Description: The Empirical Cumulative Distribution Function (ECDF) is a statistical tool used to represent the cumulative distribution of a sample of data. This function allows for the visualization of the proportion of observations that are less than or equal to a specific value, providing a clear representation of how data is distributed within a dataset. The ECDF is constructed from empirical data, meaning it is based on real observations rather than theoretical assumptions. In a graph, the ECDF is typically presented as a curve that starts at zero and rises to one, showing the cumulative percentage of data as one moves along the range of values. This visualization is particularly useful for identifying trends, comparing distributions, and detecting anomalies in the data. Additionally, the ECDF is a fundamental tool in non-parametric statistics, as it does not require data to follow a specific distribution, making it versatile for various applications in statistics and data analysis.
