Public
Edited
Jun 7, 2023
burrito = ["chicken", 4.2, false, "avocado", 11.99, "beans"]
// Access the fourth element in burrito:
burrito[3]
// Find the length of the burrito array:
burrito.length
// Find the index (position) of the value 4.2 in burrito:
burrito.indexOf(4.2)
droids = [
{name: "C-3PO", color: "gold", height: 167},
{name: "R2D2", color: "white/blue", height: 96},
{name: "BB-8", color: "white/orange", height: 26.4}
]
// Find the length of the droids array:
droids.length
// Find the value of "height" for the third element in droids (BB-8's height):
droids[2]["height"]
// alternately
droids[2].height
// Find the keys of the first element in the droids array:
Object.keys(droids[0])
restaurantBills = [{bill: 49.51, tipPercent: 0.15},
{bill: 112.40, tipPercent: 0.22},
{bill: 68.25, tipPercent: 0.18},
{bill: 27.37, tipPercent: 0.12},
{bill: 50.18, tipPercent: 0.17}]
// Calculate tips for each bill here:
restaurantBills.map(d=> d.bill * d.tipPercent)
// returns same result by putting d within ()
restaurantBills.map((d) => d.bill * d.tipPercent)
nyc_water = FileAttachment("nyc_water.csv").csv({typed: true})
nyc_water
Type Table, then Shift-Enter. Ctrl-space for more options.
// Access the third element in the array:
nyc_water[2]
// Access Consumption (HCF) from the ninth element in the array:
nyc_water[8]['Consumption (HCF)']
// Access Location from the 100th element in the array:
nyc_water[99].Location
// Use Array.map and an arrow array to return and array with the ratio of Current Charges to Consumption (HCF):
nyc_water.map(d => d['Current Charges'] / d['Consumption (HCF)'])
nyc_water
X
Consumption (HCF)
Y
—
Current Charges
Color
Consumption (HCF)
Size
—
Facet X
—
Facet Y
—
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.
// Create and customize a scatterplot of Consumption (HCF) and Current Charges from the nyc_water data:
Plot.plot({
x: {type: "log"},
y: {type: "log"},
marks: [
Plot.dot(nyc_water, {x: 'Consumption (HCF)', y: "Current Charges"})
]
})
import { showMe } from "@observablehq/show-me"
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.
