on the specific purchased options and the distributor of your copy of PLS_Toolbox or Solo. See other notes below.

Notes

  • Our image processing products MIA_Toolbox and Solo+MIA include additional image-specifc importers. See Constructing_Image_DataSets for more information.
  • The Experiment File import method is used to import multiple data files at once along with corresponding reference values. For more information on the Experiment File format and features, see the reference page for experimentreadr.
  • In some cases you may have to use the DataSet Editor to add additional information to your dataset. For instance, you may add labels and or axis scales after you've imported the raw data. See Key_GUIs for more information on using the DataSet Editor.
  • In cases involving n-way (multidimensional) data you man need to "build up" you dataset. More information about how to do that can be found here.