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.

Imagine a 3d graph in that moves with reality never violating the space of another point. Even as time warps the graph and energy is in motion due to its mass equivalence, each point respects the field lines of the graph. I could be wrong because of all the intricate data that goes into this type of stuff. I am by no means a theorist or physicist or mathematician etc., . Just arranging possibilities through know laws and well understood astronomy/physics

Test Dashboard

This is an introduction assignment for Data Mining 4080 Module Lab 2