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Product typeBook
Published inJun 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781785886188
Edition1st Edition
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Ralph Winters
Ralph Winters
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Ralph Winters

Ralph Winters started his career as a database researcher for a music performing rights organization (he composed as well!), and then branched out into healthcare survey research, finally landing in the Analytics and Information technology world. He has provided his statistical and analytics expertise to many large fortune 500 companies in the financial, direct marketing, insurance, healthcare, and pharmaceutical industries. He has worked on many diverse types of predictive analytics projects involving customerretention, anti-money laundering, voice of the customer text mining analytics, and health care risk and customer choice models. He is currently data architect for a healthcare services company working in the data and advanced analytics group. He enjoys working collaboratively with a smart team of business analysts, technologists, actuaries as well as with other data scientists. Ralph considered himself a practical person. In addition to authoring Practical Predictive Analytics for Packt Publishing, he has also contributed two tutorials illustrating the use of predictive analytics in Medicine and Healthcare in Practical Predictive Analytics and Decisioning Systems for Medicine: Miner et al., Elsevier September, 2014, and also presented Practical Text Mining with SQL using Relational Databases, at the 2013 11th Annual Text and Social Analytics Summit in Cambridge, MA. Ralph resides in New Jersey with his loving wife Katherine, amazing daughters Claire and Anna, and his four-legged friends, Bubba and Phoebe, who can be unpredictable. Ralph's web site can be found at ralphwinters.com
Read more about Ralph Winters

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Merging the results back into the original data


We will want to retain the number of total items for each invoice on the original data frame. That will involve joining the number of items contained in each invoice back to the original transactions, using the merge() function, and specifying Invoicenum as the key.

If you count the number of distinct invoices before and after the merge, you can see that the invoice count is lower than prior to the merge:

#first take a 'before' snapshot 
 
nrow(OnlineRetail) 
> [1] 541909 
 
#count the number of distinct invoices 
 
sqldf("select count(distinct InvoiceNo) from OnlineRetail")  

The output shows a total of 25900 distinct invoices:

>   count(distinct InvoiceNo) 
> 1                     25900  

Now merge the counts back with the original data:

OnlineRetail <- merge(OnlineRetail, x2, by = "InvoiceNo") 

Check the new number of rows, and the new count of distinct invoices (20059 versus 25900). Note these counts compared to the original. The reduction...

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Practical Predictive Analytics
Published in: Jun 2017Publisher: PacktISBN-13: 9781785886188

Author (1)

author image
Ralph Winters

Ralph Winters started his career as a database researcher for a music performing rights organization (he composed as well!), and then branched out into healthcare survey research, finally landing in the Analytics and Information technology world. He has provided his statistical and analytics expertise to many large fortune 500 companies in the financial, direct marketing, insurance, healthcare, and pharmaceutical industries. He has worked on many diverse types of predictive analytics projects involving customerretention, anti-money laundering, voice of the customer text mining analytics, and health care risk and customer choice models. He is currently data architect for a healthcare services company working in the data and advanced analytics group. He enjoys working collaboratively with a smart team of business analysts, technologists, actuaries as well as with other data scientists. Ralph considered himself a practical person. In addition to authoring Practical Predictive Analytics for Packt Publishing, he has also contributed two tutorials illustrating the use of predictive analytics in Medicine and Healthcare in Practical Predictive Analytics and Decisioning Systems for Medicine: Miner et al., Elsevier September, 2014, and also presented Practical Text Mining with SQL using Relational Databases, at the 2013 11th Annual Text and Social Analytics Summit in Cambridge, MA. Ralph resides in New Jersey with his loving wife Katherine, amazing daughters Claire and Anna, and his four-legged friends, Bubba and Phoebe, who can be unpredictable. Ralph's web site can be found at ralphwinters.com
Read more about Ralph Winters