Data Manipulation with dplyr: A Grammar for Data

Data manipulation often entails tasks like filtering, summarizing, grouping, and joining datasets. The dplyr package, authored by Hadley Wickham, simplifies these operations by providing a consistent and intuitive grammar for data manipulation. It introduces five core verbs:

• filter(): Use this verb to extract specific rows from your dataset based on certain conditions.
• arrange(): Arrange the rows of your dataset based on one or more variables, either in ascending or descending order.
• select(): Choose a subset of columns from your dataset, making it easier to focus on the relevant data.
• mutate(): Create new variables or modify existing ones by applying functions or operations to your data.
• summarize(): Condense your data into summary statistics, aggregating information in a meaningful way.