Shiny web app that imitates the Gapminder bubble interactive animation.
Inspired by Gapminder's comprehensive data visualization tool, I created a Shiny web app that functions in a similar way. The app contains a slider that allows the user to choose a specific year to examine. The user is able to choose between a logarithmic or identity transformation of the data on either axis. The user is allowed to choose which variables to display on the X and Y axes. The user is also able to highlight certain countries.
bubbles-parametarized.R contains the code that modifies the data and plots a snapshot of the data shown in the shiny app. The following variables are placeholders. For example, in the shinyapp, input$xVar is an interactive variable that allows the user to choose between "mortality" "expectancy" "income" "population".
selectedYear <- 2002 #Choose a year from 1800-2018
xVar <- "mortality" #Pick one of: "mortality" "expectancy" "income" "population"
yVar <- "income" #Pick one of: "mortality" "expectancy" "income" "population"
xLabel <- "Child Mortality\n(Number of 0-5 year olds died per 1000 births)" #Give appropriate label, suggestions: "Child Mortality\n(Number of 0-5 year olds died per 1000 births)", "Life Expectancy (in years)", ""GDP per Capita \n (inflation-adjusted)", "Population"
yLabel <- "GDP per Capita" #Give appropriate label, suggestions: "Child Mortality\n(Number of 0-5 year olds died per 1000 births)", "Life Expectancy (in years)", ""GDP per Capita \n (inflation-adjusted)", "Population"
xTrans <- "identity" #Pick one of "identity", "log2"
yTrans <- "log2" #Pick one of "identity", "log2"
xDollar <- F #Pick T or F
yDollar <- T #Pick T or F
countriesOfInterest <- c("India","United States","Nigeria") #name countries to highlight and label
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