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Pivot Summary of Your Data

Paste your messy rows and get back clean pivot tables with totals, percentages, and the takeaways that matter.

What you get: A Markdown pivot sheet with a data profile, 3-5 pivot tables (totals, cross-tabs, time trends, % of total), key findings tied to exact numbers, data-quality flags, a ready-to-paste CSV of the main pivot, and step-by-step instructions to rebuild it as a live pivot in Excel or Google Sheets. Price: $19 flat. Time: usually ready in minutes. Done by AI; you review it, with one free change.

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Real example

This is an actual result our AI made in a test run, from sample details. Yours is made from your details.

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Pivot Summary: Q1 2024 Widget Sales by Region, Product and Month

Views built: These follow your request. They are Revenue and Units by Region, by Product, by Region × Product, and by Month (with a Month × Region view to show where the growth came from).

Data at a glance

Item Detail
Format Comma-separated, header row present
Rows in paste 17 data rows (no partial or cut-off rows)
Rows analyzed 16
Rows excluded 1 (2024-03-12, Region = "TEST", Sales Rep = "Admin", 1 unit, $0.00), per your note
Refund rows kept 1 (2024-03-31, North, Widget B: −2 units, −$70.00), kept as a negative per your note
Date range 2024-01-04 to 2024-03-31 (3 months)
Date Date (all YYYY-MM-DD, consistent)
Region Dimension (West, East, North)
Product Dimension (Widget A, Widget B, Widget C)
Sales Rep Dimension (4 values in the paste; 3 after excluding TEST)
Units Measure (whole numbers; one negative)
Revenue Measure (USD; no currency symbols or thousands separators; minus sign = negative)
Total Revenue (net) $3,455.00 (gross sales $3,525.00 minus $70.00 refund)
Total Units (net) 115 (117 sold minus 2 refunded)

Normalization applied: One merge. "east" (2024-01-29, 1 row) became "East", because the two labels differ only in case. No other labels were changed.

Headline findings

  • Top region: West brought in the most revenue at $1,685.00 (48.8%), ahead of East at $945.00 (27.4%) and North at $825.00 (23.9%).
  • Top product: Widget A led with $1,320.00 (38.2%), followed by Widget B at $1,225.00 (35.5%) and Widget C at $910.00 (26.3%).
  • Top combination: West × Widget B was the single largest cell at $665.00.
  • Month-over-month growth: yes. Revenue grew each month:
    • January: $1,015.00
    • February: $1,130.00 (+11.3%)
    • March: $1,310.00 (+15.9%)
    • March is net of the $70.00 refund. Gross March sales were $1,380.00.
  • Units did not rise every month. They went 41 → 31 → 43. February had fewer units but more revenue, because 3 of its 5 sales were Widget C, the highest-priced product.
  • Unit prices were consistent: every row priced Widget A at $20.00, Widget B at $35.00 and Widget C at $65.00. Widget C sold the fewest units (14, or 12.2%) but still produced 26.3% of revenue.

Pivot tables

1. Revenue and Units by Region

Rows: Region. Values: Sum of Revenue, Sum of Units, % of total, and row count.

Region Revenue % of Revenue Units % of Units Rows
West $1,685.00 48.8% 52 45.2% 6
East $945.00 27.4% 30 26.1% 5
North $825.00 23.9% 33 28.7% 5
Grand Total $3,455.00 100.0% 115 100.0% 16

Revenue shares add to 100.1% because of rounding. Takeaway: West produced nearly half of all revenue. North sold more units than East but earned less revenue.

2. Revenue and Units by Product

Rows: Product. Values: Sum of Revenue, Sum of Units, % of total, and row count.

Product Revenue % of Revenue Units % of Units Rows
Widget A $1,320.00 38.2% 66 57.4% 6
Widget B $1,225.00 35.5% 35 30.4% 6
Widget C $910.00 26.3% 14 12.2% 4
Grand Total $3,455.00 100.0% 115 100.0% 16

Takeaway: Widget A leads on both revenue and units. Widget B is close behind on revenue with about half the units.

3. Revenue by Region × Product

Rows: Region. Columns: Product. Values: Sum of Revenue.

Region Widget A Widget B Widget C Total
West $500.00 $665.00 $520.00 $1,685.00
East $300.00 $385.00 $260.00 $945.00
North $520.00 $175.00 $130.00 $825.00
Total $1,320.00 $1,225.00 $910.00 $3,455.00

Takeaway: Widget B was the top product in West and East. In North, Widget A was strongest, and North's Widget B figure ($175.00) includes the −$70.00 refund.

4. Units by Region × Product

Rows: Region. Columns: Product. Values: Sum of Units.

Region Widget A Widget B Widget C Total
West 25 19 8 52
East 15 11 4 30
North 26 5 2 33
Total 66 35 14 115

Takeaway: North sold the most Widget A units of any region (26). North's Widget B figure (5) is net of the 2 refunded units.

5. Monthly Trend

Rows: Month. Values: Sum of Revenue, Sum of Units, % of total, and change from the prior month.

Month Revenue % of Revenue Change vs Prior Month Units Rows
2024-01 $1,015.00 29.4% n/a 41 5
2024-02 $1,130.00 32.7% +$115.00 (+11.3%) 31 5
2024-03 $1,310.00 37.9% +$180.00 (+15.9%) 43 6
Grand Total $3,455.00 100.0% n/a 115 16

Takeaway: Revenue grew in both February and March, and the March gain was larger.

6. Revenue by Month × Region

Rows: Month. Columns: Region. Values: Sum of Revenue.

Month West East North Total
2024-01 $480.00 $295.00 $240.00 $1,015.00
2024-02 $495.00 $260.00 $375.00 $1,130.00
2024-03 $710.00 $390.00 $210.00 $1,310.00
Total $1,685.00 $945.00 $825.00 $3,455.00

Takeaway: West grew every month and alone added $215.00 in March. East and North each moved up and down, and North's March total includes the −$70.00 refund.

Totals check: Every pivot's grand total equals $3,455.00 in revenue and 115 units across 16 rows. The only gap from the raw paste is the excluded TEST row, which had $0.00 and 1 unit.

Data quality notes

  • Test row in the data: 2024-03-12, Region "TEST", Sales Rep "Admin." It was excluded here. *Fi

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