Histogram binning is a technique used in data visualization to group continuous data into discrete intervals, known as bins. Each bin represents a range of values, and the height of the bar in the histogram indicates the frequency of data points that fall within that range. This helps in understanding the distribution of the data. The choice of bin size can significantly affect the appearance and interpretation of the histogram. Smaller bins may reveal more detail but can also introduce noise, while larger bins can smooth out variations but may hide important patterns. Proper binning is essential for accurate data analysis.