Creating bins to bucket our data
When we get fields such as sales, profit, discount, and many more in either the Rows or Columns shelf, it creates an axis. However, at times, it is important to organize these continuous measures into discrete groups rather than just showing the individual values for each and every data point. For example, let's say we have a field that holds the age of people ranging from 10 to 90. Rather than showing each and every age in the view, we can bin the individual ages into age groups such as 10 to 25, 26 to 40 and so on. This helps us get an idea of the distribution of the population. The range of this distribution is called a Class Interval. Further, in order to visualize this distribution of data, we use a graphical representation called Histogram which was first introduced by Karl Pearson.
Thus, in other words, binning is a process of dividing the entire range of quantitative values into a series of small intervals and then counting how many values fall into...