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Home > Data > Data Visualization > Learning jqPlot
Learning jqPlot
Learning jqPlot

Learning jqPlot: Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot

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Learning jqPlot

Chapter 2. More Line Charts, Area Charts, and Scatter Plots

In the previous chapter, we reviewed the parts of a chart and began creating line charts. We manually created data arrays and passed them into our jqPlot objects. In this chapter, we'll learn how to import data from remote sources. We will discuss what area charts, stacked area charts, and scatter plots are. Then we will learn how to implement these newly learned charts. We will also learn about trend lines. The following list details the topics covered in this chapter:

  • Learn how to work with remote data sources
  • Fill the area between two lines to denote expenses
  • Learn about area charts and stacked area charts and how they differ
  • Create an area chart showing profits by division
  • Create a stacked area chart showing revenue by division
  • Learn what trend lines are and how to implement them
  • Discuss how scatterplot charts are different from line charts
  • Create a scatterplot looking for a correlation between shares on Twitter and...

Working with remote data sources

We return from lunch and decide to start on our line chart showing social media conversions. With this chart, we want to pull the data in from other sources. You start to look for some internal data sources, coming across one that returns the data as an object. We can see an excerpt of data returned by the data source. We will need to parse the object and create data arrays for jqPlot:

{ "twitter":[ ["2012-11-01",289],...["2012-11-30",225] ],
  "facebook":[ ["2012-11-01",27],...["2012-11-30",48] ] }
  1. We solve this issue using a data renderer to pull our data and then format it properly for jqPlot. We can pass a function as a variable to jqPlot and when it is time to render the data, it will call this new function. We start by creating the function to receive our data and then format it. We name it remoteDataSource. jqPlot will pass the following three parameters to our function:
    • url: This is the URL...

Adding a fill between two lines

We talk through Calvin's comments. Adding in expenses won't be too much of an issue. We could simply add the expense line to one of our existing reports but that will likely not be what they want. Visually, the gap on our chart between profit and revenue should be the total amount of expenses. You mention that we could fill in the gap between the two lines. We decide to give this a try:

  1. We leave the plugins and the data arrays alone. We pass an empty array into our data array as a placeholder for our expenses. Next, we update our title. After this, we add a new series object and label it Expenses:
    ...
    var rev_profit = $.jqplot ('revPrfChart', [revenue, profit, []],
    {
      title:'Monthly Revenue & Profit with Highlighted Expenses',
      series:[ { label: 'Revenue' }, { label: 'Profit' }, { label: 'Expenses' } ],
      legend: { show: true, placement: 'outsideGrid' },
  2. To fill in...

Understanding area and stacked area charts

Area charts come in two varieties. The default type of area chart is simply a modification of a line chart. Everything from the data point on the y axis all the way to zero is shaded. In the event your numbers are negative, then the data above the line up to zero is shaded in. Each data series you have is laid upon the others. Area charts are best to use when we want to compare similar elements, for example, sales by each division in our company or revenue among product categories.

The other variation of an area chart is the stacked area chart. The chart starts off being built in the same way as a normal area chart. The first line is plotted and shaded below the line to zero. The difference occurs with the remaining lines. We simply stack them. To understand what happens, consider this analogy.

Each shaded line represents a wall built to the height given in the data series. Instead of building one wall behind another, we stack them on top of each...

Creating an area chart

We grab the quarterly report with the divisional profits we created this morning. We will extend the data to a year and plot the divisional profits as an area chart:

  1. We remove the data arrays for revenue and the overall profit array. We also add data to the three arrays containing the divisional profits:
    <script src="../js/jqplot.dateAxisRenderer.min.js"></script>
<script>
$(document).ready(function(){
  var electronics = [["2011-11-20", 123487.87], ...];
  var media = [["2011-11-20", 66449.15], ...];
  var nerd_corral = [["2011-11-20", 2112.55], ...];

  var div_profit = $.jqplot ('division_profit', [media, nerd_corral, electronics],
  {
    title:'12 Month Divisional Profits',
  2. Under seriesDefaults, we assign true to fill and fillToZero. Without setting fillToZero to true, the fill would continue to the bottom of the chart. With the option set, the fill will extend downward to zero on the...

Creating a stacked area chart with revenue

Calvin stops by while we're taking a break. "Hey guys, I had a VP call and they want to see revenue broken down by division. Can we do that?" We tell him we can. "Great" he says, before turning away and leaving. We discuss this new request and realize this would be a great chance to use a stacked area chart.

We dig around and find the divisional revenue numbers Calvin wanted. We can reuse the chart we just created and just change out the data and some options.

  1. We use the same variable names for our divisional data and plug in revenue numbers instead of profit. We use a new variable name for our chart object and a new id attribute for our div. We update our title and add the stackSeries option and set it to true:
      var div_revenue = $.jqplot ('division_revenue', [electronics, media, nerd_corral],
  {
    title:'12 Month Divisional Revenue',
    stackSeries: true,
  2. We leave our series' options alone and...

Working with remote data sources

We return from lunch and decide to start on our line chart showing social media conversions. With this chart, we want to pull the data in from other sources. You start to look for some internal data sources, coming across one that returns the data as an object. We can see an excerpt of data returned by the data source. We will need to parse the object and create data arrays for jqPlot:

{ "twitter":[ ["2012-11-01",289],...["2012-11-30",225] ],
  "facebook":[ ["2012-11-01",27],...["2012-11-30",48] ] }

  1. We solve this issue using a data renderer to pull our data and then format it properly for jqPlot. We can pass a function as a variable to jqPlot and when it is time to render the data, it will call this new function. We start by creating the function to receive our data and then format it. We name it remoteDataSource. jqPlot will pass the following three parameters to our function:

    • url: This is the URL of our data source.

    • plot: The jqPlot object we create is passed...

Adding a fill between two lines

We talk through Calvin's comments. Adding in expenses won't be too much of an issue. We could simply add the expense line to one of our existing reports but that will likely not be what they want. Visually, the gap on our chart between profit and revenue should be the total amount of expenses. You mention that we could fill in the gap between the two lines. We decide to give this a try:

  1. We leave the plugins and the data arrays alone. We pass an empty array into our data array as a placeholder for our expenses. Next, we update our title. After this, we add a new series object and label it Expenses:

    ...
    var rev_profit = $.jqplot ('revPrfChart', [revenue, profit, []],
    {
      title:'Monthly Revenue & Profit with Highlighted Expenses',
      series:[ { label: 'Revenue' }, { label: 'Profit' }, { label: 'Expenses' } ],
      legend: { show: true, placement: 'outsideGrid' },

  2. To fill in the gap between the two lines, we use the fillBetween option. The only...

Understanding area and stacked area charts

Area charts come in two varieties. The default type of area chart is simply a modification of a line chart. Everything from the data point on the y axis all the way to zero is shaded. In the event your numbers are negative, then the data above the line up to zero is shaded in. Each data series you have is laid upon the others. Area charts are best to use when we want to compare similar elements, for example, sales by each division in our company or revenue among product categories.

The other variation of an area chart is the stacked area chart. The chart starts off being built in the same way as a normal area chart. The first line is plotted and shaded below the line to zero. The difference occurs with the remaining lines. We simply stack them. To understand what happens, consider this analogy.

Each shaded line represents a wall built to the height given in the data series. Instead of building one wall behind another, we stack them on top of each...

Creating an area chart

We grab the quarterly report with the divisional profits we created this morning. We will extend the data to a year and plot the divisional profits as an area chart:

  1. We remove the data arrays for revenue and the overall profit array. We also add data to the three arrays containing the divisional profits:

    <script src="../js/jqplot.dateAxisRenderer.min.js"></script>
<script>
$(document).ready(function(){
  var electronics = [["2011-11-20", 123487.87], ...];
  var media = [["2011-11-20", 66449.15], ...];
  var nerd_corral = [["2011-11-20", 2112.55], ...];

  var div_profit = $.jqplot ('division_profit', [media, nerd_corral, electronics],
  {
    title:'12 Month Divisional Profits',

  2. Under seriesDefaults, we assign true to fill and fillToZero. Without setting fillToZero to true, the fill would continue to the bottom of the chart. With the option set, the fill will extend downward to zero on the y axis for positive values and stop. For negative data points...

Creating a stacked area chart with revenue

Calvin stops by while we're taking a break. "Hey guys, I had a VP call and they want to see revenue broken down by division. Can we do that?" We tell him we can. "Great" he says, before turning away and leaving. We discuss this new request and realize this would be a great chance to use a stacked area chart.

We dig around and find the divisional revenue numbers Calvin wanted. We can reuse the chart we just created and just change out the data and some options.

  1. We use the same variable names for our divisional data and plug in revenue numbers instead of profit. We use a new variable name for our chart object and a new id attribute for our div. We update our title and add the stackSeries option and set it to true:

      var div_revenue = $.jqplot ('division_revenue', [electronics, media, nerd_corral],
  {
    title:'12 Month Divisional Revenue',
    stackSeries: true,

  2. We leave our series' options alone and the only option we change on our x axis is set numberTicks...

Understanding trend lines

The next morning with coffee mugs in hand, we set about adding trend lines to some of our existing charts. We decide that we will take our chart with the past twelve months of revenue and profit data and add a trend line.

Trend lines are calculated by taking all the data points on the y axis and picking a path where the number of points on either side of the line are as close to equal as possible. By doing this, jqPlot creates a line that will generally move upward or downward moving from left to right. This allows us to see if our data is moving upwards or downwards over time. Hence, we can see if our data is "trending" up or down.

Adding trend lines

We decide to use the profit and revenue chart with two y axes we created yesterday:

  1. We begin our updates by including the trend line plugin. We leave the data arrays as they are:

    <script src="../js/jqplot.dateAxisRenderer.min.js"></script>
<script src="../js/jqplot.trendline.min.js"></script>
<script>
$(document).ready(function(){

  var revenue = [['2011-11-20', 800538], ['2011-12-20', 804879], ['2012-01-20', 847732], ['2012-02-20', 795758], ['2012-03-20', 835554], ['2012-04-20', 844379], ['2012-05-20', 828510], ['2012-06-20', 753984], ['2012-07-20', 807403], ['2012-08-20', 755840], ['2012-09-20', 775304], ['2012-10-20', 781322]];

  var profit = [['2011-11-20', 192049.56], ['2011-12-20', 188744.75], ['2012-01-20', 197352.54], ['2012-02-20', 190106.74], ['2012-03-20', 193453.07], ['2012-04-20', 197249.69], ['2012-05-20', 205480.18], ['2012-06-20', 177648.78], ['2012-07-20', 193793.82], ['2012-08-20', 183221.56], ['2012-09-20', 192797.31], ...
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Description

If you are a developer with a good understanding of JavaScript and jQuery and have been burdened with the task of analyzing and presenting some data, this book will provide you with the start you need to create some very attractive data visualizations.

What you will learn

  • Make basic line graphs, bar charts, and pie charts
  • Create functions to parse various JSON objects to build datasets
  • Customize the style of your charts to create your own personal designs
  • Update your charts with live data using AJAX calls
  • Build waterfall, block, and OHLC charts
  • Increase the functionality of your charts by building event handlers
  • Add plugins to make the data more accessible

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 26, 2014
Length: 240 pages
Edition : 1st
Language : English
ISBN-13 : 9781783981175
Category :
Data
Languages :
JavaScript
Concepts :
Data Visualization

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Contact Details

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Product Details

Publication date : Aug 26, 2014
Length: 240 pages
Edition : 1st
Language : English
ISBN-13 : 9781783981175
Category :
Data
Languages :
JavaScript
Concepts :
Data Visualization

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Table of Contents

13 Chapters
1. Getting Started Chevron down icon Chevron up icon
1. Getting Started
Reviewing the components of a chart
Getting a promotion
Creating a jqPlot chart
Passing in both x and y values
Using dates for the x axis
Adding multiple data series
Adding a legend
Learning questions
Summary
2. More Line Charts, Area Charts, and Scatter Plots Chevron down icon Chevron up icon
2. More Line Charts, Area Charts, and Scatter Plots
Working with remote data sources
Adding a fill between two lines
Understanding area and stacked area charts
Creating an area chart
Creating a stacked area chart with revenue
Understanding trend lines
Adding trend lines
Understanding scatterplot charts
Extending the data renderer
Creating a scatterplot chart
Learning questions
Summary
3. Bar Charts and Digging into Data Chevron down icon Chevron up icon
3. Bar Charts and Digging into Data
Building bars of data
Adding styles to our bar chart
Creating charts with multiple data series
Adding trend lines to selected product categories
Expanding our datasets with event handlers
Adding an event handler for our stacked area chart
Learning questions
Summary
4. Horizontal and Stacked Bar Charts Chevron down icon Chevron up icon
4. Horizontal and Stacked Bar Charts
Turning our chart on its side
Removing axis labels and adding point labels
Adding a threshold to our chart
Learning questions
Summary
5. Pie Charts and Donut Charts Chevron down icon Chevron up icon
5. Pie Charts and Donut Charts
Limitations of pie charts
Making a pie chart with many data points
Styling our chart and adding functionality
Building a pie chart with empty wedges
Creating a pie chart for each division with product category revenue
Building a donut chart to show web browser usage
Learning questions
Summary
6. Spice Up Your Charts with Animation, Tooltips, and Highlighting Chevron down icon Chevron up icon
6. Spice Up Your Charts with Animation, Tooltips, and Highlighting
Using the cursor plugin to see the data behind our charts
Making the tooltip follow the mouse and adding cursor lines
Connecting the cursor with the legend
Using the highlighter plugin
Extending the highlighter plugin to the legend
Animating line charts
Animating bar charts with varying speeds
Learning questions
Summary
7. Stock Market Charts – OHLC and Candlestick Charts Chevron down icon Chevron up icon
7. Stock Market Charts – OHLC and Candlestick Charts
Looking at the employee stock option plan
Explaining OHLC charts
Explaining candlestick charts
Building an OHLC chart with last quarter's stock data
Building a candlestick chart with filtered data
Zooming in on a colored candlestick chart
Adding tooltips to canvas overlay lines
Modifying the data array and the tooltip
Learning questions
Summary
8. Bubble Charts, Block Plots, and Waterfalls Chevron down icon Chevron up icon
8. Bubble Charts, Block Plots, and Waterfalls
Creating a waterfall chart with expenses against revenue
Building a bubble chart
Building a block plot
Understanding waterfall charts
Creating a waterfall chart showing expenses against revenue
Learning questions
Summary
9. Showing Real-time Data with Our Charts Chevron down icon Chevron up icon
9. Showing Real-time Data with Our Charts
Creating a meter gauge chart with Wi-Fi users
Refreshing our chart from remote data
Using the replot method to change remote datasets
Dynamically building our chart when the page loads
Learning questions
Summary
10. Beautifying and Extending Your Charts Chevron down icon Chevron up icon
10. Beautifying and Extending Your Charts
Nailing down the charts for our dashboard
Changing the background color of our chart
Canvas versus CSS
Using the second xaxis and smoothing lines
Setting negative colors on a bar chart
Creating reusable plot objects
Using objects to piece together our chart
Reaping the benefits of the DRY code
Learning questions
Summary
11. Bringing it All Together Chevron down icon Chevron up icon
11. Bringing it All Together
Combining four charts into a dashboard
Creating a divisional dashboard
Mixing renderers
Adding extra canvas elements
Modifying an existing plugin
Learning questions
Summary
A. Answers Chevron down icon Chevron up icon
Chapter 1, Getting Started
Chapter 2, More Line Charts, Area Charts, and Scatter Plots
Chapter 3, Bar Charts and Digging into Data
Chapter 4, Horizontal and Stacked Bar Charts
Chapter 5, Pie Charts and Donut Charts
Chapter 6, Spice Up Your Charts with Animation, Tooltips, and Highlighting
Chapter 7, Stock Market Charts – OHLC and Candlestick Charts
Chapter 8, Bubble Charts, Block Plots, and Waterfalls
Chapter 9, Showing Real-time Data with Our Charts
Chapter 10, Beautifying and Extending Your Charts
Chapter 11, Bringing it All Together
Index Chevron down icon Chevron up icon
Index

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SuJo Dec 17, 2014
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Learning jqPlotScott Gottreu did a fine job on this title, it was informative, to the point, and the code worked. The information was detailed and to the point, I felt like I learned something new which was my intentions for reading this title. "This book empowers you to create highly-customized charts and graphs that present your data in a visually appealing and analytic manner." This was taken from the publisher page for this title and it's spot on, I did enjoy starting from a very basic graph and moving on to a more advanced graph.There isn't really much more to say about this title, I've used other plugins and they are pretty good but I feel leveraging the power of jqPlot opens the door for even better data representation using charts or graphs. I would also like to mention this is probably the first Packt book where the author actually utilized some humor and it was very refreshing. I REALLY REALLY enjoyed the story driven type setup, it actually helps me retain information. There are charts-o-plenty in this book as well, so if you're a visual learner like me you'll really appreciate the number of elements which are represented in full color for the eBook version. I did like the emphasis on limitations and I would have liked to seen more scenarios that require heavy loads or database driven dashboards. The remote loading was a nifty feature, do people still use that word?All in all I'm very pleased with this book, it will allow you to add some pizzazz to your web application while maintaining a well known and liked framework, no need to re-invent the wheel on this one folks. If you're just wondering if remote datasets are covered, you're in luck because they are. I would say I could have used a few more pages with database driven charts but I'm confident I can fill in the blanks. I'd highly recommend this book to anyone creating a web application that requires visual representation of the data, you'll really enjoy this one.[...]
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About the author

Profile icon Gottreu
Gottreu
Scott Gottreu has worked across a range of industries; academic, medical, advertising, nonprofit, and private sector organizations. Each time, he expanded his knowledge base while solving problems specific to that sector. He started off in classic ASP and moved on to PHP, and is now using Rails as well. He learned JavaScript and jQuery along the way. He currently works for Warren Douglas Advertising in Fort Worth, Texas, where he creates solutions for his company's various clients.
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