October 13, 2019

217 words 2 mins read

Using Julia and D3 to analyze web performance data

Using Julia and D3 to analyze web performance data

If you've always wanted to play around with D3 or Julia, Philip Tellis will bring you up to speed very quickly. Philip explores both Julia and D3 to demonstrate how to extract meaningful information from web-performance data and guides participants through some fun visualizations that are possible only when using these tools together.
Talk Title Using Julia and D3 to analyze web performance data
Speakers Philip Tellis (Akamai)
Conference Fluent
Conf Tag The Web Platform in Practice
Location San Francisco, California
Date March 8-10, 2016
URL Talk Page
Slides Talk Slides
Video

The best way to learn a new tool or language is to jump right in and start hacking. Philip Tellis leads participants through the new Julia programming language and the popular D3 data-visualization JavaScript library using web-performance data that he’s been collecting from the boomerang JavaScript library. Philip explains how to extract meaningful information from this data, employing both Julia and D3 to come up with some fun visualizations that are possible only when using these tools together. You’ll use Julia to manipulate DataFrames and perform statistical data analysis and then pass this data directly to a visualization written in D3 to understand patterns in the data. By the end of the presentation, you’ll be ready to implement Julia and D3 in your own work.

javascript visualization programming performance hacking
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