No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could.What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success.In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping.This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice.Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

    It describes how to index your data, including types you definitely need to know such as MS Word, PDF, HTML, and XML. It introduces you to searching, sorting, filtering, and highlighting search results.Lucene powers search in surprising placesWhat's Inside- How to integrate Lucene into your applications- Ready-to-use framework for rich document handling- Case studies including Nutch, TheServerSide, jGuru, etc.- Lucene ports to Perl, Python, C#/.Net, and C++- Sorting, filtering, term vectors, multiple, and remote index searching- The new SpanQuery family, extending query parser, hit collecting- Performance testing and tuning- Lucene add-ons (hit highlighting, synonym lookup, and others)

    

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    However, there was no factory. It was a company registered in name only. Apollo Tyres. Thanks to Onkar Singh Kanwar, Raunaq’s eldest son, Apollo is today one of India’s most successful automotive companies with a turnover in excess of $2 billion and factories across India and in Europe.This is the story, never told before, of how Onkar Singh Kanwar built Apollo from scratch and took it to the world stage. To do it, he had to combat strikes and union intimidation, the restrictions of the Licence Raj, politically motivated nationalisation, and near bankruptcy.As if that was not enough, he also had to endure and survive a traumatic falling-out with the father he so admired. Never before has Onkar Kanwar spoken so openly or movingly about the father he still reveres and his regrets that life should have been so different from what he would have liked it to be.The Man Behind the Wheel recounts these dramatic events in compelling detail as Onkar Kanwar follows his steadfast vision to build not just a company, but also an industrial institution. For the first time Onkar Kanwar’s closest friends and colleagues have spoken about the triumphs and the setbacks that have shaped both his and the company’s life and times. His wife and family share their personal insights of the man who is at the hub and heart of their world and how his values as a Sikh, father, brother and husband have moulded him as an entrepreneur.The Man Behind the Wheel is the insightful and exciting story of a highly successful company and its creator as he takes us on a journey through his early days in the US of the 1960s, importing and exporting in the pre-boom Middle East, to building factories in Vadodara and Chennai, and further expansion to the Netherlands and Hungary with stop-offs in China and a highly charged courtroom battle in the United States.But tellingly, it is also the story of fathers and sons and of family dynasties and responsibilities played out against the backdrop of India’s first seventy years since Independence.

    The book assumes no prior knowledge of computer programming and progressively covers all the essential steps needed to become confident and proficient in using R within a day. Topics include how to input, manipulate, format, iterate (loop), query, perform basic statistics on, and plot data, via a step-by-step technique and demonstrations using in-built datasets which the reader is encouraged to replicate on their computer. Each chapter also includes exercises (with solutions) to practice key skills and empower the reader to build on the essentials gained during this introductory course.

    You may find it for free on the web. Purchase of the Kindle edition includes wireless delivery.

    Next, it introduces the measurement and reporting of cash flows, analysis and interpretation of financial statements; cost-volume-profit analysis; full costing; budgeting, and capital investment decisions. Extensive self-assessment and review questions are included, along with a detailed glossary.

    Managerial decision making is the underlying theme, topics and applications are presented and organized in a manner that allow students to understand business research topics and functions.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    It concentrates on the models of behaviour of the basic economic units, consumers and producers. The main emphasis is on oligopoly, which is the typical market structure of the modern industrial world. In addition, this Second Edition includes a third part covering the three important topics of the theory of factor pricing, general equilibrium theory and welfare theory. The new edition thus covers all the topics usually included in textbooks on price theory.The book is written at an intermediate level, and is designed for undergraduate micro-theory courses. In addition, postgraduate courses, in which micro theory is taught not at too specialized a level, could make use of the text. The author has adopted the verbal approach, with extensive use of diagrams to illustrate the verbal exposition. Mathematical proofs (where necessary) are presented in footnotes, or, when in the text, they are printed in small print so as not to interrupt the main theme.A wealth of features make this textbook unique in both coverage and approach.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Well, here's some great news: amazing opportunities exist in the Canadian real estate market for investors who understand how big-picture economic fundamentals can be combined with sound property analysis to create exceptional wealth. Your key to success is to learn the powerful techniques that have helped thousands of others to make money and accomplish their lifestyle dreams through intelligent real estate investing.In Real Estate Investing in Canada, you'll discover the breakthrough Authentic Canadian Real Estate (ACRE) system, a step-by-step program designed to unlock the secrets behind profitable real estate investing. Developed by Canadians for Canadians, savvy investors have already used this ACRE approach to purchase nearly $1 billion in property. You can learn how the ACRE system can help you cut through real estate market hype to get honest answers about critical investment questions.In Real Estate Investing in Canada, you'll learn:how to spot a market that is over-priced or, better yet, under-priced how to know if a town will boom or bust--before it happens how to accurately analyze any property--even if you're a novice investor decide, within 30 seconds, whether a property has profit potential or not the 18 secrets to street-smart negotiations--how to use them to get the deal you want the 7 proven strategies that will get the bank to say yes to your deals how to get your offer accepted, even in a competitive market the single most important step for an overachieving real estate investor (it's not what you think!) The fundamentals of the real estate market have changed dramatically over the past few years, and investors need to know how to read the signs so they get in and--just as importantly--out of the market at the right time.So, if you're serious about informed investing, read Real Estate Investing in Canada, learn the ACRE system, and join the ranks fo Canada's top real estate investors.********************************************************Canadians are looking to real estate investing to build wealth given the unpredictable nature of the stock market. The Authentic Canadian Real Estate (ACRE) System is the first of its kind to show ordinary Canadians how to profit from investing in residential real estate. In Real Estate Investing in Canada, readers will discover how to cut through the hype and emotion of a real estate market and assess the inherent risks and rewards. Whether buying a first property or the 100th, this book gives every investor new-found tools, strategies and confidence to achieve their investment goals.What Canadian real estate investors are saying about the ACRE System and Don R. Campbell: "This is a great book. One strategy alone saved me over $28,000 in the last nine months!" -- Michael Millenaar"Full of practical Canadian content and presented in an organized and respectful system. It directly addresses how you get the money and financing you need to purchase enough real estate to achieve your goals." -- Tamara MacLaren"One of Don Campbell's great gifts is his near-genius ability to take something that appears complex and break it down into a simple step-by-step system that anyone can follow. I am convinced that everyone will thoroughly enjoy, and more important, benefit financially, by reading this book." -- Russell Westcott"The power of Real Estate Investing in Canada lies in the super simple, street-proven systems that it offers you. It makes real estate dreams possible and reachable for any Canadian. If you are serious about learning the truth, cutting through all the hype and being successful, this is your real estate bible!"-- Valden Palm, Misterrrsp.com A portion of the proceeds from this book will be donated to Habitat for Humanity Canada.Special BonusThe markets across the country are continually shifting and you must keep on top of the latest information. So, as a bonus, every registered reader of Real Estate Investing in Canada will have proprietary access to critical forms and ongoing market research at www.reincanada.com.

    Longtime Drucker colleague, collaborator, and eminent management professor Joseph A. Maciariello has organized the material to be used in conjunction with Management, Revised Edition, making the book particularly useful in undergraduate, MBA, and executive education classrooms.It contains fifteen completely new cases written especially for this edition plus another thirty-five revised and updated cases, ensuring that the book provides comprehensive coverage of the most important management dilemmas and most timeless leadership wisdom. An essential resource for business students and working professionals alike, the book will help readers test and hone their management skills.

    The success of the first five editions of Global Business Today has been based in part upon the incorporation of leading edge research into the text, the use of the up-to-date examples and statistics to illustrate global trends and enterprise strategy, and the discussion of current events within the context of the appropriate theory. Our research has shown that students and instructors alike enjoy the interesting, informative, and accessible writing style of GBT - so much so that the writing has become Charles Hill's trademark. In addition to boxed material which provides deep illustrations in every chapter, Hill carefully weaves interesting anecdotes into the narrative of the text to engage the reader.