Tibco TIBCO Spotfire Certified Professional Exam TCP-SP Exam Dumps: Updated Questions & Answers (October 2025)

To make a visualization mod accessible to other users, you can either save the mod to the Spotfire Library or embed the mod in the analysis. Saving the mod to the Spotfire Library allows other users to browse and use the mod from the Library Browser, as long as they have the appropriate permissions. Embedding the mod in the analysis allows other users to open the analysis and see the mod without having to install it separately. However, embedding the mod in the analysis will increase the size of the analysis file and may affect the performance12. References: Saving a Visualization Mod to the Library, Embedding a Visualization Mod in an Analysis

 The Business Author version of Web Client is a web-based interface that allows users to create and edit analyses from a browser. Users can perform tasks such as adding data tables, visualizations, filters, markings, and pages to an analysis. They can also share their analyses with other users through the Library or by sending links via email. However, they cannot create information links, property controls, or data sources, which are more advanced features that require the Spotfire Analyst client. References: Overview of TIBCO Spotfire clients, How to enable Business Authoring on the TIBCO Spotfire Web Player

A map chart visualization consists of one or more layers that display different types of information on a map. The following are the types of layers that can be added to a map chart1:

Marker layer: This layer displays data points as markers or pies on the map, based on coordinates (usually latitude and longitude) or geocoding (matching data values togeographic locations). Markers can be colored, sized, and shaped by data columns, and can show tooltips and details on demand. Pies can show the distribution of multiple categories within each data point.

Feature layer: This layer displays geographic features such as countries, regions, states, or custom shapes on the map, based on shapefiles or WKT (well-known text) format. Features can be colored by data columns, and can show tooltips and details on demand. Features can also be used for spatial calculations such as aggregating data by area or finding nearest neighbors.

Image layer: This layer displays a custom image on the map, such as a floor plan, a stadium, or a conference venue. The image can be aligned and scaled to fit the map coordinates, and can be used as a background for other layers.

Map layer: This layer displays the background map that provides the geographic context for the map chart. The map layer can be selected from a list of predefined maps, or customized by adding TMS (tiled map service) or WMS (web map service) layers from external sources.

WMS layer: This layer displays a dynamic image from a web map service (WMS) on the map, such as weather, traffic, or satellite imagery. The WMS layer can be configured by specifying the URL, the layer name, and the style of the web service.

The icon and data options are not valid types of layers in a map chart. References:

How to Use the Map Chart

Map Chart Properties – Layers

GeoAnalytics Resources - WMS and TMS Layers

How To Get Started With Spotfire Map Charts

Creating a map chart

 TIBCO Spotfire Statistical Services is compatible with several statistical engines, such as S-PLUS, TERR, R, SAS, and MATLAB. These engines provide a comprehensive library of statistical and mathematical algorithms that can be used to perform advanced analytics on data. TIBCO Spotfire Statistical Services can be configured to work with these engines, either as a stand-alone server or as part of a Spotfire stack1. However, TIBCO Spotfire Statistical Services is not compatible with Scala, which is a general-purpose programming language that runs on the Java Virtual Machine. Scala is not a statistical engine, and it does not have a direct integration with TIBCO Spotfire Statistical Services2. References:

Spotfire® Statistics Services - TIBCO Software

Scala (programming language) - Wikipedia

Pie charts and treemaps are both designed to display hierarchical data, as they can show the relative proportions of different categories and subcategories in a nested structure.Pie charts use circular sectors to represent the values, while treemaps use rectangular tiles. Both visualizations can be used to compare the sizes of different groups and drill down into the details12.

Map charts, heat maps, and scatter plots are not specifically designed for hierarchical data, although they can be used to show some aspects of it. Map charts show geographical data on a map, heat maps show the distribution of values in a matrix, and scatter plots show the relationship between two or more variables in a Cartesian coordinate system34 . References:

Pie Chart - TIBCO Software

Treemap - TIBCO Software

Map Chart - TIBCO Software

Heat Map - TIBCO Software

[Scatter Plot - 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.

Node navigation functions are used to reference specific records or groups of records in a hierarchy or an axis. They are part of the OVER category of functions, which are used to group data in calculations. Some examples of node navigation functions are All(), Previous(), Next(), Parent(), and Intersect()12. The other function categories do not contain node navigation functions. Statistical functions are used to perform statistical tests and calculations, such as Corr(), TTest(), and Anova()3. Binning functions are used to create bins or groups of values, such as BinByCount(), BinByDateTime(), and BinBySize()4. Spatial functions are used to perform spatial calculations and operations, such as ST_Area(), ST_Contains(), and ST_Distance()5. References: 1: Node navigation - TIBCO Software1, 2: Using Node Navigation in Spotfire » The Analytics Corner2, 3: Statistical Functions - TIBCO Software, 4: Binning Functions - TIBCO Software, 5: Spatial Functions - TIBCO Software

TIBCO Streaming is an enterprise-grade, cloud-ready streaming analytics platform for quickly building real-time applications at a fraction of the cost and risk of alternatives1. TIBCO Streaming enables you to analyze, continuously query, and act on IoT and other streaming data at lightning fast speeds2. TIBCO Streaming is an assembly of TIBCO software technologies in a single licensable collection, which includes TIBCO StreamBase, TIBCO LiveView, TIBCO LiveView Web, TIBCO LiveView Desktop, and TIBCO Artifact Management Server3. TIBCO Streaming provides a full-featured Eclipse-based IDE, a visual programming language, and development tools that support a full development cycle4. References: TIBCO Streaming, TIBCO Streaming Trial - Windows, What is TIBCO Streaming?, TIBCO Streaming Software - Runtime Overview

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

 A box plot is a graphical tool to visualize key statistical measures, such as median, mean and quartiles1. The median is the middle value of the data, which divides the data into two equal halves. The variance is a measure of how spread out the data is, calculated as the average squared deviation from the mean. The standard deviation is the square root of the variance, which has the same unit as the data. A box plot can show these three measures by using the following elements2:

The band in the middle of the box indicates the median.

The bottom and top of the box indicate the first and third quartiles, which are the medians of the lower and upper halves of the data. The difference between the third and first quartiles is called the interquartile range (IQR), which is a measure of variability similar to the standard deviation.

The bottom and top of the whiskers represent the minimum and maximum values within 1.5 times the IQR from the first and third quartiles. Any values outside this range are considered outliers and are shown as individual points. The length of the whiskers is related to the variance of the data, as larger variance implies more spread out data and longer whiskers.

The mean is denoted by a small circle, which may or may not be inside the box depending on how skewed the data is. The mean is another measure of central tendency, which is the average value of the data. The distance between the mean and the median reflects the symmetry of the data distribution.

References:

What is a Box Plot?

Box Plot