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Week 1: CSV data.
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| Model | SalesIn2014 | SalesIn2015 | StartingPrice | |
|---|---|---|---|---|
| 1/2 Series | 6621 | 10877 | 32850 | |
| 3 Series | 87451 | 89265 | 33150 | |
| 4 Series | 35583 | 40481 | 41650 | |
| 5 Series | 47187 | 41177 | 50200 | |
| 6 Series | 7757 | 6685 | 77300 | |
| 7 Series | 8648 | 8026 | 81300 | |
| X1 | 20217 | 12651 | 34800 | |
| X3 | 31029 | 28798 | 38950 | |
| X5 | 40933 | 48747 | 53900 |
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| <!DOCTYPE html> | |
| <!-- This was one of Scott Murray's Knight D3 course files, modified a bit. --> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>Week 1: CSV data</title> | |
| <script type="text/javascript" src="http://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script> | |
| <script type="text/javascript" src="https://code.jquery.com/jquery-1.12.0.min.js"></script> | |
| </head> | |
| <body> | |
| <p class="csvdata"></p> | |
| <script> | |
| //Load in contents of CSV file | |
| d3.csv("bmw_data.csv", function(data1) { | |
| //Now CSV contents have been transformed into | |
| //an array of JSON objects. | |
| console.log("The first file is csv...") | |
| //Log 'data' to the console, for verification. | |
| console.log(data1); | |
| $("p.csvdata").text(JSON.stringify(data1)); | |
| }); | |
| // Notice that the objects look the same. d3.csv() parses rows as objects. | |
| // Also this is a good point to talk about scope and breakpoints. | |
| </script> | |
| </body> | |
| </html> |
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