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Alteryx Designer Knowledge Base

Definitive answers from Designer experts.
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When your Python libraries don't work the way they should in Python tool, restoring the tool to it's original state could be the solution. This article walks through how to restore Python libraries and the virtual environment associated with the Python tool.
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Installing a package from the Python tool is an important task. In this article, we will review all the possible functionality included with the Python method Alteryx.installPackages().
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Alteryx provides product technical support for a period of eighteen (18) months after the Release Date of each Release Version, as outlined in the tables below.   NOTE: You can find product 'Release Version' details for all Alteryx Analytics Platform products by following the steps here.   Alteryx Designer & Server Release Version Detail Release Date End of Support (EOS) 2019.1.4.57073 2/13/19 8/13/2020 2018.4.3.54046 11/14/2018 5/14/2020 2018.3.5.52487 10/1/18 4/1/2020 2018.3.4.51585 8/27/18 2/27/2020 2018.2.6 8/16/2018 2/16/2020 2018.1.6 7/17/2018 1/17/2020 2018.2.5.48994 7/5/18 1/5/2020 2018.2.4.47804 5/31/2018 12/1/2019 2018.1.4.44311 4/2/2018 10/2/2019 2018.1.3.42973 3/6/2018 9/6/2019 11.8.3.40692 1/19/2018 7/19/2019 11.7.4.37815 11/28/2017 5/28/2019 11.5.1.31573 8/15/2017 2/15/2019 11.3.3.30523 7/14/2017 1/14/2019 11.3.2.29874 6/27/2017 12/27/2018 11.0.5.26351 3/21/2017 9/21/2018 11.0.3.25674 2/15/2017 8/15/2018 10.6.8.17850 7/12/2016 6/28/2018 10.6.6.17413 6/28/2016 12/28/2017 10.5.9.15014 5/5/2016 11/5/2017 10.1.7.12188 2/18/2016 8/18/2017 10.1.7.11834 2/4/2016 8/4/2017 10.1.6.11313 1/14/2016 7/14/2017 10.1.6.60263 11/30/2015 5/30/2017 Predictive Analytics 10/24/2015 4/24/2017 10.0.9.58949 9/26/2015 3/26/2017 10.0.9.58645 9/9/2015 3/9/2017 10.0.9.58529 9/3/2015 3/3/2017   Alteryx Connect Release Version Version Information Displayed in Product Release Date End of Support (EOS) 2018.4 v18-4-1-20181114.131138-git.3fd95347 11/14/2018 5/14/2020 2018.3.0  v18-3-7-20180814.115808-git.ae708379 8/27/2018 2/27/2020 2018.2.4.47804 v18-2-6-20180418.134811-git.67cf65dd 5/31/2018 12/1/2019 3.0.0_0c4cae69 v17-4-7-20180212.164240-git.0c4cae69 3/6/2018 9/6/2019 2.0.0_05b4e5c2 N/A 11/28/2017 5/28/2019 1.0.1.31573 N/A 9/12/2017 3/12/2019 1.0.0.31573 N/A 8/15/2017 2/15/2019   Alteryx Promote Release Version Version Information Displayed in Product Release Date End of Support (EOS) 2019.1.0 v2019.1.0 - Build f8ae666 2/13/19 8/13/2020 2018.4.1 v2018.4.1 - Build 167a0f1 12/4/2018 6/4/2020 2018.4.0 v2018.4.0 - Build 5926960 11/14/2018 5/14/2020 2018.3.1 v2018.3.1 - Build d88f0a6 10/1/2018 4/1/2020 2018.3.4.51585 v2018.3.0 - Build c14dfc7 8/27/2018 2/27/2020 2018.2.4.47804 v2018.2.0 - Build 593b5b29 5/31/2018 12/1/2019 2018.1.3.42973 v2018.1.0 - Build 2bfb396 3/6/2018 9/6/2019   Alteryx Analytics Product Compatibility Policy Alteryx is committed to ensuring that workflows created in legacy versions of Alteryx Designer will continue to work as expected with newer versions of Alteryx Designer. Alteryx will identify any known workflow compatibility issues. With the release of 11.7, a user may convert workflows created in a newer version of Alteryx Designer for use in an older version of Alteryx Designer. In this 'downgrade' scenario, a dialog appears asking the user to confirm or cancel the conversion process. Conversions performed in this manner are not fully tested for compatibility. For Alteryx Designer users who also use Alteryx Server, Alteryx is also committed to ensuring that in an upgrade scenario, legacy versions of Alteryx Designer are able to successfully connect to and use the newest Alteryx Server version. Therefore, it is always recommended to upgrade Alteryx Server first and the Alteryx Designer installations are upgraded thereafter. Alteryx will identify any known upgrade compatibility issues. If you experience any issues with an upgrade, please visit alteryx.com/support.   Alteryx Designer Predictive Tools Compatibility Policy Alteryx Designer users can install predictive tools for use with open source R, or Microsoft R. This table details the versions compatible with each release of Alteryx Designer.   Alteryx Designer Version Standard R Version RRE - Revolution R Enterprise (renamed as Microsoft R Server in 2016) Microsoft R Client (MRC) Microsoft R Server (renamed as Microsoft Machine Learning Server in 2018) Microsoft Machine Learning Server (MMLS) 2019.1 3.4.4 Deprecated by vendor - Not supported 3.4.3 Deprecated by vendor - Not supported 9.3 2018.4 3.4.4 Deprecated by vendor - Not supported 3.4.3 Deprecated by vendor - Not supported 9.3 2018.3 3.4.4 Deprecated by vendor - Not supported 3.4.3 Deprecated by vendor - Not supported 9.3 2018.2 3.4.4 Deprecated by vendor - Not supported 3.4.3 Deprecated by vendor - Not supported 9.3 2018.1 3.3.2 Deprecated by vendor - Not supported 3.3.2 9.0/ 9.1 NA 11.8 3.3.2 Deprecated by vendor - Not supported 3.3.2 9.0/ 9.1 NA 11.7 3.3.2 Deprecated by vendor - Not supported 3.3.2 9.0/ 9.1 NA 11.5 3.3.2 Deprecated by vendor - Not supported 3.3.2 9.0/ 9.1 NA 11.3 3.3.2 Deprecated by vendor - Not supported 3.3.2 9.0/ 9.1 NA 11.0 3.3.2 Deprecated by vendor - Not supported 3.3.2 9.0/ 9.1 NA 10.6 3.2.3 8.0 Not supported NA NA     Alteryx Analytics Platform Hardware and Operating System Requirements Product Chip Disk Size Machine OS Processor RAM Designer Quad core (single chip) 500GB - 1TB Minimum: 64-bit, High Performance: 64-bit, 32-bit not supported Microsoft Windows 7 or later (64-bit) 2.5GHz or faster 8GB;16GB Connect Quad core (single chip) 100GB Recommended: 64-bit, 32-bit not supported Microsoft Windows Server 2008R2 or later 2.5GHz or faster 8GB Promote Quad core (single chip) 100GB Required: 64-bit, 32-bit not supported Linux CentOS 7 2.5GHz or faster 16 GB Server Quad core (single chip) 1TB Recommended: 64-bit, 32-bit not supported Microsoft Windows Server 2008R2 or later 2.5GHz or faster 16GB;32GB   Supported Browsers for Alteryx Analytics Platform   Alteryx Analytics is supported on the following versions of Chrome, Safari, Firefox, Internet Explorer and Edge web-browsers*:       Chrome - Windows Safari - MacOS Firefox Standard Release Internet Explorer Edge Alteryx Analytics Platform latest 11 and above latest (60 and above for Firefox ESR) 11 and above latest         *Note: from time to time, the vendor may provide an update to its web-browser that results in compatibility issues with the browser version used by Alteryx in the development and pre-release testing of the Alteryx platform. Alteryx will use reasonable efforts to mitigate against this risk but we also encourage you to be mindful of browser versions used within your organization and to manage your deployment of the Alteryx platform accordingly.   Alteryx Virtual Environment Support Nutanix, Azure, AWS, VMWare, GCP. All of Alteryx's products run in modern virtualized environments that are properly configured. Support also depends on using a supported and properly configured Windows operating system that also meets or exceeds minimum OS hardware environments. Alteryx Server MongoDB Support Policy Alteryx Server users have two options for managing user and instance metadata. 1) Use the version of MongoDB embedded in the server installation 2) BYO (Bring Your Own) Mongo DB instance Alteryx ships a version of MongoDB in product <OR> customers can connect to their own version. In the case of the latter, Alteryx doesnt provide support, but we do ensure that users are able to successfully connect to their own existing instance of MongoDB and the expectation is that users will be able to connect to that MongoDB instance and manage their Server users and metadata from there.   Release Version Release Date End of Support (EOS) Version of MongoDB embedded Certified versions of MongoDB supported to connect to user managed instances 2019.1.4.57073 2/13/19 8/13/2020 MongoDB version 3.4 MongoDB version 3.0 and 3.4 2018.4.3.54046 11/14/2018 5/14/2020 MongoDB version 3.4 MongoDB version 3.0 and 3.4 2018.3.5.52487 10/1/18 4/1/2020 MongoDB version 3.4 MongoDB version 3.0 and 3.4 2018.1.6 7/17/2018 1/17/2020 MongoDB version 3.4 MongoDB version 3.0 and 3.4 2018.2.5.48994 7/5/2018 1/5/2020 MongoDB version 3.4 MongoDB version 3.0 and 3.4 2018.2.4.47804 5/31/2018 12/1/2019 MongoDB version 3.4 MongoDB version 3.0 and 3.4 2018.1.4.44311 4/2/2018 10/2/2019 MongoDB version 3.0 MongoDB version 3.0 2018.1.3.42973 3/6/2018 9/6/2019 MongoDB version 3.0 MongoDB version 3.0 11.8.3.40692 1/19/2018 7/19/2019 MongoDB version 3.0 MongoDB version 3.0 11.7.4.37815 11/28/2017 5/28/2019 MongoDB version 3.0 MongoDB version 3.0 11.5.1.31573 8/15/2017 2/15/2019 MongoDB version 3.0 MongoDB version 3.0 11.3.3.30523 7/14/2017 1/14/2019 MongoDB version 3.0 MongoDB version 3.0 11.3.2.29874 6/27/2017 12/27/2018 MongoDB version 3.0 MongoDB version 3.0 11.0.5.26351 3/21/2017 9/21/2018 MongoDB version 3.0 MongoDB version 3.0  
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You know that a huge part of conveying information to your audience is your visual presentation. Here's a way to increase the amount of information that can be shared with just a glance: Segment the data in a chart with color.
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With the release of 2018.3   comes   a very exciting new functionality – workflow caching! Caching can save a lot of time during workflow development by saving data at “checkpoints” in the workflow, so that each time you add a new step to your workflow, it does not need to rerun the workflow in its entirety, rather it can pick up from your last Cache point. There are a couple conditions where tools cannot be selected as cache points, including tools with multiple output anchors, and tools in "circles".
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With the release of 2018.3 comes the long-awaited and highly anticipated Python Tool! This article is a general introduction to using the tool.
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