Day 4 - Excel Functions & Formulas

📊 Day 4: Excel Functions & Formulas

Mastering Data Analysis

Ghaziabad, Mohan Nagar

Drafted by: HR Prateek Sharma

Microsoft Excel

Complete Data Solution: Store • Clean • Transform • Analyze • Report

Total Rows
10,48,576
Total Columns
16,384

📈 Counting Functions

COUNT

📊 Purpose: Counts numerical data only

Used for counting cells containing numbers

COUNTA

📝 Purpose: Counts textual data

Used for counting cells containing any text or data

COUNTIF

🎯 Purpose: Single condition counting

Syntax: =COUNTIF(range, criteria)

Example: Count employees with specific designation

COUNTIFS

🎯🎯 Purpose: Multiple conditions counting

Syntax: =COUNTIFS(range1, criteria1, range2, criteria2, ...)

Example: Count employees with specific department AND salary range

🔧 Data Transformation Functions

UNIQUE

Purpose: Extract unique/specific data

Removes duplicate values and shows only distinct entries

Use case: Finding unique employee IDs, departments, or dates

TRANSPOSE

🔄 Purpose: Change data alignment

Converts rows to columns and columns to rows

Use case: Restructuring data layout for better analysis

💡 Power Combo: TRANSPOSE + UNIQUE
Transform and extract unique data simultaneously!

📊 Statistical Functions

AVERAGE (AVG)
MINIMUM (MIN)
MAXIMUM (MAX)

AVERAGE: Calculate mean values (salary, age, performance scores)

MIN: Find lowest values (minimum salary, youngest age)

MAX: Find highest values (maximum salary, oldest age)

🎯 Key HR Metric: Attrition Rate (AR)

Attrition Rate Formula:

AR = (Number of Employees who Left / Total Number of Employees) × 100
Example Calculation:
If 45 employees left from a total of 1500
AR = (45 / 1500) × 100 = 3%

📋 Excel Capabilities Summary

  • Data Storage: Store large datasets efficiently
  • Data Cleaning: Remove duplicates, fix errors, standardize formats
  • Data Transformation: Restructure and reorganize data
  • Data Analysis: Perform calculations and statistical analysis
  • Dashboard/Reports: Create visual representations and insights

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