Some explanations about the dataset, visualizations you chose to create, etc…
Colorful map of the world
Some explanations… And a cool interactive visualization:
library(plotly)
df <- read.csv("https://raw.githubusercontent.com/plotly/datasets/master/polar_dataset.csv")
p <- plot_ly(
df,
type = 'scatterpolar',
mode = 'lines'
) %>%
add_trace(
r = ~x1,
theta = ~y,
name = 'Figure8',
line = list(
color = 'peru'
)
) %>%
add_trace(
r = ~x2,
theta = ~y,
name = 'Cardioid',
line = list(
color = 'darkviolet'
)
) %>%
add_trace(
r = ~x3,
theta = ~y,
name = 'Hypercardioid',
line = list(
color = 'deepskyblue'
)
) %>%
add_trace(
r = ~x4,
theta = ~y,
name = 'Subcardioid',
line = list(
color = 'orangered'
)
) %>%
add_trace(
r = ~x5,
theta = ~y,
name = 'Supercardioid',
line = list(
color = 'green'
)
) %>%
layout(
title = 'Mic Patterns',
font = list(
family = 'Arial',
size = 12,
color = '#000'
),
showlegend = F
)
p