What is the key feature of bimodal data?

The defining characteristic of bimodal data is that it contains exactly two modes, or peaks, in its distribution. Each mode represents a value or a range where data points are concentrated, indicating that there are two prevalent values within the dataset. This contrasts with unimodal data, which has only one peak, and multi-modal data that can have more than two modes. Understanding bimodal distributions is useful for analyzing data trends where two distinct groups or characteristics are present. This helps in visualizing how data might be segregated or clustered around two different values, leading to insights about the data's nature and implications.