Datasets
Collection of datasets to demostrate the use of Time Series analysis
air
The classic Box & Jenkins airline data. Monthly totals of international airline passengers from 1949 to 1960.
Forecast.air
— FunctionPackage: Forecast
air()
Return the classic Box & Jenkins airline data. Monthly totals of international airline passengers from 1949 to 1960.
Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1976) Time Series Analysis, Forecasting and Control. Third Edition. Holden-Day. Series G.
Returns
Dataframe containing the descrived dataset.
Examples
julia> air()
71×2 DataFrame
Row │ year quakes
│ Date Int64
─────┼────────────────────
1 │ 1950-01-01 138
2 │ 1951-01-01 151
3 │ 1952-01-01 181
[...]
co2
Atmospheric Carbon Dioxide Dry Air Mole Fractions from quasi-continuous measurements at Mauna Loa, Hawaii.
Forecast.co2
— FunctionPackage: Forecast
co2(full = false)
Return dataset with atmospheric Carbon Dioxide Dry Air Mole Fractions from quasi-continuous measurements at Mauna Loa, Hawaii.
K.W. Thoning, A.M. Crotwell, and J.W. Mund (2020), Atmospheric Carbon Dioxide Dry Air Mole Fractions from continuous measurements at Mauna Loa, Hawaii, Barrow, Alaska, American Samoa and South Pole. 1973-2019, Version 2020-08 National Oceanic and Atmospheric Administration (NOAA), Global Monitoring Laboratory (GML), Boulder, Colorado, USA https://doi.org/10.15138/yaf1-bk21 FTP path: ftp://aftp.cmdl.noaa.gov/data/greenhouse_gases/co2/in-situ/surface/
Arguments
full
: iftrue
Returns the full original dataset from 1973 to 2020 in a DataFrame, otherwise returns the subset used in "STL: A Seasonal-Trend Decomposition Procedure Based on Loess" from Cleveland et. al. Its default value isfalse
.
Returns
Dataframe containing the descrived dataset.
Examples
julia> co2()
[ Info: Dataset used in Cleveland et al. paper
4612×2 DataFrame
Row │ date co2
│ Date Float64?
──────┼────────────────────────
1 │ 1974-05-17 333.38
2 │ 1974-05-18 333.11
3 │ 1974-05-19 333.46
[...]
quakes
Number of earthquakes per year on earth with a magnitude higher or equal to six from 1950 to 2020.
Forecast.quakes
— FunctionPackage: Forecast
quakes()
Return the number of earthquakes per year on earth with a magnitude higher or equal to six from 1950 to 2020. The data has been collected from https://earthquake.usgs.gov/ and aggregated.
Examples
julia> quakes()
71×2 DataFrame
Row │ year quakes
│ Date Int64
─────┼────────────────────
1 │ 1950-01-01 138
2 │ 1951-01-01 151
3 │ 1952-01-01 181
[...]
seaborne
Estimates of world seaborne trade from AIS data collected by MarineTraffic; available at UN COMTRADE Monitor.
Forecast.seaborne
— FunctionPackage: Forecast
seaborne(full = false)
Return estimates of world seaborne trade from AIS data collected by Marine Traffic.
By default a DataFrame containing deadweight imports for France, Germany and the United Kingdom from 2015-04-01 to 2021-05-02 is returned, otherwise a DataFrame is returned for the same countries with import and exports for the below fields:
numpc: number of port calls mtc: metric tons of cargo dwt: deadweight tonnage suffixma: 30-day moving averages
Data available at UN COMTRADE Monitor.Cerdeiro, Komaromi, Liu and Saeed (2020).
Returns
Dataframe containing the seaborne dataset.
Examples
julia> seaborne()
[ Info: Seaborne deadweight trade imports from AIS
2199×4 DataFrame
Row │ Date France Germany UK
│ Date Int64 Int64 Int64
──────┼──────────────────────────────────────
1 │ 2015-04-01 507946 878377 599573
2 │ 2015-04-02 332043 1501614 772714
3 │ 2015-04-03 810077 941663 262994
[...]