Here’s my another guided project. Earlier, I’ve already done the previous 2 projects of the DataViz courses, but now, since the contents of both courses and their guided projects were updated (and significantly improved), I decided to do the new ones.
It was interesting to discover that the traffic at night has many trends similar to the one of the daytime. Another curious observation was the one about the weather: some relatively light weather conditions influence the traffic much more than heavy snowfall, heavy rain, thunderstorm, etc. I’d love to hear what you think about the reasons of it and if you agree with my version of explaining of this paradox.
Additionally, I investigated traffic volume by year (really curious what was happenning there all the year 2016??) and by nighttime. Also, I explored traffic volume on different holidays and found out that the dataset provides a misleading information about them (you’ll find a more detailed discussion of this issue in my project). At the end, I had to do some extra cleaning to extract the necessary information anyway and obtained rather interesting results.
From technical point of view, I optimized my code by using several functions (this time, I didn’t add any documentation to them, using instead very self-explaining names and parameters), created simple but clean visualizations with maximized data-ink ratio and following all the best practices.
I’d appreciate any feedback and suggestions from you on how my work can be further improved, whether it’s about the code optimization, project structure, storytelling, typos, the correctness of my conclusion and observations.
Many thanks in advance!