dplyr: 100 Tips and Strategies for Advanced Data Manipulation in R

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The dplyr package in R is a powerful tool for data manipulation. Here are 100 tips for working with dplyr:

1. Basics:

1. Install dplyr with install.packages("dplyr").
2. Load dplyr with library(dplyr).

2. Data Frames:

1. Manipulate data frames with dplyr.
2. Use tibble() for creating tidy data frames.

3. Selecting Columns:

1. Select columns with select() and exclude columns with -.
2. Use starts_with(), ends_with(), and contains() for selecting columns.

4. Filtering Rows:

1. Filter rows based on conditions with filter().
2. Use logical operators (&, |) for complex filtering.

5. Arranging Data:

1. Arrange data frames with arrange().
2. Use desc() for descending order.

6. Mutate:

1. Create new variables with mutate().
2. Use transmute() for creating and dropping variables in one step.

7. Summarize:

1. Summarize data with…