Sequegencis (Data Visualization web app)

Technology Stack: React Js, Ant Design, Papa Parse(for parsing CSVs), Visx (for Charts), Tanstack Table

Achievements
Implemented (OOP) principles to manage the parsing of CSV files efficiently, allowing for
robust data manipulation and enhanced code maintainability.
Optimized the data reading process to handle large files up to 60 MB directly in the
browser, significantly improving the app’s performance and user experience when dealing
with substantial datasets.
Integrated Visx, a low-level visualization library, to create highly customizable charts. This
feature includes advanced filtering options, enabling users to interact dynamically with the
data visualizations based on specific parameters.
Developed a functionality that allows users to select a sample range of data to be
visualized in a table format. This feature helps in focusing on specific segments of data,
enhancing the analytical capabilities of the app.
Provided advanced filtration and search capabilities within Tanstack Table, enabling users
to filter and locate specific data points efficiently. This improves the usability of the data
presented, allowing for more detailed and targeted data analysis.