This R package provides a comprehensive tutorial designed for beginners in data analytics. It includes detailed explanations of fundamental concepts such as data types, sources, and the steps involved in data analytics, all presented through real-world examples and hands-on R code snippets. Key features include: - An introduction to different types of analytics (descriptive, diagnostic, predictive, and prescriptive). - Practical demonstrations using R for data manipulation, visualization, and analysis. - Examples of applications in various industries such as retail, healthcare, and finance. - A focus on helping users understand the end-to-end process of turning raw data into actionable insights. This package is ideal for individuals who are new to data analytics and looking to apply R programming to solve real-world data problems. The content is educational and can be used for self-study or as part of structured learning programs.

This R Markdown document provides an overview of the Shiny app titled "Data Analytics in Action." This app demonstrates the power of data analytics across various industries. Users can choose an industry and a type of analytics to explore how data transforms decision-making.