R.for.Data.Analysis.in.easy.steps.epub

R.for.Data.Analysis.in.easy.steps.epub
TheRlanguageiswidelyusedbystatisticiansfordataanalysis,andthepopularityofRprogramminghasthereforeincreasedsubstantiallyinrecentyears.TheemergingInternetofThings(IoT)gathersincreasingamountsofdatathatcanbeanalyzedtogainusefulinsightsintotrends.RforDataAnalysisineasystepshasaneasy-to-followstylethatwillappealtoanyonewhowantstoproducegraphicvisualizationstogaininsightsfromgathereddata.RforDataAnalysisineasystepsbeginsbyexplainingcoreprogrammingprinciplesoftheRprogramminglanguage,whichstoresdatain“vectors”fromwhichsimplegraphscanbeplotted.Next,thebookdescribeshowtocreate“matrices”tostoreandmanipulatedatafromwhichgraphscanbeplottedtoprovidebetterinsights.Thisbookthendemonstrateshowtocreate“dataframes”fromimporteddatasets,andhowtoemploythe“GrammarofGraphics”toproduceadvancedvisualizationsthatcanbestillustrateusefulinsightsfromyourdata.RforDataAnalysisineasystepscontainsseparatechaptersonthemajorfeaturesoftheRprogramminglanguage.TherearecompleteexampleprogramsthatdemonstratehowtocreateLinegraphs,Barcharts,Histograms,Scattergraphs,Boxplots,andmore.ThecodeforeachRscriptislisted,togetherwithscreenshotsthatillustratetheactualoutputwhenthatscripthasbeenexecuted.Thefree,downloadableexampleRcodeisprovidedforclearerunderstanding.BytheendofthisbookyouwillhavegainedasoundunderstandingofRprogramming,andbeabletowriteyourownscriptsthatcanbeexecutedtoproducegraphicvisualizationsfordataanalysis.Youneedhavenopreviousknowledgeofanyprogramminglanguage,soit'sidealforthenewcomertocomputerprogramming.TableofContentsChapter1GettingStartedChapter2StoringValuesChapter3PerformingOperationsChapter4TestingConditionsChapter5EmployingFunctionsChapter6BuildingMatricesChapter7Constructin 本软件ID:10265859