Interactive Analysis

The interactive analysis features of Terra support interactive data exploration, including the use of statistical methods and graphical display. Versatile and powerful interactive analysis is provided through Jupyter Notebooks in both Python and R languages.

Jupyter Notebooks run on a virtual machine (VM). You can customize your VM’s installed software by selecting one of Terra's preinstalled notebook cloud environments or choosing a custom environment by specifying a Docker container. Dockers ensure you and your colleagues analyze with the same software, making your results reproducible.

Article: Interactive statistics and visualization with Jupyter notebooks Article: ​Customizing your interactive analysis application compute Article: ​Terra's Jupyter Notebooks environment Part I: Key components Article: ​Terra's Jupyter Notebooks environment Part II: Key operations Article: ​Terra's Jupyter Notebooks environment Part III: Best Practices Video: Notebooks overview Video: Notebooks Quickstart walkthrough Workspace: Notebooks Quickstart workspace Workspace: BioData Catalyst notebooks collection Workspace: PIC-SURE Tutorial in R Workspace: PIC-SURE Tutorial in Python