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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 Find Replace Tool is one of those tools that goes relatively unused and uncelebrated until you stumble into a data blending technique that would be extremely difficult without it – at which point, it becomes your favorite tool in the Designer. You can find it in the Join Category and it’ll make easy string substitutions in your data that would otherwise require herculean effort to work around. Today, we celebrate Find Replace as a hero.
A large component of data blending is applying mathematical or transformational processes to subsets of your data. Often, this requires isolating the data that complies with a certain criteria that you’ve set. The Conditional functions build expressions that allow you to apply processes to data that satisfy conditions you set.
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.
For any macro or analytic app – one of the inevitable questions that you may encounter is “how do I configure this to do what I need?” For example, if you build a macro that checks if two fields are equal, but sometimes you want to ignore the case such that “A” equals “a,” and sometimes you want an exact match. This is where the Interface Tool Category comes to the rescue, with a super-tool called Check Box!
While the Join tool is easily one of the most used tools in Alteryx, it can also be one of the most misunderstood. This is even more likely true if a new user hasn’t previously used joins in any other data-manipulating platform or they are joining big tables where they might not be keeping track of the records inside the fields they are joining on.
For most tools that already have “dynamic” in the name, it would be redundant to call them one of the most dynamic tools in the Designer. That’s not the case for Dynamic Input. With basic configuration, the Dynamic Input Tool allows you to specify a template (this can be a file or database table) and input any number of tables that match that template format (shape/schema) by reading in a list of other sources or modifying SQL queries. This is especially useful for periodic data sets, but the use of the tool goes far beyond its basic configuration. To aid in your data blending, we’ve gone ahead and cataloged a handful of uses that make the Dynamic Input Tool so versatile:
Ever have to output tables of differeing schemas to the same Excel workbook? Ever need to output to different tabs? This article covers your bases with the cunning use of Reporting tools! Also included are links to other helpful "outputting to Excel" Knowledgebase Articles.
As long as you know where to look, data has all the answers. Sometimes, though, those answers aren’t clear as day. More often than not, they need to be communicated in an effective format - a format that can let the data talk and highlight the important motifs for you. Another favorite of the Reporting Tool Category , the Charting Tool can do just that by adding expressive visuals to any report or presentation. Offering an exhaustive list of charts to choose from (area, stacked area, column, stacked column, bar, stacked bar, line, tornado, pareto , box and whisker, scatter, bubble, polar, radar, pie), the Charting Tool will give you the ability to add descriptive visuals, with legends and even watermarks, to your reporting workflows that will help you find the answers in your data.
When bringing data into Alteryx a lot of users often add a select tool to check the data type and structure. Data types are very important because of the available operations/functions in tools can be adjusted to fit the data type being used!
Here at Alteryx we believe in working smart, not hard. Building out reports to highlight business-critical metrics is a pretty smart way to track goals. Customizing those reports to everyone in the department, then distributing them as attachments to individual emails? That sounds like a lot of hard work. Scheduling those reports from a refreshing data source each month so you don’t have to remake or rerun the reports yourself - that’s genius. Logging into your work computer to open up Alteryx, then having to check the scheduled results before having any peace of mind those reports were delivered without a hitch? Hard.
Through Adobe Analytics the ability to collect and visualize data from your websites has allowed for improved decision making, yet the format of that data can only take you so far. Within Alteryx you now have the ability to connect to Adobe Analytics and bring that data into Alteryx, allowing you to perform greater data manipulation to provide further insights, as well as Predictive & Spatial Analytics!