Graphics of Large Datasets PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Graphics of Large Datasets PDF full book. Access full book title Graphics of Large Datasets by Antony Unwin. Download full books in PDF and EPUB format.

Graphics of Large Datasets

Graphics of Large Datasets PDF Author: Antony Unwin
Publisher: Springer Science & Business Media
ISBN: 0387379770
Category : Computers
Languages : en
Pages : 276

Book Description
This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the book includes many insightful examples. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. The book is accessible to readers with some experience of drawing statistical graphics.

Graphics of Large Datasets

Graphics of Large Datasets PDF Author: Antony Unwin
Publisher: Springer Science & Business Media
ISBN: 0387379770
Category : Computers
Languages : en
Pages : 276

Book Description
This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the book includes many insightful examples. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. The book is accessible to readers with some experience of drawing statistical graphics.

Mining of Massive Datasets

Mining of Massive Datasets PDF Author: Jure Leskovec
Publisher: Cambridge University Press
ISBN: 1107077230
Category : Computers
Languages : en
Pages : 480

Book Description
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Interactive Applications in Computer Graphics for Large Datasets

Interactive Applications in Computer Graphics for Large Datasets PDF Author: Yotam Livny
Publisher:
ISBN:
Category : Computer graphics
Languages : en
Pages : 73

Book Description


Mastering Large Datasets

Mastering Large Datasets PDF Author: J. T. Wolohan
Publisher: Manning Publications
ISBN: 9781617296239
Category :
Languages : en
Pages : 350

Book Description
With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Graphical Data Analysis with R

Graphical Data Analysis with R PDF Author: Antony Unwin
Publisher: CRC Press
ISBN: 1315360047
Category : Mathematics
Languages : en
Pages : 338

Book Description
See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

Getting (More Out Of) Graphics

Getting (More Out Of) Graphics PDF Author: ANTONY. UNWIN
Publisher:
ISBN: 9780367673994
Category : Business & Economics
Languages : en
Pages : 0

Book Description
This book presents a practical approach to graphic data analysis with real applications front and centre. A knowledge of Statistics is not required, just an interest in data graphics and some experience of working with data.

Envisioning Information

Envisioning Information PDF Author: Edward R. Tufte
Publisher:
ISBN: 9780961392116
Category : Cartography
Languages : en
Pages : 356

Book Description
Escaping flatland -- Micro/macro readings -- Layering and separation -- Small multiples -- Color and information -- Narratives and space and time -- Epilogue.

R Graphics Cookbook

R Graphics Cookbook PDF Author: Winston Chang
Publisher: "O'Reilly Media, Inc."
ISBN: 1449316956
Category : Computers
Languages : en
Pages : 414

Book Description
"Practical recipes for visualizing data"--Cover.

Cultural Analytics

Cultural Analytics PDF Author: Lev Manovich
Publisher: MIT Press
ISBN: 0262360632
Category : Computers
Languages : en
Pages : 332

Book Description
A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.

R in Action

R in Action PDF Author: Robert Kabacoff
Publisher: Manning Publications
ISBN: 9781617291388
Category : Computers
Languages : en
Pages : 475

Book Description
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. R in Action, Second Edition is a language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients. Purchase of the print book comes with an offer of a free PDF eBook from Manning. Also available is all code from the book.