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v0.4.0

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Dimensions based on extra experiment columns (growthbook#65)

* Dimensions based on extra select columns
* Clean up directions on data source query form
* Remove need for users SQL query

v0.3.0

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Customize Metric Conversion Windows (growthbook#52)

v0.2.4

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Add mysql/mariadb datasource support (growthbook#35)

v0.2.3

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Add guardrail metric support. (growthbook#30)

v0.2.2

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Use job queue to update running experiment results every 6 hours. (gr…

…owthbook#24)

* Use job queue to update running experiment results every 6 hours.

* Refactor the update job

* Connect to Mongo and start the queue automatically on back-end startup.
Limit queue prefetch to 5 per job type for better horizontal scalability.

v0.2.1

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Python stats (growthbook#20)

*  Use Python for stats back-end instead of jStat
*  Change count metrics to use a Gaussian prior instead of Gamma
*  New more robust method for calculating credible intervals
*  Expose Bayesian Risk in front-end
*  Use Violin plots instead of bar chart to show credible intervals
*  Simplify back-end build process
*  Add typescript definitions for jStat (just the methods used)
*  Better sample data and onboarding experience

v0.2.0

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Added onboarding page with questions and settings (growthbook#17)

* Added third welcome page with org questions and settings
* Add visual editor callout on getting started page.
* Fix bug where tech stack / data source preferences were not saving to Mongo.
* Update telemetry tracking throughout app.

Co-authored-by: Jeremy Dorn <jeremy@jeremydorn.com>

v0.1.7

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Split github workflow into separate jobs and optimize runs.

- Only run CI tasks if any of the apps changed (i.e. skip if only README changed)
- Only deploy to docker from the main repo on the main branch or when a release is made and there are front-end or back-end changes
- Only deploy to prod from the main repo on the main branch when there are back-end changes

v0.1.6

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Add estimated time remaining for experiment metrics to have enough data.

v0.1.5

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Split experiment list by status.

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