Bike Vendors
Explore how to use Python Altair to create a compelling data story for a bike company. Learn to transform temperature data into visual insights with interactive charts, annotations, and calls to action. Discover how to apply the DIKW pyramid to build a narrative that highlights carbon emission reductions through biking.
Let’s imagine that we work for a company that sells bikes. Our boss has asked us to produce a chart encouraging customers to buy a bike. After a web search, we find a dataset containing anomalies in global temperatures from 1880 to the present day (source: NASA/GISS). Plotting a quick chart shows that the temperature has risen about one degree above normal over the past 50 years.
So, we decide to leverage this temperature rise to build our story. The story’s goal is to entice the audience to buy our bikes. To do this, we ...