I have an assignment due tonight and I have to create one last plot: a radar chart in Shiny.
I can't figure it out despite creating a "normal" radar chart using this code:
mvr <- fifa %>%
filter (year == 2021) %>%
filter (short_name %in% c("L. Messi", "Cristiano Ronaldo")) %>%
select (-"short_name", -"age", -"height_cm", -"weight_kg", -"nationality", -"club_name", -"league_rank", -"overall", -"potential", -"value_eur", -"wage_eur", -"preferred_foot", -"team_position", -"year", -"Position")
maxmin <- data.frame( Attack = c(99,0), Skill = c(99,0), Movement = c(99,0), Power = c(99,0), Mentality = c(99,0), Defense = c(99,0), Goalkeeping = c(99,0) )
rownames(maxmin) <- c("Max", "Min")
comparison <- bind_rows(maxmin, mvr)
radarchart(comparison)
My database is "fifa" composed of multiple rows of players and columns of player performance attributes, year, club name, etc. I want to only select two players each time and compare their performance attributes using a radar chart.
I want to recreate the code above for my Shiny dashboard. Any one has an idea ?
I wrote this:
output$radar <- renderPlotly({
mvr <- filter(fifa, name == input$short_name) %>%
select (-"short_name", -"age", -"height_cm", -"weight_kg", -"nationality", -"club_name", -"league_rank", -"overall", -"potential", -"value_eur", -"wage_eur", -"preferred_foot", -"team_position", -"year", -"Position")
maxmin <- data.frame( Attack = c(99,0), Skill = c(99,0), Movement = c(99,0), Power = c(99,0), Mentality = c(99,0), Defense = c(99,0), Goalkeeping = c(99,0) )
rownames(maxmin) <- c("Max", "Min")
comparison <- bind_rows(maxmin, mvr)
fig <- plot_ly(comparison)})
But it's not working.
Try this app on the Rstudio Shiny Gallery
https://shiny.rstudio.com/gallery/soccer-player-similarity.html