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You're reading from  Data Visualization with D3 and AngularJS

Product typeBook
Published inApr 2015
Reading LevelIntermediate
Publisher
ISBN-139781784398484
Edition1st Edition
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Authors (2):
Erik Hanchett
Erik Hanchett
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Erik Hanchett

Erik Hanchett is a software developer, blogger, and perpetual student who has been writing code for over 10 years. He currently resides in Reno Nevada, with his wife and two kids. He blogs about software development at ProgramWithErik.com. I would like to thank my wife Susan for helping me stay motivated. My friend F.B. Woods for all his help on the English language and Dr. Bret Simmons for teaching me the value of a personal brand. I would also like to thank all my friends and family that encouraged me along the way.
Read more about Erik Hanchett

Christoph Körner
Christoph Körner
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Christoph Körner

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.
Read more about Christoph Körner

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Parsing log files to JavaScript objects


Once we load the string of log entries, we need to parse these entries to an array of data points in order to display them. We want to parse the plain text log file to an array of JavaScript objects.

In this section, I will show you a convenient way to mix all techniques and to retrieve the best of both worlds. We will implement a preprocessing service component. This uses regular expressions to split the text into an array and D3.js to parse time strings to dates.

Parsing log files step by step

Let's look at the structure of the log files again:

66.249.64.121 - - [22/Nov/2014:01:56:00 +0100] "GET /robots.txt HTTP/1.1" 302
507 "-" "Mozilla/5.0 (compatible; Googlebot/2.1;
+http://www.google.com/bot.html)"
66.249.64.129 - - [22/Nov/2014:01:56:01 +0100] "GET / HTTP/1.1" 302 487 "-"
"Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)"

From this string, we ultimately want to generate an array of JavaScript objects in the shape of [{ip:...

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Data Visualization with D3 and AngularJS
Published in: Apr 2015Publisher: ISBN-13: 9781784398484

Authors (2)

author image
Erik Hanchett

Erik Hanchett is a software developer, blogger, and perpetual student who has been writing code for over 10 years. He currently resides in Reno Nevada, with his wife and two kids. He blogs about software development at ProgramWithErik.com. I would like to thank my wife Susan for helping me stay motivated. My friend F.B. Woods for all his help on the English language and Dr. Bret Simmons for teaching me the value of a personal brand. I would also like to thank all my friends and family that encouraged me along the way.
Read more about Erik Hanchett

author image
Christoph Körner

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.
Read more about Christoph Körner