The main difference between R and Python : Data Analysis Goal
- R is the preferred choice for statistical analysis and data science
- Python provides a more general approach to data wrangling
Statistical Software at HKUST(GZ)
Software |
Licence |
Strength |
Weakness |
R

|
Free and Open-source |
- More intuitive for statisticians and data scientists
- better suited for statistical learning
- variety of add-on packages available for all types of analysis
- ideal for visualizing data in beautiful graphics
|
- no standard help resources
- steep learning curve
|
MATLAB

|
Requires a license |
- More intuitive for engineers and scientists
- Mainly used for numerical computations and simulations
- Excellent support for signal processing
- Better suited for scientific computing
|
- Limited support for data visualization
- Limited support for statistical analysis
|