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Quick tip: In the "Start Mail Merge" drop-down, you can also select "Step-by-Step Mail Merge Wizard" at the bottom of the list for a more guided run-through of the mail merge process. 9. Click ...
Excel offers many user interface tweaks over the earliest electronic spreadsheets; however, the essence remains the same as in the original spreadsheet software, VisiCalc: the program displays cells organized in rows and columns, and each cell may contain data or a formula, with relative or absolute references to other cells.
Using two columns like this does have the disadvantage that searching the web page (either with a browser or a search engine) will usually not be able to find text that straddles the column boundary. Also, if the table has cell spacing (and thus border-collapse=separate ), meaning that cells have separate borders with a gap in between, that gap ...
Use ODT and XLSX files as mail merge data source; New default table style "Grammar By" spell checking; Calc. Export cell range selection or a selected group of shapes (images) to PNG or JPG; The text/plain Unformatted text format results in unquoted/unescaped content as expected for external pastes; Added "Paste unformatted text" command
For example, in Microsoft Excel one must first select the entire data in the original table and then go to the Insert tab and select "Pivot Table" (or "Pivot Chart"). The user then has the option of either inserting the pivot table into an existing sheet or creating a new sheet to house the pivot table.
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Data processing may involve various processes, including: Validation – Ensuring that supplied data is correct and relevant. Sorting – "arranging items in some sequence and/or in different sets." Summarization (statistical) or – reducing detailed data to its main points. Aggregation – combining multiple pieces of data.
Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").
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