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hvega: Create Vega-Lite visualizations in Haskell.

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This is an almost-direct port of elm-vega (http://package.elm-lang.org/packages/gicentre/elm-vega/2.2.1) to Haskell.

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Properties

Versions 0.1.0.0, 0.1.0.1, 0.1.0.3, 0.2.0.0, 0.2.1.0, 0.2.1.0, 0.3.0.0, 0.3.0.1, 0.4.0.0, 0.4.1.0, 0.4.1.1, 0.4.1.2, 0.5.0.0, 0.6.0.0, 0.7.0.0, 0.7.0.1, 0.8.0.0, 0.9.0.0, 0.9.0.1, 0.9.1.0, 0.10.0.0, 0.11.0.0, 0.11.0.1, 0.12.0.0, 0.12.0.1, 0.12.0.2, 0.12.0.3, 0.12.0.4, 0.12.0.5, 0.12.0.7
Change log CHANGELOG.md
Dependencies aeson (>=0.11 && <1.5), base (>=4.7 && <5), text (>=1.2 && <1.3), vector (>=0.11 && <0.13) [details]
License BSD-3-Clause
Copyright 2018-2019 Douglas Burke
Author Douglas Burke
Maintainer dburke.gw@gmail.com
Category Graphics
Home page https://github.com/DougBurke/hvega
Bug tracker https://github.com/DougBurke/hvega/issues
Source repo head: git clone https://github.com/DougBurke/hvega
Uploaded by DouglasBurke at 2019-06-23T02:52:09Z

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Readme for hvega-0.2.1.0

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hvega

Support the creation of Vega-Lite visualizations in Haskell. This code is released under the BSD3 license.

It is an almost-direct copy of version 2.2.1 of the Elm Vega library, which is released under a BSD3 license by Jo Wood of the giCentre at the City University of London.

Example

let cars =  dataFromUrl "https://vega.github.io/vega-datasets/data/cars.json" []

    enc = encoding
            . position X [ PName "Horsepower", PmType Quantitative ]
            . position Y [ PName "Miles_per_Gallon", PmType Quantitative ]
            . color [ MName "Origin", MmType Nominal ]

    bkg = background "rgba(0, 0, 0, 0.05)"

in toVegaLite [ bkg, cars, mark Circle [], enc [] ]

When viewed with a Vega-Lite aware viewer, the resultant plot is

Simple scatterplot

Documentation

The Elm Vega documentation can be used as a guide to using this module. The Vega-Lite Example Gallery has been converted to an IHaskell notebook Uunfortunately the plots created by VegaEmbed do not appear in the notebook when viewed with either GitHub's viewer or ipynb viewer, but things seem much better when using Jupyter Lab (rather than notebook) to create the notebooks (since Vega is natively supported in this environment). The notebooks have been re-created using Jupyter Lab (thanks to Tweag I/O's JupyterWith environment), which should make the plots appear on GitHub (you may need to reload the notebooks as I find they don't display on the first try).

The notebooks directory contains a poorly-curated set of examples and experiments with hvega.

Differences to Elm Vega

The main changes to version 2.2.1 of Elm Vega are: