v0.9.2

• Added python_dataset_connector to create delayed data objects from python scripts or directly from python code.
• NOTE: python_dataset_connector is not yet ready to be deployed on RSConnect because it does not contain numpy and pandas, which are Python libraries used in python_dataset_connector.
• Added support for filtering on Date and Datetime variables in the Filter Panel.
• Added buttons for date and datetime filter widgets to reset the value to the original.
• Added new function check_key_duplicates, which creates a short summary about rows with duplicated primary key (row numbers and the number of duplicates)
• Fixed lack of labels for character and factor variables in the Filter Panel.
• All variables are now displayed in module_filter_panel, not only those of types numeric, logical, factor, character and Date
• Fixed mutate_data to accept the whole scope of objects for vars.
• Clarified teal::init function documentation to state that custom css loading code with htmltools::htmlDependency should be included in the header argument rather than inside ui arguments of modules.
• Enabled empty select field inside data_extract_spec.
• Added new argument drop_keys to filter_spec to decide whether to drop or keep keys columns on single filter on those columns.
• Added a new optional argument keys to variable_choices. keys specifies the names of the variables, which should have the new key icon shown next to them in the variable drop down menus in the left-hand side encoding panels instead of the icon appropriate for their original R variable type. variable_choices now also works with RelationalDataset and RelationalDatasetConnector objects.
• Removed include_factors option in get_class_colnames in RawDataset.