Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural…

We formulate data visualization as a sequence to sequence translation problem. TLDR; We train a model that can take in a dataset as input and generate a plausible visualizations as output. This work is done jointly with a colleague (Cagatay Demiralp) and started from a conversation we had after a paper discussion meeting. We had read some papers where various forms of generative models were used to create a wide range of stuff -- from generating images (GANs), music, source code etc to generating questions and answers about images (VQA) etc. Despite the quirks that can sometimes be associated with generative models (one eyed cats, music that ultimately lacks that natural feel etc), they all demonstrate a promise of value when trained and deployed at scale.