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The third reason why we use data visualizations is to show data in our presentations. Recently, I wrote a guest post for Tableau on best ways to deliver presentations with data. I emphasized the role of storytelling and noted the
I was recently asked to serve on a panel to discuss questions related to increasing analytics engagement for the Digital Analytics Association. In preparation, I put together some questions and responses that I thought would be helpful for folks working
Sometimes imaging software by default enables us to create beautiful visualizations. However, designing visualizations that are readable and provide key insights is much more difficult.
To create an interface for our audience to explore our data. There are strong arguments for why we create data visualizations. In this world of big data, visualizations allow audiences to easily explore and understand our statistics through a visual interface.
Sometimes imaging software by default enables us to create beautiful visualizations. However, designing visualizations that are readable and provide key insights is much more difficult. As visualization designers, we are “melding the skills of computer science, statistics, artistic design, and
These standards are intended to help you create readable and interpretable information visualizations.
I’ve compiled guidelines for designing and delivering face to face digital presentations. This can can help you avoid the major presentation pitfalls.
I’ve been compiling a list of pitfalls that I’ve observed, experienced, and researched. Here are the top ten that I’ve found. These have been inspired by various experts, practitioners, colleagues, and my own students.
A talk I gave recently on Data Visualization at the Future of Business: Mobile, Data, and Open Innovation @ NYU Stern.