Export your insights into files for further analysis. For details about exports, see Export Insights.Navigate between steps or clear your insight.Configure your insight - change colors, modify axes, legends, and canvas. For details, see Configure Insight Properties. ![]() Recommendations help you modify your insight based on common usage patterns.A barplot is a one way to displaying how data are distributed across a qualitative variable. Before you continue: Review this online lesson about data types. While these principles are most often applied to quantitative data, they can be used to transform qualitative data as well. This tutorial will look at the visualisation functions in the ggplot2 package and some of R’s basic data visualisation functions. Drag the Date or any attribute to the bar to filter your data, or click the filter button to select attributes from your insight. For details, see also Filter Metrics by Date. These principlesproximity, similarity, closure, connection and enclosureserve as a data visualization toolbox (Betzendahl 2020 triva79 2019).Create ad hoc metrics using basic arithmetic functions. For details, see Create Metrics in Insights. ![]()
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