pvis
v0.2.0
Published
Progressive and portable parallel processing pipelines.
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PV: Portable Progressive Parallel Processing Pipelines
PV is a JavaScript toolkit for progressive parallel processing and visualization. PV leverages P4 for parallel data processing and rendering, and provides an intuitive API for implementing progressive workflows.
Demo
This demo shows how PV can support progressive visualizations with multiple views and user interactions.
Example
let example = pv(config)
.input({
source: 'data.csv',
method: 'file',
batchSize: 500000,
type: 'text/csv',
delimiter: ','
})
.batch([
{
match: {
MotherAge: [18, 50],
FatherAge: [18, 70]
},
aggregate: {
$group: ['FatherAge', 'MotherAge'],
$collect: {
Babies: {$count: '*'}
}
}
}
])
.progress([
{
visualize: {
mark: 'rect',
x: 'MotherAge',
y: 'FatherAge',
color: 'Babies'
}
])
.execute({mode: ‘automatic’})
Development
The development of PV is still in early stage. More development and software engineering efforts will be given to make PV more usefult for building progressive visualization and visual analytics application. Please comment, discuss, or request new features using the PV GitHub issue page.
Reference Paper
Jianping Kelvin Li and Kwan-Liu Ma. "P5: Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization". IEEE Transactions on Visualization and Computer Graphics, 2019. DOI 10.1109/TVCG.2019.2934537.