Power Pivot Para Mac Excel 2012

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Power Pivot is a feature of Microsoft Excel. It is available as an add-in in Excel 2010, 2013 in separate downloads, and as an add-in included with the Excel 2016 program. Power Pivot extends a local instance of Microsoft Analysis Services Tabular that is embedded directly into an Excel Workbook. This allows a user to build a ROLAP model in Power Pivot, and use pivot tables to explore the model once it is built. This allows Excel to act as a Self-Service BI platform, implementing professional expression languages to query the model and calculate advanced measures.

Power Pivot primarily uses DAX (Data Analysis Expressions) as its expression language, although the model can be queried via MDX in a row set expression. DAX expressions allow a user to create measures based on the data model, which can summarize and aggregate millions of rows of table data in seconds. DAX expressions resolve to T-SQL queries in the Formula and Storage Engines that drive the data model, abstracting the more verbose and tedious work of writing formal queries to excel-like formula expressions.

Power Pivot uses the SSAS Vertipaq compression engine to hold the data model in memory on the client computer. Practically, this means that Power Pivot is acting as an Analysis Services Server instance on the local workstation. As a result, larger data models may not be compatible with the 32-bit version of Excel.

Prior to the release of Power Pivot, Microsoft relied heavily on SQL Server Analysis Services as the engine for its Business Intelligence suite. Power Pivot complements the SQL Server core BI components under the vision of one Business Intelligence Semantic Model (BISM), which aims to integrate on-disk multidimensional analytics previously known as Unified Dimensional Model (UDM), with a more flexible, in-memory 'tabular' model.

As a self-service BI product, Power Pivot is intended to allow users with no specialized BI or analytics training to develop data models and calculations, sharing them either directly or through SharePoint document libraries.

M Formula language[edit]

A feature in Power Pivot's Get & Transform (formally known as Power Query) includes a new formula language called M. It is a mashup query language designed to build queries that mashup data. It is similar to F-Sharp. According to Microsoft, it 'is a mostly pure, higher-order, dynamically typed, partially lazy, functional language.'^[1]

Product history and naming[edit]

Power Pivot first appeared around May 2010 as part of the SQL Server 2008 R2 product line. It included 'Power Pivot for Excel' and 'Power Pivot for SharePoint'^[2] While the product was associated with SQL Server, the add-in for Excel could be used independent of any server, and with various types of data sources.SQL Server 2012 contained the add-in PowerPivot for Microsoft Excel 2010, this was also made available as a free download for Microsoft Excel 2010.^[3] Sometime after that, the PowerPivot followed its own release cadence separate from SQL Server.As part of the July 8, 2013, announcement of the new Power BI suite of self-service tools, Microsoft renamed PowerPivot as 'Power Pivot' (note the spacing in the name) in order to match the naming convention of other tools in the suite.^[4] In Excel 2013, Power Pivot is only available for certain versions of Office.^[5] In Excel 2016, it is included natively in the application in the data tab on the ribbon. A companion feature to Power Pivot named Power Query, in Excel 2010 and 2013, was renamed to Get & Transform in Excel 2016.

See also[edit]

References[edit]

1. ^'Introduction to Power Query (informally known as 'M') Formula Language'. 2015-07-27.
2. ^'PowerPivot for Excel and SharePoint - A Brief History of PowerPoint'. 2011-04-14.
3. ^'Download Microsoft® SQL Server® 2012 SP1 PowerPivot for Microsoft Excel® 2010 from Official Microsoft Download Center'.
4. ^http://blogs.office.com/b/office-news/archive/2013/07/08/announcing-power-bi-for-office-365.aspx
5. ^What’s new in Power Pivot in Excel 2013Archived 2012-10-01 at the Wayback Machine

You typically create a pivot chart by starting with the Create PivotChart Wizard. However, Excel also gives you the option of using the Insert Chart command on an existing pivot table.

In Excel 2007 and Excel 2010, you use the PivotTable and PivotChart Wizard to create a pivot chart, but despite the seemingly different name, that wizard is the same as the Create PivotChart Wizard.

To run the Create PivotChart Wizard, take the following steps:

1Select the Excel table.

To do this, just click a cell in the table. After you’ve done this, Excel assumes you want to work with the entire table.

2Tell Excel that you want to create a pivot chart by choosing the Insert tab’s PivotChart button.

In Excel 2007 and Excel 2010, to get to the menu with the PivotChart command, you need to click the down-arrow button that appears beneath the PivotTable button. Excel then displays a menu with two commands: PivotTable and PivotChart.

No matter how you choose the PivotChart command, when you choose the command, Excel displays the Create PivotChart dialog box.

3Answer the question about where the data that you want to analyze is stored.

It’s a good idea to store the to-be-analyzed data in an Excel Table/Range. If you do so, click the Select a Table or Range radio button.

4Tell Excel in what worksheet range the to-be-analyzed data is stored.

If you followed Step 1, Excel should already have filled in the Range text box with the worksheet range that holds the to-be-analyzed data, but you should verify that the worksheet range shown in the Table/Range text box is correct. Note that if you’re working with the sample Excel workbook, Excel actually fills in the Table/Range box with Database! $A$1:$D$225 because Excel can tell this worksheet range is a list.

If you skipped Step 1, enter the list range into the Table/Range text box. You can do so in two ways. You can type the range coordinates. For example, if the range is cell A1 to cell D225, you can type $A$1:$D$225.

Alternatively, you can click the button at the right end of the Range text box. Excel collapses the Create PivotChart dialog box. Now use the mouse or the navigation keys to select the worksheet range that holds the list you want to pivot.

After you select the worksheet range, click the range button again. Excel redisplays the Create PivotChart dialog box.

5Tell Excel where to place the new pivot table report that goes along with your pivot chart.

Select either the New Worksheet or Existing Worksheet radio button to select a location for the new pivot table that supplies the data to your pivot chart. Most often, you want to place the new pivot table onto a new worksheet in the existing workbook — the workbook that holds the Excel table that you’re analyzing with a pivot chart.

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However, if you want, you can place the new pivot table into an existing worksheet. If you do this, you need to select the Existing Worksheet radio button and also make an entry in the Existing Worksheet text box to identify the worksheet range. To identify the worksheet range here, enter the cell name in the top-left corner of the worksheet range.

You don’t tell Excel where to place the new pivot chart, by the way. Excel inserts a new chart sheet in the workbook that you use for the pivot table and uses that new chart sheet for the pivot table.

6When you finish with the Create PivotChart dialog box, click OK.

Excel displays the new worksheet with the partially constructed pivot chart in it.

7Select the data series.

You need to decide first what you want to plot in the chart — or what data series should show in a chart.

If you haven’t worked with Excel charting tools before, determining what the right data series are seems confusing at first. But this is another one of those situations where somebody’s taken a ten-cent idea and labeled it with a five-dollar word. Charts show data series. And a chart legend names the data series that a chart shows.

After you identify your data series — suppose that you decide to plot coffee products — you drag the field from the PivotTable Field List box to the Legend Field (Series) box. To use coffee products as your data series, for example, drag the Product field to the Legend Field (Series) box. After you do this, you get the partially constructed, rather empty-looking Excel pivot chart.

8Select the data category.

Your second step in creating a pivot chart is to select the data category. The data category organizes the values in a data series. That sounds complicated, but in many charts, identifying the data category is easy.

In any chart (including a pivot chart) that shows how some value changes over time, the data category is time. In the case of this example pivot chart, to show how coffee product sales change over time, the data category is time. Or, more precisely, the data category uses the Month field.

After you make this choice, you drag the data category field item from the PivotTable Field list to the box marked Axis Fields.

9Select the data item that you want to chart.

After you choose the data series and data category for your pivot chart, you indicate what piece of data that you want plotted in your pivot chart. For example, to plot sales revenue, drag the Sales $ item from the PivotTable Field List to the box labeled Σ Values.

This is a completed pivot chart. Note that it cross-tabulates information from an existing Excel list. Each bar in the pivot chart shows sales for a month. Each bar is made up of colored segments that represent the sales contribution made by each coffee product. But on your computer monitor, you can see the colored segments and the bars that they make.