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  2. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    Note that with row headers you need to use a separate row in the wikitext for the row header cell. Here below is what a table looks like if the data cell wikitext is on the same line as the row header wikitext. Note that the data cell text is bolded, and the data cell backgrounds are the same shade of gray as the column and row headers.

  3. How to do a mail merge using Microsoft Word and Excel to ...

    www.aol.com/news/mail-merge-using-microsoft-word...

    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 ...

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    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. Excel 2.0 for ...

  5. To begin a new row of cells, use a single vertical bar (|) and a hyphen (-). | new cell in row To add a new cell in a row, start each new cell with a new line and a single vertical bar (|), or several cells can be placed consecutively on the same line, separated by double vertical bars (||). |} end

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    Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.

  7. Compose and send emails in AOL Mail

    help.aol.com/articles/aol-mail-compose-and-contacts

    1. From the inbox, click Compose. 2. In the "To" field, type the name or email address of your contact. 3. In the "Subject" field, type a brief summary of the email.

  8. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]

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