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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

Example – Using SQL to get sales by region

In this example, we will use the R package sqldf to show the difference in sales and units in four sales regions. Note that this is an artificial example since we will first generate separate data for the West region with sales figures that are higher than the other three regions:

install.packages("sqldf") library(sqldf) set.seed(10) rows=100 y <- rbind( data.frame(indv=factor(paste("TransId-", 1:100, sep = "")),                 Sales=rnorm(rows, mean=1500000,sd=100000),                 Units=round(rnorm(rows,mean=10, sd=3)),                 Region=sample(c("North","East","South"),rows, replace=TRUE)), data.frame(indv=factor(paste("TransId-", 101:200, sep = "")),                 Sales=rnorm(rows, mean=2000000,sd=100000),  Units=round(rnorm(rows,mean=10, ...
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Publisher Resources

ISBN: 9781785886188Supplemental Content