This directory focuses on essential data manipulation techniques in R, utilizing core packages like dplyr and tidyr. Mastering these techniques is crucial for effective data analysis and visualization.

• 01-Selecting-Columns/: Techniques to select and rename columns using select() from dplyr.
• 02-Filtering-Rows/: Methods to filter rows based on specific conditions using filter() from dplyr.
• 03-Sorting-Data/: Approaches to sort data frames using arrange() from dplyr.
• 04-Merging-Data/: Strategies to merge datasets using functions like left_join() and right_join() from dplyr.
• 05-Grouping-and-Summarizing/: Techniques to group data and compute summary statistics using group_by() and summarize() from dplyr.

To explore these data manipulation techniques:

1. Clone the Repository:

   git clone https://github.com/KasrAskari/learn-R-codes.git
   cd learn-R-codes/Data-Manipulation

2. Explore the Examples: Navigate through the subdirectories to access R scripts and examples demonstrating various data manipulation methods.

• R: Install from CRAN.
• RStudio (recommended): Download from RStudio.
• tidyverse Package: Install using:

  install.packages("tidyverse")

Contributions are welcome! Feel free to fork the repository, add new examples or improvements, and submit a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

Enhance your data manipulation skills in R with these practical examples.