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https://github.com/queryverse/VegaDatasets.jl

Julia package for loading the standard Vega data sets
https://github.com/queryverse/VegaDatasets.jl

julia queryverse

Last synced: about 2 months ago
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Julia package for loading the standard Vega data sets

Host: GitHub
URL: https://github.com/queryverse/VegaDatasets.jl
Owner: queryverse
License: other
Created: 2018-03-03T00:43:59.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2022-12-11T00:36:24.000Z (over 1 year ago)
Last Synced: 2024-05-04T00:04:27.597Z (about 2 months ago)
Topics: julia, queryverse
Language: Julia
Homepage:
Size: 6.93 MB
Stars: 20
Watchers: 4
Forks: 7
Open Issues: 5
Metadata Files:
- Readme: README.md
- License: LICENSE.md

Lists

awesome-vega - VegaDatasets.jl - Julia (Vega Datasets). (Wrappers / Papers)

README

        # VegaDatasets

[![Project Status: Active - The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active)

[![Build Status](https://travis-ci.org/queryverse/VegaDatasets.jl.svg?branch=master)](https://travis-ci.org/queryverse/VegaDatasets.jl)

[![Build status](https://ci.appveyor.com/api/projects/status/ad1mcex5tjbe160r/branch/master?svg=true)](https://ci.appveyor.com/project/queryverse/vegadatasets-jl/branch/master)

[![codecov](https://codecov.io/gh/queryverse/VegaDatasets.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/queryverse/VegaDatasets.jl)

## Overview

This package provides an easy way to load the datasets in [vega-datasets](https://github.com/vega/vega-datasets) from julia.

## Installation

You can install this package from the julia REPL with the following command:

````julia

Pkg.add("VegaDatasets")

````

## Getting started

The package only exports one function that takes the name of a dataset and returns a ``VegaDataset`` with that data:

````julia

using VegaDatasets

vg = dataset("iris")

````

``VegaDataset`` implements the [iterable tables](https://github.com/queryverse/IterableTables.jl) interface, so it can be passed to any sink that accepts iterable tables.

For example, to convert a dataset into a ``DataFrame``, you can write:

````julia

using VegaDatasets, DataFrames

df = DataFrame(dataset("iris"))

````

You can pipe a ``VegaDataset`` directly into a [VegaLite.jl](https://github.com/fredo-dedup/VegaLite.jl) plot:

````julia

using VegaLite, VegaDatasets

dataset("iris") |> @vlplot(:point, x=:sepalLength, y=:petalWidth)

````

### Non-tabular datasets

The following datasets are not tabular in nature:

* earthquakes

* graticule

* londonBoroughs

* londonTubeLines

* miserables

* us_10m

* world_110m

In those cases an object is returned that can be lowered to JSON, or one can access the `.path` property for such an object to get a path to the location of the dataset.