Best Practices for Killer Data Visualization [Webinar]
Have you ever experienced something amazing and then later tried to explain that experience to someone else? Even for the best story tellers, it often falls flat. That’s why we often hear, “I guess you had to be there.”
The beautiful thing about data is that you don’t have to be there. You can bring the data to others and with visual data you can make the story come alive.
So how do you present your data in a way that will help it come to life?
Humans are slow at mental math, so numbers don’t mean very much unless we can “see” them. After you collect and organize your data, visualization is a crucial step before you can develop and act on insights, as seen in the cycle of visual analysis below:
Sasha Pasulka, a data visualization expert at Tableau, identifies four best practices for creating visual data:
- Represent data in a way that is easy for people to understand
- Use color
- If applicable, use maps
- Create a dashboard for easy analysis
There are many ways to organize and represent your data, but most data fall into one of three categories: quantitative, ordinal and categorical.
- Quantitative: includes things like weight, cost or discount percentage
- Ordinal: includes rankings, such as “love it, like it, hate it”
- Categorical: divides data by categories, such as industry, state or brand
Join us on Wednesday, August 12, as Sasha dives into her best tips, tricks and practices for turning your own data into visualizations that make it easy to spot trends and outliers and exponentially increase understanding of enterprise data.
With over a decade of experience helping organizations and people make sense of numbers, Sasha will help you realize what’s possible when your brain is on visual data.