Religious history, digital history, and nineteenth-century US history.
course = "HIST 390" // A string
year = 2021 // A number
message = `Hello, ${course} students from ${year}` // Another string, which uses earlier variables
courseObject = ({
title: "The Digital Past",
catalog: "HIST 390",
instructor: "Lincoln Mullen",
students: ["A", "B", "C", "D", "E"] // An array of students
})
courseObject.catalog
`${courseObject.title} (${courseObject.catalog})`
bookPrices = [12.40, 19.99, 15.00, 45.00, 9.00]
function sum(x) {
let total = 0;
for (let i = 0; i < x.length; i++) {
total += x[i];
}
return total;
}
sum(bookPrices)
function average(x) {
return sum(x) / x.length;
}
average(bookPrices)
function geocode(address, city, state, zip) {
let place = encodeURI(`${address}, ${city}, ${state} ${zip}`);
// let url = `https://geocoding.geo.census.gov/geocoder/locations/onelineaddress?address=${place}&benchmark=2020&format=json`;
let url = `https://geocode.xyz/${place}?json=1&auth=408344306725209919059x89261`;
let response = d3.json(url);
return response;
}
location = geocode("3211 Providence Drive", "Anchorage", "AK", "99508")
gmuLocation = FileAttachment("location.json").json()
function getStation(location) {
let lat = location.latt;
let lon = location.longt;
let station = d3.json(`https://api.weather.gov/points/${lat},${lon}`);
return station;
}
station = getStation(gmuLocation)
gmuStation = FileAttachment("station.json").json()
getForecast = function(station) {
let forecast = d3.json(station.properties.forecast);
return forecast;
}
forecast = getForecast(gmuStation)
gmuForecast = FileAttachment("forecast.json").json()
d3.json("https://api.weather.gov/gridpoints/OKX/33,37/forecast")
gmuForecast.properties.periods[0]
md`### Weather in ${gmuLocation.standard.city}`
weatherChart
md`## Imports`
d3 = require("d3@v6")
import { weatherChart } from "@kerryrodden/simple-custom-weather-chart-in-d3"
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.
