3/16/2023 0 Comments Tableau prep builder tutorialLearning How to Create Effective Data Visualizations They regularly add new content so make sure you subscribe to their mailing list to get their latest data tips sent directly to you. Another external resource that I have found helpful is Playfair Data’s blog which offers a wealth of Tableau-specific data tips and tutorials on how to make different chart types, fundamentals, visualization strategies, and tips and tricks. You can also connect with other Tableau users in your industry, region or role through the Community User Groups. If you need help with something specific that isn’t covered in the tutorials, visit the Tableau Community Forums where you can search for help on a given topic or ask a question if you can’t find what you’re looking for. If you still have questions or need help with something specific, you can visit the GDS Help Community to find posts on different topics, or ask a question if you can’t find what you’re looking for.įor Tableau, you can start with the Tableau Desktop tutorial and Tableau Prep tutorial which walks you through the features and functionalities, and helps you learn how to use Tableau through hands-on projects that involve working with sample data sets to complete tasks for an example use case. If you prefer a hands-on tutorial, you can take the Introduction to Data Studio online course, a free beginner course available through Google Analytics Academy. Learning How to Use Your Visualization ToolĪfter you’ve chosen a platform that best suits your needs, there are many resources available to help you get started with learning either tool.įor GDS, you can start with the GDS Help Center for a guide on how to get started and how to use the available features. Before purchasing a subscription, Tableau offers a free 14-day trial so you can decide if it’s the right fit for you. However, if you are looking to create complex interactive visualizations or want data analysis capabilities, Tableau will be better suited for your needs. Like GDS, Tableau also has a drag and drop interface but includes more advanced features than GDS, so the learning curve is steeper. I recommend using Tableau’s free server platform called Tableau Public, which is fully hosted by Tableau just sign up, create a profile, and you’re ready to go. In addition to these products, you’ll need to publish the visualizations and dashboards created in Tableau Desktop to a server in order to share them with others. Tableau Desktop is the software product used to create visualizations and dashboards, and Tableau Prep Builder allows you to combine, shape and clean your data. Tableau requires a software download of their product which isn’t free, but they do offer special pricing for nonprofits ($74 for a 2-year subscription for one user, which includes both Tableau Desktop and Tableau Prep Builder). Because GDS is free and has an intuitive drag and drop user interface, it’s a great option for those who might not be ready to invest a lot of time and money into data visualization, and are just looking to create simple visualizations or reports. To get started, simply go to the GDS website and log in to your Google account since it is a web-based tool, there is no software download needed. Google Data Studio is a completely free Google tool that requires a Google account in order to create and edit visualizations, however they can then be shared with anyone and viewers are not required to have an account. There are many visualization tools to choose from, however this guide focuses on two in particular that I use and are also widely used by others – Google Data Studio (GDS) and Tableau. To help those interested in getting started with data visualization, I have created this guide that outlines the main considerations when choosing a visualization tool, points to resources for learning how to use that tool, and shares my favorite resources for learning how to create effective visualizations. As the data and visualization lead at the Hawai‘i Data Collaborative, I often receive requests for help with data visualization, and have found that those interested often do not realize they can learn to create visualizations themselves with just a little guidance. By Tiana Tran, Hawai‘i Data Collaborativeĭata visualization is becoming an increasingly popular tool for organizations to share and make sense of their data.
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