shopify-ds-intern-challenge

Shopify Summer 2022 Data Science Internship Challenge

Prepared by Nathan Chan

Please visit this link for the full report:

https://nathankchan.github.io/shopify-ds-intern-challenge/Analysis.html

For an interactive GUI to examine your own data, please visit this link:

https://nathankchan.shinyapps.io/Histogram-Density_Plot_Viewer

To visit this project on github, please visit this link:

https://github.com/nathankchan/shopify-ds-intern-challenge

Description

This project contains three parts:

  1. an R Markdown document (already knit to HTML, see here);
  2. an R Shiny app (“program”, already deployed to shinyapps.io, see here) that provides an interactive GUI that produces histogram-density plots and reports key metrics; and
  3. an R script that saves two files to ./output:
    • a .csv file of summary statistics; and
    • an interactive HTML histogram-density plot.

It is strongly recommended that you view the report (option 1).

The report contains my full thought process, interactive visualizations, and complete answers for Questions 1 and 2.

To run the Shiny app online (option 2), visit the website and upload your Excel file.

To run the Shiny app or R script locally (options 2 or 3), download the repository and run the following command in your terminal. Note that you must have R installed for the app/script to execute.


cd /path/to/repository

# To run the Shiny app
Rscript app.R

# To run the R script (see script for usage information and optional arguments)
Rscript run.R
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