The world produces over 2.5 quintillion bytes of data each data, so much data that it has become diff<\/span>icult to make sense of it all. This has led to increasing demand for new technologies and tools to help us collect and analyze this data. Data visualization is one of the techniques that can help us extract insights from data. Data visualization or Information visualization or statistical graphics refers to the representation of data or information in a chart, graph or any other visual format. Data visualization is used because it provides insights traditional statistics cannot and allows users to discover insights quickly and easily.<\/p>\n

When creating data visualizations, we often present the data in different formats using icons, images, maps or any other visuals in order to transform it in ways we think users can easily understand. For example, when we present data on a map we often use a single object that represents different numbers of the object, for example, one tree to represent 50 trees. Such an illustration can end up confusing viewers or users of the data viz and spread misinformation or disinformation.<\/p>\n