Alteryx Designer Knowledge Base

Definitive answers from Designer experts.
Data blending, transformation and cleansing..oh my! Whether you're looking to apply a mathematical formula to your numeric data, perform string operations on your text fields (like removing unwanted characters), or aggregate your spatial data (among many other things!), the Formula Tool is the place to start.  With the examples provided below, you should be on your way to harnessing the many functions of the Formula Tool:
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The Select Tool within the Alteryx Designer is the equivalent of your High School Sweetheart. Always there when you needed them and helped you find out more about yourself. The Select Tool can do exactly this by showing you the data type and structure of your data, but it also gives you the flexbility to change aspects of your dataset.
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The Append Fields tool adds every row of the source input to every row of the target input as new columns. This is also known as a Cartesian or cross join!
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OneDrive is a file hosting and synchronization service operated by Microsoft. You can connect to a OneDrive instance in Alteryx with the OneDrive Input tool and the OneDrive Output tool.
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One of the most underrated tool groups, the Documentation Category is full of gems that can help you improve the aesthetic, organization, and shareability of your workflows. Chief among them is the Tool Container Tool – in addition to better aesthetic this tool has the ability to disable all the tools within it, lending itself to a handful of functional applications as well:
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Quick navigation for the Tool Mastery Series!
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This tool provides a number of different univariate time series plots that are useful in both better understanding the time series data and determining how to proceed in developing a forecasting model.
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The TS Filler Tool takes a data stream of time series data and fills in any gaps in the series.
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The Arrange Tool allows you to manually transpose and rearrange your data. It can be used to combine multiple fields into a single target field.
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A part of the Spatial Tools Category, the Distance Tool calculates how far apart spatial objects are.
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The humble histogram is something many people are first exposed to in grade school. Histograms are a type of bar graph that display the distribution of continuous numerical data. Histograms are sometimes confused with bar charts, which are plots of categorical variables.
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The subtitle to this article should be a short novel on configuring the Decision Tree Tool in Alteryx. The initial configuration of the tool is very simple, but it you chose to customize the configuration of the tool at all, it can get complicated quickly. In this article, I am focusing on the configuration of the Tool. However, because it is a Tool Mastery, I am covering everything within the configuration of the tool
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Typically the first step of Cluster Analysis in Alteryx Designer, the K-Centroids Diagnostics Tool assists you to in determining an appropriate number of clusters to specify for a clustering solution in the K-Centroids Cluster Analysis Tool, given your data and specified clustering algorithm. Cluster analysis is an unsupervised learning algorithm, which means that there are no provided labels or targets for the algorithm to base its solution on. In some cases, you may know how many groups your data ought to be split into, but when this is not the case, you can use this tool to guide the number of target clusters your data most naturally divides into.
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Clustering analysis has a wide variety of use cases, including harnessing spatial data for grouping stores by location, performing customer segmentation or even insurance fraud detection. Clustering analysis groups individual observations in a way that each group (cluster) contains data that are more similar to one another than the data in other groups. Included with the Predictive Tools installation, the K-Centroids Cluster Analysis Tool allows you to perform cluster analysis on a data set with the option of using three different algorithms; K-Means, K-Medians, and Neural Gas. In this Tool Mastery, we will go through the configuration and outputs of the tool.
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The Append Cluster Tool is effectively a Score Tool for the K-Centroids Cluster Analysis Tool. It takes the O anchor output (the model object) of the K-Centroids Cluster Analysis Tool, and a data stream (either the same data used to create the clusters, or a different data set with the same fields), and appends a cluster label to each incoming record. This Tool Mastery reviews its use. 
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The Neural Network Tool in Alteryx implements functions from the nnet package in R to generate a type of neural networks called multilayer perceptrons. By definition, neural network models generated by this tool are feed-forward (meaning data only flows in one direction through the network) and include a single Hidden Layer. In this Tool Mastery, we will review the configuration of the tool, as well as what is included in the Object and Report outputs.
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The Alteryx Forest Tool implements a random forest model using functions in the randomForest R package. Random forest models are an ensemble learning method that leverages the individual predictive power of decision trees into a more robust model by creating a large number of decision trees (i.e., a "forest") and combining all of the individual estimates of the trees into a single model estimate. In this Tool Mastery, we will be reviewing the configuration of the Forest Model Tool, as well as its outputs. 
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First added to Alteryx Designer in version 10.6, the Optimization Tool is a member of the Prescriptive Tools (included with the Predictive Tools installation) and allows you to solve optimization problems. Mathematical Optimization is the selection of the best possible option(s), given a set of alternatives and a selection criterion. In this Tool Mastery, we will review the inputs, configuration, and outputs of the Optimization Tool.
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Introduced in Alteryx Designer 2018.3, the Insight tool can be used to build and combine multiple interactive charts into an interactive dashboard, allowing you to clearly communicate your analysis and data insights. This article will review many of the features of the Insight tool, and how to use them. With this article, I hope you feel empowered to take on your Visualytics adventures head-first.
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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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This article is part of the Tool Mastery Series, a compilation of Knowledge Base contributions to introduce diverse working examples for Designer Tools. Here we’ll delve into uses of the Join Tool on our way to mastering the Alteryx Designer:
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