PDF⋙ Data Analysis with R by Tony Fischetti
Data Analysis with R by Tony Fischetti
Data Analysis with R by Tony Fischetti PDF, ePub eBook D0wnl0ad
Key Features
- Load, manipulate and analyze data from different sources
- Gain a deeper understanding of fundamentals of applied statistics
- A practical guide to performing data analysis in practice
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. With over 7,000 user contributed packages, it's easy to find support for the latest and greatest algorithms and techniques.
Starting with the basics of R and statistical reasoning, Data Analysis with R 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
About the Author
Tony Fischetti is a data scientist at College Factual, where he gets to use R everyday to build personalized rankings and recommender systems. He graduated in cognitive science from Rensselaer Polytechnic Institute, and his thesis was strongly focused on using statistics to study visual short-term memory.
Tony enjoys writing and and contributing to open source software, blogging at onthelambda.com, writing about himself in third person, and sharing his knowledge using simple, approachable language and engaging examples.
The more traditionally exciting of his daily activities include listening to records, playing the guitar and bass (poorly), weight training, and helping others.
Table of Contents
- RefresheR
- The Shape of Data
- Describing Relationships
- Probability
- Using Data to Reason About the World
- Testing Hypotheses
- Bayesian Methods
- Predicting Continuous Variables
- Predicting Categorical Variables
- Sources of Data
- Dealing with Messy Data
- Dealing with Large Data
- Reproducibility and Best Practices
From reader reviews:
Elizabeth Webster:
Playing with family within a park, coming to see the coastal world or hanging out with buddies is thing that usually you will have done when you have spare time, after that why you don't try issue that really opposite from that. One activity that make you not sense tired but still relaxing, trilling like on roller coaster you are ride on and with addition info. Even you love Data Analysis with R, it is possible to enjoy both. It is great combination right, you still need to miss it? What kind of hang-out type is it? Oh occur its mind hangout people. What? Still don't buy it, oh come on its referred to as reading friends.
Margo Soares:
Your reading sixth sense will not betray anyone, why because this Data Analysis with R reserve written by well-known writer whose to say well how to make book which might be understand by anyone who also read the book. Written with good manner for you, leaking every ideas and publishing skill only for eliminate your personal hunger then you still doubt Data Analysis with R as good book not only by the cover but also by content. This is one reserve that can break don't ascertain book by its include, so do you still needing one more sixth sense to pick this!? Oh come on your studying sixth sense already told you so why you have to listening to a different sixth sense.
Jessica Palmer:
You can obtain this Data Analysis with R by look at the bookstore or Mall. Just viewing or reviewing it could possibly to be your solve difficulty if you get difficulties to your knowledge. Kinds of this e-book are various. Not only through written or printed but in addition can you enjoy this book simply by e-book. In the modern era similar to now, you just looking by your local mobile phone and searching what their problem. Right now, choose your own ways to get more information about your e-book. It is most important to arrange yourself to make your knowledge are still revise. Let's try to choose proper ways for you.
Read Data Analysis with R by Tony Fischetti for online ebook
Data Analysis with R by Tony Fischetti Free PDF d0wnl0ad, audio books, books to read, good books to read, cheap books, good books, online books, books online, book reviews epub, read books online, books to read online, online library, greatbooks to read, PDF best books to read, top books to read Data Analysis with R by Tony Fischetti books to read online.
Komentar
Posting Komentar