Changing dataset fields It is easy to make changes to the fields of a dataset in Cloudera Data Visualization. Editing dataset fieldsEditing dataset fields allows you to tailor your data to better suit specific analytical needs and visualization requirements. By modifying field parameters, you can enhance the accuracy, clarity, and relevance of your datasets.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 Cloudera Data Visualization, you can do this by turning off the default visibility option of a particular dataset field.Changing field aggregationYou can change the basic fields defaults in your dataset.Creating calculated fieldsIn Cloudera Data Visualization, you can easily create a new calculated field in the dataset, and subsequently use it in dashboards and visuals.Changing the field display formatCloudera Data Visualization lets you configure the display format of each field at the dataset level.Changing data typeCloudera 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 Cloudera 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 Cloudera 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. Cloudera 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. Cloudera Visualization makes it very easy to change the display name of a dataset field.Parent topic: Working with datasets in Cloudera Data Visualization
