Stay organized with collections
Save and categorize content based on your preferences.
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 2025-01-30 UTC."],[],[]]
