【原創(chuàng)】R語言數(shù)據(jù)可視化分析報告(附代碼數(shù)據(jù))

【原創(chuàng)】R語言案例數(shù)據(jù)分析報告論文（附代碼數(shù)據(jù)）有問題到淘寶找“大數(shù)據(jù)部落”就可以了數(shù)據(jù)可視化分析報告可見1此圖形是一個傳統(tǒng)的堆積條形圖。這個圖形在內置于ggplot2庫中的mpg數(shù)據(jù)集上工作。fill=trans))+geom_bar(position="stalibrary(ggplot2)ggplot(mpg,aes(fill=trans))+geom_bar(position="sta-oO42-5000I2$eater-oO42-5000I2$eaterconftpactrnldelsminivanpickupsubcomiwctsuvclasstransauto^)|aubo^U)|auto悶)|且ubo晦)|呂Ufa軀d]|auto(潮euia(?6)|[H3nual(in5)

nnanual{ni6)echo=TRUE可見2這個boxplot也是使用mpg數(shù)據(jù)集建立的。ggplot(mpg)+geom_boxplot(aes(manufacturer,hwy))+theme_classic()+coord_flip()+labs(y="HighwayFuelEfficiency(mile/gallon)",x="VehicleManufacturer")

【原創(chuàng)】R語言案例數(shù)據(jù)分析報告論文(附代碼數(shù)據(jù))有問題到淘寶找“大數(shù)據(jù)部落”就可以了voltswagen-tayots-subaiu■portDM■ni錨an-m^ncury-incoln-i&rKlrover-jeep-hyundai■honda-ford-docge-Chevrolet-audl-2030HighwayFuelEfficienGy(mile/gallon)40echo=TRUE40Vis3這個圖形是用另一個數(shù)據(jù)集菱形建立的，也是內置在ggplot2包中的數(shù)據(jù)集。library(ggthemes)ggplot(diamonds)+geom_density(aes(price,fill=cut,color=cut),alpha=0.4,size=0.5)+labs(title='DiamondPriceDensity',x='DiamondPrice(USD),,y=*Density*)+themeeconomist()【原創(chuàng)】R語言案例數(shù)據(jù)分析報告論文（附代碼數(shù)據(jù)）有問題到淘寶找“大數(shù)據(jù)部落”就可以了DiamondPriceDensityOe+OOcutFairGoodVeryGood_PremiumIdealg4e=0450001500010000DiamondPnce(USD)Oe+OOcutFairGoodVeryGood_PremiumIdealg4e=0450001500010000DiamondPnce(USD)echo=TRUE另外，我正在使用ggplot2軟件包來將線性模型擬合到框架內的所有數(shù)據(jù)上。ggplot(iris,aes(Sepal.Length,Petal.Length))+geom_point()+geom_smooth(method=lm)+theme_minimal()+theme(panel.grid.major=element_line(size=1),panel.grid.minor=element_line(size=0.7))+labs(title='relationshipbetweenPetalandSepalLength',x='IrisSepalLength',y='IrisPetalLength')

【原創(chuàng)】R【原創(chuàng)】R語言案例數(shù)據(jù)分析報告論文（附代碼數(shù)據(jù)）有問題到淘寶找“大數(shù)據(jù)部落”就可以了匸玄蕓—I3￡?」Vis5Finally,inthisvisIextendonthelastexample,byplottingthesamedatabutusinganadditionalchanneltocommunicatespeciesleveldifferences.AgainIfitalinearmodeltothedatabutthistimeoneforeachspecies,andaddadditionalthemeandlabelingmodicitations.ggplot(iris,aes(x=iris$Sepal.Length,y=iris$Petal.Length,fill=Species,color=Species))+geom_point()+theme_minimal()+labs(x="IrisSepalLength",y="IrisPetalLength",title="RelationshipbetweenSepalandPetalLength)+geom_smooth(method=lm,se=FALSE)+theme(legend.