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A drop-down list or drop-down menu or drop menu, with generic entries. A drop-down list (DDL), drop-down menu or just drop-down [1] – also known as a drop menu, pull-down list, picklist – is a graphical control element, similar to a list box, that allows the user to choose one value from a list either by clicking or hovering over the menu.
A search suggest drop-down list is a query feature used in computing to show the searcher shortcuts, while the query is typed into a text box. Before the query is complete, a drop-down list with the suggested completions appears to provide options to select. The suggested queries then enable the searcher to complete the required search quickly.
Filters, now includes a Quick filter option allowing the selection of multiple items from a drop down list of items in the column. The option to filter based on color has been added to the choices available. Excel features a new charting engine, which supports advanced formatting, including 3D rendering, transparencies and shadows.
Office File Validation, previously included only in Publisher 2007 for PUB files has been incorporated into Excel, PowerPoint, and Word in Office 2010 to validate the integrity of proprietary binary file formats (e.g., DOC, PPT, and XLS) introduced in previous versions of Microsoft Office.
Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]
Analyse-it is a statistical analysis add-in for Microsoft Excel. Analyse-it is the successor to Astute, developed in 1992 for Excel 4 and the first statistical analysis add-in for Microsoft Excel. Analyse-it is the successor to Astute, developed in 1992 for Excel 4 and the first statistical analysis add-in for Microsoft Excel.
This Olay anti-aging cream is down to $18: 'In one week, wrinkles are clearing' AOL. The 10 carry-on essentials that make for a first-class experience, according to pilots. AOL.
Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.