Advanced Data Visualization [Video]

More Information
  • When to use dashboards
  • How to create effective dashboards
  • When to incorporate time elements into a visualization
  • How to design effective displays using time elements
  • How to build user interaction elements into a visualization
  • Some best practice approaches for finishing and deploying data visualizations

Basic visualizations are often all that we need for many instances, but there are also times when we need to expand our repertoire to build advanced visualizations. We begin with designing and implementing dashboards, a highly popular yet often poorly executed visualization type. Then we look at using temporal data to create dynamic visualizations that transport the user through time, adding significant context and detail to the visualization. Then we spend time building interactivity into visualizations, giving users the opportunity for additional exploration and analysis. The final section deals with deploying visualizations, either to alternate formats for further customization or to the web for browser-based interaction.

Style and Approach

This course will take you through advanced visualization concepts such as designing and implementing dashboards, dynamic visualizations based on time elements, building user interaction into visualizations as well as best practices in design and styling with relevant example which are easy to follow and engaging.

  • Build powerful dashboards
  • Use time elements to create dynamic visualizations
  • Make your visualizations interactive
Course Length 2 hours 29 minutes
ISBN 9781787285811
Date Of Publication 25 Sep 2017


Ken Cherven

Ken Cherven has been creating data visualizations for more than 10 years using a variety of tools, including Excel, Tableau, Cognos, D3, Gephi, Sigma.js, and Exhibit, along with geospatial tools such as Mapbox, Carto, and QGIS.

He uses Tableau on a daily basis in his current position, where he has built dozens of performance dashboards to track both marketing and operational metrics. He has also built many visualizations for his personal websites, especially utilizing Gephi and Sigma.js to explore and visualize network data.

He is very interested in tools related to the exploration of network data, typically using Gephi for most of his current output. He’s also interested in text analysis, where he’s used tools such as Aylien, RapidMiner, R, and Exploratory to begin understanding and visualizing underlying patterns in political speeches, email transmissions, and book content.

His experience in building data visualizations has intersected with many technologies, including a variety of SQL-based tools and languages including Oracle, MySQL, and SQLServer. He frequently edits and styles network information using HTML and CSS, along with a bit of JavaScript.

He is also highly engaged in the world of data visualization, including but not limited to his daily work experience. His work is based on a thorough understanding of visualization principles learned through extensive reading and practice. He also uses his websites to display and promote visualizations, which he shares with a wider audience. He has previously authored two books on Gephi for Packt, and has also presented at multiple data visualization conferences