md`# topic2_viewcount`
d3 = require("d3@5", "d3-textwrap")
graphData = FileAttachment("topic2_viewcount@6.json").json()
allNodesNames = graphData.nodes.map(function(d){return d.tag});
eachnode= graphData.nodes
margin = ({top: 20, bottom: 20, left: 30, right: 30});
height = 450 - margin.top - margin.bottom;
width = 1500
xScale_vids_one = d3.scalePoint()
.domain(videonames_one)
.range([0, width])
one_vids = graphData.nodes[0].top_vids_conspi
videonames_one = one_vids.map(function(d){return d.title});
xScale_vids_two = d3.scalePoint()
.domain(videonames_two)
.range([0, width])
two_vids = graphData.nodes[1].top_vids_conspi
videonames_two = two_vids.map(function(d){return d.title});
videonames_three = three_vids.map(function(d){return d.title});
three_vids = graphData.nodes[2].top_vids_conspi
xScale_vids_three = d3.scalePoint()
.domain(videonames_three)
.range([0, width])
videonames_four = four_vids.map(function(d){return d.title});
four_vids = graphData.nodes[3].top_vids_conspi
xScale_vids_four = d3.scalePoint()
.domain(videonames_four)
.range([0, width])
videonames_five = five_vids.map(function(d){return d.title});
five_vids = graphData.nodes[4].top_vids_conspi
xScale_vids_five = d3.scalePoint()
.domain(videonames_five)
.range([0, width])
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.