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library ( shiny ) library ( gtrendsR ) library ( ggplot 2 ) ui < - fluidPage ( titlePanel ( Google Trends Data Visualization

library(shiny)
library(gtrendsR)
library(ggplot2)
ui <- fluidPage(
titlePanel("Google Trends Data Visualization"),
sidebarLayout(
sidebarPanel(
dateRangeInput("dateRange", "Select Date Range",
start ="2022-01-01",
end = format(Sys.Date(),"%Y-%m-%d")),
actionButton("submit", "Generate Plot")
),
mainPanel(
plotOutput("trendPlot")
)
)
)
server <- function(input, output){
observeEvent(input$submit, {
req(input$dateRange)
start_date <- format(input$dateRange[1],"%Y-%m-%d")
end_date <- format(input$dateRange[2],"%Y-%m-%d")
Data <- gtrends(keyword = c('APPLE', 'META'), geo ="US", time = paste(start_date, end_date))
ggplot(Data, aes(x = date, y = hits, color = keyword))+
geom_point()+
labs(title = "Google Trends Data",
x = "Date",
y = "Search Volume")
})
}
shinyApp(ui = ui, server = server)
Download data for names of any two companies of your interest from Google Trends. You can use the following example code: Data<-gtrends(keyword=c('APPLE','META'))
Create a Shiny app with date-range input to select a start date and an end date.
The Shiny app should show a point plot for both companies over time. The points should have different colors based on the company (use color parameter of ggplot)

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