I am acquiring data on a per-minute basis and now have a couple of months of data (80000 samples). In order to keep the response time reasonable when initially rendering an 'overview' graph over a long time period, I skip input samples to keep the number of line graph data point down to about 1000. However, the associated focus chart works with the truncated dataset so I'm unable to take advantage of the skipped samples when zooming in. Is there an obvious way to mitigate this?
Great package of visualizations, btw, and a straightforward API. Many thanks.
I am acquiring data on a per-minute basis and now have a couple of months of data (80000 samples). In order to keep the response time reasonable when initially rendering an 'overview' graph over a long time period, I skip input samples to keep the number of line graph data point down to about 1000. However, the associated focus chart works with the truncated dataset so I'm unable to take advantage of the skipped samples when zooming in. Is there an obvious way to mitigate this?
Great package of visualizations, btw, and a straightforward API. Many thanks.