*Students will be provided with an installation guidance of R and R studio.
Day 1 Data Analysis Using R
- Topic 1 Knowing Your Data
- Basic Stats: Mean, Median, Mode, etc
- Basic Graphs: Histogram, Box Plots, Scatter plots, etc
- Topic 2 Commonly Used Data Types in R
- Vectors, Matrices, Factors, Data Frame, List, etc
- Hands-on Examples
- Topic 3 The Basic Data Manipulation That You Must Know
- Import/Export
- Rename
- Subset and Merge
- Missing Values and NA
- Topic 4 Learn to Code
- If-else Statement
- For loop and While loop
- Lapply and Sapply
- Plotting using Base Package
- Topic 5 Case Studies
Day 2 Shine Yourself with Data Visualization
- Topic 1 Recap on Data Manipulation with Examples
- Topic 2 Why is ggplot2 Fantastic?
- Comparison Between ggplot2 and Base Packages
- What can ggplot2 do?
- Topic 3 Basic Graphing Activities
- Line Plots
- Box Plots
- Pie Charts
- Histogram
- Scatter Plots
- Topic 4 How Can Your Graphs Standout
- Customisation of Color, Shape, Size, Label, Legend, Axes, Themes etc
- Magic Package dplyr
- Multi-plotting
- Topic 5 Case Studies