An example how to use item explorer with a csv file which needs to be processed before it is passed on to item explorer. The resulting data is assumed to be in the required format.
Complete list of examples:
Data formatting
Including data
Visualization options
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <head> | |
| <link rel="stylesheet" type="text/css" href="http://www.ankerst.de/lib/itemExplorer_10.css"> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script> | |
| <script src="http://www.ankerst.de/lib/itemExplorer_10.min.js"></script> | |
| </head> | |
| <body> | |
| <script> | |
| var myIEChart = itemExplorerChart(); | |
| readData("items_small.csv"); | |
| function showChart(_file) { | |
| d3.select("body") | |
| .append("div") | |
| .attr("class", "chart") | |
| .datum(_file) | |
| .call(myIEChart); | |
| } | |
| function readData(csvFile) { | |
| if (typeof csvFile !== 'undefined') { | |
| d3.csv(csvFile, convertToNumber, function(error, file) { | |
| showChart(file); | |
| }); | |
| } | |
| else { | |
| file = d3.csv.parse(d3.select("pre#data").text()); | |
| file.forEach( function (row) { | |
| convertToNumber(row); | |
| }); | |
| showChart(file); | |
| } | |
| } | |
| function convertToNumber(d) { | |
| for (var perm in d) { | |
| if (Object.prototype.hasOwnProperty.call(d, perm)) { | |
| d[perm] = +d[perm]; | |
| } | |
| } | |
| return d; | |
| } | |
| </script> | |
| </body> | |
| </html> |
| _customers | item1 | item2 | item3 | item4 | |
|---|---|---|---|---|---|
| 100000 | 0 | 0 | 0 | 1 | |
| 100000 | 0 | 0 | 1 | 1 | |
| 100000 | 0 | 1 | 0 | 1 | |
| 100000 | 0 | 1 | 1 | 1 | |
| 100000 | 1 | 0 | 0 | 1 | |
| 100000 | 1 | 0 | 1 | 1 | |
| 100000 | 1 | 1 | 0 | 1 | |
| 100000 | 1 | 1 | 1 | 1 | |
| 100000 | 0 | 0 | 0 | 0 | |
| 100000 | 0 | 0 | 1 | 0 | |
| 100000 | 0 | 1 | 0 | 0 | |
| 100000 | 0 | 1 | 1 | 0 | |
| 100000 | 1 | 0 | 0 | 0 | |
| 100000 | 1 | 0 | 1 | 0 | |
| 100000 | 1 | 1 | 0 | 0 | |
| 100000 | 1 | 1 | 1 | 0 |
