Deep Dive Into Error Bar Visualization
<p>Data visualization is a tool for data people to simplify information in a way that humans would understand. The technique lets people quickly catch on to any vital pattern and easily interpret complex data.</p>
<p>Depending on the requirement, data aggregation visualization is sometimes necessary to provide a deeper understanding of the data. For example, we can take average tips between each day and show the result in a bar plot.</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:386/1*cstFlf33RBS7TLTIvocgRA.png" style="height:278px; width:386px" /></p>
<p>Bar plot showing tips average for each day with error bar (Image by Author)</p>
<p>In the image above, the error bar is the black line at the top of each bar. However, what is an error bar?</p>
<p>When we visualize the summary statistic, adding an <strong>error bar</strong> within the graph would be fitting to <strong>show the</strong> <strong>aggregation's uncertainty or spread</strong>. It shows how confident we are with the result or how far the values are from the central estimation, depending on what we measure.</p>
<p>How do we measure the error bar, and what the error bar could tell us about our data? Let's dive further.</p>
<p><a href="https://pub.towardsai.net/deep-dive-into-error-bar-visualization-2e153b910799"><strong>Website</strong></a></p>