Here are 15 different data visualization examples to inspire you. While data visualizations are a great way to stay informed, they can also be a great help for your business. Who among us didn’t compulsively check out maps and line charts of new cases? It became especially en vogue during the height of COVID-19. For the rest of us, there’s data visualization.ĭata visualization empowers businesses by condensing vital information into an exciting visual format. It also supports them out-of-the-box for corporate and product teams.For some people, there’s nothing more engaging than a well-organized table of in-depth data. To learn more about Yellowfin's data visualization product suite, check out how our BI solution works for various types of data visualization. Furthermore, it carries innovative charts & supports JavaScript charting libraries that include D3 and three.js. It also incorporates location intelligence, such as in-built mapping ability and Google Maps API for visuals. Thankfully, white-labeling and integration with native apps is also possible. Unlike the limited functionality offered by solutions in the market, Yellowfin provides a complete package. In addition, it provides a flexible design canvas for novices and expert designers alike. While other solutions in the market have simple visualization options, Yellowfin provides a wide range of different types of data visualization and customization, with over 50 types of charts. Support for these various types of visualizations come down to the business intelligence (BI) and analytics solution you adopt, with certain modern vendors offering extensive data visualization tools - including Yellowfin.īest Enterprise Data Visualization Tool for Charting Other methods of visualizing information include: What are Other Options for Data Visualization?ĭata visualization is a powerful tool that may help you become a better communicator in your reports and dashboards.Īlthough the techniques discussed above are some of the most popular, there are many more types of data visualization available to use. Remember that a pictogram is not a good choice for large data sets as it becomes difficult to count. It presents simple data aesthetically engagingly, using repeated icons to show simple data.Īpart from making the data engaging, it also proves handy in situations when cultural differences emerge as a hurdle to making the audience understand the data. Regarding data visualizations, a pictogram is another type that uses icons and images to represent data. The usefulness of scatter plots emerges when the data is significantly large, as identification of trends is possible only in the presence of extensive data points. The purpose of a scatter plot is to show the relationship between the provided variables, which, in turn, helps identify trends or correlations in data. We represent the data for two variables by points against the vertical and horizontal axis. While circle color presents categories of data, circle size represents the volume of the data. It transforms boring content into eye-catching content when you equip it with an aesthetically-appealing map.Īn example of a scatter plot, created in Yellowfin.Īnother data visualization technique is a scatter plot. The aesthetic element is another significant reason to use it. Readers can read the distribution of data in each region, so it brings convenience to make better decisions. Its data expression is crystal clear, intuitive, and presents data in the form of maps. Instead of plotting values, it shows value by filling regions with color on a map. It is a useful method when you want to plot a dataset that corresponds to actual geographic locations. Map-based plot is another type of data visualization technique that helps show geographically related data. It shows a linear process comprising sequential stages and a swift picture of where people drop out of the process. The funnel width displays the number of users that make their way at each step. It helps track users in a pipeline flow for example, for sales, it specifically shows the decreasing values as customers go through the sales funnel. An example of a funnel chart, created in Yellowfin.Ī funnel chart is the type of data visualization people often use in multiple business contexts.
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