This assignment solution provides comprehensive answers and insights for the subject BEY 015 Data Analysis with R and Python, ensuring a strong understanding of data analysis techniques, programming concepts, and statistical applications. It includes detailed explanations of key topics, step-by-step coding examples, and practical exercises to enhance comprehension.

The content is structured according to IGNOU guidelines, making it suitable for the latest academic session. The assignment covers data types, data manipulation, statistical functions, data visualization, and machine learning basics using R and Python. It provides in-depth coverage of libraries like NumPy, Pandas, Matplotlib, ggplot2, dplyr, and Scikit-learn, helping students learn data cleaning, transformation, and visualization techniques.

Each answer is presented in a clear, structured, and easy-to-understand manner, ensuring that students can grasp both theoretical concepts and practical coding skills. The assignment includes solved coding examples, making it easier for students to apply data analysis techniques in real-world scenarios.

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