Work

Descriptive Data Visualization Dashboard of LQ45 Stock Price Movements using Pygwalker

Year: 2025

Type: article

Abstract: 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.

Source: International Journal Multidisciplinary Science

DOI: 10.56127/ijml.v4i2.2205

Authors: Evans Winanda Wirga, Julia Fajaryanti, Akmal Ridho Rabbani, Wisnu Sukma Maulana

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4412683660

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