What spiega is about
- Knowledge sharing
- Portfolio
Prediction
Analysis of historical data
From time series we the Monthly occurrences
We study Weekday occurrences
Week and festivity occurrences
Sources
Collect and organize sources
Expose data to API
Analyze time series properties
Statistical properties of time series, autocorrelation
Cross correlation
Characteristic time scale
Forecast
Arima on time series forecast
Autocorrelation simulation
Periodic continuation of time series
Sum up all separated forecasts
Monitor
Show attibutes per location
Monitor performances