In the world of data visualisation and analysis, R Shiny has emerged as a powerful tool for creating interactive web applications directly from R. Today, we will walk through the process of building a dashboard to visualise acute malnutrition data in Nigeria's BAY (Borno, Adamawa, and Yobe) states. This guide will provide insights into the structure and implementation of a Shiny dashboard, using our simple malnutrition analysis project as a practical example. Dataset Details For this dashboard, we used the Nigeria Acute Malnutrition Data set, which provides valuable information on Severe Acute Malnutrition (SAM) and Moderate Acute Malnutrition (MAM) cases across different states and Local Government Areas (LGAs) in Nigeria for the year 2023. This dataset focuses on the BAY (Borno, Adamawa, and Yobe) states, which have been significantly affected by ongoing humanitarian challenges. Dataset Source The dataset is available from the OCHA (United Nations Office for the Coordination of H...
MTJ Data Analytics
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