This project provides an in-depth analysis of housing sale data through a series of visualizations and dashboards created with Tableau, supplemented by a detailed PowerPoint presentation and an Excel dataset. It aims to uncover trends, patterns, and insights within the housing market, facilitating informed decision-making for real estate professionals, analysts, and enthusiasts.
An interactive Tableau dashboard offering dynamic visualizations of housing sales data. It allows users to explore various aspects of the data, such as price trends, geographic distribution, and other relevant metrics.
A PowerPoint presentation summarizing key findings and insights derived from the Tableau dashboard. It provides a narrative structure to the analysis, making it accessible for presentations or reports.
The foundational dataset used for the analysis contains detailed records of housing sales, including prices, locations, features of the houses, and more.
Open the Tableau dashboard file (.twb) with Tableau Desktop to interact with the visualizations. Filter, sort, and drill down into the data to uncover specific insights.
The PowerPoint presentation offers a guided tour of the analysis, highlighting key points and conclusions. It's perfect for sharing insights with those who may not interact directly with the Tableau dashboard.
Access the Excel dataset to see the raw data used for the analysis. This is ideal for those looking to perform additional analysis or understand the data's structure and quality.
Ensure you have Tableau Desktop installed to open the TWB file. Any standard software capable of opening PowerPoint files (e.g., Microsoft PowerPoint, Google Slides) can be used to view the presentation. The Excel dataset can be viewed and manipulated with any software supporting Excel files, such as Microsoft Excel or Google Sheets.
We welcome contributions from the community! Whether you have suggestions for additional analyses, improvements to the dashboards, or would like to contribute to the dataset, please feel free to open an issue or submit a pull request.