Use PixieDust

PixieDust brings you the power to create compelling visuals fast, no coding necessary. You can use PixieDust immediately online in the IBM Cloud, or on your local machine.

Note

PixieDust makes data visualization much easier, but does require basic knowledge of how to load/access and manipulate data within a Python notebook.

Use PixieDust online right now

Start by trying PixieDust in a Python notebook online–no installation necessary. PixieDust is built-in to IBM’s Watson Studio. Sign up for a free trial there, and create a new notebook from URL using this sample:

| https://github.com/ibm-cds-labs/pixiedust/raw/master/notebook/DSX/Welcome%20to%20PixieDust.ipynb

PixieDust can save you tons of work. See what it can do for your notebook.

If you’re working locally, start by installing PixieDust and check out some of its great features.

• Install PixieDust
  • System Requirements
  • Install Anaconda
  • Install PixieDust
  • Jupyter Kernels
  • Try It Out!
• Load Data
  • Sample Data Sets
  • Load a CSV using its URL
  • Load data from your local system
  • Other Data Sources
• Display Data
  • Introduction
  • Get Started
  • Work with Tables, Charts, and Maps
  • Conclusion
• Package Manager
  • Introduction
  • Install a spark package
  • Install from maven search repository
  • Install a jar file directly from an addressable location
  • Managing your packages
• Use Scala in a Python Notebook
  • Introduction
  • Using Scala cell magic
  • Variable transfer
• Spark Progress Monitor
• Download Data
  • Save data to a file
  • Export data to Cloudant ^BETA
  • Save a chart or map in SVG format
• Logging