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Excel pivot tables include the feature to directly query an online analytical processing (OLAP) server for retrieving data instead of getting the data from an Excel spreadsheet. On this configuration, a pivot table is a simple client of an OLAP server.
A chart created with data from a Microsoft Excel spreadsheet that only saves the chart. To save the chart and spreadsheet save as .XLS. XLC is not supported in Excel 2007 or in any newer versions of Excel. Dialog .xld: Used in older versions of Excel. Archive .xlk: A backup of an Excel Spreadsheet Add-in (DLL) .xll
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.
Data points in a data series are limited only by available memory; in Excel 2007, there was a limitation of 32,000 data points. [133] Graphing features including Sparklines, miniature graphics that represent trends among data; and Slicers, which allow users to quickly filter data results [133] Macro recording support for chart elements [133]
A check sheet is a form (document) used to collect data in real time at the location where the data is generated. The data it captures can be quantitative or qualitative. When the information is quantitative, the check sheet is sometimes called a tally sheet. [1] The check sheet is one of the so-called Seven Basic Tools of Quality Control. [2]
Origin Workbook with sparklines above data columns, this allows a quick glance of the data without plotting them. Origin is primarily a GUI software with a spreadsheet front end. Unlike popular spreadsheets like Excel, Origin's worksheet is column oriented. Each column has associated attributes like name, units and other user definable labels.
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A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]