Hence, this dataset would track cost, inflation, budget and how the reduction of the budget has decreased over the years due to rising costs associated with inflation that has negatively affected the libraries ability to keep subscriptions. This is due to the high costs and ultimately has led to cancellation of subscriptions that are in print and newspapers that the library already has online versions of. The third dataset we could utilize would be unsupervised: data reduction this would allow us to reduce the large data into simpler data, this would allow us to focus on a set data and reduce the amount of time required to make a firm decision with the limited budget available. We would be able to focus on subscriptions that are costly, frequency of usage, location of these subscriptions, format, and
Hence, this dataset would track cost, inflation, budget and how the reduction of the budget has decreased over the years due to rising costs associated with inflation that has negatively affected the libraries ability to keep subscriptions. This is due to the high costs and ultimately has led to cancellation of subscriptions that are in print and newspapers that the library already has online versions of. The third dataset we could utilize would be unsupervised: data reduction this would allow us to reduce the large data into simpler data, this would allow us to focus on a set data and reduce the amount of time required to make a firm decision with the limited budget available. We would be able to focus on subscriptions that are costly, frequency of usage, location of these subscriptions, format, and