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1/ Configure and Create a SnowflakeConnection

Create a dedicated plot transform cell that constructs configuration and connection objects.

2/ Allow scientists to query data with graphical widgets

Once you have established a connection, you can allow scientists to query, manipulate and visualize their own tables of data from Snowflake using graphical query builders. See an example below with a table of synthetic barcode counts. Scientists can retrieve counts and barcodes based on
The above Python code translates to the UI below: Snowflake UI