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This section contains documentation on common methods for solving your data wrangling tasks in

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Discovery Tasks
Explore SuggestionsHow to explore the transform cards that are presented based on your selections
Find Bad DataMethods for locating malformed or mistyped data
Find Missing DataMethods for locating missing data, including less common instances
Manage Null ValuesHow to identify and manage null values discovered or generated in your dataset.
Locate OutliersIdentify the values in your data that are extremely low or high
Analyze across Multiple ColumnsHow to perform analysis across multiple columns in your dataset
Calculate Metrics across ColumnsUse this workflow to calculate metrics across multiple columns within a single row.
Import Excel DataHow to import one or more worksheets from a
Microsoft®
Microsoft® Excel® workbook.

Cleanse Tasks
Remove DataHow to remove columns, values from columns, and rows from your dataset
Normalize ValuesNormalize units using fixed or dynamic conversion factors and adjust the level of granularity in your data.
Match Text ValuesHow to find text values by string literals and patterns
Manage String LengthsSet limits on the lengths of strings or collect sub-string values from a column.
Deduplicate DataHow to find and remove duplicate rows and columns
Rename a ColumnRename a column in your dataset.

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