A Julia package for generating visualizations in Vega
Getting Started
Visualization Primitives
Creating A Visualization From Scratch
Arguments:
v::VegaVisualization
opacity::Number = 1
color::AbstractStringThis function mutates :VegaVisualization, changing the opacity of a mark when the mouse cursor moves over it. Note that if you use both opacity and color at the same time, the opacity will apply to the color value you specify.
score = [59, 24, 98, 60 ,74,70,42,77,88,60,65,71,88,83]
id = ["FIS", "MAR","AO","NP","CS","CP","TR","LIV","ECO","ICO","LSP","CW","HAB","SPP"]
weight = [0.5, 0.5, 1,1,1,1,1,0.5,0.5,0.5,0.5,1,0.5,0.5]
v = asterplot(x = id, y = score, weight = weight, holesize = 75)
colorscheme!(v, palette = ["#9E0041", "#C32F4B", "#E1514B", "#F47245", "#FB9F59", "#FEC574", "#FAE38C", "#EAF195",
"#C7E89E", "#9CD6A4", "#6CC4A4", "#4D9DB4", "#4776B4", "#5E4EA1"])
hover!(v, opacity = 0.5)category = ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'C', 'C', 'C', 'C']
position = [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3]
value = [0.1, 0.6, 0.9, 0.4, 0.7, 0.2, 1.1, 0.8, 0.6, 0.2, 0.1, 0.7]
a = groupedbar(x = category, y = value, position = position)
hover!(a, color = "red")