Bar chart in D3.js with AngularJS - angularjs

I have an error in d3 bar chart, when load on the web page
the error :
Error: Invalid value for <rect> attribute y="NaN" , Error: Invalid value for <rect> attribute height="NaN"
I tried to solve it by edit this code
nothing worked
var countriesData = data.countries;
var datac=[];
for (var key in countriesData) {
datac.push({key: key, value: countriesData[key]});
};
console.log(datac);
var width = 250;
var height = 250;
//console.log(data4);
//x and y Scales
var xScale = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var yScale = d3.scale.linear()
.range([height, 0]);
xScale.domain(datac.map(function(d) { return d.x; }));
yScale.domain([0, d3.max(datac, function(d) { return d.y; })]);
//x and y Axes
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom");
//.ticks();
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left");
//.ticks(function(d) { return d.x; });
//create svg container
var svg = d3.select("#barchart").select("svg").remove();
svg = d3.select("#barchart")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
//.transition().duration(2000)
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//create bars
svg.selectAll(".bar")
.data(datac)
.enter()
.append("rect")
.attr("class", "bar")
.attr("x", function(d) { return xScale(d.x); })
.attr("width", xScale.rangeBand())
.attr("y", function(d) { return yScale(d.y); })
.attr("height", function(d) { return height - yScale(d.y); });
//drawing the x axis on svg
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
//drawing the y axis on svg
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Reviews Number");
Please help!

Hard to say, but I'm guessing its the definition of the xScale:
xScale.domain(datac.map(function(d) { return d.x; }));
probably should be something like:
xScale.domain(d3.extent(datac, fucntion (d) {return d.x}))

Related

Make Axis line grey or reduce opacity

I want to make the axis lines either less opaque, or make them light grey. I tried to just do .style(opacity, 0.5), but it only makes the TICKS opaque, not the actual line itself. I want to make the ACTUAL LINE less opaque/light grey. I also tried adding the call(d3.axisLeft...).style(less opaque) approach but I still get nothing. How do I go about doing that?
import React, {Component, useRef, useEffect} from 'react';
import ExperienceScoresData from './experience_scores';
import * as d3 from "d3";
import { select, csv} from 'd3';
import { extent, max, min } from "d3-array";
ExperienceScoresData.map(function(val){
val.customerExperienceScore *= 100;
return 0;
})
class Linechart extends Component {
constructor(props){
super(props)
this.createBarChart = this.createBarChart.bind(this)
}
componentDidMount() {
this.createBarChart()
}
componentDidUpdate() {
this.createBarChart()
}
createBarChart() {
var margin = {top: 85, right: 60, bottom: 60, left: 80},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var node = this.node
var divObj = select(node)
var svgObj = divObj
.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("https://raw.githubusercontent.com/QamarFarooq/data-for-testing/main/5_OneCatSevNumOrdered.csv", function(data) {
// group the data: I want to draw one line per group
var sumstat = d3.nest() // nest function allows to group the calculation per level of a factor
.key(function(d) { return d.name;})
.entries(data);
//console.log(sumstat)
// Define the div for the tooltip
var tooltip = divObj
.append("div")
.attr("class","tooltip")
.style("position", "absolute")
.style("z-index", "10")
.style("visibility", "hidden")
.style("background-color", "white")
.style("border", "solid")
.style("border-width", "1px")
.style("border-radius", "5px")
.style("padding", "10px")
.text("I AM A TOOLTIP pakistan zindabad");
// Add title for linechart
svgObj.append("text")
.attr("text-anchor", "end")
.attr("font-size", 25)
.attr("x", 110)
.attr("y", -50)
.text("Online Ratings");
// Add X axis --> it is a date format
var x = d3.scaleLinear()
.domain(d3.extent(data, function(d) { return d.year; }))
.range([ 0, width ]);
svgObj.append("g")
.attr("transform", "translate(0," + height + ")")
.attr("stroke-width","0.3")
.style("opacity","0.5")
.call(d3.axisBottom(x).tickSize(-height).tickFormat('').ticks(5));
// ticks
svgObj.append("g")
.style("opacity","0.85")
.style("font", "14px times")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).ticks(5));
// Add Y axis
var y = d3.scaleLinear()
.domain([0, d3.max(data, function(d) { return +d.n; })])
.range([ height, 0 ]);
svgObj.append("g")
.attr("stroke-width","0.3")
.style("opacity","0.5")
.call(d3.axisLeft(y).tickSize(-width).tickFormat('').ticks(5));
// ticks
svgObj.append("g")
.style("opacity","0.85")
.style("font", "14px times")
.call(d3.axisLeft(y).ticks(5));
// Add X axis label:
svgObj.append("text")
.attr("text-anchor", "end")
.attr("font-size", 20)
.attr("x", width/2 + margin.left)
.attr("y", height + 50)
.style("fill", d3.color("grey"))
.text("Year Of Birth");
// Add Y axis label:
svgObj.append("text")
.attr("text-anchor", "end")
.attr("font-size", 20)
.attr("transform", "rotate(-90)")
.attr("x", -height/2 + 40)
.attr("y", -margin.left + 25)
.style("fill", d3.color("grey"))
.text("N-Value")
// color palette
var key = sumstat.map(function(d){ return d.key }) // list of group names
var color = d3.scaleOrdinal()
.domain(key)
.range(['#e41a1c','#377eb8','#4daf4a'])
// Add one DOT in the legend for each name.
svgObj.selectAll(".dots")
.data(key)
.enter()
.append("circle")
.attr("cx", function(d,i){ return 250 + i*120})
.attr("cy", -30)
.attr("r", 7)
.style("fill", function(d){ return color(d)})
// Add LABEL for legends of each dot.
svgObj.selectAll(".labels")
.data(key)
.enter()
.append("text")
.style("fill", d3.color("grey"))
.attr("x", function(d,i){ return 270 + i*120})
.attr("y", -28)
.text(function(d){ return d})
.attr("text-anchor", "left")
.style("alignment-baseline", "middle")
// Draw the line
svgObj.selectAll(".line")
.data(sumstat)
.enter()
.append("path")
.attr("fill", "none")
.attr("stroke", function(d){ return color(d.key) })
.attr("stroke-width", 4.5)
.attr("d", function(d){
return d3.line()
.curve(d3.curveMonotoneX)
.x(function(d) { return x(d.year); })
.y(function(d) { return y(+d.n); })
(d.values)
})
.on("mouseover", function(){return tooltip.style("visibility", "visible");})
.on("mousemove", function(){return tooltip.style("top", (d3.event.pageY-10)+"px").style("left",(d3.event.pageX+10)+"px");})
.on("mouseout", function(){return tooltip.style("visibility", "hidden");})
var dataUnpacked = sumstat.map( function(d){return d.values})
console.log(data)
// Draw dots on points
svgObj.selectAll(".lineChartDots")
.data(data)
.enter()
.append("circle")
.attr("class","lineChartDots")
.style("fill","white")
.style("stroke-width", "3px")
.style("stroke", function (d) { return color(d.name) })
.attr("cx", function(d) {return x(d.year); })
.attr("cy", function(d) {return y(d.n); })
.attr("r", 5.5)
})
}
render() {
return <div ref={node => this.node = node} className="example_div"> </div>
}
}
export default Linechart;
The following could change the axis line's opacity.
svg.append("g")
.style("opacity", 0.5)
.call(d3.axisLeft(y))
.call(g => { // manipulate the elements' attrs here
g.select("path")
.attr("opacity", 0.5)
});
I run your code and found that the above code actually worked but since there are two svg lines in the axis, both the axis path and the first background grid line, so you might feel the opacity wasn't changed. See jsfiddle here.
a simple demo:
<!DOCTYPE html>
<meta charset="utf-8">
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.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: 10, right: 30, bottom: 30, left: 60},
width = 460 - margin.left - margin.right,
height = 400 - 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("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/3_TwoNumOrdered_comma.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; }))
.range([ 0, width ]);
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; })])
.range([ height, 0 ]);
svg.append("g")
.style("opacity", 0.5)
.call(d3.axisLeft(y))
.call(g => {
g.select("path")
.attr("opacity", 0.5)
});
// Add the line
svg.append("path")
.datum(data)
.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) })
)
})
</script>

How to create a bar chart with custom string labels with d3 in angular?

I am using d3 in angular to create a bar chart of feelings from very bad (1) to very good (5) with the feelings as labels on the yAxis. I am running into an error: Argument of type '(d: any, i: any) => any' is not assignable to parameter of type 'string'. I've been able to use "any" to get around similar type errors, but it isn't working in this part: .tickFormat(function(d:any,i:any): any { return tickLabels[i] }) ;
interface Datum {
created_at: string,
decription: string,
feeling: string,
feeling_attachments: any,
feeling_in_number: number,
id: number,
tag_user_ids: string,
tags: any,
visibility: string
}
buildChart2(feels: Array<Datum>){
var feelsData = feels.reverse()
var margin = {top: 20, right: 30, bottom: 30, left: 40},
width = 800 - margin.left - margin.right,
height = 250 - margin.top - margin.bottom;
var ticks = [0,1,2,3,4,5];
var tickLabels = ['','very bad','bad','neutral','good','very good']
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], 0);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickValues(ticks)
.tickFormat(function(d:any,i:any): any { return tickLabels[i] }) ;
var chart = d3.select(".feelsChart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
y.domain([0, d3.max(feelsData, function(d: any): any { return d.feeling_in_number; })]);
var barWidth = width / feelsData.length;
var bar = chart.selectAll("g")
.data(feelsData)
.enter().append("g")
.attr("transform", function(d, i) { return "translate(" + i * barWidth + ",0)"; });
bar.append("rect")
.attr("y", function(d) { return y(d.feeling_in_number); })
.attr("height", function(d) { return height - y(d.feeling_in_number); })
.attr("width", barWidth - 1);
bar.append("text")
.attr("x", barWidth / 2)
.attr("y", function(d) { return y(d.feeling_in_number) + 3; })
.attr("dy", ".75em");
// .text(function(d) { return d.feeling_in_number; });
chart.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Frequency");
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
}
I've been trying to work off Mike Bostock's Let's Make A Bar Chart tutorial and a few other stack overflow questions about d3 in angular.
D3.JS change text in axis ticks to custom strings
It looks like you are trying to follow some guides that uses javascript with the older style of declaring functions. Typescript uses the newer ES6 syntax with arrow functions. So the function should be written like this in typescript:
.tickFormat((d:any, i:any): any => return tickLabels[i]);
You can read more about functions in typescript here

Elasticsearch- Nested Aggregations D3

I am trying to create D3 charts based on elasticsearch nested aggregation. While I can plot a chart based on the first aggregation, I am not sure why I cant plot a similar chart on the nested a subsequent aggregation. Can anyone suggest what I should do?
My code:
esClient.search({
index: 'vehicle',
body: {
query:{
match:{
_all:searchTerms
}
},
aggs: {
touchdowns: {
terms: {
field: "country",
size:5
},
aggs: {
corp: {
terms: {
field: "companyName",
size:5
}
}
},
}
},
sort: [sortObject],
from: resultsPage * 10,
}
}).then(function(es_return){
deferred.resolve(es_return);
//// Pie Chart first aggregation
var touchdowns = es_return.aggregations.touchdowns.buckets;
// d3 donut chart
var width = 600,
height = 300,
radius = Math.min(width, height) / 2;
var color = ['#ff7f0e', '#d62728', '#2ca02c', '#1f77b4'];
var arc = d3.svg.arc()
.outerRadius(radius - 60)
.innerRadius(120);
var pie = d3.layout.pie()
.sort(null)
.value(function (d) { return d.doc_count; });
var svg = d3.select("#donut-chart").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width/1.4 + "," + height/2 + ")");
var g = svg.selectAll(".arc")
.data(pie(touchdowns))
.enter()
.append("g")
.attr("class", "arc");
g.append("path")
.attr("d", arc)
.style("fill", function (d, i) { return color[i]; });
g.append("text")
.attr("transform", function (d) { return "translate(" + arc.centroid(d) + ")"; })
.attr("dy", ".35em")
.style("text-anchor", "middle")
.style("fill", "white")
.text(function (d) { return d.data.key; });
//// Pie Chart
var touchdowns = es_return.aggregations.touchdowns.buckets.corp.buckets;
// d3 donut chart
var width = 600,
height = 300,
radius = Math.min(width, height) / 2;
var color = ['#ff7f0e', '#d62728', '#2ca02c', '#1f77b4'];
var arc = d3.svg.arc()
.outerRadius(radius - 60)
.innerRadius(120);
var pie = d3.layout.pie()
.sort(null)
.value(function (d) { return d.doc_count; });
var svg = d3.select("#donut-chart").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width/1.4 + "," + height/2 + ")");
var g = svg.selectAll(".arc")
.data(pie(touchdowns))
.enter()
.append("g")
.attr("class", "arc");
g.append("path")
.attr("d", arc)
.style("fill", function (d, i) { return color[i]; });
g.append("text")
.attr("transform", function (d) { return "translate(" + arc.centroid(d) + ")"; })
.attr("dy", ".35em")
.style("text-anchor", "middle")
.style("fill", "white")
.text(function (d) { return d.assignee.key; });
}, function(error){
deferred.reject(error);
});
return deferred.promise;};

Updating D3 histogram as data comes in

SO community,
I'm making a D3 histogram as an Angular directive and I want it to be able to change/update accordingly as the data it reads in changes. In other words, I am using Angular to watch the changes in data and (hope to) redraw the histogram every time the data is changed.
This might mostly be a question about D3's updating and binding of data because the $watchCollection seems to work fine. Even though I have went through this tutorial on adding elements to a d3 chart, I still cannot apply it on my histogram. I think the way the elements in my histogram are nested is really confusing me...
Context: Ideally this histogram will read from an array to which data returned from several Ajax calls will get stored in. So every time a new set of data arrive, the histogram will grow itself another bar. That's why I would love to know how to update the chart as well as the x-axis properly.
Thank you! :)
The JS fiddle is here: http://jsfiddle.net/santina/wrtenjny/1/
Code for just the d3 part is here, largely taken from mbostock's sortable bar chart.
// Aesthetic settings
var margin = {top: 20, right: 50, bottom: 20, left: 50},
width = document.getElementById('performance').clientWidth - margin.left - margin.right ||
940 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
barColor = "steelblue",
axisColor = "whitesmoke",
axisLabelColor = "grey",
yText = "# QUERIES",
xText = "BEACON IDs";
// Inputs to the d3 graph
var data = scope[attrs.data];
// A formatter for counts.
var formatCount = d3.format(",.0f");
// Set the scale, separate the first bar by a bar width from y-axis
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1, 1);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(formatCount);
// Initialize histogram
var svg = d3.select(".histogram-chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
function drawAxis(){
data.forEach(function(d) {
d.nqueries = +d.nqueries;
});
x.domain(data.map(function(d) { return d.name; }));
y.domain([0, d3.max(data, function(d) { return d.nqueries; })]);
// Draw x-axis
svg.append("g")
.attr("class", "x-axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("y", 6)
.attr("dy", "-0.71em")
.attr("x", width )
.style("text-anchor", "end")
.style("fill", axisLabelColor)
.text(xText);
// Draw y-axis
svg.append("g")
.attr("class", "y-axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style("fill", axisLabelColor)
.text(yText);
// Change axis color
d3.selectAll("path").attr("fill", axisColor);
}
function updateAxis(){
console.log(data);
data.forEach(function(d) {
d.nqueries = +d.nqueries;
});
x.domain(data.map(function(d) { return d.name; }));
y.domain([0, d3.max(data, function(d) { return d.nqueries; })]);
svg.selectAll("g.y_axis").call(yAxis);
svg.selectAll("g.x_axis").call(xAxis);
}
function drawHistogram(){
drawAxis();
var bar = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "barInfo");
bar.append("rect")
.attr("class", "bar")
.attr("x", function(d){ return x(d.name) })
.attr("width", x.rangeBand())
.attr("y", function(d){ return y(d.nqueries) })
.attr("height", function(d) { return height - y(d.nqueries); })
.attr("fill", barColor);
bar.append("text")
.attr("y", function(d){ return y(d.nqueries) })
.attr("x", function(d){ return x(d.name) })
.attr("dy", "-1px")
.attr("dx", x.rangeBand()/2 )
.attr("text-anchor", "middle")
.attr("class", "numberLabel")
.text(function(d) { return formatCount(d.nqueries); });
}
// Doesn't work :(
function updateHistogram(){
console.log("updating");
// Redefine scale and update axis
updateAxis();
// Select
var bar = svg.selectAll(".barInfo").data(data);
// Update - rect
var rects = bar.selectAll("rect")
.attr("class", "bar")
.attr("x", function(d){ return x(d.name) })
.attr("width", x.rangeBand());
// Update
var texts = bar.selectAll("text")
.attr("x", function(d){ return x(d.name) })
.attr("dx", x.rangeBand()/2 );
// Enter
bar.enter().append("g")
.attr("class", "bar").selectAll("rect").append("rect")
.attr("class", "bar")
.attr("x", function(d){ return x(d.name) })
.attr("width", x.rangeBand())
.attr("y", function(d){ return y(d.nqueries) })
.attr("height", function(d) { return height - y(d.nqueries); })
.attr("fill", barColor);
bar.enter().append("g")
.attr("class", "bar").selectAll("text").append("text")
.attr("y", function(d){ return y(d.nqueries) })
.attr("x", function(d){ return x(d.name) })
.attr("dy", "-1px")
.attr("dx", x.rangeBand()/2 )
.attr("text-anchor", "middle")
.attr("class", "numberLabel")
.text(function(d) { return formatCount(d.nqueries); });
}
drawHistogram();
First, you got the wrong class selector when you update your axis:
svg.selectAll("g.y-axis").call(yAxis); //<-- dash not underscore
svg.selectAll("g.x-axis").call(xAxis);
Second, you were close on your update, but we can clean it up a bit:
// select on what you originally binded data to
var bar = svg.selectAll(".barInfo").data(data);
// for data entering
var bEnter = bar.enter().append("g")
.attr("class", "barInfo");
// append a rect
bEnter.append("rect")
.attr("class", "bar");
// and the text elements
bEnter.append("text")
.attr("class","numberLabel");
// now we can update everybody together
bar.select("rect")
.attr("x", function(d){ return x(d.name) })
.attr("width", x.rangeBand())
.attr("y", function(d){ return y(d.nqueries) })
.attr("height", function(d) { return height - y(d.nqueries); })
.attr("fill", barColor);
bar.select("text")
.attr("y", function(d){ return y(d.nqueries) })
.attr("x", function(d){ return x(d.name) })
.attr("dy", "-1px")
.attr("dx", x.rangeBand()/2 )
.attr("text-anchor", "middle")
.attr("class", "numberLabel")
.text(function(d) { return formatCount(d.nqueries); });
Udpated example here.
EDITS
Opps, I'm not selecting correctly on my updates.
bar.selectAll("rect")
Should be:
bar.select("rect")
This fixes both the updates and the sorting...
Updated fiddle.
Also notice that I collapsed your code further. With your angular watch you really don't need a seperate draw and update function, one can do both.

Redrawing bar graph in d3.js when data changes

I am developing bar graph using d3.js integrating with Angularjs. The angular directive code I am using is given below . My problem is ,in my real application , the bar graph is not redrawing but its axis changes when data associated with the bar graph changes
mainApp.directive('ngDatenobargraph', function() {
return {
restrict: 'AE',
scope: {
data: '='
},
link: function (scope, element) {
var margin = {top: 10, right: 10, bottom: 40, left: 60},
width = 410 - margin.left - margin.right,
height = 230 - margin.top - margin.bottom;
var chart = d3.select(element[0])
.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 x = d3.scale.ordinal().rangeRoundBands([0, width], .1);
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function(d) {
return "<span style='font-size: 13px'>Date:&nbsp</span><span style='color:red;font-size: 13px'>" + d.xValue+ "</span><br>"+
"<span style='font-size: 13px'>Net Value:&nbsp</span><span style='color:red;font-size: 13px'>" + d.yValue+ "</span><br>"+
"<span style='font-size: 13px'>Buy Value:&nbsp</span><span style='color:red;font-size: 13px'>" + d.buyValue+ "</span><br>"+
"<span style='font-size: 13px'>Sell Value:&nbsp</span><span style='color:red;font-size: 13px'>" + d.sellValue+ "</span>";
});
chart.call(tip);
//Render graph based on 'data'
scope.render = function(data) {
if(data) {
var y = d3.scale.linear()
.range([height, 0])
.domain(d3.extent(data, function(d) { return d.yValue; }))
.nice();
var xAxis = d3.svg.axis().scale(x).orient("bottom");
var yAxis = d3.svg.axis().scale(y).orient("left").ticks(7);
x.domain(data.map(function(d) { return d.xValue; }));
//Redraw the axes
chart.selectAll('g.axis').remove();
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + (height) + ")")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", function(d) {
return "rotate(-20)";
});
chart.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0-margin.left)
.attr("x",0-(height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Net Value");
chart.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", function(d) { return d.yValue < 0 ? "bar negative" : "bar positive"; })
.attr("x", function(d) { return x(d.xValue); })
.attr("y", height)
.attr("height", 0)
.on('mouseover', tip.show)
.on('mouseout', tip.hide)
.transition().duration(2000)
.attr("y", function(d) {return y(Math.max(0, d.yValue)); })
.attr("height", function(d) {return Math.abs(y(d.yValue) - y(0)); })
// .attr("width", x.rangeBand());
.attr("width", Math.min.apply(null, [x.rangeBand()-2, 100]));
}
};
scope.$watch('data', function() {
scope.render(scope.data);
}, true);
}
};
});
I am new to d3.js . If any have solution please help me .The code in application is given http://jsfiddle.net/HB7LU/9000/

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