Data validation is a crucial part of data analysis, encompassing the maintenance of data integrity, accuracy, and cleanliness for computational tasks. Since the results of analysis are heavily dependent on the quality of the input data, having a robust validation process is essential. A lack of such a process can lead to the effect of “Garbage in, garbage out.”