If we look at the continuous meaning, it refers to the type of data which is measurable. Continuous variables can also be divisible; in other words, these variables can go forever. Continuous data can easily be visualized in the form of trend lines, percentages, averages and line graphs. Continuous data is much more granular and specific as compared to discrete data. It is also considered to be more efficient and accurate as compared to discrete. The detailed physical measurement of continuous data like weight can be obtained from measurement tools. Analytics tools can also be helpful in providing more detail. Continuous data can be used in many different ways. For example, industrial and commercial use cases depend on accuracy to maximize efficiency.