Designing Data Visualizations: Telling Stories With Data

Noah Illinsky (Amazon Web Services)
Location: Murray Hill Suite A Level: Non-technical
Average rating: ****.
(4.00, 1 rating)

This is a talk aimed at people who know their data, and want to learn how to visualize it most effectively. If you have data, a need for answers, and a blank page, this is a great place to start.

We’ll start briefly addressing the value of visualization, and discuss the differences between visualization for analysis and presentation.

From there we’ll figure out what story to tell with your visualization by examining the holy visualization trinity:
- your goals
- your customer’s needs
- the shape of your data

Once the story has been selected, we need to construct it. We’ll discuss key considerations to make good choices about:
- selecting appropriate data
- selecting appropriate axes
- visually encoding the data

We’ll end with a brief discussion of some current tools, and look at some classic and innovative visualization examples.

Photo of Noah Illinsky

Noah Illinsky

Amazon Web Services

Noah Iliinsky is the technical editor of, and a contributor to, Beautiful Visualization, published By O’Reilly Media.

He has spent the last several years thinking, writing, and speaking about best practices for designing information visualizations. He also works in interface and interaction design, all from a functional and user-centered perspective. Before becoming a designer he was a programmer for several years.

He has a master’s in Technical Communication from the University of Washington, and a bachelor’s in Physics from Reed College.

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Picture of Noah Illinsky
Noah Illinsky
09/02/2011 5:12pm EDT

This talk will follow the same general path as our new forthcoming book, Designing Data Visualizations.


  • Aster Data
  • EMC Greenplum
  • GE
  • Lexis Nexis
  • MarkLogic
  • Tableau Software
  • Cloudera
  • DataStax
  • Informatica
  • DataSift
  • Splunk
  • Amazon Web Services
  • Datameer
  • Impetus
  • Karmasphere
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Sybase
  • Xeround
  • Media-Science
  • Platfora

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