![]() Be prepared for basic cleaning and shaping (Link opens in a new window) to make sure the data is well structured for analysis.Sometimes the data you want is behind a paywall-decide if it’s worth it or not.Stay flexible and open minded about what you can use for a given project.Try to avoid an overly specific preconceived notion of what you want.There are two unavoidable facts about trying to find a data set that’s not official, business-sanctioned data. When you have genuine questions you want to answer with data, the steps of the analysis becomes easier and more meaningful. A good way to learn how to use Tableau Desktop (or build sample or proof-of-concept content) is to find a data set you find interesting.
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