Module guidelinesWeek 1 | ObservableHQ and Plot essentialsWeek 2 | Drawing with dataWeek 3 | Let's talk about colorWeek 4 | Make it interactiveExercise 1: Load the data and chart it with PlotExercise 2: Data questions, visual answersExercise 4: Look ma! It's interactiveFinal exercise: GuidelinesFinal exercise: TemplateData playgroundGrades (so far)
Exercise 3: UnPleasantville your charts!
Plot.plot({
width: width,
height: 420,
marginRight: 120,
marks: [
Plot.lineY(pizza, Plot.binX({y: 'sum'}, {
x: "order_date",
y: "orders",
z: "name",
interval: d3.utcWeek,
tip: true
})),
]
})
Plot.plot({
width: 720,
height: 300,
marginLeft: 90,
facet: {
data: pizza,
y: "pizza_name",
x: "size",
},
color: {
range:["black"]
},
marks: [
Plot.tickX(
pizza,
Plot.binX(
{
fill: "sum",
},
{
x: "order_date",
interval: d3.utcWeek
}
)
),
Plot.frame({ stroke: "#aaa", strokeWidth: 0.5 })
]
})
Plot.plot({
width: 720,
height: 420,
facet: {
data: pizza,
y: "pizza_name",
x: "size",
marginRight: 90,
label: ""
},
marks: [
Plot.areaY(pizza, Plot.binX({y: 'sum'}, {
x: "order_date",
y: "orders",
interval: d3.utcWeek,
tip: true
})),
Plot.ruleY([0])
],
y: {
tickFormat: d => ""
}
})
pizza
Type Table, then Shift-Enter. Ctrl-space for more options.
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.
