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[PDF][PDF] State of the Art of Parallel Coordinates.
This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …
parallel coordinates. It covers geometric models for constructing parallel coordinates and …
Reveal, don't conceal: transforming data visualization to improve transparency
Reports highlighting the problems with the standard practice of using bar graphs to show
continuous data have prompted many journals to adopt new visualization policies. These …
continuous data have prompted many journals to adopt new visualization policies. These …
Visualizing high-dimensional data: Advances in the past decade
Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …
computing resources, have generated large, complex, high-dimensional datasets used to …
Stacking-based visualization of trajectory attribute data
Visualizing trajectory attribute data is challenging because it involves showing the
trajectories in their spatio-temporal context as well as the attribute values associated with the …
trajectories in their spatio-temporal context as well as the attribute values associated with the …
Scatterplots: Tasks, data, and designs
Traditional scatterplots fail to scale as the complexity and amount of data increases. In
response, there exist many design options that modify or expand the traditional scatterplot …
response, there exist many design options that modify or expand the traditional scatterplot …
Splatterplots: Overcoming overdraw in scatter plots
We introduce Splatterplots, a novel presentation of scattered data that enables visualizations
that scale beyond standard scatter plots. Traditional scatter plots suffer from overdraw …
that scale beyond standard scatter plots. Traditional scatter plots suffer from overdraw …
Atom: A Grammar for Unit Visualizations
Unit visualizations are a family of visualizations where every data item is represented by a
unique visual mark-a visual unit-during visual encoding. For certain datasets and tasks, unit …
unique visual mark-a visual unit-during visual encoding. For certain datasets and tasks, unit …
Visualizing big data outliers through distributed aggregation
Visualizing outliers in massive datasets requires statistical pre-processing in order to reduce
the scale of the problem to a size amenable to rendering systems like D3, Plotly or analytic …
the scale of the problem to a size amenable to rendering systems like D3, Plotly or analytic …
Visual abstraction and exploration of multi-class scatterplots
Scatterplots are widely used to visualize scatter dataset for exploring outliers, clusters, local
trends, and correlations. Depicting multi-class scattered points within a single scatterplot …
trends, and correlations. Depicting multi-class scattered points within a single scatterplot …
Explaining three-dimensional dimensionality reduction plots
Understanding three-dimensional projections created by dimensionality reduction from high-
variate datasets is very challenging. In particular, classical three-dimensional scatterplots …
variate datasets is very challenging. In particular, classical three-dimensional scatterplots …