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I am building a data visualization project utilizing the d3 library. I have created a legend and am trying to match up text labels with that legend.
To elaborate further, I have 10 rect objects created and colored per each line of my graph. I want text to appear adjacent to each rect object corresponding with the line's color.
My Problem
-Right now, an array containing all words that correspond to each line appears adjacent to the top rect object. And that's it.
I think it could be because I grouped my data using the d3.nest function. Also, I noticed only one text element is created in the HTML. Can anyone take a look and tell me what I'm doing wrong?
JS Code
const margin = { top: 20, right: 30, bottom: 30, left: 0 },
width = 1000 - margin.left - margin.right;
height = 600 - margin.top - margin.bottom;
// maybe a translate line
// document.body.append(svg);
const div_block = document.getElementById("main-div");
// console.log(div_block);
const svg = d3
.select("svg")
.attr("width", width + margin.left + margin.right) // viewport size
.attr("height", height + margin.top + margin.bottom) // viewport size
.append("g")
.attr("transform", "translate(40, 20)"); // center g in svg
// load csv
d3.csv("breitbartData.csv").then((data) => {
// convert Count column values to numbers
data.forEach((d) => {
d.Count = +d.Count;
d.Date = new Date(d.Date);
});
// group the data with the word as the key
const words = d3
.nest()
.key(function (d) {
return d.Word;
})
.entries(data);
// create x scale
const x = d3
.scaleTime() // creaters linear scale for time
.domain(
d3.extent(
data,
// d3.extent returns [min, max]
(d) => d.Date
)
)
.range([margin.left - -30, width - margin.right]);
// x axis
svg
.append("g")
.attr("class", "x-axis")
.style("transform", `translate(-3px, 522px)`)
.call(d3.axisBottom(x))
.append("text")
.attr("class", "axis-label-x")
.attr("x", "55%")
.attr("dy", "4em")
// .attr("dy", "20%")
.style("fill", "black")
.text("Months");
// create y scale
const y = d3
.scaleLinear()
.domain([0, d3.max(data, (d) => d.Count)])
.range([height - margin.bottom, margin.top]);
// y axis
svg
.append("g")
.attr("class", "y-axis")
.style("transform", `translate(27px, 0px)`)
.call(d3.axisLeft(y));
// line colors
const line_colors = words.map(function (d) {
return d.key; // list of words
});
const color = d3
.scaleOrdinal()
.domain(line_colors)
.range([
"#e41a1c",
"#377eb8",
"#4daf4a",
"#984ea3",
"#ff7f00",
"#ffff33",
"#a65628",
"#f781bf",
"#999999",
"#872ff8",
]); //https://observablehq.com/#d3/d3-scaleordinal
// craete legend variable
const legend = svg
.append("g")
.attr("class", "legend")
.attr("height", 100)
.attr("width", 100)
.attr("transform", "translate(-20, 50)");
// create legend shapes and locations
legend
.selectAll("rect")
.data(words)
.enter()
.append("rect")
.attr("x", width + 65)
.attr("y", function (d, i) {
return i * 20;
})
.attr("width", 10)
.attr("height", 10)
.style("fill", function (d) {
return color(d.key);
});
// create legend labels
legend
.append("text")
.attr("x", width + 85)
.attr("y", function (d, i) {
return i * 20 + 9;
})
// .attr("dy", "0.32em")
.text(
words.map(function (d, i) {
return d.key; // list of words
})
);
// returning an array as text
// });
svg
.selectAll(".line")
.data(words)
.enter()
.append("path")
.attr("fill", "none")
.attr("stroke", function (d) {
return color(d.key);
})
.attr("stroke-width", 1.5)
.attr("d", function (d) {
return d3
.line()
.x(function (d) {
return x(d.Date);
})
.y(function (d) {
return y(d.Count);
})(d.values);
});
});
Image of the problem:
P.S. I cannot add a JSfiddle because I am hosting this page on a web server, as that is the only way chrome can read in my CSV containing the data.
My Temporary Solution
function leg_labels() {
let the_word = "";
let num = 0;
for (i = 0; i < words.length; i++) {
the_word = words[i].key;
num += 50;
d3.selectAll(".legend")
.append("text")
.attr("x", width + 85)
.attr("y", function (d, i) {
return i + num;
})
// .attr("dy", "0.32em")
.text(the_word);
}
}
leg_labels();
Problem
Your problem has to do with this code
legend
.append("text")
.attr("x", width + 85)
.attr("y", function (d, i) {
return i * 20 + 9;
})
// .attr("dy", "0.32em")
.text(
words.map(function (d, i) {
return d.key; // list of words
})
);
You are appending only a single text element and in the text function you are returning the complete array of words, which is why all words are shown.
Solution
Create a corresponding text element for each legend rectangle and provide the correct word. There are multiple ways to go about it.
You could use foreignObject to append HTML inside your SVG, which is very helpful for text, but for single words, plain SVG might be enough.
I advise to use a g element for each legend item. This makes positioning a lot easier, as you only need to position the rectangle and text relative to the group, not to the whole chart.
Here is my example:
let legendGroups = legend
.selectAll("g.legend-item")
.data(words)
.enter()
.append("g")
.attr("class", "legend-item")
.attr("transform", function(d, i) {
return `translate(${width + 65}px, ${i * 20}px)`;
});
legendGroups
.append("rect")
.attr("x", 0)
.attr("y", 0)
.attr("width", 10)
.attr("height", 10)
.style("fill", function (d) {
return color(d.key);
});
legendGroups
.append("text")
.attr("x", 20)
.attr("y", 9)
.text(function(d, i) { return words[i].key; });
This should work as expected.
Please note the use of groups for easier positioning.
I am creating a line plot in d3 using an example I found here -> https://www.d3-graph-gallery.com/graph/line_brushZoom.html
My data contains observations from 1890 through to 2018 in the following format:
1880-01-01,1
1890-01-01,3
1890-02-02,1
1890-02-17,1
1890-03-29,1
1890-04-04,1
1890-05-04,1
1890-06-02,1
1890-06-05,1
1890-06-11,1
1890-07-01,1
1890-10-28,1
1890-12-24,1
1890-12-25,1
1891-01-29,1
1891-03-03,1
1891-06-07,1
1892-05-09,1
1893-08-20,1
1893-10-06,1
1894-03-28,1
1895-10-17,1
1896-05-25,1
1897-02-05,1
1897-07-29,1
1897-08-26,1
1898-07-05,1
1900-01-01,1
1900-08-12,1
1901-09-21,1
1903-08-16,1
1903-09-23,1
1904-02-13,1
1904-09-02,1
1904-09-04,1
1905-05-08,1
1905-07-06,1
1905-11-19,1
1906-09-24,1
1908-02-03,1
1909-01-01,1
1910-09-26,1
I noticed that the x axis scale renders dates between 1890 and 1910 with the following ticks :00
rather than 1890, 1900, 1910
The original chart code gives the following line to set the
// Add X axis --> it is a date format
var x = d3.scaleTime()
//.domain(d3.extent(data, function(d) { return d.date; }))// original line
.domain([new Date(1880, 0, 1), new Date(2018, 0, 1)]) // debugline
.range([ 0, width ]);
xAxis = svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
d3.v5 does it. little different
const xScale = d3.scaleTime().range([0,width]);
const yScale = d3.scaleLinear().rangeRound([height, 0]);
xScale.domain(d3.extent(data, function(d){
return timeConv(d.date)}));
yScale.domain([(0), d3.max(slices, function(c) {
return d3.max(c.values, function(d) {
return d.measurement + 4; });
})
]);
I can't figure out what the problem is, I tried the same data in d3.v5 and I can't reproduce the problem. I am wondering if there is some additional parsing that is required for distinct types?
Thanks
Jonathan
PS Full code was requested (copy and pasted from the d3-gallery)
<!-- Code from d3-graph-gallery.com -->
<!DOCTYPE html>
<meta charset="utf-8">
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.min.js"></script>
<!-- Create a div where the graph will take place -->
<div id="my_dataviz"></div>
<script>
// set the dimensions and margins of the graph
var margin = {top: 50, right: 30, bottom: 30, left: 60},
width = 900 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
.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 + ")");
//Read the data
d3.csv("all_cases.csv",
// When reading the csv, I must format variables:
function(d){
return { date : d3.timeParse("%Y-%m-%d")(d.date), value : d.value }
},
// Now I can use this dataset:
function(data) {
// Add X axis --> it is a date format
var x = d3.scaleTime()
// .domain(d3.extent(data, function(d) { return d.date; }))
.domain([new Date(1880, 0, 1), new Date(2018, 0, 1)])
.range([ 0, width ]);
xAxis = svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add Y axis
var y = d3.scaleLinear()
.domain([0, d3.max(data, function(d) { return +d.value; })+5])
.range([ height, 0 ]);
yAxis = svg.append("g")
.call(d3.axisLeft(y));
// Add a clipPath: everything out of this area won't be drawn.
var clip = svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("width", width )
.attr("height", height )
.attr("x", 0)
.attr("y", 0);
// Add brushing
var brush = d3.brushX() // Add the brush feature using the d3.brush function
.extent( [ [0,0], [width,height] ] ) // initialise the brush area: start at 0,0 and finishes at width,height: it means I select the whole graph area
.on("end", updateChart) // Each time the brush selection changes, trigger the 'updateChart' function
// Create the line variable: where both the line and the brush take place
var line = svg.append('g')
.attr("clip-path", "url(#clip)")
// Add the line
line.append("path")
.datum(data)
.attr("class", "line") // I add the class line to be able to modify this line later on.
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
)
// Add the brushing
line
.append("g")
.attr("class", "brush")
.call(brush);
// A function that set idleTimeOut to null
var idleTimeout
function idled() { idleTimeout = null; }
// A function that update the chart for given boundaries
function updateChart() {
// What are the selected boundaries?
extent = d3.event.selection
// If no selection, back to initial coordinate. Otherwise, update X axis domain
if(!extent){
if (!idleTimeout) return idleTimeout = setTimeout(idled, 350); // This allows to wait a little bit
x.domain([ 4,8])
}else{
x.domain([ x.invert(extent[0]), x.invert(extent[1]) ])
line.select(".brush").call(brush.move, null) // This remove the grey brush area as soon as the selection has been done
}
// Update axis and line position
xAxis.transition().duration(1000).call(d3.axisBottom(x))
line
.select('.line')
.transition()
.duration(1000)
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
)
}
// If user double click, reinitialize the chart
svg.on("dblclick",function(){
x.domain(d3.extent(data, function(d) { return d.date; }))
xAxis.transition().call(d3.axisBottom(x))
line
.select('.line')
.transition()
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
)
});
})
svg.append("text")
.attr("x", 400)
.attr("y", -5)
.attr("text-anchor", "middle")
.style("font-size", "16px")
.style("text-decoration", "solid")
.text("Outbreaks 1890 - 2018");
</script>
You're using D3 v4, and the axis works with D3 v5:
<script src="https://d3js.org/d3.v4.min.js"></script>
To make your code work with v5, you have to change the syntax of d3.csv slightly, as it uses promises in v5. You don't need to change anything else.
d3.csv("all_cases.csv",
function(d){
return { date : d3.timeParse("%Y-%m-%d")(d.date), value : d.value }
})
.then(function(data) {
// code
})
my coding is to plot x axis with location, y axis with (value1,value2 or value3) and legend with types(high, medium,low). what I'm trying to do is to add menu with value1,2,3 and add legend with different types so if I change from either menu or click on legend, plot got updated with only selected data.
however, my code below is only able to create legend set as default type or clicked but not able to include all types. is there any way to include all types in legends constantly no matter what type is clicked and only update chart accordingly?
thank you,
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960- margin.left - margin.right,
height = 900 - margin.top - margin.bottom,
radius = 3.5,
padding = 1,
xVar = "location",
cVar= " type";
default = "high";
// add the tooltip area to the webpage
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
// force data to update when menu is changed
var menu = d3.select("#menu select")
.on("change", change);
// load data
d3.csv("sample.csv", function(error, data) {
formatted = data;
draw();
});
// set terms of transition that will take place
// when new indicator from menu or legend is chosen
function change() {
//remove old plot and data
var svg = d3.select("svg");
svg.transition().duration(100).remove();
//redraw new plot with new data
d3.transition()
.duration(750)
.each(draw)
}
function draw() {
// add the graph canvas to the body of the webpage
var svg = d3.select("body").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 + ")")
// setup x
var xValue = function(d) { return d[xVar];}, // data -> value
xScale = d3.scale.ordinal()
.rangeRoundBands([0,width],1), //value -> display
xMap = function(d) { return (xScale(xValue(d)) + Math.random()*10);}, // data -> display
xAxis = d3.svg.axis().scale(xScale).orient("bottom");
// setup y
var yVar = menu.property("value"),
yValue = function(d) { return d[yVar];}, // data -> value
yScale = d3.scale.linear().range([height, 0]), // value -> display
yMap = function(d) { return yScale(yValue(d));}, // data -> display
yAxis = d3.svg.axis().scale(yScale).orient("left");
// setup fill color
var cValue = function(d) { return d[cVar];},
color = d3.scale.category10();
// filter the unwanted data and plot with only chosen dataset.
data = formatted.filter(function(d, i)
{
if (d[cVar] == default)
{
return d;
}
});
data = formatted;
// change string (from CSV) into number format
data.forEach(function(d) {
d[xVar] = d[xVar];
d[yVar] = +d[yVar];
});
xScale.domain(data.sort(function(a, b) { return d3.ascending(a[xVar], b[xVar])})
.map(xValue) );
// don't want dots overlapping axis, so add in buffer to data domain
yScale.domain([d3.min(data, yValue)-1, d3.max(data, yValue)+1]);
// x-axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text(xVar);
// y-axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text(yVar);
// draw dots
var dot = svg.selectAll(".dot")
.data(data)
.enter()
.append("circle")
.attr("class", "dot")
.attr("r", radius)
.attr("cx", xMap)
.attr("cy", yMap)
.style("fill", function(d) { return color(cValue(d));})
.on("mouseover", function(d) {
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(d[SN] + "<br/> (" + xValue(d)
+ ", " + yValue(d) + ")")
.style("left", (d3.event.pageX + 5) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
tooltip.transition()
.duration(500)
.style("opacity", 0);
});
// draw legend
var legend = svg.selectAll(".legend")
.data(color.domain().slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
// draw legend colored rectangles
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color)
.on("click", function (d){
default = d;
return change();
});
// draw legend text
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d;})
.on("click", function (d) {
default = d;
return change();
});
};
</script>
</body>
sample.csv
location type value1 value2 value3
A high 1 -2 -5
B medium 2 3 4
C low 4 1 2
C medium 6 3 4
A high 4 5 6
D low -1 3 2
I found a way to include all types in the legend.
first, extract unique types from column "type" and save them in the "legend_keys" as array. second, instead of pre-define "default", set the first type in the "legend_keys" as a default. but next default will be set by the event on click out of legend.
d3.csv("sample.csv", function(error, data) {
formatted = data;
var nest = d3.nest()
.key(function(d) { return d[cVar]; })
.entries(formatted);
console.log(nest);
legend_keys = nest.map(function(o){return o.key});
default = legend_keys[0];
//console.log(legend_keys[0]);
draw();
});
Finally, when define the legend, read "legend_keys" as data as below.
By doing this, I can always keep all types in the legend.
var legend = svg.selectAll(".legend")
.data(legend_keys)
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; })
.on("click", function (d){
default = d;
console.log(default);
return change();
});
I create a scatterplot which is defined on the following data (note that only first two fields are currently using for plotting):
var data = [[5,3,"{'text':'word1',size:4},{'text':'word2','size':1}"],
[3,5,"{'text':'word3',size:5},{'text':'word4','size':4}"],
[1,4,"{'text':'word1',size:3},{'text':'word2','size':5},{'text':'word3','size':2}"],
[2,3,"{'text':'word2',size:1},{'text':'word3','size':5}"]];
Next, when we click on each particular point in the scatterplot the application should attach a wordcloud which is defined from words stored in the 3rd field of the data variable. I use Jason Davies's implementation of wordcloud. Currently (for demo purposes), the wordcloud is generating onlyfrom the static data stored in variable frequency_list. The current code is also stored on JSFiddle.
Any idea how to proceed?
var data = [[5,3,"{'text':'word1',size:4},{'text':'word2','size':1}"],
[3,5,"{'text':'word3',size:5},{'text':'word4','size':4}"],
[1,4,"{'text':'word1',size:3},{'text':'word2','size':5},{'text':'word3','size':2}"],
[2,3,"{'text':'word2',size:1},{'text':'word3','size':5}"]];
var margin = {top: 20, right: 15, bottom: 60, left: 60},
width = 500 - margin.left - margin.right,
height = 250 - margin.top - margin.bottom;
var x = d3.scale.linear()
.domain([0, d3.max(data, function(d) { return d[0]; })])
.range([ 0, width ]);
var y = d3.scale.linear()
.domain([0, d3.max(data, function(d) { return d[1]; })])
.range([ height, 0 ]);
var chart = d3.select('body')
.append('svg:svg')
.attr('width', width + margin.right + margin.left)
.attr('height', height + margin.top + margin.bottom)
.attr('class', 'chart')
var main = chart.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
.attr('width', width)
.attr('height', height)
.attr('class', 'main')
// Draw the x axis
var xAxis = d3.svg.axis()
.scale(x)
.orient('bottom');
main.append('g')
.attr('transform', 'translate(0,' + height + ')')
.attr('class', 'main axis date')
.call(xAxis);
// draw the y axis
var yAxis = d3.svg.axis()
.scale(y)
.orient('left');
main.append('g')
.attr('transform', 'translate(0,0)')
.attr('class', 'main axis date')
.call(yAxis);
var g = main.append("svg:g");
g.selectAll("scatter-dots")
.data(data)
.enter().append("svg:circle")
.attr("cx", function (d,i) { return x(d[0]); } )
.attr("cy", function (d) { return y(d[1]); } )
.attr("r", 5)
.on("mouseover", function(){d3.select(this).style("fill", "red")})
.on("mouseout", function(){d3.select(this).style("fill", "black")});
// FUNCTION TO DISPLAY CIRCLE
g.on('mouseover', function(){
div.style("display", "block")
d3.select("krog").style("fill", "orange");
generate();
});
g.on('mouseout', function(){
//div.style("display", "none")
div.select("svg").remove();
});
var div = d3.select("body")
.append("div")
.attr("class", "tooltip")
.style("display", "none");
// Functions to draw wordcloud
var frequency_list = [{"text":"study","size":40},{"text":"motion","size":15},{"text":"forces","size":10},{"text":"electricity","size":15},{"text":"movement","size":10},{"text":"relation","size":5},{"text":"things","size":10},{"text":"force","size":5},{"text":"ad","size":5}];
var color = d3.scale.linear()
.domain([0,1,2,3,4,5,6,10,15,20,100])
.range(["#ddd", "#ccc", "#bbb", "#aaa", "#999", "#888", "#777", "#666", "#555", "#444", "#333", "#222"]);
// Generates wordcloud
function generate(){
d3.layout.cloud().size([800, 300])
.words(frequency_list)
.rotate(0)
.fontSize(function(d) { return d.size; })
.on("end", draw)
.start();
}
function draw(words) {
d3.select("div").append("svg")
.attr("width", 850)
.attr("height", 350)
.attr("class", "wordcloud")
.append("g")
// without the transform, words words would get cutoff to the left and top, they would
// appear outside of the SVG area
.attr("transform", "translate(320,200)")
.selectAll("text")
.data(words)
.enter().append("text")
.style("font-size", function(d) { return d.size + "px"; })
.style("fill", function(d, i) { return color(i); })
.attr("transform", function(d) {
return "translate(" + [d.x, d.y] + ")rotate(" + d.rotate + ")";
})
.text(function(d) { return d.text; });
}
You have a couple of problems here.
First, your data has strings for the words. I changed that for an array of objects:
var data = [[5,3,[{'text':'word1',size:4},{'text':'word2','size':1}]],
[3,5,[{'text':'word3',size:5},{'text':'word4','size':4}]],
[1,4,[{'text':'word1',size:3},{'text':'word2','size':5},{'text':'word3','size':2}]],
[2,3,[{'text':'word2',size:1},{'text':'word3','size':5}]]];
After that, I changed the function draw: instead of appending a new div every time you hover a circle, it just change the div content:
div.append("svg")
.attr("width", 300)
.attr("height", 300)
.attr("class", "wordcloud")
.append("g")
But now comes the most important change:
You are displaying the wordcloud every time the user hover a circle, but you're calling the mouseover for the group element. That way, we cannot access the data bound to each specific circle.
Instead of that, we'll set a variable for the circles:
var circle = g.selectAll("scatter-dots")
.data(data)
.enter()
.append("svg:circle");
Thus, we can get the data for each hovered circle, which is the third element in the array:
circle.on('mouseover', function(d){
div.style("display", "block")
d3.select("krog").style("fill", "orange");
generate(d[2]);//here, d[2] is the third element in the data array
});
And we pass this third element (d[2]) to the function generate as a parameter named thisWords:
function generate(thisWords){
d3.layout.cloud().size([800, 300])
.words(thisWords)
.rotate(0)
.fontSize(function(d) { return d.size; })
.on("end", draw)
.start();
}
here is your fiddle: https://jsfiddle.net/jwrbps4j/
PS: you'll have to improve the translate for that words.
I'm building a grouped bar chart by nesting a .csv file. The chart will also be viewable as a line chart, so I want a nesting structure that suits the line object. My original .csv looks like this:
Month,Actual,Forecast,Budget
Jul-14,200000,-,74073.86651
Aug-14,198426.57,-,155530.2499
Sep-14,290681.62,-,220881.4631
Oct-14,362974.9,-,314506.6437
Nov-14,397662.09,-,382407.67
Dec-14,512434.27,-,442192.1932
Jan-15,511470.25,511470.25,495847.6137
Feb-15,-,536472.5467,520849.9105
Mar-15,-,612579.9047,596957.2684
Apr-15,-,680936.5086,465313.8723
May-15,-,755526.7173,739904.081
Jun-15,-,811512.772,895890.1357
and my nesting is like this:
d3.csv("data/net.csv", function(error, data) {
if (error) throw error;
var headers = d3.keys(data[0]).filter(function(head) {
return head != "Month";
});
data.forEach(function(d) {
d.month = parseDate(d.Month);
});
var categories = headers.map(function(name) {
return {
name: name, // "name": the csv headers except month
values: data.map(function(d) {
return {
date: d.month,
rate: +(d[name]),
};
}),
};
});
The code to build my chart is:
var bars = svg.selectAll(".barGroup")
.data(data) // Select nested data and append to new svg group elements
.enter()
.append("g")
.attr("class", "barGroup")
.attr("transform", function (d) { return "translate(" + xScale(d.month) + ",0)"; });
bars.selectAll("rect")
.data(categories)
.enter()
.append("rect")
.attr("width", barWidth)
.attr("x", function (d, i) { if (i < 2) {return 0;} else {return xScale.rangeBand() / 2;}})
.attr("y", function (d) { return yScale(d.rate); })
.attr("height", function (d) { return h - yScale(d.rate); })
.attr("class", function (d) { return lineClass(d.name); });
The g elements are fine and the individual bars are being mapped to them, with the x value and class applied correctly.
My problem comes in accessing the data for 'rate' for the height and y value of the bars. In the form above it gives a NaN. I've also tried using the category data to append g elements and then appending the rects with:
.data(function(d) { return d.values })
This allows me to access the rate data, but maps all 36 bars to each of the rangeBands.
It also works fine in a flatter data structure, but I can't seem to use it when it's nested two levels down, despite looking through a great many examples and SO questions.
How do I access the rate data?
In response to Cyril's request, here's the full code:
var margin = {top: 20, right: 18, bottom: 80, left: 50},
w = parseInt(d3.select("#bill").style("width")) - margin.left - margin.right,
h = parseInt(d3.select("#bill").style("height")) - margin.top - margin.bottom;
var customTimeFormat = d3.time.format.multi([
[".%L", function(d) { return d.getMilliseconds(); }],
[":%S", function(d) { return d.getSeconds(); }],
["%I:%M", function(d) { return d.getMinutes(); }],
["%I %p", function(d) { return d.getHours(); }],
["%a %d", function(d) { return d.getDay() && d.getDate() != 1; }],
["%b %d", function(d) { return d.getDate() != 1; }],
["%b", function(d) { return d.getMonth(); }],
["%Y", function() { return true; }]
]);
var parseDate = d3.time.format("%b-%y").parse;
var displayDate = d3.time.format("%b %Y");
var xScale = d3.scale.ordinal()
.rangeRoundBands([0, w], .1);
var xScale1 = d3.scale.linear()
.domain([0, 2]);
var yScale = d3.scale.linear()
.range([h, 0])
.nice();
var xAxis = d3.svg.axis()
.scale(xScale)
.tickFormat(customTimeFormat)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left")
.innerTickSize(-w)
.outerTickSize(0);
var svg = d3.select("#svgCont")
.attr("width", w + margin.left + margin.right)
.attr("height", h + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var thous = d3.format(",.0f")
var lineClass = d3.scale.ordinal().range(["actual", "forecast", "budget"]);
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function(d) {
return "<p id='date'>" + displayDate(d.date) + "</p><p id='value'>$" + thous(d.rate);
})
d3.csv("data/net.csv", function(error, data) {
if (error) throw error;
var headers = d3.keys(data[0]).filter(function(head) {
return head != "Month";
});
data.forEach(function(d) {
d.month = parseDate(d.Month);
});
var categories = headers.map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {
date: d.month,
rate: +(d[name]),
};
}),
};
});
var min = d3.min(categories, function(d) {
return d3.min(d.values, function(d) {
return d.rate;
});
});
var max = d3.max(categories, function(d) {
return d3.max(d.values, function(d) {
return d.rate;
});
});
var minY = min < 0 ? min * 1.2 : min * 0.8;
xScale.domain(data.map(function(d) { return d.month; }));
yScale.domain([minY, (max * 1.1)]);
var barWidth = headers.length > 2 ? xScale.rangeBand() / 2 : xScale.rangeBand() ;
svg.call(tip);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + h + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
var bars = svg.selectAll(".barGroup")
.data(data)
.enter()
.append("g")
.attr("class", "barGroup")
.attr("transform", function (d) { return "translate(" + xScale(d.month) + ",0)"; });
bars.selectAll("rect")
.data(categories)
.enter()
.append("rect")
.attr("width", barWidth)
.attr("x", function (d, i) { if (i < 2) {return 0;} else {return xScale.rangeBand() / 2;}})
.attr("y", function (d) { return yScale(d.rate); })
.attr("height", function (d) { return h - yScale(d.rate); })
.attr("class", function (d) { return lineClass(d.name) + " bar"; });
var legend = svg.selectAll(".legend")
.data(headers)
.enter()
.append("g")
.attr("class", "legend");
legend.append("line")
.attr("class", function(d) { return lineClass(d); })
.attr("x1", 0)
.attr("x2", 40)
.attr("y1", function(d, i) { return (h + 30) + (i *14); })
.attr("y2", function(d, i) { return (h + 30) + (i *14); });
legend.append("text")
.attr("x", 50)
.attr("y", function(d, i) { return (h + 32) + (i *14); })
.text(function(d) { return d; });
svg.selectAll(".bar")
.on('mouseover', tip.show)
.on('mouseout', tip.hide);
});
Update 18 Feb '16.
It seems I haven't explained what I was trying to do sufficiently well. The line and bar versions of the chart will be seen separately, i.e. users can see either one according to input to a select element. Also note that I don't have control over how the data comes in initially.
I have a version of exactly how it should work here.
This question was raised when I was still working through it, but I never solved the issue – I used a workaround of doing two separate nests of the data.
Link to jsfiddle:
https://jsfiddle.net/sladav/rLh4qwyf/1/
I think the root of the issue is that you want to use two variables that do not explicitly exist in your original data set: (1) Category and (2) Rate.
Your data is formatted in a wide format in that each category gets its own variable and the value for rate exists at the crossroads of month and one of the given categories. I think the way you're nesting ultimately is or at least should address this, but it is unclear to me if or where something gets lost in translation. Conceptually, I think it makes more sense to start with an organization that matches what you are trying to accomplish. I reformatted the original data and approached it again - on a conceptual level the nesting seems straightforward and simple...
NEW COLUMNS:
Month: Time Variable; mapped to X axis
Category: Categorical values [Actual, Forecast, Budget]; used to group/color
Rate: Numerical value; mapped to Y axis
Reorganized CSV (dropped NULLs):
Month,Category,Rate
Jul-14,Actual,200000
Aug-14,Actual,198426.57
Sep-14,Actual,290681.62
Oct-14,Actual,362974.9
Nov-14,Actual,397662.09
Dec-14,Actual,512434.27
Jan-15,Actual,511470.25
Jan-15,Forecast,511470.25
Feb-15,Forecast,536472.5467
Mar-15,Forecast,612579.9047
Apr-15,Forecast,680936.5086
May-15,Forecast,755526.7173
Jun-15,Forecast,811512.772
Jul-14,Budget,74073.86651
Aug-14,Budget,155530.2499
Sep-14,Budget,220881.4631
Oct-14,Budget,314506.6437
Nov-14,Budget,382407.67
Dec-14,Budget,442192.1932
Jan-15,Budget,495847.6137
Feb-15,Budget,520849.9105
Mar-15,Budget,596957.2684
Apr-15,Budget,465313.8723
May-15,Budget,739904.081
Jun-15,Budget,895890.1357
With your newly formatted data, you start by using d3.nest to GROUP your data explicitly with the CATEGORY variable. Now your data exists in two tiers. The first tier has three groups (one for each category). The second tier contains the RATE data for each line/set of bars. You have to nest your data selections as well - the first layer is used to draw the lines, the second layer for the bars.
Nesting your data:
var nestedData = d3.nest()
.key(function(d) { return d.Category;})
.entries(data)
Create svg groups for your grouped, 1st-tier data:
d3.select(".plot-space").selectAll(".g-category")
.data(nestedData)
.enter().append("g")
.attr("class", "g-category")
Use this data to add your lines/paths:
d3.selectAll(".g-category").append("path")
.attr("class", "line")
.attr("d", function(d){ return lineFunction(d.values);})
.style("stroke", function(d) {return color(d.key);})
Finally, "step into" 2nd-tier to add bars/rect:
d3.selectAll(".g-category").selectAll(".bars")
.data(function(d) {return d.values;})
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {return x(d.Month);})
.attr("y", function(d) {return y(d.Rate);})
.attr("width", 20)
.attr("height", function(d) {return height - y(d.Rate)})
.attr("fill", function(d) {return color(d.Category)})
This is a straightforward approach (to me at least), in that you take it one category at a time, using the grouped data to draw a line, then individual data points to draw the bars.
LAZY EDIT:
To get category bars side by side
Create ordinal scale mapping category to [1,nCategories]. Use this to dynamically offset bars with something like
translate( newScale(category)*barWidth )
To show either bars or lines (not both)
Create a function that selects bars/lines and transitions/toggles their visibility/opacity. Run when your drop-down input changes and with the drop-down input as input to the function.
The problem, I belive, is that you are binding the categories array to the bars selection, like this:
bars.selectAll("rect").data(categories)
As far as I can see (whithout a running demo) categories is an array with only four values (one for each category).
You have to go one step 'deeper' in your nested data structure.
To draw a set of bars for each category you would need to iterate over categories and bind the values array that contains the actual values to the selection.
Something like:
categories.each(function (category) {
var klass = category.name;
bars.selectAll("rect ." + klass)
.data(category.values)
.enter()
.append("rect")
.attr("class", klass)
.attr("width", barWidth)
.attr("x", function (d, i) { /* omitted */})
.attr("y", function (d) { return yScale(d.rate); })
.attr("height", function (d) { return h - yScale(d.rate); });
});
---- Edit
Instead of the above code, think about drawing the bars just like you do with the lines. Like this:
var bars = svg.selectAll(".barGroup")
.data(categories)
.enter()
.append("g")
.attr("class", function (d) { return lineClass(d.name) + "Bar barGroup"; })
.attr("transform", function (d, i) {
var x = i > 1 ? xScale.rangeBand() / 2 : 0;
return "translate(" + x + ",0)";
})
.selectAll('rect')
.data(function (d) { return d.values; })
.enter()
.append("rect")
.attr("class", "bar")
.attr("width", barWidth)
.attr("x", function (d, i) { return xScale(d.date); })
.attr("y", function (d, i) { return yScale(d.rate); })
.attr("height", function (d) { return h - yScale(d.rate); });