Tracking what happens in your pipeline | Your first trail | Operation-aware taps | Join taps | Filter taps | Comparing snapshots | Full audit report | Domain-specific diagnostics | Snapshot controls | Tabulation in pipelines | Standalone mode | Exporting and sharing trails | Converting to R objects | Saving and loading trails | HTML visualization

Before you join | Different key names | Tracking the impact on a metric | Are your keys unique? | Beyond uniqueness: what's the relationship? | What changed between versions? | Filter with visibility | filter_keep | filter_drop | Warning thresholds | Diagnose data quality | Missing values | Column summaries | Frequency tables | One-way tables | Sorting and cutoffs | Two-way crosstabulations | Weighted tabulation | String quality | Audit your transformations | Character vectors | Numeric vectors | Date vectors | Factor vectors | Logical vectors

Example data | Step 1: Validate primary keys | Step 2: Validate the join | Step 3: Filter with diagnostics | Step 4: Compare before and after | Step 5: Check data quality | Missing values | String quality | Date coverage | Step 6: Summarize columns | Auditing cleaning operations | Further reading