Tidyverse: 100 Essential Tips and Strategies for R’s Powerful Toolkit

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The Tidyverse is a collection of R packages designed for data science. Here are 100 tips for working with the Tidyverse:

1. Installation and Loading:

1. Install the Tidyverse with install.packages("tidyverse").
2. Load the Tidyverse packages with library(tidyverse).

2. Tidy Data Principles:

1. Follow the principles of tidy data: each variable in a column, each observation in a row.
2. Use the gather() function to convert wide data to long format.

3. Data Frames:

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

4. Data Exploration:

1. Explore data with head() and summary().
2. Count unique values in a column with count().

5. Data Filtering:

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

6. Data Selection:

1. Select columns with select() and exclude columns with…