https://github.com/nishumehta/house-sales-analysis
House Sales Analysis Dashboard for King County, Washington, built with Tableau. Features interactive charts and maps to explore sales patterns, price distributions, and property conditions.
https://github.com/nishumehta/house-sales-analysis
dashboard data-analysis data-visualization tableau tableau-dashboards tableau-public
Last synced: 7 months ago
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House Sales Analysis Dashboard for King County, Washington, built with Tableau. Features interactive charts and maps to explore sales patterns, price distributions, and property conditions.
- Host: GitHub
- URL: https://github.com/nishumehta/house-sales-analysis
- Owner: NishuMehta
- Created: 2025-01-15T18:02:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-16T07:52:01.000Z (over 1 year ago)
- Last Synced: 2025-02-16T08:26:15.179Z (over 1 year ago)
- Topics: dashboard, data-analysis, data-visualization, tableau, tableau-dashboards, tableau-public
- Homepage: https://public.tableau.com/app/profile/nishu.mehta/viz/HouseSalesAnalysis_17372172007270/HouseSalesAnalysis
- Size: 2.45 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🏡 King County, Washington House Sales Analysis (Tableau)
This project is a **house sales analysis dashboard** for **King County, Washington**, created using **Tableau**. It provides insights into sales patterns, price distributions, and property conditions using interactive charts and maps.
## 📊 Overview
This dashboard displays trends and distributions for house sales in King County, Washington, using data from **Mo Chen's Tableau End-to-End Portfolio Project** on GitHub and YouTube.
### Key Insights:
- **Daily Average House Sales Price**: Shows price fluctuations throughout October 2014.
- **House Price Distribution**: Visualizes the frequency of sales across different price ranges.
- **Bedroom and Bathroom Distribution**: Displays the most common property types by bedrooms and bathrooms.
- **View vs. Condition Heatmap**: Analyzes the relationship between house conditions, views, and average prices.
- **Geographical Insights**: Uses a map to show house sales patterns across King County neighborhoods.
---
## 🛠️ Tools & Technologies Used
- **Tableau** (for dashboard creation)
- **Excel** (for data preparation)
- **Python (Pandas)** (for data cleaning - optional)
- **GitHub** (for version control and project sharing)
---
## 📂 Project Files
- `Dashboard.twbx` – Tableau packaged workbook with the dashboard.
- `data.xlsx` – House sales dataset.
- `HouseSalesAnalysis.png` – Screenshot of the completed dashboard.
- `README.md` – This project documentation.
---
## 📈 Dataset Information
- **Source:** [Mo Chen GitHub](https://github.com/mochen862/tableau-end-to-end-portfolio-project) and Mo Chen’s YouTube Channel
- **Columns Include:**
- `date` – Sale date
- `price` – House sale price
- `bedrooms`, `bathrooms` – Number of rooms
- `sqft_living`, `sqft_lot` – House and lot area
- `condition`, `view` – Condition ratings and view scores
- `zipcode`, `location` – Geographical details
---
## 💡 Insights Discovered
- **Price Trends:** House prices peaked mid-October 2014, with an average around $450K–$500K.
- **Most Common House Type:** 3-bedroom houses were the most sold.
- **View Impact on Price:** Houses with excellent views and good conditions had the highest average sale prices.
- **Regional Sales:** The northern region of King County experienced the highest sales volume.
---
## 🚀 How to Reproduce This Dashboard
1. **Download the Dataset:** From Mo Chen’s GitHub repository.
2. **Open Tableau Public or Desktop:**
3. **Connect to Data:** Import `data.xlsx`.
4. **Create Sheets:**
- Line chart for daily sales price.
- Histograms for price and room distributions.
- Heatmap for view vs. condition.
- Map for geographical analysis.
5. **Assemble the Dashboard:** Arrange all sheets with filters and tooltips.
6. **Publish or Export:** Share via Tableau Public or save as `.twbx` file.
---
## 💻 Learning Resources
- **[Mo Chen YouTube Channel](https://www.youtube.com/@mochen)** – End-to-end Tableau tutorials.
- **[Tableau Documentation](https://help.tableau.com/)** – Official documentation for best practices.
- **[Kaggle](https://www.kaggle.com/)** – Practice with similar datasets.
---
## 🏷️ Tags
`Tableau` `Data Analysis` `House Sales` `Portfolio Project` `Real Estate`
---
## 📢 Author
- **[Your Name]** – Data Analyst and Tableau Enthusiast
- **GitHub:** [Your GitHub Profile]
- **LinkedIn:** [Your LinkedIn Profile]
---
⭐ If you found this project helpful, please consider giving it a star on GitHub! ⭐