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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.
I’m proud to show off some of the great features of the Interactive Chart tool . Using the new Interactive Chart tool, users can immediately validate the configuration options selected to ensure the desired chart is created. There is no longer a need to re-run the workflow to see changes reflected in the chart.
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.
Imagine this – you’re on vacation. You’re on a sandy beach where the sun has been relentless all day. It’s hot and you need something to cool you off. Ice cream would be perfect! The Find Nearest tool can help!
You’re creating an app that involves dates. You want the user to be able to dynamically select the dates being used in the app, though. The tools you already know may not work. A Text Box would be too messy and allow lots of room for error. Pre-defined Drop Downs and List Boxes aren’t dynamic enough. Ah ha! What about that tool that looks like a calendar? The Date tool in the Interface category provides the perfect solution!
Trying to convert all of your old, mundane Excel workbooks into Alteryx workflows? The Running Total Tool could be the key to your success! You know, it’s that tool in the Transform category with the little running man picture on it.
As most of us can agree, predictive models can be extremely useful. Predictive models can help companies allocate their limited marketing budget on the most profitable group of customers, help non-profit organizations to find the most willing donors to donate to their cause, or even determine the probability a student will be admitted into a given school. A well-designed predictive model can help us make smart and cost-effective business decisions.
Logistic Regression is different from other types of regression because it creates predictions within a range of 0-1 and it does not assume that the predictor variables have a constant marginal effect on the target variable - making it applicable to many dichotomous problems including: estimating the probability that a student will graduate, the probability that a voter will vote for a specific candidate, or the probability that someone will respond to a marketing campaign.
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
Don’t know the area of your polygon? Need the length of your line? Do you want your spatial object’s X and Y coordinates? Don’t Panic! The Spatial Info tool can translate all that information and more!
The Dynamic Replace Tool is an under-utilized tool in the Developer Toolset that is very powerful. It allows for dynamic formulas or conditions to be used in your workflow. It was first introduced in Alteryx 6.1 . It’s one of the few tools that is currently multi-threaded which makes is fast.
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.
When using a macro placed in a workflow, the Macro Input Tool will be used to pass data from the workflow to the macro. Becoming a master of the macro input will allow you the flexibility to map your fields, have optional inputs, and even optional fields.
The Field Summary Tool analyzes data and creates a summary report containing descriptive statistics of data in selected columns. It’s a great tool to use when you want to make sure your data is structured correctly before using any further analysis, most notably with the suite of models that can be generated with the Predictive Tools.