Data Manipulation and Transformation with dplyr and tidyr: Focus on the powerful data manipulation capabilities offered by packages like dplyr and tid

Data Manipulation and Transformation with dplyr and tidyr: Focus on the powerful data manipulation capabilities offered by packages like dplyr and tidyr in R. Discuss techniques for data cleaning, reshaping, summarizing, and merging datasets.
Prepare a survey paper (min 5 pages) For a survey paper, the typical parts include: Title: Clearly indicating the topic of the paper. Abstract: A concise summary of the paper’s main contributions, findings, and key points. Introduction: Providing an overview of the topic, its relevance, and the scope of the survey. Background and Context: Providing necessary background information and context for understanding the topic. Literature Review: Summarizing existing research and publications in the field. Methodology (if applicable): Detailing the approach used for conducting the survey. Main Content: Divided into sections based on the different aspects or subtopics of the subject. Each section should provide a comprehensive review of the literature, including key findings, methodologies, and critical evaluations. Discussion: Analyzing and synthesizing the information presented in the main content, highlighting trends, commonalities, and areas of disagreement or contention. Conclusion: Summarizing the main findings of the survey and providing insights or recommendations based on the literature reviewed. Future Directions: Suggesting potential areas for future research based on gaps identified in the existing literature. References: Citing all the sources and references used in the paper