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Drain plot : A two-dimensional plot where the data are presented in a hierarchy with multiple levels. The levels are nested in the sense that the pieces in each pie chart add up to 100%. A waterfall or waterdrop metaphor is used to link each layer to the one below visually conveying the hierarchical structure. Drain Plot. [4]
Point and figure charts were automated in the UK in the early 1980s by the Indexia company run by Jeremy Du Plessis. This automation increased the popularity and usage of point and figure charts because hundreds of charts could be viewed and altered quickly and easily. At the same time a method of log scaling point and figure charts was devised ...
The chart portion of the forest plot will be on the right hand side and will indicate the mean difference in effect between the test and control groups in the studies. A more precise rendering of the data shows up in number form in the text of each line, while a somewhat less precise graphic representation shows up in chart form on the right.
Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. 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.
A common collection of order statistics used as summary statistics are the five-number summary, sometimes extended to a seven-number summary, and the associated box plot. Entries in an analysis of variance table can also be regarded as summary statistics. [1]: 378
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.
These quartiles are used to calculate the interquartile range, which helps to describe the spread of the data, and determine whether or not any data points are outliers. In order for these statistics to exist, the observations must be from a univariate variable that can be measured on an ordinal, interval or ratio scale .
A spaghetti plot (also known as a spaghetti chart, spaghetti diagram, or spaghetti model) is a method of viewing data to visualize possible flows through systems. Flows depicted in this manner appear like noodles, hence the coining of this term. [1] This method of statistics was first used to track routing through factories.