Displaying Continuous and Discrete Time Series Data
I have an existing analysis tool which compares two datasets:
- An Input message log
- An output message log
The tool compares the differences between the two sets by looking at:
- The number of each type of message
- The time each message came in
- The payload of each message ( could be discrete or continuous data, often several fields per message such as time-stamp, temperature etc)
There could be close to a million records in each dataset. I want to generate a visualization that focusses on what time a message from one set came in and if the corresponding message in the other set has a matching payload
Currently I display ticks on a timeline for each message type but cannot work out how to compare payloads in the same view. I know I could separate these visualizations, but I already have several others and don't want to clutter my dashboard more than is necessary. I want to give a human analyst as much useful data on screen as possible.
I would like to know if there is a standard accepted way to show this quantity of a mixture of discrete and continuous time series events?