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Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value Same box-plot with whiskers drawn within the 1.5 IQR value 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.
Box and whisker plot: Box and Whisker Plot: x axis; y axis; A method for graphically depicting groups of numerical data through their quartiles. Box plots may also have lines extending from the boxes (whiskers) indicating variability outside the upper and lower quartiles. Outliers may be plotted as individual points.
Box plot : In descriptive statistics, a boxplot, also known as a box-and-whisker diagram or plot, is a convenient way of graphically depicting groups of numerical data through their five-number summaries (the smallest observation, lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation). A boxplot may also indicate which ...
Candlestick charts are thought to have been developed in the 18th century by Munehisa Homma, a Japanese rice trader. [2] They were introduced to the Western world by Steve Nison in his book Japanese Candlestick Charting Techniques, first published in 1991.
Statistical graphics have been central to the development of science and date to the earliest attempts to analyse data. Many familiar forms, including bivariate plots, statistical maps, bar charts, and coordinate paper were used in the 18th century.
In statistical graphics, the functional boxplot is an informative exploratory tool that has been proposed for visualizing functional data. [1] [2] Analogous to the classical boxplot, the descriptive statistics of a functional boxplot are: the envelope of the 50% central region, the median curve and the maximum non-outlying envelope.
The thin horizontal lines—sometimes referred to as whiskers—emerging from the box indicate the magnitude of the confidence interval. The longer the lines, the wider the confidence interval, and the less reliable the data. The shorter the lines, the narrower the confidence interval and the more reliable the data.
Templates can be used to get users started on their diagrams. Additionally, the software allows users to collaborate on diagrams in real time over the Internet. There are also numerous tools to create very specific types of visualizations, such as creating a visualization based on embedded data in the photos on a user's smartphone .