{"version":"1.0","type":"rich","title":"A function to calculate the interpolated median of a list of values.","description":"This example demonstrates how to calculate the interpolated median of a list of values, a statistic that preserves the median’s resistance to outliers while better reflecting the distribution’s skew. It uses the `numpy.median` function to find the traditional median, then applies a correction formula based on the counts of values below, equal to, and above that median, returning a continuous value. The code also offers an alternative formula that incorporates an explicit interval parameter. Three sample lists with identical traditional medians but different distributions are tested, printing both medians to show how the interpolated version distinguishes them.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-a13e6e3c26df40c4227d?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}