Table Analysis & Summaries
Profile spreadsheet data and create counts, statistics, summaries, and reports. Every tool is designed for a focused task and a straightforward browser workflow.
All Table Analysis & Summaries tools
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Browse category →Turn a raw table into a quick picture of what is actually in it
Before building charts or a formal report, it helps to understand the table itself: how many records it contains, which values repeat, where blanks appear, how numbers are distributed, and whether categories are balanced or unexpectedly sparse. Summary tools provide that first-pass view without requiring a full spreadsheet model.
Use summaries as a starting point rather than the final conclusion. A high average can be driven by a handful of extreme values, counts can be misleading when duplicates are present, and blank cells may represent either missing data or “not applicable.” For business reporting, compare several measures—count, range, median, totals, and category breakdowns—before deciding what the dataset is saying.
Practical tips
- Check record count and missing values before interpreting percentages.
- Use median alongside average when values are heavily skewed.
- Review the most common categories for spelling variants that split the counts.
- Separate zero from blank when they have different business meanings.
- Compare summaries across time periods using the same filters and definitions.