Making sense of timeseries analysis

Even if you haven't heard of data described as a "timeseries," you've probably seen examples out in the wild. As the name suggests, a timeseries is a representation of an event over a period of time. That could mean representing many different changes: the highs and lows of your curling ice temperature over a year, the number of cars that drive across a bridge every day — or, more relevantly, your application usage data, such as error rates over time or the growing number of activations per day. With enough data collected — that is, over a long enough time period — you can start to forecast future trends using timeseries analysis.
https://blog.sensu.io/makingsenseoftimeseriesanalysis
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