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[null,"1.","Record Nr.",null,"UNINA9910792144703321"]
[null,null,"Autore",null,"Downing June <1950->"]
[null,null,"Titolo",null,"Teaching literacy to students with significant disabilities [[electronic resource] ] : strategies for the K-12 inclusive classroom / / June E. Downing"]
[null,null,"Pubbl/distr/stampa",null,"Thousand Oaks, Calif. ; ; London, : Corwin, 2005"]
[null,null,"ISBN",null,"1-4522-3884-7"]
[{"$nulls":4},"1-4833-2897-X"]
[{"$nulls":4},"1-4522-2227-4"]
[null,null,"Descrizione fisica",null,"1 online resource (xxi, 164 p.) : ill"]
[null,null,"Disciplina",null,"371.90446"]
[null,null,"Soggetti",null,"Students with disabilities - Education - United States"]
[{"$nulls":4},"Language arts - Remedial teaching - United States"]
[{"$nulls":4},"Inclusive education - United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 139-150) and index."]
[null,null,"Nota di contenuto",null,"Cover; Contents; Foreword; Acknowledgments; About the Author; Introduction; Chapter 1 - Literacy and a Free Appropriate Public Education; Chapter 2 - Literacy and Communication; Chapter 3 - Planning Literacy Activities; Chapter 4 - Teaching Literacy Skills; Chapter 5 - Evaluating Progress: Next Steps; Chapter 6 - The Future for Literacy Access and Instruction; Resources; Glossary; References; List of Tables; List of Figures; Index"]
[null,null,null,"Sommario/riassunto","Including students with severe disabilities in mainstream classrooms is now commonplace. June Downing looks at literacy education in this context, covering assessment of the general curriculum, literary activities, parental involvement, pre- & post-assessment, peer support, & many other topics."]
[null,"2.","Record Nr.",null,"UNINA9910827493103321"]
[null,null,"Autore",null,"Stirrup Jen"]
[null,null,"Titolo",null,"Advanced analytics with R and Tableau : advanced visual analytical solutions for your business / / Jen Stirrup, Ruben Oliva Ramos"]
[null,null,"Pubbl/distr/stampa",null,"Birmingham : , : Packt, , 2017"]
[null,null,"ISBN",null,"1-5231-2523-3"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (178 pages) : illustrations"]
[null,null,"Disciplina",null,"658.4038011"]
[null,null,"Soggetti",null,"R (Computer program language)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,null,"Sommario/riassunto","Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R About This Book A comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R Combine Tableau analytics and visualization with the power of R using this step-by-step guide Wondering how R can be used with Tableau? This book is your one-stop solution. Who This Book Is For This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau. A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book. What You Will Learn Integrate Tableau's analytics with the industry-standard, statistical prowess of R. Make R function calls in Tableau, and visualize R functions with Tableau using RServe. Use the CRISP-DM methodology to create a roadmap for analytics investigations. Implement various supervised and unsupervised learning algorithms in R to return values to Tableau. Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions. In Detail Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust "]
[{"$nulls":4},"statistical computation. Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. By the end of this book, you will get to grips with advan..."]