Get the guide that makes learning Microsoft Excel plain and simple! This full color, no-nonsense book shows you the quickest ways to solve a problem or learn a skill, using easy-to-follow steps and concise, straightforward language. You'll analyze, manage, and share information in more ways than ever before.
Here's WHAT you'll learn: Manage your financial data and personal expenses Get started quickly with prebuilt templates Create formulas and functions to do the hard work Sort, filter, update, and copy your. Provides step-by-step instructions on using Microsoft Excel to schedule jobs, create budgets, manage processes, and share project information.
Moving to Excel is not a routine upgrade. Microsoft's radical redesign of the application's user interface has led to confusion among many who people who have relied on Excel for years. Our new edition of the Excel Pocket Guide has been written from the ground up to help newcomers and longtime users alike find their way around without getting lost.
With this book in hand, you'll be able to find your favorite Excel tools quickly. It's packed with information to. Get beyond the basics with Excel charts Now you can take your Excel charting skills to the next level with help from this hands-on guide.
Privacy Policy. New eBooks. Search Engine. Shows ordinary users how to tap the rich data analysis functionality of Excel, make sense of their organization's critical financial and statistical information, and put together compelling data presentationsNow revised with over 30 percent new content to cover the enhancements in Excel , including the completely redesigned user interface, augmented charting and PivotTable capabilities, improved security, and better data exchange through XMLProvides thorough coverage of Excel features that are critical to data analysis-working with external databases, creating PivotTables and PivotCharts, using Excel statistical and financial functions, sharing data, harnessing the Solver, taking advantage of the Small Business Finance Manager, and more.
Welcome to the only guidebook series that takes a visual approach to professional-level computer topics. Whilst the accounting industry which most commonly uses spreadsheets they can be used in any situation. Pivot Tables are Excel's best tool for data analysis and summarising long lists of data into chunks of information. By using the drag and drop approach to the data fields within the pivot table, you can get a different view of the data.
It all depends on what questions you want answered. Pivot Table reports are organized into fields and items. Fields are rows or columns of data. For example, if you want to summarize data by year, each year becomes a data field. Generally, text fields go on the left hand side. To start off with, the data list that you use must be in the flat file format or data list feature that is available in excel onwards.
This means that all field names should not be based on data values. In other words, don't have January, February, etc. Instead use the label 'month'. Once you have set the data up this way, you can pivot the data as if the months are the field names by adding the months field to the column part of the pivot.
Another cool feature is the ability to group items within the table. For example, you can convert months into quarters if the data needs aggregated in this way. You can copy any pivot table you make and paste it further along the same worksheet or in another worksheet.
This is useful if you have created calculated fields and don't want to repeat the whole process. This way you can create a table to show specific information about the data.
The quickest way to learn is to get a hold of some data and start creating your own tables. They are not that difficult to create. With some practice, you should be able to create one in about a few minutes. You can also use pivot charts to extend your analysis into a graphical format. You can even drag and drop data fields within the chart as well.
They do come with limitations, especially the lack of ability to change the layout and formatting. An introduction to the latest version of Microsoft's versatile spreadsheet program showcases the application's updated features and new user interface while explaining how to use Excel to build and format spreadsheets, sort and analyze data, and integrate spreadsheets with Web documents and other Office applications.
This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses.
Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand problems.
Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test with answers in an Appendix that allows readers to test what they have learned. After a description of the new environment, which has been improved from the previous versions, and learning how to manage files, templates and datasheets, you will quickly become familiar with entering and editing data numbers, dates, calculation formulas, data series.
You will then learn how to use the tools for formatting data fonts, colours, borders, AutoFormats, styles, etc , create outlines, use worksheet auditing, and print your tables replete with various graphics and charts. The guide also explains the different ways you can use Excel to create tables and pivot charts by using datasheets.
As a portion of this guide focuses on working with multiple users, it includes all you need to know about sharing and protecting your data.
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