Time series
Time series data is the data that collectively represents how a system's behavior changes over time. Essentially, applications relay a form of data that measures how things change over time. Time is not only regarded as a variable being captured; time is the primary focal point. Real-world examples of time series data include the following:
- Self-driving cars that continuously collect data to capture the ever-changing driving conditions or environment
- Smart homes that capture events such as a change in temperature or motion
Metric versus events
Metrics are time series measurements gathered at regular intervals. Events are time series measurements gathered at irregular time intervals.
The following are some characteristics that qualify data as time series data:
- Data that arrives is always recorded as a new entry.
- Data arrives in time order.
- Time is the primary axis.
Adding a time field to the dataset is not the same as time series data...