Gourav Kumar Sah.pdfhgggghhhhhhhhhhhhhhhhh
- 1. Name- Gourav Kumar Sah Stream- BBA-Global Business Semester- 3 Roll No- 34442023013 Subject Name- R Programming & Data Analtics Subject Code- MIC 303 (B)
- 2. is a powerful language for statistical computing and graphics. This presentation will provide a for beginners, covering key concepts, tools, and applications. By the end, you'll have a solid foundation to start your journey in data analysis and visualization using R.
- 3. To begin your journey in , you need to install R and RStudio. R is the language, while RStudio is an integrated development environment (IDE) that enhances your coding experience. Familiarize yourself with the interface, as it will be your main tool for writing and executing R code. Getting Started with R
- 4. Understanding is crucial in R. Key data types include , , ,and .Each type serves different purposes, allowing you to store and manipulate data effectively. Mastering these concepts will enable you to write efïŹcient and clean R code.
- 5. History and Overview of R and RStudio History of R 1. Origins of R: S Language: R traces its roots to the S programming language, developed in the late 1970s by John Chambers and others at Bell Laboratories (formerly AT&T, now part of Nokia). S was designed for data analysis and statistical computing. Birth of R: R was created by Ross Ihaka and Robert Gentleman in the mid-1990s at the University of Auckland, New Zealand. They aimed to develop a free, open-source implementation of S, which was both more accessible and flexible. Initial Release: The first version of R was released in 1995. By 2000, R had gained substantial popularity, leading to the formation of the R Core Team, a group of developers responsible for the ongoing development of R.
- 6. One of R's greatest strengths is its ability to create stunning packages like .Using ,you can generate a variety of plots to represent your data graphically. Visualization is essential for interpreting results and communicating insights effectively to your audience. Data Visualization with R
- 7. In conclusion, R Programming offers a versatile toolkit for beginners in data analysis. By mastering the fundamentals, you can explore advanced topics and applications in .Continue practicing and experimenting with R to deepen your understanding and enhance your analytical skills. Conclusion and Next Steps
- 8. Thanks!