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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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-25 UTC."],[],[],null,["# Explore and visualize data in Vertex AI Workbench managed notebooks\n\nExplore and visualize data: Overview\n====================================\n\n\n| Vertex AI Workbench managed notebooks is\n| [deprecated](/vertex-ai/docs/deprecations). On\n| April 14, 2025, support for\n| managed notebooks will end and the ability to create managed notebooks instances\n| will be removed. Existing instances will continue to function\n| but patches, updates, and upgrades won't be available. To continue using\n| Vertex AI Workbench, we recommend that you\n| [migrate\n| your managed notebooks instances to Vertex AI Workbench instances](/vertex-ai/docs/workbench/managed/migrate-to-instances).\n\n\u003cbr /\u003e\n\nThis page identifies common ways to explore and visualize data\nin Vertex AI Workbench managed notebooks. You can use\npre-installed Python packages and R libraries that are commonly used\nfor data visualization. To explore and visualize BigQuery data,\nyou can use the BigQuery client library with\npackages that visualize data.\n\n### Common Python packages and R libraries\n\nBy default, managed notebooks instances are pre-installed\nwith common Python packages and R libraries for data visualization, for example\n[matplotlib](https://matplotlib.org/),\n[seaborn](https://seaborn.pydata.org/index.html),\nand [ggplot2](https://ggplot2.tidyverse.org/). Import or load these packages\nand libraries into your notebook file and they are ready to use.\n\n### BigQuery data\n\nYou can use common Python packages to visualize\nBigQuery data. The BigQuery client library\nprovides additional methods, and by default the\nBigQuery client library is pre-installed in\nmanaged notebooks instances.\nFor an example of how to use the BigQuery client library\nwith Python plotting capabilities, see [Explore and visualize data in\nBigQuery tables](/vertex-ai/docs/workbench/managed/visualize-data-bigquery).\n\nWhat's next\n-----------\n\n- [Explore and visualize data in\n BigQuery tables.](/vertex-ai/docs/workbench/managed/visualize-data-bigquery)\n\n- To learn more about BigQuery, see\n [What is BigQuery?](/bigquery/docs/introduction)"]]
