This is the code for Chapter 4, Figure 12 from D3.js in Action creates a scatterplot from the median values from a dataset loaded from CSV.
Last active
March 18, 2016 03:38
-
-
Save emeeks/65f4462b63f2b04b0175 to your computer and use it in GitHub Desktop.
Ch. 4, Fig. 12 - D3.js in Action
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
| day | min | max | median | q1 | q3 | number | |
|---|---|---|---|---|---|---|---|
| 1 | 14 | 65 | 33 | 20 | 35 | 22 | |
| 2 | 25 | 73 | 25 | 25 | 30 | 170 | |
| 3 | 15 | 40 | 25 | 17 | 28 | 185 | |
| 4 | 18 | 55 | 33 | 28 | 42 | 135 | |
| 5 | 14 | 66 | 35 | 22 | 45 | 150 | |
| 6 | 22 | 70 | 34 | 28 | 42 | 170 | |
| 7 | 14 | 65 | 33 | 30 | 50 | 28 |
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
| <html> | |
| <head> | |
| <title>D3 in Action Chapter 4 - Example 6</title> | |
| <meta charset="utf-8" /> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script> | |
| </head> | |
| <style> | |
| svg { | |
| height: 500px; | |
| width: 500px; | |
| border: 1px solid gray; | |
| } | |
| line { | |
| shape-rendering: crispEdges; | |
| stroke: #000000; | |
| } | |
| line.minor { | |
| stroke: #777777; | |
| stroke-dasharray: 2,2; | |
| } | |
| path.domain { | |
| fill: none; | |
| stroke: black; | |
| } | |
| </style> | |
| <body> | |
| <div id="viz"> | |
| <svg> | |
| </svg> | |
| </div> | |
| <div id="controls" /> | |
| </body> | |
| <footer> | |
| <script> | |
| d3.csv("boxplot.csv", scatterplot) | |
| function scatterplot(data) { | |
| xScale = d3.scale.linear().domain([1,8]).range([20,470]); | |
| yScale = d3.scale.linear().domain([0,100]).range([480,20]); | |
| console.log(data) | |
| yAxis = d3.svg.axis() | |
| .scale(yScale) | |
| .orient("right") | |
| .ticks(8) | |
| .tickSize(-470) | |
| .tickSubdivide(true); | |
| d3.select("svg").append("g") | |
| .attr("transform", "translate(470,0)") | |
| .attr("id", "yAxisG") | |
| .call(yAxis); | |
| xAxis = d3.svg.axis() | |
| .scale(xScale) | |
| .orient("bottom") | |
| .tickSize(-470) | |
| .tickValues([1,2,3,4,5,6,7]); | |
| d3.select("svg").append("g") | |
| .attr("transform", "translate(0,480)") | |
| .attr("id", "xAxisG") | |
| .call(xAxis); | |
| d3.select("svg").selectAll("circle.median") | |
| .data(data) | |
| .enter() | |
| .append("circle") | |
| .attr("class", "tweets") | |
| .attr("r", 5) | |
| .attr("cx", function(d) {return xScale(d.day)}) | |
| .attr("cy", function(d) {return yScale(d.median)}) | |
| .style("fill", "darkgray"); | |
| } | |
| </script> | |
| </footer> | |
| </html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment