ForecastData.lj has been created in the process of decoupling functionality from Forecast.jl .
This package handles access to small to medium size time series datasets (in the Megabytes) to be used in Julia.
Since the number of datasets could be potentially large and relatively big in size they are not downloaded when the package is installed, but only when they are called to then be stored locally as a Julia artifact.
The format chosen to return the time series is via a DataFrame with its first column using Dates when appropiate.
In general time series available in ForecastData will be “unique” in one of these two ways:
- They are a combination of publicly available datasets (e.g.
londondataset) - They are publicly available datasets with some preparation to facilitate their use (e.g.
quakesdataset)
Simple publicly available datasets will not be generally considered, for instance R datasets like AirPassengers will not be stored in ForecastData since they can be easily accessed via RCall.
The current available datasets are:
| Name | Description |
|---|---|
| co2 | Atmospheric Carbon Dioxide Dry Air Mole Fractions from quasi-continuous measurements at Mauna Loa, Hawaii from 1973 to 2020 |
| london | Monthly data on weather and crime in Greater London from 2008 to 2018 |
| quakes | Earthquakes with a magnitude higher or equal to six from 1638-06-11 to 2021-10-02 |
| seaborne | Seaborne trade for France, Germany and the United Kingdom from 2015-04-01 to 2021-05-02 |
