How do I make an interactive radar chart in r shiny? - r

Question

I'm pretty new to r and shiny and I am currently working on my first personal project. My project is about Pokemon and I am currently having trouble creating an interactive radar chart. I have tried looking at other questions about on this website about r and radar charts but couldn't really find the right answer since the dataset was usually in a different format, and the answers didn't provide a way to do it interactively.
What I'm trying to achieve: Create an interactive radar chart where the user can select a Pokemon and the radar chart will display that Pokemon's base stats (hp, attack, defense, etc.)
dataset:
name hp defense attack sp_attack sp_defense speed
1 Bulbasaur 45 49 49 65 65 45
2 Ivysaur 60 63 62 80 80 60
3 Venusaur 80 123 100 122 120 80
4 Charmander 39 43 52 60 50 65
5 Charmeleon 58 58 64 80 65 80
6 Charizard 78 78 104 159 115 100
...
ui.R:
library(shiny)
library(plotly)
ui <- navbarPage(title = "Pokemon Research",
tabPanel(title = "Types and Stats",
sidebarPanel(
selectInput(inputId = "diff_stat",
label = "Different Types and their Base Statistics",
choices = c("hp", "attack", "defense", "special_attack",
"special_defense", "speed", "total"))
),
mainPanel(plotlyOutput("type"))),
tabPanel(title = "Pokemon Statistics",
sidebarPanel(
selectInput(inputId = "indv",
label = "Pokemon",
choices = data$name
),
#IDK WHAT TO PUT HERE FOR THE MAINPANEL
)))
server.R:
library("shiny")
library("ggplot2")
data <- read.csv("../data/pokemon.csv", stringsAsFactors = FALSE)
type_data <- data %>%
select(name, type1, hp, defense, attack, sp_attack, sp_defense, speed) %>%
group_by(type1) %>%
summarise(hp = mean(hp),
attack = mean(attack),
defense = mean(defense),
special_attack = mean(sp_attack),
special_defense = mean(sp_defense),
speed = mean(speed),
total = mean(attack + defense + hp + sp_attack + sp_defense + speed))
indv_data <- data %>%
select(name, hp, defense, attack, sp_attack, sp_defense, speed)
server <- function(input, output) {
output$type <- renderPlotly({
ggplot(data = type_data, mapping = aes_string(x = "type1", y = input$diff_stat)) +
geom_line(group = 1) +
geom_point() +
labs(x = "Types",
y = "Base Stat (avg)")
})
output$radar <- renderPlot({
#WHAT DO I PUT HERE TO MAKE THE RADAR CHART
})
}
Any help is greatly appreciated!

Answer 1

This can help. I only included the code for the radar chart.
library(tidyverse)
library(shiny)
library(plotly)
pokemons <-
read_table('
name hp defense attack sp_attack sp_defense speed
Bulbasaur 45 49 49 65 65 45
Ivysaur 60 63 62 80 80 60
Venusaur 80 123 100 122 120 80
Charmander 39 43 52 60 50 65
Charmeleon 58 58 64 80 65 80
Charizard 78 78 104 159 115 100')
ui <- navbarPage(title = "Pokemon Research",
tabPanel(title = "Pokemon Statistics",
sidebarPanel(
selectInput(inputId = "indv",
label = "Pokemon",
choices = pokemons$name,
selected = 'Bulbasaur')
),
mainPanel(
plotlyOutput('radar') #the radar plot
)
))
server <- function(input, output, session) {
output$radar <- renderPlotly({
pkmn <- filter(pokemons, name == input$indv)
r <- map_dbl(pkmn[, 2:6], ~.x)
nms <- names(r)
#code to plot the radar
fig <- plot_ly(
type = 'scatterpolar',
r = r,
theta = nms,
fill = 'toself',
mode = 'markers'
)
fig <- fig %>%
layout(
polar = list(
radialaxis = list(
visible = T,
range = c(0,max(r))
)
),
showlegend = F
)
})
}
shinyApp(ui, server)