Daróczi - Mastering data analysis with R: gain clear insights into your data and solve real-world data science problems with R--from data munging to modeling and visualization

Gergely Darczi is a former assistant professor of statistics and an enthusiastic R user and package developer. He is the founder and CTO of an R-based reporting web application at http://rapporter.net and a PhD candidate in sociology. He is currently working as the lead R developer/research data scientist at https://www.card.com/ in Los Angeles.

Besides maintaining around half a dozen R packages, mainly dealing with reporting, Gergely has coauthored the books Introduction to R for Quantitative Finance and Mastering R for Quantitative Finance (both by Packt Publishing) by providing and reviewing the R source code. He has contributed to a number of scientific journal articles, mainly in social sciences but in medical sciences as well.

I am very grateful to my family, including my wife, son, and daughter, for their continuous support and understanding, and for missing me while I was working on this booka lot more than originally planned.

I am also very thankful to Renata Nemeth and Gergely Toth for taking over the modeling chapters. Their professional and valuable help is highly appreciated. David Gyurko also contributed some interesting topics and preliminary suggestions to this book. And last but not least, I received some very useful feedback from the official reviewers and from Zoltan Varju, Michael Puhle, and Lajos Balint on a few chapters that are highly related to their field of expertisethank you all!

Krishna Gawade is a data analyst and senior software developer with Saint-Gobain's S.A. IT development center. Krishna discovered his passion for computer science and data analysis while at Mumbai University where he holds a bachelor's degree in computer science. He has been awarded multiple times from Saint-Gobain for his contribution on various data driven projects.

He has been a technical reviewer on R Data Analysis Cookbook (ISBN: 9781783989065). His current interests are data analysis, statistics, machine learning, and artificial intelligence. He can be reached at <>, or you can follow him on Twitter at @gawadesk.

Alexey Grigorev is an experienced software developer and data scientist with five years of professional experience. In his day-to-day job, he actively uses R and Python for data cleaning, data analysis, and modeling.

Mykola Kolisnyk has been involved in test automation since 2004 through various activities, including creating test automation solutions from the scratch, leading test automation teams, and performing consultancy regarding test automation processes. In his career, he has had experience of different test automation tools, such as Mercury WinRunner, MicroFocus SilkTest, SmartBear TestComplete, Selenium-RC, WebDriver, Appium, SoapUI, BDD frameworks, and many other engines and solutions. Mykola has experience with multiple programming technologies based on Java, C#, Ruby, and more. He has worked for different domain areas, such as healthcare, mobile, telecommunications, social networking, business process modeling, performance and talent management, multimedia, e-commerce, and investment banking.

He has worked as a permanent employee at ISD, GlobalLogic, Luxoft, and Trainline.com. He also has experience in freelancing activities and was invited as an independent consultant to introduce test automation approaches and practices to external companies.

Currently, he works as a mobile QA developer at the Trainline.com. Mykola is one of the authors (together with Gennadiy Alpaev) of the online SilkTest Manual (http://silktutorial.ru/) and participated in the creation of the TestComplete tutorial at http://tctutorial.ru/, which is one of the biggest related documentation available at RU.net.

Besides this, he participated as a reviewer on TestComplete Cookbook (ISBN: 9781849693585) and Spring Batch Essentials , Packt Publishing (ISBN: 9781783553372).

Mzabalazo Z. Ngwenya holds a postgraduate degree in mathematical statistics from the University of Cape Town. He has worked extensively in the field of statistical consulting and currently works as a biometrician at a research and development entity in South Africa. His areas of interest are primarily centered around statistical computing, and he has over 10 years of experience with the use of R for data analysis and statistical research. Previously, he was involved in reviewing Learning RStudio for R Statistical Computing , Mark P.J. van der Loo and Edwin de Jonge ; R Statistical Application Development by Example Beginner's Guide , Prabhanjan Narayanachar Tattar ; R Graph Essentials , David Alexandra Lillis ; R Object-oriented Programming , Kelly Black ; and Mastering Scientific Computing with R , Paul Gerrard and Radia Johnson . All of these were published by Packt Publishing.

Mohammad Rafi is a software engineer who loves data analytics, programming, and tinkering with anything he can get his hands on. He has worked on technologies such as R, Python, Hadoop, and JavaScript. He is an engineer by day and a hardcore gamer by night.

He was one of the reviewers on R for Data Science . Mohammad has more than 6 years of highly diversified professional experience, which includes app development, data processing, search expert, and web data analytics. He started with a web marketing company. Since then, he has worked with companies such as Hindustan Times, Google, and InMobi.