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# Use the mtcars dataset. This is built into R and should always be available
# View() function will create a new tab in Rstudio to browse and filter the
# dataset.
View(mtcars)
# The head() function prints the first six rows of every column in the console
# but it is possible to change this default behaviour
head(mtcars)
head(mtcars, n = 10)
# Check what class of object it is
class(mtcars)
# Check the structure
str(mtcars)
# Find out the how many rows and columns it contains using dim() function
dim(mtcars)
# Alternatively use nrow() and ncol()
nrow(mtcars)
ncol(mtcars)
# Create a summary output of each variable (or column)
# Note that summary() does not apply to the row names
summary(mtcars)
# View the distrubution of a numeric variable in a histogram
hist(mtcars$mpg)
# Add more breaks if required
hist(mtcars$mpg, breaks = 20)Syntax highlighted code block
# Header 1
## Header 2
### Header 3
- Bulleted
- List
1. Numbered
2. List
**Bold** and _Italic_ and `Code` text
[Link](url) and For more details see GitHub Flavored Markdown.
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