Final answer:
Large datasets are organized into classes or bins of equal width for manageability and pattern analysis, typically visualized using a histogram.
Step-by-step explanation:
When the number of observations is large, the observations are usually organized in groups of equal width, called classes or bins. The reason for organizing large datasets into these groups is to make the information more manageable and to reveal patterns that might exist within the data. A typical way to visualize these classes is through a histogram, which groups quantitative measures into intervals and displays the frequency of each interval as the height of adjoining boxes or bars on a graph. This graphical representation helps in understanding the distribution, center, and spread of the data. The bin size, which determines the width of these bars, can be calculated by dividing the range of the data by the desired number of bins.