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Getting and Cleaning Data

Just run the script, thats it. It downloads the zip file and unzips it, loads the documents and does the analysis. Returns what was asked. Creates two text documents, merged_data.txt which merges training and test set, properly named with activities and only mean and standard deviation variables.

Step by step:

  • libarary dyplr loaded
  • data downloaded
  • data unzipped
  • train and test set merged
  • variables renamed
  • activities added
  • variables filtered: only mean and std measures
  • duplicate variables removed
  • output created
  • summary table calculated, per user and activity

easiest is to run source() with the print.eval=TRUE option

Copyright Denis V.

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