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!