NYC Housing Data

In this project, I downloaded Streeteasy's publicly available dataset to gain a better understanding of NYC Housing Trends. While Streeteasy already provides built-in visualizations on the data landing page, I conducted my own analysis to explore Python's capabilities for creating dashboards and to examine the raw data myself. I performed data cleaning using Python and the Pandas library. Subsequently, I transformed the data into a web-based dashboard using the Plotly and Dash libraries in Python.

Unfortunately, hosting the dashboard would require paying for an application cloud server. However, the data and code used to generate the dashboard are available on my GitHub.