a)Study the "dataframe" below and answer the questions that follow.

Column1Column2Column3Column4Column5Column6

Name1 Alpha1224540Alpha

Name2 Beta1632511Beta

Name3 Alpha52104320Gamma

Name4 Beta3672841Delta

Name5 Beta4590320Phi

Name6 Alpha1224120Zeta

Name7 Beta3264641Sigma

Name8 Alpha4284540Mu

Name9 Alpha56112311Eta

dataframe

i.Indicate code in R or Python that will calculate the correlation between "Column2" and "Column3" of a "dataframe"[1 Mark]

ii.The above dataset has been loaded for you in R or Python in a variable named "dataframe". indicate a code that will select only the rows for which parameter is Alpha?[1 Mark]

iii.A majority of work in Python or R uses systems internal memory and with large datasets, situations may arise when the Python or R workspace cannot hold all the data in memory. So, removing the unused objects is one of the solutions. indicate a command that will remove rows with values called "Beta" [1 Mark]

iv.State and explain Techniques and tools (R or Python packages) that are used to preprocess data so that it can be ready for data mining[5 Marks]