This package was built as a means to organize the scraping & cleaning functions that were created to collect data from 2 online grocery services' websites to be analyzed for the grocery Shiny app dashboard. Since then, it has evolved to include 16 different ready to use grocery related datasets that include product details, store information and even randomly generated customers/orders/baskets database for a fake grocery store.
Thus, the goal of the grocerycart package is to provide:
- A suite of collection functions that scrape data from 2 online grocery services: elGrocer & Ocado.
- Cleaning functions to prepare the scraped data for analysis.
- Datasets containing details from real grocery stores (e.g., products, prices, reviews).
- Ready to use grocery data: customer, order and basket datasets generated using real products. You can also generate your own grocery data.
# install from GitHub (make sure to set build_vignettes = TRUE to access vignette)
install.packages("devtools")
devtools::install_github("moamiristat/grocerycart", build_vignettes = TRUE)
You may want to use this package for 1 of 2 reasons:
- Use the available grocery datasets to conduct your analysis (i.e., create graphs, analyze text review, conduct market basket analysis, build a dashboard, generate downloadable reports).
- Scrape and clean data from the 2 online grocery services' websites - elGrocer & Ocado.
Learn how you can scrape, clean and analyze grocery data with the functions in this package via vignette("grocerycart").
You can view all 16 available datasets via data(package = "grocerycart"). Get more info about each dataset via ?*DatasetNAME*.
Here are examples of visualizations that can be created using the dataset in this package:
Visit the grocery project's Github to access the grocery dashboard.