Grouping data When working with an analysis, it might be beneficial to group the data in various ways to serve different purposes. Child Topics:TagsYou can group data rows exactly as you wish by attaching tags to data rows. You can tag any in-memory data table rows that you consider have something in common, and you can use the tags to easily identify the rows in different visualizations. ListsLists can be used to capture knowledge about items from one or many data sources, and to transfer the information between analyses. Creating intervals of numerical data You can group numerical data into intervals that are then handled as categories using binning. Grouping categoriesYou can group categorical values into a new categorical value. This can be useful when a data column contains categorical values that are not important to show separately, or when several entries mean almost the same thing. TagsYou can group data rows exactly as you wish by attaching tags to data rows. You can tag any in-memory data table rows that you consider have something in common, and you can use the tags to easily identify the rows in different visualizations. ListsLists can be used to capture knowledge about items from one or many data sources, and to transfer the information between analyses. Creating intervals of numerical data You can group numerical data into intervals that are then handled as categories using binning. Grouping categoriesYou can group categorical values into a new categorical value. This can be useful when a data column contains categorical values that are not important to show separately, or when several entries mean almost the same thing. Parent topic: Analyzing dataHomeAnalyzing dataGrouping data
Grouping data When working with an analysis, it might be beneficial to group the data in various ways to serve different purposes. Child Topics:TagsYou can group data rows exactly as you wish by attaching tags to data rows. You can tag any in-memory data table rows that you consider have something in common, and you can use the tags to easily identify the rows in different visualizations. ListsLists can be used to capture knowledge about items from one or many data sources, and to transfer the information between analyses. Creating intervals of numerical data You can group numerical data into intervals that are then handled as categories using binning. Grouping categoriesYou can group categorical values into a new categorical value. This can be useful when a data column contains categorical values that are not important to show separately, or when several entries mean almost the same thing. TagsYou can group data rows exactly as you wish by attaching tags to data rows. You can tag any in-memory data table rows that you consider have something in common, and you can use the tags to easily identify the rows in different visualizations. ListsLists can be used to capture knowledge about items from one or many data sources, and to transfer the information between analyses. Creating intervals of numerical data You can group numerical data into intervals that are then handled as categories using binning. Grouping categoriesYou can group categorical values into a new categorical value. This can be useful when a data column contains categorical values that are not important to show separately, or when several entries mean almost the same thing. Parent topic: Analyzing dataHomeAnalyzing dataGrouping data