This is a d3 chart representing multiple time series paths, where missing values are breaking the paths.
You can view a rendered version of this gist at bl.ocks.org.
This is a d3 chart representing multiple time series paths, where missing values are breaking the paths.
You can view a rendered version of this gist at bl.ocks.org.
Tree visualization of density decomposition.
You can view a rendered version of this gist at bl.ocks.org.
The function requires multiple trees as entries of an array. For each node, the data contains the corresponding parent. Root nodes have a parent of null (or an empty array?!). "Flat" data first gets transformed to hierarchical graph data, where each node has an array of all of its children.
This gist shows how a given copula vine decomposition in parent referencing notation could be visualized as array of trees.
First attempt to visualize possible conditional probability integral transforms through trees.
This gist visualizes absolute log GDP values together with growth rates. The data is from The World Bank, and it is stored in a private gist 274e242ead103b56be3e.
The chart shows a multi-line plot that can be collapsed into a single aggregated line.
Mouse interaction is based on invisible thick lines, as the dataset changes through collapsing / dismantling and hence voronoi maps would need to be re-calculated.
You can view a rendered version of this gist at bl.ocks.org.
Visualization of GDP evolution of several countries.
You can view a rendered version of this gist at bl.ocks.org.
The example shows GDP data with breaks for missing values for all countries. For better interaction, the chart is overlaid by an invisible voronoi map, such that you need not necessarily be on the path line itself to highlight it, but only in a close vicinity to some of the data points.
The plot shows multiple time series with missing values, where missing values are visualized by line breaks.
You can view a rendered version of this gist at bl.ocks.org.
The plot shows multiple time series with missing values, where missing values should not cause line breaks.
You can view a rendered version of this gist at bl.ocks.org.
The plot shows a single time series with missing values, where missing values do not cause line breaks.
You can view a rendered version of this gist at bl.ocks.org.