Real Estate Dataset Practice

🔹 Dataset Overview

This dataset contains real estate property data, including location, property type, pricing, and number of bedrooms.
It is designed to help beginners practice analyzing housing trends and pricing patterns.
 

🔹 Dataset Source

Source: Created for learning purposes
This dataset is designed to simulate real-world real estate data for analysis practice.
 

🔹 Learning Objectives

  • Analyze property pricing trends
  • Compare prices across locations
  • Understand property distribution
  • Identify high-value properties
  • Generate insights from housing data
 

🔹 Tools You Can Use

  • Microsoft Excel
  • Power BI
  • Google Sheets
 

🔹 Download Dataset

 

🔹 Practice Tasks

  • Identify the most expensive properties
  • Compare average prices by location
  • Analyze price trends over time
  • Determine which property type is most common
  • Find the location with highest average price
 

🔹 Challenge

Build a dashboard that:
  • Shows property price distribution
  • Compares locations
  • Identifies trends
  • Gives 2–3 recommendations
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