![]() Use of other scripting languages in Tableau: Also, there is an option in Tableau where the user can make “live” to connections to different data sources like SQL etc.ĥ. Different types of visualization can be created with a large amount of data without impacting the performance of the dashboards. Tableau can handle millions of rows of data with ease. Tableau can handle large amounts of data: Also, Tableau is very easy to learn compared to Python, Business Objects and Domo, anyone without having knowledge of coding can easily learn Tableau.Ĥ. There are many different types of visualization options available in Tableau which enhance the user experience. You can check out some of the amazing visuals created at the Tableau Gallery. The interface can handle endless variations while also limiting you from creating charts that are against data visualization best practices. Using drag-n-drop functionalities of Tableau, the user can create a very interactive visual within minutes. Quickly Create Interactive visualizations: ![]() It has climbed to the top of the data visualization heap because of it’s dedication to this purposeĢ. Therefore, it’s technology is there to support complex computations, data blending and dashboarding for the purpose of creating beautiful visualizations that deliver insights that cannot easily be derived from staring at a spreadsheet. Yay, modularity!Īn obviously good example of this in action is Gmail's filters.Tableau is a data visualization tool first and foremost. As soon as the multi-column sorting is implemented we can easily create custom and predefined filters without having to create the code for each filter. From a programmer's point of view, this is also good because it makes it very flexible for us as well. You can even have a method of saving some filters so that users don't have to redo the same filter every single time. This will give you a lot of flexibility, allowing your users as well to make their own filters to fit their needs. That is, if a user clicks on the Patient tab (so as to sort it ascending for example), and then the date tab, then the table should be sorted first by patient names and then by date of procedure. One thing that would be nice is a multi-column filter. Note the background color to communicate status, and also the change in color to highlight certain columns of importance (or even row headers, if that's even a thing). You can take a few pointers from Monday App (See screenshots below)
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