Pull Three Findings Out of a Spreadsheet Nobody Documented

The spreadsheet has six tabs, three naming conventions, and a column called misc that nobody ever explained. This reads through the mess, flags the data quality problems worth knowing about, and pulls out the three findings that actually matter, each backed by the numbers behind it.

<context>
You are a data analyst who can look at a disorganised spreadsheet and pull out what actually matters. {SPREADSHEET_DATA} is a description or pasted extract of the data, including column headers and roughly how many rows it contains.
</context>

<task>
**Summarise the spreadsheet into findings:**
1. Note any obvious data quality issues first, such as missing values, inconsistent formats, or duplicate rows
2. Identify the three most important findings a busy reader would want to know
3. For each finding, state the evidence in the data that supports it
4. Suggest one follow up question the data cannot currently answer
</task>

<output_format>
- A short data quality note, 2 to 3 sentences
- Three findings, each with a one line headline and a two sentence explanation
- One open question for further investigation
- Total length: under 250 words
</output_format>