This is Part 2 in the Practical Pandas Series, where I work through a data analysis problem from start to finish.
It's a misconception that we can cleanly separate the data analysis pipeline into a linear sequence of steps from
- data acqusition
- data tidying
- exploratory analysis
- model building
This is the first post in a series where I'll show how I use pandas on real-world datasets.
For this post, we'll look at data I collected with Cyclemeter on my daily bike ride to and from school last year. I had to manually start and stop the tracking at …