Data interpolation

Data interpolation is a method used to estimate unknown values that fall between known data points. For example, if you know the temperature at 9 a.m. and 11 a.m., interpolation helps you estimate the temperature at 10 a.m. by assuming a reasonable pattern between those times. It's like connecting the dots with a smooth line to fill in gaps, enabling us to make informed guesses about data points we haven't directly measured. This technique is common in fields like science, engineering, and finance to create continuous data from discrete observations.