This is a basic showcase of my "Whiskies" Project. I originally wrote the project in Python, and began translating it into R.
The exercise originated from my completion of Week 4, Case Study 1 of the free access version of Harvard EdX course "Using Python for Research" in July 2022.
It was intended to be an exercise to demonstrate the use of Bokeh for interactive visualizations of data.
I completed my expansion write-up in Python in November 2022.
NumPy, Pandas, PyPlot, Scikit-Learn, and Bokeh libraries were used.
The Python example consists of a Jupyter notebook:
- Whiskies Write-Up.ipynb
The Bokeh visualizations for the Python version do not generate contained within the Jupyter notebook. They are included in this repository.
- Bokeh_Basic.html
- Spatial_scatter_Bokeh_Example.html
- Whiskeys by Region - Sorted by Region.html
- Whiskeys by Region - Unmodified.html
- Whiskeys by Group.html
- Whiskey Locations and Regions.html
- Whiskey Locations and Groups.html
I began my R translation in February 2022.
The R versions consist of a R notebook: Whiskies Write-Up(R).Rmd Whiskies Write-Up(R).nb.html
GitHub does not render RNotebooks, but by downloading the RNotebook and opening in a web browser, you should be able to visualize all the data, including rBokeh visualizations.
Tidyverse, Janitor, sjmisc, ComplexHeatmap, and rBokeh libraries were used.