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In descriptive statistics, a box plot or boxplot (also known as a box and whisker plot) is a type of chart often used in explanatory data analysis. Box plots visually show the distribution of numerical data and skewness by displaying the data quartiles (or percentiles) and averages.
A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles. Minimum (Q0 or 0th percentile): the lowest data point in the data set excluding any outliers.
What is a Box Plot? A box plot, sometimes called a box and whisker plot, provides a snapshot of your continuous variable’s distribution. They particularly excel at comparing the distributions of groups within your dataset. A box plot displays a ton of information in a simplified format.
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A boxplot, also known as a box plot, box plots, or box-and-whisker plot, is a standardized way of displaying the distribution of a data set based on its five-number summary of data points: the “minimum,” first quartile [Q1], median, third quartile [Q3] and “maximum.”
A box plot, also known as a box-and-whisker plot, is a graphical representation of the distribution of a dataset. It summarizes key statistics such as the median, quartiles, and outliers, providing insights into the spread and central tendency of the data.
What is a Box Plot? A Box Plot is the visual representation of the statistical five number summary of a given data set. A Five Number Summary includes: Minimum. First Quartile. Median (Second Quartile) Third Quartile. Maximum.