Correlation Visualization
>> cor(data[6:9]) IMDbRating Runtime Year NumVotes IMDbRating 1.000000000 NA 0.008574095 0.5748866 Runtime NA 1 NA NA Year 0.008574095 NA 1.000000000 0.5263616 NumVotes 0.574886602 NA 0.526361607 1.0000000
library(corrgram) corrgram(data[6:9], upper.panel = panel.pie, lower.panel = panel.pts)Computerworld’s Sharon Machlis shows examples for 5 data visualizations in 5 minutes: each in 5 lines or less of R . (Above is is my version of it using IMDB data). Also worth checking out are her favorite R packages for data visualization and munging
split-apply-combine
*apply family is covered by the extremely popular plyr package, however the base functions remain useful and worth knowing. See apply function comparisons on stackoverflow Hadley Wickham's matrix below
From Hadley Wickham, slide 21 of http://www.slideshare.net/hadley/plyr-one-data-analytic-strategy:[01] Analyze LinkedIn with R, Julian Hillebrand, March 18, 2015, URL: http://thinktostart.com/analyze-linkedin-with-r/
[03] R Tyler Rinker, URL: https://www.youtube.com/channel/UCOuzoXJpWWOFop7_nlJ5-hw/videos
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