Viewing your data
Inspect, filter, annotate, and visualize an experiment's processed tables.
Open an experiment and select Data. Each processed dataset appears as a tab with its display name and row count.
Inspect a table
- Select a dataset tab to change tables.
- Select a column heading to sort ascending or descending.
- Use filter chips to narrow rows by one or more columns.
- Change the rows per page or move through pages.
- Expand structured values when a cell cannot be read comfortably inline.
- Select rows to add or remove comments and quality annotations.
Numeric columns can open a quick table chart. This is useful for checking a distribution while cleaning data; it is not a saved analysis.
Build a saved visualization
Open the experiment's Analysis area and choose Visualizations. An admin can create a visualization, select a data table and columns, choose a chart type, and configure its style. Saved visualizations can also be placed on experiment dashboards.
The current interface supports many chart families, but a chart is only as sound as its data configuration. Check units, missing values, grouping, contributor anonymization, and the protocol version before interpreting a pattern.
Cross-experiment comparison and easy bulk exploration of raw fluorescence traces are known research needs, but they are not established as first-class workflows on this branch. Do not describe the in-app view as replacing a complete statistical analysis.
For R, Python, or another statistics tool, continue with Exporting data.