The Data Preparation Journey: Finding Your Way with R by Martin Hugh Monkman
Requirements: .ePUB, .PDF reader, 10 MB
Overview: The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical Data Science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning. This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context. It is assumed that the reader of this book will have a working knowledge of the fundamental data manipulation functions in R (whether base or tidyverse or packages beyond those) or another programming language that supports that work. This book leans heavily on R Markdown, particularly when it comes to describing documentation and the packages of the tidyverse. Familiarity with both will be very helpful.
Genre: Non-Fiction > Tech & Devices
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Requirements: .ePUB, .PDF reader, 10 MB
Overview: The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical Data Science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning. This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context. It is assumed that the reader of this book will have a working knowledge of the fundamental data manipulation functions in R (whether base or tidyverse or packages beyond those) or another programming language that supports that work. This book leans heavily on R Markdown, particularly when it comes to describing documentation and the packages of the tidyverse. Familiarity with both will be very helpful.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://tbit.to/iyo97wr4vfas.html
https://katfile.com/cwcf6vfgceno/The_Data_Preparation_Journey_R.rar.html
https://rapidgator.net/file/6e2ea077ed2 ... R.rar.html
Trouble downloading? Read This.