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Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate content levelBeginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Method one – Coercing a dataframe to a transaction file

Now we are ready to coerce the dataframe. We will create a temporary data frame containing just the transaction ID (InvoiceNo), and the descriptor (lastword).

First, we will verify the column names and numbers for these two variables. We can see that they correspond to columns 1 and 12 of the dataframe by first running a colnames function on OnlineRetail2:

colnames(OnlineRetail2) 
>  [1] "InvoiceNo"   "StockCode"   "Description" "Quantity"    "InvoiceDate">  [6] "UnitPrice"   "CustomerID"  "Country"     "itemcount"   "Desc2"      > [11] "lastword"    "firstword" 

As a double-check, display the first 25 rows, specifying the indices found previously:

kable(head(OnlineRetail2[, c(1, 11)], 5)) 

First, create the ...

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Publisher Resources

ISBN: 9781785886188Supplemental Content