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ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
r/dataisbeautiful, also known as Data Is Beautiful, is a subreddit dedicated to aesthetically pleasing works of data visualization. [ 2 ] [ 3 ] [ 4 ] It was created in 2012; as of January 2022, it has over 20 million members.
Stack Overflow is a question-and-answer website for computer programmers. It is the flagship site of the Stack Exchange Network . [ 2 ] [ 3 ] [ 4 ] It was created in 2008 by Jeff Atwood and Joel Spolsky .
A typical stack is an area of computer memory with a fixed origin and a variable size. Initially the size of the stack is zero. A stack pointer (usually in the form of a processor register) points to the most recently referenced location on the stack; when the stack has a size of zero, the stack pointer points to the origin of the stack.
The median absolute deviation is a measure of statistical dispersion.Moreover, the MAD is a robust statistic, being more resilient to outliers in a data set than the standard deviation.
When data is organized in an R-tree, the neighbors within a given distance r and the k nearest neighbors (for any L p-Norm) of all points can efficiently be computed using a spatial join. [9] [10] This is beneficial for many algorithms based on such queries, for example the Local Outlier Factor.
In some programming languages, the maximum size of the call stack is much less than the space available in the heap, and recursive algorithms tend to require more stack space than iterative algorithms. Consequently, these languages sometimes place a limit on the depth of recursion to avoid stack overflows; Python is one such language. [13]
The top row is a series of plots using the escape time algorithm for 10000, 1000 and 100 maximum iterations per pixel respectively. The bottom row uses the same maximum iteration values but utilizes the histogram coloring method. Notice how little the coloring changes per different maximum iteration counts for the histogram coloring method plots.