From the course: Data Science Foundations: Data Assessment for Predictive Modeling

Unlock the full course today

Join today to access over 22,600 courses taught by industry experts or purchase this course individually.

Clarifying how data understanding differs from data visualization

Clarifying how data understanding differs from data visualization

From the course: Data Science Foundations: Data Assessment for Predictive Modeling

Start my 1-month free trial

Clarifying how data understanding differs from data visualization

“

- [Instructor] By data assessment, don't we just mean a type of data exploration or data visualization? In short, no. Here we have a very specific purpose in mind, to check the suitability of our data for predictive modeling and to determine what actions we can take to improve the data during data preparation. Consider the metaphor of building construction. As the materials arrive, which for us is the data, we need to check to see if it's what we were expecting, what do we need to do to ready the materials, and what potential flaws do we see? A lot of what we have to do is mundane, but there are a very specific set of criteria to inspect for. Edward Tufte has inspired many with his books on effective data visualization. But notice in the opening sentence of one of his books, he is focused on communication. We are focused on a stage in the model-building process well before we communicate results to others. The analyses…

Contents