This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
You can also embed plots, for example:
x <- c(7, 15, 23, 12, 44, 56, 32)
barplot(x, xlab = "GeeksforGeeks Audience",
ylab = "Count", col = "white",
col.axis = "darkgreen",
col.lab = "darkgreen")
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.2.3
library(dplyr)
## Warning: package 'dplyr' was built under R version 4.2.3
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
# Create a synthetic dataset
set.seed(123)
data <- data.frame(
Category = rep(LETTERS[1:5], each = 20),
Value = rnorm(100, mean = 50, sd = 10)
)
ggplot(data, aes(x = Category, y = Value)) +
geom_boxplot(fill = "lightpink", color = "black") +
labs(title = "Box Plot", x = "Category", y = "Value")
set.seed(123)
data <- data.frame(
Category = rep(LETTERS[1:5], each = 20),
Value = rnorm(100, mean = 50, sd = 10)
)
# Create a pie chart
data_pie <- data %>%
group_by(Category) %>%
summarize(Count = n())
ggplot(data_pie, aes(x = "", y = Count, fill = Category)) +
geom_bar(stat = "identity") +
coord_polar("y") +
labs(title = "Pie Chart") +
theme_void()
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.