Data binning is a commonly used data processing technique that typically divides continuous numerical or temporal data into multiple intervals (which are mostly adjacent and non-overlapping). This method not only covers the entire data range but also provides clear demarcation for data points within each interval. By performing data binning, we can analyze, visualize, and statistically process complex datasets more effectively. This article will explore how to use the advanced APIs provided by Swift Charts to achieve precise and efficient data binning.