Skip to content
Welcome To Our Store.
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Report Writing for Data Science in R - Paperback

$17.28 USD
$17.28 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fastest Delivery Tomorrow With Vip DealOrder within 1 hr 8 mins.

Instant 10% Discount On HDFC Banks Credit/Debit Cards EMI and CreditCard

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
  • Daily deals
  • Return policy
  • Payment method
  • Help center 24/7

Flight Range: Up to 1,000 meters (3,280 feet)

Maximum Speed: 45 kilometers per hour (28 miles per hour)

For all orders exceeding a value of 100USD shipping is offered for free.

Returns will be accepted for up to 10 days of Customer’s receipt or tracking number on unworn items. You, as a Customer, are obliged to inform us via email before you return the item.

Otherwise, standard shipping charges apply. Check out our delivery Terms & Conditions for more details.

View Product Details
Shopping cart
Product Product subtotal Quantity Price Product subtotal
Report Writing for Data Science in R - Paperback
Report Writing for Data Science in R - Paperback
Report Writing for Data Science in R - Paperback
$17.28/ea
$0.00
$17.28/ea $0.00

Product Description

by Roger Peng (Author)

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.

Number of Pages: 128
Dimensions: 0.3 x 9 x 6 IN
Publication Date: December 03, 2015
you might like