Calendar heat map

Identifying time-based patterns in large datasets can be challenging, especially when trends are distributed across days, weeks, or months. Traditional line or bar charts often fail to highlight subtle but meaningful fluctuations in daily activity over time. The Calendar Heat Map visualization solves this by transforming time-series data into an intuitive monthly calendar format, where each day's value is color-coded based on intensity. This allows users to spot anomalies, trends, and recurring patterns at a glance—such as spikes in activity, gaps in logging, or peak performance periods. Whether you're tracking system events, user behavior, or performance metrics, this visualization helps you turn raw timestamps into actionable insights.