Homework 3
Xiaoxi Yang
June 4, 2018
Directions
During ANLY 512 we will be studying the theory and practice of data visualization. We will be using R and the packages within R to assemble data and construct many different types of visualizations. We begin by studying some of the theoretical aspects of visualization. To do that we must appreciate the actual steps in the process of making a visualization.
Most of us use softare to do this and have done so for so long that we have lost an appreciation for the mechanistic steps involved in accurately graphing data. We will fix that this week by creating a series of analog (meaning you draw them by hand) graphics. The visualizations you create must be numerically and visually accurate and precisely scaled. Because of that the data sets we visualize will be small.
A couple of tips, remember that there is preprocessing involved in many graphics so you may have to do summaries or calculations to prepare, those should be included in your work.
To ensure accuracy pay close attention to axes and labels, you will be evaluated based on the accuracy of your graphics.
The final product of your homework (this file) should include scanned or photographed images for each question below and a short summary of the process.
To submit this homework you will create the document in Rstudio, using the knitr package (button included in Rstudio) and then submit the document to your Rpubs account. Once uploaded your will submit the link to that document on Moodle.
Import Library
library(ggplot2)## Warning: package 'ggplot2' was built under R version 3.2.5library(ggthemes)Vis1
Vis1<-ggplot(mpg,aes(class))
Vis1 + geom_bar(aes(fill = trans)) + labs(fill="Transmission")
Vis2
Vis2<-ggplot(mpg,aes(manufacturer,hwy))
Vis2 + geom_boxplot()+ coord_flip() + labs(x="Vehicle Manufacturer", y="Highway Fuel Efficiency (miles/gallon)") + theme_classic()
Vis3
Vis3<-ggplot(diamonds,aes(price,color=cut))
Vis3 + geom_density(aes(fill=cut),alpha=0.3) +theme_economist() +labs(title="Diamond Price Density", x="Diamond Price(USD)",y="Density")
Vis4
Vis4<-ggplot(iris,aes(Sepal.Length,Petal.Length))
Vis4 + geom_point(position="jitter") + geom_smooth(method="lm") + labs(title="Relationship between Petal and Sepal Length", x="Iris Septal Length", y="Iris Petal Length") + theme_minimal()
Vis5
Vis5<-ggplot(iris,aes(Sepal.Length,Petal.Length,color=Species))
Vis5 + geom_point() + geom_smooth(method="lm",se=F) + labs(title="Relationship between Petal and Sepal Length", x="Iris Septal Length", y="Iris Petal Length") + theme_tufte() + theme(legend.position="bottom")