Treffer: Data Visualization Using Graphical User Interface

Title:
Data Visualization Using Graphical User Interface
Source:
Journal of Innovations in Data Science and Big Data Management; Vol. 3 No. 2 (2024); 19-25
Publisher Information:
Journal of Innovations in Data Science and Big Data Management 2024-06-06
Document Type:
E-Ressource Electronic Resource
Availability:
Open access content. Open access content
Copyright (c) 2024 Journal of Innovations in Data Science and Big Data Management
Note:
application/pdf
English
Other Numbers:
INMAT oai:ojs2.matjournals.net:article/529
1519325247
Contributing Source:
MAT JOURNALS
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1519325247
Database:
OAIster

Weitere Informationen

This research project embarks on the intricate data visualization journey of crafting a user-friendly Graphical User Interface (GUI) utilizing Python with Tkinter, primarily focusing on seamlessly integrating linear regression analysis. The GUI's development journey is characterized by meticulous attention to detail, culminating in an interface that empowers users to explore datasets, craft visual representations, and conduct predictive analyses with unparalleled ease. Iterative design processes, meticulous implementation phases, and rigorous usability testing have collectively shaped the GUI into a robust tool, boasting streamlined functionalities such as effortless dataset uploading, intuitive variable selection, and a diverse spectrum of visualization options.The imperative for practical visualization tools is unequivocal in the contemporary data-dominated landscape. As the volume and complexity of data continue to escalate, an urgent need arises for tools that empower users to extract meaningful insights rapidly and efficiently. Traditional data analysis methods often entail intricate coding and command-line interfaces, posing significant hurdles for non-technical users.