Last active
October 21, 2018 17:05
-
-
Save stianSjoli/f457e1d2e6d05b084db51d6150a44992 to your computer and use it in GitHub Desktop.
Scatterplot av humane-gener mot totalt antall basepar for de 23 kromosomene. Dataene er hentet fra første tabell i https://en.wikipedia.org/wiki/Chromosome.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width"> | |
| <script src="https://d3js.org/d3.v5.min.js"></script> | |
| </head> | |
| <body> | |
| <script id="jsbin-source-html" type="text/html"><!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width"> | |
| <script src="https://d3js.org/d3.v5.min.js"><\/script> | |
| </head> | |
| <body> | |
| </body> | |
| <script> | |
| var data= [ | |
| {chromosome:1,genes:2000,totalBasePairs:247199719}, | |
| {chromosome:2,genes:1300,totalBasePairs:242751149}, | |
| {chromosome:3,genes:1000,totalBasePairs:199446827}, | |
| {chromosome:4,genes:1000,totalBasePairs:191263063}, | |
| {chromosome:5,genes:900,totalBasePairs:180837866}, | |
| {chromosome:6,genes:1000,totalBasePairs:170896993}, | |
| {chromosome:7,genes:900,totalBasePairs:158821424}, | |
| {chromosome:8,genes:700,totalBasePairs:146274826}, | |
| {chromosome:9,genes:800,totalBasePairs:140442298}, | |
| {chromosome:10,genes:700,totalBasePairs:135374737}, | |
| {chromosome:11,genes:1300,totalBasePairs:134452384}, | |
| {chromosome:12,genes:1100,totalBasePairs:132289534}, | |
| {chromosome:13,genes:300,totalBasePairs:114127980}, | |
| {chromosome:14,genes:800,totalBasePairs:106360585}, | |
| {chromosome:15,genes:600,totalBasePairs:100338915}, | |
| {chromosome:16,genes:800,totalBasePairs:88822254}, | |
| {chromosome:17,genes:1200,totalBasePairs:78654742}, | |
| {chromosome:18,genes:200,totalBasePairs:76117153}, | |
| {chromosome:19,genes:1500,totalBasePairs:63806651}, | |
| {chromosome:20,genes:500, totalBasePairs:62435965}, | |
| {chromosome:21,genes:200,totalBasePairs:46944323}, | |
| {chromosome:22,genes:500,totalBasePairs:49528953}, | |
| {chromosome:"X", genes: 800, totalBasePairs:154913754}, | |
| {chromosome:"Y", genes:50, totalBasePairs:57741652}] | |
| function getChromosome(d){ | |
| return d.chromosome; | |
| } | |
| function getGeneCount(d){ | |
| return d.genes; | |
| } | |
| function getTotalBasePairs(d){ | |
| return d.totalBasePairs / 1000000; | |
| } | |
| var height = 500; | |
| var width = 500; | |
| var padding = 100; | |
| var svg = d3.select("body") | |
| .append("svg") | |
| .attr("height", height) | |
| .attr("width", width) | |
| var xScale = d3.scaleLinear() | |
| .domain([d3.min(data, getTotalBasePairs), d3.max(data,getTotalBasePairs)]) | |
| .nice() | |
| .range([0, width - padding]); | |
| var yScale = d3.scaleLinear() | |
| .domain([d3.min(data, getGeneCount), d3.max(data,getGeneCount)+200]) | |
| .nice() | |
| .range([height-padding, padding]); | |
| var xAxis = d3.axisBottom() | |
| .scale(xScale); | |
| var yAxis = d3.axisLeft() | |
| .scale(yScale) | |
| .tickFormat(function(d){ | |
| return d; | |
| }) | |
| var xAxisG = svg.append("g") | |
| .attr("transform", "translate(" + 50 + "," + (height-padding) + ")") | |
| .classed("axis", true) | |
| .call(xAxis) | |
| xAxisG.append("text") | |
| .attr("x", (width-padding)/2) | |
| .attr("y", padding/2) | |
| .text("Millioner basepar") | |
| .attr("font-family", "sans-serif") | |
| .attr("font-size", "14px") | |
| .attr("fill", "black"); | |
| var yAxisG = svg.append("g") | |
| .attr("transform", "translate(" + 50 + "," + 0 + ")") | |
| .classed("axis",true) | |
| .call(yAxis) | |
| yAxisG.append("text") | |
| .attr("x", 0) | |
| .attr("y", 85) | |
| .text("Gener") | |
| .attr("font-family", "sans-serif") | |
| .attr("font-size", "14px") | |
| .attr("fill", "black"); | |
| svg.selectAll("circle") | |
| .data(data) | |
| .enter() | |
| .append("circle") | |
| .attr("cy", function(d){ | |
| return yScale(getGeneCount(d)); | |
| }) | |
| .attr("cx",function(d){ | |
| return 50 + xScale(getTotalBasePairs(d)) | |
| }) | |
| .attr("r","10px") | |
| .attr("fill", function(d){ | |
| const chromosome = getChromosome(d); | |
| if(chromosome === "Y"){ | |
| return "steelblue"; | |
| }else if(chromosome === "X"){ | |
| return "#ffa6c9"; | |
| } else { | |
| return "grey"; | |
| } | |
| }) | |
| .attr("opacity",1) | |
| .attr("stroke", "black") | |
| .attr("stroke-width","1px") | |
| svg.selectAll(".gene") | |
| .data(data) | |
| .enter() | |
| .append("text") | |
| .classed("gene", true) | |
| .attr("text-anchor", "middle") | |
| .attr("y", function(d){ | |
| return yScale(getGeneCount(d)) + 3; | |
| }) | |
| .attr("x", function(d){ | |
| return 50 + xScale(getTotalBasePairs(d)); | |
| }) | |
| .attr("fill","white") | |
| .attr("font-size", "12px") | |
| .text(function(d){ | |
| return getChromosome(d); | |
| }) | |
| <\/script> | |
| </html> | |
| </script> | |
| </body> | |
| <script> | |
| var data= [ | |
| {chromosome:1,genes:2000,totalBasePairs:247199719}, | |
| {chromosome:2,genes:1300,totalBasePairs:242751149}, | |
| {chromosome:3,genes:1000,totalBasePairs:199446827}, | |
| {chromosome:4,genes:1000,totalBasePairs:191263063}, | |
| {chromosome:5,genes:900,totalBasePairs:180837866}, | |
| {chromosome:6,genes:1000,totalBasePairs:170896993}, | |
| {chromosome:7,genes:900,totalBasePairs:158821424}, | |
| {chromosome:8,genes:700,totalBasePairs:146274826}, | |
| {chromosome:9,genes:800,totalBasePairs:140442298}, | |
| {chromosome:10,genes:700,totalBasePairs:135374737}, | |
| {chromosome:11,genes:1300,totalBasePairs:134452384}, | |
| {chromosome:12,genes:1100,totalBasePairs:132289534}, | |
| {chromosome:13,genes:300,totalBasePairs:114127980}, | |
| {chromosome:14,genes:800,totalBasePairs:106360585}, | |
| {chromosome:15,genes:600,totalBasePairs:100338915}, | |
| {chromosome:16,genes:800,totalBasePairs:88822254}, | |
| {chromosome:17,genes:1200,totalBasePairs:78654742}, | |
| {chromosome:18,genes:200,totalBasePairs:76117153}, | |
| {chromosome:19,genes:1500,totalBasePairs:63806651}, | |
| {chromosome:20,genes:500, totalBasePairs:62435965}, | |
| {chromosome:21,genes:200,totalBasePairs:46944323}, | |
| {chromosome:22,genes:500,totalBasePairs:49528953}, | |
| {chromosome:"X", genes: 800, totalBasePairs:154913754}, | |
| {chromosome:"Y", genes:50, totalBasePairs:57741652}] | |
| function getChromosome(d){ | |
| return d.chromosome; | |
| } | |
| function getGeneCount(d){ | |
| return d.genes; | |
| } | |
| function getTotalBasePairs(d){ | |
| return d.totalBasePairs / 1000000; | |
| } | |
| var height = 500; | |
| var width = 500; | |
| var padding = 100; | |
| var svg = d3.select("body") | |
| .append("svg") | |
| .attr("height", height) | |
| .attr("width", width) | |
| var xScale = d3.scaleLinear() | |
| .domain([d3.min(data, getTotalBasePairs), d3.max(data,getTotalBasePairs)]) | |
| .nice() | |
| .range([0, width - padding]); | |
| var yScale = d3.scaleLinear() | |
| .domain([d3.min(data, getGeneCount), d3.max(data,getGeneCount)+200]) | |
| .nice() | |
| .range([height-padding, padding]); | |
| var xAxis = d3.axisBottom() | |
| .scale(xScale); | |
| var yAxis = d3.axisLeft() | |
| .scale(yScale) | |
| .tickFormat(function(d){ | |
| return d; | |
| }) | |
| var xAxisG = svg.append("g") | |
| .attr("transform", "translate(" + 50 + "," + (height-padding) + ")") | |
| .classed("axis", true) | |
| .call(xAxis) | |
| xAxisG.append("text") | |
| .attr("x", (width-padding)/2) | |
| .attr("y", padding/2) | |
| .text("Millioner basepar") | |
| .attr("font-family", "sans-serif") | |
| .attr("font-size", "14px") | |
| .attr("fill", "black"); | |
| var yAxisG = svg.append("g") | |
| .attr("transform", "translate(" + 50 + "," + 0 + ")") | |
| .classed("axis",true) | |
| .call(yAxis) | |
| yAxisG.append("text") | |
| .attr("x", 0) | |
| .attr("y", 85) | |
| .text("Gener") | |
| .attr("font-family", "sans-serif") | |
| .attr("font-size", "14px") | |
| .attr("fill", "black"); | |
| svg.selectAll("circle") | |
| .data(data) | |
| .enter() | |
| .append("circle") | |
| .attr("cy", function(d){ | |
| return yScale(getGeneCount(d)); | |
| }) | |
| .attr("cx",function(d){ | |
| return 50 + xScale(getTotalBasePairs(d)) | |
| }) | |
| .attr("r","10px") | |
| .attr("fill", function(d){ | |
| const chromosome = getChromosome(d); | |
| if(chromosome === "Y"){ | |
| return "steelblue"; | |
| }else if(chromosome === "X"){ | |
| return "#ffa6c9"; | |
| } else { | |
| return "grey"; | |
| } | |
| }) | |
| .attr("opacity",1) | |
| .attr("stroke", "black") | |
| .attr("stroke-width","1px") | |
| svg.selectAll(".gene") | |
| .data(data) | |
| .enter() | |
| .append("text") | |
| .classed("gene", true) | |
| .attr("text-anchor", "middle") | |
| .attr("y", function(d){ | |
| return yScale(getGeneCount(d)) + 3; | |
| }) | |
| .attr("x", function(d){ | |
| return 50 + xScale(getTotalBasePairs(d)); | |
| }) | |
| .attr("fill","white") | |
| .attr("font-size", "12px") | |
| .text(function(d){ | |
| return getChromosome(d); | |
| }) | |
| </script> | |
| </html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment