Power BI
SQL Joins Cheat Sheet
SQL Joins Cheat Sheet
/1 /2 , :4 ? -://a .b .c /2 /0 9/w -i -r -s -c -b .h / HOME AskCarlito blogspot com | Home | About | Contact FEATURES Home / Unlabelled / What is R? The Statistical Computing base for data science ketan Raval 25 days ago LearnthehistoryofRprogramminglanguageanddiscoverwhyitisthemostwidely usedlanguageindatascience Risastatisticalprogrammingtoolthat’suniquelyequippedtohandledata,andlotsofit. Wranglingmassamountsofinformationandproducingpublication-readygraphicsandvisualizationsis easywithR.Soareallsortsofdataanalysis,mining,andmodelingtasks. What is R? - The Statistical Computing base for data science What is R? - The Statistical Computing base for data science IntroductionofRfordatascience ThisPost/Pagemaycontainaffiliate links,meaningwhenyouclickthelinks andmakeapurchase,wereceivea commission. DI SCLOSURE Learn SQL Commands —25 Most Popular SQL Commands Learn SQL Commands 25 Most Popular SQL Commands Learn the basics of the 25 most popular SQL commands and how to use them What is SQL? SQL Learn Power BI Calculate function Tutorial Learn
Calculate function Tutorial Learn how to use the Power BI CALCULATE function while giving examples of how you can use it The
With this SQL Joins cheat sheet, you'll have a handy reference guide to joining data in SQL SQL, also known as St 21 Essential Tools for Python 21 Essential Tools for Python Learn about the essential Python tools for software development, web scraping and development, data analysis a Creating Synthetic Data with Python Faker Tutorial Creating Synthetic Data with Python Faker Tutorial Generating synthetic data using Python Faker to supplement real world data for applicatio What is R? The Statistical Computing base for data science What is R? The Statistical Computing base for data science Learn the history of R programming language and discover why it is the most wid 15 days of Power BI Complete Microsoft Power BI Bootcamp POPULAR POST S
Becauseitwasfirstdesignedbystatisticiansforstatisticalpurposes,Risexceptionallywell-suitedto datascience,animportantfieldintoday’sworld.
WhileR’scorefunctionisstatisticalanalysisandgraphics,itsuseextendspasttheseandintoAI, machinelearning,financialanalysis,andmore.
Consistentlyrankedasoneoftheworld’smostpopularprogramminglanguages,nottomentionone thatcommandshighsalaries,Rhasbeenaroundsincetheearly1990sandisstillgoingstrong.
ReadontolearnmoreabouttheRprogramminglanguageincludingitshistory,whousesit,and possiblecareerpathswithRskillsunderyourbelt.
WhatisR?
Risastatisticalcomputingandgraphicssystem.Thissystemiscomprisedoftwoparts:theR languageitself(whichiswhatmostpeoplemeanwhentheytalkaboutR)andarun-timeenvironment.
Risaninterpretedlanguage,whichmeansthatusersaccessitsfunctionsthroughacommand-line interpreter
UnlikelanguagessuchasPythonandJava,Risnotageneral-purposeprogramminglanguage. Instead,it’sconsideredadomain-specificlanguage(DSL),meaningitsfunctionsandusearedesigned foraspecificareaofuseordomain.
InR’scase,that’sstatisticalcomputingandanalysis.Byextension,Riscommonlyusedforallmanner ofdatasciencetasks.
Risequippedwithalargesetoffunctionsthatenabledatavisualizations,souserscananalyzedata, modelitasrequired,andthencreategraphics.Inadditiontothelanguage’sin-builtgraphical functions,therearenumerousadd-onsormodulesthatfacilitatethis.
Risapopularprogramminglanguage,especiallyincertainfieldssuchasdatascience,academic research,andstatistics.
Atthetimeofwriting(March2022),Rheld11thplaceontheTIOBEIndex,andinAugust2020,Rwas at8thplace.Updatedmonthly,theTIOBEIndexisagoodindicatorofaprogramminglanguage’s popularity
Thereare50languageslistedintheindex,andmorethan8000otherprogramminglanguagesin knownexistence,soit’ssafetosaythatRispopular!
InMay2020,Rbrieflylostitstop-twentyspotintheTIOBEIndex,leadingmanytospeculatethatthe language’sjumpfromacademicresearchtocommercialusewasquicklysupplantedbyPython. However,thislullinpopularitydidn’tlastlongandasTechRepublicreported,byJulyofthesameyear, Rwasinthetopten.
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IsRaPopularProgrammingLanguage? 15 days of Power BI Complete Microsoft Power BI Bootcamp 15 days of Power BI Complete Microsoft Power BI Bootcamp What you'll learn Get Udemy courses 95 % DI SCOUNT UDEMY COURSES Home earning with social media EARN MONEY FROM SOCI AL MEDI A A millionaire's Secret J OHN CRESTANI T HI S SECRET FRUI T RAPI DLY MELT S FAT
Risthelanguageofchoiceforstatisticalengineersandstatisticalresearch.Anduniversitiesaround theworlduseRtoaidtheirresearchworkinnumerousfields.
“R’ssuccessisanexampleofthepowerofanacademia-supportedcommunitytoelevatealanguage beyonditsexpectedthreshold.”-StephenO'Grady,RedMonkAnalyst
ManypeoplethinkR’sjumptotop-tenpopularityin2020wasdowntothelanguage’sincreasedusein Covid-19research.Whenthere’salotofdatatowrangle,Ristheidealtool—justonereasonwhythe languageisstillpopulartoday,nearly30yearsafteritsinception.
Rwascreatedintheearly1990sbyUniversityofAucklandstatisticiansRossIhakaandRobert Gentleman.
IhakaandGentleman,boththenstatisticsprofessorsattheNewZealanduniversity,sawwhat Ihakacalleda“commonneedforabettersoftwareenvironment”intheircomputerscience laboratories.ThisrealizationpromptedthepairtobegindevelopingR,animplementationoftheearlier Sprogramminglanguage.
AlthoughtheprofessorsstartedworkingonRintheearly90s,version1.0.0wasn’tofficiallyreleased untilFebruary2000.
TheRlanguagegotitsnamefortworeasons:becauseRisthefirstletterintheinventors’names, andbecauseRisaplayonthenameofitsparentlanguageS,whichwasoriginallydevelopedbyBell TelephoneLaboratories.
TofullyunderstandR,it’shelpfultounderstandS,themainlanguagethatinformeditsdevelopment.
Swasdevelopedinthemid-1970sbyJohnChambersandothersworkingforBellLabs.Itspurpose wastoofferaninteractiveapproachtostatisticalcomputing,onethatwasuser-friendlyandmadedata analysistaskseasierandfaster
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WhenwasRcreated? WhatdoesR’snamemean? RandSandScheme TheSprogramminglanguage There is a secret ingredient in that that makes people thin no matter what they eat? Social media jobs are really hot right now !! GET PAI D ON SOCI AL MEDI A September (24) BLOG ARCHI VE ▼ 2022 (129) ▼ September (24) Data Science Interview Questions And Answers Python package Fuzzy project Gender Prediction us 15 days of Power BI Complete Microsoft Power BI Learn SQL LIKE Pattern Matching Tutorial 21 Essential Tools for Python Learn Power BI Calculate function Tutorial What is R? The Statistical Computing base for da How to Become a Data Scientist with No Experience ? SQL Joins Cheat Sheet Learn SQL Commands —25 Most Popular SQL Commands Creating Synthetic Data with Python Faker Tutorial How to Create and Sell Pro table Online Courses: BLOG ARCHI VE
Ina2013interview,ChambersnotesthattheBellLabsteamwantedpeopletohave“accesstothe bestcomputationalmethodsthatexisted,regardlessofwheretheyhadcomefrom.”
Hehasalsosaidthattheteamwantedusersto“begininaninteractiveenvironment,wheretheydid notconsciouslythinkofthemselvesasprogramming.Thenastheirneedsbecameclearerandtheir sophisticationincreased,theyshouldbeabletoslidegraduallyintoprogramming.”
S’sgeneralphilosophywasmuchlikeR’s:toofferasoftwareenvironmentthatfacilitates computationalprogrammingandstatisticalanalysis,onethatanyonecanlearntouse.
LikeR,Scanalsobeusedtowritelongerprogramscenteredonstatisticaltasks.UnlikeR,though,S anditslateriterationS-PLUSwerelicensedproducts,meaningtheyhadtobepurchasedfroma company
It’simportanttonotethatRisnotadistinctlanguage,ratherit’sadialectofS.
Syntaxandsemantics
Linguistsusethetermssyntaxandsemanticstodescribeelementsofnaturallanguages,and computerscientistshaveadoptedthesetermsforprogramminglanguagestoo.
Incomputerprogramming,syntaxreferstotherulesthatdictatealanguage’s‘spelling’and‘grammar,’ whilesemanticsreferstohowalanguage’sdataorcommandsarepresented.
R’ssyntaxwasverysimilartothatofSinitsearlyyears.Thismadeiteasyforpeopleusing S-PLUS tochangetoR,whichplayedakeyroleinR’seventualpopularityinacademia.R’ssemantics, however,isclosertothatofScheme,afunctionalprogramminglanguage.
Raloworhigh-levellanguage?
Risalow-levelprogramminglanguage,whichmeansafewdifferentthings,includingthatit’scloserto amachinelanguagethananaturalhumanlanguage.This,combinedwithitssyntacticquirkshave givenRareputationforbeingdifficulttolearn.
There’satrade-offhere:Rofferspower,extensibility,andflexibilityindrovesbutthe‘cost’isacertain levelofcomplexity
BeginnersheadingtotheRhelppagesforassistancearelikelytocomeawayevenmoreconfusedas theseareaimedatanexperiencedaudience.
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Risnottheeasiestprogramminglanguagetolearn,butit’salsonotasdifficultasmanywouldhave youbelieve.DataCamphasbeenteachingpeoplehowtouseRformorethanadecadeandwe’ve fine-tunedourmethods.
ThetrickistofocusontheessentialsfirstandthentogrowyourRskillsandknowledgeasyou progress.Ifyou’dliketotryRprogramming,checkoutourfreeIntroductiontoRcourse.
HowRHasEvolvedOvertheYears
Rhasbeenopen-sourceformostofitslifespan,sotherehavebeenbigchangestothenumberof packagesavailableforthelanguage.
Thelanguageitselfhasundergonesomechanges,too,aswe’vemovedfromthefirstversiontothe mostrecent,andthefieldsinwhichRisusedhavealsoexpanded.Beforecoveringthatinmoredepth, let’stakealookatafewmilestonesinR’shistory:
AbriefhistoryofR
1991-RossIhakaandRobertGentlemanbeginworkonanewdialectofSasa researchprojectfortheDepartmentofStatisticsattheUniversityofAuckland.
1993-ThefirstannouncementofRhitsthepublicviathedataarchiveStatLiband thes-newsmailinglist.
1995-FellowstatisticianMartinMächlerconvincesR’sinventorstoreleasethe languageunderaGNUgeneralpubliclicense,makingRbothfreetouseandopensource.
IhakaandGentlemanreleasetheirseminalpaperintroducingRtotheworld.
1997-TheRCoreTeamwasformed,thisgroupistheonlyonewithwriteaccessto Rsourcecode,andtheyreviewandenactanysuggestedchangestothelanguage.
Thesameyear,theComprehensiveRArchiveNetwork(CRAN)wasformed.ThisrepositoryofopensourceRsoftwarepackages,extensionstothelanguageitself,helpsprofessionalswithmyriadtasks.
2000-Rversion1.0.0wasreleasedtothepublic.
2003-TheRFoundationwasformedtoholdandadministertheRsoftware copyrightandtoprovidesupportfortheRlanguageproject.
2004-Rversion2.0.0isreleased.
2009-TheRJournal,anopen-accessjournalforstatisticalcomputingandresearch, isestablished.
2013-Rversion3.0.0isreleased.
2020-Rversion4.0.0isreleased.
TheRCommunity
TheRcommunityisthepeopleallaroundtheworldwhouseR,contributetothepackagesavailable ontheCRANlibrary,orboth.
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Data Science
/1 /2 , :4 ? -://a .b .c /2 /0 9/w -i -r -s -c -b .h / Thiscommunityisknownforbeingveryactive,thereareplentyofpeoplerunningforumsaboutR, bloggingaboutit,andansweringquestionsonStackOverflowandotherplaces.Inadditiontoallthe virtualRresourcesandsupport,thereareanumberoflargeRconferencesthatrunonaregularbasis. IfyouwanttodosomethingwithRandyou’renotsurehowtobegin,there’saverygoodchancethat there’sapackageavailabletohelpyou.ThebustlingRcommunityhasproducedthousandsoftools thatextendR’scapabilities. Infact,Microsoft’sRevolutionAnalyticsblogreportedthatin2017,therewere10,000packageslisted onCRAN.Someofthesepackageshaverisentoprominenceintheirownright,includingthe Tidyverse. Skills you'll gain: Analysis, Application Development, Business Analysis, 4.6 (46 7k reviews) Beginner Specialization 3 6 Months
: Foundations using R Skills you'll gain: Analysis, Bayesian Statistics, Business Analysis, Confidenc 4.7 (6 7k reviews) Beginner Specialization 3 6 Months Data Analysis with R Johns Hopkins University Skills you'll gain: Computer Programming, R Programming, Statistic 4.5 (21 7k reviews) Intermediate Course 1 4 Weeks R Programming Skills you'll gain: Computer Programming, Data Analysis, Computer 4.8 (4 7k reviews) Beginner Course 1 3 Months Data Analysis with R Programming TheRTidyverse
There’sagoodchancethatifyou’vereadabitaboutR,you’llhaveheardoftheTidyverse.
TheTidyverseisn’tasinglepackage,ratherit’sapackageofindividualRpackages—verymeta,right? Thesepackagesarealldesignedfordatascienceandanalytics.
EachtoolinthetotalTidyversepackageisdesignedtoworkinconjunctionwiththeothersandprovide averyclearflowbetweendatasciencetasks.
TheTidyverseisthebrainchildofHadleyWickham,ChiefScientistatRStudioandco-authorof‘Rfor DataScience.’Thisself-proclaimed“opinionatedcollectionofRpackages”hasprovenpopular worldwideanddatascientistsallovertheworldnowrelyontheTidyversefortheirwork.
Infact,it’ssafetosaythatanyonewhowantstoworkwithRorwithdata,ingeneral,thesedaysneeds tounderstandtheTidyverse.YoucancheckitoutinDataCamp’sonlineIntroductiontothe Tidyverse
TheRiseofDataScience
ItwouldbeamisstochartR’sevolutionwithoutmentioningtheriseofdatascienceinmoredetail.
Astheworldshiftedfromanalogsystemstodigitization(makingexistingsystemsdigital)inthelate 20thcentury,databecameincreasinglyvaluable.Today,it’sworthmorethangold.
Businessesinallsectorsandindustriesneedtounderstandtheirclientsandpotentialclientstoremain competitive,andpublicorganizationscandoabetterjobwhenthey’reequippedwithasmuch informationaspossible.
Allofthisdataholdsplentyofinsightsthatorganizationscancapitalizeon,theyjustneedtheright tools.
Risoneofthosetools,asisPython,SQL,PowerBi,Tableau,andothers.Toproperlyunderstandthe informationhiddeninthedata,weneedprofessionalssuchasdatascientistsandanalysts.
Asdatasciencebecamemoreimportantinthemodernworld,thedemandforpeoplewiththetechnical skillstoreadandinterpretdataroseaccordingly.Today,forexample,datascienceisoneofthe highest-paidITroles,withanaveragesalaryofoverUS$100,000accordingtoIndeed
WhoUsesR?
PlentyofprofessionalsuseRintheirwork,andthelanguageisusedacrossavarietyoffields.Before lookingatthose,let’sreviewafewpossiblecareerswithRskills.
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Datascientist Statisticalengineer Dataanalyst
CareerswithR
FieldsandindustrieswhereRisused
Becauseit’spowerfulandcapableofallsortsofdataanalysis,visualization,andmodelingtasks,Ris usedinadiverserangeofindustriesandsectors.Herearejustafew:
Academia
MuchlikeEnglishistheworld’slinguafranca,Risthedominantprogramminglanguageinmany academicinstitutions.Itsuseisn’tlimitedtostatisticseither;manykindsofresearchneedquantitative dataincludingcorrelational,experimental,anddescriptive,andtheseoccuracrossfields.
Digitalization(theprocessofembracingdataandassociatedtools)andtheriseofbigdatahave touchedallfieldsofstudyandresearch,leadingtoincreaseduseofRinacademicsettings.
Forexample,IBM’sStatisticalPackagefortheSocialSciences(SPSS)wasoncetheleadingsoftware choiceforsocialsciences.Now,Risthetopchoiceformanyreasons:
Ris100%freeforbothinstitutionsandstudents
Riscompatiblewithalloperatingsystemsanddatafromvariousfiletypes
Renablestransparentandreproducibleresearch
Rmakescreatingdatavisualizationseasy
A2013DataCampsurveyonRineducationshowedthat71.1%oftherespondentswerein economicsorbusinessstudieswhileonly10.5%wereincomputerscience,showingthatdataliteracy andskillsmatteracrosstheboard.
DataScience
AlongsidePython,Risanimportantlanguageintheworldofdatascience.WiththehelpofR, professionalscanmodelandanalyzebothstructuredandunstructureddata,theycanalsouseRto createmachinelearningandstatisticalanalysistoolsthatassistintheirwork.
Rmakeshandlingdatafromvarioussourceseasy,fromimporttoanalysis.PlustheRsystemitself andtheCRANlibraryofferplentyofdatavisualizationfunctionsandtools,whichmakesiteasyfor professionalstopresenttheirresearchandfindingsinanimpactfulandeasy-to-readformat.
/1 /2 , :4 ? -://a .b .c /2 /0 9/w -i -r -s -c -b .h / Rprogrammer Dataarchitect Databaseadministrator Geostatistician Researcher Businessintelligence Financialanalyst Machinelearningscientist Quantitativeanalyst Statistician Andmore…
Statistics
Itgoeswithoutsayingsinceit’sastatisticalprogramminglanguage,butRisthego-toforstatisticsand statisticalcomputing—afterall,itwasdesignedbystatisticiansforthispurpose.
Abroadrangeofpackagessupportsworkinthisfield,whiletheRlanguageitselfcanbeusedto developsoftwaretoolsthatincludestatisticalfunctions.Itsusemayevengofurther.Inaninterview, RStudiocomputerscientistJoeChengnotesthatRcanbeusedasageneral-purposelanguageto implementnewstatisticallanguages.
Finance
Withitsflexibilityandaptitudeforanydataanalysistask,it’snotsurprisingthatRhasfoundincreased useinfinance.CompaniessuchasANZandBankofAmericausethelanguageforcreditriskanalysis andmodeling,financialreporting,handlinginvestmentportfolios,andnumerousothertasks.
DedicatedtoolssuchasjrvFinanceandthebundlepackageRmetricsallowthoseworkinginfinanceto performfinancialcomputations,eveniftheyhavelimitedprogrammingexperience.
DataCampoffersarangeofRforfinancecourses,includingFinanceFundamentalsinR, andAppliedFinanceinR
SocialMedia
SinceitsearlydaysofOpenDairyandBolt,socialmediahasgrownitsreachfromafewtech-savvy userstopracticallyeveryonewhoownsasmartphone.Thesedays,it’shardtofindsomeonewhouses nosocialmediaplatforms.
Socialmediaisalsobigbusiness,abusinessthatprimarilytradesindata.CompaniessuchasMeta (FacebookandInstagram)andTikTokrelyonusers’habitstooffertargetedadvertisingtoother companies.
Everysinglethingyoudoorinteractwithonsocialmediageneratesdatathatcanbeusedforthis purpose,andtoolssuchasRaretheperfectwayforsocialmediacompaniestoextractinsightsfrom themassamountsofdatatheycollectandmanagethealgorithmsthatkeepuserscomingbackfor contentthatsuitstheirinterests.
justafewofthebig-namecompaniesthatuseRintheirtech
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Hereare
stack: BankofAmerica Amazon Facebook JPMorgan Google Accenture LinkedIn IBM Uber Deloitte
WhichcompaniesuseR?
SomeCodeExamples
/1 /2 , :4 ? -://a .b .c /2 /0 9/w -i -r -s -c -b .h / TheNewYorkTimes Ford HP Andmanymore… Rcanperformbasiccodelikecreatingamatrixanditsmanipulationaswecanseebelow: Skills you'll gain: R Programming, Statistical Programming 4.4 (269 reviews) Beginner Guided Project Less Than 2 Hours Getting Started with R
Code #Let’screateamatrix matrix_A<-matrix(1:10,nrow=5,byrow=TRUE) matrix_A POWERED BY DATACAMP WORKSPACE COPY CODE
#Nowlet’saddacolumntothematrix matrix_A1<-cbind(matrix_A,c(6:10)) matrix_A1
Itcanalsohelpwithdataanalysisandmanipulation:
Code
#Let'sloadabuilt-indataset data(mtcars)
#printfirst10rows head(mtcars,10)
Code
#Letustrytosortthedatasetbasedonascendingorderofhorsepower attach(mtcars)
df<-mtcars[order(hp),] head(df,10)
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Code
POWERED BY DATACAMP WORKSPACE COPY CODE
POWERED BY DATACAMP WORKSPACE COPY CODE
POWERED BY DATACAMP WORKSPACE COPY CODE
RBasicsandAdvancedR
/1 /2 , :4 ? -://a .b .c /2 /0 9/w -i -r -s -c -b .h / PeoplewithbasicRknowledgecanusetheprogramminglanguagetoperformbasicdatasortingand analysistasks,suchasassigningvariablesandusingthecommandlinetoperformcalculations. Theycanalsoproducevisualrepresentationsofdatasuchaspiechartsorgraphs.Theymighteven useRtohelpthemmanagetheirownpersonalfinancesorthoseofasmallcompany Asexpected,peoplewithadvancedknowledgeofRcandoallthesethingsandmanymorebesides. R’suseextendspastcreatingvisualizationsanddataanalysis.Becauseit’sapowerfulstatistical computingtool,Rcanbeusedtobuildpredictivemachinelearningmodelsandotherdatascience tools.
Skills you'll gain: Computer Graphics, Computer Programming, Data 4 8 (244 reviews) Beginner · Specialization · 3 6 Months Data Visualization & Dashboarding with R
Althoughit’sprimarilyafunctionalanddomain-specificlanguage,Rcanevenbeusedforsomeobjectorientedprogrammingtasks.ExpertsmayalsouseRformetaprogramming,thecreationofprograms thatcanthenwriteormanipulateotherprograms.
Whetheryou’djustlikeatooltobettermanageyourownspendinghabitsoryouwanttobecomea masteroftheRcode,DataCampcanhelp.OurbroadrangeofRcoursesandcareertracksare suitableforeveryone,fromabsoluteRbeginnertocompetentRprogrammerandbeyond.
RoundingUpR
Risapopularprogramminglanguagethatallowspeopletoadeptlyhandlemassamountsofdata, generatepublication-qualityvisualizations,andperformarangeofstatisticalandanalyticcomputing tasks.
Usedinfieldsincludingdatascience,finance,academia,andmore,Rispowerful,flexible,and extensible.It’salsofreeandcompletelyopen-source,whichmeansthereareplentyofpackages availabletohelpRuserswithallmanneroftasksandasupportivecommunityofRloversworldwide.
Ifyou’reinterestedinacareerindata,Rskillscanhelpyougetahead—andlandawell-paidjobin datascience.DataCampishometotheinternet’smostcomprehensiverangeofRcourses.From introductorylevelallthewayuptomachinelearningwithR,wehaveyoucovered.
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