Bike-Share Analysis
Sector: Marketing
Focus: Data Wrangling, EDA
Overivew: Understanding rider metrics based on subscription to improve marketing strategies
Country: N/A
PORTFOLIO
R
Robust.
Commonly praised for its diverse array of statistical packages and strong focus on statistical analysis.
Why I love R
This was the first language I learned when I started learning about analytics. I remember spending hours trying to understand concepts when I was learning this in the Google Data Analytics course. 7 days later, I was done with the entire course and ready to start my case study.
R has a LARGE pool of packages you can choose from for your projects. This can seem overwhelming at first, but something I absolutely love about R is the abundance of documentation. For every package, function, or feature you are guaranteed to be able to find a write-up or two about it. My tool of choice with using R is RStudio. I love the interface because I can have my code, output, reference files and documentation visible on the same page. One of my absolutely favourite packages are `tidyverse` and `data.table`.
Projects
Feel free to have a look at the different case studies I have managed to work on so far. The code is not provided for all of them, but please feel free to reach out to me, and I'll be happy to share!