Best Data Visualization Quotes from Though Leaders
The advantage of Data Visualization is not that it makes data more beautiful but that it enables decision-makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns.
Let’s read about what the thought leaders have to say about the future of information sciences and Data Visualization.
Best Data Visualization Quotes from Thought Leaders
Here’s what the Thought Leaders have to say about the power and effectiveness of Data Visualization.
Visualization gives you answers to questions you didn’t know you had.
There is no such thing as information overload. There is only bad design.
There are two goals when presenting data: convey your story and establish credibility.
The single biggest threat to the credibility of a presentation is cherry-picked data.
Data is the new oil? No, data is the new soil.
The greatest value of a picture is when it forces us to notice what we never expected to see.
Most of us need to listen to the music to understand how beautiful it is. But often that’s how we present statistics: we just show the notes, we don’t play the music.
Information graphics should be aesthetically pleasing but many designers think about aesthetics before they think about structure, about the information itself, about the story the graphic should tell.
Learn data, and you can tell stories that more people don’t even know about yet but are eager to hear.
My best advice is to not start in PowerPoint. Presentation tools force you to think through information linearly, and you really need to start by thinking of the whole instead of the individual lines.
I think the organizations that mostly help rising the bar and moving forward are all the other disciplines and professionals that are discovering nowadays what visualization can do for them. From sociology to humanities, from lawyers and managers to decision makers and urban planners, new and often unexpected areas are addressing visualization with novel questions and specific needs. In most of the cases these new questions cannot be answered with the traditional/standard solutions.
Thanks for making it to the end 🙂
If you liked this article, I’ve got a practical reads for you one about Data Scientist with Python Track and one How (and Where) to get a Data Visualization Course in 2019.
I’ve also got this Data Science newsletter that you might be into. I send a tiny email once or twice every quarter with some useful resource I’ve found. Don’t worry, I hate spam as much as you. Feel free to subscribe. ↗