📊 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
10,48,576
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
Example: Count employees with specific designation
COUNTIFS
🎯🎯 Purpose: Multiple conditions counting
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
Transform and extract unique data simultaneously!
📊 Statistical Functions
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)
AR = (Number of Employees who Left / Total Number of Employees) × 100
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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