Full Text PDF
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 10 No 5 (2026): Volume 10, Issue 5, May 2026 | Pages: 484-488
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 25-05-2026
This project involves conducting an exhaustive analysis and visual representation of the Tmdb movie data. In connection with the rapidly growing movie industry, it becomes evident that there exist many data sets which can be useful for analysis and prediction purposes based on the extracted information. The present paper relies upon the structured data set of movies with various features such as genre, year of release, budget, profitability, length of the film, average rating of users, vote counts, and countries involved in the movie production. One can conduct the study of the dependencies related to the success of the movie by using these features. It is important to understand how financial features affect the success of the movie, the preferences of the audience in regard to certain movie genres, and trends related to the movie itself. Besides, it is possible to create models predicting future revenue and popularity of the movie using particular input attributes. Significant dependencies have been revealed in respect of the budget and profitability, preferences of audience concerning movie genres, and movie rating.
Movie data set, Tableau, Data visualization, Exploratory Data Analysis (EDA), Dashboard design, Film analytics, Data storytelling, Box office analysis.
Hana Yadullah, Ayesha Asna, Izma Fatima, & Hiba Anjum. (2026). Tmdb Movie Dataset Analysis Using Tableau. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(5), 484-488. Article DOI https://doi.org/10.47001/IRJIET/2026.105067
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
S. Afzal et al., “Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey,” ACM Transactions on Interactive Intelligent Systems, 2023.
D. S. Kwaghzan, “A Machine Learning-Based Platform for Sentiment Analysis of Movie Reviews,” International Journal of Computer Science and Mathematical Theory, 2025.
Y. S. You et al., “Design and Development of Visualization Tool for Movie Review and Sentiment Analysis,” Proceedings of EDB Conference, 2016.
S. Bohra et al., “Hybrid Machine Learning Based Recommendation Algorithm for Multiple Movie Dataset,” Indian Journal of Science and Technology, 2023.
S. Roy, “Data Visualization on Movies Dataset using Tableau,” International Journal of Engineering Trends and Technology, 2019.
R. Bhoomika et al., “Data Analytics and Visualization Using Tableau for IMDb Movies & Shows,” IJPREMS, 2024.
R. Roopa and H. Khanam, “A Comprehensive Study on Advanced Video Data Preprocessing Techniques for Enhanced Object Detection,” REST Journal on Data Analytics and Artificial Intelligence, 2024.
S. Few, Information Dashboard Design: The Effective Visual Communication of Data, O’Reilly Media, 2013.
The Movie Database (TMDb), “TMDB 5000 Movie Dataset,” Kaggle, 2017.