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Practical 5: Pivot Tables – Nationality, Department & Client Analysis

Lesson 5 of 14 in the free Statistical Analysis using Excel Lab notes on Siksha Sarovar, written by Rohit Jangra.

Theoretical Questions

a) What is a Pivot Table? A Pivot Table is an interactive Excel tool that summarizes, analyzes, and explores large datasets by allowing users to rearrange (pivot) rows and columns dynamically without altering the original data.

b) Advantages of Using Pivot Table

  1. Quickly summarizes thousands of rows into a compact report
  2. No complex formulas required — drag-and-drop interface
  3. Allows grouping, filtering, and sorting of data easily
  4. Supports dynamic updates when source data changes (Refresh)
  5. Can calculate Sum, Count, Average, Max, Min, etc. automatically
  6. Enables cross-tabulation (rows vs. columns analysis)

c) Four Main Areas of Pivot Table Layout

AreaDescriptionExample
FiltersFilters the entire table by a selected fieldFilter by Year
ColumnsDisplays unique values of a field as column headersDepartment names
RowsDisplays unique values of a field as row labelsLocation names
ValuesShows aggregated data (Sum, Count, Average, etc.)Count of Employees

d) Steps to Create a Pivot Table

  1. Click any cell inside the dataset
  2. Go to Insert → Pivot Table
  3. Choose New Worksheet or Existing Worksheet
  4. Drag fields into the four areas (Filters, Columns, Rows, Values)
  5. Excel automatically calculates the summary

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Practical Task

Sample Dataset (Employee Multi-Location Data)

EmpIDENameNationalityLocationDepartmentClient
E001Aman SharmaIndianDelhiITTechCorp
E002John SmithAmericanMumbaiFinanceGlobalInc
E003Riya JainIndianBangaloreHRTechCorp
E004Li WeiChineseDelhiITDataSoft
E005Priya SinghIndianMumbaiFinanceGlobalInc
E006Mark BrownAmericanBangaloreITTechCorp
E007Neha GuptaIndianDelhiHRDataSoft
E008Carlos M.SpanishMumbaiITGlobalInc
E009Sunita RaniIndianBangaloreFinanceTechCorp
E010David LeeAmericanDelhiITDataSoft
E011Pooja RawatIndianMumbaiHRTechCorp
E012Anna K.GermanBangaloreFinanceGlobalInc

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Pivot Table A: Number of Nationality per Location

  • Rows: Location
  • Columns: Nationality
  • Values: Count of EmpID

Pivot Table B: Number of Department / Location / Client

  • Rows: Location, Department
  • Columns: Client
  • Values: Count of EmpID

Pivot Table C: Number of Client / Location / Nationality

  • Rows: Location, Client
  • Columns: Nationality
  • Values: Count of EmpID