Download or read book Data Graphing and Statistics Smarts written by Rebecca Wingard-Nelson and published by Enslow Publishers, Inc.. This book was released on 2012-09 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you having trouble with graphs? Do you wish someone could explain data, graphing, or statistics to you in a clear, simple way? From ratios and line plots to percentiles and sampling, this book takes a step-by-step approach to teaching data, graphing, and statistics concepts. This book is designed for students to use alone or with a tutor or parent, provides clear lessons with easy-to-learn techniques and plenty of examples. Whether you are looking to learn this information for the first time, on your own or with a tutor, or you would like to review your skills, this book will be a great choice.
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 Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
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 Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
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 Graphs Don t Lie written by Lee Baker and published by Lee Baker. This book was released on with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sarah Palin, abortions, global warming and Usain Bolt. The CEO of Apple, 35 trillion gun deaths in 1995, Fox News and 193%. This book has got scandals galore! With 9 witty chapters taking you on a roller coaster tour of graphical lies, pictorial deceits and pie charts of mayhem, this might just be the most entertaining book about graphs you’ll read this year. Did you know that between them, Sarah Palin, Mike Huckabee and Mitt Romney enjoyed a total of 193% support from Republican candidates in the 2012 US primaries? It must be true – it was on a pie chart broadcast on Fox News. Did you also know that the number 34 is smaller than 14, and zero is much bigger than 22? Honest, it’s true, it was published in a respectable national newspaper after the 2017 UK General Election. There can’t have been any kind of misdirection here because they were all shown on a pie chart. In this astonishing book, award winning statistician and author Lee Baker uncovers how politicians, the press, corporations and other statistical conmen use graphs and charts to deceive their unwitting audience. Like how a shocking, and yet seemingly innocuous statement as “Every year since 1950, the number of children gunned down has doubled”, meant that there should have been at least 35 trillion gun deaths in 1995 alone, the year the quote was printed in a reputable journal. Or how an anti-abortion group made their point by trying to convince us all that 327,000 is actually a larger number than 935,573. Nice try, but no cigar – we weren’t born yesterday. In his trademark sardonic style, the author reveals the secrets of how the statistical hustlers use graphs and charts to manipulate and misrepresent for political or commercial gain – and often get away with it. Written as a layman’s guide to lying, cheating and deceiving with graphs, there’s not a dull page in sight! And it’s got elephants in it too… Discover the exciting world of lying with graphs and charts. Get this book, TODAY!
Download or read book DataViz How to Choose the Right Chart for Your Data written by Lee Baker and published by Lee Baker. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Data visualisation is sexy – probably the sexiest part of statistics, Data Science, business intelligence and many other fields too. And it can make or break your study! Few people that have to create charts as part of their study know and understand how to create charts for maximum effectiveness, and as a result struggle to engage their audience. And that’s a shame, because a well-crafted chart has the potential to change the world! Charts really are that important! DataViz: How to Choose the Right Chart for Your Data is a short guide to all the different types of charts you’ll commonly encounter in statistics. It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about the craft of creating inspirational graphics for your study, presentation, thesis, or just about any occasion – irrespective of your audience. First, I’ll explain about the different types of graphs you’ll use. Then I’ll show you which data goes on which axis. I’ll show you the different types of charts to use, and how to choose which ones to use. We’ll move on to how to style your charts and review them with a critical eye to decide what should go on your graph, and – more importantly – what you should take off. Finally, I’ll introduce you to DataViz – The Big Picture, an Ultra-High-Definition flowchart that will guarantee that you get the right chart first time, every time! By the time you’ve read this short book, you’ll more about plotting charts than pretty much everyone around you! Discover the world of DataViz. Get this book, TODAY!
Download or read book Graphing Data written by Gary T. Henry and published by SAGE Publications, Incorporated. This book was released on 1995 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes bibliographical references and index.
Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer. This book was released on 2020-07-16 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
Download or read book Big Data and You written by Mindy Mozer and published by The Rosen Publishing Group, Inc. This book was released on 2014-07-15 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: The collection, organization, and analysis of how people use information technology is commonly referred to as "Big Data." And companies, schools, the government, and other organizations are harnessing it to do their jobs more effectively. This volume is a complete guide to Big Data: what it is, how it is used, and how it will continue to be used. Readers can better understand how Big Data plays a part in their lives today and how it will continue to be an enormous factor in the future.
Download or read book Data graphing and statistics written by Ann Anderson and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Hidden Ducks Describing and Interpreting Data written by Renata Brunner-Jass and published by Norwood House Press. This book was released on 2013-01-01 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematical concept of describing data sets is introduced as students attend a nature day camp program. Readers learn about the median, mean, and mode while using charts and tables to describe data sets. Additional concepts include averages, outliers, and distribution. This book features a discovery activity, a connection to history, and a mathematical vocabulary introduction.
Download or read book Smart Data written by Kuan-Ching Li and published by CRC Press. This book was released on 2019-03-19 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers
Download or read book Smart Log Data Analytics written by Florian Skopik and published by Springer Nature. This book was released on 2021-08-28 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial actions. It is organized into 3 major parts with a total of 8 chapters that include a detailed view on existing solutions, as well as novel techniques that go far beyond state of the art. The first part of this book motivates the entire topic and highlights major challenges, trends and design criteria for log data analysis approaches, and further surveys and compares the state of the art. The second part of this book introduces concepts that apply character-based, rather than token-based, approaches and thus work on a more fine-grained level. Furthermore, these solutions were designed for “online use”, not only forensic analysis, but also process new log lines as they arrive in an efficient single pass manner. An advanced method for time series analysis aims at detecting changes in the overall behavior profile of an observed system and spotting trends and periodicities through log analysis. The third part of this book introduces the design of the AMiner, which is an advanced open source component for log data anomaly mining. The AMiner comes with several detectors to spot new events, new parameters, new correlations, new values and unknown value combinations and can run as stand-alone solution or as sensor with connection to a SIEM solution. More advanced detectors help to determines the characteristics of variable parts of log lines, specifically the properties of numerical and categorical fields. Detailed examples throughout this book allow the reader to better understand and apply the introduced techniques with open source software. Step-by-step instructions help to get familiar with the concepts and to better comprehend their inner mechanisms. A log test data set is available as free download and enables the reader to get the system up and running in no time. This book is designed for researchers working in the field of cyber security, and specifically system monitoring, anomaly detection and intrusion detection. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, and information systems. Forward-thinking practitioners, who would benefit from becoming familiar with the advanced anomaly detection methods, will also be interested in this book.
Download or read book Smart Algorithms The Power of AI and Machine Learning written by Dr.S.Gandhimathi and published by SK Research Group of Companies. This book was released on 2024-06-10 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.S.Gandhimathi, Assistant Professor, Department of Computer Science, Valluvar College of Science and Management, Karur, Tamil Nadu, India. Dr.K.Sivakami, Associate Professor, Department of Computer Science, Nadar Saraswathi College of Arts and Science, Theni, Tamil Nadu, India. Dr.B.Senthilkumaran, Assistant Professor, Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai,Tamil Nadu, India. Dr.John T Mesia Dhas, Associate Professor, Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai,Tamil Nadu, India. Mrs.S.Saranya, Assistant Professor, Department of Computer Science, Valluvar College of Science and Management, Karur, Tamil Nadu, India.
Download or read book Smart Data Intelligence written by R. Asokan and published by Springer Nature. This book was released on 2022-08-17 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications.