Nothing
library(tidyverse)
library(forcats)
library(curl)
fly <- read_csv( curl("https://raw.githubusercontent.com/fivethirtyeight/data/master/flying-etiquette-survey/flying-etiquette.csv"))
names(fly) <- c("ID", "FlightFreq", "DoYouRecline", "Height", "Child18",
"Seats3_2Arms", "Seats2_1Arm", "WhoControlsWindowShade",
"RudeToMoveToUnsoldSeat", "RudeToTalkToNeighbor",
"6hrFlightRudeToLeaveSeat", "RecliningObligationToBehind",
"RudeToRecline", "EliminateReclining", "RudeToSwitchSeatsForFriends",
"RudeToSwitchSeatsForFamily", "RudeToWakeNeighborForBathroom",
"RudeToWakeNeighborForWalk", "RudeToBringBaby",
"RudeToBringUnrulyChild", "UseElectronicsDuringTakeoff",
"HaveYouSmoked", "Gender", "Age", "HouseholdIncome", "Education", "Region")
fly$DoYouRecline <- fct_relevel(fly$DoYouRecline, c("Always", "Usually", "About half the time", "Once in a while"))
fly$RudeToRecline <- fct_relevel(fly$RudeToRecline, c("Yes, very rude", "Yes, somewhat rude"))
fly$FlightFreq <- fct_relevel(fly$FlightFreq, c("Every day", "A few times per week" , "A few times per month","Once a month or less", "Once a year or less" ,"Never" ) )
levels(fly$RecliningObligationToBehind) <- c("No", "Yes")
fly$HouseholdIncome <- fct_relevel(fly$HouseholdIncome,
c( "$0 - $24,999" ,"$25,000 - $49,999",
"$50,000 - $99,999" ,
"$100,000 - $149,999", "150000"))
levels(fly$HouseholdIncome)[5]<- "150,000 or more"
library(ggplot2)
library(ggmosaic)
library(ggthemes)
library(ggsci)
head(fly)
str(fly)
ggplot(data = fly) + geom_mosaic(aes(x=product(RudeToRecline), fill=DoYouRecline), na.rm=T) +
scale_fill_locuszoom()+theme_hc() + theme(axis.text.y = element_blank())+
labs(title="Rude to recline? vs. Do you recline?", y="Do you recline?", x="Rude to recline?") #+coord_flip()
mosaicplot(~RudeToRecline + DoYouRecline, data= fly, color=DoYouRecline2)
getPalette <- colorRampPalette(pal_locuszoom("default")(5))
DoYouRecline2 <- getPalette(5)
names(DoYouRecline2) <- levels(fly$DoYouRecline)
mosaic(~RudeToRecline + DoYouRecline, data= fly, gp = gpar(fill = DoYouRecline2))
ggplot(data = fly) + geom_mosaic(aes(x=product(RudeToRecline), fill=DoYouRecline), na.rm=T) +
scale_fill_locuszoom()+theme_hc() + theme(axis.text.y = element_blank())+
labs(title="Rude to recline? vs. Do you recline?", y="Do you recline?", x="Rude to recline?")
ggplot(data = fly) + geom_mosaic(aes(x=product(DoYouRecline), fill=RudeToRecline), na.rm=T)+
scale_fill_locuszoom()+theme_hc() +labs(title="Rude to recline? vs. Do you recline?", x="Do you recline?", y="Rude to recline?")
ggplot(data = fly) + geom_mosaic(aes(x=product(Child18), fill=RudeToBringBaby), na.rm=T, offset=0.005) +
scale_fill_locuszoom()+theme_hc() +
labs(title="Is it rude to bring a baby onboard?", x="Has child under age 18", y="Rude to bring baby?")
ggplot(data = fly) + geom_mosaic(aes(x=product(RudeToRecline), fill=DoYouRecline), na.rm=T)+coord_flip()+
scale_fill_locuszoom()+theme_hc() +
labs(title="Rude to recline? vs. Do you recline?", y="Do you recline?", x="Rude to recline?")
ggplot(data = fly) + geom_mosaic(aes(x=product(FlightFreq), fill=RudeToTalkToNeighbor), na.rm=T) +
guides(fill=guide_legend( reverse = TRUE)) +
scale_fill_locuszoom()+theme_hc()
ggplot(data = fly) + geom_mosaic(aes(x=product(RudeToRecline), fill=RecliningObligationToBehind), na.rm=T) +
labs(x="Is it rude to recline?", title="If reclining, do you have an obligation to the person behind?") +
scale_fill_locuszoom()+theme_hc()
ggplot(data = fly) + geom_mosaic(aes(x=product(RudeToRecline), fill=EliminateReclining), na.rm=T) +
labs(x="Is it rude to recline?", title="Should reclining be eliminated?") +
scale_fill_locuszoom()+theme_hc()
ggplot(data = fly) + geom_mosaic(aes(x=product(Age), fill=RudeToBringUnrulyChild),
divider=ddecker(), na.rm=T) +
scale_fill_locuszoom()+theme_hc()
ggplot(data = fly) +
geom_mosaic(aes(x=product(FlightFreq), fill=DoYouRecline), na.rm=T) +
scale_fill_locuszoom()+theme_hc()
ggplot(data = fly) +
geom_mosaic(aes(x=product(Height), fill=RudeToRecline), na.rm=T) +
scale_fill_locuszoom()+theme_hc()
ggplot(data = fly) +
geom_mosaic(aes(x=product(HouseholdIncome), fill=FlightFreq), na.rm=T) +
scale_fill_locuszoom()+theme_hc()
ggplot(data = fly) +
geom_mosaic(aes(x=product(Seats3_2Arms), fill=WhoControlsWindowShade), na.rm=T) +
scale_fill_locuszoom()+theme_hc()
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