Your charts suck! You’ve spent massive resources on research and analysis, but when it comes time to present your results, your default charts from PowerPoint are nothing special. Learn how to apply core data visualization design principles to create charts that clearly make your audience go “Ah-ha!”
As our final event for 2017, I'll be giving one of my own talks, What Is Good DataViz Design? This is a talk I've given at the Big Design Conference, the Digital Analytics Association (DAA) Dallas Symposium, the Big Data Bootcamp, the 2017 PDMA Annual Conference (Product Development Manager's Association), and is a shorter version of the half-day workshop I hold for the SMU MS Data Science program.
REFRESHMENTS: There will be food provided by IBM Cloud (https://www.ibm.com/cloud/)!
We will also have a drawing for a free signed copy of my book.
LOCATION: SMU in Plano, Building 4, Room 100
6:30 - Doors Open for Networking
6:50 - Group Announcements
7:00 - What is Good DataViz Design? by Randy Krum
8:00 - Q&A and Open Discussion
Description: Product managers, data scientists, analysts, engineers, designers and researchers are often expected to effectively communicate their insights to non-data professionals; customers, executives, co-workers or the general public. This audience doesn’t want to see the numbers or the detailed analysis, they just want to understand the insights from your data. Good DataViz Design means going beyond the charting templates and designing visualizations that reveal insights and tell stories to your audience.
Data visualizations are used in dashboards, websites, mobile applications, presentations, reports, websites, infographics and more. There are hundreds of ways to visualize data, and once you have chosen an appropriate visualization style for your data, you must customize the design to make sure your audience quickly and easily understands your message. You need your own toolbox of applications and websites to create different visualizations and charts, and all of your dataviz designs will benefit from these core principles of good dataviz design:
• Focus on a Key Message
• Visually tell your story step-by-step
• Take advantage of the Picture Superiority Effect
• Use Pre-Attentive Attributes to lead your audience’s focus
• Build your credibility with data transparency
Randy Krum is an infographics and data visualization designer, author of the book, “Cool Infographics: Effective Communication with Data Visualization and Design,” Founder and President of the design firm InfoNewt, and instructor of Data Visualization and Infographics Design at Southern Methodist University's Continuing and Professional Education program (CAPE). Randy also runs the popular website Coolinfographics.com, and is the Organizer of the Dallas-Fort Worth Data Visualization Meetup group with over 2,300 members. More info at http://randykrum.com