Keywords
R language
Data analysis
Open source
Compare
Data management
Submitted : 2024-05-21
Accepted : 2024-06-05
Published : 2024-06-20
Abstract
This research paper compares Excel and R language for data analysis and concludes that R language is more suitable for complex data analysis tasks. R language’s open-source nature makes it accessible to everyone, and its powerful data management and analysis tools make it suitable for handling complex data analysis tasks. It is also highly customizable, allowing users to create custom functions and packages to meet their specific needs. Additionally, R language provides high reproducibility, making it easy to replicate and verify research results, and it has excellent collaboration capabilities, enabling multiple users to work on the same project simultaneously. These advantages make R language a more suitable choice for complex data analysis tasks, particularly in scientific research and business applications. The findings of this study will help people understand that R is not just a language that can handle more data than Excel and demonstrate that r is essential to the field of data analysis. At the same time, it will also help users and organizations make informed decisions regarding their data analysis needs and software preferences.
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