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 second part of the training data visualization will be covered.

Objectives:

• Learn different types of data and their containers, including vectors and data frames
• The importance of using functions and packages in R for analysis
• The process of data wrangling, including data cleaning, transforming, and tidying
• Exposure to basic operations involved in data wrangling such as importing data, selecting variables, filtering rows, computing new variables, sorting data, summarizing data, and reshaping tables.

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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