A Neural Network Model for Visualization Recommendation System

Selection of the right and appropriate visualizations are often a challenging task for data analysts, especially in high dimensional data spaces. As a solution to this problem, this thesis would aim to study the best practices in the area of Visualization Recommendation Systems and propose a solution which handles the drawbacks of the current systems using Neural Network Models. The system should be able to perform user intended task encoding as well as extraction of data characteristics. The proposed model should be trained on these characteristics and intended tasks to produce the weightage distribution of visualization forms