Scope of this Tutorial
The aim of this tutorial is to upload and analyze real data on the Warp 10 Sandbox instance. This is a first step before trying your own data on the Warp 10 Sandbox instance and then on your very own instance!
One of the strengths of Warp 10 is to be able to analyze time series where each point is geolocalized. Fear not if your own data is not geolocalized, this is optional, and Warp 10 also shines with pure time series.
Going back to geolocalized time series, or Geo Time Series for short, we choose to use a sample of the International Best Track Archive for Climate Stewardship (IBTrACS) data for this tutorial. Indeed, this dataset contains wind speeds, pressures and also locations for tropical cyclones during the years 2010 to 2015. You can see why it fits perfectly the Geo Time Series model: wind speeds and pressures are the time series and, as cyclones move on the globe, we can geolocalize these values.