Hi Leonard, Here is how I would translate that example:
using PlotlyJS, DataFrames, CSV
nm = tempname()
url = "https://raw.githubusercontent.com/plotly/datasets/c34aaa0b1b3cddad335173cb7bc0181897201ee6/2011_february_aa_flight_paths.csv"
download(url, nm)
cord = CSV.read(nm,DataFrame)
M = maximum(cord[:,:cnt])
trace_data = [ scattergeo(;locationmode="USA-states",
lon = [cord[i,:start_lon], cord[i,:end_lon]],
lat = [cord[i,:start_lat], cord[i,:end_lat]],
mode = "lines",
line_width = 2,
line_color = "red",
opacity = cord[i,:cnt]/M
) for i in 1:nrow(cord)];
geo = attr(scope="north america",
projection_type="azimuthal equal area",
showland=true,
landcolor="rgb(243,243,243)",
countrycolor="rgb(204,204,204)",
subunitwidth=1,
countrywidth=1,
)
layout = Layout(;title="Feb. 2011 American Airline flight paths", showlegend=false, geo=geo)
plot(trace_data, layout)