Category: Data analysis

The World Food Programme (WFP) widely uses the Food Consumption Score (FCS) as a composite indicator to measure a household's food security status. It combines dietary diversity, food frequency, and the relative nutritional importance of different food groups to provide a comprehensive picture of consumption patterns.

According to recent USDA data, less than 12% of American adults meet dietary guidelines for fruit intake, adding a layer of complexity to the question of what is America's number one fruit. The seemingly simple question has multiple, surprising answers depending on the metric used.

Over 750 million people use Microsoft Excel, and a fundamental concept for all of them is understanding cell referencing. Many beginners ask, "What formula is A2?" thinking it's a specific calculation, but in reality, 'A2' is a cell's address, and its function depends entirely on the formula it's used within.

The Food and Agriculture Organization of the United Nations (FAO) has utilized geospatial data for monitoring food systems since the 1960s, a practice that has evolved significantly with technology. This evolution has led to modern proximity analysis in food, an advanced application of location data and geospatial technology to understand and optimize the relationships between food sources, processing facilities, and consumers.

Understanding how to calculate percentages is a fundamental skill, with over 70% of businesses using percentages to analyze sales data and project future growth. Learning to break down a total into its constituent parts is crucial for anyone from students analyzing grades to businesses optimizing product performance. This article provides a comprehensive guide on how to calculate the percentage of each item within any given set.

Redundancy Analysis (RDA) is a constrained ordination method that is the multivariate extension of linear regression, explicitly exploring the relationships between two matrices: a response matrix and an explanatory matrix. This powerful statistical tool is fundamental in fields like ecology and environmental science.

According to the World Food Programme (WFP), the Food Consumption Score (FCS) is the most widely used household-level food security indicator. To calculate food consumption score, you must aggregate household data on dietary diversity and food frequency over a seven-day recall period, weighing each food group by its nutritional value.

According to a 2025 review on landscape genomics, redundancy analysis (RDA) is a highly versatile tool for identifying and evaluating relationships between genetic and environmental variation. A comprehensive guide on what is the RDA analysis is essential for researchers looking to understand and apply this multivariate statistical method effectively.

According to the World Health Organization, millions of lives are impacted by malnutrition, making robust nutritional data essential for public health action. What do you mean by nutrition surveillance? It is the systematic, continuous collection, analysis, and interpretation of data concerning the nutritional status and related factors of a population.

Statistically, factor analysis is a powerful technique for modeling the variance among observed variables as a function of unobserved, or latent, entities. How is EFA different from CFA? At its core, EFA is an exploratory method for uncovering potential structures, while CFA is a confirmatory method for testing a predefined structure.