Large data sets often contain many discrepancies that must be identified and resolved before an analysis of the data can be attempted. Failure to resolve data discrepancies leads to inaccurate analysis and faulty conclusions. Therefore, as a first step, you must identify, understand, and resolve data irregularities in the e $-$Global Fashion Shipping History data set. For the purposes of this assignment, you may assume the supporting data provided $($ e$.$g$.,$ FedEx Rate tables, Transit Tables, etc.$)$ is accurate and complete. At least three known types of discrepancies must be addressed. Additional errors may be discovered through your clean$-$up process. Your job is to clearly identify any$/$all errorsdo not to attempt to correct them.