Xem 1-20 trên 20 kết quả Analyzing excel data
  • When faced with a new software tool, most of us learn what we need to address our immediate problem, and then armed with 10% of the tools that are available we attempt to solve all future problems. In my discussions with colleagues, I have found that the spreadsheet is the quintessence of this effect. Almost everybody has Microsoft® Excel on their computer, yet few use it for anything but the most mundane tasks, rather like a sophisticated, but unwieldy calculator.

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  • Tham khảo sách 'microsoft excel & access integration with office 2007', công nghệ thông tin, tin học văn phòng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Excel Data Analysis: Your visual blueprint for creating and analyzing data, charts, and PivotTables uses simple, straightforward examples to teach you how to create powerful and dynamic programs. To get the most out of this book, you should read each chapter in order, from beginning to end. Each chapter introduces new ideas and builds on the knowledge learned in previous chapters. When you become familiar with Excel Data Analysis: Your visual blueprint for creating and analyzing data, charts, and PivotTables, you can use this book as an informative desktop reference....

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  • When folks ask me what I do for a professional career, I usually tell them, “I write books about computers.” For those who are computer literate, the discussion usually continues this way: Them: “What subjects have you written about?” Me: “Mostly about using Microsoft Excel.” Them: “Like using Excel to do what?” Me: “Analyze data. In fact, I’m currently working on a book that will cover analyzing data using the Excel what-if tools.

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  • The old 80/20 rule for software—that 80% of a program’s users use only 20% of a program’s features— doesn’t apply to Microsoft Excel. Instead, this program probably operates under what could be called the 95/5 rule: 95% of Excel users use a mere 5% of the program’s power. On the other hand, most people know that they could be getting more out of Excel if they could only get a leg up on building formulas and using functions.

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  • Microsoft Excel is a powerful and popular program for organizing and analyzing data. One of its most powerful capabilities is PivotTables, which enable you to pull meaningful information from huge masses of seemingly meaningless data. The name PivotTable comes from one of the most powerful features of Excel—the ability to quickly and easily “pivot” the data to view them in different ways.

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  • If you use Microsoft Excel 2010 or Microsoft Excel 2007, you already know how simple it can be to build spreadsheets and to model or analyze virtually any type of data.

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  • Microsoft Office 2007 is the latest-and-greatest version of a long line of versions, starting (not surprisingly) with Version 1. Not that this is the 2,007th version. Somewhere along the way Microsoft switched from using sequential numbers for versions to using years.With Microsoft’s popular Excel 2007 spreadsheet program, you can enter, manipulate, and analyze data in ways that would be impossible, cumbersome, or error prone for you to do manually. This part gives you the basics you need to get up and......

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  • With Microsoft’s popular Excel 2007 spreadsheet program, you can enter, manipulate, and analyze data in ways that would be impossible, cumbersome, or error prone for you to do manually. This part gives you the basics you need to get up and running quickly in Excel.

    pdf50p ptng13 17-05-2012 253 48   Download

  • Experience learning made easy-and quickly teach yourself how to organize, analyze, and present data with Excel 2010. With STEP BY STEP, you set the pace-building and practicing the skills you need, just when you need them! Topics include creating formulas, calculating values, and analyzing data; presenting information visually with graphics, charts, and diagrams; building PivotTable dynamic views; using the new Excel Web App; reusing information from databases and other documents; creating macros to automate repetitive tasks and simplify your work; and other core topics....

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  • When you ask most people which software tool they use for their daily data analysis, the answer you most often get is Excel. Indeed, if you were to enter the key words data analysis in an Amazon.com search, you would get a plethora of books on how to analyze your data with Excel.

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  • The book you just opened is different from most others on Excel that you might have seen. That’s because it focuses on a topic that is deeply important to us all: money. The novelist Rex Stout once wrote, facetiously, “The science of accounting has two main branches, first addition, and second subtraction.” I kept that in mind when I was casting about for the book’s theme. I wanted to write a book that would show people how to maximize profit, the result of combining those two branches.

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  • This book is about using Microsoft Excel to analyze your data. Microsoft Excel is an electronic worksheet you can use to maintain lists; perform mathematical, financial, and statistical calculations; create charts; analyze your data with a PivotTable; and much more. Excel can help you locate data, find trends in your data, and present your data to others. Each Excel file is a workbook. Each workbook can have multiple worksheets. Worksheets are made up of rows and columns of cells you use to enter information....

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  • Excel is a spreadsheet program in the Microsoft Office system. You can use Excel to create and format workbooks (a collection of spreadsheets) in order to analyze data and make more informed business decisions. Specifically, you can use Excel to track data, build models for analyzing data, write formulas to perform calculations on that data, pivot the data in numerous ways, and present data in a variety of professional looking charts.

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  • With Microsoft’s popular Excel 2007 spreadsheet program, you can enter, manipulate, and analyze data in ways that would be impossible, cumbersome, or error prone for you to do manually. This part gives you the basics you need to get up and running quickly in Excel.

    pdf30p vongsuiphat 04-01-2010 72 15   Download

  • This book is not a traditional style manual that prescribes mechanical details such as the forms for levels of headings, typing requirements, and so on. A number of excellent style manuals, including the Publication Manual of the American Psychological Association, already cover these matters . Neither will you find here a discussion of the mechanics of standard English usage; it is assumed that you have already mastered these. Finally, it is also assumed that you have already selected an important research topic, applied sound research methods, and analyzed the data.

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  • The reason is that there are many types of costs, and these costs are classified differently according to the immediate needs of management. For example, managers may want cost data to prepare external financial reports, to prepare planning budgets, or to make decisions. Each different use of cost data demands a different classification and definition of costs. This chapter analyze a mixed cost using the least-squares regression method.

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  • Appendix 2A: Least-squares regression computations. The reason is that there are many types of costs, and these costs are classified differently according to the immediate needs of management. For example, managers may want cost data to prepare external financial reports, to prepare planning budgets, or to make decisions. Each different use of cost data demands a different classification and definition of costs. This chapter analyze a mixed cost using the least-squares regression method.

    ppt13p tangtuy18 12-07-2016 4 2   Download

  • Môn: Thực hành quản trị trên máy Add–ins của Microsoft Excel BÀI 3 Add–ins – là những chương trình bổ sung (add) các chức năng tùy chọn cho Excel nhằm giải quyết các bài toán thuộc các lãnh vực đặc thù trong quản lý và kỹ thuật … Cài đặt Add—ins How To? Các Add–ins trong Microsoft Excel ② Load ① Install 1 Môn: Thực hành quản trị trên máy Install Add—In How To? Thống kê ?? “The science of collecting and analyzing data for the purpose of drawing conclusions and making decisions.

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  • Có các mục sau: + Where is the data that you want to analyze? Chọn nguồn dữ liệu để tổng hợp. • Microsoft Excel List or Database: Dữ liệu trong Excel. • External data source: Dữ liệu từ các cơ sở dữ liệu khác. • Multiple consolidation ranges: Dữ liệu từ các vùng tổng hợp khác. • Another PivotTable report or PivotChart report: Dữ liệu từ bảng PivotTable hoặc PivotChart khác.

    pdf21p poseidon01 15-07-2011 65 9   Download

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