![]() ![]() Each products score is calculated with real-time data from verified user reviews, to help you make the best choice between these two options, and decide which one is best for your business needs. By contrast, Alteryx rates 4.5/5 stars with 284 reviews. To go through the entire toolkit, click here. Altair Monarch rates 4.5/5 stars with 92 reviews. Other Alteryx Data Investigation tools to be aware of:Īlteryx has an entire data investigation toolkit, many of which are included in the R Predictive Tool download. The R and I output anchors should be connected to Browse tools to view reports of the information from the O anchor. String values will also contain comments and remarks that can include recommendations for how to clean your data. All field types show the percent missing/null and number of unique values. Depending on field type, this can include max, min, standard deviation, range of dates, etc. The O output results in detailed information about each field. ![]() It connects to your data flow and has three outputs: O (output), R (report), I (interactive report). I also especially like the Field Summary tool from the Data Investigation toolkit. The Browse tool will show you a similar distribution of values as well as bars that display Null values (yellow) vs green (ok). Run your workflow to populate the browse tool. You can drag this onto your workflow or use the hotkey Ctrl + Shift + B. In this article, we'll look at the key differences between Alteryx and Tableau to get a better picture of what each tool can achieve. Alteryx specializes in data preparation, while Tableau focuses on data visualization. The most common investigation tool is the Browse tool. Tableau and Alteryx are both industry leaders in their respective fields of analytics. ![]()
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