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Frequently Asked Questions

Does Databricks support data visualization?

Databricks also natively supports visualization libraries in Python and R and lets you install and use third-party libraries. The display function supports several data and visualization types. The easiest way to create a DataFrame visualization in Databricks is to call display (<dataframe-name>).

What types of images can I render in Databricks?

Thumbnail rendering works for any images successfully read in through the spark.read.format ('image') function. For image values generated through other means, Databricks supports the rendering of 1, 3, or 4 channel images (where each channel consists of a single byte), with the following constraints:

How do I display interactive graphics in datdatabricks notebooks?

Databricks programming language notebooks (Python, R, and Scala) support HTML graphics using the displayHTML function; you can pass the function any HTML, CSS, or JavaScript code. This function supports interactive graphics using JavaScript libraries such as D3. For examples of using displayHTML, see: HTML, D3, and SVG in notebooks

Why choose the Databricks Lakehouse platform?

Learn why the Databricks Lakehouse Platform is able to deliver on both data warehousing and machine learning use cases. Lakehouse combines the reliability, performance and governance of data warehouses with the openness and flexibility of data lakes.


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