TIBCO Spotfire Development : Beginners To Advanced Course

Add data to Spotfire by connecting to sources or importing local files, use information designer to create information links, apply filters and pivoting, and load data like Northwind for dashboards.

Navigate the Spotfire GUI after loading Northwind tables, using start from data or start from visualizations to explore columns, data types, and recommendations, then create visuals with explore by searching.

Explore how to manage data tables and transform data with data canvas in Spotfire, including joins, unions, calculated columns, and formatting to build polished data models for visualizations.

Create column matches between orders and order details on order ID to join data, and establish relationships to filter by suppliers' country with row-level security.

Master table, cross table, and graphical table visualizations in Tibco Spotfire. Learn to customize titles, data, and appearance, and apply sorting, color schemes, and show/hide controls.

Learn to build bar, line, and combination charts in TIBCO Spotfire, format currencies, show labels, top five categories, and tailor axes, zoom, and markers for clear data storytelling.

Learn to create and customize pie charts, scatter plots, and map charts in Spotfire, including sector size by units in stock or percentages, labels, and colors, with geocoded tooltips.

Explore treemaps and heatmaps to visualize hierarchies, concentrations, and KPIs, then use tiles and pie charts to compare unit price, quantity, and order metrics across countries.

Learn to access and customize statistical measures in Tibco Spotfire, starting with sum, average, min, max, median, and standard deviation, then add percentiles and quartiles for numeric data.

Learn to display key performance indicators in a Spotfire text area using placeholders and calculated values, with formatting options like currency, colors, and typography for clear dashboards.

Explore page and layout options to arrange visualizations with drag‑and‑drop, automatic layout, even or stacked arrangements, and ability to hide tabs, open in a new window, and customize the toolbar.

Learn to limit visualization data in TIBCO Spotfire using data-limit expressions and custom expressions, demonstrated with orders by ship city (London) and a case when ship city is London.

Learn how to limit data by marking in Spotfire, filter visuals by marking, and use details on demand to access the raw data behind marks for visual exploration.

Learn to manage visuals with filtering schemes, using global filters and per chart schemes so filter one affects the first chart, filter two the second, while global filters affect both.

Learn to use binning in Spotfire to group a column into subgroups, improving line chart clarity with automatic or manual bins and optional new bin columns.

Differentiate data on demand from details on demand in Spotfire, where details on demand uses the cached main table and data on demand loads from a separate on-demand table.

Create hierarchies in time charts by transforming the date column, calculating and replacing it with the correct format, and using a hierarchy icon to adjust granularity.

Learn to use labels and tooltips in Spotfire to display relevant information without clutter, adjusting neighbors, bar segments, axes, and chart types for clear insights.

Learn to use the subsets feature to compare data in charts by contrasting a current subset with all data and filtering by ship, country, or product.

Discover how the text area powers Spotfire dashboards with property controls, filters, dynamic labels, HTML tables, and image integration for interactive visuals.

Learn about text area action controls in Spotfire, including button, link, and image types, to navigate pages, reset filters, and trigger scripts or data functions with clickable elements.

Discover dynamic items in Spotfire, including sparkline, calculated value, icon, and bullet graph; learn to create and edit sparklines, compute KPIs, apply icon rules, and compare values with bullet graphs.

Explore visualization mods in the Spotfire client and learn to add JavaScript visualizations, work with mod manifests, and run a development server to preview interactive dashboards.

Explore data relationships in Spotfire to compare numerical vs numerical, numerical vs categorical, and categorical vs categorical, using linear regression, Spearman, and p value with R squared insights.

Leverage Spotfire search to quickly retrieve relevant data, visuals, or code using wildcards. Refine results by columns and data types, view recommended visualizations, and add charts with a click.

Explore how to annotate charts and start conversations around data points to share insights with end users, enabling collaborative feedback on numbers and KPIs.

Learn to create and link property controls with document properties in Tibco Spotfire, including label, input, drop down, and list box, and configure values, sizing, and camel-case naming.

Configure and use document properties and property controls to drive dynamic visuals in Spotfire. Filter data and drive color by and matrices with custom expressions for flexible dashboards.

IronPython scripting in Spotfire uses Python syntax on the .NET framework, enabling dynamic input handling and chart type toggling (line, bar side, bar stacked) via document properties.

Explore Python and R tools in Spotfire, including enterprise runtime engine, Python console, and installed packages. Launch interpreters, verify Python version, and deploy Python and R scripts to enhance dashboards.

Create dynamic Spotfire dashboards with Iron Python scripts that generate bar and line charts on button click, and define the data table, x and y axes, with optional color axis.

Use Python scripts to navigate Spotfire pages and visualizations by referencing document.pages with zero-based indices to reach a specific page, for example index two for the third page.

Spotfire cloud interface walkthrough introduces cloud-based analytics and dashboards, contrasting cloud with client installations. Navigate analytics, libraries, and collaboration tools to build and share online insights.

Explore Spotfire Cloud left panel options to connect data sources, add and join data tables, perform data analysis, and create visualizations with built-in charts and analytics tools.

Explore the Spotfire menu bar and view options, export dashboards to PDF, PowerPoint, or dxp, and manage visuals, pages, and toolbars for collaborative data analysis.

Create and customize charts and dashboards in Spotfire Cloud, adjusting properties, legends, colors, and formatting, then save and share interactive visualizations across pages.

Build a dynamic corporate level dashboard in Spotfire by integrating interactive visuals, data tweaks, chart types, and Python scripts, and include a home page, synopsis, definitions, version control, and bookmarks.

Begin with a Spotfire use case, analyze timelines and resources, plan a mockup, run sprint-based development with demos and feedback, secure user acceptance, migrate to staging and production, then stabilize.

Tackle common Spotfire development challenges by optimizing dashboard loading with caching, managing cache size, ensuring clean data and thorough testing, and building custom Python scripts while aligning expectations across teams.

Master Spotfire dashboard development by navigating the desktop, managing datasets, and building visualizations with charts, properties, and expressions; explore Python and R scripting and key references.