Senior Data Producer for CBC/Radio-Canada. Computational journalism. Data analysis and data visualizations.
sda = import("https://esm.sh/jsr/@nshiab/simple-data-analysis@3.13.9/web")
sdb = new sda.SimpleWebDB().start()
provinces = {
// We create a new table.
const provinces = sdb.newTable("provinces");
// We fetch the provinces' boundaries.
await provinces.fetchGeoData(
"https://raw.githubusercontent.com/nshiab/simple-data-analysis/main/test/geodata/files/CanadianProvincesAndTerritories.json"
);
// We return the table.
return provinces;
}
provincesGeoData = await provinces.getGeoData()
fires = {
// We create a new table.
const fires = sdb.newTable("fires");
// We fetch the wildfires data.
await fires.fetchData(
"https://raw.githubusercontent.com/nshiab/simple-data-analysis/main/test/geodata/files/firesCanada2023.csv"
);
// We create point geometries from the lat and lon columns
// and we store the points in the new column geom.
await fires.points("lat", "lon", "geom");
return fires;
}
firesGeoData = await fires.getGeoData()
firesInsideProvinces = {
// We match fires inside provinces
// and we output the results in a new table.
// By default, joinGeo will automatically look
// for columns storing geometries in the tables,
// do a left join, and put the results
// in the left table.
const firesInsideProvinces = await fires.joinGeo(provinces, "inside", {
outputTable: "firesInsideProvinces"
});
// We remove fires that could not be matched
await firesInsideProvinces.removeMissing();
// We summarize to count the number of fires
// and sum up the area burnt in each province.
await firesInsideProvinces.summarize({
values: "hectares",
categories: "nameEnglish",
summaries: ["count", "sum"],
decimals: 0
});
// We rename columns.
await firesInsideProvinces.renameColumns({
count: "nbFires",
sum: "burntArea"
});
// We want the province with
// the greatest burnt area first.
await firesInsideProvinces.sort({ burntArea: "desc" });
return firesInsideProvinces;
}
Inputs.table(await firesInsideProvinces.getData())
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