In catalysis research, large datasets are often generated from various experiments. These datasets need to be cleaned, transformed, and analyzed to draw meaningful conclusions. dplyr allows researchers to perform these tasks efficiently. For instance, it can handle data operations such as filtering, selecting, mutating, and summarizing, which are crucial in processing experimental data from catalytic studies.
