Notebooks

Take your SQL data analysis a step further using Python or R to perform advanced analysis and custom ML model building. 

Dflux provides a notebook-style environment for Python and R, resembling the familiar structure of Jupyter. This feature allows users to create and run code interactively, facilitating a dynamic and iterative approach to data analysis. Within Dflux Notebooks, users can seamlessly integrate text, code, and visualizations, enabling a comprehensive exploration and documentation of their data science workflows. 

This environment serves as a versatile space for users comfortable with Python and R to conduct in-depth analyses, build models, and gain valuable insights within the Dflux platform.

Creating new notebooks

• To begin, click on the Notebooks tab. 

• You can create a new one by clicking on the <Create New Notebook>

• Upon clicking the <Create New Notebook> button, a new window will appear where you need to provide a unique name for your notebook. 

• You can also edit previously created notebooks.

• You will be then able to start analyzing your data using Python, share reports, and collaborate with your teams