Abstract
This data article presents a dataset that analyzes the trends in climatic factors and rice yield in Cotabato Province, a key contributor to the country's rice output. The dataset was collected from the Office of the Provincial Agriculturist and NASA's POWER Prediction Of Worldwide Energy Resources (POWER) dataset agro-climate dataset from 2007 to 2021. Moreover, the data was processed using Extract, Transform, and Loading (ETL) method, and multivariate linear regression analysis was conducted to identify the agro-climates that significantly influence the production of irrigated and rainfed rice. Further, the explanatory factors that significantly influence the production of rice were determined and presented in an Analytical Dashboard. The dataset has great reuse potential for predictive analytics research at the municipal level, which can provide more detailed insights into the agro-climates of different municipalities in Cotabato Province. Moreover, the dataset can also be used to distribute different varieties of rice that can withstand the effects of climate change to the municipalities of Cotabato. Overall, this dataset provides valuable insights into the relationship between agro-climate and rice production in Cotabato Province and can inform future decision-making and resource allocation in the region.