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[null,"1.","Record Nr.",null,"UNINA9911011859303321"]
[null,null,"Autore",null,"Books Mrexcel'S Holy Macro!"]
[null,null,"Titolo",null,"Excel 2013 for Scientists : Master advanced Excel techniques and data analysis tailored for scientific research and workflows / Books, Mrexcel'S Holy Macro! [and others]"]
[null,null,"Pubbl/distr/stampa",null,"Birmingham, England, : Packt Publishing, 2024"]
[null,null,"ISBN",null,"9781837029723"]
[{"$nulls":4},"1837029725"]
[null,null,"Descrizione fisica",null,"1 online resource (321 p.)"]
[null,null,"Soggetti",null,"COMPUTERS / Desktop Applications / Spreadsheets"]
[{"$nulls":4},"BUSINESS & ECONOMICS / Finance"]
[{"$nulls":4},"COMPUTERS / Data Processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Excel 2013 for Scientists: Master advanced Excel techniques and data analysis tailored for scientific research and workflows"]
[null,null,null,"Sommario/riassunto","Master data visualization, statistical tools, and regression analysis tailored for scientific research in Excel 2013. Discover tools to streamline experiments and improve productivity.Key FeaturesComprehensive guide to Excel 2013 tools tailored for scientific data analysis and modelingPractical examples and exercises designed specifically for research and experimental workflowsDetailed coverage of statistical methods, regression techniques, and advanced graphing toolsBook DescriptionThis book provides a detailed guide for scientists to fully utilize Excel 2013 for data analysis, visualization, and statistical modeling. It begins with core spreadsheet techniques like range names, nested functions, and cell referencing, creating a strong foundation for advanced skills. Tailored examples help readers understand how to apply these basics in scientific contexts. The book progresses into advanced data analysis tools, covering pivot tables, lookups, conditional formatting, and filtering techniques. Regression methods, curve fitting, and distribution simulations are explored, allowing readers to analyze trends, predict outcomes, and validate data. Statistical methods such as ANOVA, significance testing, and sampling techniques are presented with practical examples to reinforce learning. Later chapters focus on advanced graphing techniques, customizing "]
[{"$nulls":4},"charts, and working with complex functions like arrays and nonlinear regression. Exercises and step-by-step instructions ensure concepts are clear and practical. By the end, readers will confidently apply Excel tools to streamline experiments, enhance productivity, and achieve scientific precision.What you will learnCreate tailored graphs and charts for scientific research needsAnalyze complex datasets with advanced Excel 2013 functionsUtilize pivot tables for efficient frequency distribution analysisGenerate random data samples for simulation and experimentsDifferentiate key statistical functions for precise calculationsAutomate data validation and formatting to enhance accuracyWho this book is forStudents and professionals in science, engineering, and related fields seeking practical Excel skills will find this book helpful. Basic familiarity with Excel is recommended. No advanced programming or statistical background is required."]