lauriemerrell/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org
forked from molliemarie's block: CrimeInChicago_BarPlot_Starter

  
## index.html
<!DOCTYPE html>
<meta charset="utf-8">

<script src="https://d3js.org/d3.v5.min.js"></script>

<style type="text/css">

svg {
  border:1px solid #f0f;
}


</style>

<body>
</body>

<script>

//Define variables that do not need data first:

//Define Margins and svg here:

var margin = {top: 20, right: 30, bottom: 20, left: 30};

var width = 400;

var height = 300;

var svg = d3.select("body")
	.append("div")
	.append("svg");


//Define xscale, yscale, xaxis, and yaxis here:

var xScale = d3.scaleBand()
	.rangeRound([0,width]);

// var yScale =

var yScale = d3.scaleLinear()
	.range([0,height]);

// var xAxis =

var xAxis = d3.axisBottom(xScale);

// var yAxis =

var yAxis = d3.axisLeft(yScale);

// Reading in data here, then calling "ready" function:
d3.csv("https://raw.githubusercontent.com/molliemarie/MSIA-D3Course-2019/master/Projects%26Exercises/FirstCompleteBar/data/ChiCrime.csv", function(d) {
  return {
    count: +d.count,
    year: +d.year,
    violation: d['Primary Type']
  }
}).then(ready);
// Ready Function
function ready(data) {

  // filtering for 2018 data
  data2018 = data.filter(function(d) { return d.year == 2018})

  console.log(data2018)

  // Define xScale and yScale domains here:

  xScale.domain(data2018.map(function(d) { return d.violation; }));
  yScale.domain(0, d3.max(data2018.count, function(d){return d.count}));

  // define xAxisGroup and yAxisGroup here:

var xAxisGroup = svg.append("g")
	.attr("class", "x axis")
	.call(xAxis);

var yAxisGroup = svg.append("g")
	.attr("class", "y axis")
	.call(yAxis)


  // Create bars here:

  // var bars =
 }


</script>
	<!DOCTYPE html>
	<meta charset="utf-8">

	<script src="https://d3js.org/d3.v5.min.js"></script>

	<style type="text/css">

	svg {
	border:1px solid #f0f;
	}


	</style>

	<body>
	</body>

	<script>

	//Define variables that do not need data first:

	//Define Margins and svg here:

	var margin = {top: 20, right: 30, bottom: 20, left: 30};

	var width = 400;

	var height = 300;

	var svg = d3.select("body")
	.append("div")
	.append("svg");


	//Define xscale, yscale, xaxis, and yaxis here:

	var xScale = d3.scaleBand()
	.rangeRound([0,width]);

	// var yScale =

	var yScale = d3.scaleLinear()
	.range([0,height]);

	// var xAxis =

	var xAxis = d3.axisBottom(xScale);

	// var yAxis =

	var yAxis = d3.axisLeft(yScale);

	// Reading in data here, then calling "ready" function:
	d3.csv("https://raw.githubusercontent.com/molliemarie/MSIA-D3Course-2019/master/Projects%26Exercises/FirstCompleteBar/data/ChiCrime.csv", function(d) {
	return {
	count: +d.count,
	year: +d.year,
	violation: d['Primary Type']
	}
	}).then(ready);
	// Ready Function
	function ready(data) {

	// filtering for 2018 data
	data2018 = data.filter(function(d) { return d.year == 2018})

	console.log(data2018)

	// Define xScale and yScale domains here:

	xScale.domain(data2018.map(function(d) { return d.violation; }));
	yScale.domain(0, d3.max(data2018.count, function(d){return d.count}));

	// define xAxisGroup and yAxisGroup here:

	var xAxisGroup = svg.append("g")
	.attr("class", "x axis")
	.call(xAxis);

	var yAxisGroup = svg.append("g")
	.attr("class", "y axis")
	.call(yAxis)


	// Create bars here:

	// var bars =
	}


	</script>