Module 9: R statistical package training: Part III
Summary:
This training is the first in a three-part series of trainings that offer an introduction to R basics and how to use R for international trade flow analysis. In this third part of the training data analysis will be covered.
Objectives:
- Understanding the data: Data visualization serves as a tool to understand the data and explore relationships between variables.
- Supporting unexpected relationships: Data visualization helps to identify and support relationships in the data that may not have been anticipated beforehand.
- Communicating findings: Data visualization is essential for effectively conveying analysis results and findings to an audience.
- Developing data visualization skills: The text emphasizes the importance of acquiring skills in data visualization and provides references for further learning on creating effective charts and visuals.
- Producing basic trade data: exports, imports, key trading partners and how to show the data in numerical and in a basic visualization form.
Contributors:
Piyayut Chitchumnong (National Agricultural Big Data Center, Office of Agricultural Economics, Thailand), Dr. Pasakorn Thammachote (Kasetsart University), Ara Parinas (Kasetsart University), Nandita Srivastava (IFPRI)