.block

license: mit
height: 720
border: no

.gistup

gistup

README.md

Histogram of a normal distribution

burgers.json

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://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1so8g"}],"gsx$date":{"$t":"08/02/17"},"gsx$time":{"$t":""},"gsx$meal":{"$t":""},"gsx$varianttopping":{"$t":""},"gsx$side":{"$t":""},"gsx$drinksextras":{"$t":""},"gsx$taxtipextras":{"$t":""},"gsx$guests":{"$t":""},"gsx$weight":{"$t":""},"gsx$errors":{"$t":""},"gsx$roulette":{"$t":""},"gsx$morale":{"$t":""},"gsx$rating":{"$t":""},"gsx$comments":{"$t":""}},{"id":{"$t":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1u2sx"},"updated":{"$t":"2017-03-17T02:58:28.794Z"},"category":[{"scheme":"http://schemas.google.com/spreadsheets/2006","term":"http://schemas.google.com/spreadsheets/2006#list"}],"title":{"type":"text","$t":"08/03/17"},"content":{"type":"text","$t":""},"link":[{"rel":"self","type":"application/atom+xml","href":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1u2sx"}],"gsx$date":{"$t":"08/03/17"},"gsx$time":{"$t":""},"gsx$meal":{"$t":""},"gsx$varianttopping":{"$t":""},"gsx$side":{"$t":""},"gsx$drinksextras":{"$t":""},"gsx$taxtipextras":{"$t":""},"gsx$guests":{"$t":""},"gsx$weight":{"$t":""},"gsx$errors":{"$t":""},"gsx$roulette":{"$t":""},"gsx$morale":{"$t":""},"gsx$rating":{"$t":""},"gsx$comments":{"$t":""}},{"id":{"$t":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1k8ty"},"updated":{"$t":"2017-03-17T02:58:28.794Z"},"category":[{"scheme":"http://schemas.google.com/spreadsheets/2006","term":"http://schemas.google.com/spreadsheets/2006#list"}],"title":{"type":"text","$t":"08/04/17"},"content":{"type":"text","$t":""},"link":[{"rel":"self","type":"application/atom+xml","href":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1k8ty"}],"gsx$date":{"$t":"08/04/17"},"gsx$time":{"$t":""},"gsx$meal":{"$t":""},"gsx$varianttopping":{"$t":""},"gsx$side":{"$t":""},"gsx$drinksextras":{"$t":""},"gsx$taxtipextras":{"$t":""},"gsx$guests":{"$t":""},"gsx$weight":{"$t":""},"gsx$errors":{"$t":""},"gsx$roulette":{"$t":""},"gsx$morale":{"$t":""},"gsx$rating":{"$t":""},"gsx$comments":{"$t":""}},{"id":{"$t":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1lnef"},"updated":{"$t":"2017-03-17T02:58:28.794Z"},"category":[{"scheme":"http://schemas.google.com/spreadsheets/2006","term":"http://schemas.google.com/spreadsheets/2006#list"}],"title":{"type":"text","$t":"08/05/17"},"content":{"type":"text","$t":""},"link":[{"rel":"self","type":"application/atom+xml","href":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1lnef"}],"gsx$date":{"$t":"08/05/17"},"gsx$time":{"$t":""},"gsx$meal":{"$t":""},"gsx$varianttopping":{"$t":""},"gsx$side":{"$t":""},"gsx$drinksextras":{"$t":""},"gsx$taxtipextras":{"$t":""},"gsx$guests":{"$t":""},"gsx$weight":{"$t":""},"gsx$errors":{"$t":""},"gsx$roulette":{"$t":""},"gsx$morale":{"$t":""},"gsx$rating":{"$t":""},"gsx$comments":{"$t":""}},{"id":{"$t":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1n1ys"},"updated":{"$t":"2017-03-17T02:58:28.794Z"},"category":[{"scheme":"http://schemas.google.com/spreadsheets/2006","term":"http://schemas.google.com/spreadsheets/2006#list"}],"title":{"type":"text","$t":"08/06/17"},"content":{"type":"text","$t":""},"link":[{"rel":"self","type":"application/atom+xml","href":"https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values/1n1ys"}],"gsx$date":{"$t":"08/06/17"},"gsx$time":{"$t":""},"gsx$meal":{"$t":""},"gsx$varianttopping":{"$t":""},"gsx$side":{"$t":""},"gsx$drinksextras":{"$t":""},"gsx$taxtipextras":{"$t":""},"gsx$guests":{"$t":""},"gsx$weight":{"$t":""},"gsx$errors":{"$t":""},"gsx$roulette":{"$t":""},"gsx$morale":{"$t":""},"gsx$rating":{"$t":""},"gsx$comments":{"$t":""}}]}}

dist.css

.bar rect{fill:#4682b4}.bar text{fill:#fff;font:10px sans-serif}.sparkline{fill:none;stroke:#4682b4;stroke-width:4px}.sparkcircle{fill:red;stroke:none}

dist.js

var burgerData="https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values?alt=json",margin={top:20,right:20,bottom:30,left:50},width=960-margin.left-margin.right,height=500-margin.top-margin.bottom,x=d3.scaleTime().range([0,width]),y=d3.scaleLinear().range([height,0]),parseTime=d3.timeParse("%m/%d/%y");d3.json(burgerData,function(t,e){var a=_.filter(e.feed.entry,function(t){return""!==t.gsx$meal.$t}),r=_.zip(getField(a,"gsx$date"),getField(a,"gsx$weight")),n=_.filter(r.map(function(t){return{date:parseTime(t[0]),weight:""!==t[1]&&+t[1]}}),function(t){return t.weight});sparkline("#sparkline",n)});var getField=function(t,e){return _(_(t).map(e).value()).map("$t").value()},sparkline=function(t,e){var a=d3.line().curve(d3.curveBasis).x(function(t){return x(t.date)}).y(function(t){return y(t.weight)}),r=d3.select(t).append("svg").attr("width",width+margin.left+margin.right).attr("height",height+margin.top+margin.bottom).append("g").attr("transform","translate("+margin.left+","+margin.top+")");x.domain(d3.extent(e,function(t){return t.date})),y.domain([d3.min(e,function(t){return t.weight}),d3.max(e,function(t){return t.weight})]),r.append("path").data([e]).attr("class","sparkline").attr("d",a),r.append("g").attr("transform","translate(0,"+height+")").call(d3.axisBottom(x)),r.append("g").call(d3.axisLeft(y))};

index.html

<!DOCTYPE html>
<title>blockup</title>
<link href='dist.css' rel='stylesheet' />
<body>
	<h1>My Burger Year</h1>
	<p>Here are some sick graphs about eating burgers FOREVER</p>
	
	<div id="sparkline"></div>

	<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js'></script>
	<script src='https://d3js.org/d3.v4.min.js'></script>
	<script src='dist.js'></script>
</body>

script.js

// Burger data
const burgerData = 'https://spreadsheets.google.com/feeds/list/12M7lpW4jVl4YtB0D6WwnlSoUubuuHFWTgtfgj4JfLto/od6/public/values?alt=json'

// set the dimensions and margins of the graph
var margin = {top: 20, right: 20, bottom: 30, left: 50},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;


//Create scales for mapping values to x/y coordinates
const x = d3.scaleTime().range([0, width])
const y = d3.scaleLinear().range([height, 0])

// parse the date / time
const parseTime = d3.timeParse("%m/%d/%y");

d3.json(burgerData, (error, data) => {
	const entries = _.filter(data.feed.entry, (o) => {
		return '' !== o.gsx$meal.$t
	})

	const weight = _.zip(getField(entries, 'gsx$date'), getField(entries, 'gsx$weight'))

	// format the data, filter out dates with no data
	let formattedWeight = _.filter(weight.map((d) => {
			return {
				"date": parseTime(d[0]),
				"weight": ('' === d[1]) ? false : +d[1],
			}
	}),
	(o) => {
		return o.weight
	})

	sparkline('#sparkline', formattedWeight)
})

//Google doc's json structure is cavernous, this function returns a flat array of field values
const getField = (data, fieldName) => {
	return _(_(data).map(fieldName).value()).map('$t').value()
}

const sparkline = (elementID, data) => {

	const valueLine = d3.line()
		/** 
		 * Alternatively:
		 * d3.curveStep[Before,After]
		 * d3.curveBasis
		 * d3.curveCardinal
		 * d3.curveCatmullRom
		 * d3.curveMonotoneX
		 */
		.curve(d3.curveBasis)
		.x((d) => {
			return x(d.date) 
		})
		.y((d) => { 
			return y(d.weight) 
		})

	const svg = d3.select(elementID).append("svg")
		.attr("width", width + margin.left + margin.right)
		.attr("height", height + margin.top + margin.bottom)
	.append("g")
		.attr("transform",
		"translate(" + margin.left + "," + margin.top + ")")

	// Scale the range of the data
	x.domain(d3.extent(data, (d) => { return d.date }))
	// Bind vertical axis to the data's minimum and maximum
	y.domain([
		d3.min(data, (d) => { return d.weight }), 
		d3.max(data, (d) => { return d.weight })
	])

	// Add the line path.
	svg.append("path")
		.data([data])
		.attr("class", "sparkline")
		.attr("d", valueLine)

	// Add the X Axis
	svg.append("g")
		.attr("transform", "translate(0," + height + ")")
		.call(d3.axisBottom(x))

 	// Add the Y Axis
	svg.append("g")
		.call(d3.axisLeft(y));
}

style.styl

.bar rect
	fill steelblue

.bar text
	fill #fff
	font 10px sans-serif

.sparkline
	fill none
	stroke steelblue
	stroke-width 4px

.sparkcircle
	fill #f00
	stroke none