Given the following data:CustomerIDItemBoughtDateTre_234Sofa2022-09-08216_TreShoes08/02/2021215/TreBlanket2021/06/20045/TreMug12-26-2021Tre-345Lamp31/08/2022TREJD19Bucket2022'08/01Which of the following best describes the main issue in the data...

The dataset exhibits inconsistencies in both the CustomerID and Date columns:

CustomerID Column: The identifiers use various formats, including underscores (Tre_234), slashes (215/Tre), hyphens (Tre-345), and combinations of letters and numbers (TREJD19). This inconsistency can lead to difficulties in data retrieval and analysis.

Date Column: Dates are presented in multiple formats, such as YYYY-MM-DD (2022-09-08), MM/DD/YYYY (08/02/2021), YYYY/MM/DD (2021/06/20), MM-DD-YYYY (12-26-2021), DD/MM/YYYY (31/08/2022), and an unconventional format (2022'08/01). Such variability can cause errors in date computations and analyses.

Addressing these inconsistencies is essential to ensure data quality and reliability.