D3.js Essential Training for Data Scientists.
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2016.
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Format
eVideo
Language
English
Notes
General Note
10/28/201612:00:00AM
Participants/Performers
Presenter: Emma Saunders
Description
Build interactive data visualizations. Learn to create tree diagrams, stack charts, spatial maps, and more all with a web browser, a few lines of code, and the D3.js library.
Description
Take your visualizations beyond boring charts. D3.js enables you to create spatial maps, tree diagrams, stack charts, and more, all with a web browser and a few lines of code. There's something for everyone in data science: statisticians, scientists, mathematicians, and analysts. D3.js Essential Training for Data Scientists unlocks the keys to this versatile approach. Follow along with data consultant Emma Saunders as she shows how to build beautiful and interactive data visualizations with D3. Start off with a review of HTML, CSS, and JavaScript—some basic coding skills you need to use the D3 library. Then learn how to make a simple bar chart and create basic shapes and text. Emma also introduces the path function and the power of generators for drawing more complex shapes. Then find out how to pull in JSON, XML, and CSV files to create more complex graphics such as tree and Voronoi diagrams, and manipulate your data for advanced graphics using map, stack, and nest functions. The course wraps up with tips for adding interactivity and picking the right graphic for your data.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Saunders, E. (2016). D3.js Essential Training for Data Scientists . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Saunders, Emma. 2016. D3.js Essential Training for Data Scientists. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Saunders, Emma. D3.js Essential Training for Data Scientists linkedin.com, 2016.
MLA Citation, 9th Edition (style guide)Saunders, Emma. D3.js Essential Training for Data Scientists linkedin.com, 2016.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
6524772d-e95e-4df3-5a94-39d4254b9b2b-eng
Grouping Information
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|---|---|
| Full title | d3 js essential training for data scientists |
| Author | saunders emma |
| Grouping Category | movie |
| Last Update | 2024-04-23 13:13:49PM |
| Last Indexed | 2024-04-23 13:18:09PM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Jan 22, 2024 |
| Last Used | Apr 9, 2024 |
Marc Record
| First Detected | Nov 10, 2021 06:46:33 AM |
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| Last File Modification Time | Apr 23, 2024 01:18:09 PM |
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| 520 | |a Take your visualizations beyond boring charts. D3.js enables you to create spatial maps, tree diagrams, stack charts, and more, all with a web browser and a few lines of code. There's something for everyone in data science: statisticians, scientists, mathematicians, and analysts. D3.js Essential Training for Data Scientists unlocks the keys to this versatile approach. Follow along with data consultant Emma Saunders as she shows how to build beautiful and interactive data visualizations with D3. Start off with a review of HTML, CSS, and JavaScript—some basic coding skills you need to use the D3 library. Then learn how to make a simple bar chart and create basic shapes and text. Emma also introduces the path function and the power of generators for drawing more complex shapes. Then find out how to pull in JSON, XML, and CSV files to create more complex graphics such as tree and Voronoi diagrams, and manipulate your data for advanced graphics using map, stack, and nest functions. The course wraps up with tips for adding interactivity and picking the right graphic for your data. | ||
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