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Data Cleaning using R - English

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Outline:
Data Cleaning using R

About data cleaning.
About need for data cleaning.
Reading data from a text file.
Converting a list to vector using the unlist().
Split the elements of a character vector into substrings using strsplit().
Need for type conversions.
Convert raw data to a dataframe.
Removing the NA values.
Replacing the NA values with 0.
Encoding values to factors.
Width:894 Height:662
Duration:00:10:57 Size:5.7 MB

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Pre-requisite

Unsupervised Learning

  Assignment

Code files

  • Data-cleaning-Code-files/
  • Data-cleaning-Code-files/airquality.txt
  • Data-cleaning-Code-files/DataCleaning.R
  • Data-cleaning-Code-files/.Rhistory
  • Data-cleaning-Code-files/.RData

Script

Slides

  • Slides-Data-cleaning-using R/
  • Slides-Data-cleaning-using R/Data Cleaning.tex
  • Slides-Data-cleaning-using R/fossee-logo.png
  • Slides-Data-cleaning-using R/St-logo.png
  • Slides-Data-cleaning-using R/Data Cleaning.pdf

  Additional reading material