Data Analytics With R

Transforming Raw Data into Actionable Insights with R – A Practical Approach to Business Intelligence and Analytics

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.

Unlock actionable insights into customer behavior and enhance decision-making with advanced analytics using R, Tableau!

Master data-driven pricing strategies with R and Tableau to optimize business profitability and decision-making.

Tap into the realm of social media and unleash the power of analytics for data-driven insights using R
About This Book
A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data
Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms.
Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering.