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R

Info634 DATA ANALYTICS & BUSINESS INTELLIGENCE

Week 2 Data management

  • reading a local/remote files with different formats
  • data mutation e.g., add/remove column; recoding; sorting
  • export data
  • selecting rows and columns
  • summarizing
  • merging files
  • correlation & linear regression
  • conn to mysql

Week 3 Data visulisation

Additional lab - Features & Trees

  • Read Titanic data
  • Exploratory data analysis e.g., What percent survived? what percent of each gender survived?
  • ggplot - whehter Pclass affect the survival rate?
  • Build the decision tree & plot the tree
  • Training/Testing splitting for evaluation
  • Further learning for randomforest; corssvalidation

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