Basic Statistics · Cases, Variables, Types of Variables · Matrix and Frequency Table · Graphs and Shapes of Distributions · Mode, Median and Mean · Range, ...SkiptocontentBasicStatisticsforDataAnalysisWhyStatistics?Statisticalmethodsaremainlyusefultoensurethatyourdataareinterpretedcorrectly.Andthatapparentrelationshipsarereally“significant”ormeaningfulanditisnotsimplyhappenbychance.Actually, thestatisticalanalysishelpstofindmeaningtothemeaninglessnumbers.So,a“statistic”isnothingbutsomenumericalvaluetothatcandescribecertainpropertyofyourdataset.Therearefewwellknowstatisticsaretheaverage(or“mean”)value,andthe“standarddeviation”etc.Standarddeviationisthevariabilitywithinadatasetaroundthemeanvalue.The“variance”isthesquareofthestandarddeviation.Thelineartrendisanotherexampleofadata“statistic”.StepsintheDataAnalysisProcessBeforestaringDataAnalysispipelineyoushouldknowtherearemainlyfivestepsinvolvedintoit. Step1:Decideontheobjectivesor PoseaQuestionThefirststepofthedataanalysispipelineistodecideonobjectives.Theseobjectivesmayusuallyrequiresignificantdatacollectionandanalysis.Step2:WhattoMeasureandHowtoMeasuresMeasurementgenerallyreferstotheassigningofnumberstoindicatedifferentvaluesofvariables.Suppose,throughyourresearchyouaretryingtofind iftherewasarelationshipbetweenheight andweightofhuman,it wouldmakesensetomeasuretheheightandweightofdogs usingascale. Step3:DataCollectionOnceyouknowwhattypesofdatayouneedforyourstatisticalstudythenyoucandeterminewhetheryourdatacanbegatheredfromexistingsources/databasesornot.Ifdataisnotsufficienttheyouhavetocollectnewdata. Evenifyouhaveexistingdata,itisveryimportanttoknowhowthedatawascollected?Thiswillhelpsyoutounderstandyoucadeterminethelimitationsofthegeneralizabilityofresultsandconductaproperanalysis. Themoredatayouhave,themorebettercorrelations,buildingbettermodelsandfindingmoreactionableinsightsiseasyforyou.Especiallydatafrommorediversesourceshelpstodothisjobeasierway.Step4:DataCleaningThisisanothercrucialstepindataanalysispipelineis