Posted by **hill0** at Dec. 17, 2016

English | 16 Dec. 2016 | ISBN: 3319455982 | 252 Pages | EPUB | 1.09 MB

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process.

Posted by **naag** at March 13, 2017

Posted by **naag** at Dec. 30, 2016

Posted by **arundhati** at Nov. 22, 2016

2016 | ISBN-10: 3319455982 | 238 pages | PDF | 7 MB

Posted by **Grev27** at March 1, 2016

English | ISBN: n/a | 2016 | PDF | 245 pages | 2,6 MB

Posted by **Max-X** at May 2, 2015

English | February 2015 | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1920x1080, 29.97 fps(r) | 3.02 GB

Analysts often spend 50-80% of their time preparing and transforming data sets before they begin more formal analysis work.

Posted by **hill0** at March 23, 2017

English | 23 Feb. 2017 | ISBN: 1498724485 | 582 Pages | PDF | 91.04 MB

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data.

Posted by **hill0** at March 15, 2017

English | 20 Feb. 2017 | ISBN: 3319497502 | 404 Pages | PDF | 31.42 MB

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming.

Posted by **naag** at Feb. 28, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 4.04 GB

R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

Posted by **naag** at Feb. 22, 2017

English | 20 Feb. 2017 | ISBN: 3319497502 | 390 Pages | Epub | 2 MB