The goal is to provide a centralized marketplace for data in the context of educational and training material in Energy, Commodities and Finance.
The main data format for dataframes is feather to support both R and
Python.
sp500_desc- S&P 500 constituents with sector and industry classification.sp500_prices- S&P 500 constituents daily prices from 2010-01-01 to 2020-12-31.
esso- Scraped data from the Esso website on carlock stations in Canada, including location, address, amenities, and distance to city centers using nomatim for OpenStreetMap.flyingj- Scraped data from the Flying J website on carlock stations in Noth America, including location, address, amenities, and distance to city centers using nomatim for OpenStreetMap.