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The partnership between Alteryx and Tableau is becoming stronger and stronger, and the seamless effortless integration has been made easier through the Publish to Tableau Server Tool. This article demonstrates the use of the Publish to Tableau Server tool, available on the Alteryx Analytics Gallery.
The Multi-Row Formula Tool functions much like the normal Formula Tool but adds the ability to reference multiple rows of data within one expression . Say, for example, someone was on the ground floor of a house and had a Formula Tool. They would only be able to talk to the people also on the ground floor. If they had a Multi-Row Formula Tool, though, they would also be able to talk to the people upstairs, in the attic, and in the basement as well.
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.
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.
Sometimes you look at the steaming pile of data before you and wonder how you’ll ever get it in the form you need. Every option seems to require a great deal of manual labor, and as a lazy– er that is , as a data blending professional , that is simply something you will not abide.
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".
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!
“Unhandled Exception occurred” error is thrown when you copy and paste text (Ctrl-V) using the R Tool.
Now, to witness it happening:
Looking at the error log you will see error message below:
Default Log path - C:\ProgramData\Alteryx\ErrorLogs\AlteryxGUI
If you look at the log, you can see the error is directly related to the FIPS cryptographic algorithms. According to Wikipedia, FIPS stands for Federal Information Processing Standards and it is a “standard developed by the United States federal government for use in computer systems by non-military government agencies and government contractors”.
As of right now, “Unhandled Exception occurred” error will be thrown in the R Tool if FIPS compliance is turned on .
Our Development team is fully aware of the problem with the FIPS compliance and is planning to sort this out in the future releases. As for temporary solution, you can consider turning off the FIPS compliance, of course after checking and making sure your IT manager is okay with it, and this should resolve the “Unhandled Exception occurred” error.
Here’s how you can turn off FIPS compliance:
There are other ways to turn on/off FIPS compliance and you can find them here:
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.
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!
A close relative of the Layout Tool , the Visual Layout Tool is the newest, and coolest, Reporting Tool on the block. Sporting all the badassery of the original Layout Tool in its ability to format and arrange reporting objects, the Visual Layout Tool differentiates in that it provides an intuitive, visual, interface that allows for easy drag-and-drop organization of multiple reporting object inputs. Basically, it’s the reporting tool category equivalent of upgrading from Paint to Photoshop.
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!
If you are building a predictive model, inevitably you will want to analyze the effect that your independent variables have on your dependent variable. This article is meant to shed some light on the Alteryx-specific options for this type of analysis!
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.