- Time series analysis is about finding patterns in temporal data and making predictions, forecasting, based on those patterns.
- What should we expect to happen next? (Time Series Analysis)
- Sales & Revenue
- Signal Processing
- Speech & Chatbots
- Economics
- Healthcare
- Stock Values
- Census Analysis
- Supply Chain
- Staffing
| Vocabulary | Definition |
|---|---|
| Temporal | Relating to time |
| Periodic | Occurring at intervals |
| Resampling in Time Sereis | Changing the frequency of your data points |
| Stationary Process | Distribution does not change over time |
| Trend | Long term progression (increasing, decreasing, e.g.) |
| Seasonality | Changes in patterns due to seasonal factors |
| Heteroskedasticity | Changes in variance over time |
| Autocorrelation | 'Regression of self', used to detect non-randomness in data. It is a correlation coefficient, but instead of between two different variables, it is between the values of the same variable at two different times |
| Lag Variables | Previous time steps |