Guide
Filter by column with confidence
Reduce a big file to a focused view without losing context.
Pick a column that narrows the scope
Choose a column that limits the dataset in a meaningful way—region, owner, status, or date range. This becomes your primary filter.
- Prefer columns with a small number of categories
- Avoid columns that are mostly blank
- Pick the column that matches your question
Apply the column filter first
Filter to isolate the records you need, then use global search to refine within that slice. Layering filters keeps you focused.
- Filter to a single region or owner first
- Then search within the filtered view
- Reset filters if the row count looks wrong
Quick CTA
Slice large files without the mess
Readable CSV makes column filters and global search fast even on large exports.
Use the CSV viewerSort the remaining rows
Once filtered, sort by a numeric column to surface the most important entries. The combination of filter + sort is powerful.
- Sort by revenue, count, or priority
- Scan the top and bottom rows for outliers
- Note how many rows remain after filtering
Capture the filtered view
Once you have the right slice, save it or share it with a short note explaining the filters applied. This prevents confusion later.
- Include the filter criteria in your message
- Record the row count for context
- Confirm the filter still applies next time
Checklist
- Column filter narrows to the right slice
- Search refines the filtered rows
- Sorting surfaces the top results
Key takeaway
Filtering turns an overwhelming file into a focused dataset. Start broad, then narrow down.