Sign inGet started
← Back to all guides

How to visualize data in BigQuery

By Nick Barth

Updated on March 6, 2024

When it comes to visualizing data in BigQuery, you have a multitude of options at your disposal. Third-party tools like Google Data Studio, Looker, and Tableau provide seamless integration with BigQuery, allowing you to easily create insightful visualizations. But that's not all - you can also leverage powerful charting libraries such as Matplotlib, Plotly, and Seaborn within platforms like Deepnote.

After running your analysis in BigQuery, you can effortlessly export the data to these tools or utilize their built-in connectors for direct access to the data. Google Data Studio, in particular, stands out with its seamless integration, offering a wide range of customization options for creating comprehensive reports and interactive dashboards. By selecting BigQuery as the data source within Data Studio, you can effortlessly visualize your dataset through an intuitive interface, adding various chart types and filters to effectively convey your data-driven insights and make informed decisions.

That’s it, time to try Deepnote

Get started – it’s free
Book a demo



  • Integrations
  • Pricing
  • Documentation
  • Changelog
  • Security




  • Privacy
  • Terms

© Deepnote