Notebooks are a way to build and annotate processes and data flows for time series data. Notebooks include cells and controls to transform the data in your bucket and other countless possibilities.
To learn how to use notebooks, check out the following articles:
Overview of notebooks
Learn about the building blocks of a notebook.
Create a notebook
Create a notebook to explore, visualize, and process your data.
View, update, and delete notebooks.
Downsample data with notebooks
Create a notebook to downsample data. Downsampling aggregates or summarizes data within specified time intervals, reducing the overall disk usage as data collects over time.
Normalize data with notebooks
Learn how to create a notebook that normalizes or cleans data to make it easier to work with.
Common issues with the notebooks feature.
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Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, use the following resources:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.