chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("g")
.selectAll("circle")
.data(data)
.join("circle")
.filter(d => d.body_mass_g)
.attr("cx", d => x(d.flipper_length_mm))
.attr("cy", d => y(d.body_mass_g))
.attr("r", 4);
return svg.node();
}
data = FileAttachment("penguins.csv").csv({typed: true})
height = 400
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.flipper_length_mm)).nice()
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(d3.extent(data, d => d.body_mass_g)).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
margin = ({top: 25, right: 20, bottom: 35, left: 40})
internmapToArray(groupByMonth)
internmapToArray(groupByMonth)
function internmapToArray(myMap){
console.log('myMap', myMap)
const arr=[]
for (const [key, value] of myMap){
if(value){
for (const [k, v] of value){
arr.push({month: k, "speech count": v})
}
}
}
return arr
}
groupByMonth = d3.rollup(speechData, v=>v.length, d=> new Date(d.Date).getFullYear(), d=> new Date(d.Date).getFullYear() + "-" + (new Date(d.Date).getMonth()+1)+'-1' )
async function sheet_data_fn (new_url){
let sheet_data =[];
const spreadsheet = await d3.tsv(new_url)
.then(data => data.forEach(d => {
// d[''] = months[+ d.DATE.split("/")[0] -1 ]
sheet_data.push(d);
} )); // d3.tsv returns a Promise
return sheet_data;
}
import {select, color} from "@jashkenas/inputs"
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.
