June 2017
Beginner to intermediate
576 pages
15h 22m
English
Content preview from Practical Predictive Analytics
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
Examining cluster 2
After tabling cluster 2, look at a portion of the file. When looking at both the first and last words together, it seems like this cluster has something to do with hanging holders:
> head(cluster2[10:13]) Desc2 lastword firstword Cluster 6 GlassStarFrostedT-lightHolder HOLDER GLASS 2 57 HangingHeartT-lightHolder HOLDER HANGING 2 62 GlassStarFrostedT-lightHolder HOLDER GLASS 2 70 HangingHeartT-lightHolder HOLDER HANGING 2 81 HangingHeartT-lightHolder HOLDER HANGING 2 156 ColourGlassT-lightHolderHanging HANGING COLOUR 2
Rather than looking just at records, look at the frequencies of the most popular words. Heart, hanging, and folder are the three most frequently occurring words in cluster 2:
tail(sort(table(cluster2$lastword)), ...