👉 The process of selecting a subset or sample from a larger dataset, typically for statistical analysis or data visualization purposes. This may involve removing some or all of the original data to create new samples that are representative of the original data's distribution and characteristics. Subsampling is often used in applications such as machine learning algorithms where it can help improve the accuracy and robustness of models by reducing overfitting, which occurs when a model learns too much about the training data but not enough about the test or unseen
