"Boxplots" are graphical representations used to visually display the distribution and statistical properties of a dataset. They consist of a box representing the interquartile range (25th to 75th percentile) of the dataset, as well as lines (whiskers) indicating the spread of the data outside this range. A median (50th percentile) is depicted as a line within the box, and any outliers are shown as individual points beyond the whiskers. Boxplots provide a quick and effective way to compare distributions and identify outliers.
Typical functions of software in the "Boxplots" domain include:
Creation of boxplots: The software allows users to generate boxplots from their datasets, either for single variables or for comparing multiple variables.
Customization of boxplots: The software provides features for customizing boxplots, including changes to colors, scaling, labeling, and appearance of the visualization.
Interactive exploration: The software enables users to interact with the boxplots by moving cursors over the display to show specific values or retrieve details about individual data points.
Statistical analysis: The software offers statistical analyses for the data depicted in the boxplots, such as calculating means, medians, quartiles, and outliers.
Export and reporting: The software allows users to export created boxplots and use them in reports or presentations, often in the form of graphic files or integrated graphics.
