VSThiran

What's actually in this spreadsheet? Check before you build on it

Quick answer

Open the Data Profiler - it shows what each column actually contains, how much is missing, and where the likely quality problems are, without changing your file at all.

  1. 1Upload your spreadsheet.
  2. 2Read the column-by-column summary.
  3. 3Check what is missing or inconsistent.
  4. 4Decide what needs cleaning before you use it.

Free, no sign-up, and your file is read on your own device rather than uploaded.

A spreadsheet you did not build yourself - inherited from a colleague, exported from another system, downloaded from somewhere - often has a gap between what it looks like and what it actually contains. A column that looks like dates might be a mix of dates and text. A column that looks complete might be a third empty.

This reads every column and reports what is actually there: the data type, how much is missing, how many distinct values exist, and specific quality issues - before you build a report, a lookup or an analysis on data you have not actually checked.

Step by step

  1. Upload your spreadsheet

    Read locally in your browser - nothing changes about the file.

    See What Is in My File
  2. Read the column summary

    Each column, its detected type, how much data is missing, and how many distinct values it holds.

    See What Is in My File
  3. Check the quality flags

    Specific issues - inconsistent formatting, unexpected types, likely duplicates - called out per column.

    See What Is in My File
  4. Decide what needs fixing

    Use the findings to decide whether to clean the data first, or which columns are safe to build on as-is.

    See What Is in My File

Tips

  • Run this before a VLOOKUP or comparison against another file - if the key column has mixed types or a lot of missing values, that explains a lookup failure before it happens rather than after.
  • A column that looks like numbers but is flagged as text usually means the export stored them as text - clean the file first, since totals and lookups both behave differently for text-that-looks-like-a-number versus a real number.
  • Use this alongside Data Cleaner: profile first to see what is actually wrong, then clean the specific issues it found rather than guessing.

Common problems

A column you assumed was complete turns out to have a lot of missing values.

The profiler reports exactly how much is missing per column - decide whether to fill it, exclude those rows, or treat the column differently in whatever you build next.

A number column is not behaving like numbers in a formula or lookup.

Check the detected type - if it shows as text rather than numeric, the values are stored as text and need converting (Data Cleaner does this) before arithmetic or an exact numeric match will work correctly.

Frequently asked questions

Does profiling change my data?
No - it only reads and reports on the file. Nothing is modified.
What does it check for each column?
The detected data type, how many values are missing, how many distinct values exist, and specific quality issues like inconsistent formatting or likely duplicates.
Should I profile before or after cleaning?
Before - profiling tells you what is actually wrong, which makes cleaning more targeted than guessing which fixes to apply.
Is my spreadsheet uploaded to a server?
No. Profiling happens entirely on your own device, in your browser.

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Ready to do it?

Free, no sign-up, and nothing is uploaded to a server.