Professor of Computer Science at Old Dominion University
md`*Replace this cell with your name and CS 725 or CS 825 as appropriate*`
covid = d3.csvParse(await FileAttachment("VDH-COVID-19-PublicUseDataset-Cases.csv").text(), function(d) {
return {
date: d3.timeParse("%x")(d["Report Date"]),
fips: d.FIPS,
locality: d.Locality,
district: d["VDH Health District"],
cases: +d["Total Cases"],
hospitalizations: +d.Hospitalizations,
deaths: +d.Deaths
};
});
covid.sort(function (a, b) {
return a.date - b.date;
});
printTable(covid.slice(0,5))
printTable(covid.slice(-5))
hr_districts = new Set(["Western Tidewater", "Chesapeake", "Virginia Beach", "Norfolk", "Portsmouth", "Hampton", "Peninsula"])
hr_covid = covid.filter(d => hr_districts.has(d.district))
last_date = covid[covid.length-1].date
covid_totals = covid.filter(d => d.date >= last_date)
hr_totals = covid_totals.filter(d => hr_districts.has(d.district))
md`*Replace this cell with your code. Make sure the code is 'pinned' so that it appears by default.*`
md`*Replace this cell with your explanation. 'Unpin' this cell so that the Markdown source isn't shown.*`
md`*For the remaining charts, use the same format as for Chart 1 to show and explain your code.*`
d3 = require("d3@6")
import { vl } from "@vega/vega-lite-api"
import {printTable} from '@uwdata/data-utilities'
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
