Descriptive Data Visualization Dashboard of LQ45 Stock Price Movements using Pygwalker

Evans Winanda Wirga (Gunadarma University)
Julia Fajaryanti (Gunadarma University)
Akmal Ridho Rabbani (Gunadarma University)
Wisnu Sukma Maulana (Gunadarma University)

International Journal Multidisciplinary Science
Vol. 4 No. 2 (2025): June: International Journal Multidiciplinary Science

This research aims to design and develop a descriptive data visualization dashboard for analyzing stock price movements on the LQ45 index. The interactive dashboard is designed to present a summary of descriptive statistics, historical trends, and stock price volatility of LQ45 constituents. The research method applied refers to the CRISP-DM approach and the Dashboard Design Pattern principle, which includes stock price data collection, descriptive statistical analysis, and effective data visualization design. The results of this research are expected to be a useful tool in providing an overview of historical stock price patterns with an interactive approach.