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15. Final Project: FreshGo Maharashtra Monthly Report

15.4 Stage 3 – PivotTable Analysis

Steps in Excel

  1. On a Calc sheet build pivots from tblOrders (Module 13.3): pvtCity (City × Sum of Amount, Status = Delivered), pvtTrend (Order Date by day), pvtCategory (Category × City), pvtOnTime (City × On Time, Show Values As % of Row Total), pvtKPI.
  2. City vs target: next to pvtCity, =GETPIVOTDATA("Sum of Amount",$A$3,"City","Pune")/XLOOKUP("Pune",tblTargets[City],tblTargets[Monthly target]).
  3. Top categories per city: in pvtCategory use Row Labels filter › Value Filters › Top 10… › Top 3 Items by Sum of Amount.
  4. Write each answer to the five questions in one sentence on the Notes sheet.

Worked example – answer format (your numbers will differ).

Question Answer (example)
Q2 City Pune gave the highest sales (about 37%); Solapur is at 92% of target.
Q3 Trend Daily sales rose sharply from 14-09-2026 with the Ganeshotsav start, with modaks and pooja items leading.
Q5 Delivery All cities except Nagpur delivered ≥ 90% of orders within 12 minutes.

About this data: Teaching sample for a fictional shop “Orbit Logistics”. Figures and names (e.g. Meera Joshi) are made up for this lesson on stage 3 pivottable analysis.

Ravindra Bagale's Tip

Many students build pivots but don't write the "answer" from them – they just show numbers. A manager doesn't want numbers; they want a conclusion: "Solapur is at 92% of target". Write one sentence for each question, and use that same sentence as the chart title on the dashboard.

Practice task

Build the five pivots, calculate achievement vs target for all six cities, and write one-sentence answers to all five brief questions on the Notes sheet.

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  1. Total sales (Easy): Add up Sales (₹) in E2:E11. (sheet "Data")
  2. Average orders (Easy): Average of Orders in D2:D11, rounded to 1 decimal. (sheet "Data")
  3. Pune rows (Easy): How many rows have City "Pune"? (sheet "Data")
  4. Max sales (Easy): Largest Sales (₹) in E2:E11. (sheet "Data")
  5. Grocery count (Easy): How many rows have Category "Grocery"? (sheet "Data")
  6. Pune sales (Medium): Total of Sales (₹) where City is "Pune". (sheet "Data")
  7. Snacks orders (Medium): Total of Orders where Category is "Snacks". (sheet "Data")
  8. May grocery sales (Medium): Sales where Month is "May" and Category is "Grocery". (sheet "Data")
  9. Pune share (Medium): Pune sales / all sales, 3 decimals. (sheet "Data")
  10. Jun sales (Hard): Total of Sales (₹) where Month is "Jun". (sheet "Data")
  11. High order rows (Hard): How many rows have Orders > 100? (sheet "Data")
  12. Above avg sales? (Hard): "High" if E2 > average sales else "Low". (sheet "Data")
  13. Unique cities (Hard): How many unique City values? (sheet "Data")

Quick revision cards

Three standalone cards. Each one explains the idea with its own example. Scan the QR to open this lesson.

Revision card 1: What is Stage 3 Pivottable Analysis?
Card 1: What is Stage 3 Pivottable Analysis? · Download PNG
Revision card 2: Tiny example — Stage 3 Pivottable Analysis
Card 2: Tiny example — Stage 3 Pivottable Analysis · Download PNG
Revision card 3: Checklist — Stage 3 Pivottable Analysis
Card 3: Checklist — Stage 3 Pivottable Analysis · Download PNG