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Bike Share Analysis Project

This is a reproducible report using a cutting-edge language agnostic data analysis framework. It is a Quarto website project rendered from .QMD files in the style of a website, and utilizes custom CSS/SCSS styling. This project was written in R, so it enlists a 'renv' or reproducible R-environment, so the computational environment can be restored from files contained in this repository on your local system. I have found the Posit/Rstudio/R ecosystem, currently offers the most in the realm of data analysis and creating approachable, user-friendly, and nice outputs. I hope you enjoy this project and find inspiration for creating your own future projects. That said, I like using Rstudio for these kinds of projects, but it could also be reproduced in IDEs such as VScode.

Summary

  • Bridges a new language agnostic data analysis framework with more traditional HTML/CSS/JS type web development frameworks
  • Reproducible, eye-catching visualizations

To Reproduce

First, have R and Python installed globally on your system.

In Rstudio:

Go to: File

Click New Project

Select Version Control

Paste this repo's code link

in R console:

install.packages("renv")
renv::restore()
renv::snapshot()

Follow prompts to install R and Python packages during these steps where necessary. If doing this without an R console, you might be able to run that R code in R-code chunk(s) within the index.qmd file of the project.

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A Quarto-Markdown based data analysis report rendered with CSS style.

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