bengolder/index.html

## index.html
<html>
<head>
  <meta http-equiv="content-type" content="text/html; charset=UTF8">

</head>
<body>

    <script src="http://d3js.org/d3.v3.min.js"  charset="utf-8"></script>
    <script src="tosci.js"  charset="utf-8"></script>

</body>
</html>

## tosci.js
function parseRow(d) {
  var dateTimeJoiner = d3.time.format("%x %X") // combines date and time into a Date object
  var dateTime = dateTimeJoiner.parse(d["Date"] + " " + d["Time"]) // grabs the date and time
  var gross_sales_conversion = +d["Gross Sales"].substr(1) //strips the $ sign
  var total_sales = gross_sales_conversion * 1.07 //add tax
  return {
        date: dateTime,
        category: d.Category,
        item: d.Item,
        quantity: +d.Quantity,
        pricepoint: d["Price Point Name"],
        gross_sales: gross_sales_conversion,
        total_sale: +d3.format(".2f")(total_sales), // rounds to 2 decimal places
        device_name: d["Device Name"]
  };
}

function handleRows( error, rows ) {
  // this function is only called once all the rows are loaded
  // In this function you can now access the loaded and parsed rows
  rows.forEach( handleRow );
  console.log("dataset after loading csv:", dataset)
}

function handleRow( row, i, rows ) {
  console.log("item #", i, row.date, "adding to dataset");
  dataset.push(row);
}

// d3.csv( csv_file_path, parsing_function, callback_function)
d3.csv("5feb2014.csv", parseRow, handleRows);

var dataset = [];
console.log("dataset before loading csv:", dataset)
	<html>
	<head>
	<meta http-equiv="content-type" content="text/html; charset=UTF8">

	</head>
	<body>

	<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
	<script src="tosci.js" charset="utf-8"></script>

	</body>
	</html>
	function parseRow(d) {
	var dateTimeJoiner = d3.time.format("%x %X") // combines date and time into a Date object
	var dateTime = dateTimeJoiner.parse(d["Date"] + " " + d["Time"]) // grabs the date and time
	var gross_sales_conversion = +d["Gross Sales"].substr(1) //strips the $ sign
	var total_sales = gross_sales_conversion * 1.07 //add tax
	return {
	date: dateTime,
	category: d.Category,
	item: d.Item,
	quantity: +d.Quantity,
	pricepoint: d["Price Point Name"],
	gross_sales: gross_sales_conversion,
	total_sale: +d3.format(".2f")(total_sales), // rounds to 2 decimal places
	device_name: d["Device Name"]
	};
	}

	function handleRows( error, rows ) {
	// this function is only called once all the rows are loaded
	// In this function you can now access the loaded and parsed rows
	rows.forEach( handleRow );
	console.log("dataset after loading csv:", dataset)
	}

	function handleRow( row, i, rows ) {
	console.log("item #", i, row.date, "adding to dataset");
	dataset.push(row);
	}

	// d3.csv( csv_file_path, parsing_function, callback_function)
	d3.csv("5feb2014.csv", parseRow, handleRows);

	var dataset = [];
	console.log("dataset before loading csv:", dataset)