Count

Create a filter that returns results that contain a string of text?

Use control cells to determine the date aggregation of your x or y axis.

Create dynamic chart aggregations with control cells

What is a DAG?

Mitra Abrahams

Harriet McCay

Querying Data

Best practice techniques to help your queries run faster, and to reduce the number of queries going to your database

Optimize the performance of  canvases: tutorial

Using caching and scheduling to control how often your data is refreshed

Use caching and scheduling

A useful setting if you would like more control over which queries re-run on your canvas

Disable manual cell execution

Using local cells alongside your own database queries is a powerful way to work in Count

Use Count's local (DuckDB) database

Tips to optimize your SQL code for faster queries in Count

SQL best practice in Count

Sometimes it's useful to 'unexplode' those cells!

Compile DAGS to fewer cells

Consider how your database and connection settings could impact on the speed of queries in Count

Review your database setup

Leverage your Count Telemetry data to monitor how your organisation is using Count

Monitor your usage with Count Telemetry

If things are running slowly and you need a quick fix...

Cancel pending queries

Hidden frames can organise groups of cells and also stop them from refreshing

Make use of hidden frames

How one control cell can determine what is available for selection in another control cell.

Filter a filter (using a filter!)

Features & best practices to be aware of to optimise query performance

Optimising query performance

What order do my Python cells run in?

How do I stop Python cells executing?

Why does my imported Jupyter notebook not execute as I expect?

I can't install a package

My Python cells seem slow

Python cells

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