Change in online shopping behaviors
yMargin = 40
height = 400
xMargin = 120
d3 = require("d3@7")
TimeSpentFile = FileAttachment("time_spent@2.csv")
TimeSpentText = TimeSpentFile.text()
TimeSpentData = d3
.csvParse(TimeSpentText, d3.autoType)
.slice(1)
.map((d) => ({ ...d, difference: d[2020] - d[2019] }))
xScale = d3.scaleLinear()
.domain([0, TimeSpentData.length])
.range([0, chartWidth])
yScale = d3
.scaleLinear()
.domain([0, d3.max(TimeSpentData)])
.range([0, chartHeight])
chartWidth = 800;
{
const data = { 20: 100, state: 14, il: 50, ny: 20 };
const state = "ny";
return data[20];
}
chartHeight = 500
Plot = {
const height = 500;
const margin = 20;
const svg = d3.create("svg").attr("width", width).attr("height", height);
svg
.append("rect")
.attr("width", width)
.attr("height", width)
.attr("fill", "#aaaaaa");
const xScale = d3
.scaleBand()
.domain(TimeSpentData.map((d) => d.Activity))
.range([margin, width - margin * 2])
.paddingInner(0.2);
const yScale = d3
.scaleLinear()
.domain(d3.extent(TimeSpentData, (d) => d.difference))
.range([0, height - margin * 2]);
svg
.selectAll(".bars")
.data(TimeSpentData)
.enter()
.append("rect")
.attr("x", (d) => xScale(d.Activity))
.attr("y", (d) => height - margin - yScale(d.difference))
.attr("width", xScale.bandwidth)
.attr("height", (d) => yScale(d.difference))
.attr("fill", "blue");
// svg
// .append("text")
// .attr("y", 0)
// .attr("x", i * rowHeight + margin + rowHeight)
// .attr("font-size", 8)
// .text(TimeSpentData[i].name);
return svg.node();
}
// map = {
// //create SVG artboard
// const svg = d3.create("svg").attr("width", width).attr("height", height);
// //determine which two data keys from the census we should show
// const visualizationKeys =
// vizTopic == "beforecovid vs aftercovid"
// ? ["", ""]
// : ["", ""];
Inputs.table(TimeSpentData)
TimeSpentData.map(d=>d.Activity)
d3.range(margin,chartHeight-margin,(chartHeight - (margin*2))/(TimeSpentData.length-1)).concat(chartHeight-margin)
margin=30
dbYScale = d3.scaleOrdinal()
.domain(TimeSpentData.map(d=>d.Activity))
.range(d3.range(margin,chartHeight-margin,chartHeight/TimeSpentData.length))
dbXScale = d3.scaleLinear()
.domain([0,10])
.range([margin,width-margin])
Plot2 = {
const height = 500;
const margin = 20;
const svg = d3.create("svg").attr("width", width).attr("height", height);
svg
.append("rect")
.attr("width", width)
.attr("height", width)
.attr("fill", "#aaaaaa");
svg
.selectAll(".dots2019")
.data(TimeSpentData)
.enter()
.append("circle")
.attr("cx", (d) => dbXScale(d[2019]))
.attr("cy", (d) => dbYScale(d.Activity))
.attr("r", 3)
.attr('class','dots2019')
.attr("fill", "blue")
}
Plot3 = {
const height = 500;
const margin = 20;
const svg = d3.create("svg").attr("width", width).attr("height", height);
svg.append('defs').append('marker').attr('id','arrowhead').attr('markerWidth',10).attr('markerHeight',7).attr('refX',10).attr('refY',3.5).attr('orient','auto').append('polygon').attr('points','0 0, 10 3.5, 0 7')
svg
.append("rect")
.attr("width", width)
.attr("height", width)
.attr("fill", "#aaaaaa");
svg
.selectAll(".lines")
.data(TimeSpentData)
.enter()
.append("line")
.attr("x1", (d) => dbXScale(d[2019]))
.attr("x2", (d) => dbXScale(d[2019]))
.attr("y1", (d) => dbYScale(d.Activity))
.attr("y2", (d) => dbYScale(d.Activity))
.attr('class','lines')
.attr('stroke-width',3)
.attr("stroke", "purple")
.attr("marker-end", "url(#endarrow)")
;
svg
.selectAll(".dots2020")
.data(TimeSpentData)
.enter()
.append("circle")
.attr("cx", (d) => dbXScale(d[2019]))
.attr("cy", (d) => dbYScale(d.Activity))
.attr('class','dots2020')
.attr("r", 3)
.attr("fill", "red");
svg
.selectAll(".dots2019")
.data(TimeSpentData)
.enter()
.append("circle")
.attr("cx", (d) => dbXScale(d[2019]))
.attr("cy", (d) => dbYScale(d.Activity))
.attr("r", 3)
.attr('class','dots2019')
.attr("fill", "blue")
svg.append('rect')
.attr('x',width - 8*margin)
.attr('y',height/2)
.attr('width',100)
.attr('height',20)
.attr('fill','coral')
.on('click', (e,d) => {
svg
.selectAll(".dots2020")
.data(TimeSpentData)
.transition()
.duration(2000)
.attr("r", 6)
.transition()
.duration(2000)
.attr("cx", (d) => dbXScale(d[2020]))
.transition()
.duration(2000)
.attr("r", 3)
svg
.selectAll(".lines")
.data(TimeSpentData)
.transition()
.delay(2000)
.duration(2000)
.attr("x2", (d) => dbXScale(d[2020]))
// .transition()
// .duration(2000)
//.attr("marker-end", "url(#arrowhead)")
})
// svg
// .selectAll(".lines")
// .data(TimeSpentData)
// .enter()
// .append("line")
// .attr("x1", (d) => dbXScale(d[2019]))
// .attr("x2", (d) => dbXScale(d[2020]))
// .attr("y1", (d) => dbYScale(d.Activity))
// .attr("y2", (d) => dbYScale(d.Activity))
// .attr('class','dots2020')
// .attr("stroke", "purple");
// svg
// .append("text")
// .attr("y", 0)
// .attr("x", i * rowHeight + margin + rowHeight)
// .attr("font-size", 8)
// .text(TimeSpentData[i].name);
return svg.node();
}
//http://thenewcode.com/1068/Making-Arrows-in-SVG
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.