Public
Edited
Jun 1
import {vl} from '@vega/vega-lite-api-v5'
import {printTable} from "@uwdata/data-utilities"
census = FileAttachment("census2000-1.csv").csv()
vl.markLine({ point: true }) // I added point and change the box chart to line chart
.data(census)
.encode(
vl.x().fieldN("Year"),
vl.y().fieldQ("People")
)
.title("U.S. Population Growth (Line Chart View)")
.width(400)
.height(300)
.render()
vl.markBar()
.data(census)
.encode(
vl.x().fieldN("Year"),
vl.y().fieldQ("People"),
vl.color().fieldN("Year") // I added the color
)
.title("U.S. Population by Year (Colored Bars)")
.width(400)
.height(300)
.render()
vl.markBar()
.data(census)
.encode(
vl.x().fieldN("Year"),
vl.y().fieldQ("People"),
vl.tooltip([{ field: "Year" }, { field: "People" }]) // I add the tooltips to the bar chart
)
.title("U.S. Population with Tooltip Interaction")
.width(400)
.height(300)
.render()
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.
