Explore and visualize data: Overview
This page identifies common ways to explore and visualize data in Vertex AI Workbench managed notebooks. You can use pre-installed Python packages and R libraries that are commonly used for data visualization. To explore and visualize BigQuery data, you can use the BigQuery client library with packages that visualize data.
Common Python packages and R libraries
By default, managed notebooks instances are pre-installed with common Python packages and R libraries for data visualization, for example matplotlib, seaborn, and ggplot2. Import or load these packages and libraries into your notebook file and they are ready to use.
BigQuery data
You can use common Python packages to visualize BigQuery data. The BigQuery client library provides additional methods, and by default the BigQuery client library is pre-installed in managed notebooks instances. For an example of how to use the BigQuery client library with Python plotting capabilities, see Explore and visualize data in BigQuery tables.
What's next
To learn more about BigQuery, see What is BigQuery?