covid19.jl

import HTTP, CSV
using Plots, DataFrames
df = CSV.read(IOBuffer(String(HTTP.get("https://covid.ourworldindata.org/data/total_cases.csv").body)), normalizenames=true)

function doit(df, countries, alignment)
    plot(legend=:topleft)
    for country in countries
        c = df[:, Symbol(country)]
        plot!(df.date .- df.date[findfirst(coalesce.(c,0) .>= alignment)], c, label=string(country), yaxis=:log)
    end
    xlabel!("Days after $alignment cases")
    xlims!(-1, last(xlims()))
    ylims!(alignment*.9, last(ylims()))
end

doit(df, [:Italy, :United_States, :United_Kingdom, :China], 100)

This is great, thanks for sharing! Here is the plot as of 18 March 2020 for those who just want to see it

I have a few questions/comments:

• why import HTTP, CSV and not using HTTP, CSV?
• The alignment (on alignment cases) cannot be perfect because the data is daily. What about "force" aligning it by linearly interpolating the data to every minute first? [EDIT: Oh actually it's just that the China data starts at 278 cases...]
• I want to play with this so I forked it and want to make sure it's OK with you... Is it? 🙂

Absolutely. Consider it MIT licensed. import instead of using because those packages largely rely on API style like CSV.read anyhow and HTTP exports a stack that conflicts with Dataframes (I was playing with the JHU dataset, too, which requires some munging).