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https://github.com/risktoollib/data


https://github.com/risktoollib/data

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---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```

# Data Files

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.

## Finance

+ `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.

## Energy

+ `esso` - Scraped data from the [Esso website](https://essocardlocks.ca/en/sites/) on carlock stations in Canada, including location, address, amenities, and distance to city centers using [nomatim](https://nominatim.org/) for OpenStreetMap.
+ `flyingj` - Scraped data from the [Flying J website](https://locations.pilotflyingj.com/search?) on carlock stations in Noth America, including location, address, amenities, and distance to city centers using [nomatim](https://nominatim.org/) for OpenStreetMap.