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Countour plot vs parametir cplot
Countour plot vs parametir cplot












countour plot vs parametir cplot

Overdrawing occurs when the glyphs that are used to visualize data points overlap. Unfortunately, scatter plots become less effective as the overlap within points increases. These properties make scatter plots good for exploring data sets and communicating interesting findings. Additionally, scatter plots offer a means for comparing different data sets when plotted on the same axes. They can make outliers easy to identify because regions with higher density of points will be grouped perceptually. Scatter plots can display data trends and correlations between any two dimensions. SCATTER plots are a simple, intuitive and natural way of visualizing two dimensional point data. We show how splatterplots can be an effective alternative to traditional methods of displaying scatter data communicating data trends, outliers, and data set relationships much like traditional scatter plots, but scaling to data sets of higher density and up to millions of points on the screen. We present techniques that leverage the GPU for Splatterplot computation and rendering, enabling interaction with massive data sets. The resulting visualizations represent the dense regions of each subgroup of the dataset as smooth closed shapes and show representative outliers explicitly. We combine techniques for abstraction with with perceptually based color blending to reveal the relationship between data subgroups. Abstraction automatically groups dense data points into contours and samples remaining points. To address these issues, Splatterplots abstract away information such that the density of data shown in any unit of screen space is bounded, while allowing continuous zoom to reveal abstracted details. Overdraw obscures outliers, hides data distributions, and makes the relationship among subgroups of the data difficult to discern. Traditional scatter plots suffer from overdraw (overlapping glyphs) as the number of points per unit area increases. We introduce Splatterplots, a novel presentation of scattered data that enables visualizations that scale beyond standard scatter plots.














Countour plot vs parametir cplot