Excel Pivot Tables
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Excel Pivot Tables And Charts
Excel is by far the most widely used spreadsheet program with an installed base of hundreds of millions. PivotTables and the related pivot charts are a powerful tool within Excel for analyzing, summarizing, and organizing data to reveal meanings that would not otherwise be visible. The use of these tools is not simple or intuitive, however, and the vast majority of Excel users have never tapped their power. This book addresses this need by providing complete coverage of Excel PivotTables and pivot charts starting with the simplest and most basic uses and working up to complex and sophisticated scenarios. The book combines both the reference and tutorial approaches. · Understanding PivotTables and Charts· Understanding Data Sources for PivotTables· Using PivotTable Tools and Formatting· Working with PivotTable Components· More about PivotTable Components· Understanding and Using PivotCharts· Using PivotTables with Multidimensional Data· Getting Hard Data from a PivotTable· PivotTable Alternatives· Programming PivotTables with VBA
Excel 2016 for Mac Pivot Tables
The jargon associated with Microsoft Excel's pivot tables ("n-dimensional cross tabulations") makes them look complex, but they're really no more than an easy way to build concise, flexible summaries of long lists of raw values. If you're working with hundreds (or hundreds of thousands) of rows, then pivot tables are the best way to look at the same information in different ways, summarize data on the fly, and spot trends and relationships. This handy guide teaches you how to use Excel's most powerful feature to crunch large amounts of data, without having to write new formulas, copy and paste cells, or reorganize rows and columns. You can download the sample workbook to follow along with the author's examples. - Create pivot tables from worksheet databases. - Rearrange pivot tables by dragging, swapping, and nesting fields. - Customize pivot tables with styles, layouts, totals, and subtotals. - Combine numbers, dates, times, or text values into custom groups. - Calculate common statistics or create custom formulas. - Filter data that you don't want to see. - Create frequency tabulations quickly. - Control references to pivot table cells. - Plenty of tips, tricks, and timesavers. - Fully cross-referenced, linked, and searchable. Contents 1. Pivot Table Basics 2. Nesting Fields 3. Grouping Items 4. Calculations and Custom Formulas 5. Filtering Data 6. Tricks with Pivot Tables
Excel 2010 Pivot Tables
The jargon associated with Microsoft Excel's pivot tables ("n-dimensional cross tabulations") makes them look complex, but they're really no more than an easy way to build concise, flexible summaries of long lists of raw values. If you're working with hundreds (or hundreds of thousands) of rows, then pivot tables are the best way to look at the same information in different ways, summarize data on the fly, and spot trends and relationships. This handy guide teaches you how to use Excel's most powerful feature to crunch large amounts of data, without having to write new formulas, copy and paste cells, or reorganize rows and columns. You can download the sample workbook to follow along with the author's examples.- Create pivot tables from spreadsheet or database tables.- Rearrange pivot tables by dragging, swapping, and nesting fields.- Customize pivot tables with styles, layouts, totals, and subtotals.- Combine numbers, dates, times, or text values into custom groups.- Calculate common statistics or create custom formulas.- Filter data that you don't want to see.- Create and customize pivot charts.- Unlink a pivot table from its source data.- Control references to pivot table cells.- Plenty of tips, tricks, and workarounds.- Fully cross-referenced and indexed.Contents1. Pivot Table Basics2. Nesting Fields3. Grouping Items4. Calculations and Custom Formulas5. Filtering Data6. Charting Pivot Tables7. Tricks with Pivot TablesAbout the AuthorTim Hill is a data miner based in Las Vegas, Nevada. When he's not crunching numbers in SAS, Excel, R, or SQL, Tim plays poker, hikes canyons, and avoids malls.
