id submission_type answer
tutorial-id none introduction
information-name question Ivy Spratt
information-email question ivyspratt@gmail.com
what-you-will-learn-2 exercise library()
what-you-will-learn-3 exercise ?sqrt
what-you-will-learn-4 exercise ?diamonds
looking-at-data-4-b question A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows:
what-you-will-learn-5 exercise x<-sqrt(144)
what-you-will-learn-6 exercise diamonds
what-you-will-learn-7 exercise print(diamonds)
what-you-will-learn-8 exercise print(diamonds,n=3)
what-you-will-learn-9 exercise glimpse(diamonds)
what-you-will-learn-10 exercise summary(diamonds)
what-you-will-learn-11 exercise sqrt(144) #i love nora
how-this-book-is-organized-1 exercise glimpse(mpg)
how-this-book-is-organized-2 exercise ggplot(data=mpg)
how-this-book-is-organized-3 exercise ggplot(data=mpg) mapping=aes()
how-this-book-is-organized-4 exercise ggplot(data=mpg) mapping=aes(x=displ,y=hwy)
how-this-book-is-organized-5 exercise ggplot(data=mpg, mapping=aes(x=displ,y=hwy))+geom_point()
how-this-book-is-organized-6 exercise ggplot(data=mpg, mapping=aes(x=displ,y=hwy))+geom_point(alpha=0.5)
how-this-book-is-organized-7 exercise ggplot(data=mpg, mapping=aes(x=displ,y=hwy))+geom_point(alpha=0.5,color="steelblue")
how-this-book-is-organized-8 exercise ggplot(data=mpg, mapping=aes(x=displ,y=hwy))+geom_point(alpha=0.5,color="steelblue")+labs(title="Measurements for Engine Displacement and Highway Fuel Efficiency of Select Car Models", subtitle="Cars with greater enginer displacement are less fuel efficient",x="Engine Displacement (L)", y="Highway Efficiency (mpg)", caption="EPA (2008)")
running-r-code-1 exercise gss_cat
running-r-code-2 question A sample of categorical variables from the General Social survey
running-r-code-3 exercise gss_cat|>print()
running-r-code-4 exercise gss_cat|>filter(age > 88)
running-r-code-5 exercise gss_cat|>filter(age > 88)|>select(age, marital, race, relig, tvhours)
running-r-code-6 exercise gss_cat|>filter(age > 88)|>select(age, marital, race, relig, tvhours)|>arrange(desc(tvhours))
download-answers question 25