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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
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.
For Understanding To transform the data into usable knowledge that we can act upon, we need to analyze it using appropriate models, statistics, and data mining techniques. Once we make sense of the data or our findings, we need to communicate
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.
Learn six very easy ways to use technology as a teaching tool There are many everyday tools out there that can help you achieve specific educational goals in your teaching. But first, let me emphasize that technology should be used in
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
Learn How to Avoid Errors Made by Data Visualization Software Building data visualizations is easy. In fact, you can build beautiful geospatial, categorical, statistical, relational, multivariate, and time series displays with little effort, as long the data is presented in
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.