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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

Making the final subset

Based upon these frequencies, we will filter the data to only include a subset of the top categories. We will exclude some of the terms that do not apply to the physical product, such as design, set, and any associated colors:

# Testing OnlineRetail2 <- OnlineRetail OnlineRetail2 <- subset(OnlineRetail, lastword %in% c("BAG", "CASES", "HOLDER",      "BOX", "SIGN", "CHRISTMAS", "BOTTLE", "BUNTING", "MUG", "BOWL", "CANDLES",      "COVER", "HEART", "MUG", "BOWL")) 

Run the table() function again on the results to see the new frequencies:

head(as.data.frame(sort(table(OnlineRetail2$lastword[]), decreasing = TRUE)), 10) > sort(table(OnlineRetail2$lastword[]), decreasing = TRUE) > HOLDER 6792 > BOX 6528 > SIGN 6184 > BAG 5761 ...
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Publisher Resources

ISBN: 9781785886188Supplemental Content