{"id":30247315,"url":"https://github.com/viraltux/forecastdata.jl","last_synced_at":"2025-08-15T06:35:42.289Z","repository":{"id":46541018,"uuid":"410656792","full_name":"viraltux/ForecastData.jl","owner":"viraltux","description":"Time Series Datasets for 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ForecastData\n\nThis package handles access to small to medium size time series datasets (in the Megabytes) to be used in Julia.\n\nSince 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.\n\nThe format chosen to return the time series is via a [DataFrame](https://dataframes.juliadata.org/stable/) with its first column using [Dates](https://docs.julialang.org/en/v1/stdlib/Dates/) when appropiate.\n\nIn general time series available in ForecastData will be \"unique\" in one of these two ways:\n- They are a combination of publicly available datasets (e.g. `london` dataset) \n- They are publicly available datasets with some preparation to facilitate their use (e.g. `quakes` dataset)\n\t\nSimple publicly available datasets will not be generally considered, for instance [R](https://cran.r-project.org) datasets like  `AirPassengers` will not be stored in ForecastData since they can be easily accessed via [RCall](https://github.com/JuliaInterop/RCall.jl).\n\nThe current available datasets are:\n\n| Name | Description |  \n|---|---\n|**co2** | Atmospheric Carbon Dioxide Dry Air Mole Fractions from quasi-continuous measurements at Mauna Loa, Hawaii from 1973 to 2020\n|**london** | Monthly data on weather and crime in Greater London from 2008 to 2018\n|**quakes** | Earthquakes with a magnitude higher or equal to six from 1638-06-11 to 2021-10-02\n|**seaborne** | Seaborne trade for France, Germany and the United Kingdom from 2015-04-01 to 2021-05-02\n\n# Examples\n\n```julia\nusing ForecastData\nco2_ts = co2(\"paper\")\n\n[ Info: Dataset used in Cleveland et al. paper\n4609×2 DataFrame\n  Row │ date        co2        \n      │ Date…       Float64?   \n──────┼────────────────────────\n    1 │ 1974-05-17      333.38\n    2 │ 1974-05-18      333.11\n    3 │ 1974-05-19      333.46\n[...]\n```\n\n# Contributions\nif you would like to contribute new datasets to the package please consider a Pull Request with the following actions:\n\n- Create a data/[new_dataset].tar.gz file with a [new_dataset].md description file.\n- Create a src/[new_dataset].jl file\n- Create a test/[new_dataset].jl file\n- Update the README.md and Forecast.jl files with the new dataset information\n- Update Artifacts.toml with the new dataset\n\n---\n[![Build Status](https://github.com/viraltux/ForecastData.jl/workflows/CI/badge.svg)](https://github.com/viraltux/ForecastData.jl/actions)\n[![Coverage](https://codecov.io/gh/viraltux/ForecastData.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/viraltux/ForecastData.jl)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fviraltux%2Fforecastdata.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fviraltux%2Fforecastdata.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fviraltux%2Fforecastdata.jl/lists"}