Explanatory Data Analysis with R

CLASS INFO

• Semester: Spring, 2018
• Class time/ Class room: -
• Text book: -
• Description: This material is used in the Statistical Data Processing course at the University of Seoul in 2018. Please be careful to use deprecated codes. Update plans are undecided.

CONTENTS

• Syllabus (slide)
• 1st week: Basic
  • Install R (slide)
  • Version control (slide)
• 2nd week: R-object
  • R-object I (slide)
• 3rd week: R-object
  • R-object II (slide)
• 4th week: R_programming
  • R_programming (slide)
• 5th week: Basic R-graphics
  • Plot, points, line (slide)
  • 3D plotting (slide)
• 6th week: Explanatory Data Analysis
  • Statistics and Visualization (slide)
  • R colors (slide)
• 7th week: Handling Text data
  • Text function (slide)
  • Text data analytics (slide)
• 8th week: Web Scraping
  • Web scraping (slide)
• 9th week: Data preprocessing
  • Data preprocessing (slide)
• 10~11th week: ggplot2
  • Network (slide)
  • ggplot: part 1 (slide)
  • ggplot: part 2 (slide)
• 12th week: visualization on map
  • Maps on R (sldie)
  • ggmap (slide)
• R code
  • R-object I
  • R-graphics
  • Statistics and Visualization
  • R colors
  • Text function
  • Web scraping
  • Data preprocessing
  • Network diagram
  • ggplot2
  • ggplot-exercise
  • map on R
  • ggmap
  • k-NN model selection
• Data file
  • (download))
• Homework
  • HW1