CSX_RProject_Summer_2018

July 2018 R data analysis bootcamp-style-course - 8N2033

Self introduction

Hi my name is Eric (王奕傑), Student ID 08359906.
I am enrolling in Singapore Management University, majoring in information systems, so this is kind of a way for me to prepare for the degree programme.

Been trying to pick up coding on my own, but find myself like a headless chicken. Did some Lynda.com courses on R but still glad to be able to attend a course that can provide me with more guidance and direction.

Progress Report

Week 1

• In class

  1. Installation and introduction
  2. Getting to know GitHub
  3. Utilising R Markdown to knit into html for better visualizations
  • Files
    • HTML File
    • R Markdown File

• At home

  1. Introduction to R on Data camp
  • HTML File
  • R Markdown File
  2. Intermediate R on Data camp
  • HTML File
  • R Markdown File
  3. Exploring DataFrames on Data camp
  • HTML File
  • R Markdown File
  4. Introduction to Tidyverse on Data camp
  • HTML File
  • R Markdown File
  5. Read the slides for the next lesson.

Week 2

• In class

  1. Understanding data visualisation
  2. Data visualisation exercise (Class activity)
  • Files
    • R script file
    • R Markdown file
    • HTML file
  3. Word cloud activity
  • Files
    • R script file
    • R Markdown file
    • HTML file

• At home

  1. Exploring Twitter API - Donald J Trump's last 100 tweets
  • R script
  • Wordcloud PNG image
  2. Exploring ggmap
  3. Read Prelesson articles.

Week 3

• In class

  1. Exploratory Data Analysis
  • Files
    • R Markdown file
    • HTML file
  2. TFIDF -> PCA -> K-means (Live coding)

• At home

  1. Correlation and Regression on Datacamp
  2. Text mining process using TFIDF, PCA and K means
  • Files
    • R script
    • R Markdown
    • HTML file

Week 4

• Class Assignments

  1. Further Exploratory Data Analysis - Correlations, T-test and ANOVA
  • Files
    • R script
    • R Markdown
    • HTML file
  2. Linear Regression Models
  • Files
    • R script
    • R Markdown
    • HTML file

Week 5

• In class

  1. Keynote presentation by Mr. Tony Song
  2. Learning Shiny by R studio.
  • Files
    • R file
    • Shiny app

• At home

Week 6

• Final Project
  • In collaboration with ruxiuhsiao and peiyingwu.
  1. Shiny app
  2. PPT
  3. Source code