Data visualization is the art of our age.
Just as Michelangelo approached that giant block of Carrara marble and said, “I saw the angel in the marble and carved it until I set him free,” analysts are approaching data with the same visionary and inquisitive mind.
In today’s age, where big data reigns, the art of data analysis is making sense of our world.
Analysts are chiseling the bulk of raw data to create meaning—patterns and associations, maps and models— to help us draw insights, understand trends, and even make decisions from the stories the data tell.
But in presenting such complex information, data analysis is not easily computable to the human brain until it is presented in a data visualization.
Tables, charts, and graphs provide powerful representations of numerous data points so that the insights and trends are easily understood by the human brain.
That’s why data visualization is one of the most persuasive techniques to evangelize experimentation today—particularly in an era of ever-decreasing attention spans.
A thoughtfully crafted visualization conveys an abundance of complex information using relatively little space and by leveraging our visual system—whether that’s the optimal number of lead generation form fields or the potential ROI of your program throughout the quarter.
In this post, we dig into the practice of designing data visualizations for your audience. You will learn:
Join over 70,000 growth pros from companies like Uber, Pinterest & Twitter