menu
{ "item_title" : "Report Writing for Data Science in R", "item_author" : [" Roger Peng "], "item_description" : "This book teaches the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducibility is the idea that data analyses should be published or made available with their data and software code so that others may verify the findings and build upon them. The need for reproducible report writing is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This book will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/32/973/364/1329733649_b.jpg", "price_data" : { "retail_price" : "12.00", "online_price" : "12.00", "our_price" : "12.00", "club_price" : "12.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Report Writing for Data Science in R|Roger Peng

Report Writing for Data Science in R

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book teaches the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducibility is the idea that data analyses should be published or made available with their data and software code so that others may verify the findings and build upon them. The need for reproducible report writing is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This book will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.

This item is Non-Returnable

Details

  • ISBN-13: 9781329733640
  • ISBN-10: 1329733649
  • Publisher: Lulu.com
  • Publish Date: December 2015
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.44 pounds
  • Page Count: 128

Related Categories

You May Also Like...

    1

BAM Customer Reviews