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Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.
Templates for producing legends for charts, maps, etc. The pages listed in this category are meant to be function templates , i.e. templates that produce text, images or other elements . This page is part of Wikipedia's administration and not part of the encyclopedia.
Shows a legend with a coloured box. This template differs from Template:Legend only in that it uses display:inline to prevent line breaks after each legend. Usage.
Shows a legend row with a colored box and a caption. Template parameters [Edit template data] Parameter Description Type Status Color 1 The color for the legend entry, in any CSS format Example "#6D6E00", "#ffa", "yellow" Line required Caption 2 Label for the legend entry Example "soda" is most common String suggested CSS border style border CSS style for the legend entry's border String ...
Shows a legend entry with a styled line (including color) Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status CSS style 1 The CSS style for the legend entry Example 2px dashed black String required Caption 2 Text displayed in the entry, next to the line style Example Borders in 1920 Line required inline? inline If ...