![]() Dashboards: A collection of visualizations and data displayed in one place to help with analyzing and presenting data.Infographic: A combination of visuals and words that represent data. ![]() Geospatial: A visualization that shows data in map form using different shapes and colors to show the relationship between pieces of data and specific locations.Graph: A diagram of points, lines, segments, curves, or areas that represents certain variables in comparison to each other, usually along two axes at a right angle.Table: A set of figures displayed in rows and columns.Can be in the form of a graph, diagram, or map. Chart: Information presented in a tabular, graphical form with data displayed along two axes.There’s a whole selection of visualization methods to present data in effective and interesting ways. Simple graphs are only the tip of the iceberg. While these may be an integral part of visualizing data and a common baseline for many data graphics, the right visualization must be paired with the right set of information. When you think of data visualization, your first thought probably immediately goes to simple bar graphs or pie charts. We’ve also collected 1 0 of the best examples of data visualization of all time, with examples that map historical conquests, analyze film scripts, reveal hidden causes of mortality, and more. Tableau’s own public gallery shows off loads of visualizations made with the free Tableau Public tool, we feature some common starter business dashboards as usable templates, and Viz of the Day collects some of the best community creations. What a crazy concept! With public data visualization galleries and data everywhere online, it can be overwhelming to know where to start. Of course, one of the best ways to understand data visualization is to see it. While traditional education typically draws a distinct line between creative storytelling and technical analysis, the modern professional world also values those who can cross between the two: data visualization sits right in the middle of analysis and visual storytelling. It is increasingly valuable for professionals to be able to use data to make decisions and use visuals to tell stories of when data informs the who, what, when, where, and how. Skill sets are changing to accommodate a data-driven world. The concept of the citizen data scientist is on the rise. ![]() The better you can convey your points visually, whether in a dashboard or a slide deck, the better you can leverage that information. And, since visualization is so prolific, it’s also one of the most useful professional skills to develop. While we’ll always wax poetically about data visualization (you’re on the Tableau website, after all) there are practical, real-life applications that are undeniable. Every STEM field benefits from understanding data-and so do fields in government, finance, marketing, history, consumer goods, service industries, education, sports, and so on. It’s hard to think of a professional industry that doesn’t benefit from making data more understandable. Whether simple or complex, the right visualization can bring everyone on the same page, regardless of their level of expertise. The importance of data visualization is simple: it helps people see, interact with, and better understand data.
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