https://github.com/maazie-khan/austin-housing-insights-powerbi

Worked with a real estate dataset, we will build a tool to evaluate trends and drivers of house prices around Austin, Texas.
https://github.com/maazie-khan/austin-housing-insights-powerbi

dashboard data-analysis data-science data-visualization database powerbi

Last synced: 4 days ago
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Worked with a real estate dataset, we will build a tool to evaluate trends and drivers of house prices around Austin, Texas.

• Host: GitHub
• URL: https://github.com/maazie-khan/austin-housing-insights-powerbi
• Owner: Maazie-Khan
• Created: 2024-09-12T19:41:12.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2024-09-12T20:10:50.000Z (21 days ago)
• Last Synced: 2024-09-26T01:10:42.059Z (8 days ago)
• Topics: dashboard, data-analysis, data-science, data-visualization, database, powerbi
• Homepage:
• Size: 10.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Austin Housing Data Insights

## Overview

This project provides an interactive analysis of the Austin housing market, aiding buyers, real estate professionals, and policymakers. It explores property features, location data, and school influences on housing trends, focusing on:

- Property features' impact on prices

- Property distribution by location and price

- The influence of local schools on property values

![austin](https://github.com/user-attachments/assets/98e68e06-8c5b-4a37-831b-e3a2257852eb)

## Solution Approach

### 1. Data Modeling

- **Data Preparation**: Imported and cleaned data, organized into fact and dimension tables.

- **Star Schema**: Created for efficient querying, focusing on property data, locations, features, and schools.

### 2. Visualization

- **Summary View**: Key metrics, property types, and distribution by features.

- **Location View**: Property distribution by price, using slicers and maps.

- **School View**: Impact of school ratings on property values.

- **Features View**: Analysis of specific features on pricing.

### 3. Interactivity

- **Navigation**: Integrated buttons, bookmarks, and a collapsible filter panel for ease of use.

- **Cover Page**: Designed with icons for streamlined access to different views.

### 4. Data Analysis

- **Advanced DAX**: Used for dynamic calculations, chart titles, and feature impact analysis.

## Tech Stack

- **Data Handling**: Microsoft Excel, Power BI Desktop

- **Visualization**: Power BI (visuals, interactivity, navigation)

- **Data Analysis**: DAX for complex calculations

## Dashboard Preview

https://github.com/user-attachments/assets/6d4312e1-aa8f-428a-90c7-1d3cd07cea60