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The iPad version was released on January 27, 2010. [4] The app was later updated to support iPhone and iPod Touch. Column chart of Mac worldwide quarterly sales, made with Numbers. Numbers uses a free-form "canvas" approach that demotes tables to one of many different media types placed on a page.
Download as PDF; Printable version; In other projects ... FreeBSD, Linux, Mac OS X, OS/2 ... Mac, Windows: plots and charts from data
The first release of the new OS — Mac OS X Server 1.0 — used a modified version of the Mac OS GUI, but all client versions starting with Mac OS X Developer Preview 3 used a new theme known as Aqua. Aqua was a substantial departure from the Mac OS 9 interface, which had evolved with little change from that of the original Macintosh operating ...
The two most important classes of divergences are the f-divergences and Bregman divergences; however, other types of divergence functions are also encountered in the literature. The only divergence for probabilities over a finite alphabet that is both an f -divergence and a Bregman divergence is the Kullback–Leibler divergence. [ 8 ]
Point and figure (P&F) is a charting technique used in technical analysis.Point and figure charting does not plot price against time as time-based charts do. Instead it plots price against changes in direction by plotting a column of Xs as the price rises and a column of Os as the price falls.
Bregman divergences between functions include total squared error, relative entropy, and squared bias; see the references by Frigyik et al. below for definitions and properties. Similarly Bregman divergences have also been defined over sets, through a submodular set function which is known as the discrete analog of a convex function.
The Google Charts Release Notes page [2] provides a comprehensive list of all updates and changes made. Google Charts is notable for its use in education. The NCBI article titled "Teaching Data Science to Medical Students: A Multi-Disciplinary Approach" (NCBI article [ 3 ] ) covered how Google Charts has helped medical students learn about data ...
t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map.