Download Free Business Publication Graphics Book in PDF and EPUB Free Download. You can read online Business Publication Graphics and write the review.

The definitive guide to the graphic presentation of information. In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn: to choose the best chart that fits your data; the most effective way to communicate with decision makers when you have five minutes of their time; how to chart currency fluctuations that affect global business; how to use color effectively; how to make a graphic “colorful” even if only black and white are available. The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.
Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. It was designed for a distributed computing environment, with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library, the text focuses on the deep structures involved in producing quantitative graphics from data. It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics.
1.Statistics : Meaning, Nature and Limitations, 2. Statistics : Scope and Importance, 3. Statistical Investigation, 4 .Types and Collection of Data , 5 .Questionnaire and Schedule, 6 .Sample Survey, 7. Editing of Collected Data, 8 .Classification and Tabulation of Data , 9. Diagrammatic Presentation of Data, 10. Graphic Presentation of Data, 11. Construction of Frequency Distribution, 12. Measures of Central Tendency , 13. Geometric Mean and Harmonic Mean, 14. Partition Values, 15. Measures of Dispersion , 16. Measures of Skewness , 17. Moments , 18. Measures of Kurtosis, 19. Correlation, 20. Index Number, 21.Analysis of Time Series, Table (Log-Antilog).
It’s time to make your mark in the world of graphic design. There’s no doubt you’ve imagined it—placing your name and logo on business cards, taking creative control and being your own boss. Why not turn your fantasy into reality? Whether you want to start a part-time graphic design business, a full-time operation or build a substantial company with a full staff of graphic designers, everything you need to get started is at your fingertips. Learn the basic requirements, startup costs, day-to-day operations and even what to do when things don’t go as planned. Industry experts and successful graphic designers share what they’ve learned and give you the motivation and priceless tips and tricks to help you reach success. Learn how to: • Discover your market and their needs • Choose a business environment that works for you • Create a business brand that gets noticed • Write a marketing plan that captures clients and creates referrals • Develop profitable client relationships • Set your fees • Boost profits by expanding your specialty or your business Combine your creativity with Entrepreneur’s expert advice—and design your own successful graphic design business today!
Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures