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)

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