Let’s consider a small report where you present several graphics to your audience. The report is composed of:
# Libraries
library(tidyverse)
library(hrbrthemes)
library(patchwork)
library(viridis)
# create dummy data
data <- data.frame(
product = LETTERS[1:5],
value = c(10, 14, 18, 6, 15)
)
# Plot
a <- data %>%
ggplot( aes(x=product, y=value, fill=product)) +
geom_bar(stat="identity", width=0.5) +
scale_fill_viridis(discrete=TRUE) +
ggtitle("How much the products cost") +
theme_ipsum() +
theme(
plot.title = element_text(size=12),
legend.position = "none"
) +
xlab("") +
ylab("Cost in M$")
# create dummy data
data <- data.frame(
year = rep( seq(1,10), 5 ),
product = rep(LETTERS[1:5], each=10 ),
value = c(
seq(1,10) + sample( 1:3, 10, replace = TRUE),
seq(5,14) + sample( 4:10, 10, replace=TRUE),
seq(10,1)*2 + sample( 3:5, 10, replace=TRUE),
seq(20,11) + sample( 12:17, 10, replace=TRUE),
seq(1,10) + sample( 40:10, 10))
)
# Plot
b <- data %>%
ggplot( aes(x=year, y=value, color=product)) +
geom_line() +
scale_color_discrete() +
scale_x_continuous(breaks=c(1:10)) +
ggtitle("How much the products make") +
theme_ipsum() +
theme(
plot.title = element_text(size=12)
) +
xlab("Year") +
ylab("Benefit in M$")
# Show
a + b