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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.

By the end of this course, you will be able to visualize your data with javascript.

All the resources and supportive files for this course are available at github.com/PacktPublishing/How-to-Visualize-Data-with-javascript

Another exquisit release

Packt.How.to.Visualize.Data.with.javascript-XQZT

Title: How to Visualize Data with javascript
Publisher: Packt
Category: Data
Size: 1298M
Files: 10F
Date: 2021-05-26
Course #: 9781801814140
Published: Packt
Updated: N/A
Author: Elisabeth Robson
Duration: 1 hour 1 minute
Exer/Code:

Installation:
Unpack that shit, run that shit

Description:
Learn how to visualize trends in temperature data with HTML, CSS
javascript, and jQuery

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