Carly Richmond's article explores how to use Kibana to track peak trick-or-treating times using data collected by Jeffrey A. Shaffer from 2008 to 2022 in Cincinnati, Ohio. The piece details the process of converting and uploading the Halloween dataset into Kibana, emphasizing the importance of configuring the correct data types, particularly date fields, for effective time-series analysis. Richmond explains how to build a dashboard using Kibana Lens, incorporating various visualizations like heatmaps and bar charts to identify 7:00pm–8:00pm as the peak trick-or-treating hour. The analysis also highlights notable trends, such as the reduced activity during the 2020 pandemic and significant turnout in 2011, while questioning the lower trick-or-treater numbers in 2013 and 2014. The article encourages readers to engage with the data and share insights within the community, inviting further exploration of trends using Kibana's capabilities.