In my Management Information course, I undertook a notable project wherein I cleaned data from a CSV to develop a robust and operational code expressly crafted for the visualization of substantial datasets. The primary objective was to create an interactive and user-friendly interface, showcasing a profound understanding of data visualization principles and software development.

In a pivotal project, my approach involved sourcing a pertinent CSV file from Zillow, a renowned real estate platform, as the foundational step in my data analysis journey. After meticulous selection and acquisition, I dedicated substantial effort to cleansing the dataset, ensuring its integrity and relevance for subsequent analysis. Employing Python programming, I crafted a comprehensive codebase proficient in data visualization, leveraging libraries such as Pandas and Matplotlib. This code not only showcased my technical prowess but also aimed to create visually impactful representations of the real estate data, providing meaningful insights through graphical elements. The combination of strategic data selection, rigorous cleaning processes, and adept Python coding exemplified my commitment to delivering comprehensive and visually compelling analyses in the realm of real estate.

Link to Presentation of Project