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Add Error Bars to Charts and Plots   (Mathematica How To)
Plots of data based on measurements often have vertical lines or intervals centered at the points to indicate the associated error estimates. Mathematica lets you add such ...
Customization is an important part of Mathematica 's extensive data visualization capabilities. While the default settings for displaying points in a plot are suitable in ...
Get Results for Fitted Models   (Mathematica How To)
When fitting data to a model, it is often important to obtain additional results to compare the data to the fitted function. You may wish to check the significance of ...
Plot Diagnostics for Fitted Models   (Mathematica How To)
Diagnostics are an important part of analyzing models of data. Plots of residuals and leverage or influence measures provide valuable insight into whether assumptions of the ...
DOT   (Mathematica Import/Export Format)
DOT graph language and data format. Commonly used exchange format for graphs. Stores a single attributed, directed, or undirected graph. Can contain user-defined graph, edge, ...
GXL   (Mathematica Import/Export Format)
GXL graph data format. Used for the storage and exchange of graphs. GXL is an acronym derived from Graph Exchange Language. XML-based format. Represents typed, attributed, ...
JPEG   (Mathematica Import/Export Format)
MIME type: image/jpeg JPEG raster image and compression format. Commonly used for photographic images by digital cameras and on the web. JPEG is an acronym for Joint ...
Animator   (Built-in Mathematica Symbol)
Animator[u] represents an object that displays with the value of u being continually increased from 0 to 1 with time. Animator[u, {u_min, u_max}] makes u vary from u_min to ...
ArrayRules   (Built-in Mathematica Symbol)
ArrayRules[SparseArray[...]] gives the rules {pos_1 -> val_1, pos_2 -> val_2, ...} specifying elements in a sparse array. ArrayRules[list] gives rules for SparseArray[list].
ImageLevels   (Built-in Mathematica Symbol)
ImageLevels[image] gives a list of pixel values and counts for each channel in image. ImageLevels[image, n] bins pixel values into n equally spaced levels.ImageLevels[image, ...
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