This document summarizes a study on identifying chart types from images shared on Twitter and predicting how viral (retweeted and liked) the images will be. The study used a convolutional neural network to identify 11 different chart types from images. It also used a multi-modal neural network to jointly predict retweets and likes by using features from the images as well as author metadata. The study introduced two new datasets (DataTweet+ and DataTweet) of charts collected from Twitter and found the models performed best when trained on these realistic datasets compared to benchmark datasets.