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Introduction to TIBCO Spotfire • Overview of TIBCO Spotfire as a data visualization and analytics tool. • Mention its support for integrating advanced analytics with Python and R.
Why Integrate Python and R? • Explanation of Python and R as powerful languages for statistical computing and data analysis. • Benefits of combining them with Spotfire’s data visualization capabilities for complex analysis.
Setting Up Python in Spotfire • Step-by-step guide on enabling and configuring Python in Spotfire. • Required installations and configuration settings.
Setting Up R in Spotfire • Similar to Python setup, guide on how to enable and configure R in Spotfire. • Tools needed, such as TERR (TIBCO Enterprise Runtime for R).
Running Python Scripts in Spotfire • How to write and execute Python scripts within Spotfire. • Example: A simple Python script to manipulate data or perform calculations.
Running R Scripts in Spotfire • How to write and run R scripts in Spotfire. • Example: Using R for statistical analysis or data modelling in a Spotfire dashboard.
Use Cases for Python and R Integration • Example use cases like predictive modelling, machine learning, or time series forecasting using Python/R. • Discuss industry applications like healthcare, finance, and manufacturing.
Conclusion • Recap the benefits of Python and R integration in Spotfire. • Final thoughts on improving analytical capabilities using these integrations.
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