How to improve this data-visualisation? - javascript

I have a d3.js plot that I want to improve it but I can't figure out how to do it!
This is my plot:
Mainly I am trying to change axis and add a little legend so I can get something like this (with x and y zeros centered in the plot ):
This is how I define x and y axis in my d3.js/JavaScript code
var xScale = d3.scale.linear().domain([d3.min(dataset, function(d) { return d[0]; }), d3.max(dataset, function(d) { return d[0]; })]).range([padding, w - padding]);
var yScale = d3.scale.linear().domain([d3.min(dataset, function(d) { return d[1]; }), d3.max(dataset, function(d) { return d[1]; })]).range([h - padding, padding]);
// Create axis
var xAxis = d3.svg.axis().scale(xScale).orient("bottom").ticks(5);
//Define Y axis
var yAxis = d3.svg.axis().scale(yScale).orient("left").ticks(5);
//Create SVG element
var svg = d3.select("#mydiv").append("svg").attr("width", w).attr("height", h);
svg.append("g").attr("class", "axis").attr("transform", "translate(0," + (h - padding) + ")").call(xAxis);
svg.append("g").attr("class", "axis").attr("transform", "translate(" + padding + ",0)").call(yAxis);
Thanks in advance:

If you provide your actual dataset I can give you more exact code for your case, without it the best we can really do is give you examples from the docs.
How to create a legend:
// draw legend
var legend = svg.selectAll(".legend")
.data(color.domain())
.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);
// 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;})
How to hardcode max/min on your axes:
var yScale = d3.scale.linear().domain([0,6]).range([h - padding, padding]);
How to add gridlines:
var yAxisGrid = yAxis
.tickSize(width, 0)
.tickFormat("")
.orient("right")
var xAxisGrid = xAxis
.tickSize(-height, 0)
.tickFormat("")
.orient("top")
svg.append("g")
.classed('y', true)
.classed('axis', true)
.call(yAxisGrid)
svg.append("g")
.classed('x', true)
.classed('axis', true)
.call(xAxisGrid)

Related

D3 chart: While using d3.axisLeft(y) method, how do I prevent Y-Axis grid-lines from using the entire chart width

First of all, I apologize for such a long post and my absolute beginner knowledge about D3 framework.
I have managed to draw the following chart using D3 framework.
However, I am not been able to accomplish the following things:
1) Cannot draw Y-Axis vertical sideline
2) Cannot make the Y-Axis ticks to align centered. At the moment they all are left-aligned
3) Cannot make the color of X-Axis baseline same as Y-Axis gridlines
4) Cannot make the label "Growth Target (7)" center-aligned Right now it is left-aligned
1) Y-Axis Vertical Sideline:
The text Growth Target (7) is within the chart. In order to make the gridlines to stop before this, I have used this (approach 1)
// ******************* << Custom Y axis grid lines Begins
var yGrid = svg.selectAll(".hgrid")
.data(yTicks)
.enter()
.append("g")
.attr("transform", function(d){
return "translate(0, " + y(d) + ")"
});
yGrid.append("line")
.attr("class", "hgrid")
.attr("x1", 0)
// shorten growth target line width to give room for the label
.attr("x2", width - growth_target_width_adjusted);
yGrid.append("text")
.text(function(d){return d; })
.attr("class", "hgrid-label")
// update X and Y positions of the label
.attr("x", -15)
.attr("y", "0.3em");
d3.selectAll(".hgrid-label")
.each(function (d, i) {
d3.select(this).style("font-size", 13);
});
// ******************* Custom Y axis grid lines Ends >>
Rather than this (approach 2):
// gridlines in y axis function
function draw_yAxis_gridlines() {
return d3.axisLeft(y)
.tickValues(yTicks);
}
// add the Y grid lines
svg.append("g")
.attr("class", "grid axis yAxis")
.call(draw_yAxis_gridlines()
.tickSize(-width)
);
The above approach 2, however, creates the Y-Axis baseline but the gridlines are using the entire chart area and overlapping the text "Growth Target (7)".
Is there any way that I can control the width of each Y-Axis line using approach 2? If not, how can I draw the Y-Axis baseline using approach 1?
2) Y-Axis ticks to align center
Currently, the Y-Axis tick values (0, 5, 10...) are left-aligned. Is there a way to make them centered?
3) Color of X-Axis baseline same as Y-Axis gridlines
In my chart above, the X-Axis color is black while the gridline colors are light gray. I need to make the X-Axis color light gray as well. What is the right way to do this?
4) Center aligning the label "Growth Target (7)"
What is the right way to make the two lines of the label centered-aligned? Right now the lines are aligned left to each other.
The desired output needs to be like this:
Here is the complete chart script that I have now:
function barColor(data_month, current_month) {
if( parseInt(data_month) >= current_month)
return "#008600";
else
return "#c4c4c4";
}
function draw_gp_chart(data_str) {
var chart_container = jQuery("#ecbg_unitary");
jQuery(chart_container).html("");
var w = parseInt(jQuery(chart_container).width());
var h = 375;
var barPadding = 2;
// set the dimensions and margins of the graph
var margin = {top: 30, right: 20, bottom: 30, left: 40};
var width = w - margin.left - margin.right;
var height = h - margin.top - margin.bottom;
var growth_target_width_adjusted = margin.left + margin.right;
var svg = d3.select("#ecbg_unitary")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + ", 10)");
var data = data_str;
// set the ranges (less width of chart to allow room for Growth Target label)
var x = d3.scaleBand().range([0, width - growth_target_width_adjusted]).padding(0.2);
var y = d3.scaleLinear().range([height, 0]);
// Scale the range of the data in the domains
x.domain(data.map(function (d) {
return d.month;
}));
var y_domain_upperBound = d3.max(data, function (d) {
return d.points;
});
y_domain_upperBound = Math.round(y_domain_upperBound / 10) * 10 + 10;
y.domain([0, y_domain_upperBound]);
// Create Y-Axis tick array to draw grid lines
var yTicks = [];
var tickInterval = 5;
for (var i = 0; i <= y_domain_upperBound; i = i + tickInterval) {
yTicks.push(i);
}
// gridlines in y axis function
function draw_yAxis_gridlines() {
return d3.axisLeft(y)
.tickValues(yTicks);
}
// ******************* << Growth Target line Begins
var targetGoalArr = [parseInt(jQuery("#ecbg_unitary_growth_target").val())];
var target = svg.selectAll(".targetgoal")
.data(targetGoalArr)
.enter()
.append("g")
.attr("transform", function(d){
return "translate(0, " + y(d) + ")"
});
target.append("line")
.attr("class", "targetgoal")
.attr("x1", 0)
// shorten growth target line width to give room for the label
.attr("x2", width - growth_target_width_adjusted);
// Adding two SVG text elements since SVG text element does not support text-wrapping.
// ref: https://stackoverflow.com/a/13254862/1496518
// Option 2: may be tried later - https://bl.ocks.org/mbostock/7555321
// Text element 1
target.append("text")
.text(function(d){return "Growth " })
.attr("class", "tglebal")
// update X position of the label
.attr("x", width - growth_target_width_adjusted + 5)
.attr("y", "-0.3em");
// Text element 2
target.append("text")
.text(function(d){return "Target (" + d + ")" })
.attr("class", "tglebal")
// update X position of the label
.attr("x", width - growth_target_width_adjusted + 5)
.attr("y", "1em");
d3.selectAll(".tglebal")
.each(function (d, i) {
d3.select(this).style("font-size", 12);
});
// ******************* Growth Target line Ends >>
// ******************* << Custom Y axis grid lines Begins
var yGrid = svg.selectAll(".hgrid")
.data(yTicks)
.enter()
.append("g")
.attr("transform", function(d){
return "translate(0, " + y(d) + ")"
});
yGrid.append("line")
.attr("class", "hgrid")
.attr("x1", 0)
// shorten growth target line width to give room for the label
.attr("x2", width - growth_target_width_adjusted);
yGrid.append("text")
.text(function(d){return d; })
.attr("class", "hgrid-label")
// update X and Y positions of the label
.attr("x", -15)
.attr("y", "0.3em");
d3.selectAll(".hgrid-label")
.each(function (d, i) {
d3.select(this).style("font-size", 13);
});
// ******************* Custom Y axis grid lines Ends >>
// append the rectangles for the bar chart
svg.selectAll("rect")
.data(data)
.enter().append("rect")
.attr("x", function (d) {
return x(d.month);
})
.attr("width", x.bandwidth())
.attr("y", function (d) {
return y(d.points);
})
.attr("height", function (d) {
return height - y(d.points);
})
//.attr("height", function(d) {return d.points;})
.attr("fill", function (d) {
return barColor(d.data_month_number, d.current_month_number)
});
// column labels
svg.selectAll(".colvalue")
.data(data)
.enter()
.append("text")
.attr("class", "colvalue")
.text(function (d) {
return d.points;
})
.attr("text-anchor", "middle")
.attr("x", function (d, i) {
return x(d.month) + x.bandwidth() / 2;
})
//.attr("x", function(d) { return x(d.month); })
.attr("y", function (d) {
//return h - (d.points * 4) - 10;
return y(d.points) - 10;
})
.attr("font-family", "Roboto")
.attr("font-size", "13px")
.attr("font-weight", "bold")
.attr("fill", "#606668");
// add the x Axis
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// text label (axis name) for the x axis
var xAxisNameHeightFromTop = height + margin.bottom + 20;
svg.append("g")
.attr("class", "x-axis-name")
.append("text")
.attr("transform", "translate(" + width / 2 + ", " + xAxisNameHeightFromTop + ")")
.style("text-anchor", "middle")
.text("MONTH");
// text label for the y axis
svg.append("g")
.attr("class", "y-axis-name")
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("SALES UNITS");
// add the Y grid lines
/*svg.append("g")
.attr("class", "grid axis yAxis")
.call(draw_yAxis_gridlines()
.tickSize(-width)
);*/
d3.selectAll(".yAxis>.tick>text")
.each(function (d, i) {
d3.select(this).style("font-size", 13);
});
}

How to scale y-Axis in d3.js according to data input correctly

I created a small Barchart. My problem is that the y-axis doesn't scale according to my dataset. Here is a screenshot:
So as you can see the 313 is a little bit above the 800 scale. I would like the 300 to be at the 300. I tweaked with the scalings but I just end up messing it up completely. I am very new to D3.js so I hope someone can help.
Here is my code:
var svgWidth = 1000, svgHeight = 800;
var barWidth = svgWidth / month_description.length;
var barPadding = 5;
var svg = d3.select('svg')
.attr("width", svgWidth)
.attr("height", svgHeight);
var barChart = svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("y", function(d) {
return svgHeight - d - 20
})
.attr("x", function(d, i) {
return i + 10;
})
.attr("height", function(d) {
return d;
})
.attr("width", barWidth - barPadding)
.attr("class", "bar")
.attr("transform", function (d, i) {
var translate = [barWidth * i, 0];
return "translate("+ translate +")";
});
var text = svg.selectAll("text")
.data(data)
.enter()
.append("text")
.text(function(d) {
return d;
})
.attr("y", function(d, i) {
return svgHeight - 20;
})
.attr("x", function(d, i) {
return barWidth * i + 35;
})
.attr("fill", "white");
var xScale = d3.scaleLinear()
.domain([0, d3.max(month_description)])
.range([0, svgWidth]);
var yScale = d3.scaleLinear()
.domain([0, d3.max(data)])
.range([svgHeight, 0]);
var x_axis = d3.axisBottom()
.scale(xScale);
var y_axis = d3.axisLeft()
.scale(yScale);
svg.append("g")
.attr("transform", "translate(50, 10)")
.call(y_axis);
var xAxisTranslate = svgHeight - 20;
svg.append("g")
.attr("transform", "translate(50, " + xAxisTranslate +")")
.call(x_axis);
Help is very much appreciated. Thanks very much in advance!!

How to move the x axis to the bottom of a svg

I am trying to create a barplot using javascript. I have created a barplot, but want to add two axis. Currently stuck on the x-axis.
I am unable to move my x-axis to the bottom of my barplot. I am Using d3 to tailor the svg. I am currently able to showcase it at the top, but want to show it at the bottom.
Any input would be useful!
My attempts thus far have been to use transform, but when I execute this my axis disappears.
Googled several other solutions, none of them being successful.
Code:
<script>
d3.json("data_week3.json", function(data){
var data_renewables = [];
var data_nations = [];
for (i = 0; i < data.length; i++)
{
data_renewables.push(data[i].Renewable);
data_nations.push(data[i].Nation)
}
var width = 1000,
height = 500;
var y = d3.scale.linear()
.domain([0, d3.max(data_renewables)])
.range([height, 0]);
var chart = d3.select(".chart")
.attr("width", width)
.attr("height", height);
var barWidth = width / data_renewables.length;
var bar = chart.selectAll("g")
.data(data_renewables)
.enter().append("g")
.attr("transform", function(d, i) { return "translate(" + i * barWidth + ",0)"; });
bar.append("rect")
.attr("y", function(d) { return y(d); })
.attr("height", function(d) { return height - y(d); })
.attr("width", barWidth - 1);
bar.append("text")
.attr("x", barWidth / 2)
.attr("y", function(d) { return y(d); + 3; })
.attr("dy", ".75em")
.text(function(d) { return d; });
var axisScale = d3.scale.linear()
.domain([0, 30])
.range([0, 1000]);
var xAxis = d3.svg.axis()
.scale(axisScale)
.orient("bottom");
chart.append("g")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
})
</script>
You're giving the chart a height of height and then your transform is moving the top of the x axis by a value of height so it will always be cut off. I suggest you look at the margin convention: https://bl.ocks.org/mbostock/3019563

Plotting a Histogram in D3 without knowing number of bins

I'm trying to create a function that creates a histogram for a given array. Clearly, there's no data for the X-Axis and I have to choose the bins arbitrarily. What would be the best way to do so?
My code:
var width = 700, height = 500, pad = 30, barPadding = 1;
function plotHistogram(element, dataset) {
var svg = d3.select(element)
.append("svg")
.attr("width", width)
.attr("height", height)
var bars = svg.append("g")
// Container box
var rectangle = svg.append("rect")
.attr("height", height)
.attr("width", width)
.attr("stroke-width", 2).attr("stroke", "#ccc")
.attr("fill", "transparent")
var xScale = d3.scaleLinear()
// Using default domain (0 - 1)
.range([pad, width - pad * 2])
var yScale = d3.scaleLinear()
.domain([0, d3.max(dataset, function(d) { return d; })])
.range([height - pad, pad])
var xAxis = d3.axisBottom(xScale)
var yAxis = d3.axisLeft(yScale)
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + (height - pad) + ")")
.call(xAxis)
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(" + pad +", 0)")
.call(yAxis)
svg.selectAll("bars")
.data(dataset)
.enter()
.append("rect")
// Evenly spacing out bars
.attr("x", function(d, i) { return i * width/dataset.length; })
// Top of each bar as the top of svg. To remove inverted bar graph.
.attr("y", function(d) { return height - (d * 4); })
// To give padding between bars
.attr("width", width / dataset.length - barPadding)
// To make the bars taller
.attr("height", function(d) { return d * 4; })
.attr("fill", "teal");
}
// #normal is the id of the div element.
plotHistogram("#normal", [10, 20, 30, 40, 50, 60, 70, 80]);
Edit 1: I have decided to use the default bin size (0 - 1) for the xScale above. I'm facing problems creating the bars.
Generate the bins as in https://bl.ocks.org/mbostock/3048450
The array in your plotHistogram is like the array data in #mbostock's bl.ock...
HTH

d3 Reusable histogram

I've been trying to implement Reusability on a histogram plotted using d3.
I want that after plotting of the dataset, I want to plot statistical mean, variance etc. on the same plot.These would be user driven, basically I want to use the same plot.
Here's my attempt on coding the skeleton histogram code
function histogram(){
//Defaults
var margin = {top: 20, right: 20, bottom: 20, left: 20},
width = 760,
height = 200;
function chart(selection){
selection.each(function(d,i){
var x = d3.scale.linear()
.domain( d3.extent(d) )
.range( [0, width] );
var data = d3.layout.histogram()
//Currently generates 20 equally spaced bars
.bins(x.ticks(20))
(d);
var y = d3.scale.linear()
.domain([0, d3.max(d) ])
.range([ height - margin.top - margin.bottom, 0 ]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var svg = d3.select(this).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 + ")");
var bar = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "bar");
/*
Corrected bars
bar.append("text")
.attr("dy", ".75em")
.attr("y", 6)
.attr("x", x(data[0].dx) / 2)
.attr("text-anchor", "middle")
.text(function(d) { return formatCount(d.y); });
*/
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class","y axis")
.call(yAxis);
bar.append("rect")
.attr("x", function(d,i){ return x(d.x); })
.attr("width", x(data[0].dx) - 1)
.attr('y',height)
.transition()
.delay( function(d,i){ return i*50; } )
.attr('y',function(d){ return y(d.y) })
.attr("height", function(d) { return height - y(d.y); });
});
}
//Accessors//
chart.width = function(value) {
if (!arguments.length) return width;
width = value;
return chart;
};
chart.height = function(value) {
if (!arguments.length) return height;
height = value;
return chart;
};
return chart;
}
It's assigning a negative width for bars. My input dataset would simply be an array of numbers and I need to plot the frequency distribution
If you're asking how to implement the avg, standard deviation, once you have your histogram you can draw lines and text on it to represent the avg. I would calculate which bar the average is in, and the % of the way through the bar and then something like this:
var averageBar = vis.selectAll("g.bar:nth-child(" + (averageBarIndex + 1) + ")");
averageBar.append("svg:line")
.attr("x1", 0)
.attr("y1", y.rangeBand()*averageBarPercentage)
.attr("x2", w)
.attr("y2", y.rangeBand() * averageBarPercentage)
.style("stroke", "black");
averageBar.append("svg:text")
.attr("x", w-150)
.attr("y", y.rangeBand() * averageBarPercentage-15)
.attr("dx", -6)
.attr("dy", "10px")
.attr("text-anchor", "end")
.text("Average");
That will give you a line marking the average, you can do similar for the standard deviation.

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