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Instant Heat Maps in R How-to by Sebastian Raschka

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Preface

This book is about the construction of heat maps using the popular statistical programming language R. Heat maps are valuable tools for exploratory data analyses in many different applications, such as gene expression levels or stock market data. Together with powerful clustering methods, heat maps are being used to visually detect interesting patterns at one glance, even in very large data sets with hundreds of variables.

This book is a hands-on guide to provide you with a practical approach to construct such powerful heat maps. You will explore the advanced features of heat maps step-by-step, and detailed explanations on the underlying code at the end of each recipe will provide you with enough information to frame those heat maps as ...

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