📈 What is Descriptive Analytics?
Descriptive analytics is all about summarizing and understanding past data to answer the question:
"What happened?"
It involves collecting, organizing, and presenting historical data in a way that’s easy to understand.
🧰 Tools & Techniques Used:
- Measures of central tendency: Mean, median, mode
- Measures of dispersion: Range, variance, standard deviation
- Data visualization: Charts, graphs, dashboards
- Summary statistics: Totals, counts, percentages
- Trend analysis: Looking at how metrics change over time
🧪 Real-World Examples:
- Business: Monthly sales reports, website traffic over time, customer churn rates
- Education: Student performance reports by subject or term
- Healthcare: Number of patients seen per week, common diagnoses by age group
- Social Media: Average likes per post, engagement over time
🧠 Why It Matters:
Descriptive analytics helps identify patterns and spot trends, giving you a foundation for deeper analysis like predictive or prescriptive analytics.
Would you like a visual example or dashboard layout for descriptive analytics?