Visualizations in notebooks
Use visualizations in your notebooks to present data visually to help identify patterns, gain insights, and make decisions.
Many of your favorite open source visualization libraries, such as matplotlib, are pre-installed on Watson Studio environments. All you have to do is import them. See Import preinstalled libraries and packages.
You can easily add other visualization libraries and packages. See creating and customizing your environment.
IBM visualization libraries and tools:
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Brunel: Create interactive graphs with simple code. Try in a notebook.
For Scala notebooks, use Brunel for Scala.
- SPSS models: Create interactive tables and charts to help you evaluate and improve a predictive analytics model created with SPSS machine learning algorithms. Try in a notebook.
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PixieDust:Create graphs with a one-word command and then explore them with an integrated UI instead of code. Run Scala code within Python notebooks.
Note that PixieDust is being deprecated and will no longer be pre-installed on Watson Studio environments with Python version 3.8 or later.