I have data that looks like this, df_Filtered
:
Product Relative_Value
Car 0.12651458
Plane 0.08888552
Tank 0.03546231
Bike 0.06711630
Train 0.06382191
I want to make a bar plot of the data in GGplot2:
ggplot(df_Filtered, aes(x = Product, y = Relative_Value, fill = Product)) +
scale_y_continuous(labels = scales::percent) +
geom_bar(stat = "identity") +
theme_bw() +
theme(plot.background = element_rect(colour = "black", size = 1)) +
theme(legend.position = "none") +
theme(plot.title = element_text(hjust = 0.5))
labs(x ="Product", y = "Percentage of total sell", title = "Japan 2010") +
theme(panel.grid.major = element_blank())
How do i get rid of the decimals on the y-axis in the chart? So that it says 20 %
instead of 20.0 %
?
Use percent_format
from the scales
package to set accuracy
to 1.
library(ggplot2)
library(scales)
ggplot(df_Filtered, aes(x = Product, y = Relative_Value, fill = Product)) +
scale_y_continuous(labels = percent_format(accuracy = 1)) +
geom_bar(stat = "identity") +
theme_bw() +
theme(plot.background = element_rect(colour = "black", size = 1)) +
theme(legend.position = "none") +
theme(plot.title = element_text(hjust = 0.5)) +
labs(x ="Product", y = "Percentage of total sell", title = "Japan 2010") +
theme(panel.grid.major = element_blank())
DATA
df_Filtered <- read.table(text = "Product Relative_Value
Car 0.12651458
Plane 0.08888552
Tank 0.03546231
Bike 0.06711630
Train 0.06382191",
header = TRUE, stringsAsFactors = FALSE)
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