Figure shows the rating values of six different viewers to six different television shows. This data is to be used to recommend future shows for the viewer to watch. This is an example of “recommender systems” when the “missing data“ problem occurs frequently because a part of our data depends on users feedback. Based on your knowledge on data cleaning, identify the flaw(s) of this dataset. Recommend one suitable method to clean the data for future prediction. In your answer, explain how you would implement the method, and what will be the expected results.

Figure shows the rating values of six different viewers to six different television shows. This data is to be used to recommend future shows for the viewer to watch. This is an example of “recommender systems” when the “missing data“ problem occurs frequently because a part of our data depends on users feedback. Based on your knowledge on data cleaning, identify the flaw(s) of this dataset. Recommend one suitable method to clean the data for future prediction. In your answer, explain how you would implement the method, and what will be the expected results.