Changing dataset fields It is easy to make changes to the fields of a dataset in CDP Data Visualization. Hiding dataset fields from applicationsYou may find it useful to hide dataset fields that are not typically used for visualizations to prevent unintended bias in BI and analytics, or even to obscure confidential data. In CDP Data Visualization, you can do this by turning off the default visibility option of a particular dataset field.Changing field aggregationYou may find it useful to change the basic fields defaults in your dataset.Creating calculated fieldsSometimes, the data in the base tables cannot be used directly, and must use an expression to change or "correct" it. For other use cases, you can create a calculation based on one or more fields. Instead of adding these expression for every visual, in CDP Data Visualization, you can easily create a new calculated field in the dataset, and subsequently use it in dashboards and visuals.Testing calculated fieldsIn CDP Data Visualization, you can easily test whether a newly calculated field works correctly or not.Changing the field display formatCDP Data Visualization lets you configure, at the dataset level, the display format of each field.Changing data typeCDP Data Visualization allows you to change the effective data type of a column in the dataset model without changing the source data. This is useful in many business environments to ensure correct processing of numerical codes, catalog numbers, event IDs, dates, and so on.Specifying geographic fieldsIn CDP Data Visualization, you can explicitly specify a dataset field as one of the many supported geographical types. Adding field commentsWhen working with big data, it can be very helpful to have access to comprehensive field-level descriptions. In CDP Data Visualization, you can use field comments to provide the context and meaning of each dataset field.Automatically renaming dataset fieldsQuite often, the column names of the base data tables are not very human-friendly. CDP Data Visualization gives you the option to automatically adjust field names at the level of the dataset.Custom renaming dataset fieldsOften, we find it useful to rename a frequently-used field directly in the dataset, instead of using an alias in each visual. CDP Visualization makes it very easy to change the display name of a dataset field.