Mohamed Chenini
2018-01-17
This presentation is a project which is part of the Coursera Data Science Specialization course: Developing Data Products.
The project consists of the following:
The Shiny application is composed by two R files
ui.R that control the USER interface
server.R where all computation (statistical for instance) is done.
The R code is saved in Github at this link ShinyApp
This Shiny application is a “movies explorer”.
On the left panel from the drop down menu titled “Which genre” you can select a movie genre (category) for instance “Action”, then from the bottom drop down menu titled “Pick a movie”, you select a movie. There is a button named “Redraw graph” which will draw, on the right panel under the “Budgets overtime” tab, a curve representing the expenses over a time range which can be adjusted on the left panel from the “Year” slider The right panel also display another tab called “Movie picker” which gives information about a specific movie.
The application can be accessed on the shinyapps.io website at Movie Picker
data(mtcars)
mtcars$vs <- as.factor(mtcars$vs)
mtcars$am <- as.factor(mtcars$am)
boxplot(mpg ~ am, data = mtcars,
col = c("orange", "blue"),
xlab = "Transmission",
ylab = "Miles per Gallon",
main = "MPG by Transmission Type",
names= c("automatic","manual"),
horizontal= T)