R funcitons to check for overall plausibility and errors $($typos$)$In this Module $2$ Discussion, we shall discuss how to use $R$ to obtain information by

exploring, cleaning, and preprocessing the data. The following is a kind of checklist

of frequent steps in data preparation. More precisely, they are also typical steps in

"cleansing" data. Such steps include $($at least$)$:

In view of the above steps, please scan through the three examples $($Example

$1,2,3)$ in Data Mining and Business Analytics with R$.$ Chapter $2$ and Data Mining for

Business Analytics: Concepts, Techniques, and Applications in R section $2\mathrm{.}4($found

in this week's Reading & Resources$)$ to find and then fill in the blanks in the above

table for those $R$ functions we can use to handle these steps, respectively. For

example, you may put read.csv$()$ and view$()$ in the first row as they are the ways to

realize that specific step. You may also refer to some open resources to find

relevant $R$ functions to fill in those blanks and each blank can have multiple $R$

functions as answers.