Download or read book Graphing Statistics Data written by Anders Wallgren and published by SAGE. This book was released on 1996-06-25 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the technique and art of producing good charts. Carefully written with many examples and illustrations, the book begins with an introduction to the building blocks of charts (axes, scales and patterns) and then describes each step involved in creating effective and easy-to-read charts.
Download or read book Dynamic Graphics Statistics written by Cleveland and published by CRC Press. This book was released on 1988-07-08 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential characteristic of a dynamic graphical method is the direct manipulation of elements of a graph on a computer screen, which in high-performance implementations, the elements change virtually instantaneously on the screen. This book contains a collection of papers about dynamic graphics dating from the late 1960s to 1988. Although technology has advanced considerably, the fundamental ideas about basic graphical principles and data-analytic goals are still relevant today.
Download or read book Graphing Data written by Gary T. Henry and published by SAGE Publications, Incorporated. This book was released on 1994-11-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can applied researchers present and analyze their research data more effectively? By applying the techniques described in this volume, social scientists will be able to make the most efficient use of their data as well as making it more accessible. The book uses many examples to illustrate effective graphical displays of data and offers practical techniques for producing graphs. Beginning with a discussion of what has been learned from visual perception research that relates to graphing data, the book then covers: the use of graphs for summarizing data; the display of multiple units; ways to improve tabular displays; graphical alternatives to tables; two variable scatterplots as graphical support for correlation and regression; how to s
Download or read book Data Graphing and Statistics Smarts written by Rebecca Wingard-Nelson and published by Enslow Publishing, LLC. This book was released on 2011-07-01 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Re-inforce classroom learning of important data, graphing, and statistics skills including circle, bar, and line graphs, scatter plots, stem-and-leaf diagrams, mean, median, and mode,and outliers"--
Download or read book Data Graphing and Statistics written by Rebecca Wingard-Nelson and published by Enslow Publishing. This book was released on 2004 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a simple and direct style, Rebecca Wingard-Nelson unravels the mystery of data, graphing, and statistics. You will learn how to use data and to choose and create the best graph for different kinds of data. Graphs and data, including central tendency and distribution, are clearly explained. Whether you are learning this information for the first time -- on your own or with a tutor -- or you would like to review your math skills, this book is a great choice. Book jacket.
Download or read book R in Action Third Edition written by Robert Kabacoff and published by Simon and Schuster. This book was released on 2022-05-03 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'R in Action' presents both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features.
Download or read book Statistical Analysis and Data Display written by Richard M. Heiberger and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.
Download or read book Introductory Business Statistics paperback B w written by Alexander Holmes and published by . This book was released on 2023-06-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in b&w. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Download or read book Graphical Methods for Data Analysis written by J. M. Chambers and published by CRC Press. This book was released on 2018-01-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.
Download or read book Statistics for Big Data For Dummies written by Alan Anderson and published by John Wiley & Sons. This book was released on 2015-08-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more. Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word "statistics" alone can evoke feelings of anxiety in even the most confident student or professional, it doesn't have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining—without losing your cool. Helps you to identify valid, useful, and understandable patterns in data Provides guidance on extracting previously unknown information from large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for working in big data If you're a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed.
Download or read book Beginning Statistics with Data Analysis written by Frederick Mosteller and published by Courier Corporation. This book was released on 2013-01-01 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.
Download or read book Statistics in a Nutshell written by Sarah Boslaugh and published by "O'Reilly Media, Inc.". This book was released on 2012-11-15 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and concise introduction and reference for anyone new to the subject of statistics.
Download or read book Statistics written by Ann E. Watkins and published by John Wiley & Sons. This book was released on 2011 with total page 1705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics, 2nd Edition teaches statistics with a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis rather than following recipes for calculations. This gives readers a more realistic understanding of both the theoretical and practical applications of statistics, giving them the ability to master the subject.
Download or read book Graphics for Statistics and Data Analysis with R written by Kevin J. Keen and published by CRC Press. This book was released on 2010-04-26 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation. The book considers graphical displays of a single discrete variable, a single continuous variable, and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart, bar chart, pictographs, stemplot, boxplot, and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation, diagnostic plots for the simple linear regression model, polynomial regression, and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics. Showing how to use graphics to display or summarize data, this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R. R code is available for download on the book’s website.
Download or read book Statistical Analysis of Network Data written by Eric D. Kolaczyk and published by Springer. This book was released on 2010-12-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.
Download or read book The Basic Practice of Statistics written by David S. Moore and published by Macmillan Higher Education. This book was released on 2011-12-30 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: David Moore pioneered the "data analysis" (conceptual) approach for the introductory statistics textbooks. Moore’s The Basic Practice of Statistics became the market-leading bestseller by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course’s relevance and difficulties head on.This new Sixth Edition offers the same crystal clear writing and use of real data as past editions, while incorporating new and updated examples and exercises, and presenting new features to support the learning and teaching goals for today’s generation of students.
Download or read book Statistics and Data Visualization Using R written by David S. Brown and published by SAGE Publications. This book was released on 2021-08-24 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.
