R: Data Analysis and Visualization

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English | ISBN: 1786460483, ASIN: B01HOB5IRM | 2016 | PDF | 1783 pages

Master the art of building analytical models using R

About This Book
Load, wrangle, and analyze your data using the world's most powerful statistical programming language
Build and customize publication-quality visualizations of powerful and stunning R graphs
Develop key skills and techniques with R to create and customize data mining algorithms
Use R to optimize your trading strategy and build up your own risk management system
Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
Who This Book Is For
This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It's a seamless journey in becoming a full-stack R developer

What You Will Learn
Describe and visualize the behavior of data and relationships between data
Gain a thorough understanding of statistical reasoning and sampling
Handle missing data gracefully using multiple imputation
Create diverse types of bar charts using the default R functions
Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on
Understand relationships between market factors and their impact on your portfolio
Harness the power of R to build machine learning algorithms with real-world data science applications
Learn specialized machine learning techniques for text mining, big data, and more

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数据分析和可视化

数据分析和可视化