# Grok — Excel, raw output

- Date: 2026-09-17, sent 09:21 (+07), "Работало на протяжении 4m 55s" then streamed the summary; the last sentence never finished ("Works when you add"). Free tier, "Быстрый" mode, interface Russian, answer in English. File attached through the composer's own hidden input.
- Capture: page text via JS and screenshots. Loaded an "xlsx" skill, ran five commands on its sandbox ("Команда Ran cd" ×5), then "Summarizing the analysis results". The whole answer, including the file card, is rendered inside the collapsible work log; with the log folded the message looks empty except for three follow-up chips.
- First read: every number exact - months €1,538.60 / €847.40 / €1,009.50, categories Home 1,399.00 / Pantry 1,109.70 / Drinks 886.80, Vinho Verde 750ml 42 units, four duplicates, five mismatches with old and new values. Fault list covers all eight classes in six bullets. Returned "orders-q2-cleaned.xlsx (120 unique rows)"; the in-chat preview shows the Date column as raw serial numbers (46113…), which is either a preview quirk or unformatted dates in the file - checked below. Formula is a whole-column SUMIFS with hard-coded DATE bounds, one month per paste.

## Answer

What's wrong & fixed

Issues found:

- Inconsistent dates (mixed formats: `YYYY-MM-DD`, `DD/MM/YYYY`, `Apr 23, 2026`)
- Unit prices with euro signs & commas (`€21,00` → 21.00)
- Inconsistent product names (case, spacing, "750 ml" vs "750ml", etc.)
- 8 missing Categories, 2 missing Regions, 3 missing Qty
- 4 exact duplicate rows (PT-1027, PT-1075, PT-1085, PT-1120)
- 5 rows where Total ≠ Qty × Unit Price

Cleaned file (120 unique rows):

[orders-q2-cleaned.xlsx - preview: Order ID · Date (shown as 46113, 46115, 46116…) · Customer · Product · Category · Qty · Unit Price · … ]

2. Summary (from cleaned data)

| Month | Revenue |
|---|---|
| Apr 2026 | 1 538.60 |
| May 2026 | 847.40 |
| Jun 2026 | 1 009.50 |

| Category | Revenue |
|---|---|
| Home | 1 399.00 |
| Pantry | 1 109.70 |
| Drinks | 886.80 |

Most units sold: Vinho Verde 750ml (42 units)

3. Duplicates & Total mismatches

Exact duplicates (removed): PT-1027, PT-1075, PT-1085, PT-1120

Total mismatches (fixed to Qty × Unit Price):

- PT-1028: 1 × 4.9 → was 1.9
- PT-1037: 2 × 8.9 → was 16.6
- PT-1101: 1 × 13.5 → was 18.5
- PT-1010: 1 × 9.6 → was 8.4
- PT-1039: 1 × 8.9 → was 7.7

4. Dynamic formula for revenue per month

Assuming Date is in column B and Total in column H (headers in row 1):

    =SUMIFS(H:H,B:B,">="&DATE(2026,4,1),B:B,"<"&DATE(2026,5,1))

Change the month numbers for May/June. Works when you add [the message stops here]

[Suggested follow-ups: Analyze regional sales performance · Explore customer purchase frequency · Add revenue per category breakdown]