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Separating Data into Columns and Rows
Splitting values into multiple columns or rows doesn’t have to be a pain. The Text to Columns tool makes it almost too easy.
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Using RegEx in Expressions
Regular Expressions are extremely powerful tools, but you don’t have to use a RegEx tool to harness that power.
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Creating Regular Expressions
Learn how regular expressions are a powerful parsing tool for string data.
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Matching Data with RegEx
Identify string data values that match a pattern defined by a regular expression.
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Replacing Data with RegEx
Use regular expressions and marked groups to replace values in string data.
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Splitting Data with RegEx
Split a block of string data into columns or rows based on a pattern in string data.
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Parsing Data with RegEx
Separate string data values into columns using a regular expression and marked groups.
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Parsing XML
Parse and retrieve values from eXtensible Markup Language data.
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Parsing JSON
Parse and retrieve values from JSON data.
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