To effectively leverage data to inform business decisions, we must create visualizations that reveal interesting data points or trends in the data. While a determination of what is interesting will vary from use-case to use-case, creating visualizations that surface variance in a data set is a central tenet of an analytic workflow where we hope to move from directional to actionable insight.
You will recall our rather boring Lemonade sales from last week—using a standard bar chart, our data looked like this:
Here are some alternate visualizations that are designed to show variance…and inspire hypothesis generation, testing, and purposeful exploration. If you have a favorite/least favorite, please leave a comment!
Scatter Plot with Box Plot
Andrew Malinow, PhD, leads the Data Science team at Zylotech, where he leverages his background as a Cognitive Psychologist, statistical expertise and passion for surfacing actionable insights from large, messy data sets. At home he loves to spend time with his wife and 4 kids, doing anything outdoors, and tending to his ever-growing flock of chickens on his farm in Pomfret, CT.
If you liked this post, check out our other blog post about how you can use AutoML to make your business more successful.