Visualize Data with JavaScript
Learn to visualize trends in temperature data with HTML, CSS, JavaScript, and jQuery
IT & Software,Other IT & Software,Javascript
Lectures -13
Duration -1 hours
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Course Description
This course is for developers who want to practice their JavaScript skills and use JavaScript to create visualizations. Also, developers who are interested in climate change and visualizing climate data can benefit from the course.
Data visualizations are representations of data in pictorial or graphical format. Sometimes we draw a simple line graph, like the graph of global surface temperature; sometimes, we use maps, like the high-temperature map for the United States for June 15, 2018. Other types of visualization include bar graphs, scatter plots, pie charts, bubble charts, heatmaps, treemaps, cloropleth maps, sankey diagrams, and more. Even art can visualize data.
In this course, we’ll learn how to incorporate data visualization into your web skills using simple JavaScript along with HTML and CSS. We will take you through building an interactive visualization using data downloaded from NOAA, reading data into a webpage, adding the data to an HTML table with JavaScript code, adding color to the visualization with JavaScript and CSS, and using a little jQuery to make selecting and updating elements in the page easy.
To successfully complete this project, we recommend that you have some background in HTML, CSS, and JavaScript. You don’t need to be an expert by any means, but you should have experience building web pages with HTML and CSS and you should have basic programming skills in JavaScript.
Goals
What will you learn in this course:
- How to read JSON data into your JavaScript application
- How to create HTML elements to put your data into a webpage
- How to style the table data and color legend with CSS
- How to use JavaScript and jQuery to create elements
- Add the Color Legend
- Style the visualization with CSS
Curriculum
Check out the detailed breakdown of what’s inside the course
Getting Started
4 Lectures
- Introduction 01:07 01:07
- What is a Visualization? 03:03 03:03
- Inspect the Data 05:57 05:57
- Get Set Up 03:16 03:16
Write the Code
8 Lectures
Wrap up
1 Lectures
Instructor Details
Packt Publishing
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