Module 11: Tufte Visuals

 Module 11: Tufte Visuals

##Module 11: Tufts Visualizations

##install.packages(c("CarletonStats", "devtools", "epanetReader", "fmsb", "ggplot2", "ggthemes","latticeExtra", "MASS", "PerformanceAnalytics", "psych", "plyr"))

##nstall.packages(c("prettyR", "plotrix","proto", "RCurl", "reshape", "reshape2"))                  

library(CarletonStats)

library(devtools)

library(epanetReader)

library(fmsb)

library(ggplot2)

library(ggthemes)

library(latticeExtra)

library(MASS)

library(PerformanceAnalytics)

library(psych)

library(plyr)

library(prettyR)

library(plotrix)

library(proto)

library(RCurl)

library(reshape)

library(reshape2)


#Example R Script 1

library(devtools)

source_url("https://raw.githubusercontent.com/sjmurdoch/fancyaxis/master/fancyaxis.R")

x <- faithful$waiting

y <- faithful$eruptions

plot(x, y, main="", axes=FALSE, pch=16, cex=0.8,

     xlab="Time till next eruption (min)", ylab="Duration (sec)", 

     xlim=c(min(x)/1.1, max(x)), ylim=c(min(y)/1.5, max(y)))

axis(1, tick=F)

axis(2, tick=F, las=2)

axisstripchart(faithful$waiting, 1)

axisstripchart(faithful$eruptions, 2)

lines(predict(lm(y~x)),col='green')

#I want to add a trendline to see what the linear trend is ^^


#Example R Script 2

#library(ggplot2)

#library(ggthemes)

data(mtcars)

acoriginal <- ggplot(mtcars, aes(wt, mpg)) + geom_point() + geom_rug() + theme_tufte(ticks=F) + 

  xlab("Car weight (lb/1000)") + ylab("Miles per gallon of fuel") + 

  theme(axis.title.x = element_text(vjust=-0.5), axis.title.y = element_text(vjust=1))


print(acoriginal)


#I will create clean variable subs for the column names to be renamed in the visual and then reintroduce them and some additional aesthetics 


Horsepower <- mtcars$hp

Cylinders <- factor(mtcars$cyl)


#time to reload


ac <- ggplot(mtcars, aes(wt, mpg)) + 

  geom_point(aes(size = Horsepower, color = Cylinders)) + 

  geom_rug() + 

  theme_tufte(ticks=F) + 

  xlab("Car weight (lb/1000)") + 

  ylab("Miles per gallon of fuel") + 

  theme(

    axis.title.x = element_text(vjust=-0.5), 

    axis.title.y = element_text(vjust=1))


print(ac)


#Lets compare

print(acoriginal)

print(ac)


##I decided to add some bells and whistles to my rendition of what was shown on the page provided for us. I was able tor recreate several but I picked these two because I found it easier to manipulate

##In short, some visual aspects are nice to have even in the wind of desired simplicity. Detail and Creativity are industry standards. That is with all things

#In knowing this, I wanted to have some fun messing around with the visuals.

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