Description: Relative frequency is a statistical measure that expresses the proportion of times a particular value occurs in a dataset relative to the total number of observations. It is calculated by dividing the absolute frequency of a specific value by the total number of observations, allowing for an understanding of the importance or weight of that value within the dataset. This metric is fundamental in statistical analysis and data science, as it provides a clear view of data distribution and helps identify patterns and trends. Relative frequency is commonly expressed as a percentage or fraction, facilitating its interpretation. For example, if in a dataset of 100 entries, a value appears 25 times, its relative frequency would be 0.25 or 25%. This information is crucial for data visualization, as it allows for the creation of graphs and tables that effectively represent data distribution, helping analysts communicate their findings clearly and concisely. In summary, relative frequency is an essential tool in data analysis, providing a solid foundation for informed decision-making and understanding complex phenomena.
