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A toggle filter is not a filter type in Spotfire, but a way to switch between two filter settings for a column. A toggle filter can be created from the right-click menu of a filter, and it will appear as a button in the filters panel. The filter types in Spotfire are determined by the data type of the column, and they can be changed by right-clicking the filter and selecting Filter type. The available filter types are: Item Filter, Range Filter, Radio Button Filter, Check Box Filter, List Box Filter, Slider Filter, Text Filter, Date Filter, Time Filter, and Expression Filter. References: Changing filter type, Filtering Data, Filtering Schemes

Tags are annotations that can be attached to marked rows in a data table. Each row can only contain a single tag from each tag collection, but the document can contain many tag collections simultaneously. A tag collection is basically a column containing a set of different tags, or annotations. Tags can be used for filtering the data, creating lists, or transferring knowledge from one analysis to another. References: What are Tags?, How to Work with Tags

 A graphical table is a visualization that combines the features of a table and a bar chart. It can display values, icons, images, and sparklines in a grid layout. A graphical table can also trigger an action when clicked, such as opening a tool, applying a bookmark, or navigating to a page or a visualization. This can be configured by adding an action control to the graphical table from the text area menu. Other visualization types, such as table, cross table, and line chart, do not have this functionality by default, but they can be customized using scripts or mods to enable actions when clicked. References: Graphical Table, Details on Action Control, Actions

 A text area is a component that can be added to a page in Spotfire to provide text, images, links, buttons, property controls, filters, and dynamic items1. A dynamic item is a small visualization that can display an aggregated view of some data, such as a calculated value, asparkline, an icon, or a bullet graph2. A dynamic item can be inserted into a text area by using the Insert Dynamic Item option in the text area toolbar3. The other options are not valid items that can be inserted into a text area. A calculated column, a data table, and a custom expression are data-related concepts that can be used in Spotfire to create or manipulate data tables and columns4. A visualization is a graphical representation of data that can be added to a page as a separate component5. References: How to Use the Text Area, Dynamic Items - TIBCO Software, How to Insert a Dynamic Item, Data in Analysis - TIBCO Software, Visualizations - TIBCO Software

Data marking is the process of selecting items or rows in a visualization to view details or manipulate them. In a map chart visualization, data marking can be applied to two layers: the marker layer and the feature layer. The marker layer displays data points as markers or pies on the map, and the feature layer displays geographic features such as countries, regions, or states. Both layers allow data marking by clicking or dragging on the map, or by using axis marking on the scale labels. The map layer, the theme layer, and the image layer do not support data marking, as they are used to display the background map, the color scheme, and the custom images respectively. References:

Marking in Visualizations1

Explanation of marking and how it is displayed in visualizations in TIBCO Spotfire2

Map Chart Properties – Data – Map with Markers or Pies3

TIBCO Enterprise Runtime for R (TERR) is an enterprise-grade analytic engine that is fully compatible with the R language and embedded in Spotfire1. It extends the reach of R by allowing users to deploy their R code on a commercially supported and robust platform withoutthe need to rewrite their code2. It also resolves many limitations in R, such as memory management, performance, and scalability3. It is not a proprietary multi-paradigm programming language and numeric computing environment, but rather a reimplementation of the R language using C++4. The statement that describes TERR as such is incorrect and does not refer to TERR. References: Spotfire® Enterprise Runtime for R - TIBCO Software, What is TERR? How to get started with TERR in Spotfire. - TIBCO Software, TIBCO® Enterprise Runtime for R FAQ - TIBCO Software, TIBCO® Enterprise Runtime for R (TERR) - TIBCO Software

A heat map is a visualization type that is similar to a cross table, but instead of displaying numbers, it displays colors that represent the values in the cells. A heat map can be used to show the distribution of data across two or more categories using a color gradient. A heat map can also be colored by a third column, which can be selected from the Color by drop-down list in the Cross Table Properties dialog. A heat map can have different color schemes applied to different color scheme groupings, which are containers for one or more axis values that share the same color scheme. To learn more about coloring in cross tables and heat maps, see Coloring in Cross Tables and Heat Maps. References: Cross Table Properties – Colors, Coloring in Cross Tables and Heat Maps, Specifying text color and background color for cross table cells, How to set a custom color scheme for a particular column.

A details visualization is a special case of a limited visualization, which shows data that depends on what is marked in one or more other visualizations (the master visualizations). A details visualization can be used to drill down into the data in multiple steps. The details visualizationcan be any type of visualization, not only a table, and it can be placed anywhere within the page, just like any other visualization. To create a details visualization, you need to right-click in the master visualization and select Create Details Visualization and the type of visualization to use as details visualization from the pop-up menu. If there are more than one related data table available in your analysis, the Create Details Visualization dialog will appear, where you can select which data table to use for the details visualization. References: What is a Details Visualization?, Details on Create Details Visualization