Data Analysis with R - Second Edition

Tony Fischetti

  • 出版商: Packt Publishing
  • 出版日期: 2018-03-28
  • 定價: $1,360
  • 售價: 8.0$1,088
  • 語言: 英文
  • 頁數: 570
  • 裝訂: Paperback
  • ISBN: 1788393724
  • ISBN-13: 9781788393720
  • 相關分類: R 語言Data Science
  • 立即出貨 (庫存=1)

買這商品的人也買了...

商品描述

Key Features

  • Load, wrangle, and analyze your data using R - the world's most powerful statistical programming language
  • Gain a deeper understanding of fundamentals of applied statistics and implement them using practical use-cases
  • A comprehensive guide specially designed to take your understanding of R for data analysis to a new level

Book Description

Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly.

Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.

Packed with engaging problems and exercises, this book begins with a review of R and its syntax. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with "messy data", large data, communicating results, and facilitating reproducibility.

This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst.

What you will learn

  • Navigate the R environment
  • Describe and visualize the behavior of data and relationships between data
  • Gain a thorough understanding of statistical reasoning and sampling
  • Employ hypothesis tests to draw inferences from your data
  • Learn Bayesian methods for estimating parameters
  • Perform regression to predict continuous variables
  • Apply powerful classification methods to predict categorical data
  • Handle missing data gracefully using multiple imputation
  • Identify and manage problematic data points
  • Employ parallelization and Rcpp to scale your analyses to larger data
  • Put best practices into effect to make your job easier and facilitate reproducibility

商品描述(中文翻譯)

主要特點


  • 使用 R 進行數據加載、整理和分析 - 這是世界上最強大的統計編程語言

  • 深入理解應用統計學的基礎知識,並通過實際案例實施

  • 一本專為提升你對 R 數據分析的理解而設計的全面指南

書籍描述

R 經常是學術界的首選工具,現在已經深入到私營部門,在一些最先進和成功的企業的生產流程中都可以找到它的身影。R 的強大和特定領域的特性使用戶能夠輕鬆、快速、簡潔地表達複雜的分析。

本書從 R 和統計推理的基礎知識開始,深入探討高級預測分析,並展示如何將這些技術應用於真實世界的數據,並提供真實案例。

本書充滿了引人入勝的問題和練習,從 R 和其語法的回顧開始。然後,深入了解應用統計學的基礎知識,並在此基礎上進行複雜而強大的分析。解決實際數據分析中的困難,找到處理“雜亂數據”、大數據、傳達結果和實現可重複性的解決方案。

本書旨在成為數據分析師職業生涯中的寶貴資源。

你將學到什麼


  • 熟悉 R 環境

  • 描述和可視化數據的行為和關係

  • 深入理解統計推理和抽樣

  • 使用假設檢驗從數據中推斷結論

  • 學習貝葉斯方法估計參數

  • 進行回歸分析以預測連續變量

  • 應用強大的分類方法預測分類數據

  • 優雅地處理缺失數據,使用多重插補

  • 識別和處理問題數據點

  • 使用並行處理和 Rcpp 擴展你的分析到更大的數據

  • 實施最佳實踐,使工作更輕鬆並實現可重複性