Hands On Exploratory Data Analysis with R Book [PDF] Download

Download the fantastic book titled Hands On Exploratory Data Analysis with R written by Radhika Datar, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Hands On Exploratory Data Analysis with R", which was released on 31 May 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Hands On Exploratory Data Analysis with R by Radhika Datar PDF

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key FeaturesSpeed up your data analysis projects using powerful R packages and techniquesCreate multiple hands-on data analysis projects using real-world dataDiscover and practice graphical exploratory analysis techniques across domainsBook Description Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand your data and summarize its main characteristics. You'll also uncover the structure of your data, and you'll learn graphical and numerical techniques using the R language. This book covers the entire exploratory data analysis (EDA) process—data collection, generating statistics, distribution, and invalidating the hypothesis. As you progress through the book, you will learn how to set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using tools such as DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems. By the end of this book, you will be able to successfully carry out a preliminary investigation on any dataset, identify hidden insights, and present your results in a business context. What you will learnLearn powerful R techniques to speed up your data analysis projectsImport, clean, and explore data using powerful R packagesPractice graphical exploratory analysis techniquesCreate informative data analysis reports using ggplot2Identify and clean missing and erroneous dataExplore data analysis techniques to analyze multi-factor datasetsWho this book is for Hands-On Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation for data analysis. If you are a data analyst, data engineer, software engineer, or product manager, this book will sharpen your skills in the complete workflow of exploratory data analysis.


Detail About Hands On Exploratory Data Analysis with R PDF

  • Author : Radhika Datar
  • Publisher : Packt Publishing Ltd
  • Genre : Computers
  • Total Pages : 254 pages
  • ISBN : 1789802083
  • PDF File Size : 19,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R
  • Publisher : Packt Publishing Ltd
  • File Size : 30,6 Mb
  • Release Date : 31 May 2019
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Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key FeaturesSpeed up your data analysis projects using powerful R packages and techniquesCreate multiple

Exploratory Data Analysis with R

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  • Publisher : Lulu.com
  • File Size : 22,8 Mb
  • Release Date : 19 April 2012
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This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex

Hands-On Exploratory Data Analysis with Python

Hands-On Exploratory Data Analysis with Python
  • Publisher : Packt Publishing Ltd
  • File Size : 42,7 Mb
  • Release Date : 27 March 2020
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Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandas Key FeaturesUnderstand the fundamental concepts of exploratory data analysis using PythonFind missing values in your

R for Data Science

R for Data Science
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 21,7 Mb
  • Release Date : 12 December 2016
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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed

Exploratory Data Analysis Using R

Exploratory Data Analysis Using R
  • Publisher : CRC Press
  • File Size : 46,6 Mb
  • Release Date : 04 May 2018
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Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in

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R Data Analysis Cookbook
  • Publisher : Packt Publishing Ltd
  • File Size : 47,7 Mb
  • Release Date : 20 September 2017
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Over 80 recipes to help you breeze through your data analysis projects using R About This Book Analyse your data using the popular R packages like ggplot2 with ready-to-use and customizable

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Practical Statistics for Data Scientists
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 40,9 Mb
  • Release Date : 10 May 2017
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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic

Modern Statistics with R

Modern Statistics with R
  • Publisher : BoD - Books on Demand
  • File Size : 42,9 Mb
  • Release Date : 28 July 2021
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The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is

Hands-On Data Analysis in R for Finance

Hands-On Data Analysis in R for Finance
  • Publisher : CRC Press
  • File Size : 43,8 Mb
  • Release Date : 16 November 2022
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The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries.