Time-series data handling
Time series data is the series of data points that is captured against the time order. Here, we will cover how to deal with time-series data. In Kibana, we have Timelion, which is specially designed for handling time-series data. In the previous chapter, we covered Timelion and its methods, which we can use to play with time-series data. It provides us with methods that we can chain together to get the desired output. Here, we will cover the following:
- Conditional formatting: In conditional formatting, we will cover how we can color-code the time-series data based on applied conditions
- Tracking trends: Under tracking trends, we will user the
mvavg()Timelion function, through which we can plot a moving average graph to create a trend
Conditional formatting
Here, we will use Timelion to apply conditional logic on metricdata time-series data to track the trends with a moving average. Using this process, we can easily detect the patterns and outliers in a time series.
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