Class schedule: TBA Instructor: Christopher Llones e-mail: christopher.llones@vsu.edu.ph Pre-requisites: Basic statistics or COI Course credits: 3 units
Course description
Application of statistical concept and tools in analyzing economic phenomena.
Course objectives
Perform basic operation using R programming as the main statistical software
Demonstrate how to conduct descriptive analysis using statistical software and check necessary assumptions
Demonstrate how to conduct descriptive analysis using stistical
Conduct parametric and non-parametric tests
Test economic relationship using correlation / regression approach using appropriate statistical software and interpret results
Apply appropriate statistical methods to investigate actual economic problems.
Course outline
Week
Topics
Lessons
Descriptions
1
Introduction to R programming
Overview of R and RStudio interface
Reading data in R
Data wrangling
Install R and RStudio
Familiarize with the user interface of R and RStudio
Data importation and basic data transformation
2
Introduction to data visualization using ggplot2
Grammar of graphics
Datasets and mapping
Geometries
Statistical transformation and plotting distribution
Position adjustment and scales
Coordinates and themes
Facets and custom plots
Learn the foundation of ggplot2.
Data preparation for visualization, mapping variables to appropriate visual elements.
Select the most suitable visual representation using geometric objects.
Gain insights into data distributions using statistical summaries and plots.
Control the layout and scale of visual elements to optimize clarity and readability.
Create complex visualizations with multiples panels to highlight specific patterns and trends.
3
Reproducible report with quarto in R
Introduction to Quarto
Quarto documents elements
Exercise: generating reports
Improving reports
Learn about Quarto and its benefits for creating reproducible reports.
Understand the structure and components of quarto documents.
Render and enhance readability of data analysis reports.