Group project 2

Weaknesses Upon the analysis of the two datasets, I learned that the dataset titled "Div by Subject by Subgroup" presents an excessive number of missing data, which is mainly in the cases of "2019-2020 Pass Rate" and "2020-2021 Pass Rate." The latter has more cases of missing data. With that in mind, the absence of any data that would permit one to see a specific pattern or trend instead serves as a powerful impediment to any straightforward interpolation. The importance of the common imputation methods, which are data organization, assessment of missing patterns, fixed value imputation and prediction of missing value, is unquestionable (APA, n.d.). Nevertheless, the tested data patterns have yet to be allocated. However, some sorting of data using general categories could help locate them, for example, "Level," "Div Num," "Div Na...