Vega.jl

A Julia package for generating visualizations in Vega

Getting Started
Visualization Primitives
Creating A Visualization From Scratch

Pre-defined Visualizations

Area Plot
Aster Plot
Bar Plot
Box Plot
Bubble Chart
Choropleth
Dot Plot
Grouped Bar
Heatmap
Horizon
Histogram
Joint Plot
Line Plot
Pie/Donut Chart
Population Chart
Punchcard
Ribbon Plot
Rug Plot
Scatter Plot
Stem-and-Leaf Plot
Stream Plot
Waterfall
Word Cloud

Interactive Visualization

Interact.jl and Vega in Jupyter Notebooks
Creating Interactive Sites Using Escher and Vega

Visualization Mutating Functions

colorscheme!
General Visualization Properties
hline! / vline!
hover!
jitter!
legend!
stroke!
text!
title!
xlab! / ylab!
xlim! / ylim!

View the Project on GitHubjohnmyleswhite/Vega.jl

Wordcloud

Function Keywords:

x::AbstractVector
wordAngles::AbstractVector = [-45, 0, 45]
minThreshold::Int = 0

Wordcloud

corpus = [
"Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.",
"Julia programs are organized around multiple dispatch; by defining functions and overloading them for different combinations of argument types, which can also be user-defined. For a more in-depth discussion of the rationale and advantages of Julia over other systems, see the following highlights or read the introduction in the online manual."
]

wc = wordcloud(x = corpus)
colorscheme!(wc, palette = ("Spectral", 11))

Wordcloud With Custom Angles

wordcloud(x = corpus, wordAngles = [0, 90])

Wordcloud With Minimum Word Count Threshold

wordcloud(x = corpus, minThreshold = 1)