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new web analytics resources
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content/pages/06-devops/18-web-analytics.markdown

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* [Google Analytics](http://www.google.com/analytics/) is a widely used
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free analytics tool for website traffic.
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* [Clicky](http://clicky.com/) provides real-time analytics comparable to
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* [Clicky](https://clicky.com/) provides real-time analytics comparable to
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Google Analytics' real-time dashboard.
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* [MixPanel](https://mixpanel.com/)'s analytics platform focuses on mobile
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* [Heap](https://heapanalytics.com/) is a recently founded analytics service
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with a free introductory tier to get started.
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* [CrazyEgg](http://www.crazyegg.com/) is tool for understanding a
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* [CrazyEgg](https://www.crazyegg.com/) is tool for understanding a
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user's focus while using a website based on heatmaps generated from mouse
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movements.
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show how to extract your Google Analytics data via their web API and Python
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helper library so it can be used in other tools such as Excel.
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* The official
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[Google Analytics Python quickstart](https://developers.google.com/analytics/devguides/reporting/core/v4/quickstart/service-py)
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isn't really the easiest tutorial to follow due to all of the configuration
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required to make your first API call, but it is still the right place to go
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to get started.
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* [How Accurately Can Prophet Project Website Traffic?](https://pbpython.com/prophet-accuracy.html)
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uses the data forecasting tool
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[Prophet](https://facebook.github.io/prophet/) to see if it is possible
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to predict future trends in website traffic based on historical data.
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### General web analytics resources
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* [Google Analytics for Developers](http://blog.arkency.com/2012/12/google-analytics-for-developers/)
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* [The Google Analytics Setup I Use on Every Site I Build](https://philipwalton.com/articles/the-google-analytics-setup-i-use-on-every-site-i-build/)
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is a tutorial written for developers to better understand the scope
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of what Google Analytics can tell you about your site and how
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to configure it for better output.
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* [Deconstructing the Google Analytics tracking script](https://billfranklin.svbtle.com/deconstructing-the-ga-script)
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breaks down the JavaScript found in the Google Analytics script.
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* This beginner's guide to
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[math and stats behind web analytics](http://www.seotakeaways.com/beginners-guide-maths-stats-web-analytics/)

content/pages/meta/00-change-log.markdown

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## 2019
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### March
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* New resources on the [web analytics](/web-analytics.html) page.
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### February
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* Added a ton of resources on the [Kubernetes](/kubernetes.html) page.
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* Removed many broken links thanks to

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