Learning Julia

Scatter plots

We have previously seen what scatter plots are when we were working with the PyPlot library. Here too, we will see how to create a scatter plot in Vega using a function named scatterplot.

Here is a simple example of a scatter plot:

using Vega, Distributions

d1 = MultivariateNormal([0.0, 0.0], [1.0 0.9; 0.9 1.0])
d2 = MultivariateNormal([10.0, 10.0], [4.0 0.5; 0.5 4.0])
points = vcat(rand(d1, 1000)', rand(d2, 1000)')

x = points[:, 1]
y = points[:, 2]
group = vcat(ones(Int, 1000), ones(Int, 1000) + 1)

scatterplot(x = x, y = y, group = group)

With this, we will wrap up our discussion on one of the most amazing data visualizing libraries ...