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Learn how to use the Chart.js Decimation plugin to render massive time-series datasets without crashing the browser, using LTTB to preserve data peaks.
When plot() runs without error but RStudio's Plots pane stays blank, the output is usually going to the wrong graphics device. Here's how to diagnose and fix it, step by step.
Plotly offers SVG and WebGL rendering for scatter plots. Learn when to switch from go.Scatter to go.Scattergl for large point sets, what features you lose, and how to verify the change.
Chart.js's built-in decimation plugin downsamples huge line datasets to roughly the canvas pixel width. Here's how to enable it, choose between min-max and LTTB, and handle the fidelity trade-off.
Plotly's default SVG scatter traces freeze the browser at large point counts. Scattergl switches rendering to WebGL with a one-word change — here's what you gain, what you give up, and when downsampling beats both.
Kibana Lens turns most everyday chart-building into a drag-and-drop task. Here's how it works, a concrete error-rate example, and where it falls short.
When dashboards push data every few seconds, destroying and recreating Chart.js instances hurts performance. This blog shows how to mutate data in place, call <code>.update()</code> with optional animation settings, and measure FPS for real‑time charts.
When Plotly scatter charts lag or crash with >100k points, switch to scattergl, downsample, or set static dimensions. This guide walks through diagnosis, checks, fixes, and escalation steps.
Learn when to switch from Plotly's default SVG rendering to WebGL (scattergl) to handle large datasets without crashing your browser.
chartjs
rstudio
plotly
javascript
python
kibana
elasticsearch